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Hi, I am using the QCAmap for the very first time on my thesis. The excel files came out from the codings are almost unreadable due to its squeezy formats. There are considerable amount of them in my project. Can anyone suggest an efficient way to organise them?
Thank you very much in advance!
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Jhon Paul Ambit When you quote ChatGPT or any other AI, you should note this, just as you would with any other reference to an outside source.
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Are you aware of any possible link between Aspen Adsorption and Matlab? I'm currently modelling Hydrogen separation from Coke oven gases with Aspen Adsorption, but would like to add a subsequent Matlab model to it.
It there a direct way? Is it possible to export the Adsorption model into Aspen Plus and achieve a interaction in that way? (I know a link between Aspen Plus and Matlab is possible (either via excel or direct (https://uk.mathworks.com/matlabcentral/fileexchange/69464-aspen-plus-matlab-link))
Any guidance would be welcome.
regards,
Sjoerd
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Hi,
I need to create individual rarefaction curves for my microbial ecology data (86 samples with several thousand OTUs each). How do I do this in Primer 7 (or Excel)?
Thanks,
Catharina
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Based on the sample data, -plots,-Species-Accumulation Plot.
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I have collected data from the field in consecutive days. I have those data in excel how can i calculate the exact day of 75% seed germination using any formula.
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Simply work out the cumulative germination percent from daily count data so you can easily find the time interval when it cross 75.
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I have to classify some rocks using their modal composition, but no point counter in my disposal, that's why I would like to know if some one may help me with any Excel sheet or reliable application which may permit me to determine their modal composition using their whole rock chemical composition?
Thanks
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Hi. For modal composition classification of coarse-grained rocks I would use JMicroVision. You just have to do your petrography beforehand and collect at least about 6 microfotographs, XPL and PPL, so you can then do offline point counting. It works quite well in my opinion.
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Hello
I have two questions:
1. Can I use more than one method for filling the missing values? Like moving averages, and imputing mean where moving averages didn't work?
2. Are the methods for treating missing data in panel data same like any other? Can I use 2 period moving averages if when I plot it on excel '2 period moving averages' is the best and closest representation of my available datapoints?
Thanks.
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As I said I can't recall Tina, the ? or answer whereby someone indicated not to use mean substitution, as I had always thought that was recommended. You could delete all the data with missing values, but then you introduce bias in that those who don't answer maybe a select group. Also the variable with 41% missing data, if you delete all of this, you remove a lot of your dataset, so that maybe problematic. I've just done a search on research gate using the term 'missing data' & there are a lot of very useful information answers, links and attachments. I would advise reading those ?/answers.
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I am working in a review on a topic and I want to use Research gate (among others) as data base
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Study about webscrapping to get better idea for what you are looking.
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Dear Experts,
I need your guidance on the invariance test performed via AMOS. My friend is comparing two groups, A and B. Their Model fits are excellent, less than 3. CFI is 0.98 for both groups. RMSEA group A is 0.040, and group B is 0.038. All factor loadings are above 0.8 for both groups, but there is a huge chi-square difference of about 400+ between constrained and unconstrained models. The sample size is large 1600+. I need your guidance to resolve this issue in order to establish the invariance between the two groups. Your expert opinion will be highly appreciated. Thank you so much
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Professor Eric Tafani Thank you for your response.
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I am recommending the incredible work of my editor, Paulo Oliveira, Chief Editor at Poe Publishing and PhD Publishing.
Dear Researchers,
The PhD Publishing imprint specializes in releasing high-impact academic books renowned for their exceptional quality in print. Our rigorous selection, editing, and printing processes ensure excellence at every step.
We are thrilled to extend an invitation to you to consider publishing your research with us at PhD Publishing. As a platform dedicated to academic excellence, we continuously seek innovative and high-quality work to share with the global academic community.
Our editorial team is committed to providing a transparent, fair, and rigorous publishing process, ensuring that your research is presented in the best possible light. Additionally, we offer personalized support and guidance at every stage of the publication process.
By choosing to publish with us, you not only disseminate your findings to the world but also join a community of dedicated scholars striving to advance knowledge in diverse fields.
We eagerly look forward to receiving your contributions and collaborating together to broaden the horizons of knowledge.
Do you have a unique project
with specific needs?
Contact Us:
+55 (61) 3247-3382
Warm regards,
Paulo Oliveira
PhD Publishing
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Very interesting. First time i heard about
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Hello colleagues,
I am looking for a validated Excel sheet for the recovery calculation of a standard addition in a GC analysis. This should be able to take into account different sample weights.
Does anyone work with the Chromeleon software and know how to calculate this using one-point standard addition?
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Well, good luck with that. Given the "validation" of Excel as a computational package and your own checks of function and performance, I don't see what some other "commercial" package "validating" an already validated set of algorithms is going to do for you. You ARE chasing your tail there, and that is never productive. Maybe you'll feel better, if poorer, just outsourcing the entire project. Further, pharmaceuticals can't hide responsibility or accountability behind "validation" anyway, as most don't even understand the lack of significance of much of the statistics. If I was not retired I'd offer to perform that nth validation for you.
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I have data consisting of two trends over time.
For example, the GDP and net immigration figures of the UK, from 1950-2020 (not the real data).
I can plot the 2 trend lines on the same graph and visually examine if they look like they correlate over time. However, is there any way to examine if they statistically correlate over time?
Note, this need to be a simple analysis that one can do in MS excel of other free software (e.g. JASP), as it is for a student.
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Yes, the same meaning: "rolling the window" = like = sliding the window.
Good luck Joseph Whittaker.
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I am planning to pursue my Ph.D. study in Healthcare management and want to focus during my study on Operational excellence and Organizational performance in Hospitals.
Do you have any recommendations for both variables' tools, theory, and components? Also if you have a suggestion on what aspect I should focus on or approach to follow?
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You might read Alex Knight's novel, Pride and Joy on addressing the healthcare crisis, particularly in the UK. He was a TOC consultant in healthcare (35 years and, prior to that, an instructor at Ashridge) and implemented this solution globally. He has made several presentations and webinars at TOCICO and in at least one presentation or webinar evaluation criteria. Also, see the Taylor and Francis "Theory of Constraints in Healthcare" article collection for free downloads of six TOC articles. Check out the TOCICO healthcare portals for about a dozen video presentations with PDFs and their annotated bibliography on TOC presentations/webinars. Bacelar et al. l (available on the Taylor and Francis website for free) also conducted a literature review of TOC implementations with financial and organizational performance results (the research had to provide these results to be included) and, more recently, a similar article (Theory of constraints in healthcare: a systematic literature review by Mohit Datt and Ajay Gupta, et. al., (2024, I think) International Journal of Quality & Reliability Management. There are probably a half-dozen TOC academics and a like number of MDs, and also a like number of TOC consultants that have implemented TOC in various healthcare settings with rapid and significant results.
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Why Indians are so distinguished in physicists and mathematicians?
The answer to this question has many similarities with a previous article: Why do Russians excel so much in mathematics and physics? [September 2020.]
*In general, there are two different ways to think, one is Western: speed kills strength, while the Eastern: strength kills speed. Both sentences are correct but only under different conditions.
We suppose that:
the study and research of physics and mathematics belong to the second.
*It is worth mention Albert Einstein's quote: "Imagination is more important than knowledge", David Hilbert citing the researcher's resignation: "Well, he didn't have enough imagination to become a mathematician"
*Here we could say that chess sport games are an interconnected thing:
imagination is the main factor common to mathematics, physics and chess.
Imagination in Indian chess is a unique, strong and creative field of imagination. Almost every chess player knows well how deep and difficult the Indian chess games of kings and queens are.
**In short, it is an integral collective process of education, training and creative thinking.
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An important note on why Indians perform so well in physics and mathematics can be described via the so-called:
Three-dimensional human classification
shown in the following figure.
📷              Fig.1 Three-dimensional human classification
The Indian population is quite large (+E9) and we therefore find a significant number of people located in the first sixth of the curve.
This means that this large number of people are active, intelligent and well educated.
This is the requirement for a superior physicist or mathematician.
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Hi,
I am carrying out a very basic undergraduate research study with no stats teaching on the course (medical degree) as a result I am floundering and wonder if anyone could help.
I am using two pre-validated Likert scales looking at the relationship of Emotional Intelligence and Resilience I have put this into a scatterplot in Excel to which it looks like a positively significant result (graph attached) My Pearson's correlation coefficient between the two is coming out at 0.797 would that be r=0.79? and from what I read this is significantly significant?
However when I attempt to work out the P-value it shows as 3.419 which is not.
Any assistance or thoughts on what I am doing wrong would be of great help.
Many Thanks :)
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Adding to Christian Geiser's comments, using Excel for serious statistical analysis is generally a bad idea. This page outlines some of the main problems:
You probably have access to one or more recognized stats packages via your institution. If not, you could use JASP or Jamovi, both of which are free and user-friendly.
HTH.
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Hi fellows,
I am looking for two co-authors for a research project (50% done) that will be submitted to The 2024 15th International Conference on E-business, Management, and Economics (ICEME 2024, https://www.iceme.org/index.html). It is an excellent opportunity to come and visit China.
The topic's focus is Multinational Corporations (MCs), and the offer is valid until February 20th (11:59 pm, China time).
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Sure, Viorel. Thank you for your reply.
I will share ongoing research with you shortly, and we will continue from there.
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is there an Excel formula to calculate depth of the mixed layer using seawater density profile?
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Thank you, will give it a try
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How can you establish an environment of academic excellence in your school?
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Establishing an environment of academic excellence in a school involves creating a culture that values learning, encourages intellectual curiosity, and supports the academic and personal growth of every student. This can be achieved through a combination of strategies focused on leadership, teaching quality, curriculum relevance, student support, and community engagement. Below are key strategies to foster an environment of academic excellence:
1. Leadership and Vision
Establish a Clear Vision: Leadership should articulate a clear and inspiring vision for academic excellence that is shared with all stakeholders, including teachers, students, parents, and the community.
Lead by Example: Administrators and teachers should model the dedication, intellectual curiosity, and resilience they wish to see in their students.
2. High-Quality Teaching
Professional Development: Invest in regular professional development opportunities for teachers to update their knowledge and teaching skills.
Collaborative Teaching: Encourage a culture of collaboration among teachers to share best practices, resources, and innovative teaching strategies.
Feedback and Evaluation: Implement a constructive feedback and evaluation system for teachers to continually improve their teaching methods.
3. Curriculum and Learning Materials
Relevance and Rigor: Ensure the curriculum is both challenging and relevant to students' lives and future aspirations. Incorporate real-world applications to enhance learning.
Diverse Learning Materials: Provide a range of learning materials that cater to different learning styles and levels of understanding.
Innovation in Teaching: Encourage the use of technology and innovative teaching methods to make learning more engaging and effective.
4. Student Support and Engagement
Academic Support Services: Offer tutoring, mentoring, and counseling services to support students with academic challenges and personal issues.
Extracurricular Activities: Promote extracurricular activities that complement academic learning and develop a well-rounded individual.
Student Voice: Encourage student participation in decision-making processes related to their education to increase their engagement and sense of ownership.
5. Inclusive and Positive School Culture
Promote Diversity and Inclusion: Foster an environment where diversity is celebrated, and all students feel valued and included.
Well-being Focus: Pay attention to the mental and physical well-being of students as a foundation for academic success.
Recognition and Rewards: Recognize and celebrate academic achievements and improvements to motivate students.
6. Parent and Community Engagement
Parental Involvement: Encourage active parental involvement in their children's education through regular communication and school events.
Community Resources: Leverage community resources and partnerships to enhance educational opportunities and experiences for students.
7. Continuous Improvement
Data-Driven Decisions: Use data to make informed decisions about teaching and learning practices.
Open to Change: Be willing to adapt and make changes based on feedback, new research, and educational trends.
Creating an environment of academic excellence is an ongoing process that requires the commitment and collaboration of the entire school community. By focusing on these strategies, schools can cultivate a culture that promotes high academic standards and supports students in achieving their fullest potential.
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I handle large amounts of data on chemical substances. There is unique information for each chemical, but there is repetitive information that is required to be prepared and processed.
I do not have much knowledge of coding, automated functions in Excel, or even AI tools for these matters. I only know one Macro feature in Excel but that is all I know. The pace and amount of data is just increasing over the months. So, I wonder where to start leveraging existing tools that I can use for such tasks.
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Hi Stuti Ahuja thanks for your answer!
Hi Alisa Gorislav ! Thanks for your answer and resources. I will check them out.
Best,
John
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Hi all,
I am using the RoB2 tool on Excel for the first time today, and have been faced with some issues. When filling in each domain, the algorithm has successfully calculated the domain risk of bias. However, when I go to calculate the overall risk of bias, the algorithm does not do anything. I have made sure that macros are enabled. Any suggestions on how to resolve this issue would be much appreciated.
Best,
Sasha
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It sounds like you've encountered a technical issue with the RoB2 Excel tool. Here are a few troubleshooting steps you can try:
1. Check for Updates: Ensure that you have the latest version of the RoB2 Excel tool. Sometimes, updates fix bugs and improve functionality.
2. Re-download the Tool: If you haven't already, try downloading the tool again from a reliable source. Sometimes, files can get corrupted during the download process.
3. Check Compatibility: Make sure that the version of Excel you're using is compatible with the RoB2 tool. Compatibility issues can sometimes prevent macros from running properly.
4. Macro Security Settings: Double-check your Excel settings to ensure that macros are enabled and that you've granted the necessary permissions for the tool to run properly.
5. Consult Documentation or Support: If the issue persists, consult the documentation or support resources provided with the RoB2 tool. There may be specific instructions or troubleshooting steps available to help resolve the issue.
If none of these steps work, you may need to reach out to the developer or support team for further assistance. They may be able to provide additional guidance or troubleshoot the issue more effectively.
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How do you demonstrate research excellence across disciplines and domains?
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Good afternoon Alwielland Q. Bello, May I ask for more specificities re: the question. In that can you make it more specific? Research excellence is so varied depending upon the site, data, funding, country specifics, technology expertise. For example, can you compare a research project done in Uganda with one done in USA. A rural research project on immunisation in Africa for example, in that country maybe considered well done, but by standards in USA it may not compare, but that does not mean that it is not superb for that country, in that you can't compare apples with oranges. Also, another example maybe a research photovoice project done for street people maybe considered successful as judged by participants [they objectively had positive vibes from the work], while politicians may judge it as unsuccessful if it doesn't get street people off the street. So who is judging success or not? Hence can you define your question better please?
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Are there any good jobs available for chemical engineers just by knowing the software like MS Excel, Aspen Plus and HYSYS, and also having an abundant knowledge on the basics of chemical engineering?
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You certainly have opportunities in the petrochemical industry during the design and revamp phases. Anywhere there is need to perform plate to plate calculations especially in multi component systems, there should be a niche.
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Hello, I received just my cyclic voltammogram file but I can't view or read it. Is there someone or anything that can view a .nox file? I already tried several converters but failed to successfully convert my file. If you know something about analyzing CV data, it would be very much appreciated
Best regards,
Flynne D.
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Thank you.
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I would want to perform calculations for Community temporal stability and community asynchrony using Excel, and I am seeking help on how to do so. Thank you in advance.
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Hello Dear Mehrovar Okhonniyozov. I am not much familiar with this issue, but here I am providing some examples which may help you how to solve this problem.
Cheers
Khasan
Performing temporal stability and community-wide asynchrony calculations in Excel involves a series of steps. Here's a simplified guide for each calculation:
Temporal Stability Calculation:
Step 1: Data Preparation
  1. Arrange your time-series data in columns, where each column represents a different time point, and each row represents a species or community metric.
Step 2: Calculate Mean and Standard Deviation
  1. In a new column, calculate the mean for each row using the formula: =AVERAGE(B2:Z2)
  • Replace B2:Z2 with the actual range of your data.
  • In another new column, calculate the standard deviation for each row using the formula: =STDEV(B2:Z2)
Step 3: Calculate Coefficient of Variation (CV)
  1. In another column, calculate the coefficient of variation using the formula: = (D2/C2) * 100
  2. Replace D2 and C2 with the corresponding cells for standard deviation and mean.
Community-Wide Asynchrony Calculation:
Step 1: Data Preparation
  1. Organize your time-series data for different species or community metrics in columns, similar to the temporal stability setup.
Step 2: Calculate Cross-Correlation
Use the CORREL function to calculate the cross-correlation between two species or community metrics. For example, if your data is in columns B and C, the formula would be:
=CORREL(B2:B100, C2:C100)
This will give you the correlation coefficient between the two columns. Repeat this for each pair of species or community metrics.
Step 3: Interpretation
A positive correlation suggests synchronous fluctuations, while a lack of correlation or a negative correlation indicates asynchrony.
Remember, these are simplified steps, and the actual analysis might involve additional statistical considerations. Also, Excel has limitations for complex statistical analyses, so for advanced ecological studies, specialized statistical software (e.g., R, Python with statistical libraries) might be more suitable.
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Please assist me. I greatly appreciate your thoughts, and they may be useful for my upcoming research.Thank you so much
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I'll try to do what I can according to my possibilities, particularly commenting on specific question, but not peer-rewieving works.
Regards.
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I want you to help me in one problemin excel file
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You may find the following useful: https://sourceforge.net/projects/s-s-curve/
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I make a theisis in the field
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As the developing world witnesses a boom in road building, a movement to retrofit existing roads is gathering steam. Using embankments, channels, and dikes, so-called “green roads” help control floods, harvest excess water for use in irrigation, and slash maintenance costs...
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  1. use excel and figure out the solution
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If you would have posted it in English, I might help you. I don't understand Chinese language.
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Respected Sir, I am Dr. Muhammad Imran, Ph.D Forestry. I have gone through your Research Paper entitled "A Nonlinear Mixed-Effects Height-Diameter Model with Interaction Effects of Stand Density and Site Index for Larix olgensis in Northeast China" which gave much insight and innovative ideas supported by various equations and models, I am highly impressed to see much more information in this manuscript. Dear Sir, I will be very thankful for your kind honor if you kindly provide me with the Raw Excel sheets of all the models and equations used in this research paper. Further, it will help me in my research. Hope to hear from you soon.
I shall be thankful to you for this act of kindness.
Regards,
Dr. Muhammad Imran Mahmood
Ph.D. Forest and Natural Resources Management
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Microsoft Excel is a powerful spreadsheet software that allows users to create and manipulate data using formulas, equations, and models. Here are some key features and aspects related to using formulas, equations, and models in an Excel sheet:
Formulas:
  1. Basic Arithmetic Formulas:Addition: =A1 + B1 Subtraction: =A1 - B1 Multiplication: =A1 * B1 Division: =A1 / B1
  2. Functions:Excel has numerous built-in functions (e.g., SUM, AVERAGE, IF, VLOOKUP) that you can use to perform specific operations on your data.
  3. Custom Formulas:You can create your own formulas by combining operators, functions, and cell references.
Equations:
  1. Solver Add-In:Excel includes a Solver Add-In that allows you to solve optimization and equation problems. It can be activated in Excel's Add-Ins menu.
  2. Mathematical Equations:You can enter mathematical equations directly into cells. For instance, typing =A1^2 + B1^2 will square the values in cells A1 and B1 and sum them.
Models:
  1. What-If Analysis:Excel allows for What-If Analysis using scenarios and data tables, where you can model different scenarios based on changing input values.
  2. Scenario Manager:Excel's Scenario Manager helps you create and manage different scenarios to analyze the impact of changes in variables on your model.
  3. PivotTables:PivotTables can be used to analyze and model data in a more dynamic and interactive way.
  4. Data Validation:You can use data validation to set constraints on the type of data entered in a cell, ensuring the integrity of your models.
  5. Charts and Graphs:Visual representation of data through charts and graphs can enhance the understanding of your models.
Data Analysis:
  1. Regression Analysis:Excel has built-in tools for regression analysis that can help model relationships between variables.
  2. Goal Seek:Goal Seek allows you to set a target value and find the input needed to achieve that result, useful for modeling desired outcomes.
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Dear Colleagues
I encountered a Runtime error 13/mismatch error while working with Comprehensive Meta-analysis (CMA) software. I've tried the suggested solutions found in a Google search and I could not solve my problem because they are mostly about the Excel software. Has anyone ever encountered this error in CMA software? What have you done to fix it?
I uninstalled the software once, but there is still an error.
Thank you for your support
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Dear Mojtaba
Thank you. This worked.
Cheers
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I have to use PLA as a polymer for preparing PNPs containing drug that shows an excellent solubility in chloroform. I need to know if PLA is soluble in chloroform and under what conditions.
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  • Hi! Can anyone refer me to a paper on the most effective method to melt PLA pellets? My research involves melting a batch of pure PLA 4032D with chloroform and I wanted to double check if the 1:5 ratio checks out or if there is a more efficient way. I've tried looking into videos for this process for a demo reference but so far it has only been academic papers. Any help/ advice would be appreciated. Cheers!
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There are many articles published on quantum image encryption, either based on chaos applications or any other techniques. Still, for the diffusion process, every author used quantum XOR using the CNOT or CCNOT gate, and I have done the same thing using a newly defined chaotic map. Still, I have one doubt whenever we test or encrypted image with NPCR and UACI test, the test results come very low even not close to 99.60 and 33.46. So, my question is how authors got the excellent NCR and UACI results. Please, can anyone help me with this issue?
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Hi,
The NPCR (Number of Pixel Change Rate) and UACI (Unified Average Change Intensity) tests are commonly used to evaluate the quality of encrypted images in terms of their resistance against attacks and the level of diffusion achieved. The higher the NPCR and the lower the UACI, the better the diffusion properties of the encryption algorithm.
If the NPCR and UACI results you obtained are significantly lower than the expected values of 99.60 and 33.46, respectively, it suggests that the diffusion process in your encryption algorithm may not be effective enough. This could be due to a variety of reasons, including the choice of the chaotic map, the implementation of the diffusion process, or errors in the encryption algorithm.
Here are a few things you can consider to improve the NPCR and UACI results:
Chaotic map selection: Ensure that the chaotic map you are using has good statistical properties and provides sufficient diffusion. Different chaotic maps have different properties, and some may be better suited for image encryption than others. You could try experimenting with different chaotic maps to see if they improve the diffusion properties of your algorithm.
Diffusion process: Review the diffusion process in your encryption algorithm. It's possible that the diffusion process is not adequately spreading the pixel changes throughout the encrypted image. You may need to revisit the diffusion mechanism and consider alternative techniques to enhance the diffusion properties.
Implementation errors: Double-check your implementation of the encryption algorithm and the diffusion process. Small errors or inconsistencies in the code could lead to suboptimal results. Make sure you are correctly applying the diffusion operations and that there are no unintended biases or patterns in the encrypted image.
Parameter tuning: Some encryption algorithms rely on adjustable parameters that can impact the diffusion properties. Experiment with different parameter values to find the optimal settings that provide better NPCR and UACI results.
Comparison with existing algorithms: Compare your results with other established encryption algorithms that use similar techniques or chaotic maps. This can help you identify any major discrepancies and provide insights into potential improvements.
Additionally, it's worth noting that achieving the exact NPCR and UACI values reported in the literature may not always be feasible due to variations in implementation, image datasets, and testing methodologies. However, it's important to strive for results that are close to the reported values to ensure the robustness of your encryption algorithm.
Please recommend my reply if you find my reply useful .Thanks
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I calculated my ms thesis data by SPSS, I think excel is difficult.
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SPSS is more user friendly. You can also consider using PSPP which is an alternative to SPSS but looks exactly like SPSS. It's free and can be run on computers with low configurations as well. I have analysed and published data in two of my recent publications using this software.
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Hi everyone
i would like know , how i can add module (openpyxl: module for read or write excel file ) in python for script on Abaqus ( i use python 2.7 version for abaqus 6.14)
thanks
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1. Finding the path of Abaqus python.exe file, the last part of document path is like:
%\SIMULIA\EstProducts\2022\win_b64\tools\SMApy\python2.7.
2. Editing the environment variables and adding the path of the file to the PATH variable as the figure below.
📷📷
3. If there are multiple versions of python rename the python.exe in the location above or rename others, which will be the command used in the command line (CMD).
4. Go to the file location and use the command python27(here) setup.py install to install the setuptool.
📷
5. Go to the file location of openpyxl and use the same python27(here) setup.py install command to install.
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Sincere greetings  My academic English writing is excellent. I desired to join several active groups within my field. My concentration is in molecular genetics. But I was unable to locate any. I would appreciate it if you could help me join scientific groups that study cancer and non-coding RNAs. Please inform me if a professor needs a remote colleague for paraphrasing and academic editing, especially in Germany. My affiliation will be the host affiliation.
As I am very creative and punctual, I will rewrite very soon.
I am ready for a test on paraphrasing a paragraph. Best wishes
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@ Good morning
Thank you very much. I am going to test them.
Regards
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There are many articles published on quantum image encryption, either based on chaos applications or any other techniques. Still, for the diffusion process, every author used quantum XOR using the CNOT or CCNOT gate, and I have done the same thing using a newly defined chaotic map. Still, I have one doubt whenever we test or encrypted image with NPCR and UACI test, the test results come very low even not close to 99.60 and 33.46. So, my question is how authors got the excellent NCR and UACI results. Please, can anyone help me with this issue?
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Dear Dr. Vivek Verma,
You may want to look over following useful information presented below:
The NPCR (Normalized Pixel Change Rate) and UACI (Unified Average Changing Intensity) tests are commonly used to evaluate the quality and security of image encryption techniques. These tests are designed to measure how much the encrypted image changes when a single pixel is altered in the original image. High NPCR and low UACI values indicate good security and encryption quality.
It's important to note that achieving high NPCR and low UACI values in quantum image encryption, or any encryption method, is not solely dependent on the choice of gates (like CNOT or CCNOT) or chaotic maps used for diffusion. There are several factors that can affect the results of these tests, and getting the desired NPCR and UACI values often requires careful consideration of various parameters and aspects of your encryption scheme. Here are some factors to consider:
  1. Key Management: The choice of encryption keys and how they are generated and managed can have a significant impact on the results. Make sure the key generation process is robust and secure.
  2. Quantum Algorithms: The specific quantum algorithms and gates used in your encryption process should be chosen carefully. The selection of quantum gates and their arrangement can influence the level of diffusion and the quality of encryption.
  3. Chaotic Maps: The chaotic maps used for diffusion play a crucial role. The properties of the chaotic map, such as its sensitivity to initial conditions, should be properly tuned to ensure good diffusion. Also, the number of iterations of the chaotic map may affect the results.
  4. Data Preprocessing: The preprocessing steps applied to the input image can affect the encryption results. Ensure that the preprocessing steps are consistent and not introducing unnecessary biases.
  5. Image Compression: Some encryption techniques may inadvertently introduce compression or other artifacts that affect the NPCR and UACI values. Avoid any unintentional image compression.
  6. Statistical Analysis: Carefully follow the procedures for calculating NPCR and UACI values. Ensure that you are comparing pixel values correctly and that you are taking into account rounding errors and data types.
  7. Randomness and Entropy: Ensure that the diffusion process is generating sufficient randomness and entropy. The quality of the random numbers used can impact the test results.
  8. Testing Datasets: The choice of testing datasets can affect the results. Make sure you're using a diverse set of images, and that the images are sufficiently large and complex to provide a meaningful evaluation.
  9. Evaluation Methodology: Double-check your implementation of the NPCR and UACI tests. Ensure that you are correctly following the standard procedures for these tests.
It's also important to remember that high NPCR and low UACI values are not the sole indicators of a secure encryption scheme. Other aspects of security, such as resistance to known attacks and robustness against various cryptographic analyses, should also be considered.
Ultimately, achieving the desired NPCR and UACI values requires a comprehensive approach to designing and implementing your quantum image encryption scheme, with attention to all the factors mentioned above. It may also involve making iterative improvements and optimizations to your technique. If the results are still not satisfactory, it's worth consulting with experts in quantum image encryption or cryptography for guidance and potential improvements.
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Dear Colleagues,
I'm facing some issues trying to import accident data to PTV Visum. I would greatly appreciate your help.
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Importing accident data from an Excel sheet into PTV Visum typically involves several steps. Here's a general outline of the process:
Prepare Your Excel Sheet:
Ensure that your accident data is well-organized in your Excel sheet. Create columns for attributes such as date, time, location, type of accident, severity, and any other relevant information. Make sure the data is in a structured format.
Save the Excel Sheet:
Save your Excel sheet with a clear and memorable name in a location that you can easily access.
Open PTV Visum:
Launch PTV Visum and open the project where you want to import the accident data.
Access the Accident Data Import Tool:
In PTV Visum, go to the "Tools" menu, and look for an option related to accident data import. The exact menu option may vary depending on the version of Visum you are using.
Select Your Excel Sheet:
Use the import tool to select the Excel sheet where your accident data is stored.
Map Data Fields:
PTV Visum will typically prompt you to map the data fields from your Excel sheet to the corresponding fields in the Visum database. This step involves matching columns from your Excel sheet to attributes in PTV Visum.
Review and Confirm:
Review the mapping to ensure that data is being imported correctly. Confirm the import settings.
Import Data:
Initiate the import process. PTV Visum will read the data from your Excel sheet and populate the corresponding fields in your Visum project.
Verify Imported Data:
After the import is complete, double-check the imported data in your Visum project to ensure accuracy.
Data Analysis and Visualization:
Utilize PTV Visum's tools and features to analyze, visualize, and work with the imported accident data as needed for your transportation planning or analysis tasks.
Please note that the exact steps and menu options may vary depending on the version of PTV Visum you are using. It's a good practice to consult the user manual or documentation specific to your Visum version for more detailed, version-specific guidance on importing accident data.
Additionally, ensure that the Excel sheet you are using is properly formatted and that the data matches the structure required by PTV Visum to facilitate a smooth import process.
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QFD
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Hello Eleazar Antonio Gonzalez, what does QFD stand for?
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Actually I tried both and the values were highly variable.
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Thank you for your reply. Can you please give me a guidance ( pdf or from your experience ) on which model to use. Actually we use (log (inhibitor) vs response (four parameters). However, when i used excel the Ic50 was highly variable
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Dear Tech supports,
My school asked me to do the (qualitative) systematic literature review.
I want to search my journal articles via the ResearchGate database.
How can I transfer my search results to Excel to remove duplicates?
How can I set my criteria before my search?
How can I know the numbers of my results?
Your help is much appreciated.
Sincerely,
Lillian Chang
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Hello dear Lillian Chang, first of all I wouldn't say that Researgates is a database. For me, it's more of a search engine. The best-known databases for systematic analysis are Web of Science, Scopus and others, which can be used to extract article metadata for bibliometric analysis. In short, to answer your question directly, "web scraping", also known as "harvesting", is a method that can help you extract articles from a website or any online platform for content analysis. You could read some documents on the subject to find out how it works.
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Network Pharmacology
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Step 1: Preparing the Pathway Excel Sheet
1.1. Collect relevant pathway information from public databases or literature.
1.2. Create an Excel sheet with the following columns: * Pathway ID (unique identifier for each pathway) * Pathway Name (name of the pathway) * Reactome ID (Reactome pathway ID, if available) * Gene Ontology (GO) Terms (associated GO terms for each pathway) * Genes (list of genes associated with each pathway) * Proteins (list of proteins associated with each pathway) * Interactions (list of protein-protein interactions within each pathway) 1.3. Ensure that the gene and protein names are in the format recognized by Cytoscape (e.g., Homo sapiens Gene Symbol, UniProt Accession). 1.4. Remove any duplicate rows or irrelevant data.
Step 2: Preprocessing Data for Network Construction
2.1. Convert the Excel sheet into a tab-delimited text file. 2.2. Use a tool such as Biopython or R to remove any inconsistencies in the data, e.g., missing values, incorrect formatting. 2.3. Perform gene name conversion, if necessary, using tools like GeneCyc or UniProt. 2.4. Normalize gene and protein names to their standardized forms.
Step 3: Building the Target-Pathway Network
3.1. Open Cytoscape and create a new project. 3.2. Import the preprocessed data into Cytoscape via the "File" menu > "Import" > "Network" > "From Text File." 3.3. Select the appropriate file type (e.g., Tab Delimited) and provide the path to the text file containing the pathway data. 3.4. In the import dialog box, select the columns corresponding to the pathway ID, gene/protein names, and interactions. 3.5. Choose the interaction type (e.g., protein-protein interactions) and specify any additional parameters, such as self-interactions or duplicates. 3.6. Click "Finish" to import the data and build the initial network.
Step 4: Refining the Network
4.1. Visualize the network using Cytoscape's layout algorithms, such as Force-Directed Layout or Spring-Electrical Layout. 4.2. Manually curate the network by removing any errors, artifacts, or redundant edges. 4.3. Add additional information to the network, such as gene expression data or functional enrichment analysis results. 4.4. Apply filters to focus on specific subnetworks or pathways.
Step 5: Analyzing the Network
5.1. Use Cytoscape's built-in tools to analyze the network, such as degree distribution, clustering coefficient, and shortest paths. 5.2. Utilize third-party plugins, such as CytoNCA or CytoMine, for advanced network analysis tasks, including network centrality, module detection, and visualization. 5.3. Integrate external data sources, such as gene expression profiles or drug targets, to gain further insights into the biological context of the target-pathway network.
Step 6: Visualizing and Reporting Results
6.1. Generate high-quality images of the target-pathway network using Cytoscape's visualization options, such as node coloring, edge labeling, and layout selection. 6.2. Create reports summarizing the network properties, gene/protein lists, and interaction patterns. 6.3. Share the results with colleagues or collaborators through various formats, such as PDF, PNG, or SVG files.
By following these steps, you can effectively construct and analyze a target-pathway network using Cytoscape, providing valuable insights into the complex interactions between therapeutic targets and their surrounding biological pathways.
All the best
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hello,
is there a solution or code for exporting the min and max values of stress and strain and displacement from multiple .odb files saved in the directory and exporting data in an Excel file?
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Ali Yousefi, Abaqus CAE and Abaqus Viewer are the most common software programs used to open Abaqus ODB files. These programs allow you to view and analyze the results of an Abaqus analysis in detail. If you are using a third-party post-processing software to open an Abaqus ODB file, make sure that the software supports the Abaqus ODB file format. You can check the software documentation to see if it supports the Abaqus ODB file format.
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when I use excelutilities to export to excel a message appears writing data in excel file failed
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Ranim Abdmouleh, you are using an unregistered Microsoft Excel. For more, let's connect on WhatsApp to discuss; https://wa.me/+923440907874
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Looking to use VosViewer. It rejects my csv file. YouTube said to change csv to csv-ms-dos but my Excel does not offer that option. What should I do?
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I did this but VisViewer won’t accept it. Switched to a PC problem solved! Thank you for getting back to me!
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It is very often that practitioners ask this question.
In reality there is not a 'best' method; probably it is better to ask about the 'most appropriate' method.
However, the most important aspect to consider is what the problem or scenario characteristics are, and from there choose the method, that best match them. It is just common sense.
It is easy to understand that a practitioner can apply a certain method
which is for instance the most used. However, if this method can't model a scenario as much close as possible, the result obtained is irrelevant and false, because it will be solving a problem that has no relation with the real scenario.
Based on the bold text, I developed a simple tool that can help the practitioner. It is not guarantee that the selected method replicates in full a certain scenario, but it will give the most close selection, and very important, gives as way to justify that selection
There are two parts labeled 300a and 300b. The first explains the procedure, while the second provides the tool in Excel for the practitioner to work, and without any calculation.
The additional advantage, is that the practitioner can make as many tests as wish, and that the characteristics for each scenario can be saved, and therefore it is easy to see in the future why a certain result was achieved
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Please find your request
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Hello RG members, I am using Design Expert 11 to estimate some results, however, while I'm exporting the 3D surface graphs data into excel, the file is saving but without data inside and 0 kb size.
Meanwhile exporting the effects like Pareto Diagram data, and model diagnostic graphs data into .csv through File -> Export to file enables to save the data even into raw form.
But, this method is not applicable for exporting 3D surface graphs data.
Does anyone know the solution or have tackled the same issue with some add-in plugs???
Thanks for sharing your opinions.
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You can copy formula, then you draw 3D curves on Matlab
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I'm in need of guidance regarding the conversion of my initial ICP-OES results, which were reported in mg/L, I conducted a dilution procedure on a 26.0 mg sample using a 1:3 mixture of nitric and hydrochloric acid, resulting in a total dilution volume of 0.025 dm^3.
My current data is in mg/L and is stored in an Excel spreadsheet. Despite my efforts to calculate the wt%, I'm still facing issues and would greatly appreciate assistance from anyone who can provide guidance on achieving accurate percentage conversions.
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Hi Sheeraz,
To calculate the weight percentage from the concentration obtained on the ICP, you can apply this formula:
wt.% = ((Intial Conc. in mg/L X Vol. in L)/Mass in mg) x 100
For example, a sample with a concentration of 10.8 mg/L Al:
((10.8mg/L X 0.025L)/26.0mg) X 100 = 1.03 wt%
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I am working on hydrogeochemical appraisal of an area. Chadha diagram plots of the samples indicate a base exchange and recent recharge scenario. I want to confirm this using a Sulin's diagram to show whether it is shallow meteoric or deep meteoric.
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Excel is a versatile tool for creating Sulin plots, there are also specialized hydrogeological software packages and modeling tools available that can streamline the process and provide more advanced features for groundwater analysis. These may include programs like PHREEQC, AquaChem, or GWB (Geochemist's Workbench), which can handle more complex geochemical modeling tasks.
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Hi! Normally we process our PCR results for fold change in Excel by calculating delta CT, delta delta CT and finally 2^-delta delta CT. My question is, can it be done in Graphpad Prism in a simple way. If yes then how can it be done?
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Yes it can be done in Graph Pad
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Hello guys
I would like to know if there ir any tool, like excel macro, for evaluate the risk of bias by Newcastle Ottawa Scale.
Regards everyone
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The Newcastle-Ottawa Scale is a tool used for assessing the quality of non-randomized studies included in a systematic review and/or meta-analyses. It is used to assess the quality of cohort and case-control studies.
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Although I am familiar with GPT excel sheets, I couldn't find the Gt-Hbl barometer there. There are no more recent models OPX CPX barometer models.
It would be much beneficial if someone help me.
Regards, and many thanks
Rishabh
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Hi How are you? Rishabh
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I am pleased to share with you a comprehensive list of esteemed book editorials for call for chapters from renowned publishers including Taylor and Francis, IGI Global, IET Press, Elsevier, De Gruyter, Wiley Scrivener, and Apple Academic Press. As an editor associated with these reputable publishers, with these books, I take great pride in curating impactful publications that contribute to the advancement of knowledge in various domains and audience. In addition to providing the list of editorial members who will oversee the development of each book project, I also include important information such as submission deadlines and manuscript submission links via email. Authors who submit their chapters will be entitled to receive a copy of the final hardbound publication which will be made available both online and offline in leading bookstores and university libraries. Please note that these editorial lists are dynamic entities that undergo regular updates. We strive for excellence throughout the entire publishing process by ensuring rigorous edits and modifications are made based on expert feedback received from reviewers. It is important to acknowledge that after chapter submissions have been collected for each book project – an update we promptly communicate with authors – it typically takes approximately three months for our dedicated team at the publishing houses to complete the editorial print process before circulation. This timeline accounts for necessary revisions and refinements required during production stages. We look forward to receiving your valuable contributions towards shaping these books into influential scholarly works within your respective fields. Together, let us embark on this journey of knowledge creation while upholding high standards of academic excellence and University faculties and researchers from different fields will be benefitted from publishing their chapters with the book editorials.
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9.AI, Blockchain, and Metaverse in Hospitality and Tourism Industry 4.0
Editors : Adel BEN YOUSSEF, Pushan Kumar Dutta, Ruchi Doshi, Manohar Sajnani
Publisher CRC Press
Deadline : 20th November, 2023
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We need the SEBAL Algorithms as excel sheet ,VB, C, and Python programs to work research and compare with another models, help our, please.......
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If you have SEBAL algorithm in Matlab, then there is a way to export as C code.
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Amer Salih / Iraq
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If you have a deep learning model implemented in an Excel file and you want to use it for predictions in MATLAB, you'll need to follow a few steps to ensure proper normalization and integration into MATLAB. Here's a general guideline:
  1. nderstand Normalization: Grasp how normalization is done in the Excel file, whether it's scaling input features or normalizing target outputs.
  2. Load Excel File: Import data from the Excel file into MATLAB using functions like xlsread, readtable, or importdata.
  3. Extract Parameters: Get the normalization parameters (mean, standard deviation, etc.) used in the Excel file.
  4. Normalize Input Data: Apply the same normalization process to input data as in Excel using extracted parameters.
  5. Reimplement Model: Implement the deep learning model in MATLAB using TensorFlow, PyTorch, or MATLAB's deep learning toolbox.
  6. Make Predictions: Use the model to make predictions on the normalized input data.
  7. Reverse Normalization: If post-prediction normalization was done in Excel, reverse it in MATLAB.
  8. Validation: Thoroughly validate predictions by comparing, checking metrics, and ensuring accuracy.
Remember, understanding the specifics of normalization in your Excel file is crucial for a successful integration with MATLAB for predictions.
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Hello everyone. Could someone please tell me how or where I can get the following Excel spreadsheet programs:
1) (FC–AFC–FCA and mixing modeler: A Microsofts Excel & spreadsheet program for geochemical modeling, of Yalcın Ersoy, Cahit Helvacı).
2) (AFC-Modeler: a Microsoft® Excel© workbook program for modelling, of Mehmet KESKİN).
3) (PETROMODELER (Petrological Modeler): a Microsoft® Excel© spreadsheet program for modeling melting, of Emrah Yalçın ERSOY).
I will really appreciate any help, thanks.
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I think that every SPSS software have excel spreadsheet included in it,n
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Can I estimate pore pressure, fracture gradient and mud weight window by using only excel sheet??
@microsoft office
@fracture
@reservoir
@Excel
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It is possible to estimate pore pressure, fracture gradient, and mud weight window using only Microsoft Excel. Here's a general approach:
1. Collect the necessary data: You will need well log data (such as resistivity, sonic, and density logs) and drilling data (such as formation depths, mud weight, and drilling fluid properties) for the well you are analyzing.
2. Create a new Excel spreadsheet and enter the data into the appropriate cells. Organize the data into columns and label each column with a descriptive heading.
3. Calculate the pore pressure using one of several methods, such as the Eaton method or the Bowers method. These methods use different equations to estimate pore pressure based on well log data. You can find these equations online or in textbooks on well logging and formation evaluation. Here's an example of how to use the Eaton method:
- Calculate the normal compaction trend line for the formation using the density log and the depth values.
- Calculate the overburden pressure using the normal compaction trend line and the depth values.
- Calculate the effective stress using the overburden pressure and the pore pressure.
- Use the resistivity log to estimate the water saturation.
- Use the estimated water saturation and the effective stress to calculate the pore pressure using the Eaton equation.
4. Calculate the fracture gradient using the Eaton or Matthews-Kelly methods. These methods use different equations to estimate the fracture gradient based on the pore pressure and other well data. Here's an example of how to use the Eaton method:
- Calculate the minimum horizontal stress using the pore pressure, the density log, and the depth values.
- Calculate the maximum horizontal stress using the minimum horizontal stress and a stress ratio (which can be estimated based on the formation properties).
- Calculate the fracture gradient using the maximum horizontal stress and a safety factor (which can be based on the drilling conditions and the experience of the drillers).
5. Calculate the mud weight window by subtracting the pore pressure from the fracture gradient. This will give you the range of mud weights that can be safely used for drilling.
6. Visualize the data and results using graphs and charts. You can create plots of the well log data, the pore pressure, the fracture gradient, and the mud weight window to help you analyze the data and make decisions about drilling operations.
Note that these are just general steps and there may be other factors to consider depending on the specific well and formation being analyzed. It's also important to note that the accuracy of the estimates will depend on the quality and accuracy of the data used.
Hope it helps!!
Credit: mainly AI Tools
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Hi,
How to convert excel formula into matlab code?
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Try using ChatGPT (https://chat.openai.com/), it is fairly good in doing these conversions.
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The intention is that data specific to a person should be entered/edited by only him/her. Others should not be able to edit or delete the data when online excel sheet is shared to everyone in an organization.
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There is no easy way to do that I'm afraid. However, you can protect parts of a spreadsheet with different passwords and send a password to each person. This video shows how to do it: https://www.youtube.com/watch?v=gsjNkA6lHMo&ab_channel=Excel%2CWordandPowerPointTutorialsfromHowtech
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Hello everyone
I am in an urgent requirement of excel sheet for data analysis. My experimental design is factorial RBD with single extra control. First factor has two levels and second factor has four levels. Anyone with the excel sheet for the same, please contact. Will be grateful for the help.
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It seems you are rather in an urgent requirement of a biostatistician. Seek for a local cooperation.
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I mistakenly (I still don't know how it happened) changed the password of my protected Excel document.
Is there any assistance I can get? If there is someone who can help I can send the Excel file to him or her.
Thanks
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Hello Akwasi,
Have a look at this link; it may prove helpful: https://www.wikihow.com/Open-a-Password-Protected-Excel-File
Good luck with your work.
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Hi,
I cannot find the right answer online but can we use power map excel maps for publication purposes? Thanks
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The use of Power Map in Excel for publication purposes is not explicitly discussed. However, it is important to note that the use of Bing Maps, which is integrated with Power BI and Power Map, is subject to the terms and conditions of the Bing Maps Platform APIs. These terms and conditions specify acceptable commercial purposes for prints , which include use in an advertisement, brochure, flyer, or other printed material, as long as the print is not the primary product being sold.
If you intend to use Power Map Excel Maps for publication purposes, it is recommended that you carefully review the terms and conditions of any relevant APIs or tools, and ensure that your use of the maps is in compliance with all applicable laws and regulations. Additionally, it is important to provide proper attribution and acknowledgement to any sources or tools used in your publication
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This type of study is very interesting for me.
I see that no published papers provide in supplementary materials full Excel data on crab carapace size-weight, such as: Weight, length, width, male, female etc…
I work on empirical modeling, and I want to collaborate with any Colleague to extend any relationship or to suggest novel empirical expressions, etc.
How can I get full Excel data of any published paper on crab carapace size-weight for each gender?
Any new finding will be shared with who provide me data.
Thank you in advance.
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Why in power low: W = A*size^alpha, there are different values for length or width, or males, females?
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Can I depend on excel sheet only to apply geomechanical estimations for the subsurface reservoir?
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Thank you Dr. Ahmed
regards
EL-Mahdy
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When I try to upload data from an Excel file to SPSS as usual, it says that the file contains no data and that the command has been stopped. I have searched the internet for an answer to why this occurs, but I haven't found a solution. Has anyone come across this before and can advise?
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If you're experiencing an issue where SPSS is unable to recognize data in your Excel file and the command is being stopped, there could be a few potential causes for this problem. Here are some common reasons and solutions to consider:
  1. Compatibility issues: Ensure that the version of SPSS you are using is compatible with the version of Excel you are using. It's possible that newer versions of Excel may have changes in file formats that SPSS doesn't support. Try saving the Excel file in an older format (e.g., .xls instead of .xlsx) and see if SPSS can recognize the data.
  2. Incorrect file format: Verify that you are selecting the correct file format when importing the data into SPSS. Make sure you are choosing the appropriate Excel format option (.xls or .xlsx) that matches your file.
  3. Empty worksheet or wrong sheet selection: Check if the Excel file you're trying to import contains data in the selected worksheet. SPSS may display an error if the selected worksheet is empty. Ensure that the worksheet you're selecting contains the actual data.
  4. Data range selection: Double-check that you are specifying the correct range of cells containing the data in the Excel file. It's important to accurately define the range to import the data properly.
  5. Special characters or formatting: Remove any special characters or formatting from your Excel file, such as merged cells, formulas, or unusual data types. SPSS may struggle with such elements and could fail to recognize the data.
  6. Software or system issues: If none of the above solutions work, there could be an issue with your SPSS installation or your system. Try reinstalling or updating SPSS to the latest version. Additionally, ensure that your system meets the necessary requirements for running SPSS.
If none of these solutions resolve the problem, it might be worth reaching out to SPSS support or consulting with a technical expert who can analyze the specific error message or provide further assistance based on your system and software configuration.
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I was trying to generate a figure based on the concentration vs absorbance. I have the absorbance from 4 fractions. All the values are numeric. I was trying to convert it into factor but it appeared as error like this -
data = read_excel("df.xlsx", StringsAsFactors = TRUE)
The output was
Error in read_excel("df.xlsx", StringsAsFactors = TRUE) : unused argument (StringsAsFactors = TRUE)
My questions are-
1. Do I need to convert the numeric value as factor for plotting?
2. Which argument should I use to plot multiple Fractions against the concentration?
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That's correct. Basically you'll add the error bars to all the points in your above plot.
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We are seeking an expert group to collaborate on glycomics. Could anybody help and be part of an excellent research project.
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@DT: Registering interest on behalf of my research group.
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Good Evening,
Could you please help me, i need a software to make a calculation using the Analytical Network Process method. Thank you in advance.
Best regards
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I'm not sure if this is what you're referring to, but in the R, there is a package ahpsurvey that is used for performing Analytic Hierarchy Process (AHP) analysis: https://cran.r-project.org/web/packages/ahpsurvey/ahpsurvey.pdf
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Hello, I am trying to export the results generated within MAUD to Excel.
Thanks in advance for your time. Hope this question will be of help to other researchers.
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The steps are:
  1. Go to Graphics at top left corner
  2. Plot selected Dataset
  3. Go to Tools
  4. Export experimental'/computed data
Enjoy!
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Can you please provide guidance on performing sensitivity analysis in Fuzzy AHP using Excel?
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Saaty, the creator opf AHP stated in writing that you can't use fuzzy in AHP, because the latter is already fuzzy
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When we want to measure the validity of a questionnaire, we usually measure by Lawshe formula- CVR & CVI. I want to know that if anyone has an Excel computing file for measuring the validity of a questionnaire.
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.txt data file of Collision from SRIM is a very large file and I am struggling to export the data to excel. Plesae suggest me how to export .txt data file of Collision from SRIM Program to excel to plot the graph?
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To export a large .txt data file of collisions from SRIM Program to Excel for graph plotting, you can follow these steps. First, open Excel and create a new workbook. Then, open the .txt file in a text editor or Excel itself. If the file is too large to open directly in Excel, you can try using a text editor to split it into smaller, manageable chunks. Once you have the file open, select and copy the data you want to export. In Excel, select the cell where you want to paste the data and use the "Paste Special" function to paste the values as text or CSV. This will ensure that the data is correctly formatted in Excel. Finally, you can use Excel's charting features to create a graph based on the imported data.
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How does one succeed in balancing leadership, scholarship, career, family, and faith simultaneously? Oftentimes, individuals excel academically or professionally but face challenges when it comes to their family life or combining their faith with their career. How can these obstacles be overcome?"
This is a common concern for many individuals striving to maintain a harmonious equilibrium among these important aspects of life. While it may seem daunting, achieving success and fulfillment in each area is indeed possible with the right approach and mindset.
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One approach to balancing leadership, scholarship, career, family, and faith simultaneously is to prioritize and plan accordingly. This involves setting clear goals and boundaries for each area and making sure that they align with your overall values and priorities. It also involves being flexible and adaptable, as unexpected events and challenges may arise.
Another important aspect is effective time management and delegation. This means identifying and focusing on your most important tasks and responsibilities, and delegating less crucial ones to others when possible. It also means being mindful of time-wasters and distractions, and making sure to allocate enough time for self-care and rest.
It is also important to seek support and guidance from others, whether it be from family, friends, mentors, or colleagues. This can involve openly communicating your needs and concerns, and being willing to ask for help and advice when needed.
Ultimately, success in balancing leadership, scholarship, career, family, and faith simultaneously requires a combination of dedication, discipline, and self-awareness. By staying focused, prioritized, and motivated, one can overcome the obstacles and achieve fulfillment in all areas of life.
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In a Discrete choice experiment, we have heterogeneity for one of the attributes. How can I create a marginal utility plot for this attribute in Excel? by creating a probability density plot in Excel? The attribute is a normal random parameter.
(This plot shows when the proportion of our population having a certain Part-Worth Utility is greatest.)
(The Norm.Dist function doesn't give the probability density.)
Thank you in advance.
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To create a probability density plot for a normal random parameter in Excel, you can follow these steps:
1. Generate a range of values for the attribute: Create a column in Excel with a range of values that cover the relevant range for the normal random parameter. For example, you can have a column with values ranging from the minimum possible value to the maximum possible value for the attribute.
2. Calculate the probability density for each value: In an adjacent column, use the NORM.DIST function in Excel to calculate the probability density for each value. The NORM.DIST function requires inputs for the value, mean, and standard deviation. Use the mean and standard deviation of the normal distribution that represents the random parameter.
3. Create a line plot: Select the range of values in the first column along with the corresponding probability density values in the second column. Then, go to the "Insert" tab in Excel and choose a line plot or scatter plot to visualize the data. Excel will create a line plot with the range of values on the x-axis and the probability density values on the y-axis.
4. Customize the plot: Format the plot as desired by adding axis labels, a title, and adjusting the appearance of the plot elements. You can also add gridlines or change the line style and color to enhance the plot's visual presentation.
By following these steps, you can create a probability density plot in Excel to visualize the marginal utility or heterogeneity associated with the normal random parameter in a discrete choice experiment. Remember to use the appropriate mean and standard deviation values based on your specific parameter and dataset.
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Hi,
I am working on Modified Mann Kendall trend tests for monthly data sets from 1970 - 2019. I applied the code as indicated below for a single column and obtained results, but if I need to run the same function for a file with multiple columns, having data for all months, how do I run it? Can anyone help me with the code ?
sf=read_excel("07356000 Max.xlsx",17) > x=sf$December > mmkh(x,ci=0.95) Corrected Zc new P-value N/N* Original Z old P.value Tau -9.954529e-01 3.195160e-01 1.000000e+00 -9.954529e-01 3.195160e-01 -9.795918e-02 Sen's slope old.variance new.variance -4.727273e+01 1.429067e+04 1.429067e+04
Regards,
Meena Raju
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To perform the Modified Mann-Kendall trend test on a dataset with multiple columns in R, you can follow these steps:
  1. Load the required R packages:
RCopy codelibrary(trend)
  1. Prepare your dataset: Make sure your dataset is in a suitable format, with each column representing a variable and each row representing an observation.
  2. Apply the Modified Mann-Kendall test to each column:
RCopy code# Assuming your dataset is stored in a data frame called 'data' # Loop over each column in the data frame for (col in names(data)) { # Extract the column data column_data <- data[[col]] # Perform the Modified Mann-Kendall test mk_result <- trend.test(column_data, alternative = "two.sided", method = "modified.mk") # Print the result cat("Column:", col, "\n") cat("Modified Mann-Kendall Test Statistic:", mk_result$statistic, "\n") cat("p-value:", mk_result$p.value, "\n\n") }
In the code above, the trend.test() function from the trend package is used to perform the Modified Mann-Kendall test for each column. The alternative = "two.sided" argument indicates a two-sided test (you can also use "greater" or "less" depending on your hypothesis). The method = "modified.mk" argument specifies the Modified Mann-Kendall method.
The results will be printed for each column, including the test statistic and the p-value.
Make sure to install the trend package if you haven't already by running install.packages("trend") in R before proceeding with the code
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I have export the Silvaco log file into Excel, i have also set up follow the current setting, but how do i know what value belong to it , Only Source, Gate,Drain is label , other i have no idea. Im here to create DIBL,subthreshold and peak sensitivity by using the Excel.
Setting of Excel i have follow as this Video in Youtube, but in the end of the video there is language barrier that i cant understand.
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Which parameters you are going to export? Log file contain several data. If you need only specific value, for example drain current, gate voltage, then first plot it in tonyplot and then export it as CSV file. The process can be automated using extract command in deckbuild also.
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Hello every one
I have problem pasting some numbers in word or excel 2010 which are coped from the frequency output in gaussian, when it pasted, it had a column format which wasted lots of time to organize them same as the attached picture as I show you. Does any body know how to paste them in an order which they stand together with comma. I tried some formulas.
but it gives errors.
I will be very thankful
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It works
Thank you very much
God bless you
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The oil and gas industry has a tremendous opportunity to harness the capabilities of analytics to optimize operations, improve decision-making, and drive significant business value. Lets discuss and aims to explore the diverse applications of analytics in the oil and gas industry and discuss how organisations can leverage these capabilities to achieve operational excellence.
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"Leveraging Analytics for Operational Excellence in the Oil and Gas Industry" is a topic that focuses on the application of analytics in the oil and gas sector to achieve operational excellence. The oil and gas industry is complex and involves various processes, including exploration, production, refining, and distribution. Analytics can play a significant role in improving efficiency, reducing costs, optimizing operations, and enhancing decision-making in this industry.
Here are some potential areas where analytics can be leveraged for operational excellence in the oil and gas industry:
1. Predictive Maintenance: By analyzing sensor data and historical maintenance records, analytics can help identify patterns and predict equipment failures. This enables proactive maintenance, reducing unplanned downtime and optimizing maintenance schedules.
2. Asset Optimization: Analytics can be used to optimize the performance and utilization of assets such as drilling rigs, production platforms, and refineries. By analyzing data on asset performance, production rates, and maintenance history, operators can identify opportunities for improvement and make data-driven decisions to optimize asset utilization.
3. Supply Chain Management: Analytics can provide insights into supply chain operations, including inventory management, demand forecasting, and logistics optimization. By analyzing data on supply and demand patterns, transportation routes, and storage capacities, companies can optimize their supply chain processes and ensure efficient delivery of products.
4. Safety and Risk Management: Analytics can help identify potential safety risks and mitigate them proactively. By analyzing data on safety incidents, near-misses, and operational parameters, companies can identify trends, assess risks, and implement measures to improve safety performance.
5. Energy Efficiency and Environmental Impact: Analytics can help optimize energy consumption and reduce environmental impact. By analyzing energy usage data and operational parameters, companies can identify opportunities to improve energy efficiency, reduce emissions, and comply with environmental regulations.
It is important to note that leveraging analytics for operational excellence in the oil and gas industry requires data collection, integration, and analysis capabilities, as well as skilled data scientists and domain experts. Data privacy and security considerations also need to be addressed to ensure the confidentiality and integrity of sensitive information.
Overall, the use of analytics in the oil and gas industry has the potential to drive operational excellence, improve productivity, reduce costs, enhance safety, and minimize environmental impact.
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I need to evaluate the cooling demand of a building, and so I need some informations (as wall temperature Inside/outside, sensitice heat transmission coefficient, etc...).
I know i can export the values corresponding to a single element of the facade, but is it possible to have every elements of a building in the same Excel file ? Or the average values for a facade ?
Actually, I'm wondering if there is an other way to calculate the cooling demand of the building ??
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Have you found a way to answer your question? Please let me know that I'm having the same problem, thank you.
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how to measure job excellence
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Hi Dr. David
Thank you for quick response and I was honored by your response .
I am phd researcher in business administration , and the research topic of thesis with job excellence for employees in organizations , therefore , I am looking for copies or abstracts of previous academic studies related to the topic of career excellence (job excellence) and how to measure this variable (career excellence) by obtaining measurements dimensions .
finally I will be happier if I receive your scientific help .
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I have a dataset of patients with ESRD and want to estimate GFR using the 2021 CKD-EPI formula.
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Hello Dineo
Here attached the code to calculate eGFR according to the CKD -EPI 2021
gen eGFR01 = .
replace eGFR01 = 142 * (PreopCreatinine/0.9)^(-1.2) * 0.9938^Ageatdx if SexM1==1 & PreopCreatinine > 0.9
replace eGFR01 = 142 * (PreopCreatinine/0.9)^(-0.302) * 0.9938^Ageatdx if SexM1==1 & PreopCreatinine <= 0.9
replace eGFR01 = 142 * (PreopCreatinine/0.7)^(-1.2) * 0.9938^Ageatdx * 1.012 if SexM1==0 & PreopCreatinine > 0.7
replace eGFR01 = 142 * (PreopCreatinine/0.7)^(-0.241) * 0.9938^Ageatdx * 1.012 if SexM1==0 & PreopCreatinine <= 0.7
best regards.
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Hi, I am currently writing my master thesis on early indicators of bank failure. For this I have calculated probability of default as my dependent variable and have around 15 different financial ratios as explanatory variables, I have also included two measures of interest sensitivity as possible independent variables.
My data consists of 125 companies over 20 years. I'm using STATA and need help with how I should format my data from excel. I'm also unsure of which kind of regression is best suited for my data. I've tried reading Econometric Analysis of Cross Section and Panel Data by Woolridge but I'm feeling a bit lost.
Attached is the Excel file.
Thank You for the help!
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Panel data regression, also known as fixed-effects regression, is a statistical method used to analyze data that vary over both time and cross-sectional units. This method is appropriate for data where we have repeated observations of the same individuals, firms, or countries over time.
In fixed-effects regression, we control for time-invariant differences across cross-sectional units by including individual-specific effects as fixed effects in the regression model. This helps to remove any confounding factors that might affect the dependent variable but do not vary over time.
To format panel data for STATA, you need to use the "reshape" command to convert the data from a wide format to a long format. The long format has one row per observation and includes variables for the individual or entity ID, the time period, and the dependent and independent variables.
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I´m trying to export a large dataset til excel (2011) as a xlsx-file on my Mac:
export excel using "/Users/mbg/Documents/ANA/Test.xlsx", firstrow(variables) but get this error:
_xlshwritestrcol(): 9901 Stata returned error
export_excel_write_file(): - function returned error
export_excel_export_file(): - function returned error
<istmt>: - function returned error
Any suggestions of how to solve this ?
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Exporting as CSV worked. Thanks! Do you know why this problem occurs
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Hi,
Hope all of you are doing well. I have created a series of videos on Excel which starts from basics and covers advanced topics also. I am sharing link for your reference. Hope you will find it useful for your students. Here is link :
Please review and give me feedback also.
regards
Dr. Rupesh Kumar Sinha
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Please use this link! Let me know, what topic you want me cover! I will do that!
regards!
Dr. Rupesh Kumar Siha
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I need to implement it so that it is not subject to human correction alone.
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From my experience, this could be done in about 7 steps:
  1. Determine the problem you want to solve with AI: AI can be used for a variety of tasks in Excel, from data analysis to predictive modeling. Before you begin, it's important to identify the specific problem you want to solve and how AI can help.
  2. Choose an AI tool or add-in: Excel has several AI tools and add-ins available, such as the Azure Machine Learning add-in or the Power Query tool. Choose the one that best fits your needs and expertise.
  3. Prepare your data: AI requires clean and well-organized data to work effectively. Make sure your data is formatted properly and free of errors or inconsistencies.
  4. Train your AI model: Depending on the AI tool you choose, you may need to train your model using a set of data. This will help the model learn and make more accurate predictions or analyses.
  5. Deploy your AI model: Once your model is trained, you can deploy it in your Excel spreadsheet. This may involve using an add-in or integrating with other tools, depending on the specifics of your project.
  6. Test and refine your model: After deploying your AI model, it's important to test it thoroughly and refine it as needed. This may involve tweaking parameters, adjusting data inputs, or updating the model based on new data.
  7. Monitor and update your model: AI models require ongoing monitoring and updating to stay accurate and effective. Make sure to regularly review and update your model as needed to ensure it continues to meet your needs.
Overall, deploying AI in an Excel spreadsheet requires a combination of technical expertise, data preparation skills, and problem-solving abilities. With the right tools and approach, however, AI can help you unlock valuable insights and make more informed decisions in your work. I hope this works out for you. Good luck. However, you may also want to look into Python.
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When it comes to democracy: "[w]hat are the purposes of definitions? Are definitions enough? How much can we understand from a definition? And how can we give voice to the people these definitions are about?"
These excellent questions are posed by Friedel Marquardt in her essay here: https://theloop.ecpr.eu/who-gets-a-say-in-the-meanings-of-democracy/
Marquardt's answer to the first question is that: "The definitions of democracy capture a manifestation of it within a particular context and community."
The next question is what the good aspects and bad aspects of this outcome are. For example, relying on texts can give us the capacity to capture more information about democracy. But, relying only on texts leaves out so very much information as Marquardt, Hans Asenbaum, and Hilary Gopnik make clear.
What do you think?
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The purpose of a definition is to provide clarity and precision in language, particularly in specialized fields where terms have specific meanings. By defining key terms and concepts, we can avoid misunderstandings and ensure that everyone is on the same page when it comes to discussing a particular topic.
However, definitions are not always enough to fully understand a concept or idea. While they provide a starting point, they do not necessarily capture the nuances and complexities of a given concept or the ways in which it is experienced by different people. In order to truly understand a concept, it is often necessary to explore it in greater depth, through discussion, research, or lived experience.
In addition, it is important to recognize that definitions can be limiting in their scope and perspective. In order to give voice to the people these definitions are about, it is important to incorporate diverse perspectives and lived experiences into our discussions and definitions and to actively seek out and listen to those whose voices may not have been traditionally included as long as it is in context.
While definitions serve an important purpose in providing clarity and precision in language, they are not always enough to fully understand a concept or idea. To truly understand and give voice to the people these definitions are about, it is important to explore diverse perspectives and lived experiences and to actively incorporate these into our discussions and definitions.
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If I have 10 EVs samples data from NTA, I would like to run two groups t tests in prism for size, concentration and number of EVs, the thing is that, the raw data from NTA is too big for each sample analysis! which data from the Excel sheet should I use to put in prism?
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Thank you, I'm using the average for the mean for each sample
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Good day
When plotting the bandgap in Excel using the espresso.band2.gnu the eV are plotted at a higher level than the eV that Burai 1.3 GUI for Quantum Espresso plots. It seems like the whole plot is shifted down by almost 10eV when QE plots it compared to me plotting it in Excel (using QEs band data). I cannot seem to figure out why that would be the case.
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Is it possible that Burai scales the energy with respect some value, e.g., the Fermi energy or the HOMO energy?
Also do remember that absolute values are meaningless, only energy differences matter.
Regards,
Roberto
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I'm trying to understand how theoretical powder XRD patterns are calculated in VESTA. I figured one way to learn that without the computer programming based nuances is to just do it in Excel.
If anyone knows of any links to where this has been done before or links to material for it, please answer.
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Thousands of good researchers and excellent consultants are available in the world,but without good use for leading economy ,as politician's are dominating economy,why most countries still not using scientists to lead economy?
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Despite the important case of https://en.wikipedia.org/wiki/Long-Term_Capital_Management as bad example, the following thoughts may apply to your query: economics is about production, politics is about distribution. Science today is used for production, but politics is about the power structure and dominating moods in a certain population. In this sense, politics is closer to rhetoric, while economics is closer to logic.
————
There is nothing in the world more stubborn than a corpse: you can hit it, you can knock it to pieces, but you cannot convince it.
Alexander Herzen
As long as politics is the shadow of big business, the attenuation of the shadow will not change the substance.
John Dewey
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Sometimes I do it by graphing in Origin or in excel and I analyse like that, but if there are other tools it is interesting to know them.
Thank you very much for your help.
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When I am generating correlation matrix in excel, let us say the output is matrix A. But from the same data set I am getting matrix B in SPSS with confidence interval. Here, both the matrix are different. Although, some of the values have high error, eg. -0.4 and 0.7. If there is any relevant literature then also let me know. Thank you.
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See basics of Statistics or Econometrics
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I am entering my final year of a Bachelor of Science degree program in the field of Statistics. I am proficient in the computer programs Excel, IBM SPSS, and R programming.
Please let me know about any potential opportunities you may have for me.
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you're a gem! best wishes Ashiqur Rahman Rony
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I love ResearchGate! I think you are doing a wonderful job, and I love getting reports on reads/citations/etc of my articles. I understand why you wanted to discontinue Projects, but that raises a question I had been meaning to ask you for a while now.
Most of my work is computational and I generated new computer code for most of my projects. I am making my code available freely via GitHub. I was wondering if there is any way for me to provide a link to the code associated with my articles on ResearchGate.
In general, I think ResearchGate would be even more useful to scientists if associated information (especially code or data) could be linked to articles on your excellent platform.
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Thank you for your informative response Artur Sergyeyev Mostafa Sameer
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I have gathered data from 60 companies, across 5 years.
I want to do a Multiple Linear Regression Analysis with some variables, from 2017 to 2021.
1) Should I do the average of the 5 years for each variable for each company, and do the regression, having 60 observations, or
2) Should I threat the data as individual points, meaning observations = n*5 = 300
How do I display that information (colums and rows), on the excel sheet (if option 2)?
Thanks a lot
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Do not average, but use a multi-level model with company-level random effects. Also, you should examine how time itself influences your outcome directly. In one of the R regression engines (lme4, rstanarm, brms), the model would look like this:
outcome ~ 1 + time + pred_1 + pred_2 + (1 + time + pred_1|Company)
In this model, all companies get their own slope over time. Pred_1 is also estimated on populatio-level and per individual company. Pred_2 is an example of a pure population-level effect (aka fixef effect). That is useful for predictors that do not vary within one company, such as the country of residence.
To estimate multi-level models, you'll have to bring your data into long-format (one outcome measure per row), e.g.:
CompID | Pred_1 | Pred_2 | time | outcome
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Need to stack them to clearly identify the spectra. I've converted from OMNIC CSV file to excel.
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Aaron Dudley Microcal Origin, QtiPlot or Spectragryph are all better alternatives when handling spectra.
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Dear all, I am working on climate change impact;
and I couldn't get Matlab code to convert the NC file of CMIP6 to excel
is there anyone to help me?
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In python using xarray library
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Is it worth searching
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Good morning Saad abd Aaber. I can't read the answer above. Depends how you define excellence. Within an organisation maybe it relates to adequate staff, adequate resources, adequate infrastructure, adequate legislation, an absence of bullying, intimidation. There are many variables.
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Dear Colleagues,
Greetings!
I am doing an analysis with large data. Regarding this, I am having the following questions:
1. The value should be increased day by day - If any decreases, it should be identified.
2. For identified ones, it should be calculated with highest decrease.
I have attached the excel data. Please suggest suitable tool or software to conduct the analysis.
Thanks in advance.
Dr. B. Elango
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Using an R script, for each row, one can look for the maximum decrease.
In attachment 'loop.R' is the script in which there is a loop through all rows to search this 'target'. The data have been converted to a R data set 'data_elango.Rda' with the script 'elango_CSV.R. Th results are in 'results.txt'.
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How biodiversity and sustainable agriculture are excellent strategies for improved food security and how is global climate change a threat to biodiversity?
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In the present scenario, sustainability in agriculture is due to the fact that the recent achievements in agriculture, which have led to major improvements in productivity that have enabled food production to keep up with population growth, have often come at high social and environmental costs. With growing population, depleting resources and the increasing threat of climate change, it will be impossible to fulfill the needs of the future unless we transition to sustainable food and agricultural systems that would ensure world food security, provide economic and social opportunities, and protect the ecosystem.Biodiversity supports the livelihoods of food producers while also reducing negative impacts on the environment. By providing important ecosystem services, like pest control and nutrient cycling, biodiversity reduces the need for costly and harmful external inputs. Sustainability in agriculture is due to the fact that the recent achievements in agriculture, which have led to major improvements in productivity that have enabled food production to keep up with population growth, have often come at high social and environmental costs.Climate change has altered marine, terrestrial, and freshwater ecosystems around the world. It has caused the loss of local species, increased diseases, and driven mass mortality of plants and animals, resulting in the first climate-driven extinctions. Climate change further poses a challenge to food security challenges with its influence on food production, costs, and security. Excessive heat or shortage of water can impede crop growth, reduce yields, and influence irrigation, soil quality, and the ecosystem on which agriculture depends.
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Hello
I have the geochemical data of the XRD and ICP analysis of the lake sediments and have to draw a graph to analyze them. I think Excel charts are not very attractive. What other software can I use?
thanks
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I would recommend GCD kit for plotting various geochemical plots.
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For the same set of data, e.g.
x1=1, y1=3
x1=2, y1=2
x1=3, y1=1
  1. calculated by r2_score:
''' from sklearn.metrics import r2_score
r2_score([1,2,3], [3,2,1])'''
the result is -3
2. plot graph in excel -- add a trendline -- right-click on your trendline -- Format Trendline --
(1) if select the checkbox next to "Set Intercept = 0.0", the r2=-2.429
(2) if deselect the checkbox next to "Set Intercept = 0.0", the r2=1
3. linear regression in spss:
the r2 and adjusted r2 is 1
Why do the same set of data get different R2 calculated by three methods?