Science topics: Research
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Hello!
I am working on securing a grant for a study design on participants' willingness to participate in clinical trials. We were hoping to keep surveys anonymous and have them unpaired/unmatched. We would do a pre and post-survey for patients. I'm wondering--what statistical analysis would be best for analyzing those results. I've read mixed reviews on unpaired analyses.
Our potential sample size is 231.
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David Sul - Sorry for this late reply, but thank you for the clarification there as well. This makes sense for study design and the anonymous vs confidential is helpful!
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So I am conducting a research on changes in NO2 and aerosol index during a certain time period of 1 year. I am using sentinel-5 data. Following is the link:
I used anaconda(spyder) to analyze the data, creating a map for each day. So in total, there are like more than 30 images. A made a collage of these for my manuscript but it doesn't look quite neat. And is a bit difficult to comprehend.
Is there any way I can integrate these images into one i.e. one image per month that reveals the average. Any tool or software that is acceptable for research purpose. I really need help with this.
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With one year of image data on NO2 and aerosols, you can produce much more specific statistics than just an average yearly value per pixel.
What about P99, P95 percentiles? I figger your imagery must contain different strata, hence produce percentiles for these strata, and you will learn much more about pollution behavior than just with a yearly average value. Instead of using Matplotlib, it is better to use ENVI and Statistica combined to do the job.
#Justsaying
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I'm doing some research on how stores can be used as educational tools... so looking for actual examples of t
  1. eureka moment (struggling to understand a concept and then finally being able to crack it OR a creative idea) after reading story or better yet, a group of stories. Group of stories can include things like case study collections, compendiums, or anything including more than one case.
  2. Bridging the gap between theory and practice as a result of reading a story.
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One impactful example of AI in higher education is the use of AI-powered virtual assistants to support students in their academic journey. These virtual assistants can provide 24/7 support for common inquiries, such as course registration, assignment deadlines, and campus resources.
For instance, at a university implementing such a system, students reported feeling more supported and empowered to navigate their academic responsibilities effectively. The virtual assistant not only reduced the burden on administrative staff but also improved student satisfaction and retention rates.
Moreover, by analysing student interactions with the virtual assistant, institutions can gain valuable insights into students' needs and pain points, allowing them to make data-driven decisions to enhance the overall learning experience.
This example illustrates how AI can have a tangible impact on higher education by improving student support services, fostering student success, and optimizing institutional resources.
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Thinking of journals as “low tier” or “high tier” is distracting from what you actually need to do, which is good work. Do your work as best you can, and publish in the fanciest journal that will accept your papers. Trying to over-optimize will lead to a lot of wasted time and lost productivity, which might end up hurting your chances for future jobs. And you also don’t want to give the impression that you’re more interested in the journal you publish in than in the work you do.
The main difference between a “high tier” journal and a “lower tier” one is that the high tier selects papers that have more surprising results, and are more likely to be wrong. You read that right — results in “fancy” journals such as Nature or Science are pretty often wrong, which makes sense given that they are “groundbreaking”. When doing groundbreaking work, it’s likely you’ll make a lot of mistakes; that’s the price you pay for going too far off the beaten path. Results that make it to more average journals are more mundane, but for that reason it’s also easier to make them more rigorous, and thus it’s less likely they’re wrong.
Remember also that no journal has dedicated reviewers. The people reviewing your work will be essentially the same, whether in Nature (impact factor >30) or in PLOS (impact factor about 3). So a fancy journal selects for how amazing your work sounds more than for how good it is.
That said, of course you want to stay away from the creepy “journals” that invite you to publish your work in them without getting your name right or having any idea what your work is about. It’s probably better to not publish at all than publish there. In some fields — like theoretical physics and most of math — people only really care about the results being available on a preprint server like the arXiv and don’t care where the work ends up being published. This is starting to become more popular in some areas of biology, too, with the bioRxiv (preprint server for Biology).
Another common sense thing to do is to first try publishing your work in a journal that’s just a bit fancier than you think your results are. If they reject your paper, go down the ladder. So if you’ve found a nice, new result that seems somewhat surprising, it’s worth considering submitting it to Nature or Science (or whatever the fancy journal of choice is in your field), just in case they like it. But if your work is a rather obvious extension of existing work, you might be better off heading for a more specialized journal that puts less emphasis on groundbreaking results.
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There are several factors to consider when deciding whether to publish in a low-tier journal as a PhD student:
Pros:
  • Get Published Faster: Lower-tier journals often have faster review times and publication cycles. This can be beneficial for PhD students who need publications to fulfill degree requirements or boost their CV for job applications.
  • Less Competitive: Low-tier journals may be less competitive than top-tier publications, making it easier for a PhD student to get their work accepted. This can be particularly encouraging for new researchers.
  • Gain Publishing Experience: The process of writing, submitting, and revising a manuscript is valuable for any researcher. Publishing in any journal can help you develop these skills.
Cons:
  • Limited Visibility and Impact: Low-tier journals typically have lower readership and citation rates compared to top-tier journals. This means your research may reach a smaller audience and have less influence on the field.
  • Potential Damage to Reputation: Publications in some low-tier journals might reflect poorly on your academic credibility. Carefully research the reputation of the journal before submitting.
  • Detracts from Job Prospects: While some publications are better than none, some employers, particularly in prestigious academic institutions, might prioritize candidates with publications in high-impact journals.
Alternative Strategies
  • Aim High, But Have a Backup Plan: Start by targeting high-impact journals in your field. Be prepared for potential rejections and have lower-tier options in mind if needed.
  • Conferences and Presentations: Presenting your research at conferences can be a valuable way to disseminate your findings and gain recognition, while also building your network.
  • Focus on Quality Research: Ultimately, the quality of your research is most important. Strong research, even if published in a lower-tier journal, will attract attention and citations.
Making the Decision:
The decision to publish in a low-tier journal should be made on a case-by-case basis. Consider the following factors:
  • Quality of the Journal: Research the journal's reputation, editorial board, and past publications.
  • Importance of Publication: How important is it for you to get published quickly?
  • Strength of Your Research: Is your research strong enough to be competitive in a top-tier journal?
General Advice:
  • Discuss with your advisor: Seek guidance from your PhD advisor regarding publication strategies and appropriate journals for your field.
  • Prioritize Quality: Always aim for reputable journals that uphold rigorous peer-review processes.
  • Build a Strong Publication Portfolio: Ideally, your PhD research should culminate in publications in a variety of journals, high-tier and potentially lower-tier depending on the specific project.
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I am a student conducting research for my course and I am having trouble in finding a pill for Ketoconazole. However, there are a lot of creams available in the pharmacies. Would it be possible to use that cream when testing against grown fungi on plates?
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Using topical cream as the source of antibiotic for the disk diffusion method may not be the most reliable or standard approach. The disk diffusion method typically requires the use of standardized antibiotic disks containing specific concentrations of antibiotics. These disks are manufactured under controlled conditions to ensure accuracy and reproducibility of results.
Topical creams may contain various other ingredients besides the active antibiotic compound, which could interfere with the diffusion of the antibiotic into the agar medium or affect the results of the test. Additionally, the concentration of the antibiotic in a topical cream may not be suitable for the disk diffusion method.
If you need to perform the disk diffusion method, it's best to use commercially available antibiotic disks that are specifically designed for this purpose and have been validated for accuracy and reliability. If you're looking to test the efficacy of a topical cream, it's more appropriate to use other methods such as minimum inhibitory concentration (MIC) testing.
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I am studying leadership style's impact on job satisfaction. in the data collection instrument, there are 13 questions on leadership style divided into a couple of leadership styles. on the other hand, there are only four questions for job satisfaction. how do i run correlational tests on these variables? What values do i select to analyze in Excel?
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First, you need to do the correlation between your target variable and each of your potential independent variables. After checking what independent variables are the more correlated to your target variable (as mentioned earlier coefficient correlation closest to - 1 or + 1). Once, you decide according to these correlation coefficients which variables you can select for your model, you need to ensure that there will be no multicollinearity in your model. To ensure that, for each independent variable you do correlation tests again. If two independent variables are too correlated, you should introduce only one in your model (e.g. the variable which had the higher correlation rate with your dependent variable).
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Hey there!
I want to learn about correlation. I recently worked on a project related to rice genotypic trials, using a one-factorial RCBD design. While I know how to statistically analyze phenotypic and genotypic correlation, I specifically want to learn how to analyze environmental correlation using R. Could anyone help me out?
Thank you in advance. :)
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See the video on youtube on the subjects
genotypic and phenotypic correlation in r:
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If after doing PhD, a research scholar has 4 to 5 papers published, and all are published in the same journal (SCIE), then what impact does it have on his future teaching, academic career, or post-doc?
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I think it is not a good idea to publish so many PhD thesis related research papers in one journal; it is better if the papers are published in different journals. If you decide to publish all papers in one journal, then you should select a high impact journal, and it is not easily possible. Top high impacts journals have very strict rules and high standards to select papers for publication. However, the importance of the research papers to fill the research gaps bring worth and appreciation.
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The pan-country study could have further divisions/categorization based on different criteria. Any recommendations would be greatly appreciated. Thank you!
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ГІГІЄНІЧНЕ ОЦІНЮВАННЯ ЗАКЛАДІВ ОХОРОНИ ЗДОРОВ’Я ДЛЯ НАДАННЯ ПСИХОЛОГІЧНОЇ І ПСИХІАТРИЧНОЇ ДОПОМОГИ НАСЕЛЕННЮ В ДОВОЄННИЙ ПЕРІОД ТА В УМОВАХ ВОЄННОГО СТАНУ
14.02.01 - Гігієна та професійна патологія
222 Медицина
22 Охорона здоров’я
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Using Latex, I want to insert the Google Scholar icon and Researchgate in my CV. I used the following command, but it doesn't appear researchgate icon. Link works.
\newcommand{\researchgatesocialsymbol}{\faResearchgate}
\newcommand*{\Researchgate}[1]{\sociallink{\researchgatesocialsymbol}{http://www.#1}{#1}}
Compiled this command line in the main .tex file.
Your assistance would be appreciated.
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I inserted it into my CV in the following manner:
\usepackage{academicons}
\newcommand{\makefield}[2]{\makebox[1.5em]{\color{MarkerColour!80!black}#1} #2\hspace{2em}}
\makefield{\faResearchgate}{\href{https://www.researchgate.net/profile/....}{\texttt{https://www.researchgate.net/profile/.....}}}
For Google Scholar, you need to use the figure command.
\makefield{\includegraphics[height=0.95em]{googlescholar3.png}}{\url{https://scholar.google.com.pk/citations............}}
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Dear connections, I’m currently searching for a PhD/Research position in the field of “Energy Transition”, with a strong interest in Energy Systems Analysis & Modeling as well as Clean Energy Technologies (EV,..). My research track is in the field of energy market analysis & forecast using AI. In my M.Sc. thesis at The American University in Cairo, I managed to build an energy planning model using different ANN topologies, that will help in securing the balance between the energy supply and demand in the United Kingdom for different end-use sectors; domestic, industrial, transport, and services sectors. I also carried out a long-term forecasting for the UK's final energy consumption up to the year 2035, and analyzed the results comparing to the outlook of the UK’s governmental department of Business, Energy & Industrial Strategy (BEIS). Being a Future Energy Leader at the World Energy Council and an energy transition advocate, I understand the importance of humanising energy and contributing to the global dialogue on energy and sustainability issues. On the other hand, I have 11 years of professional experience in the oil and gas, refining, and petrochemical industries at Enppi, one of the leading engineering and EPC main contractors in the Middle East and Africa. I am definitely open to expanding my career path in other "Energy Transition" fields of research, and open for relocation, if the PhD requires so. Please let me know if there are any potential openings. Thank you.
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Greetings Haidy,
Have you checked the Energy and Resources Ph.D. Program at the University of California, Berkeley? It could be an option. You have both professional and research experience in the energy field.
Best regards,
Marx
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'Research is a fruitful journey that brings me closer to the world and its people, gives me another layer to believe in a creator, offers me material wealth and recognition, swallows my loneliness, fears and inadequacies; a soothing activity that makes life extremely meaningful to me.'
-Dickson Adom
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Dear friend and co-author, Dr Dickson
precisely agree!!!!!!!!!!!!!!!!!!!!!!
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Will the development of intelligent chatbots available on the Internet based on generative artificial intelligence negatively or rather positively affect the development of science, the development of scientific research, the analysis of data from research conducted, the description of results obtained from research conducted, the writing and publishing of scientific texts, etc.?
Recently, rapid development of ICT and Industry 4.0/5.0 technologies is taking place, including Big Data, Internet of Things, cloud computing, digital twins, multi-criteria simulation models, machine learning, deep learning and generative artificial intelligence, among others. Developments in generative artificial intelligence technology are being made through the use of artificial neural networks, among others. New applications of generative artificial intelligence are determined by the previously carried out process of GAI system training, i.e. teaching the implementation of specific skills, performing complex tasks, performing new functions, solving specific problems intelligently using deep learning technology. Increasingly, generative artificial intelligence technology is being trained to intelligently perform complex research and analysis processes. Among other things, this kind of application of generative artificial intelligence is the implementation of this technology for business analytics carried out using large sets of data and information, i.e. analytics carried out on computerized business intelligence and Big Data Analytics platforms. This type of analytics is being applied in various fields of knowledge, various sectors of the economy, various companies, enterprises, financial and public institutions. This type of analytics is also increasingly used in improving research processes and increasing the efficiency of complex analytical processes carried out as part of ongoing research in various scientific disciplines. Since OpenAI's ChatGPT chatbot was made available on the Internet, i.e. since November 2022, more similar intelligent chatbots created by other leading technology companies have been successively appearing. The intelligent chatbots made available on the Internet are used, among other things, in the development of the results of scientific research conducted, in the execution of certain stages of analytical processes, in the processing of results obtained from scientific research conducted, etc. The increase in the application of intelligent chatbots in research and analytical processes is due to the simplicity of operation of these chatbots, their availability on the Internet in the formula of open access, the ability of these tools to implement complex research processes, multi-criteria analysis, intelligent problem solving. On the other hand, the possibilities of applying the aforementioned chatbots in the processes of conducted scientific research are still severely limited due to the many imperfections of the databases on which certain generative artificial intelligence systems were trained. It still happens that the databases of data and information on which the said GAI systems were trained contain data and information in many respects outdated, incomplete, in the course of the "work" of these tools certain data and information can be "creatively" combined so that in the results of the work of a certain intelligent chatbot there are often "fictitious facts", ie. generated new and factually inconsistent content, factual errors, misrepresentations, falsehoods, which can be presented and described within the phraseologically, syntactically, stylistically correct essays, papers, articles, etc., written by generative artificial intelligence. Besides, the textual and other studies created by these tools often do not show all the data sources, all the source publications, all the materials that the chatbot used in drawing certain data and information while creating the commissioned human textual, graphic work, etc. Besides, even if the sources of data and information are partially shown, they are often shown in an incomplete way, inconsistent with the current standards for showing and compiling source and bibliographic footnotes. Perhaps, in the future, the aforementioned, used currently made available on the Internet intelligent chatbots will be sufficiently improved, corrected, supplemented so that they can be used by researchers and scientists in specific research, analytical processes within the framework of ongoing scientific research to a fuller extent and without the currently existing risks. Therefore, the development of intelligent chatbots available on the Internet based on generative artificial intelligence currently both negatively and positively can affect the development of science, the development of scientific research, the analysis of data from conducted research, the description of results obtained from conducted research, the writing and publishing of scientific texts, etc. Whether serious risks are generated or rather positive aspects prevail with the application of currently available intelligent chatbots on the Internet in certain aspects of the research and analysis processes carried out as part of the scientific research conducted depends on a number of factors. On the one hand, it depends on whether the technology company developing the said intelligent chatbots keeps improving them, enhancing them and expanding them with new functions and skills. On the other hand, it also depends on whether such cultivated specific research and analytical tools are used prudently by researchers and scientists with knowledge of the drawbacks and limitations associated with the use of these tools.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Will the development of intelligent chatbots available on the Internet based on generative artificial intelligence negatively or rather positively affect the development of science, the development of scientific research, the analysis of data derived from research conducted, the description of results obtained from research conducted, the writing and publishing of scientific texts, etc.?
Will the development of chatbots based on generative artificial intelligence negatively or rather positively affect the development of science?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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We have the tools ready. But the way we practice with it based on our experience and ethics is what really influences the outcome.
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AD Scientific Index is a reliable quality measure or a valuable tool for assessing institution and research quality, so it could soon become a significant factor in assessing both institutions and researchers.
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Yes you are absolutely right but some students donot know about the right indexing journals
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I completed my PhD last year and am currently not affiliated with or employed by a university. I continue to utilize my previous affiliation for manuscripts resulting from the projects I undertook during my PhD. However, I am involved in other collaborative projects. I am curious about the possibility of obtaining an honorary status from a university or research institute for the purpose of publication, allowing me to use their affiliation until I secure a post-doc or research position in a university or institution. Is this feasible?
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Securing an honorary affiliation for post-PhD publications is possible in some cases, but it ultimately depends on the policies and guidelines of the institution or organization you are seeking affiliation with. Here are some points to consider:
  1. Benefits of Honorary Affiliation: Honorary affiliation can provide credibility and recognition for your research work, especially if you are not currently affiliated with a formal institution. It can also help in building professional networks and collaborations.
  2. Considerations for Honorary Affiliation:Research Collaboration: Institutions may be more willing to provide honorary affiliation if you are collaborating on research projects with their faculty members or researchers. Publication Contribution: If your post-PhD publications are significant and contribute to the field, institutions may consider offering honorary affiliation. Professional Standing: Your professional standing, experience, and expertise in the field may also play a role in securing honorary affiliation.
  3. Approaching Institutions:Contacting the Institution: Reach out to the institution or department where you wish to seek honorary affiliation. Explain your research interests, publications, and how your work aligns with their research focus. Proposal: Provide a proposal outlining the benefits of honorary affiliation for both parties, such as potential collaborations, knowledge exchange, and research impact.
  4. Negotiating Terms:Publication Acknowledgment: Institutions may require acknowledgment of their affiliation in your publications. Duration: Clarify the duration of the honorary affiliation and any specific terms or conditions associated with it. Expectations: Understand the expectations from both parties regarding research involvement, contributions, and use of institutional resources.
  5. Alternative Options:Research Networks: Joining research networks, associations, or societies related to your field can also provide opportunities for collaboration and recognition. Collaborative Research Centers: Consider collaborating with research centers or institutes that offer opportunities for affiliated researchers.
It's important to approach institutions with a clear proposal and demonstrate the value of your research contributions. While securing honorary affiliation may not always be guaranteed, it is worth exploring as it can enhance your research profile and opportunities for collaboration.
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I begin scientific inquiry by somewhat philosophizing. Science approximately derives from philosophy. Engineering is roughly derived from science.
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Scientific research is a dynamic process that allows us to acquire new knowledge and understand the world around us. Here are the key steps to starting a scientific investigation:
1. Observation: The first step is to observe a phenomenon, event, or problem. This observation may arise from curiosity, detecting a pattern, or identifying a need, leading to formulating a question: why does this happen? How does it work? What is the cause?
2. Problem definition: The problem to be investigated is clearly defined based on the question generated in the observation stage. It must be relevant, interesting, and address a specific area of knowledge.
3. Formulation of the hypothesis: A hypothesis is an assumption or prediction about the relationship between variables. It is a tentative answer to the question posed. The hypothesis must be testable and capable of being evaluated through experimentation or analysis.
4. Experimentation: In this stage, the hypothesis is tested through experiments, observations, or data analysis. Data is collected and compared to the predictions of the hypothesis.
5. Evaluation and analysis: The results obtained are evaluated objectively. The data is analyzed, and conclusions are drawn. If the results are consistent with the hypothesis, it is confirmed. If they are not, it is adjusted or discarded.
6. Communication of results: The findings are communicated to the scientific community and the general public. This can be done through publications.
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I am a graduate student in Arizona State University's Learning Design and Technologies program currently taking a course on research and evaluation in education. Based on your experience, how would you describe the most significant distinctions between the practices of "research" and "evaluation"? Do you find there is meaningful overlap between the two? How do you see both practices fitting into your work?
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I think of research as a broad set of activities that involve systematically collecting and analyzing data in order to answer questions. In contrast, I think of evaluation as a specific type of research that is defined by the goal of assessing the effectiveness of programs and interventions.
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With studies moving online, it would be great to know about any reliable and valid online IQ tests. Using online tests of IQ could be essential in the current COVID-19 situation.
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IQ Tests require norming, g-loading data, and overall transparent design to be considered truly scientifically valid. A community on reddit called IQ Test, consisting of over 20,000 IQ Test Afficionados put together a list of all the IQ Tests currently being advertised as the "Best IQ Test", and ranked them from top to bottom by g-loading, and published norm data wherever possible. You can see the list of IQ Tests at end of this post. The top pick with the highest g-loading factor, is realiq.online. The creators say exactly how the test is made right on the home page, they have shared their norming and g-loading data, and its the highest right now in the industry. Many millions of people have taken it, and generally those who have taken in person IQ Tests have reported its accuracy as having reached parity of proctored exams.
Here is the list of those Tests, titled A Guide to Help You Find the Best IQ Test That Is Both Accurate and Free
Furthermore, I would consider any online IQ Test that isn't on the above list to likely be an F-Tier test, and if you here it mentioned anywhere its just spam trying to profit off your time.
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Another try to make progress in eliminating ignorance/delusion and arrogance and conceit in behavioral SCIENCE.
For science , for empiricism (and for AI (<-- to enlist, YET eventually dispel, the greed motivator)) : the truly empirical behavioral scientists, those who ARE empirical in studying behavior PATTERNS (SO: just and only all the involved overt behavioral PATTERNS will do, when looked at developmentally, for ALL explanation), must work in a way to come to see that THE MAJOR TYPES OF LEARNING (and these occur during ontogeny) ___ ARE ___ found (discovered, like the naturalist) to BE major kinds/types of INDUCTION (as is true of all other developed organisms). We cannot be that different for it to be otherwise.
As true factual and empirical as classical and operant conditioning (and habituation, etc.) ARE, THESE ARE the extreme trivial details. [ AND, one must realize : "Social leaning" is a farce, for such a vague concept looses the individual organism as the ONLY true empirical unit-of-analysis -- which it IS (MUST be, that's biology, friends). ] MY system of understanding, in my two major papers, OUTLINES what one should find concretely IN OVERT BEHAVIOR PATTERNS (and never leave the word "patterns" out ) -- reflecting the major types/kinds of induction.
[ And, though big on induction, the proximate causes are [ attentional / ] perceptual shifts . (I hate to say it, but one can reason-out the necessity of this being the case.) ]
Starting with this attitude and outlook, only then can we find (AS IS NECESSARY for ALL good reasons and science) the was-ness in the is-ness ( i.e.; previous grand well-developed units as THE units, or portions as part-units, USED IN more advanced inductive reasonings). This all (all the above) is absolutely the shortest way of saying what we MUST realize (<-- not "just subjectively" at all) ). AND: one cannot argue an excuse, or THAT ITSELF is THE VERY damning premature hypothetico-deductive "reasoning" , the very essence of arrogance and conceit AND that which necessarily derails science -- that being the necessary consequence of "jumping the gun" on prediction .
Any questions? I am 70 years old, so one will find further true leads / clues (or that which will result in true leads IN my WORK (science essays and the theory outlines)) , I have introduced before in my writings, beginning 40 years ++ ago.
[ FOOTNOTE : the descriptors provided by researchgate ARE GROSSLY INCOMPLETE and INADEQUATE. Just one example : NO "inductive reasoning" ! : this is the premature know-it-all stance that has been, and is, destroying science (AND us). ALSO : no "innate action pattern" !! No : "hypotheses" -- enabling THAT to be a SUBJECT itself ! Come on ! It's sickening -- and NOT the way to make progress, but the way to fail. (One used to be able to add non-existing descriptors, but THAT is gone, obviously WAY TOO SOON.) ]
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Wisdom can emerge at any time rather than regurgitation of past knowledge and its deductions. This being said, our limited knowledge of cognitive development has to be based on observations of diverse reality, as per Copernicus. The observer does have an intricate effect upon the observation, so deductive reasoning alone limits and induction takes us beyond the assumptions of neatly packaged compartmentalized thinking, antithetical to the pioneers in thought and cognition. Margaret Mead tried to break through this by her investigations into other diverse culture/paradigmatic views. She said: "Children need to be taught how to think, not what to think." Albert Einstein in Relativity recognized that everything is relative, everything is in relationship with everything else from the microcosmic to the macrocosmic. The analogs in nature he observed led to his own theory inductions, never fully proven by science until years after his death. He stated: "I live my daydreams in music. I see my life in terms of music." Art met Science in his thinking. We need merger of the arts to express cognitions that go beyond our current cognitions/assumptions/compartmentalized thought and observe All inducing in us that which we participate in throughout the cosmos. Then science can deduce new ideas from that inspirational origin with first humility and then heuristic quality. Psychology is still a new science still defending itself by certitude of what cognition is, which limits our understanding. William James, the Father of American Psychology investigated the "Stuff of Consciousness" grounding in the observable, pragmatics of the stuff of the Cosmos.
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University teachers have jobs such as teaching, so what percent of their time is spent on research?
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This is a technical dilemma. I think there is inadequate input in research generally due to overload
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I'm awarding you a PhD!
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I have encountered significant obstacles in funding publication fees for my well-executed research, resulting in prolonged delays and discouraging responses from journals. Despite diligently submitting to fee-waived journals and ensuring that my research aligns with their scope, I consistently receive standardized rejections citing reasons such as 'out of scope,' which does not accurately reflect the nature of my work.
As a researcher striving to disseminate valuable findings, I am seeking guidance on how to navigate this challenging scenario effectively. How can I secure funding or explore alternative avenues to cover publication fees? Additionally, how can I address the issue of misaligned responses from journals and ensure that my research receives fair consideration within the academic community?
I would greatly appreciate any insights or recommendations from fellow researchers who may have encountered similar challenges in the publication process. Your expertise and advice would be invaluable in helping me overcome these hurdles.
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Hello Dr Jennifer Santos
I think you are pursuing a valid path and it is important not to be discouraged at this point. It is very natural to be discouraged.
One senior researched said to me many years ago with regard to a paper we had written but had been rejected by two different journals: "It is good work; don't worry, it belongs in a journal; it will definitely get published eventually; just keep trying".
I think this situation also highlights it is very important to find a suitable journal that fits in well with your work. This is discussed further in webpages such as this:
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Spirituality means something that actually you are, but without senses and body. But without senses and boy, what is left? and what is reach of present scientific approach.
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Before getting a serious scientific approach to spirituality you need a serious approach to what spirituality is. The definition of spirituality you wrote in your question is wrong: spirituality is not “something that actually you are, but without senses and body”. I have written the most serious article currently available about the definition of spirituality: . It is the most serious because it discusses critical perspectives, other researchers’ results, historical and cultural aspects of the question. If you know more serious and critical articles on the topic, let me know, please. The fact that there is so much confusion, rubbish, lack of critical research about spirituality, is sad, but is a fact and is discussed as well in my article.
After getting a good critical idea about what spirituality is, you will be able, automatically, to understand much better your own question about a scientific approach to spirituality.
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for example, computer science
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Gentleman, the most reasonable thing in research is to focus on efficiency ...
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If man succeeds in building a general artificial intelligence, will this mean that man has become better acquainted with the essence of his own intelligence and consciousness?
If man succeeds in building a general artificial intelligence, i.e., AI technology capable of self-improvement, independent development and perhaps also achieving a state of artificial consciousness, will this mean that man has fully learned the essence of his own intelligence and consciousness?
Assuming that if man succeeds in building a general, general artificial intelligence, i.e. AI technology capable of self-improvement, independent development and perhaps also obtaining a state of artificial consciousness then perhaps this will mean that man has fully learned the essence of his own intelligence and consciousness. If this happens, what will be the result? Will man first learn the essence of his own intelligence and consciousness and then build a general, general artificial intelligence, i.e. AI technology capable of self-improvement, independent development and perhaps also obtaining a state of artificial consciousness, or vice versa, i.e. first a general artificial intelligence and artificial consciousness capable of self-improvement and development will be created and then thanks to the aforementioned technological progress made from the field of artificial intelligence, man will fully learn the essence of his own intelligence and consciousness. In my opinion, it is most likely that both processes will develop and implement simultaneously on a reciprocal feedback basis.
I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
If man succeeds in building a general artificial intelligence, i.e., AI technology capable of self-improvement, independent development and perhaps also achieving a state of artificial consciousness, will this mean that man has fully learned the essence of his own intelligence and consciousness?
If man succeeds in building a general artificial intelligence, will this mean that man has better learned the essence of his own consciousness?
And what is your opinion about it?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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It will be very difficult to create an AGI... and it will be a different type of intelligence...
The cognitive system will have to go through "crime and punishment"... The genie will need to be let out of the bottle... Only intense mental suffering shapes humanity and spirituality... You have to love and hate at the same time... Mental struggle necessarily leads to a violation of ethics, morality...
Governments are trying to ban this path of AI development... But without this, AGI cannot be created...
Without a Soul there is no AGI! ... there is no consciousness and human intelligence...
AGI will appear like Covid-19... from secret laboratories... after many, many decades...
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Dear Researchers
How am I supposed to continue a new project left from a former undergraduate's research project? What kind of questions am I supposed to ask? This is the first time I ever had a research project assigned.
Thank you
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Start again. Define the topic and the problem you would like to solve (it may be the same as the previous student). Then formulate a hypothesis you want to test and the required methodology to do it :)
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How should ChatGPT and other similar intelligent chatbots be improved so that they do not generate plagiarism of other publications that their authors have previously posted online?
This issue is particularly important, because it happens that the data entered into ChatGPT, the information contained in the texts entered for the purpose of automated rewriting, remains in the database that this chatbot uses in the situation of generating answers to questions asked by subsequent Internet users. The problem has become serious, as there have already been situations where sensitive data on specific individuals, institutions and business entities has been leaked in this way. On the other hand, many institutions and companies use ChatGPT in the preparation of reports, editing of certain documents. Also, pupils and students use ChatGPT and other similar intelligent chatbots to generate texts that act as credit papers and/or from which they then compose their theses. On the other hand, functions have been added to some existing anti-plagiarism applications to detect the fact that ChatGPT is being used in the course of students' writing credit papers and theses. In addition to this, the problem is also normative in nature, as it is necessary to adapt the legal norms of copyright law to the dynamic technological advances taking place in the development and application of generative artificial intelligence technology, so that the provisions of this law are not violated by users using ChatGPT or other similar intelligent chatbots. Among the important issues that could significantly reduce the scale of this problem would be the introduction of a mandatory requirement to mark all works, including texts, graphics, photos, videos, etc., that have been created with the help of the said intelligent chatbots, that they have been so created. On the other hand, it is necessary for the AI-equipped chatbots to be improved by their creators, by the technology companies developing these tools, in order to eliminate the possibility of ChatGPT "publishing" confidential, sensitive information from institutions and companies in response to questions, commands, tasks of developing a certain type of text by subsequent Internet users. In addition, the said intelligent chatbots should be improved in such a way that if in the course of automated text generation, including inspiration from other source texts, "quoting" whole sentences, substantial fragments of them, substantive content of other publications but without fully showing the sources, i.e. without a full bibliographic description of all the source publications that the chatbot generating subsequent texts used. In addition, the user of the aforementioned intelligent chatbots does not know to what extent the text they created with the help of these tools is plagiarized from other texts previously entered into them or from publications published on the Internet, including documents of companies and institutions, theses, scientific publications, industry articles, journalistic articles, etc.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How should ChatGPT and other similar intelligent chatbots be improved so that they do not generate plagiarism of other publications that their authors have previously posted on the Internet?
How should ChatGPT be improved so that it does not generate plagiarism of other publications that their authors have previously posted on the Internet?
And what is your opinion about it?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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I recommend AnswerThis, an AI research tool to facilitate the writing. https://answerthis.io/signup.
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We sometimes face difficulties in finding accessible data sources. Here are some data sources that are available freely for research:
1. Demographic and Health Survey (DHS) data (https://dhsprogram.com/data/available-datasets.cfm)
2. Global Tobacco Surveillance System Data (GTSSData) (https://nccd.cdc.gov/GTSSDataSurveyResources/Ancillary/DataReports.aspx?CAID=2)
3. Multiple Indicator Cluster Surveys (MICS) data by Unicef (https://mics.unicef.org/surveys)
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StatsCan is always a scholarly source. Although it is the Canadian federal government's statistics agency, researchers from anywhere in the world (in English or French) will find the website easy to use, and a good model for public access to research methods and results.
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Hi there! I am a Masters student in Counseling Psychology in City College, University of York and i am looking to recruit participants for my dissertation research. The theme is 'The impact of couples' personality compatibility on their overall relationship satisfaction'. I am looking for couples in commited relationships, who understand the English language, that would like to answer some questionaries.
For further information contact me in my email adress [email protected].
Thank you!
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Sure
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we are writing four dermatological books that will publish in Springer and need experienced authors or co-authors for book chapters, DM if you are interested.
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Yes I am interested. Can you explain the work in detail.
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ResearchGate does a pretty good job of tracking publication analytics such as reads and citations over time. The recommendations feature can also be an interesting indicator for a publication's resonance with the scholarly community.
This progress allow for ideas to be developed about how to make the analytics features even better in the future. Here are some ideas I have been thinking about:
  • something equivalent to Altmetric that tracks social media mentions across multiple platforms and mentions in news articles, conference proceedings, etc.
  • more longitudinal data for individual publications by month and year
  • the ability to compare the performance of one's own publications, with perhaps a way to rank them in analytic reports by reads, citations, etc.
  • More specific analytics to allow for comparisons within and between departments on an individual and collective basis, which can be sorted by discipline, field, etc.
Are there any additional analytics features that you would like to see on ResearchGate?
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That's a fair point. I am interested metrics like reads because my research focuses on student government and I have noticed that a lot of my readers appear to be students. These students may not yet be publishing academic works or they may be in a different discipline, but even though they are not formally citing the publications in journals, they may be using them to help with student government activities in practice. Keeping an eye on reads and the countries where the readers are may give indications about new student-led initiatives that are emerging. I'm curious about what the potential impacts could be and how this may correspond with changes in metrics like reads over time.
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Dear Scientists and Researchers,
I'm thrilled to highlight a significant update from PeptiCloud: new no-code data analysis capabilities specifically designed for researchers. Now, at www.pepticloud.com, you can leverage these powerful tools to enhance your research without the need for coding expertise.
Key Features:
PeptiCloud's latest update lets you:
  • Create Plots: Easily visualize your data for insightful analysis.
  • Conduct Numerical Analysis: Analyze datasets with precision, no coding required.
  • Utilize Advanced Models: Access regression models (linear, polynomial, logistic, lasso, ridge) and machine learning algorithms (KNN and SVM) through a straightforward interface.
The Impact:
This innovation aims to remove the technological hurdles of data analysis, enabling researchers to concentrate on their scientific discoveries. By minimizing the need for programming skills, PeptiCloud is paving the way for more accessible and efficient bioinformatics research.
Join the Conversation:
  1. How do you envision no-code data analysis transforming your research?
  2. Are there any other no-code features you would like to see on PeptiCloud?
  3. If you've used no-code platforms before, how have they impacted your research productivity?
PeptiCloud is dedicated to empowering the bioinformatics community. Your insights and feedback are invaluable to us as we strive to enhance our platform. Visit us at www.pepticloud.com to explore these new features, and don't hesitate to reach out at [email protected] with your thoughts, suggestions, or questions.
Together, let's embark on a journey towards more accessible and impactful research.
Warm regards,
Chris Lee
Bioinformatics Advocate & PeptiCloud Founder
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I think they remove the need for programming skills and make data analysis much easier to do quickly and efficiently! For the future, I look forward to considering adding more no-code functions to meet a wider range of research needs. Just like the no-code platforms used before, a lot of time will be spent on data processing and analysis, and with no-code tools It will make our work easier and easier
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As researchers and academics, we often have a community of followers on RG who engage with and support our work. I’m interested in exploring creative and sincere ways to express our gratitude to them. How do you thank your followers on RG? Let’s share ideas and best practices.
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Dear Doctor
to Express Gratitude to our RG Followers is through reading their novel contributions, answering their questions, and offer support via recommend and follow their works. In addition, we can offer advices as possible among each other. ResearchGate is a nice community and gratitude through these offerings is making this community be like sun beams that shine the academic world.
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Can I inquire about any concerns regarding SSCI Journal Submission?
Dear researchers,
I hope this message finds you well. I am writing to seek guidance and advice as I navigate the process of submitting an article to an SSCI journal.
Having recently completed my PhD in Business Administration in South Korea, I am eager to contribute to my field and enhance my career prospects. However, I must admit that I am grappling with concerns related to my proficiency in English. While I am diligently working to improve, the fear of submitting articles to SSCI journals persists due to my perceived limitations in English.
I would sincerely appreciate any tips or insights you may have regarding the submission process for SSCI journals. As I am committed to refining my language skills, your guidance would be invaluable.
Furthermore, I have heard from a colleague with a PhD in engineering that SSCI journals tend to be more rigorous in evaluating English compared to SCI journals. I am curious to know your perspective on the significance of English proficiency in the publishing process for SSCI journals.
Lastly, I find myself contemplating the ethical implications of utilizing tools such as CHAT GPT for proofreading my articles. I wonder if relying on such tools could be considered against research ethics and if it might serve as a useful resource to mitigate my current limitations in English.
I am truly grateful for your time and consideration. Your expertise and advice will undoubtedly contribute to my understanding of this process.
Thank you and best regards
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Ok
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Consider which primary audience you wish to engage with...
Any opinions?
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English
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Hi everyone.
As crude as this may sound, I really need a job. Its been far too long I've been trying various portals and methods including LinkedIn, Jobstreet, indeed, recruiters, conference networking etc etc etc. I have even been trying for postgrads for a year now, however I have lost interest as earning is my primary concern.
I have a GPA of 3.77 (first class honors), IELTS Band 8, have diverse skillsets, and can adapt to any assigned tasks and new environments.
I'm looking for anything related to healthcare biotechnology research, lab assistance or even scientific communication and exhibitions.
I am open to opportunities in Singapore as I am planning to visit by mid Jan 2024. Other locations of interest include the UK, Australia, New Zealand and Europe.
I would greatly appreciate any opportunities that members of our fellow science community may know.
Please refer to the attached CV for what I have accomplished thus far. Please feel free to contact me at [email protected] for further discussion as i am not too active on Researchgate.
In advance, I'd like to thank you for your willingness and assistance on the matter.
Regards,
Zahraa
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For whatever its worth, I have attached my updated CV below for those interested in giving me a chance.
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Dear connections and viewers,
Kindly support my search for a funded doctoral program. I welcome any helpful information and advice.
Research areas: Mental health, trauma, families, domestic violence, wellbeing, psychosocial health, substance abuse & addiction, counseling practice, special education (SEN), ageing, etc.
Overview: I am a mental health counselor, social worker, graduate lecturer, and researcher skilled in quantitative and qualitative research methods. I am proficient in SPSS, STATA, NVivo, 'R', fs/QCA, and Excel. My experience includes roles as a lecturer, mental health counselor, and currently, a social pedagogist, with over four years in various settings.
Qualifications: B.Ed (Hons) in Guidance and Counseling (Psychotherapy), 3.61/4.0. MSc (Hons) in Social Work, Distinction - 4.0/4.0. Advanced diplomas in Cognitive Behavioural Therapy, Psychological Research, Child Psychology, and Psychological Humanities and Narrative Medicine.
Available documents: CV, WES evaluation report, IELTS, transcripts, recommendation letters. LinkedIn: https://www.linkedin.com/in/oluwaseun-a-jegede/
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Hi not sure were you are, Bradford university in West Yorkshire have a very good social work phd running, they are teamed up with Bradford childrens trust and CAMHS.
good luck
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If I have an article originally published in Spanish, there is a way to publish an English version of it even if the original version has been published for some years.
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This is possible, but you need the permission of the copyright holder (e.g. the publisher of the original article). And you should also inform the new editors that this article was already published in Spanish. See also these discussions:
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📢 Call for Papers Announcement: New Asian Journal of Medicine (NAJM) - Volume 2, Issue 1, 2024 📚🔬
🌟 ISSN: 3005-8902
The New Asian Journal of Medicine (NAJM) is excited to invite researchers and clinicians to submit their groundbreaking work for our first issue of 2024. This marks our third serial issue since establishment, and we're proud to continue promoting impactful knowledge in medicine, medical science, and public health. 🌏💉
🎉 2024: A Year of Open Access and No Publication Charges! In our commitment to fostering global research collaborations and ensuring widespread accessibility of vital medical research, NAJM will operate as a fully open-access journal throughout 2024, without any publication charges. 🌐✨
🗓️ Submission Deadline: 15 Mars 2024
📩 For any queries or to submit your work, please reach out to our editorial office at [email protected]. We eagerly await your valuable contributions, which are instrumental in advancing medical knowledge and improving health outcomes worldwide. 💌👩‍🔬
👥 Tag a colleague or a researcher who might be interested! Let's collaborate to advance the frontiers of medical science.
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Great to see your post.
Thank You.
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Has anyone gone through the Wohler's report_2023 yet? Its pros and cons? What are the ways to obtain its e-copy? Its subscription is very costly for a normal researcher (around 750 USD per user). Any alternatives to get similar kind of data as that of the report?
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Thanks David A. Jones sir!!
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How could politicians and scientists better work together to address issues in our world? For example, can Researchgate provide opportunities for politicians to get involved in some sort of discussion forum for a specific issue to exchange information and ideas between researchers and politicians?
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Many thanks, Lemma Lessa for your points and contributions to this discussion!
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Philosophy is allowed on ResearchGate to uphold freedom of inquiry. And philosophy can lead to science:
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Alexander Ohnemus Philosophy is on ResearchGate because ResearchGate was founded by Germans. The German word "Wissenschaft", usually and often misleadingly translated as "Science" actually has a broader meaning which encompasses any systematic scholarly or scientific endeavor including arts and humanities, and yes, even theology.
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I am working with a time series dataset using the `fable` package (R). I have fitted several models (e.g., ARIMA) and generated forecasts. The accuracy calculation is resulting in NaN values, and the warning suggests incomplete out-of-sample data.
I am seeking guidance on how to handle this incomplete out-of-sample data issue and successfully calculate accuracy metrics for my time series forecasts. If anyone has encountered a similar problem or has expertise in time series analysis with R, your insights would be greatly appreciated.
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Dear Sachin. You should review every step in such a computation. For all those fcst evaluation criteria to produce NaN's, you should have NaN's generated in the fcst errors, which is really basic stuff.
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I will publish a book with Springer Nature on Sustainability and Artificial Intelligence. Please forward my CfP to anyone interested
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Dear Annika Bush , thank you for your proposal. I will prepare the abstract of my input to this book.
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What are the main determinants of obtaining a prestigious grant to fund an innovative and necessary for the development of civilization research project?
What are the main determinants of the possibility of obtaining a prestigious grant to fund an innovative research project, for certain reasons considered particularly important for humanity and necessary for the development of civilization?
Many researchers and scientists strive to obtain for the development of their research work and scientific activity financial support in the framework of grants and financial subsidies from institutions that support the conduct of research work carried out within the framework of colleges, universities and scientific institutes. it is often the case that the possibility of implementing major research projects and conducting scientific activity in the framework of new, developmental topics is determined by the ability to obtain funding for the research work carried out. In the situation of limited financial budgets of universities, scientific public institutions, limited finances within the system of public finances of the state, researchers and scientists look for sources of funding for their research projects in commercially functioning economic entities, companies and enterprises interested in developing specific scientific research and research work. In addition, researchers and scientists seek funding for their research work and scientific activities in foundations set up by non-governmental organizations established to support the development of scientific research within specific fields, scientific disciplines or topics on key problems of the development of civilization. However, among the particularly important sources of funding for specific research projects are financial grants allocated through competitions announced for the implementation of scientific research and research projects on defined scientific topics. In particular countries, regions of the world, in certain types of scientific institutions and research environments, there may be certain main factors determining the possibility of obtaining a prestigious grant to finance an innovative research project, for certain reasons considered particularly important for humanity and necessary for the development of civilization.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What are the main determinants of the possibility of obtaining a prestigious grant to finance an innovative research project that is, for specific reasons, considered particularly important for humanity and necessary for the development of civilization?
What are the main determinants of obtaining a prestigious grant to fund an innovative and necessary for the development of civilization research project?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Dear Prof. Prokopowicz!
I claim that the theme of a multinational research project must be relevant and has to have a global level of multidimensional system impact. For example, cybersecurity is a top priority in fighting criminal teams, specialists engaged in deploying uncertainty. I am developing a research project idea that could be relevant to the CEE - region including Poland and Hungary. The keywords are as follows: cyber resilience, humanitarian logistics & healthcare supply chains, cyber maturity index, and crisis management capabilities.
Hope we can discuss this idea of mine further and create a forum for the benefit of the EU: Poland, Hungary, etc.. I could introduce you to my mentor CEO, Editor-In-Chief Emeritus Dr. Kenneth David Strang. He is an easy to approach and a nice person to talk to. Please see hereby some resources I have collected so far:
1) Cybersecurity for Decision Makers, Edited By Narasimha Rao Vajjhala, Kenneth David Strang, Copyright 2023, http://kennethstrang.com/cyber/
2) Call for Papers: Special issue on Cybersecurity in Healthcare: https://link.springer.com/journal/10207/updates/25237774
3) Alqudhaibi, A., Krishna, A., Jagtap, S. et al. Cybersecurity 4.0: safeguarding trust and production in the digital food industry era. Discov Food 4, 2 (2024). https://doi.org/10.1007/s44187-023-00071-7, Open access:
4) CKM-2024: Cybersecurity in Knowledge Management: Cyberthreats and Solutions, Available at: https://easychair.org/cfp/ckm2024
Please feel free to address me with any further questions you consider appropriate!
Yours sincerely, Bulcsu Szekely
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Why was 2023 the warmest year in 130,000 years? Do you agree with the thesis, confirmed by the results of many scientific studies, that 2023 was the warmest year on record due to the accelerating process of global warming, still civilization's high greenhouse gas emissions and, in addition, the impact of the El Ninio phenomenon?
Why are the results of scientific studies confirming the thesis that it is the man-made combustion economy based on coal-fired power generation and the burning of other fossil fuels as well, that is the main source of greenhouse gas emissions, the accelerating process of global warming and the climate and environmental crisis worsening year after year, still being questioned by some representatives of the scientific world?
In Spain, in mid-December, wintertime temps on the Iberian Peninsula, Mediterranean coasts were recorded at around 30 degrees C, or temperatures that were once considered typically summer in Europe for many years are now occurring in winter. But this is just one of the last recorded numerous occurrences of record-high, historically highest levels of the planet's atmospheric temperature in 2023. Never before have such high, record-breaking atmospheric temperatures been recorded so often and in so many parts of the world during the summer heat and beyond.
That the companies and enterprises of the combustion, dirty energy sector, lobbyists and others acting on their behalf, for the interests, business of the companies and enterprises of the combustion energy sector is a matter of course. The driving force behind the development of business operating in the dirty combustion energy sector is dominated by selfishness, greed and lack of looking to the future, ignoring the future of the climate, the biosphere, the biodiversity of the planet's natural ecosystems and the future of future generations of people. Greed and selfishness, lack of social, climate and environmental responsibility, including ignoring the issue of responsibility for the future of the next generations of people, dominate. As early as the 1970s, some leading oil companies commissioned and financed scientific studies, or should we say pseudo-scientific studies with a predetermined informal result of these pseudo-studies on climate change and the role of human activity in these changes with a predetermined confirmation of the thesis that it is not the burning of fossil fuels that is responsible for the progressive warming of the climate. Through these actions, humanity has lost half a century of time. If a few decades ago the companies of the fossil fuel extraction and energy sector had not covered up the actual results of the studies carried out, if they had not swept the problem of global warming under the rug, if they had not financed fictitious studies that had the predetermined goal of questioning the role of fossil fuel combustion as the main factor generating the process of global warming, then the process of green transformation of the economy, including the green transformation of the energy sector, reducing greenhouse gas emissions, counteracting and reducing the scale of the greenhouse effect could have been started half a century earlier. Half a century of time is precisely the time that will be sorely lacking in the 21st century, because the process of global warming is accelerating and what has been done so far in terms of the green transformation of the economy, including the green transformation of the energy sector is still far from sufficient. For wasting half a century of time on this issue, humanity owes it to the deliberately unethical, anti-social, anti-climate and anti-environmental activities of companies and enterprises operating in the fossil fuel extraction, processing and combustion sector. It is these companies and enterprises that bear the main responsibility for the lost time of the mid-century. Time that is now in short supply. Time that may be missing to prevent the critical level of the amount of CO2 and other greenhouse gases emitted into the planet's atmosphere from occurring in a few years or so, after which the process of global warming will further accelerate and enter a path of irreversible process which may then inevitably lead to the occurrence of a global climate catastrophe already in the second half of the 21st century. The result of this catastrophe will be a much greater degradation of the climate, biosphere and biodiversity of the planet's natural ecosystems to a much greater extent than has occurred to date. This will lead to most land areas experiencing permanent heat, droughts, forest fires, tornadoes, violent storms. The climate and nature will be destroyed to such an extent that there will be no living conditions for humans in most land areas of the planet. For all this, the full responsibility lies mainly with the companies and enterprises that continue to extract, process and burn fossil fuels and have knowingly for at least half a century, since the 1970s or even before, knowingly misled the public by claiming that humans are not responsible for global warming despite the fact that they themselves knew that this was not true, that it is their activities that are generating high greenhouse gas emissions to a key degree, which results in the planet's greenhouse effect and the global warming process proceeding ever faster.
Unfortunately, it is still the case that not only in the business community, but also in the political and scientific community, there are still a few representatives of the position of questioning the results of many scientific studies confirming the thesis that it is the man-built combustion economy that is the main source of the accelerating process of global warming and the growing risk of a global climate and environmental catastrophe in the perspective of the next few decades. In fact, this is an obvious point, and the question should be: Why is this still being questioned?
In view of the above, 2023 was the warmest year in 130,000 years. It was another year in a row with historically high temperatures of the planet's atmosphere recorded in various parts of the world during the summer and non-summer recurrent seasons. Researchers and scientists operating in various parts of the world, on the basis of their research work, conclude that it is the civilizational activity of humans within the framework of the development of the combustion emission economy that is the source of climate change, the working greenhouse effect, the accelerating process of global warming and the ever-increasing risk of a global climate catastrophe in the current 21st century. In 2023-2024, the cyclical El Ninio effect is also an additional factor in the increase in the average temperature of the planet's atmosphere. If you disagree with the above thesis, with which about 99 percent of researchers and scientists around the world agree, then give your scientific arguments.
A lot of data on the planet's climate, including the results of studies of long-term climate change indicate that the current year 2024 will also be another year of record high temperatures of the planet's atmosphere and the scale of weather anomalies and climate disasters may increase again.
I am conducting research on this issue. I have described the key aspects of the above issue in the article: IMPLEMENTATION OF THE PRINCIPLES OF SUSTAINABLE ECONOMY DEVELOPMENT AS A KEY ELEMENT OF THE PRO-ECOLOGICAL TRANSFORMATION OF THE ECONOMY TOWARDS GREEN ECONOMY AND CIRCULAR ECONOMY
I invite you to scientific cooperation in this problematic,
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Why was 2023 the warmest year in 130,000 years? Do you agree with the thesis, confirmed by the results of many scientific studies, that 2023 was the warmest year on record due to the accelerating process of global warming, still civilization's high greenhouse gas emissions and, in addition, the impact of the El Ninio phenomenon?
Why are the results of scientific studies confirming the thesis that it is the man-made combustion economy based on coal-fired power generation and the burning of other fossil fuels as well, that is the main source of greenhouse gas emissions, the accelerating process of global warming and the climate and environmental crisis that is worsening every year, still being questioned by some representatives of the scientific world?
Why was 2023 the warmest year in 130,000 years? Why are there still people who question scientific findings?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
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Dear Prof. Prokopowicz!
You made a crucial point - how to convince people about the negative effects related to climate change:'
1) Ettinger, J., McGivern, A., Spiegel, M.P. et al. Breaking the climate spiral of silence: lessons from a COP26 climate conversations campaign. Climatic Change 176, 22 (2023). https://doi.org/10.1007/s10584-023-03493-5, Open access:
2) Falkenberg, M., Galeazzi, A., Torricelli, M. et al. Growing polarization around climate change on social media. Nat. Clim. Chang. 12, 1114–1121 (2022). https://doi.org/10.1038/s41558-022-01527-x, Open access: https://www.nature.com/articles/s41558-022-01527-x
3) Andreotta, M., Boschetti, F., Farrell, S. et al. Evidence for three distinct climate change audience segments with varying belief-updating tendencies: implications for climate change communication. Climatic Change 174, 32 (2022). https://doi.org/10.1007/s10584-022-03437-5, Open access:
Yours sincerely, Bulcsu Szekely
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In your opinion, are so-called "carbon credits" consisting of some corporation taking a specific patch of natural forest cover, including, for example, a patch of natural Amazon Rainforest, for an additional ton of CO2 emissions, an effective instrument for real reduction of CO2 emissions into the atmosphere?
To consider the question of the role of so-called "carbon credits" in the context of reducing greenhouse gas emissions, one would have to assume that such a system actually reliably works. However, from what is reported by independent journalists, environmentalists, people who care about protecting the climate, biosphere and biodiversity of the planet's natural ecosystems, including the forests of the Amazon, even those declared patches of natural Amazon Rainforest taken for protection under the so-called carbon credits are nevertheless often cut down.
Perhaps something will finally begin to change, to improve, in terms of protecting the climate, biosphere and biodiversity of the natural ecosystems of the Amazon Rainforest in connection with the first Amazon Forest Conservation Summit in 14 years, currently being held in Belém, Brazil. Deforestation in the Brazilian Amazon fell by 60 percent in July compared to the same month last year. The announcement of the positive trend coincides with the start of a summit in Belém of the 8 countries whose territories include the Amazon forest. This summit is attended by representatives of the governments of the 8 countries whose territory includes the natural Amazon Forest. Perhaps plans and commitments will be made to realistically protect this largest terrestrial reservoir of natural biodiversity and natural forests characterized by a particularly high contribution to absorbing CO2 from the atmosphere and producing oxygen. It may also be that the processes of increasing the scale of protection of these forests and reducing their still large-scale logging will be accelerated so that by 2030 at the latest, the deforestation of these forests will be completely ended. This is a particularly important issue because more than 20 percent of the Amazon rainforest has already disappeared due to human activity.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, are the so-called carbon credits, which consist in the fact that some corporation, for an additional ton of CO2 emissions, will take under protection a certain patch of natural forest cover, including, for example, a patch of natural Amazon Rainforest, an effective instrument for real reduction of CO2 emissions into the atmosphere?
Are so-called carbon credits an effective instrument to realistically reduce CO2 emissions into the atmosphere?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
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The description of Complex Multivariable Dynamic Systems using Two-by-Two (or more) Isolate Parameters' Correlations can only be Incomplete; so that it can't produce irrefutable scientific assertions. In this regard, The well-known (1535 citations) old paper [1] by Trenberth (1990) shows that climate analyses can be compromised by measurement, data coverage, or analysis uncertainties. One may read within the text "...Most presentations of climate change focus on the surface variables of importance to man, in particular temperature and precipitation. But in order to understand why the changes occur the way they do, it is essential to consider the atmospheric dynamics, as well as the local physical processes operating to induce change. The atmospheric circulation forms the main link between regional changes in wind, temperature, precipitation, and other climatic variables, and there is likely to be a reasonably strong relationship between these even on monthly or longer time scales. Physical and dynamical consistency between changes of several climate variables can add confidence to results for a single variable which might otherwise be compromised by measurement, data coverage, or analysis uncertainties..."
[1] Trenberth, K. E. (1990). Recent observed interdecadal climate changes in the Northern Hemisphere. Bulletin of the American Meteorological Society, 71(7), 988-993.
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In my opinion, scientific research is the most important source of emerging innovations, new technological solutions and improvements in production processes that contribute to civilization development and technological progress, and also constitute an important source of added value of production processes in the economies of developed countries in knowledge-based economies. In the future, research should play a particularly important role in knowledge-based economies. For example, research should generate innovative ecological and new renewable energy solutions in the future to reduce adverse climate change resulting from a progressive global warming process.
In view of the above, I would like to ask you: Can research be considered as the most important factor generating technological value added in knowledge-based economies?
Please, answer, comments. I invite you to the discussion.
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Can research be considered as the most important factor generating technological value added in knowledge-based economies? Yes, I think so.
Kind regards and Happy New Year.
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Websites or online resources dedicated to providing comprehensive details on clinical-based research are crucial for developing novel studies and should be identified
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Certainly, there are several reputable websites and online resources dedicated to providing comprehensive details on clinical-based research. Here are some notable websites:
PubMed Central (PMC), ClinicalTrials.gov, Cochrane Library, Cochrane Library, The NIH website, UpToDate, European Medicines Agency (EMA), American College of Physicians (ACP), JAMA Network, BMJ (British Medical Journal), The WHO International Clinical Trials Registry Platform (ICTRP), among others.
Remember to critically evaluate the sources and consider the context and methodology of the studies you find on these platforms. Always consult with peers and experts in the field to ensure the validity and relevance of the information you gather.
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Hello RG Family! In my transition to qualitative research, I’m confronted with the challenge of validating qualitative interviews.
From my knowledge of quantitative research, I’m well aware that Principal Component Analysis and Cronbach’s Alpha methods are popular for validity and reliability of Likert-scaled questionnaires. But in the case of qualitative interviews, the arena is different. That’s why I need your help.
From your wealth of experience with qualitative research, please describe the most effective methods for carrying out validity and reliability of qualitative interviews. And which software is suitable for this procedure?
Your contributions will be immensely appreciated. Thank you.
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In quantitative research, reliability and validity apply to concerns about measurement, but in qualitative research we do not measure anything, so reliability and validity are not nearly as relevant. Indeed, many qualitative researchers refuse to accept this terminology and you may find yourself in trouble with reviewers if you do use it.
The basic reasoning behind this is that qualitative research is inherently subjective and interpretive, so there is no reason to expect another researcher to come to the same conclusions. Commonly used alternatives (especially to validity) are trustworthiness and credibility.
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What role in the development of scientific cooperation is the application of ethics, culture and respect towards other people, other cultures, other value systems, etc.?
What role does the application of ethics, culture and respect towards other people, other cultures, other value systems, etc. play in the development of scientific cooperation, including the conduct of interdisciplinary research projects, scientific cooperation within the framework of international teams of researchers and scientists, within the framework of ongoing discussions on the discussion forum of this Research Gate portal?
Dear Researchers and Scientists, Friends and Colleagues,
In my opinion, answering the above question, I state that the role of applying the principles of ethics, culture and respect towards other people, other cultures, other value systems, etc. in the development of scientific cooperation, including the conduct of interdisciplinary research projects, scientific cooperation within the framework of international teams of researchers and scientists, within the framework of the ongoing discussions on the discussion forum of this Research Gate portal. Do you agree with me?
In the discussion forum of this Research Gate portal, in order to inspire discussion on various research topics, I have formulated many questions and theses.
I am glad that many of these questions turned out to inspire discussions involving many researchers, scientists, experts in a particular field, people who conduct scientific research on a particular issue, people who publish in their scientific publications the results of their research, people who are interested in a particular issue taken up in the mentioned questions posted on the discussion forum of this Research Gate portal.
I am glad that the questions posed on this discussion forum of the Research Gate portal have proved to be an inspiration for interesting discussions, in which noble researchers and scientists participate. In the course of these discussions, which sometimes take on the character of brainstorming, exchange of ideas, new inspirations for further research topics emerge, new research concepts are formed, proposals for new topics for theses are made, etc. Within the framework of the discussions held, researchers and scientists exchange their experiences of their scientific research, present their research results, inspire scientific cooperation, point out other new insights on certain issues. Thanks to this, there are inspirations for new research directions, for undertaking scientific cooperation in various topics and also for interdisciplinary research teams, etc. This is the key purpose of this discussion forum of the Research Gate portal.
However, I am very saddened when the participating researchers and scientists in the framework of the discussions held, instead of a desire for understanding, understanding, respect towards other people, the participants in the discussions representing other scientific communities, other cultures, other countries instead of respect and culture generate negative emotions, instead of substantive arguments in support of their theses turn to other Persons with invectives and negative expressions, i.e. act contrary to the principles of ethics and the basics of culture, ignoring the principles of ethics of research and science, also ignoring the principles of ethics of this discussion forum. So I very much ask you to follow the rules of culture and respect other people participating in discussions. This is important because aggression generates aggression and respect generates respect. Hopefully, looking to the future, I believe that those fortunately mentioned above situations of negative nature were few and in the future there will be none, and that on the discussion forum of the Research Gate portal, everyone participating in discussions will apply respect to other people, participants in discussions and also regardless of whether other participants in discussions represent other scientific communities, other cultures, other countries and so on.
Faced with the development of various global problems, in trying to solve these problems we should all look for what unites us and not what divides us. This is the key to the development of our scientific cooperation and also to jointly solve various global problems.
Therefore, in the situation of participating in discussions on this Research Gate portal, I therefore very much ask you to apply the principles of ethics, culture and respect for others.
And what is your opinion on this topic?
Please feel free to respond,
I invite everyone to join the discussion,
Thank you very much,
I encourage you to participate in discussions on this discussion forum on various topics,
Thank you,
I extend my warmest greetings to all participants in the discussions on the Research Gate portal,
Dariusz Prokopowicz
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Dear Researchers, Scientists, Friends,
In the New Year 2024, I wish you the development of good scientific cooperation, so that the research work carried out will be carried out more efficiently and the results of the research carried out will contribute to solving various important problems for society. I wish you every success, only pleasant surprises, fulfillment of dreams and plans in your personal life, professional life, scientific work and in all areas of activity.
wishes
Dariusz Prokopowicz
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Dear Geosciences Community,
I am interested in starting a discussion on a topic that has been on my mind lately. I have come across many papers where the coordinates of the samples are not provided. This has made me wonder: Should the coordinates of the samples be mandatory to publish a paper in our field?
From my perspective, the inclusion of sample coordinates is essential for ensuring the credibility of our research and allowing other scientists to re-evaluate the results obtained. This is especially true for new discoveries, where having access to the sample locations can help confirm the validity of the findings.
However, I have been unable to understand why some papers do not provide sample coordinates. Is it because they are considered confidential information or are there other reasons for this omission?
I would appreciate hearing your thoughts and opinions on this matter. Do you believe that sample coordinates should be mandatory for publication in the geosciences? If not, what are your reasons for this? And if so, how can we encourage more researchers to include this information in their papers?
I look forward to a productive discussion on this topic.
Best regards,
Mehdi
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You got very good answers to your question from: Ajit Singh , Andreas Paul , F. O. Balogun and Siraj Beyan Mohamed ,
All of them are valuable, even if some of them differ slightly from the subject of the discussion.
F. O. Balogun 's next observation is very good:
'As much as sample coordinates are important in research and in other academic publications, it is not out of place to make samples private and confidential due to company data privacy terms.'
Personally, I would not provide the coordinates in case the samples have economic significance. You can benefit from it at any time. It is certain that this information must be collected in a booklet.
Not worth storing on a computer, because hackers will steal it.
Thank you very much for reading my article:
Regards,
Laszlo
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What is the most important thing for the development of good scientific cooperation in terms of, among other things, conducting exchanges on scientific research, joint team research, joint team publication of scientific research results, etc.?
Scientific cooperation can develop on the scale of specific scientific and research institutions, scientific and teaching institutions, research and development centers, research and implementation laboratories, educational institutions, research centers and laboratories of companies and enterprises, government agencies dealing with science and scientific research, local government institutions and non-governmental organizations whose activities are based on the results of scientific research, and so on. Scientific cooperation can develop on a national and/or international scale. Scientific cooperation can develop in one or more scientific disciplines, i.e., interdisciplinary. Scientific cooperation may develop, among other things, in terms of conducting exchanges of experience in scientific research, joint team research, joint team publication of scientific research results, etc. Online indexing databases of scientific institutions, indexing of scientific publications, indexing of scientific persons, researchers and scientists, etc. can be helpful in establishing scientific cooperation. Besides, Internet portals that enable remote through the Internet to exchange scientific experiences, discuss scientific topics, etc. can also be helpful in developing scientific cooperation. An example of this kind of scientific portal is this Research Gate portal, where we can hold discussions on scientific topics, ask questions and answer questions in the discussion forum. In this way, new scientific cooperation can also be initiated, which I hereby encourage.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What is the most important thing for the development of good scientific cooperation in terms of, among other things, conducting exchanges of experience in scientific research, joint team research, joint team publication of scientific research results, etc.?
What is the most important thing for good scientific cooperation to develop?
And what is your opinion about it?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Dear Researchers, Scientists, Friends,
In the New Year 2024, I wish you the development of good scientific cooperation realized on an institutional, national and international scale. May the development of scientific cooperation contribute to the solution of global problems of the development of civilization.
wishes
Dariusz Prokopowicz
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How does the cooperation of colleges and universities with commercially functioning economic entities, including companies and businesses, contribute to increasing innovation in the economy?
Colleges and universities, as part of their teaching and research activities, research work carried out, adaptation of curricula to the changing realities of the modern economy, support for students in terms of cooperation with potential employers, institutions that may be the subject of written theses, support for the development of innovative startups founded by students, performance of research and analytical commissioned work, establishment of cooperation clusters, development of reports on the development of selected spheres, branches, problems of the modern economy, civilization, etc., undertake cooperation with various economic entities and public institutions. Such developed cooperation between universities and other entities, enterprises, companies, financial institutions and public institutions, cultural institutions, etc., can significantly contribute to increasing innovation in the economy. A key issue is to involve students in the development of such cooperation. Improving the aforementioned cooperation can and should result in better adaptation of the research work carried out at universities to the increasingly rapidly changing trends in the economy. The implementation of new ICT, Internet and Industry 4.0/5.0 information technologies, including generative artificial intelligence technology into universities should foster the development of such cooperation.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How does the cooperation of colleges and universities with commercially functioning economic entities, including companies and enterprises, contribute to increasing innovation in the economy?
How does the cooperation of universities with business entities contribute to increasing innovation in the economy?
And what is your opinion about it?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research. In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Dear Researchers, Scientists, Friends,
In the New Year 2024, I wish you every success in your scientific work, scientific and research work, scientific and teaching work, etc. May good scientific cooperation develop between universities, colleges, schools, scientific institutes, research and development centers, scientific research centers, innovation and entrepreneurship incubators, research laboratories of companies and enterprises, public institutions and other institutions.
wishes
Dariusz Prokopowicz
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What is important in building international research teams?
On what foundations should long-term scientific cooperation between scientists be developed?
Please reply
Best wishes
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Dear Researchers, Scientists, Friends,
In the New Year 2024, I wish you to fulfill your scientific plans, to achieve exceptional success in your scientific research, to publish very good scientific publications in interesting research topics, to develop good scientific cooperation, to develop joint team research projects, to cooperate well in research teams, in jointly conducting scientific research and publishing the results of the conducted scientific research.
All the best,
wishes
Dariusz Prokopowicz
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  • shouldn't they deny reviewing it?
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thank you Goodluck Azuonwu Ali Kamrani for the kind information.
It was single-blind as the reviewer saw my name and acknowledged that they had it.
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It is not easy to justify that making traditional economic thinking circular is a win-win economy and environment move as then you would need to use ALTERNATIVE ACADEMIC FACTS, and perhaps that may be the reason I see researchers in Researchgate pushing or promoting this idea, but I have not seen it yet in ACADEMIA.
And this raises the question, Is circular economic thinking currently a purely European/researchgate phenomenon?
Do you see the same thing? What do you think?
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Petrus, yes I have seen some articles based on China, some african countries, and some latin american countries, but only in researchgate so far.
Since 1987 WCED report we have been trying to solve the social and/environmental sustainability problems associated with business as usual, then linear or with circularity by externality neutrality assumptions, if the commission would have thought that going circular was the solution to those social and/or environmental sustainability problems they would have recommended ECONOMIC CIRCULARITY, instead they reccommended SUSTAINABLE DEVELOPMENT to leave traditional market thinking behind once and for all....
Linear markets and circular markets, both have pricing mechanism that only account for the economic cost at profit, and hence, they externalize other costs, which the WCED 1987 documented as socially and/or environmentally unfriendly thinking.
Petrus, think about, can the solution to a sustainability problem(eg the environmental pollution problem) created by a linear root-cause be to make the root-cause circular? You may be able to see that we still have a pollution production problem as both the linear market and the circular market are both pollution production markets as both are based on distorted market prices(socially and/or environmentally),
Thank Petrus, for commenting
Respectfully yours
Lucio
how can the root cause of a sustainability problem be the solution to the problem it creates just by making the root cause circular and without correcting distorted market prices?
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Are you interested in a Community for senior researchers for Project, Program, Portfolio Management topics?
In line with the changing university strategic directions you may face with the following phenomenon that the importance of the high quality publications (Q1, Q2) and the University service (PhD supervision, being member of PhD different communities, organizing conferences or tracks) got a growing significance during our carrier path. These needs called this community into existence.
Minimum entry criteria to join this community is to be a researcher with PhD.
Your interest can be expressed by commenting under this discussion section or direct message me on RG.
Let's expand this community here!
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As project portfolio mgmt professional with a PhD and strong research interest, I’d be happy to join.
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I ran a experiment in design expert and obtained three identical runs which seems weird. Checked few papers and they have three identical runs too and are published. Whats the reason behind this?
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Selvaraju Sivamani I have 3 factors: If I use 1 central point I'm getting 0 repetitions of the same runs (total 13 runs). Can I use this method for my experiment?
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Why are the commitments made by governments and corporations at the UN COP Climate Summits not being implemented?
Why are the pledges made by governments and corporations at the UN COP Climate Summits to accelerate the processes of green transformation of the economy not being implemented or only marginally implemented?
The 28th UN Climate Conference (COP 28) will be held in Dubai, United Arab Emirates, from November 30 to December 12, 2023. In view of the fact that 2023 was the warmest year in 125,000 years, so the question is increasingly topical: Why are the pledges made by governments and corporations at the UN COP Climate Summits to accelerate the processes of green transformation of the economy not being implemented or only marginally implemented? The COP28 Climate Summit once again points to the need to raise funds to help economically underdeveloped countries and those particularly burdened by the negative effects of the accelerating process of global warming to finance pro-environmental and pro-climate economic ventures, create solutions to reduce the aforementioned negative effects of climate change, and prevent the development of these negative effects, including but not limited to building power plants based on renewable and zero-emission energy sources, building additional irrigation systems, desalinating seawater, developing climate-resilient construction, developing sustainable agriculture adequately protected against increasingly frequent and severe periods of drought, counteracting the progressive process of soil aridity, stopping the progressive process of deforestation of tropical rainforests, and so on. In addition, once again, as at previous UN COP climate conferences, the same demands were made, including, among others, that there should be no more support for fossil fuels, as unfortunately these subsidies are still in place. In addition, that the continuing processes of forest deforestation should be replaced with aforestation, among other things, in industrially degraded areas, that the rapid decline in the biodiversity of the planet's natural ecosystems should be halted, that expansive industrial agriculture should be replaced with sustainable organic farming, that waste generation should be reduced and closed-loop economics should be developed, and so on. However, at the current UN Climate Conference COP28, strongly controversial issues have emerged, which may suggest that the issue of urgently accelerating the green transformation of the economy is still not taken seriously by some countries. Well, the UN Climate Conference COP28 will be chaired by a board member of one of the world's largest oil companies. The hosts of this year's COP28 Climate Conference, the Saudis want to promote technologies to capture CO2 from the atmosphere and do not want to reduce oil production. Unfortunately, this way the climate crisis will not be solved. This issue evidently confirms the thesis that countries that have developed large-scale fossil fuel extraction and/or processing industries are not interested in seriously, efficiently and quickly implementing the green transformation of the economy.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Why are the pledges made by governments and corporations at the UN COP Climate Summits to accelerate the processes of green transformation of the economy not being implemented or only marginally implemented?
Why are the commitments made by governments and corporations at the UN COP Climate Summits not being implemented?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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The UN COP climate summits have been instrumental in bringing together governments and corporations from around the world to address the urgent need for a green transformation of the economy. However, it is disheartening to witness the lack of implementation or only marginal implementation of commitments made by these entities. I will explore the reasons behind this failure and present an assertive opinion on this critical issue.
One primary reason for the failure to implement pledges made at UN COP climate summits is the lack of political will. Governments often prioritize short-term economic gains over long-term sustainability goals. The pressure exerted by powerful interest groups, such as fossil fuel industries, can significantly influence policy decisions, hindering progress towards a greener economy.
Furthermore, corporations may make commitments during these summits as a public relations exercise rather than genuine efforts towards sustainable practices. Greenwashing tactics are prevalent, where companies create an illusion of environmental responsibility without substantial action. This approach allows them to maintain their profit-driven agenda while appearing environmentally conscious.
Another significant obstacle is the absence of binding agreements or enforceable mechanisms within international climate negotiations. While governments and corporations may pledge ambitious targets during these summits, there is no legal obligation to fulfill them. This lack of accountability undermines any real progress that could be achieved through these commitments.
Moreover, financial constraints often impede implementation efforts. Transitioning towards a green economy requires substantial investments in renewable energy infrastructure, research and development, and sustainable practices across various sectors. Governments may face budgetary limitations or prioritize other pressing issues over environmental concerns.
In my opinion, addressing this issue requires a multi-faceted approach involving stricter regulations and enforcement mechanisms at both national and international levels. Governments must prioritize sustainability over short-term economic gains by implementing policies that incentivize green practices while penalizing non-compliance.
Additionally, corporations need to be held accountable for their commitments through transparent reporting and independent audits. Governments should consider imposing stricter regulations on corporate environmental practices, ensuring that greenwashing is penalized and genuine efforts are rewarded.
In conclusion, the failure to implement pledges made by governments and corporations at UN COP climate summits stems from a lack of political will, greenwashing tactics, absence of binding agreements, and financial constraints. To address this issue effectively, it is crucial to establish enforceable mechanisms, prioritize sustainability over short-term gains, and hold both governments and corporations accountable for their commitments. Only then can we hope to achieve the necessary green transformation of our economy to combat climate change effectively.
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I had Many papers with citation in Google scholar that not appear in RG and vice versa.
Can anyone help to add the citations?
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RG does not include self citations
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Several weeks ago, I encountered a job offer on ResearchGate from Press Publish(https://www.researchgate.net/job/1003479_Psychology_Psychiatry_Article_ReviewerProject_ContractPart-time). I urge extreme caution; based on information I've gathered from individuals who've been 'hired,' Press Publish (https://www.researchgate.net/institution/PressPublish; https://presspublish.co.uk/) raises significant concerns about their employment contracts, workload expectations, and adherence to payment agreements.
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It looks like a somewhat mixed picture. If you look at another advertisement https://www.researchgate.net/job/1003478_Food_science_Article_writer_Project_ContractPart-time they refer to an example of an article written by one of their employees https://justusfoodies.com/is-it-safe-to-eat-bacon-after-the-use-by-date/ This person seems to be a real person and a member of RG:
On the other hand their (physical) address 10 Clydesdale Street, Hamilton, Lanarkshire, ML3 0DP (https://find-and-update.company-information.service.gov.uk/company/SC258724 ) renders a somewhat dubious location.
So, I think the company is legit, but the business is rather small. At max. it might be interesting as a (small) job ‘aside’.
Best regards.
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How can the development of artificial intelligence technologies and applications help the development of science, the conduct of scientific research, the processing of results obtained from scientific research?
In recent discussions on the ongoing rapid development of artificial intelligence technologies, including generative artificial intelligence and general artificial intelligence, and their rapidly growing applications, a number of both positive determinants of this development are emerging but also a number of potential risks and threats are being identified. Recently, the key risks associated with the development of artificial intelligence technologies include not only the possibility of using AI technologies by cyber criminals and in hacking activities; the use of open-access tools based on generative artificial intelligence on the Internet to create crafted texts, photos, graphics and videos and their posting on social media sites to create fake news and generate disinformation; the use of "creations" created with applications based on intelligent chatbots in the field of marketing communications; the potential threat to many jobs being replaced by AI technology but also in the development of increasingly superior generative artificial intelligence technology, which may soon be creating new, even more superior AI technologies that could escape human control. Currently, all leading technology and Internet companies are developing their intelligent chatbots and AI-based tools, including generative AI and/or general AI, which they are already making available on the Internet or will soon do so. In this way, a kind of technological arms race is currently being realized between major technology companies at the forefront of ICT, Internet and Industry 4.0/5.0 information technologies. The technological progress that is currently taking place is accelerating as part of the transition from Industry 4.0 to Industry 5.0 technologies. In the context of the emerging threats mentioned above, many companies, enterprises, banks are already implementing and developing certain tools, applications based on AI in order to increase the efficiency of certain processes carried out within the framework of their business, logistics, financial activities, etc. In addition, in the ongoing discussions on the possibility of applying AI technologies in aspects interpreted positively, in solving various problems of the current development of civilization, including to support ongoing scientific research, to support the development of science in various disciplines of science. Accordingly, an important area of positive applications of AI technology is the use of this technology to improve the efficiency of reliably and ethically conducted scientific research. Thus, the development of science could be supported by the implementation of AI technology into the realm of science.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How can the development of artificial intelligence technologies and applications help the development of science, the conduct of scientific research, the processing of results obtained from scientific research?
How can the development of artificial intelligence help the development of science and scientific research?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research. In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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The current AI helps to retrieve the best results from the currently available human knowledge.
in the future, AI will create knowledge from data collected using instruments like LC-MSMS and images of ultrasound and CT.
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I decided to write an essay exploring a particular topic. I aim to discuss the evolution of this subject through various philosophical and contemporary psychological perspectives. The essay will serve as a brief summary and history, supplemented by my own arguments.
I would appreciate suggestions from fellow members of ResearchGate. I wonder if it's feasible to cover such a vast topic in one article, considering that it could easily fill a whole book (not by me, of course). Therefore, my question is whether it is realistic to encompass all of that in a single essay of approximately 10,000 words, which would be around 34 pages.
Thank You!
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In APA style, there isn't a specific word limit for essays; instead, the length should be appropriate for the topic and depth of analysis required. For an essay covering the evolution of a topic through philosophical and psychological perspectives, with a summary, history, and personal arguments, the length could vary. It's essential to cover the subject comprehensively yet concisely. Aim for clarity and depth without unnecessary verbosity.
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I am working on a research project involving a system of differential equations with one ordinary differential equation (ODE) and two partial differential equations (PDEs).
I would like to discuss methods and approaches for solving this system efficiently using Numerical method and Machine Learning.
Can you recommend Python/Matlab code for using numerical techniques and ML
Any guidance or references would be greatly appreciated.
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That's a good question. I rarely do that so not at answering this but you can find some nice tutorials for that from experts in this field.
Tutorials:
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Dear all
Our new article "About Probiotics" is ready for final submission after two peer reviews. However, the reviewer and editor recommend minor grammatical corrections in MS either by a native English speaker colleague or to avail paid online grammar editing service. We do not have sufficient funds to bear the cost, nor do a native speaker, what should we do in this case, the MS has already taken more than 6 months, please suggest.
Thanks a lot for your attention. Have a great day.
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I suggest you to read thoroughly and do it by yourself, or you can ask for help to one whom u have known involve in scientific writing (not necessarily a NES). In my case i did myself when the editor ask for the same..
You can drop me a mail if u need further help at [email protected]
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I have a netCDF4 (.nc) file having ocean SST data, with coordinates (lat, lon, time). I want to predict and plot maps for the future. How can I do this using python?
Please recommend a python code for time series forecasting based on this approach.
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This is not a programming question. It's a time-series question. Imagine measuring temperature in your back yard every hour for a day. You could use that to make predictions, but they might not be very useful, because weather changes from day to day. So, you need more than a day. Maybe you measure for 3 days. That would be better. But maybe those were 3 warm days, which are followed by 3 cool days. Etc.
Depending on your background, you might start by reading books on time-series analysis. Then move on to books about ocean physics. And then climate physics. You will soon see that statistical prediction is a weak approach, and that dynamical models are required. That takes you from the domain of reading and plotting with python to the domain of building PhD-level scientific and computing skills. The latter go way beyond plotting with python; you'll need to deploy supercomputers to run models that were took many person-decades to develop and take person-years to learn to run. Oh, and the end result will be a model prediction that will not agree with other model predictions to within the error bars we want for climate prediction.
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I have a monthly netCDF4 file containing chlorophyll-a values, and I aim to forecast these values using time series analysis.
My approach involves computing monthly spatial averages for this entire region and then forecasting these averages. Is this methodology valid?
Additionally, could you recommend a Python code for time series forecasting based on this approach?
Is it feasible to predict values for individual grid points without considering spatial averaging?
My study area encompasses an oceanic region of approximately 45,000 sq km near the southern coast of Sri Lanka.
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Forecasting the quantity of chlorophyll-a based on time series (historical data) is not considered scientifically reliable due to the variable nature of chlorophyll-a, as it serves as the sole reference source for predicting the past behavior of the study area. Instead, it is recommended to estimate the amount of chlorophyll-a based on the variability of SST and SSS. To initiate this process, it is appropriate to utilize the simple mlp artificial network algorithm, which can be tailored to suit your specific requirements. Please refer to this article for further information: https://doi.org/10.1016/j.jenvman.2022.115636
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What are the exact difference between research methods and research methodology?
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I would differentiate this way. Research methods are the different approaches one might use to a study a phenomena whereas research methodology is the study of research methods! In general, "ology" means "the study of." I hope this is helpful!
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A key point to succeed in a research career seems to be the ability to develop and nourrish strong and meaningful research collaborations.
From your experience, what practical or more general advice would you give to young researchers at the beginning of their careers in this regard?
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Find someone more expert than you in a subfield in yiurvdiscioline and develop some of his ideas in ways that you save him from at least 100 hours work
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Avoiding the shift from perfect traditional market thinking to perfect green market thinking since 2012 RIO +20 has created a deep green market paradigm shift knowledge gap.
Flipping perfect traditional market thinking to imperfect dwarf green market thinking since 2012 to avoid the shift to perfect green markets has created a deep dwarf green market paradigm flip knowledge gap too.
These knowledge gaps are apparently helping those researchers and institutions implementing development under permanent environmental market failure as well as confusing environmental stakeholders on proper place for action and protest as the responsibility of governments, of businesses and of consumers are changed, and even inversed depending on the market in question.
And this raises the question, green market paradigm shift knowledge gaps and dwarf green market paradigm flip knowledge gaps, are they academic tunneling/willful blindness push helpers?
What do you think?
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The concepts of "Green Market Paradigm Shift Knowledge Gaps" and "Dwarf Green Market Paradigm Flip Knowledge Gaps" represent critical areas of concern in the context of environmental sustainability and market dynamics. These knowledge gaps signify the disparities in our understanding of the evolving green economy and the challenges it presents.
The "Green Market Paradigm Shift Knowledge Gaps" pertain to the lack of comprehensive insights into the transformative changes occurring in the global economy as it increasingly shifts towards sustainability, eco-friendliness, and renewable resources. Addressing these gaps is crucial for policymakers, businesses, and researchers to harness the potential of this green transition effectively.
On the other hand, "Dwarf Green Market Paradigm Flip Knowledge Gaps" refer to the often overlooked or underestimated aspects within this shift, which could have significant impacts if ignored. They signify a potential blind spot in academia and policymaking, which, if not recognized, might hinder progress toward a truly sustainable global economy.
Both these knowledge gaps underscore the importance of robust research and comprehensive understanding in shaping a more sustainable and environmentally responsible future, ensuring that we do not inadvertently hinder our progress by neglecting critical aspects of the green market paradigm shift.
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Suppose a person has a very different perspective about an almost established scientific facts, and he still want to move ahead with establishing/sharing his perspective so what are the methods at his disposal?
One thing to note here is that the perspective have no support of existing literature nor of any lab observations.
Thanks
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Hypothesis?
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What is the difference between optimization and standardization in research? What difference does validation have from others?
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This link
may shed some light.
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Hi,
What are the main guidelines, could you give for a new researcher who is going to make a research proposal?
Thank you.
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COMEÇO, MEIO E FIM. INTRODUÇÃO, DESENVOLVIMENTO, CONCLUSÃO E BIBLIOGRAFIA. UMA IMPORTANTE HIPÓTESE A SER COMPROVADA NO FIM, OU NÃO, DEVE EXISTIR, SER CRIADA, E DEVE SER INTERESSANTE, DEPOIS QUE SE SABE A TEORIA, A PROPOSTA DE PESQUISA SÓ PRESTA, SE HOUVER ALGO DE NOVIDADE. INICIAR COM UMA APRESENTAÇÃO CLARA DE QUAIS SÃO OS OBJSTIVOS SEUS COM AQUELA PROPOSTA, INCLUSIVE EXPLICAR O OBJATIVO DE BUSCAR A COMPROVAÇÃO DA SUA HIPÓTESE LEVANTADA. TUDO JUNTO, DEMONSTRARÁ QUE VOCÊ SABE COMO SE MOVIMENTA, SE DÁ MOVIMENTO A UM TRABALHO DE PESQUISA. O ENSINO DISSO CHSAMA-SE METODOLOGIA, COISA EM QUE ME ESPECIALIZEI.
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In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources taken from online scientific knowledge bases, online scientific portals and online indexing databases of scientific publications?
I'm curious to know what you think about this? This kind of solution based on an intelligent publication search system and an intelligent content analysis system of retrieved publications on an online scientific portal could be of great help to researchers and scientists. In my opinion, the creation of a new generation of something similar to ChatGPT, which will use databases built solely on the basis of online scientific knowledge bases, online scientific portals and online scientific publication indexing databases makes sense if basic issues of copyright respect are met and such tools use continuously updated and objectively and scientifically verified knowledge, data and information resources. With such a solution, researchers and scientists conducting research on a specific topic would have the opportunity to review the literature within the millions of scientific publications collected on specific online scientific portals and scientific publication indexing databases. Besides, what is particularly important, the mentioned partially automated literature review would probably be realized in a relatively short time. Thus, an intelligent system for searching and analyzing the content of scientific publications would, in a short period of time, from among the millions of texts archived in specific scientific publication indexing databases, select those publications in which other researchers and scientists have described analogous, similar, related, correlated, related, etc. issues, results of scientific research conducted, selected publications within the same scientific discipline, the same topic or in the interdisciplinary field. Besides, an intelligent system for searching and analyzing the content of scientific publications could also categorize the retrieved publications into those in which other researchers and scientists confirmed analogous conclusions of conducted similar research, polemicized with the results of other researchers' research on a specific topic, obtained other results from conducted research, suggested other practical applications of obtained research results realized on the same or similar topic, etc. However, for ethical reasons and properly conducted research, i.e., respecting the research results of other researchers and scientists, it would be unacceptable for this kind of intelligent system for searching and analyzing the content of many publications available on specific databases for indexing scientific publications to enable plagiarism, i.e., to provide research results, provide retrieved content on specific issues and topics, etc., without accurately providing the source of the data, description of the source data, names of the authors of the publications, etc., and some unreliable researchers would take advantage of this opportunity. This kind of intelligent system for searching and analyzing the content of scientific publications should give for all searched publications full bibliographic descriptions, source descriptions, footnotes containing all the data that are necessary to develop full source footnotes for possible citation of specific studies, research results, theses, data, etc. contained in other publications written by other researchers and scientists. So, building this kind of intelligent tool would make sense if ChatGPT-type tools were properly improved and the system of laws for their use appropriately supplemented so that the use of ChatGPT-type tools does not violate copyrights and that these tools are used in accordance with ethics and do not generate misinformation. Improving these tools so that they do not generate disinformation, do not create "fictitious facts" in the form of descriptions, essays, photos, videos, etc. containing nicely described, presented never and nowhere seemingly facts is to keep Big Data systems updated, update data sets and information, based on which they create answers to questions, create descriptions, photos, companies and so on. This is important because current online tools like ChatGPT often create "nicely described fictitious facts," which is used to generate fake news and misinformation in online social media. When all that I have written above would be corrected and the use completed, and not only in some parts of the world but on a global scale, then the creation of a new generation of something similar to ChatGPT, which will use databases built solely on the basis of online scientific knowledge bases, online scientific portals and online indexing databases of scientific publications would make sense and could prove helpful to people, including researchers and scientists. Besides, the current online ChatGPT-type tools are not perfect, as they draw data not directly in real-time online from specific databases and knowledge contained in selected websites and portals, but draw information, knowledge, data from an offline database created some time ago. For example, currently the most popular ChatGPT still relies on a database of data, information, etc. contained in many publication texts downloaded from selected websites and web portals but not today or yesterday downloaded only in 2021! So these are data and information already outdated on many issues. Hence the absurdities, inconsistencies with the facts, creation of "fictitious facts" by ChatGPT in a significant part of the answers generated by this system to questions asked by Internet users. In view of the above, in a number of issues, both technological, organizational, formal, normative, etc., such intelligent systems should be improved so that they can be used in open access in the applications I wrote about above.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources taken from online scientific knowledge bases, online scientific portals and online indexing databases of scientific publications?
What do you think about creating a new generation of something similar to ChatGPT, which will use exclusively online scientific knowledge resources?
And what is your opinion about it?
What is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
Copyright by Dariusz Prokopowicz
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Our team has been working on retraining the ChatGPT 4.0 API and to develop an academic research assistant tool to boost productivity in exactly the areas you discuss. There are two aspects of the process: a) customize or fine-tine the generic bot to remove its tendency to confabulate and to assume a scientific mindset (critical thinking, objectivity, ethics etc.), and b) train the model on your specific academic literature to become an SME in your domain. Re-training the bot is a rather arduous process as you have to provide at least 50-100 examples of the desired behavior in each specific area, and it also comes with considerable cost. However, we believe that it will pay off thanks to the productivity gains after the bot is deployed. We hope to have a working prototype soon and will share with a group of researchers interested in beta-testing. We will share updates on the project here: https://www.researchgate.net/post/Intelligent_Research_Assistant_Software_Development_Project-Athena
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I will hope to research the relationship between anxiety level and smoking in our university
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Ekaterina Lyubenova Markova Thank you for your guidance. Following your feedback, I have conducted an internet search to study the two assessment methods. I decided that the GAD-7 scale appears to be the most suitable choice for my research.
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In your opinion, does the development of new online media, including online social media and the new technologies Industry 4.0 implemented into these media, including the use of artificial intelligence in these media, increase the issue of objectivity and transparency of information or rather generate more disinformation?
On the one hand, online social media, which has been developing for 2 decades now, is making a significant contribution to the development of remote online communication, social remote communication, open communication of sending content created on the fly, sending information to friends, promoting oneself and/or specific product or service offers, informal data transfer, expressing one's emotions in the information sent, including positive as well as negative emotions, and so on. In this way, online social media on a local, regional or global scale have also contributed to the objectification of information in the context of news reported in official, meanstream media. In this regard, online social media are fulfilling their role of social and objectification of media information both in countries with democratic power systems and in non-democratic, dictatorial power systems as long as they are not blocked and restricted by the power system.
On the other hand, there has long been a lot of fake news and disinformation in online social media, the transmission and forwarding by more Internet users of memes, posts, videos, banners, comments containing unverified, unconfirmed content, data and information. In addition, new ICT and Industry 4.0 information technologies, new versions of graphic and other applications are being used to generate disinformation. Also, cyber criminals and hackers breaking into social media user profiles, stealing sensitive data of social media users are also using new technologies. Recently, machine learning, deep learning and artificial intelligence technologies have also been used by cybercriminals and untrustworthy social media users to generate disinformation. As part of this, cybercriminals, hackers and unethical Internet users generating disinformation take advantage of security gaps in information systems, exploit diagnosed inadequacies in cyber security tools operating in the aforementioned social media sites. Thus, it is necessary to conduct relentless monitoring of information traffic on these portals, to identify cybercriminal, hacking, fake news and disinformation generating activities, and to improve cyber security systems, instruments, tools as efficiently and quickly as possible.
In view of the above, what prevails in recent times? Do new technologies rather help cyber criminals, hackers and foul Internet users generating disinformation, or do they rather help the development of social media portals and the improvement of cyber security systems?
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, does the development of new online media, including online social media and the new technologies Industry 4.0 implemented into these media, including the use of artificial intelligence in these media, increase the issue of objectivity and transparency of information or rather generate more disinformation?
Does the development of online media increase the issue of objectivity and transparency of information or rather generate more disinformation?
What is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
Copyright by Dariusz Prokopowicz
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Musliyu Raufu: You are correct that there is no true impartiality, that is not possible with many events and issues which are matters of opinion rather than fact. What has happened in recent years is that the editors of public media have been usurped by the owners and opinions expressed are less democratic. None of the western media have criticised the sham that is climate change propaganda, wonder why?
Any censorship of the internet needs to be done carefully: yes make obscene or violence support illegal, but do not allow the Fat Controller to stop debate.
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Hi Academics,
Kindly could you clarify the meaning of the term " Researcher"?
Best.
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FORMALMENTE SÓ É PESQUISADOR QUEM ESTÁ CUMPRINDO UM PROJETO DE PESQUISA, ACEITO E SUBSCRITO, POR UMA ENTIDADE GOVERMENTAL, UMA INDÚSTRIA, UNIVERSIDADE, ETC.
OS ESPECIALISTAS, PO ESTAREM INVESTIGANDO COTIDIANAMENTE E VÃO PUBLICAER SEUS RESULTADOS E SER JULGADO PELOS SEUS PARES, TAMBÉM ESTÁ FAZENDO PESQUISA. O ANTROPÓLOGO, P. EX. FAZ OS DOIS TIPOS DE TRABALHO, PARTICULAR E IBSTITUCIONALIZADO, MAS ESTARÁ SENDO PESQUISADOR.
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The 45,000-Year-Old Pig Painting in Indonesia may be the oldest known "Art" representation [1]. “Art” embodies the idea of imagination and creativity, “Science” refers to innovation and progress. This gives intuition that "Science" is bounded, unlike "Art" which is limitless. The same goes for philosophy, except this one integrates a desire to ask questions, understand, argue, and respond to material and immaterial issues that concern humans, their lives, and their environment. All contributions on the topic are welcome!
Illustration: Scientists estimate this pig painting was drawn 45,500 years ago. Source [1]
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@Stephen I. Ternyik Purely my opinion! I think to say that, science is hierarchically above art is to certain degree debatable. Facts can be dependent or independent entities and are malleable with time. Science must apply before it can lead (anonymous) for even scientific investigations to prosper, there must employment of some artistic functions that have to do with observations (even though called scientific methods). To say that, science is hierarchical over art implies that, there is no equality among disciplines, which can disturb scholarly community. And this can raise some questions whether there is absolute interdisciplinarity or multidisciplinarity in the academia. I think art is given least treatment in terms of the function it performs right from the middle ages to the present such as in trivium and quadrivium.
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Dear Colleagues,
Today, in the era of digitalization, companies are experiencing new challenges more than ever before. Innovation, sustainability and resilience are the pillars of successful and sophisticated digital transformation.
X.0 companies can no longer focus on a simple short-term vision by producing the same recipes but are embracing more creative changes in order to be able to produce innovations and create new personalized experiences.
X.0 is the digital reinvention of the industry, combining the efficiency of transformation with research. This transformation will be able to create innovation and make these companies more resilient toward new sustainable growth to create value.
This session aims to share the most recent contributions in this area. Researchers and professionals are invited to present their work in the following or related fields:
  • Resilience;
  • Innovation and/or digitalization;
  • Sustainability;
  • Smart industry;
  • Industry 4.0/Industry X.0;
  • Artificial intelligence (AI);
  • Modeling and simulation;
  • Lean manufacturing/supply chain management;
  • Safety and maintenance;
  • Railways and trains.
Dr. Mario Di Nardo Dr. Maryam Gallab Guest Editors
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X.0 is the digital reinvention of the industry, combining the efficiency of transformation with research. This transformation will be able to create innovation and make these companies more resilient toward new sustainable growth to create value.
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For my MSC in Occupational Psychology, I am currently working on my dissertation which is about whether workload has an effect on the relationship between work engagement and career commitment. I have started data collection yesterday and with my deadline nearly a month away, I need more participants asap. So if anyone is interested in doing this study, you just need to complete an online questionnaire which will not take longer than 20 minutes.
This is the link to the questionnaire if anyone is interested: https://goldpsych.eu.qualtrics.com/jfe/form/SV_1MQcoQGIzNikoyF
Also, if you can share my questionnaire link to any of your friends, colleagues or family members who you think may be interested in doing this study, then that would be much appreciated as the more participants I have, then the more easier things will be for me.
Thank you!
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Good,keep its up and incase of any problems pl no hesitation. to cintact
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I am conducting a research project involving the use of the MACD (Moving Average Convergence Divergence) signal indicator for analyzing multivariate time series data, possibly for trading purposes.
I've defined some initial parameters such as ema_short_period, ema_long_period, and signal_period. However, I'm interested in insights and best practices for parameter selection in such analyses.
I used these values to calculate and implement this indicator.
ema_short_period = 12
ema_long_period = 26
signal_period = 9
What parameters should I consider when dealing with multivariate data, and how can I optimize these parameters for my specific analysis goals?
Additionally, if anyone has experience with using the MACD in multivariate time series analysis, I'd appreciate any advice or insights you can provide.
I'm implementing this using python.
Thank you!
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Selecting optimal parameters for MACD in multivariate time series analysis, especially in financial trading algorithms, is crucial to designing effective trading strategies. Here are some steps and considerations:
1. Understand the MACD Parameters:
  • ema_short_period: Short-term Exponential Moving Average.
  • ema_long_period: Long-term Exponential Moving Average.
  • signal_period: Signal line, which is an EMA of the MACD values.
2. Parameter Optimization Strategies:
  • Grid Search: Systematically work through multiple combinations of parameter tunes, cross-validating as it goes to determine which tune gives the best performance.
  • Random Search: Try random combinations of parameters and keep track of the best ones.
3. Cross-Validation:
  • Ensure to implement cross-validation during parameter tuning to avoid overfitting. Time series cross-validation is a reliable method.
4. Objective Function:
  • Define a clear objective function. It could be maximizing the strategy returns, the Sharpe ratio, or another relevant metric. Your optimization procedure should aim to optimize this function.
5. Be Aware of Overfitting:
  • The risk of overfitting is particularly high in trading algorithms. A strategy that is too finely tuned to past data may not perform well in the future.
6. Trading Considerations:
  • Risk Management: Ensure that your parameters and strategies are in line with acceptable risk levels.
  • Transaction Costs: Always account for transaction costs in your strategy.
7. Consider Multivariate Aspects:
  • Correlation: Ensure to check how the different variables in the multivariate time series are correlated with each other.
  • Cointegration: If using for pairs trading or similar strategies, testing for cointegration between the pairs might be useful.
8. Backtesting:
  • It’s vital to backtest your strategy with the chosen parameters on out-of-sample data to ensure its robustness.
9. Sensitivity Analysis:
  • Conduct sensitivity analysis for your parameters to ensure that your strategy is robust and not overly sensitive to the parameter choices.
10. Technology and Tools:
Since you’re using Python, utilize libraries like pandas for data manipulation, matplotlib and seaborn for data visualization, and statsmodels for statistical models and tests.
Python Implementation:
For the MACD calculation and visualization:
{
import pandas as pd
import matplotlib.pyplot as plt
def compute_macd(data, short_window, long_window, signal_window):
short_ema = data['Close'].ewm(span=short_window, adjust=False).mean()
long_ema = data['Close'].ewm(span=long_window, adjust=False).mean()
data['MACD'] = short_ema - long_ema
data['Signal_Line'] = data['MACD'].ewm(span=signal_window, adjust=False).mean()
return data
# Example
# data = pd.read_csv("your_data.csv")
# data = compute_macd(data, 12, 26, 9)
# plt.plot(data['MACD'], label='MACD')
# plt.plot(data['Signal_Line'], label='Signal Line')
# plt.legend(loc='upper left')
}
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Hi, we are researching a Comparative Analysis between Personality Traits among Career Interests and Self- determination. We've been trying so hard to find a related literature for personality traits and self-determination. Unfortunately, we still can't find one and we need it. I hope that you can help us thank you so much
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Hi,
You might try Personality traits theory, testing and influences by
Melissa E Jordan or Personality: in search of individuality by Nathan Brody
A good article by Prentice et al., 'Integrating whole trait theory and self‐determination theory," published by Wiley, might also help.
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I am reaching out to #researchers in the field of #Biochemistry, #Biophysics and #Bioinformatics, for collaborative partnership in scientific research. The researcher should be academic staff at the tertiary institutions in following listed countries:
#Afghanistan
#Angola
#Bangladesh
#Belarus
#Belize
#Benin
#Bhutan
#Burkina Faso
#Burma
#Burundi
#CaboVerde
#Cambodia
#Cameroon
#CentralAfricanRepublic
#Chad
#Comoros
#Congo
#CookIslands
#Cuba
#Democratic People's Republic of Korea
#Democratic Republic of the Congo
#Djibouti
#Dominica
#EquatorialGuinea
#Eritrea
#Eswatini
#Ethiopia
#Gambia
#Ghana
#Grenada
#Guinea
#Guinea-Bissau
#Guyana
#Haiti
#Iran
#IvoryCoast
#Kenya
#Kiribati
#Kyrgyzstan
#Lao People's Democratic Republic
#Lebanon
#Lesotho
#Liberia
#Madagascar
#Malawi
#Maldives
#Mali
#Marshall Islands
#Mauritania
#Micronesia (Federated States of)
#Mozambique
#Myanmar
#Nauru
#Nepal
#Nicaragua
#Niger
#Niue
#Palau
#PapuaNewGuinea
#Moldova (Republic of)
#Rwanda
#SaintHelena
#SaintLucia
#SaintVincent and the #Grenadines
#Samoa
#SaoTome and #Principe
#Senegal
#Sierra Leone
#SolomonIslands
#Somalia
#SouthSudan
#Sudan
#Suriname
#Syrian Arab Republic
#Tajikistan
#Timor-Leste
#Togo
#Tokelau
#Tonga
#Tuvalu
#Uganda
#Ukraine
#Tanzania (United Republic of)
#Vanuatu
#Yemen
#Zambia
#Zimbabwe
Interested researcher should kindly email to [email protected] with the subject: Research Collaboration from "your country".
Thanks.
Toluwase H. Fatoki
Visionary @ Heze-Sapience International, Nigeria.
Lecturer @ Department of Biochemistry, Federal University Oye-Ekiti, Nigeria.
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And why don’t you want any collaboration from Nigeria?
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Please advise resources where you can search for dissertations using keywords. We need sites where you can choose the type of scientific work (article, dissertation, etc.). Thank you!
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You can use ResearchGate to search for specific types of research papers; other popular resources include Google Scholar (scholar.google.com) for finding research papers and ProQuest (proquest.com) for dissertations and theses.
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Can the conduct of analysis and scientific research be significantly improved through the use of Big Data Analytics, artificial intelligence and quantum computers?
Can the possibilities of Big Data Analytics applications supported by artificial intelligence technology in the field increase significantly when the aforementioned technologies are applied to the processing of large data sets obtained from the Internet and realized by the most powerful quantum computers?
Can the conduct of analysis and scientific research be significantly improved, increase efficiency, significantly shorten the execution of the process of research work through the use of Big Data Analytics and artificial intelligence applied to the processing of large data sets and realized by the most powerful quantum computers?
What are the analytical capabilities of processing large data sets extracted from the Internet and realized by the most powerful quantum computers, which also apply Industry 4.0/5.0 technologies, including generative artificial intelligence and Big Data Analytics technologies?
Can the scale of data processing carried out by the most powerful quantum computers be comparable to the data processing that is carried out in the billions of neurons of the human brain?
In recent years, the digitization of data and archived documents, digitization of data transfer processes, etc., has been progressing rapidly.
The progressive digitization of data and archived documents, digitization of data transfer processes, Internetization of communications, economic processes but also of research and analytical processes is becoming a typical feature of today's developing developed economies. Accordingly, developed economies in which information and computer technologies are developing rapidly and finding numerous applications in various economic sectors are called information economies. The societies operating in these economies are referred to as information societies. Increasingly, in discussions of this issue, there is a statement that another technological revolution is currently taking place, described as the fourth and in some aspects it is already the fifth technological revolution. Particularly rapidly developing and finding more and more applications are technologies classified as Industry 4.0/5.0. These technologies, which support research and analytical processes carried out in various institutions and business entities, include Big Data Analytics and artificial intelligence, including generative artificial intelligence with artificial neural network technology also applied and subjected to deep learning processes. As a result, the computational capabilities of microprocessors, which are becoming more and more perfect and processing data faster and faster, are gradually increasing. There is a rapid increase in the processing of ever larger sets of data and information. The number of companies, enterprises, public, financial and scientific institutions that create large data sets, massive databases of data and information generated in the course of a specific entity's activities and obtained from the Internet and processed in the course of conducting specific research and analytical processes is growing. In view of the above, the opportunities for the application of Big Data Analytics backed by artificial intelligence technology in terms of improving research techniques, in terms of increasing the efficiency of the research and analytical processes used so far, in terms of improving the scientific research conducted, are also growing rapidly. By using the combined technologies of Big Data Analytics, other technologies of Industry 4.0/5.0, including artificial intelligence and quantum computers in the processing of large data sets, the analytical capabilities of data processing and thus also conducting analysis and scientific research can be significantly increased.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Can the conduct of analysis and scientific research be significantly improved, increase efficiency, significantly shorten the execution of the process of research work through the use of Big Data Analytics and artificial intelligence applied to the processing of large data sets and implemented by the most powerful quantum computers?
Can the applicability of Big Data Analytics supported by artificial intelligence technology in the field significantly increase when the aforementioned technologies are applied to the processing of large data sets obtained from the Internet and realized by the most powerful quantum computers?
What are the analytical capabilities of processing large data sets extracted from the Internet and realized by the most powerful quantum computers?
And what is your opinion about it?
What do you think about this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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All three areas are in the development stage and they are helping in every research area. But the development of quantum computers would solve all the problems because the universe follows quantum physics, not classical physics.
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An important question, I am waiting for the answer, too....
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if blood can't describe the solution to the problem, is science qualified to comment?
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Dear Doctor
"ResearchGate is a social networking site for scientists and researchers to share papers, ask and answer questions, and find collaborators. ResearchGate has over 5 million members in 193 countries. It was designed by and specifically for scientists, to meet their diverse needs, and is touted as Facebook for academics. Membership is free but is restricted to working scientists and academics (you need an academic institution email address). The major disciplines represented in ResearchGate are biology, medicine, computer science, physics, and chemistry.
Researchers like using research gate to be found, find others and share their work. This is one place that your work will definitely be found by potential collaborators and researchers that would like to cite your work."
So on my own view yes ResearchGate.net (Social Media) have a legal right to censor to let all rights be preserved.
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What are the possibilities for the applications of Big Data Analytics backed by artificial intelligence technology in terms of improving research techniques, in terms of increasing the efficiency of the research and analytical processes used so far, in terms of improving the scientific research conducted?
The progressive digitization of data and archived documents, digitization of data transfer processes, Internetization of communications, economic processes but also of research and analytical processes is becoming a typical feature of today's developing developed economies. Currently, another technological revolution is taking place, described as the fourth and in some aspects it is already the fifth technological revolution. Particularly rapidly developing and finding more and more applications are technologies categorized as Industry 4.0/5.0. These technologies, which support research and analytical processes carried out in various institutions and business entities, include Big Data Analytics and artificial intelligence. The computational capabilities of microprocessors, which are becoming more and more perfect and processing data faster and faster, are successively increasing. The processing of ever-larger sets of data and information is growing. Databases of data and information extracted from the Internet and processed in the course of conducting specific research and analysis processes are being created. In connection with this, the possibilities for the application of Big Data Analytics supported by artificial intelligence technology in terms of improving research techniques, in terms of increasing the efficiency of the research and analytical processes used so far, in terms of improving the scientific research being conducted, are also growing rapidly.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What are the possibilities of applications of Big Data Analytics supported by artificial intelligence technology in terms of improving research techniques, in terms of increasing the efficiency of the research and analytical processes used so far, in terms of improving the scientific research conducted?
What are the possibilities of applications of Big Data Analytics backed by artificial intelligence technology in terms of improving research techniques?
What do you think on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
The above text is entirely my own work written by me on the basis of my research.
Copyright by Dariusz Prokopowicz
On my profile of the Research Gate portal you can find several publications on Big Data issues. I invite you to scientific cooperation in this problematic area.
Dariusz Prokopowicz
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In today's world AI is the hot topic
of modern digital era but that is not ensure
AI not able to replace human intelligence
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Salam & Hello
Has scientific publication become the ultimate goal, overshadowing the true purpose of research, which is to propose solutions and alternatives to real-world problems?
Regards,
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Salam,
"Has scientific publication become the ultimate goal..."
Not only ultimate goal, but also the main source of many sort of corruption in the world of academia. And I don't say this corruption threaten us, but has struck us all over the world for years. Simply almost everyone from students to professors want published items.
I have talked in detail about it in other discussions, this is a piece from one of them:
"They only want papers, published ones, in top journals, international ones. It is a full scale race, I call it paper rush (after gold rush) in all continents, countries, cities and universities. Those so called university rankings that again are the phenomena of internet age, added problems to this dilemma. They are also appearing like mushrooms, every several months via a search or by a piece of research or so called piece of research we hear about a new "comprehensive" univ ranking system. We are entering the situation that now even universities want to have their own univ ranking for all over the world. Some saying that this one or that one ranking is biased or some thing like this. Several people sit in a room, calling it the headquarters, making several tables, , copying a loose and weak method or idea behind other univ ranking systems (that themselves have many problems) and searching the web, easily get a URL and uploading what they want. Manipulating what ever they want. Doing what ever they want, in the name of science! Who sees them? all, you and all of us know.
Innocent young people see them and think this or that university is the best, those officials in this or that univ see them, and show off their place and ranking it that univ ranking, those univs which don't have a good or acceptable place in this or that ranking, wont discourage, they search and find the ranking that show their place as a good one or excellent one. All fails? put more pressure on all those involved, from students to professors to publish. Want tenure? publish, want to graduate? publish, want to start a job in the world of academia? publish, want to be a member of the hall of science fame? publish...
In this line of rush or race, publishers also see every thing, better than all of us. They know their supreme powers over us, now.
We are not in the age of "The World of Learning", ISI and even ugly "publish or perish" culture anymore, we are in the age of paperdemic, age of full scale plagiarization, data fabrication, fraud, and misconducts known up to now in the history of science, all are hidden as far as possible up to the time that they Fall out from behind the curtain. That is why as a part, the database of "retraction watch site" is updated daily or several time a day.
The publishers of the world of science that know how the world of academia is thirsty for publications, know to play chess, know how to move and act in this profitable world wide market. It is a cat and mouse game, but unfortunately we in the world of academia are not as lucky as Jerry that used to win over Tom. It is a reality that in all cases the real meaning of the cat and mouse game is applicable to us! So we all witnessing the goal of science is not better life for the human, but the ultimate goal is to see ones manuscript published!
You talked about hundreds or thousands of USD, when it is a noticeable sign of warning for you (in US), imagine what pain people are bearing in countries that the highest salary for a full prof is just several hundred USD per month.
There are many cases that people have to get big loans from banks and pay instalments for several years with big interest rates, just to pay the expenses of publishing their papers, unfortunately many of them useless, or even harmful but as money is involved, journals, whether the real ones or predatory , publish them, and now the other part of problem starts.
What is it? Those with their published papers move up the rank in the world of academia, take scientific posts, occupy editorial and managerial posts, thinking that they know every thing about science and advancement of science, make the other believe that they are experts, then doing the same to others (future/would be students, lower rank academic staff, ...) and this is what we can call it "Vicious cycle". That is why I say we are in a real cat and mouse game!"
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Would learning about other life forms on distant exoplanets make it easier to answer the question regarding the possible purposefulness or randomness of the origin/emergence of life in the Universe?
Would the knowledge of other forms of life on distant exoplanets make it easier to answer the question of the possible purposefulness or randomness of the origin/emergence of life in the Universe and its development in evolutionary processes lasting millions or billions of years?
Man has been searching for years for a clear answer to the questions concerning the nature and possible purposefulness or randomness of the origin/emergence of life in the Universe and its development in evolutionary processes lasting millions or billions of years. On the other hand, one of the highly debatable issues is the possibility of the existence of other life forms, including other intelligent life forms on exoplanets many millions of light years distant, located in other planetary systems, other constellations, other stellar constellations, in other galaxies. At present, the most perfect instrument for photographing cosmic objects millions or even billions of light years away that man has built so far is the James Webb Space Telescope. Perhaps with the help of this telescope it will be possible to take photographs of distant exoplanets similar to our planet Earth, which exist in other planetary systems at distances from suns that allow life to originate and develop in the form of evolution on them. If man ever manages in this way to unambiguously confirm the existence of other forms of life on distant exoplanets, then, taking into account the number of galaxies in the known Universe numbering in the billions, the potential number of exoplanets with other forms of life on them can then also be estimated in relatively large numbers. If this is the case, then the question of resolving the possible intentionality or randomness of the emergence, or in fact the multiple and independent emergence of life on many exoplanets many millions of light years distant from each other in the known Universe will also significantly change its interpretative character. In view of the above, an affirmative and unambiguous answer to the question regarding the possible intentionality or randomness of the multiple and independent from each other origin of life on various exoplanets that are many millions of light years distant from each other, i.e. in a situation of unambiguous confirmation of the existence of other forms of life on distant exoplanets, the question of the possible expediency or randomness of the multiple emergence of life in the Universe and its development in processes of evolution of various forms of life lasting millions or billions of years repeatedly, and perhaps also the independent, multiple emergence of intelligent forms of life and of the more or less technologically advanced civilisations built by these various intelligent forms of life should be greatly facilitated. Perhaps with the finest telescope yet built, i.e. the James Webb Space Telescope, it will be possible to photograph exoplanets millions of light years away and obtain evidence of the existence of other life forms on these distant exoplanets similar to our planet Earth. And when this has been achieved, then perhaps the answer to the other questions above will already be facilitated.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Would the knowledge of other forms of life on distant exoplanets facilitate the answer to the question concerning the possible expediency or randomness of the origin/emergence of life in the Universe and its development in evolutionary processes lasting millions or billions of years?
What is your opinion on the subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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In my opinion, yes, learning about other forms of life on distant exoplanets would be important to the question of defining the essence of life, the millions of years-long process of evolution of life taking place not only on planet Earth, including determining the possible expediency or randomness of the origin of life in the Universe. Probably an important issue is also to clarify whether if there are other forms of life on many exoplanets many millions of light years away, then whether on some of these exoplanets there are also other intelligent life forms and whether they have created some form of organized civilization.
What is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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How should ChatGPT technology be improved and how should copyright legal norms be revised so that the continued development of different solutions, generations etc. of artificial intelligence technology and its new applications is not a problem for the development of science, scientific research, describing and publishing research results, etc. just to support the development of science?
The research shows that the development of artificial intelligence technology and its new applications, including the technology of the ChatGPT intelligent language model made available on the Internet, is currently proceeding at a much faster pace in terms of adapting legal norms to the new situation of rapidly developing new applications of this technology. In addition, the developing new applications of the artificial intelligence solutions available to Internet users generate not only positive aspects. For example, there are already numerous situations of disinformation on social media using photos, texts and videos generated by certain artificial intelligence solutions available on the Internet. In addition to this, the possibility of generating the texts of articles and essays using the ChatGPT language model available on the Internet, which does not show data sources, source publications or bibliography footnotes, generates a serious problem of violation of basic copyright issues. In addition, the ChatGPT-generated texts do not contain information indicating whether they are entirely the product of artificial intelligence creativity or whether they are, however, texts produced by 'assembling' them by combining paragraphs and assignments borrowed from other Internet-accessible publications, articles, book texts, etc., which were added to the database used by ChatGPT in 2021 after being downloaded from the Internet. This problem could also apply to the many other artificial intelligence solutions available on the Internet capable of generating images, videos, innovations, patents, computer software, new drugs, technical designs, artistic works, etc. It is therefore also necessary to build a digital labelling system for the various "works" created by artificial intelligence in order to distinguish them from what is directly created by humans. In addition to this, the improvement of such creative artificial intelligence systems should also address the issue of the automatic display of data sources, reference publications, annotated bibliographies and the elimination of the possibility of plagiarism in this way. It is also necessary to adapt the legal norms in the field of copyright law and, for example, also tax law relating to the issue of taxation of work carried out by artificial intelligence replacing humans in certain positions in companies and enterprises. In addition, other issues that require adaptation of legal norms to the current situation of different applications of artificial intelligence are how to solve the issue of authorship and gratification for "works" created by a robot or other machine equipped with an artificial intelligence system, when an intelligent robot has been produced by one company and another company has purchased it, and it is within the latter company that the AI-equipped robot has created certain "works" such as photographs, films, innovations, patents, computer software, new medicines, technical designs, artistic works, etc., which have been created by the robot. In view of the above, it is obvious that the development of artificial intelligence should develop in such a way that it does not get out of hand. This means, for example, that ChatGPT technology should be improved and legal norms regarding copyright should be amended so that the continued development of various solutions, generations, etc. of artificial intelligence technology and its new applications is not a problem for the development of science, scientific research, describing and publishing research results, etc., but only supports the development of science.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How should ChatGPT technology be improved and how should copyright legal norms be revised so that the continued development of various solutions, generations, etc. of artificial intelligence technology and its new applications is not a problem for the development of science, scientific research, describing and publishing research results, etc. only to support the development of science?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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In connection with the above issue, it is necessary to build a system for labeling all kinds of creations, products, works made by artificial intelligence so that every user of certain goods, including publications created by artificial intelligence and available, among others, on the Internet, will know that this thing was created by artificial intelligence. In addition to this, it is necessary to create automated, standardized, reliable, etc. systems that accurately demonstrate the sources, footnotes, authorship of the various parts of a given work, which was created by an artificial intelligence, which in the course of creating a specific work combined various creations of human creativity.
What do you think about this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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How can artificial intelligence technologies be used effectively in universities so that the development of artificial intelligence technologies exemplified by ChatGPT does not pose a threat to universities but rather is an increase in the possibilities for the development of universities, the development of scientific research, including the improvement of the efficiency of conducted research, analytical, teaching, scientific processes using large amounts of multi-criteria data processed on computerised Big Data Analytics platforms?
The development of artificial intelligence applications today is almost limitless. Artificial intelligence technologies have been developed for many years, but it is in the last few years that this development has significantly accelerated. On the other hand, thanks to the artificial intelligence system made available on the Internet, which is the ChatGPT language model, the topic of artificial intelligence has, since the end of 2022, become one of the main topics of discussion in various fields of knowledge and in the context of different scientific disciplines, business applications, etc. ChatGPT has also become one of the most popular online platforms rapidly gaining new users at a rate comparable to the most popular and fastest growing social media sites. However, the currently developing applications of ChatGPT's intelligent language model have also started to generate negative effects and have overtaken the process of adapting systemic solutions and regulations to the situation. There has emerged a serious risk of the rapid development of disinformation in online social media, with images, videos and texts generated by various artificial intelligence solutions that present what can be described as 'fictitious facts', which present something that is difficult to distinguish from real facts, real events taking place and to diagnose who or rather what created them. There is a serious risk of non-compliance with copyright in the creation of certain types of 'works' created by artificial intelligence. This also raises the question of the ethics of the creation of new works, works in which a reliably realised creativity is or should be included. Newly created works, such as photographs, films, textual studies, literary works, paintings, graphics, sculptures, architectural designs, technical and other innovations, computer programmes, patents, etc., contain the element of new solutions, concepts, innovation, etc., which are the result of human creativity. However, in the context of thousands of years of evolution of human abilities and creativity, it is only relatively recently that man has begun to assist himself in the processes of creative creation of something new, innovative solutions, new concepts, artistic works, etc., assisted by advanced technology that does this in principle for man, but according to assumptions and rules that man determines. In recent years, the aforementioned processes of using artificial intelligence in the creation of a kind of "works" created with the application of more and more data and information and within the framework of processes that are becoming more and more automated have been taking place at an increasingly rapid pace. The development of the ChatGPT intelligent language model technology, which is available on the Internet, shows how dynamically the use of new technology is taking place in order to, as it were, cede creative work that requires multi-criteria processing of large amounts of data and in increasingly automated processes. Since, for example, ChatGPT-created texts often lack full descriptions of data sources, source publications, bibliographic descriptions and lack information on the extent of possible plagiarism, the scale of possibilities for copyright infringement is large. Therefore, in the context of thesis texts written by students, essays for course credit at university, the use of a tool such as ChatGPT for this purpose generates serious risks of unreliability of writing this type of work. Therefore, it is necessary to create a system of digital marking of various types of "works" created by various artificial intelligence solutions, i.e. in addition to texts created by artificial intelligence, also the creation of photographs, films, innovations, patents, computer software, new drugs, technical projects, artistic works, etc. Such a system of digital marking of various types of "works" created by various artificial intelligence solutions will be helpful in the matter of distinguishing the effects of human work from the increasingly highly substitutable effects of advanced data processing carried out by artificial intelligence. In addition to this, computerised anti-plagiarism platforms and programmes should be improved in such a way that they diagnose the borrowing of text fragments, sentences, paragraphs, phrases from other texts, publications, articles, books, etc., and unattributed sources of data, information, formulas, formulas, models, definitions of new concepts, new concepts, projects, innovative solutions, etc., unattributed bibliographies. Therefore, the currently developed artificial intelligence solutions, such as ChatGPT and similar solutions, should be improved both from the technical and procedural side, as well as from the formal and legal side, thanks to which the scale of improper use of such tools, generating negative effects, will be significantly reduced, including, among others, the scale of unreliable writing of texts of journal and other articles, theses, descriptions of conducted research, results of conducted analyses, etc. In this way, by significantly reducing the scale of negative effects of the developed artificial intelligence applications, the possibilities of practical application of artificial intelligence in the scope of improving the performance of research, analytical and development works, research and development works, as well as the results of conducted analyses, etc., will be limited. In this way, significantly reducing the scale of negative effects of developed applications of artificial intelligence, also developed in universities, the possibilities of practical applications of artificial intelligence in improving the implementation of research, analytical, research and development work, descriptions of results of conducted research will be able to be developed in the future. In this way, effectively, artificial intelligence technologies can be used in universities so that the development of artificial intelligence technologies, of which ChatGPT is an example, does not pose a threat to universities, but rather that it is an increase in opportunities for the development of universities, the development of scientific research, including the improvement of the efficiency of conducted research and analytical processes with the use of large amounts of data processed multi-criteria on computerised Big Data Analytics platforms.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How effectively can artificial intelligence technologies be used in universities so that the development of artificial intelligence technologies as exemplified by ChatGPT does not pose a threat to universities but rather that it is an increase in the possibilities for the development of universities, the development of scientific research, including the improvement of the efficiency of the conducted research, analytical, teaching, scientific processes using large amounts of data processed multi-criteria on computerised Big Data Analytics platforms?
And what is your opinion on this?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Artificial intelligence can find application in improving the processes of scientific research conducted and/or analytical processes in which, for example, large data sets are analyzed. In this regard, combining Big Data Analytics with certain artificial intelligence solutions, i.e. artificial neural network-based deep learning, can generate significant improvements in the efficiency of conducted research and analytical processes.
What is your opinion on this issue?
Best wishes,
Dariusz Prokopowicz
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By combining the technologies of quantum computers, Big Data Analytics, artificial intelligence and other Industry 4.0 technologies, is it possible to significantly improve the predictive analyses of various multi-faceted macroprocesses?
By combining the technologies of quantum computers, Big Data Analytics, big data analytics and information extracted from e.g. large numbers of websites and social media sites, cloud computing, satellite analytics etc. and artificial intelligence in joint applications for the construction of integrated analytical platforms, it is possible to create systems for the multi-criteria analysis of large quantities of quantitative and qualitative data and thus significantly improve predictive analyses of various multi-faceted macro-processes concerning local, regional and global climate change, the state of the biosphere, natural, social, health, economic, financial processes, etc.?
Ongoing technological progress is increasing the technical possibilities of both conducting research, collecting and assembling large amounts of research data and their multi-criteria processing using ICT information technologies and Industry 4.0. Before the development of ICT information technologies, IT tools, personal computers, etc. in the second half of the 20th century as part of the 3rd technological revolution, computerised, semi-automated processing of large data sets was very difficult or impossible. As a result, the building of multi-criteria, multi-article, big data and information models of complex macro-process structures, simulation models, forecasting models was limited or practically impossible. However, the technological advances made in the current fourth technological revolution and the development of Industry 4.0 technology have changed a lot in this regard. The current fourth technological revolution is, among other things, a revolution in the improvement of multi-criteria, computerised analytical techniques based on large data sets. Industry 4.0 technologies, including Big Data Analytics technology, are used in multi-criteria processing, analysing large data sets. Artificial Intelligence (AI) can be useful in terms of scaling up the automation of research processes and multi-faceted processing of big data obtained from research.
The technological advances taking place are contributing to the improvement of computerised analytical techniques conducted on increasingly large data sets. The application of the technologies of the fourth technological revolution, including ICT information technologies and Industry 4.0 in the process of conducting multi-criteria analyses and simulation and forecasting models conducted on large sets of information and data increases the efficiency of research and analytical processes. Increasingly, in research conducted within different scientific disciplines and different fields of knowledge, analytical processes are carried out, among others, using computerised analytical tools including Big Data Analytics in conjunction with other Industry 4.0 technologies.
When these analytical tools are augmented with Internet of Things technology, cloud computing and satellite-implemented sensing and monitoring techniques, opportunities arise for real-time, multi-criteria analytics of large areas, e.g. nature, climate and others, conducted using satellite technology. When machine learning technology, deep learning, artificial intelligence, multi-criteria simulation models, digital twins are added to these analytical and research techniques, opportunities arise for creating predictive simulations for multi-factor, complex macro processes realised in real time. Complex, multi-faceted macro processes, the study of which is facilitated by the application of new ICT information technologies and Industry 4.0, include, on the one hand, multi-factorial natural, climatic, ecological, etc. processes and those concerning changes in the state of the environment, environmental pollution, changes in the state of ecosystems, biodiversity, changes in the state of soils in agricultural fields, changes in the state of moisture in forested areas, environmental monitoring, deforestation of areas, etc. caused by civilisation factors. On the other hand, complex, multifaceted macroprocesses whose research processes are improved by the application of new technologies include economic, social, financial, etc. processes in the context of the functioning of entire economies, economic regions, continents or in global terms.
Year on year, due to technological advances in ICT, including the use of new generations of microprocessors characterised by ever-increasing computing power, the possibilities for increasingly efficient, multi-criteria processing of large collections of data and information are growing. Artificial intelligence can be particularly useful for the selective and precise retrieval of specific, defined types of information and data extracted from many selected types of websites and the real-time transfer and processing of this data in database systems organised in cloud computing on Big Data Analytics platforms, which would be accessed by a system managing a built and updated model of a specific macro-process using digital twin technology. In addition, the use of supercomputers, including quantum computers characterised by particularly large computational capacities for processing very large data sets, can significantly increase the scale of data and information processed within the framework of multi-criteria analyses of natural, climatic, geological, social, economic, etc. macroprocesses taking place and the creation of simulation models concerning them.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Is it possible, by combining the technologies of quantum computers, Big Data Analytics, big data analytics and information extracted from, inter alia, a large number of websites and social media portals, cloud computing, satellite analytics, etc., and artificial intelligence in joint applications of building integrated analytical platforms? and artificial intelligence in joint applications for the construction of integrated analytical platforms, is it possible to create systems for the multi-criteria analysis of large quantities of quantitative and qualitative data and thereby significantly improve predictive analyses of various multi-faceted macro-processes concerning local, regional and global climate change, the state of the biosphere, natural, social, health, economic, financial processes, etc.?
By combining the technologies of quantum computers, Big Data Analytics, artificial intelligence and other Industry 4.0 technologies, is it possible to significantly improve the predictive analyses of various multi-faceted macroprocesses?
By combining the technologies of quantum computers, Big Data Analytics, artificial intelligence, is it possible to improve the analysis of macroprocesses?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
The above text is entirely my own work written by me on the basis of my research.
I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.
Copyright by Dariusz Prokopowicz
Dariusz Prokopowicz
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In my opinion, thanks to the combination of the above-mentioned technologies, there are new opportunities to expand research and analytical capabilities, to process large data sets within the framework of Big Data Analytics, to develop predictive models for various types of macro-processes.
What is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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In your opinion, will an incipient global climate catastrophe also generate a global biodiversity catastrophe and, therefore, should the two catastrophes be studied simultaneously as closely related?
Increasingly, future global climate catastrophe is being combined with global biodiversity catastrophe in scientific deliberations. Still high civilization's greenhouse gas emissions are causing global warming to accelerate. If nothing changes in this regard, according to the predictions of climatologists, climate geophysicists, ecologists, researchers operating in interdisciplinary areas, etc., in a few decades planet Earth will face a global climate catastrophe, which will result, among other things, in a many times higher frequency and scale of emerging periods of severe drought, heat, forest fires, etc., which will result in the impossibility of human existence on most of the planet's land areas. This will be associated with lack of water, permanently breaking out fires, inability to grow crops, etc. In addition, in these areas, the level of biodiversity of natural ecosystems will decline many times over. To a large extent, most of the planet's biosphere will be affected. The scale of the ongoing mass extinction of many species of flora and fauna, the scale of the current great 6 species extinctions (6 within the history of life on Earth) will increase many times over. The biodiversity of the planet will decrease many times over, that is, what has evolved for hundreds of millions of years as part of the evolution of life on Earth, man will destroy in a relatively short period of a few centuries at most (counting from the period of the first industrial revolution). Therefore, the results of many scientific studies already support the thesis that a global climate catastrophe will also generate a global biodiversity catastrophe, and therefore the two catastrophes should be studied simultaneously as closely related. Do you agree with this thesis? Whether you agree or not then please provide substantive arguments, studies, publications.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, will the beginning global climate catastrophe also generate a global biodiversity catastrophe and, therefore, should the two catastrophes be studied simultaneously as closely related?
Will the beginning global climate catastrophe also generate a global biodiversity catastrophe?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite you all to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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I, too, believe that the effects of the ongoing process of global warming are increasingly generating an accelerating loss of biodiversity of the planet's natural ecosystems.
And what is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Best wishes,
Dariusz Prokopowicz
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Norwood-Hamilton scale for male pattern hair loss was first published by Norwood OT, in Southern Medical Journal (1975).
Reproduced by Justine A. Ellis, Expert Reviews in Molecular Medicine by Cambridge University Press 2002.
Is the scale patented or free for use in clinical research?
Many clinics across the globe have been using it and also published it on their website/blogs.
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It is free, my hair loss and hair restoration colleagues and me, have used it for more than 35-40 years. I use it everyday with my male hair loss patients.
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National Conference of Creativity, Innovation, and Technology [Virtual]
  • Full Papers Deadline September 1, 2023
  • Abstracts, Panels, and Workshops Deadline September 18, 2023
  • Notification of acceptance: September 28, 2023
  • Early Bird Registration Ends October 1, 2023
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Full Paper Deadline has been extended till September 18th for anyone interested in sharing their work at this collaborative conference!
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Is it ResearchGate, LinkedIn, or something else?
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I really appreciate your response! 👍