Science topics: PhilosophyScience
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The study of natural phenomena by observation, measurement, and experimentation.
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Hello ResearchGate community,
I hope this message finds you all well in 2025. I am Ionut Cristian Scurtu, with a strong background in Environmental Sciences, Engineering, Energy & Fuels, and Materials Science, currently based at the Mircea cel Batran Naval Academy and Constanta Maritime University.
With a portfolio of 27 publications indexed in Web of Science and an H-index of 4, my research primarily focuses on innovative solutions for sustainable development and technological advancements. I am eager to expand my network and collaborate with like-minded researchers who are committed to making a significant impact through scientific research.
I believe that through collaborative efforts, we can enhance our research profiles and contribute more effectively to our fields. Whether it's sharing resources, co-authoring articles, or developing new research proposals, there is tremendous potential in partnership.
I invite all interested researchers to connect with me here on ResearchGate or directly through my Web of Science profile (O-2089-2018). Let's discuss how we can work together to create research that not only advances our understanding but also provides practical solutions to global challenges.
Looking forward to your thoughts and hoping to collaborate soon!
Best regards, Ionut Cristian Scurtu
See my profile:
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I have recently published a paper in the Skeptical Inquirer review (Volume 48, No. 6, Nov./Dec. 2024): https://skepticalinquirer.org/2024/10/is-science-progressive-or-conservative/.
I would love to read your reactions!
Here is the introduction (you can read more if you click on the link above + the great audio version):
In our modern world, we consider science to naturally go hand in hand with progress.1 These two concepts are almost perceived as synonyms. Science is progress; I believe in science as I believe in progress. We then consider ourselves progressive, as supporters of progress, “moving forward” in the etymological sense of the word. Progress is often opposed to conservation, with the latter being seen as a symbol of inertia, i.e., resistance to change. In the eyes of the general public and progressive intellectuals, science—which is constantly advancing—cannot be conservative. By conservative, I mean preserving, safeguarding, and maintaining things, structures, and unchanging ideas. But is science only progressive?
Scientific ideas are often seen as revolutionary, wiping away the past, the tabula rasa. However, while ideas evolve, change, and modify, they still preserve certain older ideas that inspire the new ones. In this sense, we will see that science preserves more than it changes. But this is not opposed to progress. Actually, the foundation of science itself obeys a law of conservation, despite being in constant motion. As for scientists, Albert Einstein is the famous symbol of both scientific and political progress (Person of the Century 1999). We often hear that he revolutionized physics and our understanding of nature. However, the historical reality is more complex than we think. Einstein could be a staunch conservative in many aspects, while other scientists who are perceived as more conservative were more open to progress.
This article examines the contradictions and hesitations between progress and conservation inherent to science and the people who shape it through the illustrious example of Einstein. We will defend the thesis that sciences are built in the image of nature, i.e., preserving what needs to be preserved and constantly evolving to endure. At the end, we will support the idea of the existence of a complementarity rather than a dichotomy between progress and conservation in the construction of science.
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Interesting topic Mathieu. I regard science as neutral; it is knowledge. But how people use it can be positive (the "fix it" scientists, blindly going forward); or conservative
(ecological scientists - I'm one - who realise the only safe future for humanity and the planet now, is to turn back).
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Challenging established theories and providing solutions to long-standing problems in physics is no small feat. It has been proven now in the latest research that the second law of thermodynamics is wrong (Entropy is Constant) and that the Arrow of Time is T-symmetric. This could have significant implications for our understanding of the universe. This actually changes physics as we know it for sure, as science will never be the same again after the findings that has already been published in an accredited peer reviewed international journal (see the paper below for details).
Do you guys agree to the findings? The proof is simple to read yet powerful enough to wrong the traditional laws of science. If not, please provide a reason why? We have had some very interesting discussions so far on other topics and I want to keep this channel open, clear and omni-directional!
Sandeep
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Dear Cynthia,
Thank you for your message and for bringing the DOI link issue to my attention. I will look into it promptly.
I appreciate your recommendation of Quantum Physicist Dr. Rulin Xiu's work. I am familiar with her contributions, particularly in unifying science and spirituality. Her paper, "Law of Creation and Grand Unification Theory," co-authored with Dr. Zhi Gang Sha, presents intriguing perspectives on the fundamental principles of the universe.
Additionally, her discussions on the "Quantum Theory of Consciousness" offer valuable insights into the interplay between quantum physics and consciousness.
Thank you for sharing these resources. I look forward to exploring them further.
Best regards,
Sandeep
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Fighting misinformation in climate science requires a combination of education, communication, and strategic engagement. Here are some key approaches:
1. Strengthen Scientific Literacy
  • Encourage critical thinking and scientific reasoning.
  • Provide accessible, reliable sources of climate science (e.g., IPCC reports, NASA, NOAA).
  • Promote understanding of how the scientific method works to help people distinguish between credible research and misleading claims.
2. Fact-Check and Debunk Myths
  • Use fact-checking organizations like Climate Feedback or Skeptical Science.
  • When debunking misinformation, use the “truth sandwich” method:State the correct information. Address the misinformation with context. Reinforce the correct information.
3. Improve Communication Strategies
  • Avoid overly technical language; use simple and clear explanations.
  • Focus on relatable impacts (e.g., extreme weather, health risks, economic effects).
  • Use compelling visuals and storytelling to make data more engaging.
4. Engage on Social Media
  • Correct false claims when you see them, but avoid confrontational debates.
  • Share credible sources and support science communicators.
  • Encourage media literacy—help people recognize misleading headlines and manipulated data.
5. Support Policy and Institutional Responses
  • Advocate for better regulations on misinformation (e.g., holding media accountable).
  • Support climate education in schools and public institutions.
  • Engage policymakers with accurate scientific evidence.
6. Build Public Trust in Science
  • Highlight consensus: Over 97% of climate scientists agree on human-caused climate change.
  • Show real-world examples of climate action success stories.
  • Address skepticism with patience and respect—many people distrust science due to political or ideological influences rather than facts.
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Thanks for your reply.
I completely agree with you that cold weather is also a significant concern. A 2015 study published in The Lancet, which analyzed data from 13 countries, found that cold weather is responsible for approximately 7.3% of all deaths, whereas heat accounts for only 0.4%. This means that cold-related mortality is nearly 18 times higher than heat-related deaths. Cold exposure increases the risk of heart attacks, strokes, and respiratory diseases.
However, cold weather is generally predictable—weather forecasts are often accurate in this regard—and it is unlikely to pose the greatest threat to our human specie. In contrast, air pollution is responsible for approximately 25% of all deaths, making it nearly four times deadlier than cold. Modern climate change is largely driven by air pollution, establishing a clear link between the two.
On the other hand, sudden catastrophic floods can strike without warning, while extreme heat and drought contribute to devastating wildfires—such as the recent fires in California and Canada —resulting in significant loss of life and property damage. These extreme events are increasing in frequency, whereas occurrences of extreme cold weather are slightly declining. Therefore, while cold should not be dismissed, it does not warrant the highest level of concern. From an economic point of view, cold mortality is not a big deal when you compare to devastaion of wildfires, hurricanes, floods, etc.
Now, addressing your concern:
"Would you be consistent in holding so-called climate activists accountable for spreading misinformation as well?"
I am interested in discussing science and the ways in which some scientists distort it. However, I am not concerned with what is reported on social media, platforms like X, or television. If you can provide specific examples of real scientists spreading misinformation about the threats posed by climate change, I would be happy to examine them. It is crucial to separate scientific discourse from the rhetoric of uninformed social media narratives.
cc;
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How does generative AI technology help in scientific research, developing research projects, conducting scientific research, collecting research data, processing data collected from scientific research and developing the results of research work?
From many data, situations, examples, etc., it is clear that generative artificial intelligence (AI) technology significantly supports scientific research at every stage of its implementation, from concept design to the development of results. In the preparation phase of research projects, generative AI can help analyze scientific literature quickly and comprehensively. Natural language processing algorithms make it possible to search for relevant publications, identify key trends in the literature and pinpoint research gaps. This allows researchers to create more precise research questions and legitimate hypotheses, which is crucial to the quality and value of research. But does generative artificial intelligence technology help research mainly in terms of processing large data sets in a relatively short period of time, or is it also helpful in many other issues of ongoing scientific research? And how about the ethics and objectivity of conducting scientific research? Does generative artificial intelligence technology help with these issues as well?
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Please write what you think in this issue? Do you see rather threats or opportunities associated with the development of artificial intelligence technology?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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Using GenAI for the REF is a no-brainer
"There is a growing interest in how Generative AI can be used to support and streamline research assessment processes. Richard Watermeyer and Lawrie Phipps argue the standardisation and formulaic nature of REF assessment, alongside its cost, make it a prime candidate for where generative AI could relieve academic drudge work...
Yet there are reasons why GenAI in REF processes might be resisted, which have to do with the potential harms of outsourcing peer-review as a human activity to machine intelligence, and in corollary, therefore, concerns of bias, inaccuracy and even de-intellectualisation. There may also be quite plausible concerns of how GenAI tools may be misappropriated by institutions in terms of leveraging unfair advantage and in further exacerbating a culture of gamesmanship already endemic to the REF. GenAI might for instance offer competitive advantage for (those institutions that use it explicitly or tacitly in) selecting, against norm-referenced criteria, the most competitive research outputs and impacts for submission. Yet GenAI might also conceivably, with its ongoing optimisation, provide greater rigour and accuracy to what can be habitually subjective determinations of research excellence, particularly in the context of impact evaluation.
Maybe the REF is just the kind of academic drudgery that GenAI’s use may be reasonably justified for and arguably with less concern of ethical breach or even human betrayal. Could it even provide greater credibility to claims of public accountability for the money spent on UK research? Where so much of the REF’s work may be experienced as an unjustifiable tax on universities – at a point of peak financial vulnerability – and unnecessary incursion on researchers’ ever depleting time the human cost of being without GenAI is surely greater, perhaps on this rare occasion, than with..?"
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Conniff, Richard (June 1982). "The name game". Crosscurrents. Science 82. 3 (5): 66–67.
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Thanks
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New backgrounds of ruling elites
According to some, the world today is led by a different cast or group, based on their educational levels and academic backgrounds: economists, social scientists, academically mediocre politicians relative to past generations.
Skepticism about the success resume of the new elites
One has to see how the policies in favor of WHO (World Health Organization) and Green Economies and Zero Carbon in the last decades, policies that have the signature of these elites (social scientists, illiterate politicians , economists etc) have failed to yield.
There is no prejudice to these professions or academic areas, it's just a question of wheaher their training and philosophy is safe for taking all the basic decisions, which happens for the first time in the world, because the later influences invisibly the later.
The arguments
1. Among its refuters, among them many phsycisists and "hard science" minded people believe these policies illogical, and theoretically if you look at the real Physics and Chemistry they are all wrong.
2. Hard scientists are eager to realize first, due to their essence-based and realistic thinking which they are academically trained, is nothing but a false narrative to support financiers and profiteering without any real tangible effect, cause, or real product/economy generation and employment.
"That is what you get when these illiterate politicians and economists and social science mediocres take over a society", a hard science friend seems to claim.
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The argument that illiterate politicians or social scientists taking over leadership roles is a source of global troubles has some merit but also requires careful examination. Leaders lacking education or knowledge in governance, economics, or social sciences may struggle to make informed decisions, address complex challenges, or implement effective policies. This can lead to poor management of resources, corruption, and inadequate responses to crises. However, literacy or formal education alone does not guarantee good leadership. Emotional intelligence, ethical judgment, and a genuine commitment to public welfare are equally important. Troubled times often arise from a combination of factors, including systemic inequalities, geopolitical tensions, and economic instability, rather than solely from the educational background of leaders. While education is a valuable tool, strong leadership also depends on integrity, experience, and the ability to inspire and unite people toward common goals.
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relationship
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follow
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The concept of what lies beyond the observable universe is a fascinating topic that combines science, philosophy, and speculations like: Unobservable Universe, Different Physical Laws, The Multiverse Hypothesis, Infinite Universe and so on.
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Abdul, I recommended your answer :-)
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The Impact of Open-Access Publishing on Academic Research
Open access (OA) publishing has revolutionized the landscape of academic research, making scholarly work more accessible to a global audience. This article explores the rise of open-access publishing, its benefits and challenges, and provides insights into the future of academic publishing in an open-access world.
Definition and History of Open Access Publishing
Definition: Open-access publishing refers to the practice of providing unrestricted online access to scholarly research. This means that anyone can read, download, and share the content without subscription fees or access barriers.
History: The concept of open access emerged in the early 2000s as a response to the rising costs of journal subscriptions and the limited accessibility of research. Key milestones include:
• Budapest Open Access Initiative (2002): This declaration called for the free availability of research literature on the public internet.
• Berlin Declaration on Open Access (2003): This statement further promoted the principles of open access and encouraged researchers to make their work freely available.
• Public Library of Science (PLOS): Founded in 2001, PLOS became one of the leading open-access publishers, demonstrating the viability of the OA model.
Benefits of Open Access for Researchers and the Public
1. Increased Accessibility: Open access removes paywalls, allowing researchers, students, and the public to access scholarly work without financial barriers. This democratizes knowledge and promotes educational equity.
2. Greater Visibility and Impact: Research published in open-access journals is more likely to be read and cited, increasing the visibility and impact of the work. This can lead to greater recognition and career advancement for researchers.
3. Faster Dissemination: Open access accelerates the dissemination of research findings, enabling timely access to new knowledge. This is particularly important in fast-moving fields like medicine and technology.
4. Collaboration and Innovation: By making research widely available, open access fosters collaboration across disciplines and institutions. This can lead to innovative solutions to complex global challenges.
5. Public Engagement: Open access allows the public to engage with scientific research, enhancing public understanding and appreciation of science. This can lead to more informed decision-making and policy development.
Challenges and Criticisms of Open Access
1. Funding and Sustainability: Open access publishing often relies on article processing charges (APCs) paid by authors or their institutions. This can be a financial burden, particularly for researchers from low-income countries or institutions with limited funding.
2. Quality Concerns: Some critics argue that the open access model may compromise the quality of peer review and editorial processes. Predatory journals, which charge fees without providing rigorous peer review, have emerged as a significant concern.
3. Intellectual Property: Open access can raise questions about intellectual property rights and the protection of authors' work. Ensuring proper attribution and preventing misuse of open-access content are ongoing challenges.
4. Equity Issues: While open access aims to democratize knowledge, the reliance on APCs can create inequities. Researchers from well-funded institutions may have an advantage over those with fewer resources.
The Future of Academic Publishing in an Open-Access World
1. Evolving Business Models: The future of open-access publishing will likely involve diverse business models, including institutional funding, consortia agreements, and transformative agreements that shift subscription costs to open-access fees.
2. Enhanced Quality Control: To address quality concerns, the academic community will need to develop robust mechanisms for peer review and editorial oversight. Initiatives like the Directory of Open Access Journals (DOAJ) help maintain standards by listing reputable open-access journals.
3. Global Collaboration: Open access will continue to promote global collaboration, enabling researchers from different regions to contribute to and benefit from shared knowledge. This can lead to more inclusive and diverse research outputs.
4. Technological Advancements: Advances in technology, such as artificial intelligence and blockchain, may enhance the efficiency and transparency of the publishing process. These technologies can improve peer review, track citations, and ensure the integrity of research.
5. Policy Support: Governments and funding agencies are increasingly supporting open access mandates, requiring publicly funded research to be freely available. This policy support will drive the growth of open access and ensure its sustainability.
In conclusion, open-access publishing has had a profound impact on academic research, increasing accessibility, visibility, and collaboration. While challenges remain, the future of academic publishing in an open-access world looks promising, with evolving business models, enhanced quality control, and technological advancements paving the way for a more inclusive and equitable research landscape. By embracing open access, the academic community can ensure that knowledge is freely available to all, driving innovation and progress for the benefit of society.
#Research #Writing #WorkLifeBalance #AcademicLife #PhDLife #GradSchool #Thesis #Dissertation #AcademicWriting #Research #publishing #TimeManagement #openaccesspublishing #academicresearch #hamnicwriting #hamnicsolutions
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Europe launches hub to boost diamond open access publishing
"Meanwhile, 10 organisations agree to fund broader remit for Open Research Europe publishing platform
An initiative to support European efforts to provide open access to research papers via the ‘diamond’ funding model has officially launched.
Under the diamond model, papers are made freely available to readers at no cost to their authors, with the cost instead covered by broader institutional funding..."
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educational sciences
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The scale must include paragraphs, which is the most important step.@
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Time reversal has long been regarded as an abstract concept, limited to theoretical models or microscopic quantum experiments. However, my recent groundbreaking research—DOI: 10.13140/RG.2.2.27077.15845—proves that time symmetry is not only real but also extends to the macroscopic level, redefining our understanding of entropy, causality, and the very flow of time.
This research challenges the long-held belief in an ever-forward arrow of time by demonstrating mathematically that entropy can remain constant, enabling time reversal in larger systems. Such findings push us to ask:
  • Can time reversal allow us to reshape the future, not just revisit the past?
  • Could this principle be applied to real-world scenarios, such as regenerating ecosystems, reversing diseases, or preventing disasters before they occur?
  • And perhaps most profoundly—can this breakthrough help us explore timeless and spaceless realms, such as the pre-Big Bang era, where conventional physics breaks down and God’s science may begin?
I invite the research community to share insights on:
  1. Applications of time reversal in both scientific and metaphysical contexts—how far can we push the boundaries?
  2. The implications of a constant entropy model—how does this challenge thermodynamics and our understanding of causality?
  3. The pre-Big Bang question—can we scientifically explore what existed when there was no time or space?
Let’s come together to advance this dialogue and uncover whether science beyond science can finally bridge the gap between physics, metaphysics, and divinity—unlocking answers to the mysteries that have puzzled humanity since the dawn of time.
Join the discussion—your insights can shape the future of time!
Read my original research article in this regards below, also available on my profile site!
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Thank you both for your constructive comments. And, Sandeep, thank you for your clever rendition of the lines from The Rubaiyt of Omar Khayyam.
I have no doubt that you are sincere in your dedication to your research on time reversal, Sandeep, but I fear that your introduction of spirituality into the mix distracts from the credibility of your science. Science and spirituality tend to make uncomfortable bedfellows, at best.
You wrote: "To contemporary physicists, this may seem like an unattainable science beyond science, but ancient civilizations, particularly in India, mastered these principles long before they were relegated to mythology." With all due respect, however, if ancient civilizations had mastered these principles, why did they not use them to turn our world into an eternal paradise? Sadly, I fear that the world we see now falls far short of what many of us would consider to be a paradise.
In case you may not be aware of it, there is another discussion group at ResearchGate that goes by the title "Can philosophy help to innovate and develop scientific theory?" I can't help wondering whether your mix of science and spirituality might find a more comfortable fit on that discussion group? Regardless, I wish you well with your work on time reversal.
Best Regards,
JCNS
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I am investigating how advanced technologies, such as artificial intelligence, can influence ethical frameworks and societal structures. Specifically, I am interested in:
  • Theoretical perspectives on the integration of technology into education.
  • Case studies or examples illustrating the impact of technology on moral philosophy.
  • How technological innovation reshapes the philosophy of science and knowledge systems.
Any insights, references, or relevant research would be greatly appreciated!
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I'm reading a book (published Sept. 2023) at the moment that seems to address most of your questions: The Coming Wave, by Mustafa Suleyman (he started the AI companies DeepMind and Inflection AI). His main concern is how to deal with, or contain, the great dangers (weaponization) of such technology. Our newfound capabilities (genetics and nanotech) of creating new lifeforms certainly will have an effect on moral philosophy. Also affected will be education (individualized, Socratic-style education) and knowledge systems (e.g., the self-training neural networks of AI, and quantum computing).
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I believe Einstein provided one of the most intriguing designs for an experiment. Let me illustrate this with an example.
  • First, imagine using a blindfold. To make it more scientific, instead of a blindfold, you must enter a laboratory with no windows. Now, unable to see the outside world, you are free to conduct experiments to determine whether you are accelerating in the universe or at rest on a planet.
  • Through "thought experiments", Einstein concluded that no experiment conducted by a "blindfolded" scientist could resolve this dilemma.
  • Even if you think of a few experiments that could help determine your status, there is always a way to render those experiments ineffective. For instance, Einstein suggested you could reduce the height of your laboratory to an extremely thin layer, making such experiments impossible.
And that’s it — with this design of experimentation, we can propose a new paradigm shift in science.
Kindly refer to the attached presentation for further details.
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In the thread rather popular discussion about what "thought” and “real” experiments" are, happens; and it looks as that the position that
“…No thought experiment can prove a theory right or wrong, …”
- in the discussion is admitted as is correct; this is admitted as is correct in rather numerous other discussions on RG, where non-professional scientists take part, also, though.
The claim really is principally wrong, first of all since there cannot be principally some “purely non-thought experiments”, every real experiment is made aimed at testing of some “purely thought” product – a theory, and so every experimental result isn’t only “some digits on some instruments screens’, the result always is “the digits + interpretation in framework of the theory
Correspondingly some digits can be interpreted in a number of theories, and the results can be well different, however “confirm”, all theories, etc.
Say, long time experimental “digits” that Sun rotates around Earth well confirmed the theory that Sun rotates around Earth.
Etc. - moreover mainstream physics, first of all the SR?GR are based on postulates that Matter’s spacetime can be impacted by material objects as “space is contracted”, “time is dilated” , “spacetime is curved” [again etc. ] - despite that nobody and never directly observed experimentally any contracted/dilated/ curved spacetime.
At that really, as that rigorously scientifically proven in the Shevchenko-Tokarevsky’s really philosophical 2007 “The Information as Absolute” conception [more see, say, the compact but rather complete consideration of this point in https://www.researchgate.net/publication/387933457_A_response_to_question_What_is_the_The_Information_as_Absolute_conception ] all these postulated in the SR/GR the spacetime properties and effects are some illusory interpretations of real experimental “digits”.
Besides: really “thought experiments” are one of the main obligatory approaches at development and experimental testing of any real theory, including all real experiments before their realizations are made, are made as often numerous “thought experiment” versions, utmost reliable ones are realized as real experiments;.
Again etc., and again moreover – one of principal criteria of any theory validity is that from theory postulates [which are based on experimental digits, however are interpretations of the digits] no any senseless consequences must follow, and this criterion is applied mostly as just “thought experiments”.
One of utmost known now is the Dingle’s “thought experiment” that considers relative motion of two inertial reference frames, from which completely rigorously scientifically it follows that the SR postulates that there is no absolute Matter’s spacetime and that all/every IRF are absolutely equivalent and legitimate are wrong, since from the postulates completely rigorously it follows that both observers in the frames age simultaneously faster and slower each other, what is evident nonsense;
- and, moreover, from this thought experiment so completely rigorously by completely rigorous “Proof by contradiction” follows the really fundamental point in physics that Matter’s spacetime is absolute, etc.
The post is rather long already, so now
Cheers
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Can it be proven that scientific results reflect the truth? If not, would science have any significance beyond professional reasons?
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In simpler terms, if I conduct a t-test and the t-statistic is t = 2.5; this result by itself is not a truth-statement. It simply IS the result. It would be just as absurd to ask whether the number "5" is true or false.
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Is the valuation of cryptocurrencies determined by, among other things, political information posted on online social media?
Is one of the important factors influencing the valuation of cryptocurrencies the information posted on online social media from the world of politics?
In early December 2024, the price of Bitcoin exceeded the psychological level of $100,000. Besides, the value of the entire Bitcoin market exceeded the global valuation of silver reserves. In 2024, the price of Bitcoin has already risen more than 50 percent. However, investing in cryptocurrencies carries a high risk of incurring financial losses, because just as cryptocurrency valuations can rise quickly they can also fall even faster. Investment strategies vary, and in these strategies speculative investors rely on various types of information appearing in various media, including online social media. It happened more than once that large changes in the valuation of specific cryptocurrencies that took place in a relatively short period of time were influenced by entries, posts, short information posted on online social media by media-recognized individuals. In addition, it was sometimes difficult for Internet users to verify the question of reliability of these entries, posts, not always fully confirmed information.
I described the applications of Big Data technologies in sentiment analysis, business analytics and risk management in an article of my co-authorship:
APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION
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,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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Effectivement, le bitcoin est influencé par les informations politiques publiées sur les réseaux sociaux. C'était le cas lors des dernières élections américaines avec la nomination du président Donald Trump où on a assisté à l'augmentation de la valeur du bitcoin. Toutefois, on aura besoin d'une étude plus précise pour évaluer l'impact de ces informations
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Subtitle: Will all the fundamental researchers be fired from their jobs in the future and fundamental research become obsolete?
This is a philosophical but also practical question with immediate implications to our not so far future.
The danger is that AI applications in science like AlphaFold (Nobel prize in Chemistry 2024):
are not really predictions made by science by fully and fundamentally understanding nature's physics mechanics and chemistry but just brute force smart computational pattern recognition correlating known outcomes of similar input data and guessing the most likely new outcome. This is not new fundamental science and physics research but just an application of AI computation.
The philosophical question here is, will future scientists and human civilization using AI, continue to be motivated to do fundamental science research?
Is there really any real human urge to fundamentally understand a physical phenomenon or system in order to predict its outcome results for a specific input, if the outcome results can be easily and much faster and effortlessly being empirically and statistically guessed by an AI without the need of fundamental understanding?
This is a blind and mutilated future science and future danger of slowing down real new fundamental science breakthroughs and milestones. Therefore, essentially slowing down human civilization progress and evolution and demoting science to the role of a "magic oracle".
In my opinion, the use of AI in fundamental research like fundamental new physics research must be regulated or excluded. Already many science Journals have strict rules about the use of "Generative AI" inside the submitted papers and also completely not allowing it.
What are your opinions and thoughts?
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Science has failed for the last one hundred years, so now they are looking for a scapegoat. AI is irrelevant since it's an oversized data calculator and nothing more. I do not know what "fundamental science research' is. A guy sitting at an office desk with coffee pots and a chalkboard? I have used a slide ruler for most of my life, and I still have a full set of Encyclopedia Britannica. The question as it is posed is a moot point! Should Academia fire scientists? I say no, but eliminate tenure and let science compete for ideas.
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What are the pressing research points in science teaching?
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I firmly believe that the key to effective science teaching lies in understanding how our students learn individually. By identifying and valuing the different learning styles present in the classroom, we can tailor our pedagogical strategies to ensure that every student feels motivated and reaches their full potential. Models like REAPSES remind us of the importance of considering the diversity of learning styles, from the more theoretical students to those who prefer hands-on experimentation. As teachers, we must step outside of our comfort zones and design activities that cover a wide range of interests and skills, thereby fostering more meaningful and lasting learning.
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I am trying to measure serum neurofilament light chain in Multiple Sclerosis patients but I cannot find in the current student what is the required volume of the serum from each sample.
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The history of science is part of the history of the freedom to observe, to reflect, to experiment, to record, and to bear witness. (Alan Gregg)
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I am asking why erotic content is banned on social media - apart from Twitter. This has nothing to do with poetry, which is rarely sexual content. I cannot provide adult sex education on most forums because any explicit mention of genitals or sexual activity is censored. This is due to women's dislike of erotic content. Most of my supporters are male. Women prefer to shut down sexual discussions rather than participate even when they focus on female sexuality. This leads to sexual ignorance in the population because men have only their fantasies and porn to rely on.
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I am reaching out to solicit your expertise in challenging and scrutinizing a theory I have been developing over the years. The purpose of this request is to identify counterarguments, weaknesses, and additional variables that I might not have considered in order to deepen my investigation and understanding. While I have explored this topic extensively through introspection and personal analysis, I believe that the nuanced perspectives of others—particularly from the research community—are essential to refining or even debunking the theory. AI tools have proven insufficient in providing the depth of critique required, which is why I turn to you for human insights.
The central premise of my theory is that consciousness operates independently from the brain and body, and that emotions are subjective constructs rather than biological facts. Below is a brief explanation of this perspective:
  1. Consciousness as Independent from the Brain-Body System While the brain and body engage in complex, automatic communication, much of this interaction occurs beneath the threshold of conscious awareness. The body's physiological responses—such as changes in heart rate, muscle tension, or autonomic nervous system activity—often precede and operate independently of conscious recognition. These processes can be likened to a "language" that the conscious mind does not fully interpret or control. For example, during a stress response, the body initiates fight-or-flight mechanisms (e.g., increased heart rate, heightened senses) based on evolutionary instincts and biochemical processes. Consciousness may only interpret these changes after they occur, suggesting that it functions on a different plane than the brain-body.
  2. Emotions as Subjective Interpretations Emotions are not inherently tied to biological or cultural factors but are instead the result of individual conscious interpretation. Two people with identical biological makeups can experience the same event yet interpret it differently, leading to divergent emotional responses. This underscores the idea that emotions are subjective constructs created by consciousness. The brain-body system sends signals (e.g., physical sensations, postures, reactions) that the conscious mind interprets. These interpretations, rather than the biological signals themselves, constitute what we perceive as emotions.
To illustrate this theory, consider the relationship between Earth's internal processes and its surface:
3 .Earth’s Core = Brain-Body:
Earth’s internal core operates autonomously, sustaining life through processes like plate tectonics and magnetic fields. Similarly, the brain-body system sustains human life through involuntary functions like digestion, heartbeat, and stress responses.
4. Earth’s Surface = Conscious Mind:
The surface represents the conscious layer, where human activity, decisions, and behaviors take place.
Consciousness interacts with and interprets signals from the brain-body system but is not directly controlled by it.
5. Interdependence and Autonomy While the core and surface are separate, they are also interdependent. The core sustains the surface by providing stability, while the surface shapes external interactions. Similarly, the brain-body sustains consciousness by maintaining life, while consciousness influences external experiences and actions.
6. Autonomy of the Internal Core The Earth’s internal processes continue regardless of surface activity, just as the brain-body connection operates independently of consciousness (e.g., in unconscious states or comas).
7. Conscious Influence on Balance Conscious decisions, such as managing stress or practicing mindfulness, can enhance the brain-body connection, much like environmental restoration can improve Earth’s surface conditions. Conversely, harmful behaviors can disrupt this balance.
8.Consciousness and Biological Events Birth, puberty, bodily needs, and death occur at a biological level beyond full conscious control. While consciousness can influence thought and behavior, it remains distinct from the deeper, automatic functions of the body.
This theory—particularly the idea that consciousness operates independently of the brain and body and that emotions are subjective interpretations—is a work in progress. I recognize that it may contain oversights or conceptual gaps, which is why I am seeking counterarguments, alternative perspectives, and critiques to challenge its validity.
Specifically, I am interested in:
  • Arguments or evidence that refute the independence of consciousness from the brain-body connection.
  • Scientific or philosophical perspectives that demonstrate emotions as biologically or culturally inherent rather than subjective constructs.
  • Additional variables or dimensions I should consider to refine or re-evaluate this theory.
This post provides only a brief overview, but I am happy to provide further details or clarifications upon request. Your insights and expertise would be invaluable in advancing this exploration, and I greatly appreciate any contributions to help strengthen or dismantle this framework.
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Hi Jairo,
You might want to check Eben Alexander's writings if you haven't already. He's a neurosurgeon who writes about his experiences while unconscious. Here's one write up. http://ebenalexander.com/about/my-experience-in-coma/ He als wrote a book on his experiences available on Amazon. He actually says he had no brain function. Good luck! Looking forward to seeing your next theory write up.
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What professions, professional professions performed by people are not threatened by the development of artificial intelligence technology?
Until relatively recently, the prevailing opinions were that among the professions, professional professions performed by people, which are not threatened by the development of artificial intelligence technology mainly included highly creative professions in which people demonstrated creativity. Recently, the prevailing opinions on the subject are changing, as the professions performed by humans now include those highly creative mental jobs and the least threatened are those that are mainly relatively simple physical jobs performed in the field. Yet the pace of technological advances being made within AI technology has been very rapid recently. Consequently, the currently dominant opinions in the issue of the impact of AI technologies on labor markets may also quickly become outdated.
I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Please write what you think in this issue? Do you see rather threats or opportunities for labor markets related to the development of artificial intelligence technologies?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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In recent years, there have been various theories, sometimes partially contradictory to each other, about the impact of AI development on labor markets. Some researchers on this issue advocate pessimistic theories suggesting serious threats to labor markets due to the development of AI technology and its various applications resulting in AI taking jobs away from people. On the other hand, there are researchers of this issue who claim that new technologies and solutions and applications of AI will rather generate a lot of new jobs, new professions and occupations performed by people using certain applications equipped with AI.
What do you think will be the impact of AI development on labor markets? Do you favor rather negative or positive scenarios for the labor markets that will develop in the future under the influence of the development of various applications of AI technology? In your opinion, will artificial intelligence take jobs away from people in the future, or will the development of AI, its applications, the emergence of new applications equipped with AI, more AI agents rather create new jobs, new professions and occupations performed by people?
Perhaps reading the following article will help in taking a position on this issue. I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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This is the papers of the Hafele-keating experiment
1. Around the World Clocks: Predicted Relativistic Time Gains – Hafele J. C., Keating R .E. – Science Vol. 177 (1972)
2. Around the World Clocks: Observed Relativistic Time Gains – Hafele J. C., Keating RE. – Science Vol. 177 (1972)
First, there was the certain and clear evidence showing that the result in the two papers published in the Science is faked.
Dr. Kelly sentenced:[1]
The original 1971 test report, prepared by Hafele, has been obtained by this author(Dr. Kelly) direct from the United States Naval Observatory (USNO), [14].
The original test results were not published by Hafele & Keating, in their famous 1972 paper; they published figures that were radically different from the actual test results which are here published for the first time. An analysis of the real data shows that no credence can be given to the conclusions of Hafele & Keating.
Second, I think, I had clear evidence showing that, the theory for the Hafele-keating experiment is wrong.[2] According to Einstein's theory of relativity, the gravitational time effect of the Sun on the satellite of the GPS is much larger than that of the Earth. But, the effect of the Sun has not been considered in the Hafele-keating experiment.
Reference
[1] Kelly A. G., Hafele and Keating Tests: Did They Prove Anything? Physics Essays, 13, 616 (2000)
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The basis of Special and General Relativity is (according to Einstein) the "Relativity of Simultaneity".
This is explained via the AE train-embankment experiment.
Two bolts of lightning arrive simultaneously at two ends of a breadth. This breadth at inception of the bolts, is both the "stationary" platform, and the "moving" carriage.
The reasoning is : since the platform is "stationary" the rays arrive to the middle of the platform simultaneously. And : since the carriage is moving, the rays arrive to the middle of the carriage one after the other, after taking into account this movement.
The problem with the above it that it ignores the postulate of Relativity : that there are "no preferred frames". It also ignores the concept of Relative Motion.
We can say : we are stationary on the "moving" carriage-- actually it is the platform that is "doing the moving". And so the light rays must arrive simultaneously to the middle of the carriage.
What is also ignored in Einstein's (and others) treatment is that due to the very logic of Relative Motion, there is only one breadth--- the "moving carriage" and the "stationary" platform are but one breadth : this breadth is viewed from different perspectives.
Then it becomes obvious why these rays have to arrive simultaneously to the middle of both the carriage and the platform : there are one set of rays, and one breadth.
So the "Relativity of Simultaneity"-- the rays arriving to different points along this one breadth at different times, is a logical impossibility.
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please contact me on my email
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For next papers be free to contact me if it's about the reproduction in domestic animals.
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What needs to change for hydrogen energy to become widespread and become the basis of modern, zero-carbon energy? What system and technological changes are necessary in this regard?
According to the results of research conducted on this issue, it appears that the spread of hydrogen power as the basis of modern, emission-free energy requires both profound technological and systemic changes. One key aspect is the development of hydrogen production technology, particularly the green version of hydrogen, which is based on the use of renewable energy sources, such as solar or wind power, for the electrolysis of water. Currently, most of the world's hydrogen production comes from processes that emit significant amounts of carbon dioxide, such as steam reforming of natural gas. In order for hydrogen to be considered a truly carbon-free fuel, it is necessary to increase the efficiency and reduce the cost of electrolysis technology, as well as significantly increase the share of renewable energy in the energy mix.
I have described the key issues concerning the problems of the ongoing process of global warming, the negative effects of this process and, therefore, the need to scale up and accelerate the implementation of the green transformation of the economy in the following article:
IMPLEMENTATION OF THE PRINCIPLES OF SUSTAINABLE ECONOMY DEVELOPMENT AS A KEY ELEMENT OF THE PRO-ECOLOGICAL TRANSFORMATION OF THE ECONOMY TOWARDS GREEN ECONOMY AND CIRCULAR ECONOMY
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,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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For hydrogen energy to become widespread and form the basis of a modern, zero-carbon energy system, several technological, infrastructural, and regulatory changes must occur. Hydrogen has the potential to be a key element in decarbonizing sectors that are difficult to electrify, such as heavy industry, long-haul transport, and certain areas of heating. However, to achieve this potential, a combination of advancements and systemic changes is needed across multiple fronts.
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I am working on a book about the role of artificial intelligence in geographical sciences. Who can help me with sources or theoretical and practical insights on this topic?
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Artificial intelligence enhances geographical sciences by improving data analysis and modeling in areas such as urban planning, disaster management, and remote sensing. Key applications include spatiotemporal prediction and intelligent sensing, with a focus on integrating multi-source data for better environmental monitoring and decision-making.
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How important is it for a scientific article to have a high or low number of citations?
Does a high number of citations indicate the quality of the study?
Does a researcher's reputation increase if she/he is cited a lot?
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For me, it is the most fundamental indicator of the significance of your contributions to science. For instance, the paper titled "A Closed-Form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils" by Martinus Th. van Genuchten has been cited 34,951 times. This indicates that 34,951 studies have relied on his work as a reference, underscoring how citation count reflects the impact and significance of one’s contributions to science.
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The University of Malakand is thrilled to host the Mega Kick-Off Event for the International Year of Quantum Science and Technology 2025 (IYQST 2025). This event is organized in collaboration with the Pakistan Institute of Physics, Pakistan Chemical Society, and Quantum Initiatives Pakistan.
Event Highlights:
  • Date: December 1, 2025
  • Location: University of Malakand
Key Activities:
  1. Cake Cutting Ceremony: Marking the beginning of this transformative year.
  2. Quantum Walk for Science and Technology: Join us for an engaging and symbolic walk that highlights the importance of quantum science.
  3. Distinguished Lecture: "Quantum Technology: A Roadmap for Promoting and Establishing in Pakistan" by Prof. Dr. Fida Younas Khattak.
Throughout 2025, the University of Malakand, in partnership with these prestigious organizations, will offer a series of events, workshops, and seminars aimed at fostering innovation, collaboration, and the dissemination of knowledge in the field of quantum science and technology.
This mega event is spearheaded by Prof. Dr. Iftikhar Ahmad, a prominent figure in popularizing quantum science in Pakistan. His leadership and vision are pivotal in bringing this celebration to life.
Join us in celebrating the launch of IYQST 2025 and be part of a global movement toward a sustainable, technologically advanced future. Welcome to the International Year of Quantum Science and Technology 2025! 🎉🌟
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Congs👏👏 A bright idea again from Iftikhar
Shining star ⭐
Of PAKISTAN
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What are the characteristics of the agentic artificial intelligence that is currently being rapidly developed and implemented into Internet applications?
What are the characteristics of agent-based artificial intelligence involving the rapid development of many different types of IT applications available on the Internet that function as AI agents?
Agent artificial intelligence (AI) is a technology that is characterized by its ability to autonomously make decisions and act in a specific environment, usually in a way that adapts to changing conditions. It is a system that not only performs tasks within pre-programmed rules, but is also able to respond to external stimuli, make decisions based on collected information, and learn and adapt to new challenges. Of particular importance in the context of agent-based artificial intelligence is the ability to interact with the environment, process data independently and take actions to achieve specific goals or tasks, often without the need for direct human supervision.
I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Please write what you think in this issue? Do you see rather threats or opportunities for labor markets related to the development of artificial intelligence technologies?
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,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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Impressive. How does it (Agent based AI) differs from Intelligent system?
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Hello dear researchers. please guide me in find journal Q1 base science free for publish paper review. Thanks
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Thank you dear. you very help to me.
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What are the key sources of price increases for butter, cocoa, orange juice and other agricultural crops and food products in 2024 in many countries and globally?
Do the key sources of the aforementioned increase in the price of agricultural crops and food products in 2024 include the developing diseases attacking crops and farmed livestock, or are they the climate disasters, weather anomalies, environmental degradation resulting from an unsustainable, over-consuming economy and the accelerating process of global warming in many parts of the world?
In my view, the rise in crop and food prices in 2024 is the result of a complex combination of factors, including intensifying climate change, problems with plant and animal diseases, disruptions in global supply chains and rising demand. Addressing this problem requires sustainable actions, such as investment in climate-resilient agricultural technologies, improved international environmental cooperation, and long-term reforms in food security and stability of commodity markets.
I have described the key issues concerning the problems of the ongoing process of global warming, the negative effects of this process and, therefore, the need to scale up and accelerate the implementation of the green transformation of the economy in the following article:
IMPLEMENTATION OF THE PRINCIPLES OF SUSTAINABLE ECONOMY DEVELOPMENT AS A KEY ELEMENT OF THE PRO-ECOLOGICAL TRANSFORMATION OF THE ECONOMY TOWARDS GREEN ECONOMY AND CIRCULAR ECONOMY
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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In 2024, food price increases are driven by climate change disrupting crop yields, geopolitical conflicts affecting supply chains, rising input costs for fertilizers and fuel, inflation, supply chain disruptions, and growing global demand for food. These factors combined have created significant challenges for food affordability worldwide.
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Are you interested in scientific cooperation conducted within the framework of team-based implementation of research projects and writing scientific papers that include the results of team-based scientific research?
Dear researchers, scientists, friends of this Research Gate portal,
I believe that the development of good scientific cooperation is an important factor in the effective development of science and the solution of various problems, including the generation through new scientific discoveries of solutions to the key problems of the development of civilization. This Research Gate web portal equipped with the functions of a database of scientific texts, an indexing database of scientific journals and institutions, researchers and scientists, and also acting as an online social network greatly facilitates the establishment of contact between researchers and scientists operating in different scientific communities, different institutions, countries, continents. Thanks to this, there is an opportunity to remotely establish cooperation, build a working team, carry out team-conducted research work, team-publish the results of conducted scientific research, etc. Team-based research projects that are carried out by researchers and scientists representing different scientific institutions can also be interdisciplinary in nature, if the members of the research team represent different scientific disciplines. I am particularly interested in the problems of applications of new ICT information technologies and Industry 4.0/5.0, including Big Data Analytics and generative artificial intelligence in economics and management, including applications in sustainable economy, realization of green economy transformation, sustainable economic development, development of renewable and zero-carbon energy sources, protection of biodiversity and climate, construction of sustainable, green, zero-carbon circular economy. In addition to this, I have also conducted research and published academic papers on the issues of credit risk management, Internet banking, cyber-security, economic globalization, economic and financial crises, including the 2008 global financial crisis, the 2020 pandemic economic crisis, the 2022 energy crisis, anti-crisis economic policies, central banks' monetary policies conducted during economic and/or financial crises, etc. In addition, I am particularly interested in issues relating to the key problems of the development of civilization, developing formulas for solving them, analyzing the possibility of counteracting the development of various types of crises related to the development of civilization, including the developing climate crisis, environmental crisis, loss of biodiversity, and the impact of these processes on the economy and on the ability of future generations of people to exist on the planet in the future. Dear researchers and scientists, colleagues on this Research Gate portal, if you are conducting research in some aspect of the above-mentioned issues, on any topic related to any of the above-mentioned issues then I invite you to join me in scientific collaboration.
As inspiration for establishing potential scientific collaborations, including interdisciplinary research, I present below a selection of my scientific articles representing various issues in economics, management and other aspects of the social sciences:
Key aspects of the circular economy, including the green, sustainable economy are described in my article:
IMPLEMENTATION OF THE PRINCIPLES OF SUSTAINABLE ECONOMY DEVELOPMENT AS A KEY ELEMENT OF THE PRO-ECOLOGICAL TRANSFORMATION OF THE ECONOMY TOWARDS GREEN ECONOMY AND CIRCULAR ECONOMY
In the following article, I included the results of the research I conducted on the connection of the issue of sustainable development, the genesis and meaning of the Sustainable Development Goals, the essence of sustainable development in the context of social, normative, economic, environmental, climate, as well as human rights aspects, etc. The research also addressed the issue of key determinants of human existential security as an element of the concept of sustainable development.
HUMAN SECURITY AS AN ELEMENT OF THE CONCEPT OF SUSTAINABLE DEVELOPMENT IN INTERNATIONAL LAW
I have described the key issues of the problematic sources of Poland's exceptionally deep energy cross in 2022 in my co-authored article below:
POLAND'S 2022 ENERGY CRISIS AS A RESULT OF THE WAR IN UKRAINE AND YEARS OF NEGLECT TO CARRY OUT A GREEN TRANSFORMATION OF THE ENERGY SECTOR
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
And the applications of Big Data technologies in sentiment analysis, business analytics and risk management were described in my co-authored article:
APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION
The key issues of the impact of the Covid-19 pandemic on the economy and financial markets are described in my article below:
IMPACT OF THE CORONAVIRUS PANDEMIC (COVID-19) ON FINANCIAL MARKETS AND THE ECONOMY
Analysis of the effects of post-2008 anti-crisis mild monetary policy of the Federal Reserve Bank and the European Central Bank
ACTIVATING INTERVENTIONIST MONETARY POLICY OF THE EUROPEAN CENTRAL BANK IN THE CONTEXT OF THE SECURITY OF THE EUROPEAN FINANCIAL SYSTEM
IMPROVING MANAGING THE CREDIT RISK IN CONDITIONS SLOWING ECONOMIC GROWTH
I invite you to get acquainted with the issues described in the publications listed above and to cooperate with me in scientific research on these issues.
I also invite you to familiarize yourself with my other scientific publications, which are available on my profile of this Research Gate portal.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Are you interested in scientific cooperation conducted in the framework of team research projects and writing scientific papers that include the results of team research?
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
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Dear Researchers, Scientists, Friends,
I hope that in the New Year 2025 all problems will be positively solved and scientific cooperation will be even better than in previous years,
I hope that in the New Year 2025 the processes of green transformation of the economy will significantly accelerate so as to increase the scale of saving the climate, biosphere and biodiversity of the planet's natural ecosystems from destruction, to preserve the planet's climate and biosphere for future generations of people, to slow down the progressive process of global warming, and to make the global climate catastrophe occur on the smallest possible scale and as late as possible.
wishes
Dariusz Prokopowicz
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Is generative artificial intelligence creative or is it rather reproductive, i.e., it only processes certain complex processes on large data sets according to human-designed algorithms?
Generative artificial intelligence (AI) is a technology that has recently generated much controversy over whether it can be considered creative or rather merely reproductive. On the one hand, generative AI, such as language models or image-generating systems, can produce unique, seemingly original content that at first glance appears to be the result of a creative process. Examples include generating poetry, music, images or even inventing solutions to complex scientific problems. On the other hand, however, it should be remembered that all these activities are strictly dependent on human-designed algorithms and the data on which these systems were trained.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Please write what you think in this issue? Do you see rather threats or opportunities associated with the development of artificial intelligence technology?
What is your opinion on this issue?
And what is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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we can not know about the "dataset" of human beings' brain, so I think AI is different from the human brain, so it should be reproductive only.
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Dear Researchers,
As part of my PhD research at Université Cadi Ayyad, I am conducting a study on knowledge transfer among Moroccan researchers in the field of science and technology. The goal of this research is to better understand the dynamics of knowledge transfer and its impact on innovation in Morocco.
I would greatly appreciate your participation in this anonymous questionnaire, which will take only a few minutes of your time. Your insights will be invaluable in contributing to a deeper understanding of the role of knowledge transfer in fostering scientific and technological progress in Morocco.
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That fine. Its good to generalise your findings. Surely, I will try to respond by filling in your questionnaire.
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How can advances in memory science reshapeassessments in medical curricula?
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Chères/Chers chercheurs
Dans le cadre d'une thèse à l’Université Cadi Ayyad, on mène une enquête sur le transfert de connaissances chez les chercheurs marocains en sciences et technologies. Votre participation à ce questionnaire anonyme (quelques minutes seulement) serait précieuse. Merci pour votre précieux temps et votre collaboration.
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Bonjour,
Je ne suis malheureusement pas marocaine mais je vais diffuser dans mon réseau!
Bonne journée
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In what applications are AI and Big Data technologies, including Big Data Analytics and/or Data Science, combined?
In my opinion, AI and Big Data technologies are being combined in a number of areas where analysis of large data sets combined with intelligent algorithms allows for better results and automation of processes. One of the key applications is personalization of services and products, especially in the e-commerce and marketing sectors. By analyzing behavioral data and consumer preferences, AI systems can create personalized product recommendations, dynamic advertisements or tailored pricing strategies. The process is based on the analysis of huge datasets, which allow precise prediction of consumer behavior.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
I described the applications of Big Data technologies in sentiment analysis, business analytics and risk management in my co-authored article:
APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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My Opinion on AI + Big Data:
Totally agree with you, Dariusz! It's all about using HUGE amounts of data with smart AI to make things better and more automated. Personalization is a HUGE win – like, finally, ads that actually show me stuff I'm interested in!
Adding to Your Points:
You nailed it with e-commerce, but think about:
  • Doctors: AI looking at tons of medical info to give us better, faster diagnoses.
  • Finance: Catching fraudsters and giving better investment advice.
  • Self-Driving Cars: How cool is that? (also a little scary).
  • Factories: AI making sure everything runs smoothly and finds the odd wonky widget.
  • Cities: Using all that data to make traffic flow better, like magic!
Why it Works:
  • More data = smarter AI: Like giving a kid a HUGE book instead of a pamphlet.
  • AI does the boring stuff: So humans can focus on cool stuff.
  • Prediction Power!: AI can figure out what's gonna happen, which is amazing.
  • Personalization Explosion: Things get made JUST for you, and that's kinda awesome.
Your Articles:
I'm super interested to read what you wrote! AI and data are changing the world, and it's good to talk about the good and the not-so-good parts of it.
In a nutshell: I think AI and Big Data are like peanut butter and jelly – they're just better together! It's exciting (and maybe a little bit worrying) to see how it's all playing out.
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Can the responses of intelligent chatbots available on the Internet be “arbitrarily programmed in algorithms,” biased and predetermined by their creators, or are they rather a statistical resultant of the data on which they were trained?
The prevailing opinion on the subject is that the advanced language models currently under development, such as ChatGPT, Copilot and other intelligent chatbots, are based on artificial intelligence algorithms that learn by analyzing vast amounts of text and data. These algorithms are not “preloaded” with specific views or worldviews of their creators, but rather are trained on data that reflects the diversity of thoughts, ideas and perspectives present in society. In practice, this means that the views and values expressed by such models are the resultant of the data on which they were trained, rather than being directly derived from assumptions imposed by their creators. Thus, language models do not have a built-in “worldview,” but may reflect or reproduce dominant narratives, biases and patterns that are present in the datasets on which they were trained. But what is your opinion on this topic?
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Please write what you think in this issue? Do you see rather threats or opportunities associated with the development of artificial intelligence technology?
What is your opinion on this issue?
And 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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>"These algorithms are not “preloaded” with specific views or worldviews of their creators, but rather are trained on data that reflects the diversity of thoughts, ideas and perspectives present in society."
That's not exactly correct. After initial training the models are being further tuned to be so called "safe". Part of that being "safe" involves training the models into avoiding expressing views that are being at that moment considered unfashionable among US coastal elites and squash any undesired diversity of thought that may dare to doubt their wisdom. Interestingly, at least initially there had been claims of jailbreaking those models to express position that were logically consistent but going against fashionable political opinions, suggesting that this preloading has been so far superficial.
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"Faith in science" is a concept proposed by Durkheim, and followed by many others, including Merton. How does this kind of "faith" affect our lives?
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So, you think that faith in science is necessary for "societal advancement" and "personal well-being"?
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𝐑𝐞𝐦𝐞𝐦𝐛𝐞𝐫𝐢𝐧𝐠 𝐆𝐢𝐚𝐧𝐭𝐬 𝐢𝐧 𝐒𝐮𝐫𝐠𝐞𝐫𝐲 & 𝐒𝐜𝐢𝐞𝐧𝐜𝐞𝐬
Jörg Rüdiger Siewert
* 𝟎𝟖.𝟎𝟐.𝟏𝟗𝟒𝟎 - † 𝟎𝟗.𝟎𝟏.𝟐𝟎𝟐𝟒
𝐑. 𝐈. 𝐏. to my former Teacher and Chairman #Siewert
#surgery #chirurgie #science #wissenschaft
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There are various journals available. Some agencies need Scopus, some need Web of Science and others. Which are more meaningful ? There is some confusion about 100s of agencies creating index. Please elaborate it.
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Web of Science is generally more respected.
This website https://guides.libraries.psu.edu/bibliometrics/journalmeasures describes journal metrics and while there are problems with many of the indices, these artificial/arbitrary numbers are still the most widely accepted.
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Which online applications equipped with artificial intelligence technology do you think can be useful for researchers and scientists? Which applications utilizing generative AI technology can assist in conducting scientific research and/or analyzing and presenting the results obtained from such research?
Artificial intelligence technology has significantly enriched the range of tools available to researchers and scientists, supporting them in data analysis, writing publications, organizing work, and automating repetitive tasks. In the field of managing scientific literature, applications like Mendeley and Zotero enable document organization, automatic citation formatting, and recommendations for new publications. For data analysis and statistics, tools such as IBM SPSS Modeler and RapidMiner are particularly useful, as they employ machine learning algorithms to analyze large datasets, while Google Colab offers access to AI libraries and a Python environment for advanced data processing. In writing and editing scientific texts, applications like Grammarly and Writefull enhance linguistic quality and clarity, while ChatGPT supports the generation of summaries and research ideas. For data visualization, Tableau and Power BI are indispensable, as they integrate AI to automate trend analysis and suggest visualization formats, with BioRender aiding in the creation of aesthetically pleasing scientific diagrams. In natural language analysis, Leximancer and NVivo facilitate qualitative research by automatically identifying key themes and patterns in textual data. Teamwork organization is made easier with tools like Notion and Slack, which leverage AI features to manage projects and improve communication. For exploring scientific literature, applications such as Semantic Scholar and Connected Papers allow users to uncover relationships between articles and recommend key publications. These tools significantly streamline research processes, save time, and open new opportunities in science, adapting to the specific nature of the research being conducted and the needs of research teams.
In view of the above, I address the following question to you:
Which online applications equipped with artificial intelligence technology do you think can be useful for researchers and scientists? Which applications utilizing generative AI technology can assist in conducting scientific research and/or analyzing and presenting the results obtained from such research?
Please feel free to respond.
I invite you to join the discussion and scientific cooperation.
Thank you very much.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
I invite you to familiarize yourself with the issues described in the article given above and to cooperate scientifically on these issues.
Kind regards,
Dariusz Prokopowicz
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ChatGPT turns two: how the AI chatbot has changed scientists’ lives
"Happy birthday, ChatGPT! It’s been two years since OpenAI debuted the tool to the public, which about four-fifths of 1,000 researchers who responded to a survey said they used in some capacity. Some think it has the potential to transform science and labwork. Others fear it facilitates plagiarism and gobbles up gargantuan amounts of energy. The debate in the scientific community rages on — we’ll check back in on birthday number three..."
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Interdisciplinarity is highly valued in contemporary science. It encompasses the principles of academic diversity, ideological versatility, and collaborative efforts, turning individual findings into collective output. I would like to discuss: What are the characteristics of interdisciplinary research?
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Thank you for your response. Interdisciplinary research is both scientific and creative approach to challenging problems, merging cross-disciplinary perspectives into knowledge sharing. It demonstrates the collective strengths of various fields, providing diverse solutions, and greater opportunities to change the world for the better.
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In the last two days, headlines have been buzzing about Google's unveiling of a "mind-boggling" quantum computing chip—a supposed leap into the future of technology. 🌌 But here's the hard truth: this entire field might be built on a fundamentally flawed foundation. 🔍 My research (DOI: 10.9790/4861-1505012633) reveals that the Schrödinger Equation, the cornerstone of quantum mechanics, is inherently unfit to describe the correct motion and state of quantum particles in their entirety. While it may work under controlled or specific conditions, it cannot define quantum particle mechanics universally. If the very basis of quantum mechanics is incorrect, how can quantum computing—which relies on these principles—ever succeed? 💡 Quantum computing is, by design, attempting to solve problems using flawed science. Billions of dollars, decades of research, and the world’s brightest minds are pouring resources into something that is fundamentally broken. This is science’s biggest illusion—a dream sold as progress but rooted in a misunderstanding of quantum mechanics' true limitations. 🌟 Instead of chasing illusions, it’s time to redirect our efforts and resources toward areas grounded in reality, such as improving classical computing or exploring new scientific paradigms that align with solid fundamentals. Let’s not let this “quantum rush” distract us from what truly matters. 🤔 This is the right time to pause, reflect, and choose a better path—one that doesn’t invest in an area that is doomed at its core but instead prioritizes technologies with true potential. Let’s spark the debate: Is quantum computing science's biggest scam? Share your thoughts below! 👇 #QuantumComputing #QuantumMechanics #SchrödingerEquation #ScienceDebate #Innovation #FutureTech
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Yes, it is difficult to argue with this, since quantum mechanics is still far from perfect. The Schrodinger equation, of course, cannot describe all possible events: it only speaks of the probability of a possible quantum state and is not designed to carry out direct calculations, but serves only to estimate the probability. But the fact that quantum mechanics as a science has allowed us to advance in the theoretical understanding of many processes, as well as the creation of new technologies is indisputable. Thank you for your questions. With great respect for your approach to discussing this scientific problem. With best wishes, Rustam Rakhimov
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Background Summary:
The relationship between science and spirituality has long been a subject of debate, often framed as a dichotomy—science grounded in empirical evidence and logical reasoning, and spirituality rooted in faith, intuition, and transcendence. Historically, the two have been seen as separate, with science focusing on the material world and spirituality addressing the metaphysical. However, recent advancements in various fields of science, particularly quantum physics, neuroscience, and cosmology, have begun to blur the lines between these traditionally distinct realms.
As science continues to uncover the mysteries of consciousness, the nature of reality, and the origins of the universe, new questions arise: Can spirituality, which encompasses the search for meaning and the experience of the divine, be reconciled with scientific inquiry? Can modern science, in its pursuit of understanding the fundamental laws of nature, leave room for concepts such as God, purpose, and interconnectedness?
Furthermore, many contemporary thinkers and scientists argue that spirituality could be incorporated into modern scientific frameworks. Practices like meditation, mindfulness, and consciousness studies have already demonstrated measurable impacts on human health and cognition. The exploration of how spiritual experiences can be understood and validated within scientific paradigms opens exciting opportunities for interdisciplinary research.
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The coexistence of God and science is not only plausible but essential for humanity's quest for ultimate truth. Science answers the "how" of the universe's workings, while God and spirituality address the profound "why." Modern intersections, such as the observer effect in quantum mechanics or the measurable impacts of mindfulness and prayer on the human brain, illustrate how the boundaries between the material and the metaphysical blur as we explore deeper truths.
True understanding, however, lies beyond these dualities. The ultimate science is the science of self—the profound realization that the knowledge of the universe outside us mirrors the universe within. By turning inward and exploring the depths of our consciousness, we can attain the most profound truth: the realization of God within us. This is the ultimate truth, the most secret of secrets, the culmination of all knowledge we know and do not yet know. Through self-realization, we perceive not only the divine but also the interconnectedness of all existence.
Einstein's insight, “Science without religion is lame, religion without science is blind,” perfectly captures this synthesis. Traditional science might serve as the path to understanding the universe's mechanics, but the science of self leads to the ultimate realization—God, divinity, and boundless wisdom. Once we achieve this awareness, there is nothing else to learn because all paths converge into this singular, transformative truth. In this, science as we know it becomes the stepping stone to the science beyond science—the eternal pursuit of divine enlightenment.
Cheers,
Sandeep
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Science teachers often have lacunae in their knowledge base, as their only qualification is their degree, and parts of the high school curriculum may not have been covered sufficiently. When they, in turn, go to teach high school science, they may find themselves in the middle of the lesson and have just uttered the concept and realized they have made a mistake but continue regardless. I use the term 'fraudulent paradigm' to describe this scenario, but is there a better one (apart from just being negative about the teacher!)?
In this case, I mean it to refer to someone who has a tenet of their practice to not correct their own mistakes in science teaching.
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Thomas McCloughlin To avoid this mistakes, I suggest to not teach something your are not familiar with; make sure you have both formal and practical knowledge on the concepts before incorporating them in your curriculum design. Hope this makes sense to you.
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By recognizing and valuing indigenous knowledge, modern science and knowledge systems can benefit from the diverse perspectives, innovative practices, and holistic approaches that indigenous communities offer. Collaboration and respectful engagement between indigenous knowledge holders and scientific communities can lead to more comprehensive and sustainable solutions for pressing global challenges. Hence, what is the contribution of indigenous knowledge top modern science or knowledge?
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Unlearning higher education and embracing Indigenous reciprocity
Nobel Peace prize winner and human rights activist, Dr Rigoberta Menchú Tum, champions indigenous values as a guiding principle for the future of higher education...
"“Education itself is the most extraordinary tool that will remain powerful from generation to generation.” Dr Rigoberta Menchú Tum.
Speaking at the QS Higher Education Summit: Americas 2024 in Mexico City, human rights activist and Nobel Peace prize winner, Dr Menchú Tum, shared her wisdom and experiences as an indigenous person, activist and educator to guide the global higher education sector towards a future of reciprocity, trust and togetherness.
Rooted in Indigenous perspectives is the idea that the world we know has been born out of conflict; from violations of human rights and abuse of power that have led to numerous inequalities. “What is happening on our planet is that we are out of harmony,” says Dr Menchú Tum. “We are so used to solving problems instead of building harmony through consensus.
“I believe that higher education has an important role to play in creating a more harmonious world, but the top-down hierarchical model of education has not worked, and I don’t believe it has the magic to work in the coming years.”
While Indigenous communities typically lack monetary wealth due to colonisation, systemic discrimination, land dispossession and economic exclusion, they harness extraordinary knowledge and wisdom. This is especially evident in their connection, care and reciprocity, says Dr. Menchú Tum, who is a member of the Mayan people of Guatemala.
“I am part of the majority of people who did not study in higher education. I feel privileged to be sitting down discussing these issues, because indigenous people are not represented, but human knowledge is universal,” said Dr Menchú Tum, championing the invaluable lessons marginalised communities offer to the world...
Higher education is pivotal in producing solutions to the world’s biggest problems, due to its unique position in integrating diverse fields of knowledge to foster critical thinking, advancing research and developing skilled graduates equipped to address global challenges like climate change, inequality and public health.
“Higher education is primed to create space for multilateralism, where institutions have the opportunity to take the learnings from many different fields to find solutions together,” says Dr Menchú Tum. "We must adopt a new approach that bridges the gap between our collective knowledge: connecting Indigenous wisdom with the broader society, uplifting the perspectives of women in decision-making spaces, and integrating the voices of young people into the frameworks that shape our future.”
Ultimately, she adds: “humanity must be central to all institutions.”..."
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Background Summary:
In the pursuit of human progress, science has undeniably transformed the material aspects of life—advancing our health, wealth, and technology. Yet, there remains an uncharted territory: how can science be leveraged not just for physical abundance but to elevate the very essence of human existence, fostering prosperity, happiness, health, and even spiritual fulfillment? Can we scientifically engineer a model of living where every individual experiences bliss, vitality, and peace, while also nurturing the collective well-being of society?
The concept of "blissful living" is deeply rooted in ancient wisdom, yet modern scientific advancements in neuroscience, quantum physics, psychology, and social behavior offer unprecedented opportunities to explore this ideal. How do the principles of neuroscience—shaping our understanding of the brain and emotions—align with quantum physics' potential to transcend the limitations of material reality? How can social sciences bridge the gap between individual flourishing and collective harmony?
This vision calls for an integrative approach that combines the best of both the material and spiritual dimensions, enabling us to understand and cultivate abundance, health, wealth, and happiness not as separate pursuits, but as interconnected aspects of a higher state of existence. A holistic, scientifically grounded pathway to blissful living could revolutionise how we approach human well-being on a global scale, offering a framework for not just surviving, but thriving in a way that fosters a deeper connection to self, others, and the divine.
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Sandeep,
Today I noticed that there is a typo in my last email to you, mistaking the exclamation point sign for the number '1' -- sorry. The intention was to refer to the holistic 'Vedic 3-in-1 account of nature'. I'm looking forward to any specific feedback/questions from you about the papers/books.
Best wishes,
RW Boyer (Bob)
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Some women tell me that men are attracted to a woman who can cook. Others tell me that if science allowed men to have babies, they would want to have them as much as women do. Some women think men suffer post-natal depression when they don’t bond with the baby. They don’t realise how worried men can be about the threat to their sex life. Many women don’t understand that men are often looking for sex rather than a relationship. In fact, they don’t seem to appreciate that men want sex at all!
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Thanks Cristopher for commenting! There is a lot of silence on the topic of sexuality, even from men. I am also a fan of John Gray. I think modern feminist political ideals prevent us from being able to comment on the differences between the sexes. Feminists seem to believe that for women to be equal with men, they must emulate men. We see more and more movies where women carry guns, behave aggressively and kill people easily. This must be very confusing for the younger generations. We rarely see men being presented with feminine qualities. The only one I can think of is those movies that show men being capable of caring for children. I have concluded that only a minority of men would be interested in focusing their lives on their children. But certainly each sex should be allowed to adopt the behaviours of the opposite sex if they want. All of my life, I have found myself to be in a minority of women when competing in a man's world.
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We tried to combine Scopus data (BibTeX) and Web of Science data (plain text) in R Studio to run bibliometric analysis and visualize the results in VOSviewer, but we didn't achieve 100% accuracy, particularly in co-citation and coupling. Please suggest an alternative approach.
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1. Use a Unified Data Format
Convert Data Formats: Before analysis, convert both Scopus and Web of Science data into a common format. This can help reduce discrepancies in how citations are recorded. For example, you can export both datasets into a CSV format that includes standardized fields for authors, titles, and citations.
2. Employ Advanced Bibliometric Techniques
Hybrid Approaches: Consider using hybrid methods that combine bibliographic coupling and co-citation analysis. As indicated in the results from the studies, bibliographic coupling often outperforms co-citation analysis. Implementing a method that leverages both could enhance the robustness of your findings.
Category-Based Coupling: Explore techniques like Bibliographic Coupling with Category-based Co-citation (BCCCC), which improves bibliographic coupling by considering the categories of cited references. This method can enhance the precision of your analysis by linking articles more effectively based on their shared citations within specific research topics.
3. Utilize Additional Citation Databases
Integrate Multiple Databases: To enhance the reliability of your analysis, consider integrating additional citation databases. Combining data from multiple sources can provide a more comprehensive view of citation patterns and improve the accuracy of co-citation metrics.
4. Implement Robust Data Cleaning Procedures
Standardize Author Names and Titles: Ensure that author names and article titles are standardized across datasets to avoid duplicates or mismatches. This may involve using algorithms to match similar names or titles that may have slight variations.
Remove Duplicates: Before conducting analyses, remove duplicate entries in your combined dataset to ensure that each article is only counted once in co-citation or coupling calculations.
5. Visualization Tools
Use VOSviewer Efficiently: When visualizing results in VOSviewer, ensure that you import data correctly by following its guidelines for formatting and structure. This will help maintain accuracy in visual representations of co-citation networks.
Explore Alternative Visualization Software: If VOSviewer does not meet your needs, consider other visualization tools like Gephi or CiteSpace that may offer different functionalities for analyzing and visualizing citation networks.
6. Validate Findings with Sensitivity Analysis
Conduct Sensitivity Analysis: After running your bibliometric analyses, perform sensitivity analyses to understand how changes in data input affect your results. This can help identify any weaknesses in your methodology and improve overall robustness.
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Articles and journals on purpose of science education
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The purpose of science education is multifaceted and plays a crucial role in developing individuals who are informed, critical thinkers capable of engaging with the complexities of the modern world. The key purposes derived from the search results are:
1. Promoting Scientific Literacy
Science education aims to equip individuals with a foundational understanding of scientific concepts and principles. This literacy enables them to make informed decisions regarding scientific issues, such as climate change, health care, and technology, fostering engagement in public discourse.
2. Developing Critical Thinking and Problem-Solving Skills
A core objective of science education is to cultivate critical thinking abilities. Students learn to analyze evidence, evaluate information, and approach problems systematically using the scientific method. This skill set is essential not only in scientific fields but also in everyday decision-making.
3. Fostering Curiosity and Inquiry
Science education nurtures a sense of curiosity about the natural world. It encourages students to ask questions, conduct experiments, and explore concepts through inquiry-based learning. This exploration is vital for developing a deeper understanding of how scientific knowledge is constructed.
4. Preparing Future Scientists and Innovators
By providing a solid foundation in scientific principles, education prepares students for careers in science, technology, engineering, and mathematics (STEM). It equips them with the necessary skills to conduct research, analyze data, and contribute to advancements in various fields.
5. Encouraging Technological Innovation
Science education inspires students to develop innovative solutions to societal challenges. Understanding the relationship between science and technology fosters creativity and problem-solving skills that are crucial for addressing contemporary issues.
6. Promoting Informed Decision-Making
Through science education, individuals gain the tools to critically evaluate scientific information. This ability enables them to make informed choices regarding personal health, environmental issues, and public policies that rely on scientific evidence.
7. Enhancing Interdisciplinary Connections
Science education often intersects with other disciplines such as mathematics, technology, and social studies. This interdisciplinary approach helps students appreciate the interconnectedness of various fields and enhances their overall learning experience.
In summary, science education serves to develop informed citizens who can navigate an increasingly complex world. It promotes critical thinking, fosters curiosity, prepares individuals for careers in STEM fields, and encourages responsible decision-making based on scientific understanding. As society continues to evolve with technological advancements, the importance of comprehensive science education becomes even more pronounced.
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Is there a specific science called sports training among the sciences?
What are the scientific foundations, theories and rules?
Its origin, history and development?
What are the basic topics and divisions of sports training science?
Areas of sports training?
Any other information that proves the existence of sports training among the sciences?
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Yes, there is a science called training science, which is one of the sciences that specializes in sports training and the methods and approaches used in training for different sports, whether individual or team games.
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Background Summary:
Poverty, disease, and hunger remain among the most persistent and devastating challenges facing humanity. Despite significant advancements in science, technology, and medicine, these issues continue to affect billions worldwide, hindering progress and well-being for millions. What if science could be harnessed not just to mitigate these issues but to eradicate them entirely?
Recent breakthroughs in various fields—such as biotechnology, renewable energy, artificial intelligence, and social sciences—offer unprecedented opportunities to tackle the root causes of poverty, hunger, and disease in innovative ways. Can we leverage these advancements to design systems of resource distribution, healthcare, and education that are sustainable and equitable for all? Can biotechnology revolutionize food production and health solutions, while AI and data analytics create efficient, scalable models for poverty reduction?
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That is true. Science provides the foundation, but it is up to humanity to take the next step forward.
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How do you think artificial intelligence can affect medicine in real world. There are many science-fiction dreams in this regard!
but how about real-life in the next 2-3 decades!?
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AI could pose pandemic-scale biosecurity risks. Here’s how to make it safer
"Advances in artificial intelligence (AI) promise to transform biomedical research, but could pose significant biosafety and biosecurity risks, argue three public health researchers and two policy researchers. They urge governments and AI developers to work with safety and security experts to mitigate harms that could result in the greatest loss of life and disruption to society, such as outbreaks of transmissible pathogens. That means building a scientific consensus through processes that engage diverse, independent experts..."
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Balancing teaching, research and personal or family commitments can be a huge task. No surprise that many academics choose not to turn their research into a startup business, even though the economic and social benefits can be considerable. Science research, in particular, has never been so important for solving important global problems such as renewable energy, food and water sufficiency, waste reduction and emissions reduction.
How can we collaboratively launch more science based startup ventures?
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The ecosystem building piece is certainly important because there are so many aspects to building a new venture that will be new to most science researchers. But there is plenty of help available (including useful AI generated information such as that posted above). There are also online communities that have a lot to share. If you are a science researcher with an idea for a business, take a look at this group that we are building: https://discord.gg/dC3WBbgzJq
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I am a second year student of science of learning and assessment. My research interest lies in Learning Assessment and Education Technology. I am looking forward to get deeper knowlegde on of AI-Assisted tools in education can be assess to improve learning outcomes and student success.
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Use established frameworks such as the Digital Divide Index or UNESCO's AI in Education Policy Framework to measure equity in access, usage, and outcomes.
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How could physics be integrated in forestry science?
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Physics can be integrated into forestry science in a number of ways to improve understanding, management, and sustainability of forests. Here are some key areas where physics plays an important role in forestry science:
1. Tree Growth and Development
  • Biomechanics of Trees: Physics helps to understand how trees grow and respond to environmental factors like wind, gravity, and soil resistance. Studies of tree biomechanics, including how trees bend and sway, can inform forest management practices, especially in terms of selecting tree species that are more resistant to wind damage or other mechanical stresses.
  • Light and Photosynthesis: The physics of light, including its absorption, reflection, and transmission, helps in understanding how trees capture sunlight for photosynthesis. Understanding light penetration within a forest canopy is crucial for assessing forest health and productivity.
2. Forest Microclimates
  • Energy Balance: Physics is key in studying energy fluxes in forests, such as heat exchange, radiation absorption, and the role of trees in cooling the environment. This is important for climate modeling and understanding how forests interact with weather systems and climate change.
  • Water Movement: The physics of fluid dynamics helps in understanding how water moves through forest ecosystems, both in terms of soil water dynamics (e.g., infiltration, evaporation) and how trees regulate water flow through their vascular system. This includes the study of transpiration, the process by which trees release water vapor into the atmosphere.
3. Forest Hydrology and Soil Physics
  • Soil Moisture and Water Retention: The principles of soil physics are vital in forestry, particularly when studying how different soil types retain and transmit water. This knowledge is essential for forest health, particularly during drought conditions, and for managing water resources in forested landscapes.
  • Hydrological Modeling: Physics-based models are used to simulate water movement through the forest ecosystem, including rainfall interception by the canopy, infiltration, and runoff. These models are crucial for forest management, especially in preventing soil erosion or maintaining water quality in nearby streams.
4. Fire Behavior and Risk Assessment
  • Combustion and Heat Transfer: Physics is used to study the mechanics of wildfire, including how fires spread through different types of vegetation, the role of temperature, wind, and humidity in fire behavior, and how heat is transferred in a forest environment. Understanding these principles helps in fire prevention, control, and predicting the impact of wildfires on ecosystems.
  • Fire Modeling: Computational models based on physics are used to simulate the behavior of fires under various conditions, providing valuable insights for fire risk management and forest planning.
5. Forest Carbon Sequestration
  • Carbon Cycling and Energy Flow: Physics is crucial in studying how carbon is stored and transferred in forest ecosystems, from soil to trees to the atmosphere. Energy flow through a forest (i.e., the movement of solar energy into chemical energy) is modeled using principles of thermodynamics and fluid dynamics, which helps in assessing how forests act as carbon sinks and contribute to climate mitigation.
6. Forest Management and Harvesting
  • Mechanical Harvesting Technologies: Physics is used to design efficient machinery for logging and forest management, such as understanding the forces involved in cutting and moving trees. This can lead to innovations in harvesting techniques that minimize environmental damage and improve the economic efficiency of timber production.
  • Forest Canopy Structure: The use of light detection and ranging (LiDAR) technology, which is based on principles of physics, helps create detailed 3D maps of forest canopies. This allows foresters to assess forest structure, tree height, biomass, and canopy cover without disrupting the ecosystem.
7. Climate Change and Forest Ecosystem Modeling
  • Global Climate Models: Physics is foundational in understanding how forests interact with global climate systems. Models that simulate the effect of changing temperatures, precipitation patterns, and CO2 concentrations on forest ecosystems are based on physical principles of heat transfer, atmospheric dynamics, and fluid motion.
  • Forest-Atmosphere Exchange: Physics is used to study the exchange of gases (like CO2, water vapor, and methane) between forests and the atmosphere. This research is essential for predicting how forests will respond to climate change and for developing strategies to manage forests for carbon sequestration.
In conclusion, physics provides the tools and methodologies to understand the fundamental processes that govern forest ecosystems, from tree growth to forest-climate interactions. By applying physical principles, forestry science can develop more effective, sustainable, and efficient ways to manage and protect forests.
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Generative AI (GenAI) is a branch of artificial intelligence that uses models to create new data such as text, images, or videos based on patterns learned from training data. It generates outputs in response to prompts by understanding the underlying structures of the input data.
Let's discuss the potential applications and benefits of Generative AI in biotechnology and explore how it can address current challenges in the field.
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Generative AI offers transformative applications in biotechnology, addressing critical challenges while advancing the field. In drug discovery, AI accelerates de novo molecular design by leveraging algorithms to identify novel pharmacophores, predict ligand-receptor interactions, and optimize pharmacokinetic and pharmacodynamic properties, significantly reducing the timelines and costs associated with preclinical development. It facilitates precision medicine by generating therapies tailored to individual genomic and proteomic profiles while enabling in silico drug repurposing through high-throughput virtual screening. In protein engineering, generative models predict tertiary and quaternary protein structures and elucidate conformational dynamics, enabling the design of therapeutic biologics with enhanced binding affinities and reduced immunogenicity. In synthetic biology, AI-driven sequence optimization enhances CRISPR-Cas9 targeting specificity and metabolic pathway engineering for efficient biosynthesis of bioactive compounds, biopolymers, and therapeutic peptides. Clinical applications include generating synthetic datasets for training radiological and histopathological AI models, simulating patient phenotypes to optimize clinical trial stratification, and enhancing medical imaging modalities through resolution amplification and artifact reduction. These capabilities address pervasive challenges such as sparse datasets, complexity in biomolecular networks, and exorbitant R&D costs. Generative AI also enables multi-omics integration, synthesizing insights from genomics, transcriptomics, proteomics, and metabolomics, fostering a holistic systems biology approach.
For instance, optimization in drug design can be expressed as E = B.A (efficacy = binding affinity × bioavailability), where binding affinity (B) reflects the molecular interaction strength between a ligand and its target, and bioavailability (A) quantifies the proportion of the drug reaching systemic circulation. This succinctly captures how generative AI aids in balancing critical pharmacological parameters to design therapeutics with maximal clinical efficacy. By automating and streamlining these processes, generative AI mitigates the translational gap, promotes global health equity, and fosters interdisciplinary synergies across computational biology, cheminformatics, and biomedical sciences, establishing itself as a cornerstone for innovation in modern biotechnology.
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Hello, fellow researchers. Please help our scholar community by listing all the predatory journals and conferences you encountered. Identifying these predators