Science topics: Research
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Research - Science topic
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Questions related to Research
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.
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.
I'm doing some research on how stores can be used as educational tools... so looking for actual examples of t
- 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.
- Bridging the gap between theory and practice as a result of reading a story.
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.
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?
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?
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. :)
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?
The pan-country study could have further divisions/categorization based on different criteria. Any recommendations would be greatly appreciated. Thank you!
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.
\Researchgate{https://www.researchgate.net/profile/PROFILE_NAME}.
Your assistance would be appreciated.
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.
'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
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
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.
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?
I begin scientific inquiry by somewhat philosophizing. Science approximately derives from philosophy. Engineering is roughly derived from science.
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?
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.
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.) ]
University teachers have jobs such as teaching, so what percent of their time is spent on research?
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.
I'm encountering challenges in funding publication fees and facing discouraging responses from journals despite my research aligning with their scope. How can I navigate this situation effectively?
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.
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
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
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
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)
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!
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.
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?
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:
- How do you envision no-code data analysis transforming your research?
- Are there any other no-code features you would like to see on PeptiCloud?
- 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
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.
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
Consider which primary audience you wish to engage with...
Any opinions?
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
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/
Email: [email protected]
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.
📢 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.
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?
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?
Philosophy is allowed on ResearchGate to uphold freedom of inquiry. And philosophy can lead to science:
Presentation Differential Equations of Advanced Conception
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.
I will publish a book with Springer Nature on Sustainability and Artificial Intelligence. Please forward my CfP to anyone interested
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
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.
Copyright by Dariusz Prokopowicz
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.
Copyright by Dariusz Prokopowicz
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.
Websites or online resources dedicated to providing comprehensive details on clinical-based research are crucial for developing novel studies and should be identified
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.
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
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
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
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
What is important in building international research teams?
On what foundations should long-term scientific cooperation between scientists be developed?
Please reply
Best wishes
- shouldn't they deny reviewing it?
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?
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!
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?
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
I had Many papers with citation in Google scholar that not appear in RG and vice versa.
Can anyone help to add the citations?
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.
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
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!
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.
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.
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.
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.
What are the exact difference between research methods and research methodology?
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?
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?
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
What is the difference between optimization and standardization in research? What difference does validation have from others?
Hi,
What are the main guidelines, could you give for a new researcher who is going to make a research proposal?
Thank you.
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
I will hope to research the relationship between anxiety level and smoking in our university
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
Hi Academics,
Kindly could you clarify the meaning of the term " Researcher"?
Best.
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]
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
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!
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!
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
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.
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!
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
Are you an international researcher? I have started a new project with my dear colleague, Phelipe Magalhães Duarte and Sara Khosravipour , on the topic of CCHF. If you think you have high potential for this research, don't waste time and send your CV by email.
Email: [email protected]
if blood can't describe the solution to the problem, is science qualified to comment?
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
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,
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
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
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
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
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
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.
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
See details https://nccitconnect.com/submit-%26-tracks
Is it ResearchGate, LinkedIn, or something else?