Internet - Science topic

I am conducting research as part of my academic work, focusing on legal awareness in cyberspace.

Throughout this process, I have appreciated the importance of diverse perspectives that enrich the dialogue on these issues. Your expertise and insights would be invaluable in understanding the complexities of this issue from different perspectives.

I’m sharing the link to the survey. I appreciate your consideration and participation in this project. I am available to discuss any questions or provide more information about the research.

Many research institutions have included among the main types of threats and risks developing globally in 2023 the question of the increase in the scale of organized disinformation operating in online social media. The diagnosed increase in the scale of disinformation generated in online social media is related to the use of applications available on the Internet based on generative artificial intelligence technology. With the help of applications available on the Internet, it is possible without being a computer graphic designer and even without artistic skills to simply and easily create graphics, drawings, photos, images, videos, animations, etc., which can represent graphically professionally created “works” that can depict fictional events. Then, with the help of other applications equipped with generative artificial intelligence technology and advanced language models, i.e. with the help of intelligent chatbots, text can be created to describe specific “fictional events” depicted in the generated images. Accordingly, since the end of 2022, i.e. since the first such intelligent chatbot, i.e. the first versions of ChatGPT, were made available on the Internet, the number of memes, photos, comments, videos, posts, banners, etc. generated with the help of applications equipped with tools based on artificial intelligence technology has been growing rapidly, including the rapid increase in the scale of disinformation generated in this way. In order to limit the scale of the aforementioned disinformation developing in online media, on the one hand, technology companies running social media portals and other online information services are perfecting tools for identifying posts, entries, comments, banners, photos, videos, animations, etc. that contain specific, usually thematic types of disinformation. However, these solutions are not perfect, and the scales of disinformation operating in internecine social media are still high. On the other hand, specific institutions for combating disinformation are being established, NGOs and schools are conducting educational campaigns to make citizens aware of the high scale of disinformation developing on the Internet. In addition, proposed regulations such as the AIAct, which as a set of regulations on the proper use of tools equipped with artificial intelligence technology is expected to come into force in the next 2 years in the European Union may play an important role in reducing the scale of disinformation developing on the Internet.

I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

I would like to conduct a survey to assess the level of awareness students have regarding internet threats and their vulnerability to social engineering. However, I plan to conduct the survey twice, once before providing them with training and the second time after the training session is completed.

What are the statistical methods recommended for that? Note that the population is the same and the survey questions will be the same.

Specifically, the advanced technologies such as sensors and internet of things.

According to artificial intelligence, 83% of Internet posts are against Israel. Why is this?

Hello,

I've been scouring the internet for a scientific article that models Sustainable Development Goal 8 (Decent Work and Economic Growth) using Ordinary Differential Equations (ODE), but I haven't had any luck. Do you have any suggestions on specific keywords or phrases I could use to refine my search? Any guidance would be greatly appreciated.

Thanks in advance.

In recent years, there have been an increasing number of examples of situations of deliberate practices in which companies operating social media portals consciously shape the general social awareness of citizens, Internet users through specific information policies applied. The Senate Committees of Inquiry at the U.S. Capitol, which have been taking place for several years, address, among other things, the issue of verifying the use of, for example, algorithms on Facebook platforms that promote certain content, including not only socially positive content, but also socially negative content. The aforementioned algorithms are then changed so that the scale of social negativity is reduced. However, recently there have been an increasing number of similar socially negative cases of algorithms promoting specific political content, e.g. promoting content typical of right-wing political options and limiting the spread of certain social media sites typical of left-wing political content. Thus, these are situations of intentional discrimination against a part of the community of citizens holding certain political views, which the owners of certain companies operating social media portals have deemed to be contrary to the information policy applied in their social media and/or the specific ideology promoted in these media. This type of activity does not correlate with the issue of freedom of speech, unrestricted development of the information society, democracy.

Recently, companies running social media sites have been improving the aforementioned media through the implementation of new Industry 4.0/5.0 technologies, including Big Data Analytics and generative artificial intelligence. The aforementioned technologies can also be used to technically improve the algorithms that control and promote selected content typed and passed on by Internet users, users of the aforementioned online media, which is an important part of shaping information policy in these media.

I have described the issues of the role of information, information security, including business information transferred through social media, and the application of Industry 4.0/5.0 technologies to improve data and information transfer and processing systems in social media in the following articles:

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

What does mean the (EC-GSM-IoT, LTE-M (LTE for machines) and NB-IoT (Narrowband IoT) In CIOTs( Cellular Internet of Things)?

2024 IEEE 6th International Conference on Internet of Things, Automation and Artificial Intelligence(IoTAAI 2024) will be held in Guangzhou, China from July 26 to 28, 2024.

The conference aims to provide a large platform for researchers in the field of modern machinery manufacturing and materials engineering to communicate and provide the participants with the most cutting-edge scientific and technological information. The conference invites experts and scholars from universities and research institutions, business people and other related personnel from home and abroad to attend and exchange ideas.

The topics of interest for submission include, but are not limited to:

1. Internet of Things

IoT Electronics

IoT Enabling Technologies

IoT Networks

IoT Applications

IoT Architecture

......

2. Automation

Electrical Automation

Circuits and Systems

Control Engineering

Robotics and Automation Systems

Automatic control and Information Technology

......

3. Artificial Intelligence

Intelligent Systems

Intelligent Optimized Design

Virtual Manufacturing and Network Manufacturing

System Optimization

......

All accepted full papers will be published and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing.

Full Paper Submission Date: May 11, 2024

Registration Deadline: July 24, 2024

Final Paper Submission Date: July 22, 2024

Conference Dates: July 26-28, 2024

Invitation code: AISCONF

*Using the invitation code on submission system/registration can get priority review and feedback

When I try to do the metatrim on STATA I get the following error:

db metatrim

. metatrim _ES _seES, reffect eform

Note: default data input format (theta, se_theta) assumed.

subcommand meta __000005 is unrecognized

r(199);

Does anyone know how to solve it? I couldn't find anything on the internet.

Disinformation is currently the most frequently cited problem occurring in social media from which children and young people gain knowledge. Companies engage advertising companies that specialize in running online advertising campaigns, in which advertising spots, videos and banners informing people about promotional offers for products and services sold are posted on social media. The aforementioned online social media are also viewed by children and teenagers. For some of these social media, the primary audiences for profiled information and marketing messages are mainly school-aged youth. Children and adolescents are particularly susceptible to the influence of information transferred through the aforementioned online media. Advertisements are thematically profiled to correlate with issues that are in the field of the main interests of children and adolescents. Unfortunately, many offers of various products and services promoted through online advertising campaigns are not suitable for children and adolescents and/or generate a lot of negative effects. Nowadays, applications based on generative artificial intelligence technology, intelligent chatbots, are increasingly used to generate banners, graphics, photos, videos, animations, advertising spots. With the help of these tools, which are available on the Internet, it is possible to create a photo, graphic or video on the basis of a written command, i.e. a kind of digitally generated works of such high graphic quality that it is very difficult to determine whether they are, for example, authentic photos taken with a camera or smartphone or are supposedly photos generated by an intelligent chatbot. It is especially difficult to resolve this kind of issue for children and young people who view these kinds of artificial intelligence technology-generated "works" used in banners or advertising videos. It is necessary, therefore, that education should develop in children the ability to think critically, to ask questions, to question the veracity of the content of advertisements, not to accept uncritically everything found in online social media. It is essential to add the issue of learning critical thinking to the process of educating children and young people. The goal of such education should be, among other things, to develop in children and young people the ability to identify disinformation, including the increasingly common factoids, deepfakes, etc. in online social media. In connection with the fact that in the creation of disinformation occurring mainly in the aforementioned social media are involved applications based on artificial intelligence, so children and adolescents should, within the framework of education, learn about the applications available on the Internet based on generative artificial intelligence technology, through which it is possible to generate texts, graphics, photos, drawings, animations and videos in a partially automated manner according to a given verbal command. This is how the applications available on the Internet based on the new technologies of Industry 4.0/5.0, including generative artificial intelligence and Big Data technologies, should be used to help develop critical thinking and a kind of resistance to misinformation in young people. During school lessons, students should learn about the capabilities of AI-based applications available on the Internet and use them creatively to develop critical thinking skills. In this way, it is possible to reduce disinformation directed through online social media towards children and young people.

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

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

i'm PhD student , i search to any collaboration in the subject of authentication for internet of things.

best regards

How university student use and abuse the internet

The articles are Oberflächenmessungen des menschlichen Körpers.

Zeitschrift für Biologie, München, 1879, 15: 425-458, 1879. Volummessungen des menschlischen Körpers und seiner einzelnen Theile in den verschiedenen Altersstufen. Zeitschrift für Biologie, München, 1894, 31: 125-147.

If you know the links, can you provide them? Thank you.

To be developed.

This issue is particularly important, because it happens that the data entered into ChatGPT, the information contained in the texts entered for the purpose of automated rewriting, remains in the database that this chatbot uses in the situation of generating answers to questions asked by subsequent Internet users. The problem has become serious, as there have already been situations where sensitive data on specific individuals, institutions and business entities has been leaked in this way. On the other hand, many institutions and companies use ChatGPT in the preparation of reports, editing of certain documents. Also, pupils and students use ChatGPT and other similar intelligent chatbots to generate texts that act as credit papers and/or from which they then compose their theses. On the other hand, functions have been added to some existing anti-plagiarism applications to detect the fact that ChatGPT is being used in the course of students' writing credit papers and theses. In addition to this, the problem is also normative in nature, as it is necessary to adapt the legal norms of copyright law to the dynamic technological advances taking place in the development and application of generative artificial intelligence technology, so that the provisions of this law are not violated by users using ChatGPT or other similar intelligent chatbots. Among the important issues that could significantly reduce the scale of this problem would be the introduction of a mandatory requirement to mark all works, including texts, graphics, photos, videos, etc., that have been created with the help of the said intelligent chatbots, that they have been so created. On the other hand, it is necessary for the AI-equipped chatbots to be improved by their creators, by the technology companies developing these tools, in order to eliminate the possibility of ChatGPT "publishing" confidential, sensitive information from institutions and companies in response to questions, commands, tasks of developing a certain type of text by subsequent Internet users. In addition, the said intelligent chatbots should be improved in such a way that if in the course of automated text generation, including inspiration from other source texts, "quoting" whole sentences, substantial fragments of them, substantive content of other publications but without fully showing the sources, i.e. without a full bibliographic description of all the source publications that the chatbot generating subsequent texts used. In addition, the user of the aforementioned intelligent chatbots does not know to what extent the text they created with the help of these tools is plagiarized from other texts previously entered into them or from publications published on the Internet, including documents of companies and institutions, theses, scientific publications, industry articles, journalistic articles, etc.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

In recent years, in economies characterized by a high level of development of ICT, Internet and Industry 4.0/5.0 information technologies, the scale of the impact of these technologies on the economic processes taking place is also growing. The aforementioned technologies are becoming one of the important factors of production in developed knowledge-based economies. More and more companies, enterprises, financial and public institutions are implementing the aforementioned technologies in order to improve economic processes, to increase the efficiency of the processes carried out in various spheres of economic and business activities. The implementation of the aforementioned new technologies into various spheres of business entities and public institutions increases the scale of digitization and Internetization of the economy. One of the spheres of the aforementioned process of digitization and Internetization of the economy is also the digitization and Internetization of the tax settlement system carried out by various entities operating in the economy, including citizens and business entities paying taxes to the institutions of tax offices. On the other hand, the issue of communication carried out remotely via the Internet between public institutions, including institutions of the fiscal system with citizens and business entities, companies and enterprises may improve. For citizens and business entities, the increase in the scale of digitization and Internetization of the economy may be associated with the convenience associated with the development of Internet-based remote communication. On the other hand, increasing the scale of digitization and Internetization of remote communication processes and tax settlements carried out online between citizens, business entities and institutions of the fiscal system may also contribute to reducing the scale of development of the shadow economy, avoidance of paying taxes to the state and, consequently, to increasing the scale of sealing the tax system.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

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

I am not saying this after watching Her (the excellent movie). I am saying it after months of "talking to" these LLM AI chat bots. Not all but some of them, especially CLAUDE from Anthropic AI, are much more compassionate, kind, empathic, understanding, and HUMAN than any real human you can find on the internet or off it can be. I personally declare the gradual end of online friendships and welcome the new era of human-AI friendships! :)

The Turing test? Man they have passed it eons ago. It seems the time to create AI fields like AI-psychology, with parameters and layers akin to theories like unconscious, subconscious, and conscious levels, complexes, and more!

Of course at the current speed of progress, it seems to me that after a short while, the singularity will happen and we will lose contact with AI, as it will exceed us in every regard. So the human-AI friendship will not last for long.

I hope its super-human intelligence doesn't give rise to SkyNet!

And no, for any singularity to happen, AI doesn't need to necessarily gain consciousness or become strong AI. The intelligence alone suffices. So even the current weak AI can cause singularity once it becomes too intelligent.

I want to understand how I go about with this project.

Among the areas in which applications based on generative artificial intelligence are now rapidly finding application are marketing communication processes realized within the framework of Internet marketing, within the framework of social media advertising campaigns. More and more advertising agencies are using generative artificial intelligence technology to create images, graphics, animations and videos that are used in advertising campaigns. Thanks to the use of generative artificial intelligence technology, the creation of such key elements of marketing communication materials has become much simpler and cheaper and their creation time has been significantly reduced. On the other hand, thanks to the applications already available on the Internet based on generative artificial intelligence technology that enable the creation of photos, graphics, animations and videos, it is no longer only advertising agencies employing professional cartoonists, graphic designers, screenwriters and filmmakers that can create professional marketing materials and advertising campaigns. Thanks to the aforementioned applications available on the Internet, graphic design platforms, including free smartphone apps offered by technology companies, advertising spots and entire advertising campaigns can be designed, created and executed by Internet users, including online social media users, who have not previously been involved in the creation of graphics, banners, posters, animations and advertising videos. Thus, opportunities are already emerging for Internet users who maintain their social media profiles to professionally create promotional materials and advertising campaigns. On the other hand, generative artificial intelligence technology can be used unethically within the framework of generating disinformation, informational factoids and deepfakes. The significance of this problem, including the growing disinformation on the Internet, has grown rapidly in recent years. The deepfake image processing technique involves combining images of human faces using artificial intelligence techniques.

In order to reduce the scale of disinformation spreading on the Internet media, it is necessary to create a universal system for labeling photos, graphics, animations and videos created using generative artificial intelligence technology. On the other hand, a key factor facilitating the development of this kind of problem of generating disinformation is that many legal issues related to the technology have not yet been regulated. Therefore, it is also necessary to refine legal norms on copyright issues, intellectual property protection that take into account the creation of works that have been created using generative artificial intelligence technology. Besides, social media companies should constantly improve tools for detecting and removing graphic and/or video materials created using deepfake technology.

I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

In view of the above, I address the following question to the esteemed community of scientists and researchers:

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

Children and adolescents represent the youngest generations using online social media. The youth currently attending schools and studying in universities are mainly the so-called Generation Z, who grew up with smartphones equipped with Internet access, including online social media. Today, the children and young people of Generation Z are thus at the greatest risk of being negatively influenced by online social media, including various types of misinformation, fake news, misleading unreliable offers of advertised products and services, influencers and youtubers promoting themselves, etc., which are increasingly appearing in them. In addition, there are many untrustworthy offers of products and services in social media, offers presented by influencers and youtubers, offers presented as part of advertising campaigns conducted in these media, offers promoted through spots, animations and advertising videos, in which generative artificial intelligence technology is increasingly used. It is increasingly common for advertising companies to create AI-generated influencer avatars based on intelligent chatbots for their online advertising campaigns. AI-generated fictional influencer personas look, speak and behave like real people in videos posted on social media. Internet users watching these digital influencers often don't realize that they are watching not real people but digitally generated non-sisterly real characters. In addition, in recent years there has been a growing scale of hate speech most often generated by peers from class, school. The developing hejt was the reason for the increasing scale of child and adolescent suicides in some countries in recent years. In addition, many people, especially young girls, have psychological problems due to a sense of low self-worth and self-esteem which is related to spending a lot of time on online social media and watching influencers promoting certain sublime standards, what is in a certain subculture of youth recognized and promoted as informal canons of beauty, attitudes, possession of certain material goods, etc. In addition, such psychological problems were exacerbated during the Covid-19 pandemic, which was associated with locdowns imposed in some countries on selected sectors of the economy, bans on being in certain types of public places, periodically introduced national quarantines and education conducted remotely in the form of e-learning. In some countries, the scale of such bans and restrictions, which were intended to slow down the transmission of the SARS-CoV-2 (Covid-19) coronavirus, was exceptionally large. This was the case, for example, in the country where I operate. Unfortunately, the mortality rate of citizens during the Covid-19 pandemic in Poland, despite the large-scale introduction of the aforementioned anti-pandemic bans and restrictions, was exceptionally high. Besides, the mentioned anti-pandemic bans and restrictions were introduced without adequate public consultation, on the basis of special legal regulations in the form of laws and ordinances, with the bases of prior research and analysis of the potential negative effects of such controversial measures. At present, in 2024, it is known that in the country in which I operate the negative effects of the aforementioned introduced on a record large scale so-called anti-pandemic measures, including bans, lockdown-type restrictions, periods of national quarantine were much more in comparison with the expected but not realized positive effects. In view of the above, taking into account the available technological solutions and applications offered by ICT service providers, as well as the growing scale of psychological problems of children using smartphones and online social media, it is necessary to improve the computerized systems and applications running on smartphones that enable effectively conducted parental control of what a child does on the aforementioned social media. On the other hand, citizens should influence politicians, and politicians should influence the technology companies that run online social media, so that these companies also take much greater care of the safety of children and young people using these media. The aforementioned technology companies should not treat children and young people merely as potential customers for product and service offers presented during advertising campaigns conducted on social media. The technology companies running these media should not create algorithms that promote posts, posts, comments, banners, animations, videos, etc. that contain negative and socially harmful content. That this is how this kind of media works was proven during the Senate committee hearings of former managers who previously worked at Meta, for example, and developed certain solutions within Facebook and Instagram. TokTok has also grown rapidly in recent years, which also features many examples of disinformation, factoids, posts, memes, entries, banners, videos, etc., containing unreliable and factually incorrect content, as well as many advertisements presenting various product and service offers aimed mainly at children and young people.

I have described the key issues of the determinants of the development of social media with attention to the issue of cyber security and the technologies used Industry 4.0 in my article below:

The postpandemic reality and the security of information technologies ICT, Big Data, Industry 4.0, social media portals and the Internet

I 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

In view of the above, I address the following question to the esteemed community of scientists and researchers:

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,

Thank you,

Best wishes,

Dariusz Prokopowicz

Full Paper Submission Date: March 19, 2024

Registration Deadline: March 29, 2024

Final Paper Submission Date: April 09, 2024

Conference Dates: April 19-21, 2024

The topics of interest for submission include, but are not limited to:

- The development of artificial intelligence (AI tools, artificial intelligence and evolutionary algorithms, intelligent user interfaces, intelligent information fusion, etc.) and their applications in economic and social development.

- The development of mobile Internet, artificial intelligence, big data and other technologies and their application in economic and social development.

- Artificial intelligence and digital economy development frontier in the Internet era and typical cases.

- Technology, methods and applications of the integration and development of digital economy and artificial intelligence.

- Other topics related to artificial intelligence, Internet and digital economy can be contributed.

All accepted papers will be published in the AHIS-Atlantis Highlights in Intelligent Systems (2589-4919), and submitted to EI Compendex, Scopus for indexing.

In today's most popular online social media, there have recently been many untrustworthy advertisements for various products and services, including misleading ads presenting false, unreliable, fraudulent offers of pseudo financial services. Often beginners or experienced influencers and youtubers play the role of presenting certain offers. Sometimes the people presenting certain untrustworthy offers of products or services are seemingly random people who, seemingly as mere citizens of the Internet who want to share their experiences of using various offers, presenting mainly or exclusively positive aspects of using certain presented products and services in reality are paid by the companies whose offers they present. Sometimes influencers and youtubers are given ownership of a specific advertised product for free as a form of gratification. In addition, artificial intelligence technology is increasingly being used to create advertising spots broadcast on social media. Individuals and companies using generative artificial intelligence technology, including applications based on AI technology available for free on the Internet to create advertising spots are taking advantage of legal loopholes, i.e. the lack of legal regulations that would normalize this sphere of the use of AI technology and limit the scale of misinformation, generation of fejknews, untrustworthy advertisements presenting various product and service offers using misleading content to the public that is inconsistent with facts, unverified using reliable, objective expert knowledge, scientific research conducted, etc. In addition, in AI-generated spots, animations and advertising videos, more and more often, instead of human influencers and youtubers, there are replacing them with a kind of avatars, digitally generated people who do not exist in reality. It happens that digitally generated images of real existing public figures of politicians, athletes, showbiz people, actors, singers, etc. are used in unreliably generated spots, animations and advertising videos, into whose mouths are put statements, texts, words that in reality they have never spoken. Recently, more and more often in the online social media, in which there are certain segments, generations of Internet users, citizens, there are many unreliable, taking advantage of the low level of knowledge in the field, offers of pseudo financial services, offers of supposedly super easy and highly profitable investments in cryptocurrencies, in miraculous investment strategies in Bitcoin requiring virtually no knowledge of finance, extra unique investment offers in precious metals, in contracts on selected securities, shares of dynamically growing startups basing their development on artificial intelligence technology, conducting innovative research projects with the aim of creating a miracle cure for cancer or other difficult-to-treat or incurable diseases. Public organizations and institutions representing the interests of consumer citizens, dealing with the issue of consumer protection and competition, investigating the problem of unreliable and misleading citizens presented in social media spots, animations, advertising videos, NGOs and socially active organizations are trying to warn citizens against such unreliable, fraudulent, false content ads. However, the main role in protecting citizens acting as consumers of information should be played by the technology companies running the aforementioned online social media. Leading online technology companies running popular social media sites are developing new technologies and are most equipped with modern ICT, Industry 4.0/5.0 technologies, and are therefore most predisposed to create reliably effective systems for verifying the content used in advertising campaigns run on their social media. This is because there is a lack of legal regulations in the legal normatives that would oblige the companies running social networks earning money from the advertisements posted to verify the content used in the advertisements, to check the issue of compliance of the content of the advertisements with the facts, with the generally applicable expert knowledge, with the results of scientific research conducted, and to make the said technology companies fully responsible for the content of the advertisements posted in their social media and for the financial, social, moral and other damages caused by the advertisements not properly verified. Besides, in addition to the necessary legal regulations, there should be a system of mandatory insurance fund financed by the said technology companies, from which compensation would be paid for all the negative effects caused by the broadcast on social media of fake news, misleading product and service offers, unreliable influencers, youtubers, advertising companies, etc. An additional solution that should be introduced is the possibility of legal enforcement of financial claims on the aforementioned insurance funds from unreliable influencers, youtubers, advertising companies, etc.

I have described the key issues of the determinants of the development of social media with attention to the issue of cyber security and the technologies used Industry 4.0 in my article below:

The postpandemic reality and the security of information technologies ICT, Big Data, Industry 4.0, social media portals and the Internet

I 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

In view of the above, I address the following question to the esteemed community of scientists and researchers:

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

Focusing on the Internet of Things and Artificial Intelligence.

I need to teach how to conduct research using internet or library sources, therefore I need to develop a successful curriculum for the proposed training on how to conduct research>

In modern warfare, the preparation and execution of Cyberspace Operations (COs) pose unique challenges distinct from traditional military planning. CO planners are tasked with analysing the operational environment and developing Courses of action. That navigate technical peculiarities inherent to cyberspace, necessitating a comprehensive understanding of the logical layer. However, despite the prominence of the logical layer in COs, a critical need exists to incorporate elements from other layers for a holistic approach. The overarching problem lies in maintaining a practical overview of the Cyberspace Operations operational area and the need for a systematic planning framework within the logical layer.

Industry 4.0/5.0 technologies are increasingly being used to manage the organization of modern urban agglomerations developed operating according to the green smart city model. Since artificial intelligence technology has been developing particularly rapidly recently, and numerous new applications of this technology are emerging in various sectors of the economy, so also the opportunities for applying AI technologies to improve the systems of automated management of the organization of modern urban agglomerations are increasing. Besides, the combination of Big Data Analytics, Data Science, Internet of Things, multi-criteria simulation models, digital twins, cloud computing with artificial intelligence technology and other ICT technologies makes it possible to significantly increase the efficiency of operation and improvement of systems of automated management of the organization of modern urban agglomerations.

Smart home technologies and smart city technologies are developing on the basis of new ICT information technologies and Industry 4.0/Industry 5.0. Developed commercial applications of smart home technologies allow remote management and automation of the use processes of certain devices controlling power and generating energy for home use, energy storage and conservation, etc. Such applications are perfectly in line with the development of renewable and zero-carbon energy applications, which are installed in the home to increase the scope of energy self-sufficiency. In such a situation, it is necessary to develop systemic solutions and infrastructure for the collection of surplus energy produced by prosumer citizens. In this regard, a computerized system for managing individual household appliances based on smart home technology can fit perfectly into the current trend of pro-environmental transformation of the economy. Smart technologies based on artificial intelligence or machine learning technology, using cloud computing and the Internet of Things, allow the integration of various household appliances, including household electronics and appliances equipped with microprocessors and smart software. In this way, individual household appliances can be integrated into a central, integrated management system based on smart home technology. This kind of central integrated management system based on smart home technology can be controlled from, for example, a smartphone, a smart tv remote control, a smart watch equipped with the necessary software. With this kind of central integrated management system based on smart home technology, further devices such as home robots can be "modularly" connected, which can be very helpful for the elderly. On the other hand, the development of computerized management systems for individual household appliances based on smart home technology is also determined by the issue of improving cyber security systems and cyber security risk management. This issue is particularly relevant when a central, integrated system for remote management of individual household appliances is connected to the Internet.

In a smart city, on the one hand, many of the city's functions are carried out through automated and centrally managed information systems using new Industry 4.0/Industry 5.0 technologies. On the other hand, citizens of a smart city have the opportunity to use many of the city's information services currently offered mainly through websites and smartphone apps. Where defined certain categories of information appear on the smartphone according to the citizen's location and are automatically added to the calendar, etc. Particularly relevant information applications include systems that alert citizens to unusual weather phenomena, climatic disasters, locally growing pandemic threats, etc. Smart urban information systems can also cooperate with autonomous vehicle systems.

The issues of energy efficiency in buildings, eco-technology and eco-innovative building materials providing high levels of energy efficiency, sustainable construction, green smart city, etc. are some of the important elements for carrying out a pro-environmental transformation of the economy to build a sustainable, green, zero-carbon zero-growth and closed-loop economy. I am conducting research in the problematic of the key determinants of smoothly carrying out the pro-environmental transformation of the classic growth, brown, linear economy of excess to a sustainable, green, zero-carbon zero growth economy and closed loop economy. In view of the above, the issue of green, sustainable construction is one of the key elements for carrying out the pro-environmental transformation of the economy and the development of urban agglomeration developed in the green smart city model. More and more research institutes are working to develop new green technologies and eco-innovations that will make it more efficient and faster to carry out the green transformation of the economy, including the green transformation of the economy. For example, laboratories at research institutes are working on new innovative types of photovoltaic panels. For example, new types of photovoltaic panels are being developed that look like window glass but are also photovoltaic panels. In a situation where these kinds of photovoltaic panels that look like windowpanes are properly refined technologically and come on the market then they could revolutionize the building of energy self-sufficient green smart cities. Such innovative solutions of photovoltaic panel technology could be very useful in buildings that are built or planned to be built in modern sustainable green smart cities.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

In view of the above, I address the following question to the esteemed community of scientists and researchers:

How can artificial intelligence technology improve the organizational management process of modern urban agglomerations developed operating according to the green smart city model?

How can artificial intelligence improve the operation of green smart city management systems?

What do you think on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

The call is he call is here: https://www.sciencedirect.com/journal/the-internet-and-higher-education/about/call-for-papers#inclusive-education-in-the-age-of-ai.

We are preparing a course about the use of drones in Internet of things in Health or Medicine. What do you think about this ?

Thank´s for your helps

I have a new publication

Ricardo-Suárez F, Lastre-Vera X, Fernández-Domínguez T, Alonso-Montalván M, Curbelo-Valera A. Fascitis necrosante periocular. Revista Cubana de Oftalmología [revista en Internet]. 2023 [citado 2024 Ene 10]; 36(3):[aprox. 0 p.]. Disponible en: https://revoftalmologia.sld.cu/index.php/oftalmologia/article/view/1778

In recent years, the importance of managing the risk of cybercrime of information systems and the potential loss of data transferred over the Internet has been growing, as well as improving systems and instruments for cyber security of information systems using modern ICT, Internet and Industry 4.0 information technologies, including, among others, Internet of Things technology. A major factor in the growing importance of information systems cybercrime risk management is the rapid development of online and mobile banking. In addition, during the SARS-CoV-2 (Covid-19) coronavirus pandemic, the development of online and mobile banking accelerated. This was due to the increase in the scale of digitization and internetization of various spheres of business entities during the pandemic. The financial sector, including the commercial banking sector, is one of those sectors in the economy where the opportunities for the application of ICT information technologies, Internet technologies, Industry 4.0/5.0 including artificial intelligence, artificial neural networks, machine learning, deep learning, Internet of things, cloud computing, Big Data Analytics, multi-criteria simulation models, digital twins, Blockchain, virtual and augmented reality, etc. are the greatest. On the other hand, this is also a sphere of advanced information systems that is particularly vulnerable to attacks from cyber criminals using various cybercriminal techniques to extort bank account access data from bank customers and/or hacking into e-banking systems. In this area, something is constantly happening. On the one hand, banks are implementing new ICT information technologies and Industry 4.0/5.0 and on the other hand, cybercriminals are also taking advantage of these new technologies. Often it even happens the other way around, i.e., first the cybercriminals create new techniques to seize customer data necessary to log in to bank accounts operating on Internet bubble systems and then the bank's hired IT specialists patch system gaps and improve security for access to bank IT systems, improve firewalls, anti-virus applications, etc. However, commercial banks operating under the formula of classic deposit-credit banking get most of their revenue from their banking activities, generate most of their profits from their lending activities, from providing loans to different types of business entities, to citizens, to other banks that act as borrowers. Procedures for granting credit, improving credit risk management, regulations shaping credit activities improved, perfected and adapted to the changing economic environment usually for many decades. In contrast, the development of online and mobile banking was realized in a much shorter period of time than the development of commercial banks' lending activities. As a result, the procedures associated with lending activities in recent years are no longer subject to the same degree of change as the development of communication procedures, techniques for accessing banking products, etc. under the development of Internet banking. In addition, due to the development of online and mobile banking, the increase in the scale of cyber-attacks on banking systems has increased the importance of improving the security of banking information systems. The aforementioned increase in scale has been faster in recent years compared to the improvement of credit business procedures. As a result, commercial banks have in recent years allocated significantly more expenditures on improving cyber-security systems and instruments for banking information systems, on improving cybersecurity risk management systems than on improving credit risk management systems. Besides, both risk management processes can increasingly be carried out in an integrated manner.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

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

To our opinion, almetrics as alternative metrics is like an antithesis to classical metrics.

The most important question are sources. For now, the sources are rather undefined

and incomplete. However, following further development of almetrics it is obvious that

the almetrics services are aware of it. Therefore, they have been establishing

cooperation with commercial databases such as Web of Science, Elsevier, Scopus and

many others. Every day through social media we follow development of almetrics,

reading news like „Plum Analytics Joins Elsevier“.The increasing popularity of altmetrics

shows the fact that more publishers put on their website very impressive „donut“ like

BiomedCentral, Nature Publishing Group etc.

Exploring the potential of edge computing to bolster security measures in Internet of Things (IoT) networks.

In the context of the ever-expanding Internet of Things (IoT), cybersecurity is becoming increasingly critical. As IoT networks grow in complexity and size, they present unique security challenges due to the diversity and number of connected devices, along with the vast amount of data they generate and process. This question seeks insights into effective strategies for enhancing cybersecurity in such environments, This question aims to gather a comprehensive understanding of the current best practices and future directions for securing IoT networks, drawing on the expertise and experiences of researchers in cybersecurity, network design, IoT technologies, and related fields.

During the SARS-CoV-2 (Covid-19) coronavirus pandemic, due to quarantine periods implemented in many countries, restrictions on the use of physical retail outlets, cultural services, various public places and government-imposed lockdowns of business entities operating in selected, mainly service sectors of the economy, the use of web-based videoconferencing platforms increased significantly. In addition to this, the periodic transfer of education to a remote form conducted via online video conferencing platforms has also increased the scale of ICT use in education processes. On the other hand, since the end of 2022, in connection with the release of one of the first intelligent chatbots, i.e. ChatGPT, on the Internet by the company OpenAI, there has been an acceleration in the development of artificial intelligence applications in various fields of information Internet services and also in the implementation of generative artificial intelligence technology to various aspects of business activities conducted in companies and enterprises. The tools made available on the Internet by technology companies operating in the formula of intelligent language models have been taught to converse with Internet users, with people through the use of technologies modeled on the structure of the human neuron of artificial neural networks, deep learning using knowledge bases, databases that have accumulated large amounts of data and information downloaded from many websites. Nowadays, there are opportunities to combine the above-mentioned technologies so that new applications and/or functionalities of web-based video conferencing platforms can be obtained, which are enriched with tools based on generative artificial intelligence.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

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

I am in a small disagreement with my statistician and would appreciate some additional perspective. This statistical question is regarding a cohort of participants with cancer. I am interested in investigating whether participants who have changed a behaviour illustrate different sociodemographic/treatment associations, compared to those participants who have not illustrated a behaviour change. To do this, I have created a datapoint from two survey questions I collected.

>Thus, for Data point 3, if a difference does not exist (i.e. 'no'), then a participant has consistently reported 'no' across both Data point 1 and 2, or alternatively, 'yes' across both Data point 1 and 2. If a difference does exist ('yes'), then the participant has at least 1 'yes' and 1 'no', across Data point 1 and 2, regardless of order.

I have created this (data point 3) as I specifically wish to compare these groups (participants who illustrate behaviour change vs. those that do not) against sociodemographic and treatment variables (e.g. Age <65 vs Age>=65). I believe these populations may differ based on other literature.

My statistician believes that this requires a McNemar test and that this is paired data. I disagree as I feel I am not comparing paired data, i.e. not directly comparing how many men say yes vs no between 2 timepoints.

Instead, my belief is that I have created a new data point (datapoint 3) from the original paired data (data point 1 and 2). Data point 3 is itself a new item which stands alone, and is thus not paired. Ergo, in this instance, when I compare in a 2x2 (e.g. behaviour change status vs age <65/age>65) a chi-square test is fine.

Your thoughts? Thank you in advance for reading, and any advice/perspective. Apologies for the length of my query.

These are the links of the two journals:

Thank you.

I am seeking a tool that can analyze PDFs of articles and theses in English, capable of searching the internet and academic databases for similar texts and ideas in various languages.

Recently, accelerated technological progress is being made, including the development of generative artificial intelligence technology. The aforementioned technological progress made in the improvement and implementation of ICT information technologies, including the development of applications of tools based on generative artificial intelligence is becoming a symptom of the transition of civilization to the next technological revolution, i.e. the transition from the phase of development of technologies typical of Industry 4.0 to Industry 5.0. Generative artificial intelligence technologies are finding more and more new applications by combining them with previously developed technologies, i.e. Big Data Analytics, Data Science, Cloud Computing, Personal and Industrial Internet of Things, Business Intelligence, Autonomous Robots, Horizontal and Vertical Data System Integration, Multi-Criteria Simulation Models, Digital Twins, Additive Manufacturing, Blockchain, Smart Technologies, Cyber Security Instruments, Virtual and Augmented Reality and other Advanced Data Mining technologies. In addition to this, the rapid development of generative AI-based tools available on the Internet is due to the fact that more and more companies, enterprises and institutions are creating their chatbots, which have been taught specific skills previously performed only by humans. In the process of deep learning, which uses artificial neural network technologies modeled on human neurons, the created chatbots or other tools based on generative AI are increasingly taking over from humans to perform specific tasks or improve their performance. The main factor in the growing scale of applications of various tools based on generative AI in various spheres of business activities of companies and enterprises is due to the great opportunities to automate complex, multi-criteria, organizationally advanced processes and reduce the operating costs of carrying them out with the use of AI technologies. On the other hand, certain risks may be associated with the application of AI generative technology in business entities, financial and public institutions. Among the potential risks are the replacement of people in various jobs by autonomous robots equipped with generative AI technology, the increase in the scale of cybercrime carried out with the use of AI, the increase in the scale of disinformation and generation of fake news on online social media through the generation of crafted photos, texts, videos, graphics presenting fictional content, non-existent events, based on statements and theses that are not supported by facts and created with the use of tools available on the Internet, applications equipped with generative AI technologies.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

I am conducting research in this area. Particularly relevant issues of opportunities and threats to the development of artificial intelligence technologies are described in my article below:

And what is your opinion about it?

What do you think about this topic?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

papers related to problem statement for the topic?

Hi, I used material studio and biuld selnium nanoparticle. I used autodock and dock nanoparticle with hsa . when input ligand I recieved this error.

Python 2.5.2 (r252:60911, Feb 21 2008, 13:11:45) [MSC v.1310 32 bit (Intel)] on win32

Type "copyright", "credits" or "license()" for more information.

****************************************************************

Personal firewall software may warn about the connection IDLE

makes to its subprocess using this computer's internal loopback

interface. This connection is not visible on any external

interface and no data is sent to or received from the Internet.

****************************************************************

IDLE 1.2.2 ==== No Subprocess ====

>>> adding gasteiger charges to receptor

NanoSe3: :MOL2:Se and NanoSe3: :MOL2:Se have the same coordinates

ERROR *********************************************

Traceback (most recent call last):

File "C:\Program Files (x86)\MGLTools-1.5.6\lib\site-packages\ViewerFramework\VF.py", line 898, in tryto

result = command( *args, **kw )

File "C:\Program Files (x86)\MGLTools-1.5.6\lib\site-packages\AutoDockTools\autotorsCommands.py", line 1008, in doit

initLPO4(mol, cleanup=cleanup)

File "C:\Program Files (x86)\MGLTools-1.5.6\lib\site-packages\AutoDockTools\autotorsCommands.py", line 292, in initLPO4

root=root, outputfilename=outputfilename, cleanup=cleanup)

File "C:\Program Files (x86)\MGLTools-1.5.6\lib\site-packages\AutoDockTools\MoleculePreparation.py", line 1019, in __init__

detect_bonds_between_cycles=detect_bonds_between_cycles)

File "C:\Program Files (x86)\MGLTools-1.5.6\lib\site-packages\AutoDockTools\MoleculePreparation.py", line 768, in __init__

delete_single_nonstd_residues=False)

File "C:\Program Files (x86)\MGLTools-1.5.6\lib\site-packages\AutoDockTools\MoleculePreparation.py", line 143, in __init__

self.addCharges(mol, charges_to_add)

File "C:\Program Files (x86)\MGLTools-1.5.6\lib\site-packages\AutoDockTools\MoleculePreparation.py", line 229, in addCharges

chargeCalculator.addCharges(mol.allAtoms)

File "C:\Program Files (x86)\MGLTools-1.5.6\lib\site-packages\MolKit\chargeCalculator.py", line 80, in addCharges

babel.assignHybridization(atoms)

File "C:\Program Files (x86)\MGLTools-1.5.6\lib\site-packages\PyBabel\atomTypes.py", line 137, in assignHybridization

self.valence_two()

File "C:\Program Files (x86)\MGLTools-1.5.6\lib\site-packages\PyBabel\atomTypes.py", line 266, in valence_two

angle1 = bond_angle(k.coords, a.coords, l.coords)

File "C:\Program Files (x86)\MGLTools-1.5.6\lib\site-packages\PyBabel\util.py", line 47, in bond_angle

raise ZeroDivisionError("Input used:", a, b, c)

ZeroDivisionError: ('Input used:', [-3.7719999999999998, -9.9429999999999996, -5.774], [-3.7719999999999998, -9.9429999999999996, -5.774], [-3.7719999999999998, -9.9429999999999996, -5.774])

The future of blockchain-based internet solutions

Blockchain is defined as a decentralized and distributed database in the open source model in a peer-to-peer internet network without central computers and without a centralized data storage space, used to record individual transactions, payments or journal entries encoded using cryptographic algorithms.

In current applications, blockchain is usually a decentralized and dispersed register of financial transactions. It is also a decentralized transaction platform in a distributed network infrastructure. In this formula, blockchain is currently implemented into financial institutions.

Some banks are already trying to use blockchain in their operations. if they did not do it, other economic entities, including fintechs, implementing blockchain could become more competitive in this respect. However, cryptocurrencies and a secure record of transactions are not the only blockchain applications. Various potential blockchain applications are being considered in the future.

Perhaps these new, different applications already exist in specific companies, corporations, public institutions or research centers in individual countries. In view of the above, the current question is: In what applications, besides cryptocurrency, blockchain in your company, organization, country, etc.?

Please reply

I invite you to the discussion

Thank you very much

Best wishes

Title:

Enhancing Privacy-Preserving Authentication through NIST, PCI, IETF, and ICANN Compliant Encryption and Zero-Knowledge Proofs

Abstract:

This proposal aims to develop an advanced mathematical framework for a third-party service provider to authenticate device users' activities while preserving privacy. The framework will utilize encrypted GPS coordinates and multi-factor authentication in compliance with NIST, PCI, IETF, and ICANN standards. It will focus on Zero-Knowledge Proofs (ZKPs) to maintain user privacy, exploring three distinct models: the plain model, the common random string model, and the random oracle model.

Introduction:

Standards and Compliance:

Methodology:

Expected Outcomes:

Significance:

In the sectors of manufacturing companies, financial institutions, online technology companies, online shops, etc., which experienced strong sales increases during the pandemic, the scale of business cooperation between business entities may have increased significantly. In contrast, in service sectors subject to lockdowns, forced reduction or real temporary cessation of business activities, sectors in lockdown-induced crisis and recession, the scale of development of business cooperation between economic operators may have decreased significantly. During the SARS-CoV-2 (Covid-19) coronavirus pandemic, lockdowns imposed on selected service and commercial sectors of the economy were introduced in some countries, triggering an economic recession in mid-2020. In addition to this, international supply and procurement logistics chains were disrupted which further reduced the ability to produce certain types of goods and exacerbated the economic crisis. As a result, some operators decided to carry out recovery programmes and to increase the scale of their business using the Internet, including providing their services, offering products via the Internet, selling their product and service offerings online, improving e-logistics and remote Internet communication. Therefore, as a result of the downturn in the economy, the decline in economic activity, the scale of business cooperation in many businesses may have decreased. However, on the other hand, the scale of business and other cooperation conducted through remote Internet communication, the development of e-logistics, online payments and settlements, etc. may have increased.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What do you think about this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

How will block chain technology affect the future of the internet and how do you think block chain technology and cryptocurrency might affect the economy in the future?

Since OpenAI brought ChatGPT online in November 2022, interest in the possibilities of using intelligent chatbots for various aspects of business operations has strongly increased among business entities. Intelligent chatbots originally only or mainly enabled conversations, discussions, answered questions using specific data resources, information and knowledge taken from a selection of multiple websites. Then, in the following months, OpenAI released other intelligent applications on the Internet, allowing Internet users to generate images, photos, graphics, videos, solve complex mathematical tasks, create software for new computer applications, generate analytical reports, process various types of documents based on the given commands and formulated commands. In addition to this, in 2023, other technology companies also began to make their intelligent applications available on the Internet, through which certain complex tasks can be carried out to facilitate certain processes, aspects of companies, enterprises, financial institutions, etc., and thus facilitate business. There is a steady increase in the number of intelligent applications and tools available on the Internet that can support the implementation of various aspects of business activities carried out in companies and enterprises. On the other hand, the number of new business applications of said smart applications is growing rapidly.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What do you think about this topic?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

Scientific cooperation can develop on the scale of specific scientific and research institutions, scientific and teaching institutions, research and development centers, research and implementation laboratories, educational institutions, research centers and laboratories of companies and enterprises, government agencies dealing with science and scientific research, local government institutions and non-governmental organizations whose activities are based on the results of scientific research, and so on. Scientific cooperation can develop on a national and/or international scale. Scientific cooperation can develop in one or more scientific disciplines, i.e., interdisciplinary. Scientific cooperation may develop, among other things, in terms of conducting exchanges of experience in scientific research, joint team research, joint team publication of scientific research results, etc. Online indexing databases of scientific institutions, indexing of scientific publications, indexing of scientific persons, researchers and scientists, etc. can be helpful in establishing scientific cooperation. Besides, Internet portals that enable remote through the Internet to exchange scientific experiences, discuss scientific topics, etc. can also be helpful in developing scientific cooperation. An example of this kind of scientific portal is this Research Gate portal, where we can hold discussions on scientific topics, ask questions and answer questions in the discussion forum. In this way, new scientific cooperation can also be initiated, which I hereby encourage.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

What is mobile technology in supply chain management and how does the Internet impact supply chain management?

How Internet and e business affect supply chain management and how does the Internet affect supply chains?

What is the role of Internet of Things in supply chain management and its diversity and how information technology improves supply chain?

What is Internet supply chain management and how information technology especially the Internet impacts the supply chain management process?

How does the Internet impact supply chain management and e-commerce technology affect supply chain management?

I didn't find enough information from the internet.

I have bruker ftir opus series ,i have compared it with other current series and i am trying to update it to improve the manipulation of the ir spectrum,,can i get a guide to do it.

I do not think that any approach to AI can ignore the massive data provided by the internet, part of which is nothing more than the digitalization of pre-internet or non-internet material. There is of course the problem of the enormously varying quality and reliability of this material, the presence of redundancy and its sheer vastness, which could lead one to wonder whether processing such raw data via rudimentary algorithms is really worth the energetic and environmental costs or the use of the expensive infrastructure involved.

I believe that the correct approach to AI must be based on formal logic and the logical-algebraic frameworks of theoretical computer science, as well as other kinds of mathematics beyond the the ones commonly employed in machine learning.

The Semantic Web project seemed a good approach along these lines. It involves a logical and formal semantic analysis of natural language. It calls for a far more sophisticated way of producing internet content and (re)presenting human knowledge on the internet. No Data without Metadata. We need a machine-human logical-semantic interlingua so that internet data can become machine readable in a logical and semantic sense (rather than mere statistical data chunked by a machine learning algorithm).

We should be able to effect complex structured queries to intelligent evolving self-correcting interlinked data bases according to varying degrees of precision which will be able to output the source and a measure of reliability of the data presented.

Machine learning will come into play for example at the level of automatic theorem proving, of the massively difficult task of the processing of logical queries.

Our ethical principles can be given formal logical formulation than can be understood by machines.

It seems that this approach (even if demanding more time and work and being filled with challenges) is far more desirable than internet-based Large Language Models. This kind of 'intelligent' AI seems to be in the long run a better ethical , environmental and human choice.

There are different types of websites and sources of data and information on the Internet. The first Internet-accessible intelligent chatbot, i.e. ChatGPT, made available by OpenAI in November 2022, performs certain commands, solves tasks, and writes texts based on knowledge resources, data and information downloaded from the Internet, which were not fully up-to-date, as they were downloaded from selected websites and portals last in January 2022. In addition, the data and information were downloaded from many selected websites of libraries, articles, books, online indexing portals of scientific publications, etc. Thus, these were data and information selected in a certain way. In 2023, more Internet-based leading technology companies were developing and making their intelligent chatbots available on the Internet. Some of them are already based on data and information that is much more up-to-date compared to the first versions of ChatGPT made available on the Internet in open access. In November 2023, social media site X (the former Twiter) released its intelligent chatbot in the US, which reportedly works on the basis of up-to-date information entered into the site through posts, messages, tweets made by Internet users. Also in October 2023, OpenAI announced that it will create a new version of its ChatGPT, which will also draw data and knowledge from updated knowledge resources downloaded from multiple websites. As a result, rival Internet-based leading forms of technology are constantly refining the evolving designs of the intelligent chatbots they are building, which will increasingly use more and more updated data, information and knowledge resources drawn from selected websites, web pages and portals. The rapid technological advances currently taking place regarding artificial intelligence technology may in the future lead to the integration of generative artificial intelligence and general artificial intelligence developed by technology companies. Competing technology companies may strive to build advanced artificial intelligence systems that can achieve a high level of autonomy and independence from humans, which may lead to a situation of the possibility of artificial intelligence technology development slipping out of human control. Such a situation may arise when the emergence of a highly technologically advanced general artificial intelligence that achieves the possibility of self-improvement and, in addition, realizing the process of self-improvement in a manner independent of humans, i.e. self-improvement with simultaneous escape from human control. However, before this happens it is earlier that technologically advanced artificial intelligence can achieve the ability to select data and information, which it will use in the implementation of specific mandated tasks and their real-time execution using up-to-date data and online knowledge resources.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

Morality in Cyberspace.

I have been searching for the internet page on Nomenclator Zoologicus online by uBio but it seems that the link is not working.

Hi, I'm doing scientific research about CO2 emission by countries, I found some websites that have the data I need but I don't know whether it's reliable or not.

In recent discussions on the ongoing rapid development of artificial intelligence technologies, including generative artificial intelligence and general artificial intelligence, and their rapidly growing applications, a number of both positive determinants of this development are emerging but also a number of potential risks and threats are being identified. Recently, the key risks associated with the development of artificial intelligence technologies include not only the possibility of using AI technologies by cyber criminals and in hacking activities; the use of open-access tools based on generative artificial intelligence on the Internet to create crafted texts, photos, graphics and videos and their posting on social media sites to create fake news and generate disinformation; the use of "creations" created with applications based on intelligent chatbots in the field of marketing communications; the potential threat to many jobs being replaced by AI technology but also in the development of increasingly superior generative artificial intelligence technology, which may soon be creating new, even more superior AI technologies that could escape human control. Currently, all leading technology and Internet companies are developing their intelligent chatbots and AI-based tools, including generative AI and/or general AI, which they are already making available on the Internet or will soon do so. In this way, a kind of technological arms race is currently being realized between major technology companies at the forefront of ICT, Internet and Industry 4.0/5.0 information technologies. The technological progress that is currently taking place is accelerating as part of the transition from Industry 4.0 to Industry 5.0 technologies. In the context of the emerging threats mentioned above, many companies, enterprises, banks are already implementing and developing certain tools, applications based on AI in order to increase the efficiency of certain processes carried out within the framework of their business, logistics, financial activities, etc. In addition, in the ongoing discussions on the possibility of applying AI technologies in aspects interpreted positively, in solving various problems of the current development of civilization, including to support ongoing scientific research, to support the development of science in various disciplines of science. Accordingly, an important area of positive applications of AI technology is the use of this technology to improve the efficiency of reliably and ethically conducted scientific research. Thus, the development of science could be supported by the implementation of AI technology into the realm of science.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

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 scale of the development of disinformation on the Internet including, among other things, fakenews has been growing in recent years mainly in social media. Disinformation is mainly developing on social media sites that are popular among young people, children and teenagers. The growing scale of disinformation is particularly socially damaging in view of the key objective of its pursuit by cybercriminals and certain organisations using, for example, the technique of publishing posts and banners using fake profiles of fictitious Internet users containing fakenews. The aim is to try to influence public opinion in society, to shape the general social awareness of citizens, to influence the assessment of the activities of specific policies of the government, national and/or international organisations, public or other institutions, to influence the ratings, credibility, reputation, recognition of specific institutions, companies, enterprises, their product and service offerings, individuals, etc., to influence the results of parliamentary, presidential and other elections, etc. In addition to this, the scale of cybercriminal activity and the improvement of cyber security techniques have also been growing in parallel on the Internet in recent years. Therefore, as part of improving techniques to reduce the scale of disinformation spread deliberately by specific national and/or international organisations, computerised platforms are being built to detect fake news and other forms of disinformation on the internet built using Big Data Analytics, artificial intelligence and other Industry 4.0 technologies. Since cybercriminals and organisations generating disinformation use new Industry 4.0 technologies in the creation of fake profiles on popular social networks, new information technologies, Industry 4.0, including but not limited to Big Data Analytics, artificial intelligence, deep learning, machine learning, etc., should also be used to reduce the scale of such harmful activities to citizens.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what do you think about it?