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In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources taken from online scientific knowledge bases, online scientific portals and online indexing databases of scientific publications?
I'm curious to know what you think about this? This kind of solution based on an intelligent publication search system and an intelligent content analysis system of retrieved publications on an online scientific portal could be of great help to researchers and scientists. In my opinion, the creation of a new generation of something similar to ChatGPT, which will use databases built solely on the basis of online scientific knowledge bases, online scientific portals and online scientific publication indexing databases makes sense if basic issues of copyright respect are met and such tools use continuously updated and objectively and scientifically verified knowledge, data and information resources. With such a solution, researchers and scientists conducting research on a specific topic would have the opportunity to review the literature within the millions of scientific publications collected on specific online scientific portals and scientific publication indexing databases. Besides, what is particularly important, the mentioned partially automated literature review would probably be realized in a relatively short time. Thus, an intelligent system for searching and analyzing the content of scientific publications would, in a short period of time, from among the millions of texts archived in specific scientific publication indexing databases, select those publications in which other researchers and scientists have described analogous, similar, related, correlated, related, etc. issues, results of scientific research conducted, selected publications within the same scientific discipline, the same topic or in the interdisciplinary field. Besides, an intelligent system for searching and analyzing the content of scientific publications could also categorize the retrieved publications into those in which other researchers and scientists confirmed analogous conclusions of conducted similar research, polemicized with the results of other researchers' research on a specific topic, obtained other results from conducted research, suggested other practical applications of obtained research results realized on the same or similar topic, etc. However, for ethical reasons and properly conducted research, i.e., respecting the research results of other researchers and scientists, it would be unacceptable for this kind of intelligent system for searching and analyzing the content of many publications available on specific databases for indexing scientific publications to enable plagiarism, i.e., to provide research results, provide retrieved content on specific issues and topics, etc., without accurately providing the source of the data, description of the source data, names of the authors of the publications, etc., and some unreliable researchers would take advantage of this opportunity. This kind of intelligent system for searching and analyzing the content of scientific publications should give for all searched publications full bibliographic descriptions, source descriptions, footnotes containing all the data that are necessary to develop full source footnotes for possible citation of specific studies, research results, theses, data, etc. contained in other publications written by other researchers and scientists. So, building this kind of intelligent tool would make sense if ChatGPT-type tools were properly improved and the system of laws for their use appropriately supplemented so that the use of ChatGPT-type tools does not violate copyrights and that these tools are used in accordance with ethics and do not generate misinformation. Improving these tools so that they do not generate disinformation, do not create "fictitious facts" in the form of descriptions, essays, photos, videos, etc. containing nicely described, presented never and nowhere seemingly facts is to keep Big Data systems updated, update data sets and information, based on which they create answers to questions, create descriptions, photos, companies and so on. This is important because current online tools like ChatGPT often create "nicely described fictitious facts," which is used to generate fake news and misinformation in online social media. When all that I have written above would be corrected and the use completed, and not only in some parts of the world but on a global scale, then the creation of a new generation of something similar to ChatGPT, which will use databases built solely on the basis of online scientific knowledge bases, online scientific portals and online indexing databases of scientific publications would make sense and could prove helpful to people, including researchers and scientists. Besides, the current online ChatGPT-type tools are not perfect, as they draw data not directly in real-time online from specific databases and knowledge contained in selected websites and portals, but draw information, knowledge, data from an offline database created some time ago. For example, currently the most popular ChatGPT still relies on a database of data, information, etc. contained in many publication texts downloaded from selected websites and web portals but not today or yesterday downloaded only in 2021! So these are data and information already outdated on many issues. Hence the absurdities, inconsistencies with the facts, creation of "fictitious facts" by ChatGPT in a significant part of the answers generated by this system to questions asked by Internet users. In view of the above, in a number of issues, both technological, organizational, formal, normative, etc., such intelligent systems should be improved so that they can be used in open access in the applications I wrote about above.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources taken from online scientific knowledge bases, online scientific portals and online indexing databases of scientific publications?
What do you think about creating a new generation of something similar to ChatGPT, which will use exclusively online scientific knowledge resources?
And what is your opinion about it?
What is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
Copyright by Dariusz Prokopowicz
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IHMO this is the only sane way to use Large Language Models (LLMs) like ChatGPT. The idea that computer programs like ChatGPT can replace inter-human communication must be fought by all means, if necessary, through legislations.
Lately a guy in France killed himself, because ChatGPT advised him that suicide was the best way to reduce his carbon footprint .... do we need more of this ? IMHO: NO!
Remember that Artificial Intelligence has nothing to do with "intelligence" - it is a computer program which can repeat, interpolate and extrapolate known information.
AI is incapable of ANY kind of "thinking" including any kind of critical thinking.
Since LLMs only know what they are told, it is very easy to make them biased, by only teaching the information that the owner of the LLM wants repeated to the public.
Information from the current generation of LLMs comes without any kind of source information and is hard to verify. In many situations the generalizations made by the LLM are outright wrong. The lack of ability to know or verify the sources of information makes LLMs useless in most kinds of research. Even if the LLM is supplied with all relevant information (text) by the user, and asked to generalize that information, the result will often be wrong. Using LLMs is like having a pocket calculator, but you still need to check all the calculations by hand, because some of the results of the calculator can be wrong...... <- actually a good analogy.
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Are you an international researcher? I have started a new project with my dear colleague, Phelipe Magalhães Duarte and Sara Khosravipour , on the topic of CCHF. If you think you have high potential for this research, don't waste time and send your CV by email. Email: sina.salajegheh@gmail.com
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An important question, I am waiting for the answer, too....
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if blood can't describe the solution to the problem, is science qualified to comment?
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Dear Doctor
"ResearchGate is a social networking site for scientists and researchers to share papers, ask and answer questions, and find collaborators. ResearchGate has over 5 million members in 193 countries. It was designed by and specifically for scientists, to meet their diverse needs, and is touted as Facebook for academics. Membership is free but is restricted to working scientists and academics (you need an academic institution email address). The major disciplines represented in ResearchGate are biology, medicine, computer science, physics, and chemistry.
Researchers like using research gate to be found, find others and share their work. This is one place that your work will definitely be found by potential collaborators and researchers that would like to cite your work."
So on my own view yes ResearchGate.net (Social Media) have a legal right to censor to let all rights be preserved.
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Salam & Hello
Has scientific publication become the ultimate goal, overshadowing the true purpose of research, which is to propose solutions and alternatives to real-world problems?
Regards,
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Salam,
"Has scientific publication become the ultimate goal..."
Not only ultimate goal, but also the main source of many sort of corruption in the world of academia. And I don't say this corruption threaten us, but has struck us all over the world for years. Simply almost everyone from students to professors want published items.
I have talked in detail about it in other discussions, this is a piece from one of them:
"They only want papers, published ones, in top journals, international ones. It is a full scale race, I call it paper rush (after gold rush) in all continents, countries, cities and universities. Those so called university rankings that again are the phenomena of internet age, added problems to this dilemma. They are also appearing like mushrooms, every several months via a search or by a piece of research or so called piece of research we hear about a new "comprehensive" univ ranking system. We are entering the situation that now even universities want to have their own univ ranking for all over the world. Some saying that this one or that one ranking is biased or some thing like this. Several people sit in a room, calling it the headquarters, making several tables, , copying a loose and weak method or idea behind other univ ranking systems (that themselves have many problems) and searching the web, easily get a URL and uploading what they want. Manipulating what ever they want. Doing what ever they want, in the name of science! Who sees them? all, you and all of us know.
Innocent young people see them and think this or that university is the best, those officials in this or that univ see them, and show off their place and ranking it that univ ranking, those univs which don't have a good or acceptable place in this or that ranking, wont discourage, they search and find the ranking that show their place as a good one or excellent one. All fails? put more pressure on all those involved, from students to professors to publish. Want tenure? publish, want to graduate? publish, want to start a job in the world of academia? publish, want to be a member of the hall of science fame? publish...
In this line of rush or race, publishers also see every thing, better than all of us. They know their supreme powers over us, now.
We are not in the age of "The World of Learning", ISI and even ugly "publish or perish" culture anymore, we are in the age of paperdemic, age of full scale plagiarization, data fabrication, fraud, and misconducts known up to now in the history of science, all are hidden as far as possible up to the time that they Fall out from behind the curtain. That is why as a part, the database of "retraction watch site" is updated daily or several time a day.
The publishers of the world of science that know how the world of academia is thirsty for publications, know to play chess, know how to move and act in this profitable world wide market. It is a cat and mouse game, but unfortunately we in the world of academia are not as lucky as Jerry that used to win over Tom. It is a reality that in all cases the real meaning of the cat and mouse game is applicable to us! So we all witnessing the goal of science is not better life for the human, but the ultimate goal is to see ones manuscript published!
You talked about hundreds or thousands of USD, when it is a noticeable sign of warning for you (in US), imagine what pain people are bearing in countries that the highest salary for a full prof is just several hundred USD per month.
There are many cases that people have to get big loans from banks and pay instalments for several years with big interest rates, just to pay the expenses of publishing their papers, unfortunately many of them useless, or even harmful but as money is involved, journals, whether the real ones or predatory , publish them, and now the other part of problem starts.
What is it? Those with their published papers move up the rank in the world of academia, take scientific posts, occupy editorial and managerial posts, thinking that they know every thing about science and advancement of science, make the other believe that they are experts, then doing the same to others (future/would be students, lower rank academic staff, ...) and this is what we can call it "Vicious cycle". That is why I say we are in a real cat and mouse game!"
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How should ChatGPT technology be improved and how should copyright legal norms be revised so that the continued development of different solutions, generations etc. of artificial intelligence technology and its new applications is not a problem for the development of science, scientific research, describing and publishing research results, etc. just to support the development of science?
The research shows that the development of artificial intelligence technology and its new applications, including the technology of the ChatGPT intelligent language model made available on the Internet, is currently proceeding at a much faster pace in terms of adapting legal norms to the new situation of rapidly developing new applications of this technology. In addition, the developing new applications of the artificial intelligence solutions available to Internet users generate not only positive aspects. For example, there are already numerous situations of disinformation on social media using photos, texts and videos generated by certain artificial intelligence solutions available on the Internet. In addition to this, the possibility of generating the texts of articles and essays using the ChatGPT language model available on the Internet, which does not show data sources, source publications or bibliography footnotes, generates a serious problem of violation of basic copyright issues. In addition, the ChatGPT-generated texts do not contain information indicating whether they are entirely the product of artificial intelligence creativity or whether they are, however, texts produced by 'assembling' them by combining paragraphs and assignments borrowed from other Internet-accessible publications, articles, book texts, etc., which were added to the database used by ChatGPT in 2021 after being downloaded from the Internet. This problem could also apply to the many other artificial intelligence solutions available on the Internet capable of generating images, videos, innovations, patents, computer software, new drugs, technical designs, artistic works, etc. It is therefore also necessary to build a digital labelling system for the various "works" created by artificial intelligence in order to distinguish them from what is directly created by humans. In addition to this, the improvement of such creative artificial intelligence systems should also address the issue of the automatic display of data sources, reference publications, annotated bibliographies and the elimination of the possibility of plagiarism in this way. It is also necessary to adapt the legal norms in the field of copyright law and, for example, also tax law relating to the issue of taxation of work carried out by artificial intelligence replacing humans in certain positions in companies and enterprises. In addition, other issues that require adaptation of legal norms to the current situation of different applications of artificial intelligence are how to solve the issue of authorship and gratification for "works" created by a robot or other machine equipped with an artificial intelligence system, when an intelligent robot has been produced by one company and another company has purchased it, and it is within the latter company that the AI-equipped robot has created certain "works" such as photographs, films, innovations, patents, computer software, new medicines, technical designs, artistic works, etc., which have been created by the robot. In view of the above, it is obvious that the development of artificial intelligence should develop in such a way that it does not get out of hand. This means, for example, that ChatGPT technology should be improved and legal norms regarding copyright should be amended so that the continued development of various solutions, generations, etc. of artificial intelligence technology and its new applications is not a problem for the development of science, scientific research, describing and publishing research results, etc., but only supports the development of science.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How should ChatGPT technology be improved and how should copyright legal norms be revised so that the continued development of various solutions, generations, etc. of artificial intelligence technology and its new applications is not a problem for the development of science, scientific research, describing and publishing research results, etc. only to support the development of science?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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In connection with the above issue, it is necessary to build a system for labeling all kinds of creations, products, works made by artificial intelligence so that every user of certain goods, including publications created by artificial intelligence and available, among others, on the Internet, will know that this thing was created by artificial intelligence. In addition to this, it is necessary to create automated, standardized, reliable, etc. systems that accurately demonstrate the sources, footnotes, authorship of the various parts of a given work, which was created by an artificial intelligence, which in the course of creating a specific work combined various creations of human creativity.
What do you think about this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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By combining the technologies of quantum computers, Big Data Analytics, artificial intelligence and other Industry 4.0 technologies, is it possible to significantly improve the predictive analyses of various multi-faceted macroprocesses?
By combining the technologies of quantum computers, Big Data Analytics, big data analytics and information extracted from e.g. large numbers of websites and social media sites, cloud computing, satellite analytics etc. and artificial intelligence in joint applications for the construction of integrated analytical platforms, it is possible to create systems for the multi-criteria analysis of large quantities of quantitative and qualitative data and thus significantly improve predictive analyses of various multi-faceted macro-processes concerning local, regional and global climate change, the state of the biosphere, natural, social, health, economic, financial processes, etc.?
Ongoing technological progress is increasing the technical possibilities of both conducting research, collecting and assembling large amounts of research data and their multi-criteria processing using ICT information technologies and Industry 4.0. Before the development of ICT information technologies, IT tools, personal computers, etc. in the second half of the 20th century as part of the 3rd technological revolution, computerised, semi-automated processing of large data sets was very difficult or impossible. As a result, the building of multi-criteria, multi-article, big data and information models of complex macro-process structures, simulation models, forecasting models was limited or practically impossible. However, the technological advances made in the current fourth technological revolution and the development of Industry 4.0 technology have changed a lot in this regard. The current fourth technological revolution is, among other things, a revolution in the improvement of multi-criteria, computerised analytical techniques based on large data sets. Industry 4.0 technologies, including Big Data Analytics technology, are used in multi-criteria processing, analysing large data sets. Artificial Intelligence (AI) can be useful in terms of scaling up the automation of research processes and multi-faceted processing of big data obtained from research.
The technological advances taking place are contributing to the improvement of computerised analytical techniques conducted on increasingly large data sets. The application of the technologies of the fourth technological revolution, including ICT information technologies and Industry 4.0 in the process of conducting multi-criteria analyses and simulation and forecasting models conducted on large sets of information and data increases the efficiency of research and analytical processes. Increasingly, in research conducted within different scientific disciplines and different fields of knowledge, analytical processes are carried out, among others, using computerised analytical tools including Big Data Analytics in conjunction with other Industry 4.0 technologies.
When these analytical tools are augmented with Internet of Things technology, cloud computing and satellite-implemented sensing and monitoring techniques, opportunities arise for real-time, multi-criteria analytics of large areas, e.g. nature, climate and others, conducted using satellite technology. When machine learning technology, deep learning, artificial intelligence, multi-criteria simulation models, digital twins are added to these analytical and research techniques, opportunities arise for creating predictive simulations for multi-factor, complex macro processes realised in real time. Complex, multi-faceted macro processes, the study of which is facilitated by the application of new ICT information technologies and Industry 4.0, include, on the one hand, multi-factorial natural, climatic, ecological, etc. processes and those concerning changes in the state of the environment, environmental pollution, changes in the state of ecosystems, biodiversity, changes in the state of soils in agricultural fields, changes in the state of moisture in forested areas, environmental monitoring, deforestation of areas, etc. caused by civilisation factors. On the other hand, complex, multifaceted macroprocesses whose research processes are improved by the application of new technologies include economic, social, financial, etc. processes in the context of the functioning of entire economies, economic regions, continents or in global terms.
Year on year, due to technological advances in ICT, including the use of new generations of microprocessors characterised by ever-increasing computing power, the possibilities for increasingly efficient, multi-criteria processing of large collections of data and information are growing. Artificial intelligence can be particularly useful for the selective and precise retrieval of specific, defined types of information and data extracted from many selected types of websites and the real-time transfer and processing of this data in database systems organised in cloud computing on Big Data Analytics platforms, which would be accessed by a system managing a built and updated model of a specific macro-process using digital twin technology. In addition, the use of supercomputers, including quantum computers characterised by particularly large computational capacities for processing very large data sets, can significantly increase the scale of data and information processed within the framework of multi-criteria analyses of natural, climatic, geological, social, economic, etc. macroprocesses taking place and the creation of simulation models concerning them.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Is it possible, by combining the technologies of quantum computers, Big Data Analytics, big data analytics and information extracted from, inter alia, a large number of websites and social media portals, cloud computing, satellite analytics, etc., and artificial intelligence in joint applications of building integrated analytical platforms? and artificial intelligence in joint applications for the construction of integrated analytical platforms, is it possible to create systems for the multi-criteria analysis of large quantities of quantitative and qualitative data and thereby significantly improve predictive analyses of various multi-faceted macro-processes concerning local, regional and global climate change, the state of the biosphere, natural, social, health, economic, financial processes, etc.?
By combining the technologies of quantum computers, Big Data Analytics, artificial intelligence and other Industry 4.0 technologies, is it possible to significantly improve the predictive analyses of various multi-faceted macroprocesses?
By combining the technologies of quantum computers, Big Data Analytics, artificial intelligence, is it possible to improve the analysis of macroprocesses?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
The above text is entirely my own work written by me on the basis of my research.
I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.
Copyright by Dariusz Prokopowicz
Dariusz Prokopowicz
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In my opinion, thanks to the combination of the above-mentioned technologies, there are new opportunities to expand research and analytical capabilities, to process large data sets within the framework of Big Data Analytics, to develop predictive models for various types of macro-processes.
What is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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What are the possibilities for the applications of Big Data Analytics backed by artificial intelligence technology in terms of improving research techniques, in terms of increasing the efficiency of the research and analytical processes used so far, in terms of improving the scientific research conducted?
The progressive digitization of data and archived documents, digitization of data transfer processes, Internetization of communications, economic processes but also of research and analytical processes is becoming a typical feature of today's developing developed economies. Currently, another technological revolution is taking place, described as the fourth and in some aspects it is already the fifth technological revolution. Particularly rapidly developing and finding more and more applications are technologies categorized as Industry 4.0/5.0. These technologies, which support research and analytical processes carried out in various institutions and business entities, include Big Data Analytics and artificial intelligence. The computational capabilities of microprocessors, which are becoming more and more perfect and processing data faster and faster, are successively increasing. The processing of ever-larger sets of data and information is growing. Databases of data and information extracted from the Internet and processed in the course of conducting specific research and analysis processes are being created. In connection with this, the possibilities for the application of Big Data Analytics supported by artificial intelligence technology in terms of improving research techniques, in terms of increasing the efficiency of the research and analytical processes used so far, in terms of improving the scientific research being conducted, are also growing rapidly.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What are the possibilities of applications of Big Data Analytics supported by artificial intelligence technology in terms of improving research techniques, in terms of increasing the efficiency of the research and analytical processes used so far, in terms of improving the scientific research conducted?
What are the possibilities of applications of Big Data Analytics backed by artificial intelligence technology in terms of improving research techniques?
What do you think on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
The above text is entirely my own work written by me on the basis of my research.
Copyright by Dariusz Prokopowicz
On my profile of the Research Gate portal you can find several publications on Big Data issues. I invite you to scientific cooperation in this problematic area.
Dariusz Prokopowicz
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Hi Dr. Dariusz Prokopowicz Interesting question
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Norwood-Hamilton scale for male pattern hair loss was first published by Norwood OT, in Southern Medical Journal (1975).
Reproduced by Justine A. Ellis, Expert Reviews in Molecular Medicine by Cambridge University Press 2002.
Is the scale patented or free for use in clinical research?
Many clinics across the globe have been using it and also published it on their website/blogs.
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It is free, my hair loss and hair restoration colleagues and me, have used it for more than 35-40 years. I use it everyday with my male hair loss patients.
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National Conference of Creativity, Innovation, and Technology [Virtual]
  • Full Papers Deadline September 1, 2023
  • Abstracts, Panels, and Workshops Deadline September 18, 2023
  • Notification of acceptance: September 28, 2023
  • Early Bird Registration Ends October 1, 2023
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Full Paper Deadline has been extended till September 18th for anyone interested in sharing their work at this collaborative conference!
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Is it ResearchGate, LinkedIn, or something else?
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I really appreciate your response! 👍
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The materials science dissertation did not conduct experimental studies. What is the name and how to search on the Internet for this type of dissertation, in which, for example, they simply applied some method or developed some approach, but did not directly experiment, for example, to change the structure, did not create any materials, substances and etc. among the sciences where it is usually required to do this (materials science, chemistry)? Give examples of such dissertations. Thank you!
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In the field of materials science or chemistry, dissertations that focus on theoretical or computational approaches rather than experimental studies are often referred to as "computational", "theoretical", or "simulation-based" dissertations. These types of dissertations primarily rely on modeling, simulation, data analysis, and computational methods to investigate and understand materials properties, phenomena, or processes.
To search for such dissertations on the internet, you can try the following approaches:
  1. University repositories: Many universities have online repositories where they store and provide access to their students' dissertations. Visit the websites of universities known for their materials science or chemistry programs and search their repositories using keywords like "computational materials science dissertation" or "theoretical chemistry dissertation".
  2. Academic search engines: Utilize academic search engines like Google Scholar, Scopus, or ResearchGate to search for dissertations related to computational or theoretical approaches in materials science or chemistry. Use relevant keywords and filters to narrow down your search results.
  3. Scientific journals and conference proceedings: Explore scientific journals and conference proceedings in the field of materials science or chemistry. Look for articles or papers that present theoretical or computational studies and check if they mention a corresponding dissertation. Often, authors include a reference to their dissertation in the paper's acknowledgments or author information.
  4. Collaborative research platforms: Platforms like Materials Project (materialsproject.org), which you mentioned earlier, host research articles and dissertations centered around computational materials science. Check their resources or publications sections to find dissertations or theses that align with your interests.
  5. Professional societies and associations: Visit the websites of materials science or chemistry professional societies and associations. They may provide access to published dissertations or maintain databases of member dissertations that cover various topics, including computational or theoretical approaches.
Remember that the availability of full dissertations may vary depending on the institution's policies and the author's preferences. In some cases, you may find abstracts or summaries that provide an overview of the dissertation's topic, methodology, and findings.
Here are a few examples of dissertations that focus on computational or theoretical approaches in materials science or chemistry:
  • "Computational Study of [specific topic] in Materials Science" (Author's Name, University)
  • "Theoretical Investigation of [specific phenomenon] in [material/system]" (Author's Name, University)
  • "Development and Application of [specific method/model] in Materials Science" (Author's Name, University)
Remember to replace [specific topic], [specific phenomenon], [material/system], [specific method/model], and (Author's Name, University) with relevant keywords and actual names.
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In your opinion, will an incipient global climate catastrophe also generate a global biodiversity catastrophe and, therefore, should the two catastrophes be studied simultaneously as closely related?
Increasingly, future global climate catastrophe is being combined with global biodiversity catastrophe in scientific deliberations. Still high civilization's greenhouse gas emissions are causing global warming to accelerate. If nothing changes in this regard, according to the predictions of climatologists, climate geophysicists, ecologists, researchers operating in interdisciplinary areas, etc., in a few decades planet Earth will face a global climate catastrophe, which will result, among other things, in a many times higher frequency and scale of emerging periods of severe drought, heat, forest fires, etc., which will result in the impossibility of human existence on most of the planet's land areas. This will be associated with lack of water, permanently breaking out fires, inability to grow crops, etc. In addition, in these areas, the level of biodiversity of natural ecosystems will decline many times over. To a large extent, most of the planet's biosphere will be affected. The scale of the ongoing mass extinction of many species of flora and fauna, the scale of the current great 6 species extinctions (6 within the history of life on Earth) will increase many times over. The biodiversity of the planet will decrease many times over, that is, what has evolved for hundreds of millions of years as part of the evolution of life on Earth, man will destroy in a relatively short period of a few centuries at most (counting from the period of the first industrial revolution). Therefore, the results of many scientific studies already support the thesis that a global climate catastrophe will also generate a global biodiversity catastrophe, and therefore the two catastrophes should be studied simultaneously as closely related. Do you agree with this thesis? Whether you agree or not then please provide substantive arguments, studies, publications.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, will the beginning global climate catastrophe also generate a global biodiversity catastrophe and, therefore, should the two catastrophes be studied simultaneously as closely related?
Will the beginning global climate catastrophe also generate a global biodiversity catastrophe?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite you all to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Dear Doctor
Go To
Climate Endgame: Exploring catastrophic climate change scenarios
Luke Kempa , Chi Xuc ,Joanna Depledged , Kristie L. Ebie , Goodwin Gibbinsf, Timothy A. Kohlerg,, Johan Rockstrom€ , Marten Schefferk , Hans Joachim Schellnhuberj, Will Steffenm , and Timothy M. Lentonn
PNAS 2022 Vol. 119 No. 34 e2108146119
"Prudent risk management requires consideration of badto-worst-case scenarios. Yet, for climate change, such potential futures are poorly understood. Could anthropogenic climate change result in worldwide societal collapse or even eventual human extinction? At present, this is a dangerously underexplored topic. Yet there are ample reasons to suspect that climate change could result in a global catastrophe. Analyzing the mechanisms for these extreme consequences could help galvanize action, improve resilience, and inform policy, including emergency responses. We outline current knowledge about the likelihood of extreme climate change, discuss why understanding bad-toworst cases is vital, articulate reasons for concern about catastrophic outcomes, define key terms, and put forward a research agenda. The proposed agenda covers four main questions: 1) What is the potential for climate change to drive mass extinction events? 2) What are the mechanisms that could result in human mass mortality and morbidity? 3) What are human societies' vulnerabilities to climatetriggered risk cascades, such as from conflict, political instability, and systemic financial risk? 4) How can these multiple strands of evidence—together with other global dangers— be usefully synthesized into an “integrated catastrophe assessment”? It is time for the scientific community to grapple with the challenge of better understanding catastrophic climate change.
Conclusions There is ample evidence that climate change could become catastrophic. We could enter such “endgames” at even modest levels of warming. Understanding extreme risks is important for robust decision-making, from preparation to consideration of emergency responses. This requires exploring not just higher temperature scenarios but also the potential for climate change impacts to contribute to systemic risk and other cascades. We suggest that it is time to seriously scrutinize the best way to expand our research horizons to cover this field. The proposed “Climate Endgame” research agenda provides one way to navigate this under-studied area. Facing a future of accelerating climate change while blind to worst-case scenarios is naive risk management at best and fatally foolish at worst."
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If you were considering research in a developing import-dependent African country, what would be those contemporary areas of interest that hold both practical and theoretical contributions??? Your opinion is highly appreciated.
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marketing sensing, aligning organizational strategies, considering digital transformation and industry 4.0 perspectives considering customer 4.0, cultural orientation culture 4.0.
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Hi All,
I’m often asked to suggest academic Design Journals, but find it hard to find a 'one-stop' list so researchers/ students can review and select. I’ve started a rough list in no particular order (link below). Any Design related journal suggestions would be welcome, from Innovation to engineering, education to ergonomics, UX to Design history, etc. Discipline-specific or Interdisciplinary.
Please offer some suggestions and Il add them to the list. Looking for quality, peer-reviewed offerings.
Thanks alot!
P.J.
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Hi all
I've added all your suggestions to the list of Design Journals and created a clickable table of categories for easier search:
Please feel free to add and share.
The categories include:
  • General Design Journals
  • Design in Business/ Management/ Strategy/ Innovation
  • Built Environment / Architecture/Interiors/ Planning
  • Social Design/ Sustainability
  • Product Design/ Industrial Design/ Ergonomics
  • UX/ HCI
  • Visual Communications/ Information Design
  • Fashion/ Textile Design
  • Art/ Philosophy
  • Design and Policy
  • Design History
  • Design and Engineering
  • Prototyping /3D Printing
  • Design and AI
  • Design and Health
  • Design Education
  • Design Creativity and Craft
  • Design and Food
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I think yes, what do you think?
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John, the environmental problem is a global problem regardless of local roles/contributions like China or Canada or the USA or the EU.
Had at least the western world gone green in 2012 and set up green markets and China and India and Russia and other countries were out of green markets, then perfect green market theory suggest that you can put a cost on importing non-green goods and services so green markets could have been used to push China to go green markets or lose the western markets. Had the EU together with the rest of the western world gone green markets, the energy impact of the war in Ukriene on EU countries would have been small as they would have gone out of non-renewable to produce at the lowest green market price possible and hence they would not have provided money to Russia for buying non-renewable energy to amass a stronger military....
Just a Covid brough countries to their knees because it affected the survival of the supply side of the market/THE RICH without the possibility of decoupling from the health threat, then when the environmental crisis becomes binding and threaten the survival of the supply side of the market/THE RICH without a decoupling possibility from the binding environmental threat, then they move towards green markets as a way to save the survival of capitalism as green capitalism as countries again will be on their knees.
Thanks again for taking the time to comment. It is nice to see that I am not the only once who sees and talks about these a kind of antisciency acts, academic tunneling and willful academic blindness.
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Decades ago, researchers had to conduct their research using more manual methods and efforts. They still produced good research.
Today, technology makes research easier, wider and faster through online methods of data collection and analysis. We can even break geographical research borders through technology. In addition we have referencing softwares and we can type out our research on various word processing softwares. There are many more advantages.
However, some may argue that we have become over-reliant on technology usage in research. Can this compromise our research precision and quality thereof. Are there any negative implications?
What are your thoughts?
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Technology has undoubtedly revolutionized the research process, offering researchers a plethora of tools and resources that were previously unimaginable. While the benefits of technology in research are evident, it is important to consider the potential drawbacks and the impact of over-reliance on technology.
One of the advantages of technology in research is the ease and speed with which data can be collected and analyzed. Online methods of data collection have allowed researchers to access vast amounts of information from various sources, transcending geographical boundaries. This has not only expanded the scope of research but has also facilitated collaborations among researchers from different parts of the world.
Furthermore, technology has provided researchers with powerful tools for data analysis and visualization. Statistical software packages enable complex calculations and modeling, helping researchers to uncover patterns and trends in their data. This has enhanced the accuracy and efficiency of research, leading to more robust and reliable findings.
In addition, referencing software and word processing software have simplified the process of organizing and formatting research papers. These tools streamline the citation process and ensure consistency in formatting, saving researchers valuable time and effort.
However, it is crucial to acknowledge that over-reliance on technology in research can have negative implications. One concern is the potential compromise of research precision and quality. Relying solely on automated data collection methods may overlook important nuances and context that can only be captured through human observation and interaction. Similarly, excessive reliance on statistical software may lead to the misuse or misinterpretation of data, compromising the validity of research findings.
Another concern is the potential for technological glitches and errors. Technology is not infallible, and technical issues can arise, leading to data loss or corruption. Researchers must be cautious and ensure the accuracy and reliability of their technological tools to avoid compromising their research.
Moreover, there is a risk of information overload and the temptation to prioritize quantity over quality. With the abundance of data available, researchers may be inclined to include large amounts of information without thoroughly evaluating its relevance or credibility. This can dilute the focus of research and undermine its rigor.
In conclusion, while technology has undoubtedly transformed the research landscape, it is essential to strike a balance between utilizing technology to enhance research and maintaining critical thinking and human involvement in the process. Researchers should be mindful of the potential drawbacks and limitations of technology and ensure that it complements, rather than replaces, traditional research methods. By doing so, they can harness the full potential of technology while upholding the precision and quality of their research.
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I have been working in digital marketing for the past 6 years, but now, the world has changed. There have been many changes in digital marketing i.e. Chatbots, Chat GPT. Some of the most popular AI tools for digital marketers include Jasper, Surfer SEO, Zapier, Grammarly, and Hemingway Editor.
AI uses complex algorithms to analyze large amounts of data, identify patterns and make predictions based on what it has learned from the past.
What's the future of Digital Marketing?
.
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What is the difference between a literary review and a regular report that is made for a speech, which is usually given at school? Give comparisons between the report and the literary review, where the text is more like an abstract, and where is it like a literary review? How to distinguish a report from a review? How should the text in the report and review look like? Thank you!
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Report: "Here's what we did."
Review: "Here's a summary of what we read."
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In your opinion, are so-called "carbon credits" consisting of some corporation taking a specific patch of natural forest cover, including, for example, a patch of natural Amazon Rainforest, for an additional ton of CO2 emissions, an effective instrument for real reduction of CO2 emissions into the atmosphere?
To consider the question of the role of so-called "carbon credits" in the context of reducing greenhouse gas emissions, one would have to assume that such a system actually reliably works. However, from what is reported by independent journalists, environmentalists, people who care about protecting the climate, biosphere and biodiversity of the planet's natural ecosystems, including the forests of the Amazon, even those declared patches of natural Amazon Rainforest taken for protection under the so-called carbon credits are nevertheless often cut down.
Perhaps something will finally begin to change, to improve, in terms of protecting the climate, biosphere and biodiversity of the natural ecosystems of the Amazon Rainforest in connection with the first Amazon Forest Conservation Summit in 14 years, currently being held in Belém, Brazil. Deforestation in the Brazilian Amazon fell by 60 percent in July compared to the same month last year. The announcement of the positive trend coincides with the start of a summit in Belém of the 8 countries whose territories include the Amazon forest. This summit is attended by representatives of the governments of the 8 countries whose territory includes the natural Amazon Forest. Perhaps plans and commitments will be made to realistically protect this largest terrestrial reservoir of natural biodiversity and natural forests characterized by a particularly high contribution to absorbing CO2 from the atmosphere and producing oxygen. It may also be that the processes of increasing the scale of protection of these forests and reducing their still large-scale logging will be accelerated so that by 2030 at the latest, the deforestation of these forests will be completely ended. This is a particularly important issue because more than 20 percent of the Amazon rainforest has already disappeared due to human activity.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, are the so-called carbon credits, which consist in the fact that some corporation, for an additional ton of CO2 emissions, will take under protection a certain patch of natural forest cover, including, for example, a patch of natural Amazon Rainforest, an effective instrument for real reduction of CO2 emissions into the atmosphere?
Are so-called carbon credits an effective instrument to realistically reduce CO2 emissions into the atmosphere?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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I have conducted a multiphase mixed-methods research, through which i developed, implemented and evaluated an injury surveillance system that was tailored for stakeholders as a practical injury monitoring tool and through which i could obtain injury epidemiological data. However, I am not sure whether the following overarching research aim should be phrased in this way:
"The overarching aim of this thesis is to develop, implement, and evaluate a context-specific injury surveillance system tailored to the needs of the U/21 Maltese national football team stakeholders through which a comprehensive year-round study of injury epidemiology within the U/21 National football team could be conducted."
I'd really appreciate your views about this.
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I did not see any clear specification of a qualitative method, since most epidemiology is quantitative. In addition, I would like to have a specification for the integration of the qualitative and quantitative results.
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In your opinion, is the issue of better management of water consumption and conservation correlated with running a sustainable organic farm or agritourism farm?
97 percent of the water on the planet is salt water in the oceans and seas. 3 percent of the water is fresh water, in you, 1/3 in glaciers and 2/3 is cloud water, surface water (rivers, lakes, marshes), hypodermic and deep water. So, man has at his disposal for his needs (including industrial, agricultural, domestic, municipal...) only 1 percent of the water on the planet.
The research shows that with the operation of a sustainable farm or agro-tourism farm practicing organic farming mainly oriented to the cultivation of vegetable crops can be associated, correlated can be the issue of water consumption savings, a large decrease in greenhouse gas emissions, an increase in the scale of energy autonomy, a decrease in the scale of non-biodegradable waste generation, increased financial savings due to less use of chemical plant protection products, etc. Besides, there may be water consumption savings associated with running a sustainable organic farm or agritourism farm, improved water management compared to an unsustainable production farm.
The study found that when a farm allocated 1/10th of the area of cultivated fields for afforestation, tree planting, planting shrubs, creating green areas, green belts separating individual fields, creating ditches with irrigation water for cultivated fields, creating rainwater storage ponds for irrigation of cultivated fields during periods of drought, and it turned out that despite the reduction in cultivated area, crop production increased. In addition, large amounts of water were saved. And if these reduced croplands were used to produce crops as not fodder for livestock but as food for humans then the benefits mentioned above would increase much more.
Producing 1 kg of beef as part of the entire process of farming and cattle breeding consumes as much as a dozen tons of water.
In traditional, productive, intensive agriculture, 4 times more farmland (livestock feed production) is used as part of meat production compared to the situation if the fields produced crops, i.e. grains, fruits and vegetables but used as raw materials to produce food products as food directly for humans.
Increasing the scale of water consumption savings on the farm regardless of the type of agricultural production can also be achieved by building small-scale on-farm water treatment plants, rainwater catchment systems and tanks, retention ponds where rainwater is stored. Rainwater should be used on the farm for, among other things, watering agricultural crops. However, the problem is the increasing incidence of prolonged lack of rainfall and severe periods of heat and drought derived from the progressive process of global warming. In such a situation, deep wells are built and deep water, including Oligocene water, is extracted. If this kind of water is used for agricultural purposes then deep-water resources can quickly run out. Therefore, especially when a farm uses deep-sea water it is essential to create and improve water-saving technologies and systems. In the situation where the farm is located near a river then the solution may be to create a river water treatment plant for agricultural use. And when the farm is next to the sea or ocean then investment in seawater desalination may be a good solution. However, this kind of investment is highly expensive. Then there should be created and developed systems of financial subsidies provided from the state's public finance system, which, under green financing, would help farmers and entrepreneurs operating also in other sectors of the economy to build systems for desalination and possibly also treatment and purification of seawater, which could be used for various purposes, including multi-faceted use on farms.
In a situation where a farm would obtain water from the seas and oceans instead of consuming deep-sea water resources, which will not recover quickly, this would be an important element of natural sustainability. Deep-sea water, including Oligocene water, has been forming for thousands or millions of years. On the other hand, in its extraction and consumption for industrially carried out projects carried out under a predatory economy, the resources of this water can quickly be depleted, and this is an important element of an unsustainable economy. Therefore, within the framework of a sustainable agricultural or agritourism farm carrying out organic farming in a situation of water shortages, increasingly frequent periods of drought, then in order for the farm not to lose its sustainable status it should use rainwater, water from treated wastewater and/or desalinated sea water instead of using deep-sea water resources.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, is the issue of better management of water consumption and conservation correlated with running a sustainable organic farm or agritourism farm?
Is the issue of better management of water consumption and conservation correlated with running a sustainable farm?
And what is your opinion about it?
What do you think about this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Many studies indicate that the farmers are either wasting water by over irrigation or are deprived of their allocated share. The over irrigation has caused the salinity and water logging problems and the less water availability has caused either low crop yields or area with no cultivation. This situation has caused low crops yield and inefficient use of water. The inflexible supplies have also increased the cost of production by the use of ground water pumping.
Studies indicate that total available water supplies are still 3.25 times the crop water requirement. That indicates the great potential to store water at the farm level and utilize it for crop production. On Farm Water Management (OFWM) Punjab helps to meet crop water requirement by increasing flexibility of water availability and to grow high value crop .OFWM does both first store canal water delivers to the farm on the turn, then pumped out from the On Farm Water Storage (OFWS) to irrigate the crops in-between the turn through high efficiency irrigation system(Drip and sprinkler).OFWS are also being used for fish culture. Thus, better water management at farm is highly correlated with sustainable agriculture.
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Hi everyone. I need your help. Recently, I tried to apply for and pursuing to look for a Ph.D. position in education. But has been 1 year I haven't yet got a supervisor. If you are here, is the supervisor in education and looking for Ph.D., I'm willing to get the chance and adapt to discuss the required Ph.D. at each university, including research proposal and other things.
Looking forward to getting my best supervisor to work together. Thank you
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Hi I am a Research Fellow with the University of Maiduguri, Centre for Peace, Diplomatic and Development Studies, Maiduguri, Borno State Nigeria. i am looking for a PhD program in Peace and Development studies scholarship
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How do you encourage, motivate your students to formulate an interesting, current, future-oriented, out-of-the-box, novel, creative, innovative thesis topic with what words, etc.?
What are your recommendations to your students in terms of selecting or independently formulating an interesting, current, future-oriented, out-of-the-box, novel, creative, innovative topic for a thesis, bachelor's thesis, master's thesis and/or doctoral dissertation?
What incentives do you apply to your students to come up with, create, formulate an interesting, timely, forward-looking, unconventional, novel, creative, innovative thesis topic?
In the current fast-changing reality, the era of the fourth or fifth technological revolution, the rapid emergence of new research concepts, new technologies, new proposals for solving certain problems, the search for ideas for new startups, the development of new socio-economic trends, new fashion trends for certain solutions, new ideas, etc., it is not easy to come up with, create, formulate an interesting, up-to-date, forward-looking, unconventional, novel, creative, innovative thesis topic. Therefore, it is important for lecturers and thesis supervisors to use certain incentives, motivators to select or independently formulate an interesting, current, future-oriented, unconventional, innovative, creative, innovative topic for the thesis, bachelor's thesis, master's thesis and/or doctoral thesis.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What incentives do you apply to your students to come up with, create, formulate an interesting, timely, forward-looking, out-of-the-box, novel, creative, innovative thesis topic?
How do you encourage, motivate your students to formulate an interesting, current and future-oriented thesis topic?
And what is your opinion on this topic?
And what is your opinion about it?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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The thesis project is a crucial milestone in one's academic journey as well as in their future professional career. It provides the opportunity to delve into topics that will prove valuable in the future. Given the time required to compose the thesis, it is advisable to select a subject that will enhance our expertise and provide a sense of accomplishment.
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What, in your opinion, are the methods, ways, legal solutions, new material and other technologies to reduce paper consumption, save wood and trees?
What, in your opinion, are the actions and projects that can contribute to forest conservation, to convert deforestation into afforestation, to protect the climate, biosphere and biodiversity of the planet's natural ecosystems, to reduce greenhouse gas emissions and counteract the ongoing process of global warming?
As we know, trees, forests, especially old, natural forests, primeval forests with old-growth forests without human interference, without the influence of civilization, are the refuge of the greatest resources of biodiversity of natural ecosystems. Besides, forests play a particularly important role in the issue of slowing down the human-induced global warming process, which is progressing faster and faster. Forests also play a very important role in mitigating weather and climate anomalies, maintaining a mild microclimate friendly to living organisms, keeping the soil and air moist, maintaining the high level of biodiversity and soil fertility created over thousands or millions of years, and so on.
Deforestation still dominates over afforestation in many regions of the world. Forests are still being cut down and burned to acquire new areas for agricultural development, the cultivation of crops, which is usually carried out in the form of unsustainable robbery. In addition, this practice is carried out mainly in the tropics and subtropics, where after logging, forests created new arable land is quickly subject to drought and the soil becomes barren. Restoring a forest that has functioned for thousands of years or more in a specific area on the depleted soil requires huge expenditures. In addition, vegetable crops are grown on these new agricultural areas, which are either transported thousands of kilometers to other countries, which generates high greenhouse gas emissions, or are not used for human food but for livestock feed, which also generates high emissions, as industrial livestock farming is a source of high emissions of the potent greenhouse gas methane. Therefore, with a view to protecting the climate, biosphere and biodiversity of the planet's natural ecosystems, to reduce greenhouse gas emissions and counteract the ongoing process of global warming.
Various examples of reducing paper consumption and saving forests are as follows:
In some countries, the scale of printing notebooks, notebooks, books, including school books, has been reduced and students as early as elementary school write at school on tablets or laptops rather than in paper notebooks. Green economic activities involving, for example, the production of furniture from recycled materials are also emerging.
Another example is the replacement of dirty energy based on burning firewood with renewable and emission-free sources of clean energy. Unfortunately, in some countries, in order to falsify statistics on the development of renewable energy at the behest of the government, central statistical institutions, ministries and government agencies dealing with climate and environmental issues also count firewood as a renewable energy source. Such absurdities unfortunately still exist in some countries.
Another example is the use of secondary raw materials of various origins in the construction industry instead of using wood, and especially instead of newly harvested wood from companies producing building materials based on fresh, new wood raw material from a sawmill.
As of 1.8.2023, paper receipts are not printed in France to save trees. You have to ask for a printed receipt if the customer needs one.
What other examples of reducing paper consumption and saving forests are as follows?
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What, in your opinion, are the actions and undertakings that can contribute to forest conservation, to convert deforestation into afforestation, to protect the climate, biosphere and biodiversity of the planet's natural ecosystems, to reduce greenhouse gas emissions and counteract the ongoing process of global warming?
What do you think are the methods, ways, legal solutions, new material technologies and others to reduce paper consumption, save wood and trees?
How can we reduce paper consumption, save wood, trees and reduce forest deforestation, protect biodiversity and climate?
What do you think about this topic?
What is your opinion on this issue?
Please respond,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Trees take up more carbon than other terrestrial plants. Paper traditionally was made from straw, bamboos, banana and other low carbon storing plants. Alternatively, fast growing high fibre products such as bamboo, grass and waste (straw) from grain be used for pulp production rather than wood.
Laws must be put in place to ban paper from wood and encourage other alternatives. It is possible.
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Recently, I have written a research article. I want to produce preprint of it. I found various platforms for creating preprints of articles, including arXiv and Researchsquare. Personally, which platform do you prefer?
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Dear Prof. Victor Monzon Baeza & all the honorable researchers,
Preprints are defined as an author’s version of a research manuscript prior to formal peer review at a journal, which is deposited on a public server. ResearchGate (RG) said about "Preprints": "early-stage research" and "Draft paper before peer review".
On the other side, RG is not a publisher and, in turn, uploaded unpublished text is not regarded as a publication. Hence, a preprint is an author's own original or draft version of their paper before any peer review has taken place and before it is published. As soon as it's posted, a preprint becomes a permanent part of the scientific record and, in turn, it can be citable with its own unique DOI.
Now, before answering this valuable question of Prof. Aijaz Panhwar, please let me give my own opinion about the preprint dilemma (مُعضلة ما قبل الطباعة):
I have a different perspective on uploading any preprint anywhere before it has been published. Why do you let others know about your insights and methodologies before publication? You should avoid telling the other researchers about the details of any one of your papers until it has been published and seeing your name by yourself. You may say that I am somewhat old-fashioned, but I have a different perspective on uploading any preprint anywhere before it has been published by your name. My advice is not to put your research anywhere until it is published. It is a security issue:
  • Your manuscript may be copied and then published by others before you can do that. This stealing of your paper might be happening. So, you must wait until the paper is accepted and then published in that journal. Then, upload that research item on any platform you wish.
  • You should avoid telling the other researchers about the details of any one of your papers until it has been published and you are seeing your name by yourself.
  • A journal may have automated plagiarism software to check the paper before admitting it to the reviewing process. There are chances that your paper can get a rejection at any point. Thus, to avoid this problem. Publish the preprint after you got the paper as "ACCEPTED".
  • There may be a "cold war" between the professors of a given department. They do not like to discuss ideas as others will "steal" them and publish an article on them without giving credit to the one from whom they got the idea. My suggestion is to keep your work "private" and share it only with those who are really interested.
  • Academic publishing remains a competitive process. If someone else has recently published a paper very similar to mine, mine is less likely to be accepted. So although I may share my topic, I prefer to keep my methodology, findings, and discussion private, until published in a peer-reviewed journal. So, there is a high chance that someone may claim your idea as theirs!
  • Preprint gives a false feeling of security. Personally, I would always wait until the paper is accepted by the editor of a journal. After that, I can post it as a regular research item on any platform you wish.
  • A reminder for all respected researchers: Don't put any research, including preprint, anywhere until you are certain that it is published and tagged with your name. The information presented in the preprint is potentially available to be stolen and republished. There is also a chance that someone may plagiarize your paper!
Finally, for the coming future, do not upload any paper anywhere until it is published with your name. Even if it is a "preprint"! For the time being, If you had done something like that as a "preprint", for instance, I advise you to delete the preprint from any elsewhere and wait for two months before sending the paper to any journal.
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What is the difference between a literary review and an abstract? Can you give examples of comparing an abstract and a literature review? Thank you!
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Difference between a Literature Review and an Abstract
A literature review and an abstract are two different elements of an academic paper. While an abstract is a brief summary of the paper, a literature review is a more detailed analysis of the existing literature on the topic.
Abstract: An abstract is a concise summary of an academic paper. It typically includes the purpose, methods, results, and conclusions of the study. An abstract is usually between 150 to 250 words long and is located at the beginning of the paper, before the introduction. Its purpose is to provide a brief overview of the paper's content, so that readers can quickly determine if the paper is relevant to their interests.
Literature Review: A literature review, on the other hand, is a comprehensive summary and analysis of the existing literature on a particular topic. It typically involves a thorough evaluation of scholarly articles, books, and other relevant sources, and aims to provide an overview of the current state of research on the topic. A literature review is usually longer than an abstract and can range from a few paragraphs to several pages.
Examples
To illustrate the difference between an abstract and a literature review, consider the following examples:
Abstract Example: This study examines the impact of technology on student learning outcomes in the classroom. Using a randomized controlled trial design, we compare the performance of students who receive technology-based instruction to those who receive traditional classroom instruction. Our results show that technology-based instruction is associated with higher student achievement in math and science.
Literature Review Example: This literature review examines the impact of technology on student learning outcomes in K-12 classrooms. The review includes a comprehensive analysis of existing research on the topic, including studies that have used randomized controlled trial designs, quasi-experimental designs, and observational studies. The review finds that while the use of technology in the classroom has the potential to enhance student learning outcomes, the specific conditions under which technology is most effective are still unclear. Future research should focus on identifying the most effective ways to integrate technology into the classroom to maximize student learning.
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Can I publish my design in my research article at the time of design patent submitted to IPR?
Two weeks before I submitted my design to IPR for patent purposes, I would like to upload the research article to the journal. In that journal, I used that particular design.
Is it okay to upload that article, or is there any other alternative way?
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The answer from Margaret Brumm is over-cautious in my opinion. Wait for confirmation from the IPR authoritythat your application for a Registered Design is approved, and only then go ahead and publish.
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Would you like to use a completely new generation of ChatGPT-type tool that would be based on those online databases you would choose yourself?
What do you think about such a business concept for an innovative startup: creating a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use only those online databases, knowledge bases, portals and websites that individual Internet users will select themselves?
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built exclusively on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use exclusively those Internet databases, knowledge bases, portals and websites that individual Internet users themselves will select, determine, define?
In my opinion, it makes sense to create a new generation of something similar to ChatGPT, which will use databases built exclusively on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use exclusively those Internet databases, knowledge bases, portals and websites that individual Internet users themselves will select, define, define. This kind of solution, which would allow personalization of the functionality of such generative artificial intelligence systems, would significantly increase its functionality for individual users, Internet users, citizens. In addition, the scale of innovative solutions for practical applications of such personalized intelligent systems for analyzing content and data contained in selected specific Internet resources would increase significantly.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use only those Internet databases, knowledge bases, portals and websites that individual Internet users themselves will select, specify, define?
What do you think of such a business concept for an innovative startup: the creation of a new generation of something similar to ChatGPT, which will use databases built exclusively on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use exclusively those online databases, knowledge bases, portals and websites that individual Internet users will themselves select?
Would you like to use a completely new generation of ChatGPT-type tool, which would be based on those online databases that you yourself would select?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
Dariusz Prokopowicz
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Certainly, embracing a new ChatGPT generation based on curated online databases offers exciting potential. The enriched data could enhance accuracy and relevance, fostering more insightful and contextually aware interactions, ultimately delivering an elevated user experience.
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Seeking insights into the forefront of agricultural extension research, this question aims to explore the novel methodologies that have recently emerged in the field.
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Participatory Approach:
For the fact that indigenous people so much believe on their local knowledge or traditional knowledge which for decades have been enabling them make ends living, Agricultural Extension it self can't make progress except both farmers and researchers work together for a common goal, that's the emerging method that can be used to achieve a set goal.
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What is the most important thing for the development of good scientific cooperation in terms of, among other things, conducting exchanges on scientific research, joint team research, joint team publication of scientific research results, etc.?
Scientific cooperation can develop on the scale of specific scientific and research institutions, scientific and teaching institutions, research and development centers, research and implementation laboratories, educational institutions, research centers and laboratories of companies and enterprises, government agencies dealing with science and scientific research, local government institutions and non-governmental organizations whose activities are based on the results of scientific research, and so on. Scientific cooperation can develop on a national and/or international scale. Scientific cooperation can develop in one or more scientific disciplines, i.e., interdisciplinary. Scientific cooperation may develop, among other things, in terms of conducting exchanges of experience in scientific research, joint team research, joint team publication of scientific research results, etc. Online indexing databases of scientific institutions, indexing of scientific publications, indexing of scientific persons, researchers and scientists, etc. can be helpful in establishing scientific cooperation. Besides, Internet portals that enable remote through the Internet to exchange scientific experiences, discuss scientific topics, etc. can also be helpful in developing scientific cooperation. An example of this kind of scientific portal is this Research Gate portal, where we can hold discussions on scientific topics, ask questions and answer questions in the discussion forum. In this way, new scientific cooperation can also be initiated, which I hereby encourage.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What is the most important thing for the development of good scientific cooperation in terms of, among other things, conducting exchanges of experience in scientific research, joint team research, joint team publication of scientific research results, etc.?
What is the most important thing for good scientific cooperation to develop?
And what is your opinion about it?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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The most important thing to develop good scientific cooperation is effective communication and collaboration among researchers and institutions. Here are some key factors to consider:
  1. Clear Communication: Open and transparent communication is crucial. Researchers should be able to share their ideas, findings, and challenges openly with their collaborators. This helps in avoiding misunderstandings, clarifying expectations, and fostering a productive working relationship.
  2. Shared Goals: All parties involved should have a shared understanding of the goals and objectives of the collaboration. This ensures that everyone is working towards a common purpose and can align their efforts accordingly.
  3. Mutual Respect: Respect for each other's expertise, contributions, and opinions is essential. A collaborative environment that values diverse perspectives and encourages constructive feedback leads to better outcomes.
  4. Trust and Reliability: Building trust takes time but is essential for successful collaboration. Being reliable, delivering on commitments, and demonstrating integrity are key factors in establishing trust among collaborators.
  5. Resource Sharing: Scientific cooperation often involves sharing resources, whether it's data, equipment, facilities, or personnel. Being willing to contribute and share resources can enhance the overall success of the collaboration.
  6. Flexibility and Adaptability: Science is dynamic, and projects can evolve over time. Collaborators should be willing to adapt to changing circumstances and be open to adjusting their approaches as new insights emerge.
  7. Effective Project Management: Clear project planning, task assignment, and regular progress updates help keep the collaboration on track. Having a designated point of contact or project manager can facilitate smooth communication and coordination.
  8. Inclusive and Diverse Teams: Diversity in terms of expertise, backgrounds, and perspectives can lead to innovative solutions and better problem-solving. Inclusive teams create an environment where everyone's contributions are valued.
  9. Recognition and Credit: Properly acknowledging and crediting each collaborator's contributions is important for maintaining a positive and equitable collaboration. Clear guidelines on authorship, intellectual property, and other forms of recognition should be established upfront.
  10. Long-Term Commitment: Successful scientific cooperation often requires a long-term commitment. Establishing a collaborative relationship based on a strong foundation can lead to ongoing collaborations and future joint projects.
Effective scientific cooperation requires ongoing effort, patience, and a genuine desire to work together for the advancement of knowledge and discovery. Regards, KC
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While it is common practice in the health field to use validated descriptors available in thesauri or glossaries, in other fields it is apparent that researchers use the terms they feel are most appropriate. By ignoring accepted terminology, their work may fall off the radar of database searches. An example of this is the choice of keywords that are not associated with validated descriptors. As a direct consequence, literature reviews in some areas, particularly in the social sciences, may produce results with increasing levels of error. I believe that this issue should be the subject of further reflection and debate.
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Your observation raises an important point about the use of validated descriptors and terminology in research across different fields. While it is true that in the health field, using established descriptors from thesauri or glossaries is common practice, it may not be the case in other disciplines.
In some fields, researchers may choose to use their own terminology or terms they feel are most appropriate for their study. This can be due to various reasons such as the emergence of new concepts, evolving terminology, or the unique characteristics of a particular context being studied. However, as you rightly mentioned, there can be consequences for not using accepted terminology.
Importance of Validated Descriptors
Using validated descriptors has several advantages. Firstly, it enhances the findability of research. Validated descriptors are often linked to standardized vocabularies and indexing systems used in databases, making it easier for researchers to locate relevant studies in literature searches. This improves the chances of their work being discovered by other researchers and contributes to the overall visibility of their research within the academic community.
Secondly, using established terminology facilitates effective communication and understanding among researchers. When researchers adhere to a common terminology, it becomes easier to build upon existing knowledge, compare findings, and establish connections between different studies. This promotes collaboration and the advancement of knowledge in the field.
Individual Context and Flexibility
However, it is also important to acknowledge that research is a dynamic process that evolves with the changing needs of different disciplines. Some fields, such as the social sciences, may have more diverse and context-specific research topics that require flexibility in terminology selection. Researchers in these fields often draw from different theoretical frameworks and conceptual perspectives, which can lead to the use of non-standardized keywords and terms.
It is crucial to strike a balance between adhering to established terminology and allowing for flexibility in research. While embracing new terminology is valuable in advancing knowledge, it is also important for researchers to be mindful of the potential consequences, such as reduced discoverability of their work.
Reflection and Debate
The issue you raised regarding the potential impact of not using validated descriptors in literature reviews should indeed be a subject of further reflection and debate within the research community. There needs to be ongoing discussions about the trade-offs between using established terminology and the flexibility required in certain fields. Researchers, professional societies, and database creators can collaborate to find ways to bridge this gap and explore innovative solutions.
Ultimately, the goal is to ensure that research remains accessible, discoverable, and robust, while also accommodating the evolving nature of knowledge production across various disciplines.
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There are various types of warfare such as military warfare, political warfare, business warfare, marketing warfare and even information warfare etc... However, do you think there is/will be such a thing as 'Research Warfare'. If so, how would you describe it?
Your thoughts and opinions are welcome. There is no right or wrong answer.
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Taking into consideration that research is closely related to innovation, and innovation provides a significant advantage to a state/actor in order to prevail among others, I would say that "Research Warfare" could be defined as the competition between states/actors which aims at gaining the technological advantage in a specific sector and/or prevent other states/actors from evolving at the same sector. It is therefore related to industrial espionage, sabotage and/or cyberattacks.
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Just in case, here is a description of Researchgate's Research Spotlights feature
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What if it were scientifically confirmed that there are other life forms in the Universe on distant exoplanets, including other intelligent life forms?
What if it were scientifically confirmed that in the Universe there are thousands of exoplanets similar to our planet Earth other exoplanets many millions of light years away where other life forms exist, including other intelligent life forms would this change your understanding of the essence of humanity and the role, importance of man in the Universe, the desirability of his existence, the possible desirability of the process of evolution of life, etc.?
Just as centuries ago, the change from a geocentric to a heliocentric system of planetary and solar bodies in the system now known as the solar system was fundamental to the understanding of the role of man in the Universe, etc.? Yes in the future, when it is scientifically confirmed that in the Universe there are thousands of other exoplanets similar to our planet Earth, many millions of light years distant, on which there are other forms of life, including intelligent life forms this will also probably prove to be a breakthrough in the understanding of the essence of humanity and the role, importance of man in the Universe, the purposefulness of his existence, the possible purposefulness of the process of evolution of life, etc.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
If it were scientifically confirmed that in the Universe there are thousands of exoplanets similar to our planet Earth, other exoplanets many millions of light years distant, on which there are other life forms, including other intelligent life forms, would this change your understanding of the essence of humanity and the role, importance of man in the Universe, the desirability of his existence, the possible desirability of the process of evolution of life, etc.?
What if it were scientifically confirmed that there are other life forms in the Universe on distant exoplanets, including other intelligent life forms?
And what is your opinion on this subject?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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A very interesting question. Before I give my thoughts, just a small remark. If we were to discover alien life, it would most likely be within our own galaxy, the Milky Way Galaxy, which has a diameter of about 100.000 light years. So the intelligent life we find would just be thousands of light years away, not millions.
At our current level of technology, it would be impossible to interact with the aliens in any meaningful way because of the vast distances in interstellar space. So the important question is how humans would change their behavior towards each other given that new discovery. I find it difficult to guess how humanity would react here. Humans have written plenty of sci-fi about this topic though.
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The Ricci tensor assumes the role of helping us understand curvature. Within my Universal Theory research, the Ricci tensor unveils itself. I was pleased to find as detailed in my research document on the Grand Unified Theory Framework (of which advancements in technology are showing there may be more than one viable form of as science progresses)that the Ricci Tensor was typically vanishing to zero in relation to the schwarzschild metric as it should back when I was performing feasibility and speciousness checks via calculations with other experts and myself. But in practical applications of the Grand Unified Theory Framework, vanishing to zero unravels very intriguing consequences.
One of said consequences was something small and interesting I wanted to discuss. The purpose is to highlight the intricacies of implementing such a highly comprehensive concepts in practical settings such as code. To thus detail the challenges researchers may face when translating comprehensive physics and mathematics formulations into concrete applications. More often than not I have found it requiring innovative adaptations and problem-solving. I also want to hear if anyone has any experience with similar things and what their experience was.
My recent amd past ventures into authenticating the Universal Theory framework in code but also writing complex neural networking and AI code with it, as well as Quantum computing code had a lot of interesting hurdles. I immersed myself in the depths of this then encountered a peculiar happenstance. The vanishing of the Ricci tensor to zero in the code procceses. I didn't realize why a lot of the code wasn't working. It's because I was trying to run iterative artificial learning code. And since it incorporated the Universal Theory, and did so in a mathematically accurate way (also authenticating it in various ways via code this way is possible) I didn't realize that no matter what I did the code would never work with the full form of the theory, because the Ricci tensor would always vanish to zero in terms of the schwarzschild metric within the subsequent processes running off initial code. And while this was validating for my theory it was equally frustrating to realize it may be a massive hurdle to institutingnit in code.
This unexpected twist threw me into a world where certain possibilities seemed to evaporate into the ether. The task of setting values for the tensor g_ij (the einstein tensor form utilized in the Grand Unified Theory Framework) in code had to demand a lot of intricate modifications.
I found myself utterly lost. I thought the code was specious. Before I thought to check the ricci tensor calculations, Christoffel and Riemann formations and got it running. I think it's quite scary in a way that someone could have similar code with my own or another form of Unified Theory but if they didn't have THAT sufficient of knowledge on relativity, they may never know the code worked. I feel few have attempted to embrace the tangible variations of complex frameworks within code. I wanted to share this because I thought it was interesting as an example of multidisciplinary science. Coding and physics together is always interesting and there isn't a whole lot of support or information for people venturing into these waters sometimes.
I would like to know what everyone thinks of multidisciplinary issues such as this as well, wherein one may entirely miss valuable data by not knowing what to look for, and how that may affect final results and calculations of research and experimentation. In this situation, ultimately I had to employ some of the concepts in my research document to arrive at the Ricci tensor without any formations of Christoffel or Riemann symbols in the subsequent processes. I thought that was interesting from a physics and coding perspective too. Because I never would've know how to parse this code to get it functioning without knowledge of relativity.
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There must be a lot of mysteries for you. Its pretty simply if you can read. As well, I'm sure you know with your nearly omnipotent knowledge that citations aren't instant. Try extrapolating. And consume less salt.
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I'm currently facing negative cell volume detected error because of weird mesh deformation, ig I might have made mistake in the dynamic mesh setting but I'm unable to pin point my mistake. Also the simulation occurs for a few time steps with ridiculous values of lift and drag coefficients. I'm attaching below the pictures of deformed mesh, lift, drag coefficient curves, my smoothing and remeshing parameters too. Also I'm using a udf to give motion to the cylinder body. The frequency defined in the udf is 1. I had created a total thickness inflation mesh around my cylinder which is of 5 layers, growth rate of 1.2 and maximum thickness of 0.025. Hence, I first separate the cylinder along with the 5 layered inflation from the surface body, then I give the udf motion to both the cylinder and the 5 inflation layers that I had separated. Kindly help me regarding this issue as I've been trying to solve this issue since past 3 weeks, took reference of changing the time step from various articles but still I get the same error.
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specific changes that you can make to your dynamic mesh settings:
  • Increase the mesh size. This will help to reduce the amount of distortion in the mesh.
  • Increase the frequency of the dynamic mesh updates. This will ensure that the mesh is updated more frequently, which will help to prevent it from becoming too distorted.
  • Adjust the remeshing parameters. This will help to ensure that the mesh is updated in a way that minimizes the negative cell volume errors.@Muthiah CT
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In your opinion, does the development of new online media, including online social media and the new technologies Industry 4.0 implemented into these media, including the use of artificial intelligence in these media, increase the issue of objectivity and transparency of information or rather generate more disinformation?
On the one hand, online social media, which has been developing for 2 decades now, is making a significant contribution to the development of remote online communication, social remote communication, open communication of sending content created on the fly, sending information to friends, promoting oneself and/or specific product or service offers, informal data transfer, expressing one's emotions in the information sent, including positive as well as negative emotions, and so on. In this way, online social media on a local, regional or global scale have also contributed to the objectification of information in the context of news reported in official, meanstream media. In this regard, online social media are fulfilling their role of social and objectification of media information both in countries with democratic power systems and in non-democratic, dictatorial power systems as long as they are not blocked and restricted by the power system.
On the other hand, there has long been a lot of fake news and disinformation in online social media, the transmission and forwarding by more Internet users of memes, posts, videos, banners, comments containing unverified, unconfirmed content, data and information. In addition, new ICT and Industry 4.0 information technologies, new versions of graphic and other applications are being used to generate disinformation. Also, cyber criminals and hackers breaking into social media user profiles, stealing sensitive data of social media users are also using new technologies. Recently, machine learning, deep learning and artificial intelligence technologies have also been used by cybercriminals and untrustworthy social media users to generate disinformation. As part of this, cybercriminals, hackers and unethical Internet users generating disinformation take advantage of security gaps in information systems, exploit diagnosed inadequacies in cyber security tools operating in the aforementioned social media sites. Thus, it is necessary to conduct relentless monitoring of information traffic on these portals, to identify cybercriminal, hacking, fake news and disinformation generating activities, and to improve cyber security systems, instruments, tools as efficiently and quickly as possible.
In view of the above, what prevails in recent times? Do new technologies rather help cyber criminals, hackers and foul Internet users generating disinformation, or do they rather help the development of social media portals and the improvement of cyber security systems?
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, does the development of new online media, including online social media and the new technologies Industry 4.0 implemented into these media, including the use of artificial intelligence in these media, increase the issue of objectivity and transparency of information or rather generate more disinformation?
Does the development of online media increase the issue of objectivity and transparency of information or rather generate more disinformation?
What is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
Copyright by Dariusz Prokopowicz
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I can't comment on the new technologies or Ai, but online media can certainly be used to successfully increase awareness of robust evidence on issues. If we do not support scientists and other experts to effectively communicate their findings broadly through online media and to deliver them into the conversations that are significant to dealing with the most critical issues facing our societies and planet, then we leaving a void that will be filled by less robust content.
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GPT-4 use 156 plugins. In similar approach can be use a plugin for connection GPT-4 with ResearchGate.
What is your vision about the functionality of a plugin for connection GPT-4 to ResearchGate?
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The question of creating a new generation of something similar to ChatGPT and integrating with online scientific knowledge bases
Creating a new generation of something similar to ChatGPT, which will use databases built solely on the basis of online scientific knowledge bases, online scientific portals and online scientific publication indexing databases
This is a very sensational concept. It would make sense if ChatGPT-type tools were properly improved and the system of laws for their use appropriately supplemented so that the use of ChatGPT-type tools does not violate copyright laws and that these tools are used in accordance with ethics and do not generate misinformation. Improving these tools so that they do not generate disinformation, do not create "fictitious facts" in the form of descriptions, essays, photos, videos, etc. containing nicely described, presented never and nowhere seemingly facts is to keep Big Data systems updated, update data sets and information, based on which they create answers to questions, create descriptions, photos, companies and so on. When all that I have written above would be corrected and application completed and not only in some parts of the world but on a global scale then the creation of a new generation of something similar to ChatGPT that will use databases built solely on the basis of online scientific knowledge bases, online scientific portals and online indexing databases of scientific publications would make sense and could prove helpful to people, including researchers and scientists.
Dariusz Prokopowicz
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Question to software engineering researchers and educators: which excellent recent A-rated research articles (maximum 5 years old) in the software evolution/engineering field to recommend for master-level computer science students without research background (yet). No literature surveys please. All suggestions welcome!
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They include:
  1. “Software Engineering | Software Evolution” by GeeksforGeeks
  2. “Computer Science Leaders Examine Emerging Trends in CS Education” by Northwestern University
  3. “Software evolution” by University of St Andrews
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Since the start of the COVID-19 Pandemic, many governments and private organizations allocated large sums of money to fund projects dealing with various areas related to this virus. The vaccine is the most prominent area but detection, caring and monitoring of the patients revealed that the current medical equipment is not adequate and sufficient. Are these funding going to lead to invention or innovation? have you seen any report of innovation in medical technology in your community?
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Yes, the COVID-19 pandemic is likely to serve as an engine for innovation in medical technology. The unprecedented challenges posed by the pandemic have driven the healthcare and medical technology industries to rapidly develop and adopt innovative solutions to address the crisis. Here are some ways in which the pandemic has accelerated innovation in medical technology:
  1. Vaccines and Therapeutics: The urgent need for vaccines and therapeutics to combat COVID-19 led to unprecedented global efforts in research and development. The development and deployment of mRNA vaccines, such as those from Pfizer-BioNTech and Moderna, showcased the potential of new vaccine technologies.
  2. Telemedicine and Remote Healthcare: The pandemic pushed the adoption of telemedicine and remote healthcare solutions to provide medical services to patients while minimizing in-person contact. Virtual consultations, remote monitoring, and telehealth platforms have become more widely accepted and integrated into healthcare systems.
  3. Digital Health Solutions: Contact tracing apps, health monitoring wearables, and digital health platforms have been developed or repurposed to help track and manage the spread of the virus, monitor patients' health remotely, and provide real-time data for public health officials.
  4. Medical Imaging and AI: Artificial intelligence (AI) and machine learning algorithms have been applied to medical imaging, such as chest X-rays and CT scans, to aid in the detection and diagnosis of COVID-19. These technologies have shown promise in enhancing diagnostic accuracy and efficiency.
  5. Ventilator Innovation: The high demand for ventilators during the pandemic spurred efforts to develop and produce new and more efficient ventilator models to support patients with severe respiratory issues.
  6. Rapid Diagnostic Tests: The need for quick and accurate COVID-19 testing led to the development of various rapid diagnostic tests, including antigen tests and molecular point-of-care devices.
  7. Supply Chain and Logistics Innovations: The pandemic highlighted vulnerabilities in the medical supply chain. Innovations in supply chain management and logistics have been explored to ensure the efficient distribution of medical equipment, PPE, and vaccines.
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Economics of different countries is collapsed because of COVID-19. What you think? What will be the opportunities of funding at higher studies after this Pandemic? Please share your thoughts regarding this issue. Your valuable thoughts will be highly appreciated.
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The COVID-19 pandemic has caused disruptions and changes in various aspects of higher education, including funding opportunities for international students pursuing higher studies in different countries. While the pandemic has presented challenges, it has also led to some opportunities in funding for students. Here are some potential opportunities to consider:
  1. Scholarships and Grants: Many universities and governments around the world offer scholarships and grants to attract international students. After the pandemic, there may be increased emphasis on supporting students from diverse backgrounds, including those affected by the economic impact of the pandemic.
  2. Financial Aid and Support: Some countries and institutions may increase their financial aid packages to help students overcome financial barriers to higher education.
  3. Research Funding: Universities and research institutions may focus on research related to pandemics, public health, and other fields that are crucial in addressing global challenges. This could create additional funding opportunities for students interested in these areas of study.
  4. Industry Partnerships: There might be increased collaboration between universities and industries to address pandemic-related issues and other global challenges. This could lead to funded research projects and opportunities for students to work on practical and relevant research.
  5. Online Learning Opportunities: The pandemic has accelerated the adoption of online education. Students may find opportunities to access high-quality education from prestigious institutions around the world through online programs, often at a more affordable cost.
  6. Government Initiatives: Some governments may introduce special funding initiatives or incentives to attract international students as a part of their economic recovery plans.
  7. Flexible Work and Study Options: In a post-pandemic world, some countries might offer flexible work options for international students, allowing them to support their studies financially while gaining work experience.
  8. Remote Research Opportunities: Students may find opportunities to collaborate on research projects remotely with universities and research centers around the world, which could lead to funding support.
  9. Philanthropic Contributions: Donors and philanthropic organizations might increase their contributions to support higher education and research in response to the pandemic's impact on the global community.
It is essential for students to actively research funding opportunities and stay updated on the latest developments in higher education funding. Many funding opportunities have specific application deadlines and requirements, so students should plan ahead and be proactive in seeking financial support.
Additionally, students can reach out to their prospective universities' international student offices or financial aid offices to inquire about available funding options and scholarships tailored to their field of study and background.
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  • Are you an international researcher? I am searching for some researchers who can join our projects.
  • Our last project was about COVID-19 and SARS-Cov-2.
  • In future projects, we are going to work on other infectious diseases and zoonotic diseases.
  • If you think you have high potential in research, don't waste time and send your CV by email to me at sina.salajegheh@gmail.com.
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Will the black scenarios of the futurological visions known from scence fiction films, in which autonomous robots equipped with artificial intelligence will be able to reproduce and self-improve, come true in the future?
The theoretical basis for the concept of the essence of artificial intelligence has been developing since the 1960s. Since then, black scenarios of futurological visions, in which autonomous robots equipped with artificial intelligence will be able to reproduce themselves, self-improve, become independent of human control and become a threat to humans, have been created in literature and film of the genre of scence fiction. Nowadays, in the situation of dynamic development of artificial intelligence and robotics technologies, the above-mentioned considerations return to topicality.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Will the black scenarios of futurological visions known from scence fiction films, in which autonomous robots equipped with artificial intelligence will be able to reproduce and self-improve, come true in the future?
Will artificial intelligence-equipped autonomous robots that can reproduce and self-improve emerge in the future?
And what is your opinion about it?
What is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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While the future remains uncertain, it's essential to consider the potential of autonomous robots with AI. While they won't be popping out little robot babies any time soon, significant advancements are likely. Self-improvement is already evident in AI research, but let's hope they won't outsmart us entirely! As responsible developers, we must prioritize safety and ethics to avoid any "I, Robot" scenarios. Remember, the future is what we make it, so let's aim for a world where robots and humans coexist harmoniously – a future where even the Jetsons would envy our technological prowess!
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Imagine the situation that a new different but much more perfect version of something similar to ChatGPT is built, for which each person can ask only one question, what would that question sound like?
In the current era of rapidly developing information technology, the technology of Industry 4. 0, the era of the fourth or perhaps already fifth technological revolution, in the situation of rapidly developing artificial intelligence technologies, building more and more perfect robots and androids, which, equipped with artificial intelligence, can perform a variety of activities until recently performed only by humans and until recently widely recognized as such, which only humans can perform, many new concepts are emerging, full of admiration for the modern technology of new applications of artificial intelligence, but also many new or well-known for many years but now growing in importance concerns about the development of artificial intelligence, including concerns about the consideration of the possibility in the future that the development of artificial intelligence will escape human control. In the context of, on the one hand, admiration and, on the other hand, concerns about the effects and directions of artificial intelligence development in the future, new intriguing questions are emerging. New questions, which, having the character of intriguing questions, activating creative reflection, motivating critical thinking, play a special role in the development of science. For example, this kind of question:
Imagine the situation that a new different but much more perfect version of something similar to ChatGPT is built, for which each person can ask only one question, what would this question be like?
Does this question have such a character, does it activate creative reflection, does it motivate critical thinking? I hope it does.
Please give an example of a question you would ask for a built new much more perfect version of something similar to ChatGPT, for which each person could ask only one question.
Please answer,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Why not more question?
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What role in the development of scientific cooperation is the application of ethics, culture and respect towards other people, other cultures, other value systems, etc.?
What role does the application of ethics, culture and respect towards other people, other cultures, other value systems, etc. play in the development of scientific cooperation, including the conduct of interdisciplinary research projects, scientific cooperation within the framework of international teams of researchers and scientists, within the framework of ongoing discussions on the discussion forum of this Research Gate portal?
Dear Researchers and Scientists, Friends and Colleagues,
In my opinion, answering the above question, I state that the role of applying the principles of ethics, culture and respect towards other people, other cultures, other value systems, etc. in the development of scientific cooperation, including the conduct of interdisciplinary research projects, scientific cooperation within the framework of international teams of researchers and scientists, within the framework of the ongoing discussions on the discussion forum of this Research Gate portal. Do you agree with me?
In the discussion forum of this Research Gate portal, in order to inspire discussion on various research topics, I have formulated many questions and theses.
I am glad that many of these questions turned out to inspire discussions involving many researchers, scientists, experts in a particular field, people who conduct scientific research on a particular issue, people who publish in their scientific publications the results of their research, people who are interested in a particular issue taken up in the mentioned questions posted on the discussion forum of this Research Gate portal.
I am glad that the questions posed on this discussion forum of the Research Gate portal have proved to be an inspiration for interesting discussions, in which noble researchers and scientists participate. In the course of these discussions, which sometimes take on the character of brainstorming, exchange of ideas, new inspirations for further research topics emerge, new research concepts are formed, proposals for new topics for theses are made, etc. Within the framework of the discussions held, researchers and scientists exchange their experiences of their scientific research, present their research results, inspire scientific cooperation, point out other new insights on certain issues. Thanks to this, there are inspirations for new research directions, for undertaking scientific cooperation in various topics and also for interdisciplinary research teams, etc. This is the key purpose of this discussion forum of the Research Gate portal.
However, I am very saddened when the participating researchers and scientists in the framework of the discussions held, instead of a desire for understanding, understanding, respect towards other people, the participants in the discussions representing other scientific communities, other cultures, other countries instead of respect and culture generate negative emotions, instead of substantive arguments in support of their theses turn to other Persons with invectives and negative expressions, i.e. act contrary to the principles of ethics and the basics of culture, ignoring the principles of ethics of research and science, also ignoring the principles of ethics of this discussion forum. So I very much ask you to follow the rules of culture and respect other people participating in discussions. This is important because aggression generates aggression and respect generates respect. Hopefully, looking to the future, I believe that those fortunately mentioned above situations of negative nature were few and in the future there will be none, and that on the discussion forum of the Research Gate portal, everyone participating in discussions will apply respect to other people, participants in discussions and also regardless of whether other participants in discussions represent other scientific communities, other cultures, other countries and so on.
Faced with the development of various global problems, in trying to solve these problems we should all look for what unites us and not what divides us. This is the key to the development of our scientific cooperation and also to jointly solve various global problems.
Therefore, in the situation of participating in discussions on this Research Gate portal, I therefore very much ask you to apply the principles of ethics, culture and respect for others.
And what is your opinion on this topic?
Please feel free to respond,
I invite everyone to join the discussion,
Thank you very much,
I encourage you to participate in discussions on this discussion forum on various topics,
Thank you,
I extend my warmest greetings to all participants in the discussions on the Research Gate portal,
Dariusz Prokopowicz
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In my opinion, that role in the relations between the men.
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I read an article and was intrigued by their use of discourse analysis + computational methods to track word use associations. Does anyone know suitable primers for computational content analysis? Also, they use QDA Miner-WordStat, but it's only available on PC are there MAC versions available?
I'm hoping to supplement qualitative discourse analysis with content analysis.
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Are you thinking of machine learning and natural language processing? If so, conduct an academic search for both terms together. There is a learning curve.
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Here is list of Impact factor 2023.
Journal Citation Reports 2023
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This is not the complete list ... where are all the Human Resource Management journals, for example?
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Please suggest processes and guidelines for young researchers who wish to specialize in their areas of interest.
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Specializing in a particular research area requires dedication, focused effort, and a strategic approach. Here are some steps you can follow to specialize in a specific research area:
  1. Identify your interests: Start by exploring various fields and research areas to determine where your passions lie. Consider your academic background, personal interests, and the topics that excite you the most. Narrow down your options to a few areas that you find intellectually stimulating and meaningful.
  2. Conduct preliminary research: Once you have identified potential research areas, delve deeper into each one. Read academic papers, books, and articles related to those fields. Understand the current state of research, major theories, methodologies, and recent advancements. This will give you a broader understanding of the area and help you identify gaps or areas that need further exploration.
  3. Seek guidance from experts: Reach out to experts or professors who specialize in the research areas you are interested in. Request a meeting or email them explaining your interests and seeking their advice. Experts can provide valuable insights, recommend relevant literature, suggest potential research questions, and guide you in choosing the right path.
  4. Pursue formal education: Consider enrolling in a graduate program that aligns with your chosen research area. A master's or doctoral program will provide you with a structured curriculum, access to resources, and mentorship from faculty members who are experts in the field. Take courses specifically focused on your research area and engage in discussions with professors and fellow students to deepen your knowledge.
  5. Collaborate and network: Engage with fellow researchers, professors, and students with similar research interests. Attend conferences, seminars, workshops, and research forums related to your area of specialization. Participate actively, present your ideas, and collaborate with others on research projects. Networking will help you stay updated on the latest research developments and provide opportunities for collaboration and knowledge sharing.
  6. Conduct original research: As you progress in your academic journey, focus on conducting your research in your chosen area. Start with small-scale projects, such as research papers or independent studies, to gain hands-on experience and refine your research skills. Seek feedback from mentors and peers to improve your work and contribute to the existing body of knowledge.
  7. Publish and present your work: Share your research findings by publishing papers in relevant academic journals and presenting your work at conferences. This will enhance your visibility within the research community and establish your expertise in your chosen area.
  8. Stay updated and adapt: Research fields are dynamic and continually evolving. Stay abreast of the latest research, technological advancements, and emerging trends within your specialization. Subscribe to academic journals, join relevant online communities, and follow key researchers in your field on social media. Continuously adapt your knowledge and skills to stay at the forefront of your research area.
Remember, specializing in a research area is a long-term commitment. It requires perseverance, continuous learning, and the ability to embrace challenges. By following these steps and remaining dedicated to your chosen field, you can develop expertise and significantly contribute to your research area of interest.
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As with any career, what/who motivated you to be a researcher? Do you feel that ‘you chose research’ or perhaps ‘research chose you’?
I consider myself a philosophical thinker and love new knowledge creation. I enjoy questioning, finding new facts and making new discoveries. Whats your motivation?
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Thank you, Sachin Suknunan. for your kind and positive words. Yes, I am very passionate towards what I do. You know, when one loves what s/he does, it seems that s/he does not need to work even for a day.
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Any researcher who is interested in working together in the field of Powers Electronics & Drives, Converter & Inverter Design, MPPT Techniques, Solar Photovoltaic Systems, Microgrid, EV Charging Stations. And also interested in publishing good quality paper. Kindly contact me. And also here Give your suggestion and feedback.
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We can do some collaborative work on solar power generation forecasting
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As a research scholar, I feel that a lot of time is wasted in preparing a manuscript according to a journal format. The worst part is that if the paper gets desk rejected, then we have to prepare the manuscript in some other journal style. A lot of time is wasted in this cycle.
When the paper can be type set by the journal after getting accepted, then why dont journal allow a general free format submission.
#I_support_free_format_submission
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Hello Amit Das ,
Bravo! I agree with you completely, which is one, among many reasons, why I have not submitted any articles to printed-media journals. I have found ResearchGate to be a great way to get my ideas in front of the technical public without having to worry about page limits, word count limits, endnote requirements (I prefer footnotes, myself), formatting, etc. I mean, RG allows anyone in the world, who has an Internet connection, to see your documents and download them, if they so desire. You can even find collaborators on RG, if people like what you are writing.
At the same time, I understand the need, if you are an academic, of satisfying your institution's requirements above getting your articles published in peer-reviewed journals. Publish or perish is still the law of the land in many, if not most, institutions, and it is a requirement for continued employment and career advancement.
Regards,
Tom Cuff
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Would learning about other life forms on distant exoplanets make it easier to answer the question regarding the possible purposefulness or randomness of the origin/emergence of life in the Universe?
Would the knowledge of other forms of life on distant exoplanets make it easier to answer the question of the possible purposefulness or randomness of the origin/emergence of life in the Universe and its development in evolutionary processes lasting millions or billions of years?
Man has been searching for years for a clear answer to the questions concerning the nature and possible purposefulness or randomness of the origin/emergence of life in the Universe and its development in evolutionary processes lasting millions or billions of years. On the other hand, one of the highly debatable issues is the possibility of the existence of other life forms, including other intelligent life forms on exoplanets many millions of light years distant, located in other planetary systems, other constellations, other stellar constellations, in other galaxies. At present, the most perfect instrument for photographing cosmic objects millions or even billions of light years away that man has built so far is the James Webb Space Telescope. Perhaps with the help of this telescope it will be possible to take photographs of distant exoplanets similar to our planet Earth, which exist in other planetary systems at distances from suns that allow life to originate and develop in the form of evolution on them. If man ever manages in this way to unambiguously confirm the existence of other forms of life on distant exoplanets, then, taking into account the number of galaxies in the known Universe numbering in the billions, the potential number of exoplanets with other forms of life on them can then also be estimated in relatively large numbers. If this is the case, then the question of resolving the possible intentionality or randomness of the emergence, or in fact the multiple and independent emergence of life on many exoplanets many millions of light years distant from each other in the known Universe will also significantly change its interpretative character. In view of the above, an affirmative and unambiguous answer to the question regarding the possible intentionality or randomness of the multiple and independent from each other origin of life on various exoplanets that are many millions of light years distant from each other, i.e. in a situation of unambiguous confirmation of the existence of other forms of life on distant exoplanets, the question of the possible expediency or randomness of the multiple emergence of life in the Universe and its development in processes of evolution of various forms of life lasting millions or billions of years repeatedly, and perhaps also the independent, multiple emergence of intelligent forms of life and of the more or less technologically advanced civilisations built by these various intelligent forms of life should be greatly facilitated. Perhaps with the finest telescope yet built, i.e. the James Webb Space Telescope, it will be possible to photograph exoplanets millions of light years away and obtain evidence of the existence of other life forms on these distant exoplanets similar to our planet Earth. And when this has been achieved, then perhaps the answer to the other questions above will already be facilitated.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Would the knowledge of other forms of life on distant exoplanets facilitate the answer to the question concerning the possible expediency or randomness of the origin/emergence of life in the Universe and its development in evolutionary processes lasting millions or billions of years?
What is your opinion on the subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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One simulation produced by the GoL-N24 Python software, see the link in the previous answer, where two-level (multi-scale) emergents are spontaneoulsy arising from almost any randomly chosen intial conditions.
When we think about this simulation from the biological point of view, life-like processes are easy to make when we know how.
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The use of AI in research writing is growing these days, and on the other hand, studies show unethical concerns for the same. Hence, it is important to get your kind attention about this.
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Here are some tips on how to use ChatGPT or AI tools ethically in scientific writing:
Use AI tools to enhance your writing, not replace it: AI tools can support and improve scientific writing, but they should not replace human input entirely. Ensure that you have a thorough understanding of the topic and the research before turning to AI tools to incorporate relevant information.
Cite your sources accurately: When using AI to generate content, ensure that it provides accurate citations for the sources used. Verify that the sources are credible to avoid any misinformation in the research literature.
Avoid plagiarism: Using an AI tool does not exempt you from plagiarism. Ensure that the content generated is not a direct copy from any existing work. Carefully review the content to ensure proper attribution of ideas.
Respect the ethical guidelines: Follow ethical guidelines set by scientific communities and the journal publishing the research paper. Avoid using AI tools to distort results to advance specific agendas.
Keep AI use transparent: Be transparent about the use of AI in your writing. Disclose the use of AI tools in your work and maintain complete control over your content.
AI tools can be a useful resource in scientific writing, but it's important to use them ethically. Always prioritize human involvement and ensure that AI tools support, rather than replace, human input. Use them transparently, citing sources accurately, avoiding plagiarism, and respecting ethical guidelines.
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In order to continue my research on the meaning of life, I would like to share the following validated questionnaire:
It is completely anonymous and is completed in less than 5 minutes.
I really appreciate the participation and dissemination.
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Dear Javier,
Your questionnaire is in Spanish and my command of Spanish is minimal.
However I can recommend you work from Carl Jung on your subject and work from Bruce McArthur on work of Edgar Cayce on his readings on universal laws applicable on our life.
Lots of success with your research.
Best regards,
John Borking
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Please share here the links to your favorite Researchgate projects, be it your own or somebody else's, before they go away on March 31. To get things started, here's the link to my own project
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Some RG projects were archived and can be found at e.g. this link: