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Research - Science topic

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If a manuscript is rejected by a journal, the editor may occasionally offer the option to revise and resubmit.
Does revising the manuscript based on the reviewers' comments and resubmitting it to the same journal (including the original submission ID) increase the likelihood of acceptance or consideration?
Any experiences or advice would be appreciated.
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Thank you Prof. David L Morgan sir
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I have some old Chitosan sample that I was going to use for research but after FTIR of this sample and comparing it with the standard FTIR spectrum of Chitosan, some of the peaks are missing. Should I buy new sample?
LEFT Graph- my Chitosan sample FTIR spectrum
Right Graph- Standard Chitosan sample FTIR spectrum
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Insufficient injection concentration or sample degradation or deterioration may cause missing peaks. You can increase the injection concentration appropriately or purchase new samples for use.
You may make an inquiry and buy new samples at Alfa Chemistry, they offer you advices and kinds of good-quality chemicals.
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I am a fifth-year medical student preparing to begin my clerkship soon. I am reaching out to inquire about potential research collaboration opportunities in the fields of neurosurgery, neurology, and neuroscience.
I have gained valuable experience working on various research projects throughout my studies and I am eager to further develop my skills and contribute to meaningful research in these areas. While I have not yet had the opportunity to publish my work, I am committed to advancing my knowledge the expertise in the field.
If you are aware of any ongoing projects or opportunities for collaboration, I would greatly appreciate your guidance or any connections you could provide. I am enthusiastic about the possibility of contributing to impactful research and learning from experienced professionals in the field.
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I'm also interested to do some collaborated research with you, as I'm also belonging in the field of neuroscience.
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FSQCA: Fuzzy set qualitative comparative analysis
SEM: Structural Equation Modeling
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What kind of sample do you have? SEM generally requires fairly large sample (e.g., 10 observations per parameter in the model), while FSQCA typically works with a limited number of cases.
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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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How feasibly can I pay a senior academic to review my independent research, then award me a certificate for my independent research?
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I don't think it's advisable to pay for your research or review it. There are free scientific journals that can review your article and publish it without you having to pay any money. These journals work on a peer review system and, from my perspective, are more serious.
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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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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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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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Yes, Bitcoin and other cryptocurrencies have shown vulnerability to the influence of anecdotal social media information. The decentralized nature of cryptocurrencies means they lack centralized regulation, making them particularly susceptible to market sentiment, which can be shaped significantly by social media trends. Here are the key reasons why Bitcoin is affected:
1. Market Sentiment and Speculation
Volatility: Bitcoin’s price is highly volatile, often responding quickly to news, rumors, and speculation. Social media amplifies these factors, sometimes leading to sharp price swings.
Herd Behavior: Retail investors frequently follow influential figures or viral posts, creating a herd mentality that can inflate or deflate prices rapidly.
2. Influence of Key Figures
Influential personalities (e.g., Elon Musk) have significantly impacted Bitcoin's price through tweets or public statements.
For instance, Musk's tweets about Bitcoin and Dogecoin have caused dramatic price movements, even when the information shared is anecdotal or opinion-based.
3. Spread of Misinformation
Social media platforms are rife with misinformation or exaggerated claims about cryptocurrencies.
Promises of guaranteed returns, fear-inducing posts about regulatory actions, or hype about blockchain technology developments can all influence Bitcoin's perceived value.
4. Pump-and-Dump Schemes
Coordinated efforts by groups to artificially inflate (pump) and then sell off (dump) cryptocurrencies are often organized on social media platforms.
These schemes exploit the influence of anecdotal and unverified information to manipulate prices.
5. Role of News Amplification
News about adoption (e.g., a company accepting Bitcoin) or rejection (e.g., a ban on Bitcoin mining) spreads rapidly on social media.
Often, such news is anecdotal or taken out of context but can cause disproportionate market reactions.
6. Retail Investor Dominance
The cryptocurrency market is dominated by retail investors who are more likely to rely on social media for information compared to institutional investors.
Anecdotal information, memes, and viral posts heavily influence their decision-making.
7. Off the cuff and non serious remarks by politcians and withdrawing these often
Mitigating Social Media Influence
While Bitcoin’s vulnerability to anecdotal social media information is inherent to its decentralized nature, these steps can help reduce susceptibility:
Education: Improving investor understanding of cryptocurrency fundamentals and market dynamics.
Transparency: Encouraging platforms to flag misleading or promotional content.
Adoption of Analytical Tools: Using sentiment analysis and other tools to differentiate between noise and meaningful trends in social media.
Conclusion
Bitcoin’s reliance on decentralized trust and the absence of a central authority make it particularly susceptible to social media influences. While this democratization of information allows greater participation, it also exposes the cryptocurrency to volatility driven by anecdotal and often unverified information. Investors and stakeholders must exercise caution and verify information before making decisions.
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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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Maintaining the integrity of published research is paramount in the era of rapid scientific advancements. This discussion explores effective strategies and best practices for publishing scientific papers and handling retractions.
Join the conversation to discuss:
  • How can we improve the peer review process to minimize errors in published research?
  • What are the best practices for handling retractions to prevent the propagation of flawed data?
  • How can we encourage more active post-publication scrutiny and corrections?
Let's collaborate to enhance the quality and reliability of scientific research. Your thoughts and experiences are invaluable.
Also, check out this piece on Nature to learn more about the topic: https://www.nature.com/articles/d41586-024-02747-1
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Emerging Trends in Retractions and How Cabells Helps Safeguard Research Integrity
"The growing number of retracted articles in academic publishing has become a pressing concern. While retractions are essential for correcting the scholarly record, their increase reflects deeper challenges in maintaining research integrity, a core mission for Cabells. At the forefront of addressing these issues, Cabells empowers the scholarly community with tools and insights to combat misconduct and uphold publishing standards...
Cabells addresses the challenges of retractions head-on with our tools and guidance for safeguarding scholarly publishing. Here’s how:
  • Journalytics Academic / Journalytics Medicine
  • Predatory Reports
  • Education and Awareness
  • Metrics for Trustworthy Publishing..."
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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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Hello everyone,
I'm currently facing a decision between patenting 'xyz' invention and publishing my findings in a research paper. Both options have their apparent advantages and disadvantages, and making the right choice seems crucial for my career and the dissemination of my work.
I would greatly appreciate it if you could share your experiences:
  • What factors did you consider when making a similar decision between patenting and publishing?
  • Can you share any personal experience or lessons learned from either patenting your invention or opting to publish your research article?
  • How has your choice impacted your professional trajectory or the advancement of your research?
  • Are there specific considerations in certain fields or industries that one should be aware of when making this decision?
Your responses would be very helpful to me. Thank you in advance for your kind responses.
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It depends what you want to do with the invention.
Publishing before you have a patent can create prior art, that makes it challenging to secure a patent. Working with a Patent Agent can help you identify if your invention is novel, and non-obvious.
Publishing your work can help to ensure others do not patent something that might prevent you from using your work if a future patent is filed on the invention.
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Inquiry-based research emphasizes curiosity, critical thinking, and evidence-based exploration. it focuses on asking purposeful questions and seeking systematic answers. It can also serve as a cornerstone for advancing knowledge and fostering academic excellence.
You can also get insights about the topic here.
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Dear Prof. Javeria Khalid
Yes, the simulations PhET from the University of Colorado Boulder has Inquiry as a pivotal part of their teaching philosophy, that is also learning centered in students and use active learning strategies.
Please follow,
Interactive Simulations, University of Colorado Boulder, license CC- BY-4.0 CC-BY-4.0 (https://phet.colorado.edu).
Kind Regards.
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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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A conference is seen as a gathering of a few individuals to examine a specific point. It is frequently befuddled with an assembly, colloquia or symposium.
Generally, Conferences are called every year or two depending on the constitution of the society. Scientist come along and present their research article. Such types of conferences are very helpful as they generate many ideas on which we can work in future.
I have a comprehensive article piece that covers all the major types of conferences. go and check it out.
What additional types would you add here?
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1. Academic Conferences
These are gatherings where researchers present their findings, discuss current trends, and network with peers. They can be further categorized into:
· Themed Conferences: Focused on specific topics or areas of study.
· General Conferences: Cover a wide range of topics and are often organized by professional societies.
· Professional Conferences: Not limited to academics, these may include industry professionals discussing academically related issues.
2. Symposiums
Symposiums are smaller meetings that concentrate on a specific subject. They often feature interactive sessions like panel discussions and poster presentations, fostering in-depth discussions among experts.
3. Workshops
Workshops are hands-on sessions where participants engage in activities to learn new skills or techniques. They typically emphasize practical applications and collaborative learning.
4. Seminars
These are educational sessions focused on a particular topic, often involving presentations followed by discussions. Seminars can be more informal than traditional conferences.
5. Poster Sessions
In poster sessions, researchers present their work visually on posters. Attendees can walk around and engage with presenters to discuss their research in a more informal setting.
6. Plenary Sessions
These sessions involve all conference attendees and often feature keynote speakers who set the tone for the event. Plenary sessions may include discussions on significant topics relevant to the entire audience.
7. Panel Discussions
Panel discussions consist of multiple experts discussing a specific topic, often allowing for audience interaction through questions and comments.
8. Unconferences
Unconferences operate without a predefined structure, allowing participants to propose topics and lead discussions based on collective interests. This format encourages active participation and flexibility.
9. Round Tables
Round table discussions involve a small group of participants discussing a specific issue or topic in an informal setting, promoting dialogue and exchange of ideas.
10. Congresses
Congresses are large formal events that gather experts to deliberate on common interests, often featuring various activities such as lectures, panels, and networking opportunities.
11. Multi-Track Conferences
These conferences offer multiple parallel sessions on different topics, allowing attendees to choose which sessions to attend based on their interests.
12. Virtual and Hybrid Conferences
With advancements in technology, many conferences now take place online (virtual) or combine in-person and online elements (hybrid), allowing for broader participation regardless of geographical constraints.
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Fast thinking relies on intuition, either performing fast analysis of avilable data or ignoring large amounts of data. Sometimes intuition is useful, but sometimes fast thinking is based on previous experiences and becomes a barrier to growth and change. Do you think people should rely more on intuition or decide slowly?
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This is a great question. Have you heard of the "Kolbe Index Leadership Test"? It assesses how leaders tend to decide things - is it quickly, based on intuition, or rather systematically and based on data? My style, based on the leadership test, is the 'systematic' thinker. However, having said that, I see the value in deciding by intuition, especially in times of crisis when there is no time for debating.
Some people have a really strong sense of intuition - based on emotional intelligence - and their opinion can hold great value, depending on if others buy into it. I'd say that in general, deciding by intuition may not be the style that works best with teams, because it relies on one person's "feeling", and others do not "get" the rationale, because there may be no logical reason for that opinion, with it just being based on a personal feeling. Basing a decision on data and logical reasons is a more approachable way to get others' buy-in when working in teams.
As a leader, when intuition calls for deciding a certain way, if one wants the participation and buy-in of their team, and they have a strong intuition, they would need to find ways to rationalize their position. This is not always easy, especially if others offer a different, more readily logical approach.
All in all, intuition can definitely be insightful; however it can also pose limitations in terms of being accepted by team members.
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Hi Everyone,
Recently I submitted my manuscript to a journal publisher. What left me wondering is that a question asked by the system in my submission, which was "Do you prefer open access or subscription-based for your manuscript?". This is actually the first time I have been asked that type of question when submitting my manuscripts so far.
Is it a common practice that you have encountered? If so, does it potentially make any certain bias when the journal editorial offices make decisions (accept or reject) on the manuscript? I assume the revenue for open-access is much more worthy than the subscription-based. I might be wrong.
Thanks for everyone's insight!
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Hello Dr Taufik Slamet
I agree with Prof Jochen Glaser that it does not seem to influence whether your manuscript/paper is accepted. If it is good quality work, it should be accepted regardless of your payment option.
My personal preference is usually to get "subscription" to save costs. I do not know that my work ever got rejected for this reason (payment choice) but I am lucky that I do not have deadlines for publishing something so if my paper is rejected, I will just try with another journal (but might have to follow some recommendations from the review(s)).
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There is a saying which goes along the lines of “Why do rigorous research when you have already made up your mind”
This stems the question -- How should a researcher mitigate /eliminate the influence of their personal, social and/or even religious beliefs on their research findings? … because such beliefs can/may promote bias in the interpretation of research findings.
There is no right or wrong answer, hence feel free to convey your views.
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Thank you Marharyta Ratushniak . Your response is appreciated and I am in full agreement of your response. I am also pleased that you consider it to be an interesting question. Strangely, there has been no response to this question considering I posted this around 4 months ago. I was assuming that others would also consider it to be a good question, as you have. Hence you are the first to respond and have provided great insight. Thank you.
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Hello everyone, I am a grad student currently taking a course on research and evaluation in education. I would like to know your thoughts on research vs evaluation. Do you feel there is distinguishing characteristics between or do you feel the overlap? Is there one that your prefer? As a high school algebra teacher, I do believe evaluation has the biggest influence in education especially when I do formal and summative assessments with my students. Thank you so much for taking time out of your day to answer my question and I look forward to hearing back from you.
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Dear Saily Valadez, you raise an important, but not entirely simple question.
The distinction between 'research' and 'evaluation' lies in their objectives, methods, and areas of application.
Research aims to generate new knowledge or expand existing knowledge. It is often theory-driven and exploratory, seeking to discover or understand fundamental principles. Research investigates open questions and tests hypotheses to systematically gain new insights. In contrast, evaluation focuses on assessing the value or effectiveness of an existing practice, program, or intervention. It seeks to evaluate outcomes, processes, or structures to determine whether specific goals have been met.
In terms of methods, research employs a wide variety of approaches, including qualitative, quantitative, experimental, and non-experimental methods, often aimed at developing new theories or models. It can be exploratory and is often foundational or applied in nature. Evaluation, on the other hand, tends to use more standardized or pragmatic methods (such as surveys, interviews, or data analysis) to answer specific questions about a project or program. Its goal is to provide measurable results based on concrete criteria or benchmarks.
Regarding areas of application, research is conducted in various fields, such as science, technology, social sciences, and medicine, and is typically long-term and broad in scope. Its primary goal is to contribute to general knowledge, without necessarily aiming for immediate practical application. Evaluation, however, is often carried out in practical fields like education, public administration, healthcare, development aid, or project management. It is more practice-oriented and seeks to provide actionable insights to improve programs or decision-making processes.
In summary, research seeks to uncover new knowledge and theoretical foundations, whereas evaluation assesses existing measures or processes to determine their effectiveness or efficiency.
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What is your favourite and/or frequently used Research Paradigm to conduct research e.g Positivism, Constructivism, Interpretivism, Critical Theory etc... and why?
Do you also think there should be more paradigms introduced in the future?
Feel free to share your thoughts. There is no right or wrong answer. Your thoughts are valuable.
Thank you
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Constructivism in a research-based STEM curriculum design.
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I’m planning to apply for an MSc in Computer Science with a specialization in Secure and Reliable Systems at ETH Zurich. For this, I aim to develop a robust Master’s thesis proposal. As a foundation, I want to create a Bachelor’s thesis focused on cutting-edge cryptographic technologies, particularly Zero Knowledge Proofs, Multi-Party Computation, and blockchain.
I’m reaching out to fellow researchers for potential research questions and ideas on how to extend a Bachelor’s thesis into a solid Master’s thesis proposal. Your insights and experiences would be invaluable in shaping my research direction!
#Cryptography #ZeroKnowledgeProofs #MultiPartyComputation #Blockchain #SecureSystems #ResearchIdeas #ETHZurich #ThesisProposal
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Can corresponding a author add new co authors without the consent of 1st author?
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The corresponding author has no right to add, delete or change the position of authors without consulting the other authors. Normally the authors once fixed should not be changed
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I am working on Industrialization in a State of India. It covers industrial development, industrial policy and regional disparities (disparities in terms of industry) of Uttar Pradesh. The study will be based on secondary data which will be taken from MoSPI, the Directorate of Economics and Statistics (DES) of Uttar Pradesh and other secondary sources. It will use ASI data, income data and data on infrastructure (State and Central).
I intend to employ Action Research Method as a Methodology for my research.
I studied in a book and found that "Action research is done in most of all the business and industrial unit to find the solution of local problem". I went thru the available literature on the industry but did not get a single study that did use action research method as a research methodology in the industry. I found some research in Education that used action research method.
I am searching literature that used action research method in the industry. Please suggest me some literature. (any study at Regional, National and International levels.)
I also request that please guide/suggest/send me the process of the Action Research method in the Industry.
Please suggest to me, if there is any book that tells about Action Research Method in Industry.
--
Raghavendra
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Hello Sir, David L Morgan
I studied in a book and found that "Action research is done in most of all the business and industrial unit to find the solution of local problem". Somewhere I also read about secondary data in action research. I have some idea about it and work is going on....
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Muñoz, Lucio, 2002.  Non-Traditional Research Methods and Regional Planning Needs in Developing Countries: Is There An Ideal Methodology?, In: THEOMAI, Issue 6, Second Semester, Argentina
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Thank you Mohamad for sharing the link in redalyc
Respectfully yours;
Lucio
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Despite the clear benefits of personal and professional coaching, many leaders hesitate to take advantage of these resources. Unlike therapy, which focuses on clinical issues, coaching offers leaders an opportunity to gain deeper insights into their strengths, areas for growth, and the impact they have on their teams and organisational culture.
The question is: what prevents leaders from engaging with a coach? Is it a perceived lack of necessity, reluctance to self-reflect, or perhaps organisational culture? Coaching can help leaders support their teams more effectively, create stronger, more supportive cultures, and even enhance their own and their organisation’s reputation.
I invite researchers and professionals to weigh in on this topic. What are your experiences with coaching in leadership roles (not limited to large organisations, leaders of small businesses, team leaders, or anyone in a leadership position fits into this category)? How do you see coaching fitting into leadership development today? What barriers do you believe prevent leaders from seeking coaching, and how can these be overcome?
Or are we not communicating research findings about coaching in a way that sparks interest in businesses and organisations? (And I’m not referring to executive coaching, which is a different conversation altogether.)
#LeadershipDevelopment #CoachingCulture #SmallBusinessLeadership #ResearchImpact #TeamLeadership
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Enrique Gomez
Ciaran Collins
I think it's worth sharing this article from Harvard Business Review, which, despite some valid points, raises concerns about the potential risks to the coaching industry's reputation and leaders' perceptions of coaching benefits due to the author's overly pessimistic tone and exaggerated title.
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Hello everybody
I'm so curious about editorial board payment. Recently I'm added to international journal as an editorial board. So, I got dome questions to ask.
How much does journal pay the editorial board members?
What does that depends on?
Do you have any experiences about it?
Please share your ideas to discuss
Best wishes
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Thank you for initiating this discussion.
As far as my knowledge goes, journals do not pay anything directly to editorial board members or even reviewers. Its true that as an editorial board member sometimes you get benefits like you get the hard copies of the journals or get invited in conferences organized by them.
These jobs are most of the time honorary jobs. However, you have to work hard when you are in such important designations.
The direct benefit of working as an editorial board member is that such points can be mentioned in your C.V. when you apply for jobs. You may also be respected in your existing workplace because of such involvements.
Personally, I am connected to many international journals in the domain of Management and Administration. They have never paid me anything directly.
Best regards,
Anamitra.
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Last year I studied a course on Computer Systems Architecture/Organization. During a lecture, I learned about data hazards and one of the common solutions to them: Reordering the instructions. Modern processors solve this using OOE, but since this is integrated into the processor, it increases chip size, power consumption, and thermal efficiency. So I thought "What if we had an AI-driven processor which does that for the CPU?"
Does anyone know if this has already been successfully researched or implemented? I would greatly appreciate any insightful comments.
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Current research shows promising potential for using AI to improve out-of-order instruction execution in CPUs. However, there are still challenges that require further research and development to achieve effective results.
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Over the past three decades, soil science has undergone a significant transformation, with a growing focus on the intricate world of soil microbiology. As researchers delve into the soil's microbial communities, we are uncovering their critical roles in ecosystem health, nutrient cycling, and soil fertility. The advent of molecular genetic techniques has revolutionized our understanding of these microscopic ecosystem engineers, revealing the complex interactions within the soil.
Join the conversation to share your insights on the latest trends in soil biology.
Whether you're studying the impact of climate change on soil microbiota, the role of microorganisms in carbon sequestration, or developing bio-inoculants for enhanced crop productivity, your expertise is essential in shaping the future of soil science.
To kickstart our discussion, I invite you to read the comprehensive scientometric analysis titled "Trends in Soil Science over the Past Three Decades (1992–2022) Based on the Scientometric Analysis of 39 Soil Science Journals." This article offers valuable insights into the shifting paradigms in soil research and underscores the increasing importance of soil biology in addressing contemporary environmental challenges.
Let's connect, collaborate, and contribute to advancing our knowledge in soil science. Your voice is vital!
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The geoform or relief of the soil, associated with the taxonomic nature of the soil (tropical and temperate soils) and its climatic conditions (tropical in the case of Paraguay) influence the availability of nutrients and these influence the microbiological quality and quantity of the soil. An interesting area of ​​research would be to relate these conditions to the sustainability of agricultural systems, seeking management associations that allow strengthening ecosystem services, as management tools that compensate actions to combat neutral land degradation.
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📢 Call for Papers: New Asian Journal of Medicine, Volume 2 – Issue 2, 2024 📢 We are delighted to announce that the New Asian Journal of Medicine (NAJM) is now inviting submissions for our 2024 issues. In our commitment to advancing global medical knowledge, we are offering free publication for all articles accepted in 2024. Submission Deadline: 🗓️ July 31, 2024 Topics of Interest Include, But Are Not Limited To: Clinical Medicine Public Health Initiatives Medical Ethics Infectious Diseases Chronic Disease Management Medical Imaging Surgical Techniques Healthcare Policy Patient Safety and Quality Improvement Medical Education We welcome submissions from researchers across the globe, aiming to reflect the diverse nature of medical science and practice. Types of Submissions Accepted: Original Research Narrative Reviews Systematic Reviews Editorials Clinical Trials Perspectives Opinions Letters to the Editor Commentaries Submission Guidelines: All submissions must adhere to NAJM guidelines and are subject to a robust peer review process to maintain the highest standards of scholarly integrity and scientific excellence. How to Submit: Please submit your manuscripts through the NAJM online submission system at [https://nasianjmed.com/index.php/najm/announcement/view/2]. If you encounter any difficulties or have questions, contact our editorial office at [editor@nasianjmed.com].
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Can I upload original Research related to Dentistry ?
Thank you
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Hi all,
Editing DNA sequence has been done traditionally in a word doc or google sheets, which often leads to mistakes and limits the ability to create combinations using various regulatory elements in one location (ex: trying out different promoters or signal sequences for a certain ORF).
To solve such issues, PeptiCloud has created a brand new feature called Sequence Playground. Inspired by visual programming or block-based coding, Sequence Playground treats each DNA segment as a block and allows users to mix and match various blocks to combine multiple sequences in an efficient manner. It also allows users to deconstruct a sequence into smaller segments to be used as components.
Please check out the new feature at www.pepticloud.com!
Thank you,
Chris
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Husni Mubarok Yes, it's completely free!
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Hello All,
I am looking for researchers currently in academia who are interested in research in AI and machine learning applications for the telecom industry to collaborate and write research papers. I am a data scientist with 7 years of experience in the industry and with major telecom clients in the US. My research interests are Network Optimization, Network Operations, Data science for Telecom, Machine Learning, and AI.
Best,
Dileesh.
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The six papers in this special section address the application of artificial intelligence, machine learning, and data analytics at different layers and different applications of different types of communications networks. The objective of using these tools is the optimal design and improved operation of networks. These articles feature new opportunities to develop and advance various areas of communications through the use and applications of AI/ML/ deep learning technologies.
Regards,
Shafagat
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I am a Master's student in Crisis and Disaster Management at the University of Portsmouth.
I am conducting my thesis research on stakeholder information needs for extra-tropical cyclones in the UK. I would greatly appreciate your participation in my survey.
This survey aims to gather insights into the types of information needed before, during, and after extra-tropical cyclones, evaluate how well these needs are currently met, and identify areas for improvement in communication strategies.
The collected data will help assess whether large language models (LLMs), such as ChatGPT, can improve information processing and meet these needs more effectively.
Here is the link to my survey: https://forms.gle/hL8Umr3TkWB44yjV8
Please understand that I’m seeking UK participation only!
Feel free to share this with others within your networking group!
Thank you for your time and contribution to this research. If you have any questions or require further information, please feel free to contact me at up864652@myport.ac.uk
#stakeholder #disastermanagement #emergencyplanning #uk #extratropicalcyclones #informationneeds #communication
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Good luck on your research work
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SDGs = UN' Sustainable Development Goals
HEI = Higher Education Institutions
If any relation is detected, you should specify which these are and how they work or must be working. You can give any ideas to optimize this processes or actions.
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Dear Mr. Rocco!
You made valid points to consider. Open science is not "open" enough as knowledge is considered a commodity to pay for. This is reflected in research collaborations:
Quote: "Open science is the science ahead. Open science in the digital era is ‘transparent and accessible knowledge that is shared and developed through collaborative networks’ (Vicente-Saez and Martinez-Fuentes 2018: 434)." in Ruben Vicente-Saez, Robin Gustafsson, Clara Martinez-Fuentes, Opening up science for a sustainable world: An expansive normative structure of open science in the digital era, Science and Public Policy, Volume 48, Issue 6, December 2021, Pages 799–813, https://doi.org/10.1093/scipol/scab049, Open access:
Camilla Tetley, Susanne Koch, Narratives of research collaboration for sustainability at the global science-policy interface: A vehicle for inequality or transformation?, Environmental Science & Policy, Volume 155, 2024,
Yours sincerely, Bulcsu Szekely
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Are you interested in interdisciplinary scientific cooperation, e.g., in various technologies of Industry 4.0/5.0, including generative artificial intelligence technology, Big Data Analytics, quantum computers, artificial neural networks, neuroscience, sustainability, green closed-loop economics, green technologies, eco-innovation, zero-carbon energy technologies, green economic transformation, macroeconomic theories of welfare economy and social market economy, economic and financial crises, risk management, etc.?
In recent years, there has been an increase in the scale of development of interdisciplinary research conducted by teams of researchers and scientists working across disciplines. I research in several different scientific fields between which I see all sorts of connections and correlations. I am also interested in interdisciplinary scientific cooperation in research projects conducted by teams of researchers and scientists working within different scientific disciplines. Considering my areas of ongoing research, I am the one who is interested in interdisciplinary scientific cooperation, e.g. in various technologies Industry 4.0/5.0, including generative artificial intelligence technologies, Big Data Analytics, quantum computers, artificial neural networks, neuroscience, sustainability, green closed loop economics, green technologies, eco-innovation, zero-carbon energy technologies, green economic transformation, macroeconomic theories of welfare economy and social market economy, economic and financial crises, risk management, etc.
As inspiration for interdisciplinary scientific research, I present below a selection of three of my scientific articles representing different scientific fields:
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 have included the results of the research I have carried out 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, climatic, as well as human rights, etc. aspects. 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 opportunities and threats to the development of artificial intelligence technologies 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
Kluczowe zagadnienia wpływu pandemii Covid-19 na gospodarkę i rynki finansowe opisałem w moim poniżej podanym artykule:
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
IMPROVING MANAGING THE CREDIT RISK IN CONDITIONS SLOWING ECONOMIC GROWTH
I invite you to familiarize yourself with the issues described in the publications given above, and to scientific cooperation in these issues.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Are you interested in interdisciplinary scientific cooperation, e.g., in various technologies of Industry 4.0/5.0, including generative artificial intelligence technologies, Big Data Analytics, quantum computers, artificial neural networks, neuroscience, sustainable development, green closed-loop economics, green technologies, eco-innovation, zero-carbon energy technologies, green economic transformation, macroeconomic theories of welfare economy and social market economy, economic and financial crises, risk management, etc.?
Are you interested in interdisciplinary scientific cooperation?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Thanks for invitation, I am ready for scientific cooperation especially in the common points.
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Context: I am writing a Systematic Literature Review (SLR) as part of my master's thesis project. After initially screening the titles and abstracts of 338 papers from four selected databases, I identified 138 papers that matched my inclusion criteria. During the full-text review phase, I encountered difficulty obtaining 3 papers out of the 138. I couldn't access these 3 papers because our university wasn't subscribed to these journals, and the Science Hub Mutual Aid community couldn't help either.
Questions:
(1) Is this acceptable to reviewers in reputable journals?
(2) How should I address this in my SLR?
(3) Is it appropriate to email the authors for copies of their papers?
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Hello Evon,
When I am peer-reviewing I would expect efforts to contact authors by email for their papers, stressing to them the importance of adding to the body of evidence via a review. It is a recognised and standard step in systetmatic reviews to do this. When you complete the PRISMA flow chart (Preferred Reporting Items for Systematic reviews and Meta-Analyses) you will be able to chart reports selected for retrieval (n) versus reports retrieved and not retreived (n).
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Can ChatGPT create research questions or hypotheses? Is the role of the human mind waning in science?
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Intelligent chatbots i.e. ChatGPT, for example, will not create anything completely innovative that a human could not create, because they are trained on achievements, publications, documents, works, etc. previously created by humans. The only difference is the time it takes to generate certain studies, texts, documents, graphics, photos, animations, videos, musical works, other types of works. Information systems equipped with generative artificial intelligence, which have been trained on large data sets and information accumulated in huge Big Data knowledge bases using advanced multi-layered artificial neural networks, modern powerful computers, e.g. quantum computers, these kinds of studies, works, documents will create much faster than humans and at the same time can rely on much more source materials when generating them. On the other hand, what level of creativity will be demonstrated by information systems equipped with generative artificial intelligence, applications available on the Internet equipped with AI technology, multifunctional intelligent chatbots, etc., it already depends only on what level and nature of innovation of generating certain works will be programmed to them by a human. The above issues also apply to the potential applications of intelligent chatbots in the work of researchers and scientists, for example, in the effective processing of the results of scientific research conducted.
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
Kind regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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I completed my PhD last year and am currently not affiliated with or employed by a university. I continue to utilize my previous affiliation for manuscripts resulting from the projects I undertook during my PhD. However, I am involved in other collaborative projects. I am curious about the possibility of obtaining an honorary status from a university or research institute for the purpose of publication, allowing me to use their affiliation until I secure a post-doc or research position in a university or institution. Is this feasible?
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Yes, you can secure honorary affiliation for post-PhD publications by contacting academic institutions or research organizations and demonstrating your research contributions and potential. Networking with faculty, attending conferences, and collaborating on research projects can also help establish such affiliations.
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As a vegetarian but also as a human Im ashamed when I see pictures of animals used in cruel experiments. I find it utterly disturbing and in all honesty sickening. What are your thoughts? How do you feel regarding this issue?
Best wishes Henrik
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Don’t ignore alternatives to animal research
Technological advances can reduce the numbers of laboratory animals used in studies — but they need to be carefully validated...
"It’s been more than a year since the law in the United States changed to allow alternatives to animal research when testing drug candidates — but many scientists aren’t aware of the options, notes a Nature editorial. More studies using human tissue — induced pluripotent stem cells, organoids and tiny tissue samples taken from biopsies — could improve the outlook for researchers, patients and animals alike..."
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The Nazca Lines, located in Peru's Nazca Desert, are a series of large geoglyphs depicting various shapes, animals, and geometric patterns. These lines, created by the Nazca people between 500 BCE and 500 CE, have intrigued researchers due to their scale and the precision required to create them, particularly since they are best viewed from above, despite the Nazca lacking flight technology.
One theory suggests the lines served as an astronomical calendar. Maria Reiche and other researchers have pointed out that certain lines align with celestial bodies, indicating they might have been used to mark important dates or celestial events, aiding in agricultural planning or religious festivals.
Another prominent theory is that the lines had religious or ceremonial significance. Many designs depict animals associated with water, a crucial resource in the arid region, leading to the belief that the geoglyphs were offerings to deities related to water and fertility. This spiritual aspect might have been central to their creation.
Additional theories propose that the lines functioned as pathways or pilgrimage routes. The geoglyphs could have guided people to ceremonial sites or places of worship, serving as part of processional rituals. This aligns with the idea that the Nazca Lines had multiple uses, including guiding pilgrims and marking important communal activities.
While modern research, including satellite imagery and ground-penetrating radar, has provided valuable insights, the complete mystery of the Nazca Lines remains unsolved. They likely had various purposes, from astronomical and agricultural to religious and ceremonial. This combination of theories offers a comprehensive understanding, yet the full scope of their significance continues to be a subject of fascination and ongoing study.
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Thank you, Muange Isaac, for your thoughtful comment on the Nazca Lines. I agree that their real and tangible nature, coupled with the various theories about their purpose, adds to the intrigue and importance of these geoglyphs.
Indeed, the fact that the Nazca Lines have a definitive origin and were purposefully designed by their creators speaks volumes about the sophistication and cultural significance of the Nazca civilization. The fact that we have multiple theories—ranging from astronomical markers to ceremonial pathways—highlights the complexity and depth of the lines' meaning and function.
Given the ongoing fascination and research into the Nazca Lines, I’d be interested in hearing your thoughts on a few related points:
  1. Integration of Theories:How do you think the different theories about the Nazca Lines might be integrated? For instance, could the lines have served multiple purposes simultaneously, such as marking celestial events while also guiding pilgrims or serving ceremonial functions?
  2. Modern Technology and Discoveries:How do you see modern technologies, like satellite imagery and ground-penetrating radar, contributing to our understanding of the Nazca Lines? Are there specific technological advancements or methodologies you think could shed more light on their purpose?
  3. Cultural Significance:From your perspective, what role does cultural context play in interpreting the Nazca Lines? How might understanding the broader social, religious, and environmental context of the Nazca civilization influence our interpretations of these geoglyphs?
Your perspective adds valuable insight into the discussion of the Nazca Lines. I look forward to exploring these questions further and continuing our dialogue about this fascinating subject.
Best regards,
Sandeep Jaiswal
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Does the open source alternative to hybrid indexed journals prevent non-funded researchers from publishing papers? I am facing hurdles to publish paper in standard option of hybrid option journals. Can you share your experiences?
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I had a poor experience with the standard option of hybrid option journals. Last year month in February (2023.02.17), I submitted my manuscript. The editor rejected my manuscript after 16 months (2024.06.13) without giving any specific opportunity to defend the reviewers' query. But the same manuscript is under the second review and it's now a better journal. So, don't be upset......
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Research collaboration welcome, Earth Science ?
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I was wondering if you would care to share your thoughts on:
Is the text generated by ChatGPT or by a human?
Do the publishers of research journals use AI detection Tools?
Regards,
Yawar
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Humans plus AI detectors can catch AI-generated academic writing
"A study has found that specific artificial intelligence content detectors and experienced human reviewers can accurately identify AI-generated academic articles, even after they have been paraphrased. Publishers should use both AI detectors and top-notch reviewers to help protect academic integrity in scientific publishing...
“The study provides a crucial insight into the evolving landscape of AI and its implications for academic integrity. The inconsistencies observed in the detection tools, especially regarding false positives with human-written content, emphasise the need for a multifaceted approach that combines AI detection tools with manual review processes,” Elkhatat argued.
“This approach will help mitigate the risks of academic misconduct and enhance the reliability of assessments.”
“Further research and development are essential to refine these tools and adapt them to the sophisticated capabilities of newer AI models. Additionally, future AI detectors will face continuous challenges due to the rapid development of AI generative text.”..."
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Sharing research simultaneously on both platforms
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You can connect your ResearchGate account to LinkedIn, allowing you to share your research and expertise with a broader audience. To do so, sign up for ResearchGate and select the option to connect with LinkedIn. You will be prompted to enter your LinkedIn credentials and authorize the connection. Once linked, you can share your ResearchGate publications, projects, and achievements on LinkedIn, and vice versa. This integration enables you to showcase your academic and professional profile in one place, making it easier to network and collaborate with peers across both platforms.
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Research has proven that successful chemistry cohorts normally spend more time executing practical experiments in the laboratory rather than sitting in the classroom listening to lectures.
Researchers undertaking such job roles, please share your ideas and comments.
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Jürgen Weippert Partly. I think some teachers are governed by the voices above them like principals or someone more powerful like the stakeholders who refused to spend money in buying lab equipments, hence teachers themselves has no say at the end of the day....
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I'm doing some research on how stores can be used as educational tools... so looking for actual examples of t
  1. eureka moment (struggling to understand a concept and then finally being able to crack it OR a creative idea) after reading story or better yet, a group of stories. Group of stories can include things like case study collections, compendiums, or anything including more than one case.
  2. Bridging the gap between theory and practice as a result of reading a story.
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Excellent question, stories can indeed be a powerful educational technique. We have used extensively narratives and metaphors to design playful learning experiences [1,2]. Immersive storytelling was instnrumental to create deeper learning insights and a-ha moments in sensitive topics in history education [3], literacy [4] and in one gamified, story-based course on artificial intelligence in virtual worlds [5].
[1] Mystakidis, S. (2021). Combat Tanking in Education - The TANC Model for Playful Distance Learning in Social Virtual Reality. International Journal of Gaming and Computer-Mediated Simulations, 13(4), 1–20. https://doi.org/10.4018/IJGCMS.291539
[2] Mystakidis, S., Filippousis, G., Tolis, D., & Tseregkouni, E. (2021). Playful Metaphors for Narrative-Driven E-Learning. Applied Sciences, 11(24), 11682. https://doi.org/10.3390/app112411682
[3] Papadopoulou, A., Mystakidis, S., & Tsinakos, A. (2024). Immersive Storytelling in Social Virtual Reality for Human-Centered Learning about Sensitive Historical Events. Information, 15(5), 244. https://doi.org/10.3390/info15050244
[4] Mystakidis, S., & Berki, E. (2018). The Case of Literacy Motivation: Playful 3D Immersive Learning Environments and Problem-Focused Education for Blended Digital Storytelling. International Journal of Web-Based Learning and Teaching Technologies, 13(1), 64–79. https://doi.org/10.4018/IJWLTT.2018010105
[5] Mystakidis, S. (2020). Distance Education Gamification in Social Virtual Reality: A Case Study on Student Engagement. 11th International Conference on Information, Intelligence, Systems and Applications (IISA 2020), 1–6. https://doi.org/10.1109/IISA50023.2020.9284417
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Thinking of journals as “low tier” or “high tier” is distracting from what you actually need to do, which is good work. Do your work as best you can, and publish in the fanciest journal that will accept your papers. Trying to over-optimize will lead to a lot of wasted time and lost productivity, which might end up hurting your chances for future jobs. And you also don’t want to give the impression that you’re more interested in the journal you publish in than in the work you do.
The main difference between a “high tier” journal and a “lower tier” one is that the high tier selects papers that have more surprising results, and are more likely to be wrong. You read that right — results in “fancy” journals such as Nature or Science are pretty often wrong, which makes sense given that they are “groundbreaking”. When doing groundbreaking work, it’s likely you’ll make a lot of mistakes; that’s the price you pay for going too far off the beaten path. Results that make it to more average journals are more mundane, but for that reason it’s also easier to make them more rigorous, and thus it’s less likely they’re wrong.
Remember also that no journal has dedicated reviewers. The people reviewing your work will be essentially the same, whether in Nature (impact factor >30) or in PLOS (impact factor about 3). So a fancy journal selects for how amazing your work sounds more than for how good it is.
That said, of course you want to stay away from the creepy “journals” that invite you to publish your work in them without getting your name right or having any idea what your work is about. It’s probably better to not publish at all than publish there. In some fields — like theoretical physics and most of math — people only really care about the results being available on a preprint server like the arXiv and don’t care where the work ends up being published. This is starting to become more popular in some areas of biology, too, with the bioRxiv (preprint server for Biology).
Another common sense thing to do is to first try publishing your work in a journal that’s just a bit fancier than you think your results are. If they reject your paper, go down the ladder. So if you’ve found a nice, new result that seems somewhat surprising, it’s worth considering submitting it to Nature or Science (or whatever the fancy journal of choice is in your field), just in case they like it. But if your work is a rather obvious extension of existing work, you might be better off heading for a more specialized journal that puts less emphasis on groundbreaking results.
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It depends on several factors as follows:
The most important factor is the quality of the research. If the research is sound and contributes to the field, it should be published regardless of the journal's tier.
High-tier journals have a reputation for publishing high-quality research and often have a higher impact factor. Publishing in such journals can enhance a student's academic profile.
But, some low-tier journals may be more specialized and cater to a niche audience that is highly relevant to the research topic. In such cases, publishing in a low-tier journal can be beneficial for reaching the right audience. If the research findings are timely and need to be disseminated quickly, a low-tier journal with a faster review process might be a better choice. And low-tier journals may offer open access options, which can increase the visibility and accessibility of the research.
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As per the recently released SCIMAGO journal's rankings for 2023 (Journal Rankings on Orthopedics and Sports Medicine (scimagojr.com), there are 320 journals in the list of Orthopedics and Sports Medicine, with the top 10 are presented here.
Four Indian journals have featured in this list: Journal of Orthopaedics (#121), Journal of Clinical Orthopaedics and Trauma (#132), Indian Journal of Orthopaedics (#173), and Journal of Arthroscopy and Joint Diseases (#255).
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It's interesting to see the SCIMAGO journal rankings for Orthopedics and Sports Medicine for 2023 and note the representation of Indian journals within this list. While it's notable that four Indian journals have made it onto the list, their positions within the ranking provide insight into their perceived impact and influence within the field compared to other international journals.
The fact that the highest-ranked Indian journal, the Journal of Orthopaedics, is positioned at #121 indicates that it is recognized for its contributions but may not yet have achieved the same level of global prominence as some of the top-ranked journals. However, being ranked within the top 200 or 300 journals in a specific field still demonstrates credibility and relevance within the academic community.
For Indian researchers and practitioners in the field of orthopedics and sports medicine, these rankings can serve as a reference point for identifying reputable journals for publication and staying updated on the latest research and developments. Additionally, it highlights areas where Indian journals may seek to improve and compete more effectively on a global scale, potentially through collaborations, increased visibility, or enhancing the quality and impact of their publications.
Overall, the inclusion of Indian journals in the SCIMAGO rankings reflects the diversity and contributions of researchers and practitioners from around the world to the field of orthopedics and sports medicine, and it's encouraging to see the representation and recognition of Indian scholarship within this domain.
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Will artificial intelligence help analyze images taken by space supertelescopes and help identify other life forms on distant exoplanets?
Will generative artificial intelligence technology help analyze images taken by space supertelescopes and identify other life forms on distant exoplanets millions of light years away located in other planetary systems, constellations, galaxies?
Space supertelescopes, including one of the most modern and powerful space telescopes, which is the James Webb supertelescope, take many images of galaxies, suns, nebulae, etc., millions of light years distant. In distant galaxies, of which there are millions if not more in the Universe, there are many constellations numbering in the billions, planetary systems that contain many exoplanets. Many of these billions of exoplanets orbiting other suns in other planetary systems are similar in many ways to our plaenta Earth. For many thousands or millions of these exoplanets, the similarity of chemical element composition, physico-chemical conditions, temperature levels, chemical composition of inorganic compounds, atmospheric processes, surface formation, possible presence of water or highly alternative chemical-physical structures, etc. with what is found on Earth may be so great that it is highly likely that life is or has been found on many of these exoplanets. Most likely, these are different life forms to those we know. The dissimilarity of these life forms is determined by different conditions of physical and chemical processes, different composition of chemical elements, different chemical compounds, different atmospheric processes, different temperature ranges, different calendar of rotation around other suns, etc. Perhaps on some of these exoplanets where other life forms arose other intelligent beings also arose. Perhaps on some of these exoplanets where evolved life created other intelligent beings are also present advanced civilizations created by said other intelligent beings. Humanity has been searching for many years for answers to questions about the possible existence of other forms of life, other intelligent beings, other civilizations on distant exoplanets.For years, space supertelescopes have been involved for this purpose, which successively over time as space exploration technology advances, take more and more perfect photographs of more and more distant celestial bodies, galaxies, constellations, planetary systems, exoplanets. This produces a huge amount of data contained in the thousands or millions of photographs taken in this way. It would take many years for a human to analyze such a large amount of data contained in these photographs. Industry 4.0/5.0 technologies, including Big Data Analytics and generative artificial intelligence, can help analyze these large data sets contained in the aforementioned many photographs.
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
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Will the technology of generative artificial intelligence help to analyze images taken by space supertelescopes and to identify other forms of life on exoplanets millions of light years away located in other planetary systems, constellations, galaxies?
Will artificial intelligence help analyze images taken by space supertelescopes and identify other life forms on distant exoplanets?
Will artificial intelligence help identify other life forms on distant exoplanets?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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AI can assist in sifting through vast amounts of data to identify patterns that may indicate the presence of life, such as changes in atmospheric composition or irregularities in planetary characteristics. It can also help in modeling and simulating various conditions that might support life.
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How can the application of new Industry 4.0 technologies, including new generations of artificial intelligence and computerised analytical Big Data Analytics platforms, improve the scale of automation of the processes of performing sentiment analysis on large datasets and information contained in publications included in online indexing databases of scientific and/or professional publications and in the bibliometric research carried out?
As the computing power of processors and the ability to process large and increasingly large data sets and information grows rapidly year on year thanks to technological advances, so also the sets of data and information, so also the possibilities for multi-criteria, automated analysis of large data sets on Big Data Analytics platforms, including the use of Industry 4.0 technologies, including machine learning, deep learning and artificial intelligence are also growing rapidly. Therefore, through the use of the aforementioned technologies, including artificial intelligence and Big Data Analytics, it is also possible to improve the processes of analysing the sentiment of large collections of publications and conducting semi-automated bibliometric research on large collections of publications, including scientific publications collected in online indexing databases of scientific publications. In view of the above, the application of new Industry 4.0 technologies, including new generations of artificial intelligence and computerised analytical Big Data Analytics platforms, may increase the scale of automation of the processes of conducting sentiment analysis on large sets of data and information contained in publications included in online indexing databases of scientific and/or professional publications and in the framework of bibliometric research carried out. The key determinants limiting the possibility of conducting multi-criteria analyses, including sentiment analyses of the content of multiple online publications, professional and/or scientific journals, in addition to technological limitations, include the issue of IT compatibility of Big Data Analytics platforms and the structural and technical conditions of online journal portals and online indexing databases of specific publications, including scientific publications.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How can the application of the new technologies of Industry 4.0, including new generations of artificial intelligence and computerised analytical Big Data Analytics platforms, increase the scale of automation of the processes of performing sentiment analysis on large datasets and information contained in publications included in online indexing databases of scientific and/or professional publications and in the bibliometric research carried out?
What is your opinion on this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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the application of artificial intelligence (AI) and big data analytics greatly enhances publication sentiment analysis and bibliometric research. These technologies enable efficient processing of large volumes of textual data, leading to more accurate sentiment analysis and identification of bibliometric trends. Real-time analysis capabilities allow researchers to track sentiment changes over time, while customization tailors insights to specific research domains. Integration of multiple data sources offers a comprehensive view, and automation streamlines data collection and analysis processes. Overall, AI and big data analytics empower researchers with deeper insights into publication sentiment, influential authors, and impactful publications, fostering innovation and advancement in their fields.
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Hello!
I am working on securing a grant for a study design on participants' willingness to participate in clinical trials. We were hoping to keep surveys anonymous and have them unpaired/unmatched. We would do a pre and post-survey for patients. I'm wondering--what statistical analysis would be best for analyzing those results. I've read mixed reviews on unpaired analyses.
Our potential sample size is 231.
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David Sul - Sorry for this late reply, but thank you for the clarification there as well. This makes sense for study design and the anonymous vs confidential is helpful!
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So I am conducting a research on changes in NO2 and aerosol index during a certain time period of 1 year. I am using sentinel-5 data. Following is the link:
I used anaconda(spyder) to analyze the data, creating a map for each day. So in total, there are like more than 30 images. A made a collage of these for my manuscript but it doesn't look quite neat. And is a bit difficult to comprehend.
Is there any way I can integrate these images into one i.e. one image per month that reveals the average. Any tool or software that is acceptable for research purpose. I really need help with this.
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Hey there Mika Mika,
Absolutely, integrating multiple air quality map images into a single image to depict the average is a great approach for your research. Here's a method using Python and a library called Matplotlib:
1. **Data Preparation**: First, you'll Mika Mika need to download the images from the Sentinel-5 website and organize them properly.
2. **Python Script**: Write a Python script to read all the images, calculate the average, and create a new image.
```python
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
# Function to read an image and convert it to numpy array
def read_image(image_path):
img = Image.open(image_path)
return np.array(img)
# Function to calculate the average of images
def average_images(image_paths):
total_images = len(image_paths)
first_image = read_image(image_paths[0])
sum_image = first_image.astype(np.float64)
# Summing up all images
for path in image_paths[1:]:
img = read_image(path)
sum_image += img.astype(np.float64)
# Calculating the average
average_image = (sum_image / total_images).astype(np.uint8)
return average_image
# List of paths to your daily images
daily_images_paths = ["path_to_your_images/image1.png", "path_to_your_images/image2.png", ...]
# Call the function to get the average image
average_img = average_images(daily_images_paths)
# Save the average image
plt.imsave("average_image.png", average_img)
```
3. **Visualization**: You Mika Mika can also visualize the average image using Matplotlib.
```python
plt.imshow(average_img)
plt.axis('off')
```
This script will generate an average image from all the daily images you Mika Mika have. It's important to ensure that the images are aligned and have the same dimensions. You Mika Mika can adjust the script accordingly if your images have different sizes.
Some interesting articles to read are:
Feel free to reach out if you Mika Mika need further assistance!
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I am a student conducting research for my course and I am having trouble in finding a pill for Ketoconazole. However, there are a lot of creams available in the pharmacies. Would it be possible to use that cream when testing against grown fungi on plates?
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Using topical cream as the source of antibiotic for the disk diffusion method may not be the most reliable or standard approach. The disk diffusion method typically requires the use of standardized antibiotic disks containing specific concentrations of antibiotics. These disks are manufactured under controlled conditions to ensure accuracy and reproducibility of results.
Topical creams may contain various other ingredients besides the active antibiotic compound, which could interfere with the diffusion of the antibiotic into the agar medium or affect the results of the test. Additionally, the concentration of the antibiotic in a topical cream may not be suitable for the disk diffusion method.
If you need to perform the disk diffusion method, it's best to use commercially available antibiotic disks that are specifically designed for this purpose and have been validated for accuracy and reliability. If you're looking to test the efficacy of a topical cream, it's more appropriate to use other methods such as minimum inhibitory concentration (MIC) testing.
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I am studying leadership style's impact on job satisfaction. in the data collection instrument, there are 13 questions on leadership style divided into a couple of leadership styles. on the other hand, there are only four questions for job satisfaction. how do i run correlational tests on these variables? What values do i select to analyze in Excel?
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First, you need to do the correlation between your target variable and each of your potential independent variables. After checking what independent variables are the more correlated to your target variable (as mentioned earlier coefficient correlation closest to - 1 or + 1). Once, you decide according to these correlation coefficients which variables you can select for your model, you need to ensure that there will be no multicollinearity in your model. To ensure that, for each independent variable you do correlation tests again. If two independent variables are too correlated, you should introduce only one in your model (e.g. the variable which had the higher correlation rate with your dependent variable).
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Hey there!
I want to learn about correlation. I recently worked on a project related to rice genotypic trials, using a one-factorial RCBD design. While I know how to statistically analyze phenotypic and genotypic correlation, I specifically want to learn how to analyze environmental correlation using R. Could anyone help me out?
Thank you in advance. :)
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See the video on youtube on the subjects
genotypic and phenotypic correlation in r: