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At the moment, the academic world is faced with various challenges that negatively impact science integrity. One is hijacked journals, a second, inauthentic website for indexed legitimate journals, managed by cybercriminals. These journals publish any manuscript by charging authors and pose a risk to scientific integrity. This piece compares a journal's original and hijacked versions regarding authority in search engines. A list of 16 medical journals, along with their hijacked versions, has been collected. The MOZ Domain Authority has been used to check the authority of both original and hijacked journals, and the results have been discussed. It indicates that hijacked journals are gaining more credibility than original ones. This should alarm academia and highlights a need for serious action against hijacked journals. The related policies should be planned, and tools should be developed to support easy detection of hijacked journals. On the publishers' side, the visibility of journals' websites must be enhanced to address this issue. [ABSTRACT FROM AUTHOR]

The document is a list of references to research articles and conference papers that explore the integration of artificial intelligence (AI) and blockchain technology in various fields, including sustainable development, climate change, and supply chain management. The articles cover topics such as the role of AI in logistics and supply chain, the impact of AI on supply chain management, and the use of AI in green innovation and renewable energy transition. The document serves as a valuable resource for library patrons conducting research on these specific topics. [Extracted from the article]

Purpose: Nowadays, many studies discuss scholarly publishing and associated challenges, but the problem of hijacked journals has been neglected. Hijacked journals are cloned websites that mimic original journals but are managed by cybercriminals. The present study uses a topic modeling approach to analyze published papers in hijacked versions of medical journals. Methods: A total of 3384 papers were downloaded from 21 hijacked journals in the medical domain and analyzed by topic modeling algorithm. Results: Results indicate that hijacked versions of medical journals are published in most fields of the medical domain and typically respect the primary domain of the original journal. Conclusion: The academic world is faced with the third-generation of hijacked journals, and their detection may be more complex than common ones. The usage of artificial intelligence (AI) can be a powerful tool to deal with the phenomenon. [ABSTRACT FROM AUTHOR]

This article explores the relationship between emerging and disruptive technologies and the United Nations Sustainable Development Goals (SDGs). It emphasizes the need for further research on how these technologies can contribute to achieving the SDGs, such as poverty reduction and clean energy. The article also includes a bibliometric analysis of existing literature on this topic, identifying key sources, affiliations, and countries involved in research on sustainable development and emerging technologies. It concludes by suggesting future research directions, including the analysis of specific technologies and their impact on the SDGs in different contexts. Additionally, the document provides a comprehensive list of references to academic articles and journals covering topics such as AI, the internet of things, blockchain, and sustainability, making it a valuable resource for library patrons conducting research on these subjects. [Extracted from the article]

Purpose: Academic and other researchers have limited tools with which to address the current proliferation of predatory and hijacked journals. These journals can have negative effects on science, research funding, and the dissemination of information. As most predatory and hijacked journals are not error free, this study used ChatGPT, an artificial intelligence (AI) technology tool, to conduct an evaluation of journal quality. Methods: Predatory and hijacked journals were analyzed for reliability using ChatGPT, and the reliability of result have been discussed. Results: It shows that ChatGPT is an unreliable tool for journal quality evaluation for both hijacked and predatory journals. Conclusion: To show how to address this gap, an early trial version of Journal Checker Chatbot has been developed and is discussed as an alternative chatbot that can assist researchers in detecting hijacked journals. [ABSTRACT FROM AUTHOR]

The article discusses the issue of fraudulent "hijacked journals" that deceive researchers by mimicking reputable journals. These journals have a negative impact on research integrity and can mislead researchers into submitting papers to them. The article emphasizes the lack of awareness among researchers about these journals and provides methods for detecting them. It also highlights the negative effects of citing papers from hijacked journals, such as spreading non-peer-reviewed information and wasting research budgets. The article suggests that authors should carefully check journals before citing papers from them and that publishers should develop software tools to detect possible hijacked journal versions. The list of references cited in the document includes various sources related to the topic of hijacked journals and predatory publishing, covering research studies, articles, and papers that discuss the detection, prevention, and impact of hijacked journals. The document also mentions the funding of a specific journal by the Ministry of Education and Science of the Republic of Poland. [Extracted from the article]

Paper mills, companies that write scientific papers and gain acceptance for them, then sell authorships of these papers, present a key challenge in medicine and other healthcare fields. This challenge is becoming more acute with artificial intelligence (AI), where AI writes the manuscripts and then the paper mills sell the authorships of these papers. The aim of the current research is to provide a method for detecting fake papers. The method reported in this article uses a machine learning approach to create decision trees to identify fake papers. The data were collected from Web of Science and multiple journals in various fields. The article presents a method to identify fake papers based on the results of decision trees. Use of this method in a case study indicated its effectiveness in identifying a fake paper. This method to identify fake papers is applicable for authors, editors, and publishers across fields to investigate a single paper or to conduct an analysis of a group of manuscripts. Clinicians and others can use this method to evaluate articles they find in a search to ensure they are not fake articles and instead report actual research that was peer reviewed prior to publication in a journal. [ABSTRACT FROM AUTHOR]

Purpose: Flattering emails are crucial in tempting authors to submit papers to predatory journals. Although there is ample literature regarding the questionable practices of predatory journals, the nature and detection of spam emails need more attention. Current research provides insight into fallacious calls for papers from potential predatory journals and develops a toolkit in this regard. Methods: In this study, we analyzed three datasets of calls for papers from potential predatory journals and legitimate journals using a text mining approach and R programming language. Results: Overall, most potential predatory journals use similar language and templates in their calls for papers. Importantly, these journals praise themselves in glorious terms involving positive words that may be rarely seen in emails from legitimate journals. Based on these findings, we developed a lexicon for detecting unsolicited calls for papers from potential predatory journals. Conclusion: We conclude that calls for papers from potential predatory journals and legitimate journals are different, and it can help to distinguish them. By providing an educational plan and easily usable tools, we can deal with predatory journals better than previously. [ABSTRACT FROM AUTHOR]

During recent years, the academic world has suffered a lot from the threats of hijacked journals and fake publishers that have called into question the validity and reliability of scientific publications. The purpose of this paper is to tell the in-depth story of hijacked journals. This paper addresses the hijackers themselves, the methods they use to find their victims in the academic world, the methods they use to collect money from unsuspecting researchers by charging them to publish in hijacked journals, how they hide their identities, and how the academic world can best protect itself from these cyber- criminals. Without identifying specific journal hijackers, we tell the story of how an assistant professor of computer and information science from Saudi Arabia (who holds a Ph.D. from a Malaysian university) and his team of Word Press experts from Pakistan hijacked at least six journals including journal of technology, BRI's Journal of Advances in Science and Technology, Magnt Research Report, Scientific Khyber, Saussurea, and created one of the four fake websites for Texas Journal of Science. We also tell the story of how some conferences are integrated with hijacked journals, and how a cybercriminal with a fake address in United Arab Emirates used the pseudonym 'James Robinson' to mass hijack more than 20 academic journals (Journal of Balkan Tribological Association, Scientia Guaianae, Journal of American Medical Association, Cadmo, Entomon, Italianistica, Revue scientifique et technique, Kar- diologiya, Agrochimica, Terapevticheskii Arkhiv, Ama, Tekstil, Fauna Rossii I Sopredel Nykh Stran, Azariana, PSR health research bulletin, etc.). We also address the European cybercriminal with pseudonym 'Ruslan Boranbaev' who hijacked the Archives des Sciences in October 2011 and created the 'Science record journals' (to host three hijacked journals Including 'Science series data report', Innovaciencia, and 'Science and nature'; and seven fake journals) for the first time in the academic world in August 2011. We tell how Ruslan Boranbaev designed a systematic approach to mass hijack more than 25scientific journals, including Bothalia, Jokull, Cienia e tecnica, Wulfenia, Doriana, Revista Kasmera, Mitteilungen Klosterneuburg, Sylwan, HFSP journal, Natura, and Cahiers des Sciences Naturelles. We also tell the story how this genius cybercriminal, whom we could call the king of hijacked journals, created a fake 'web of sciences' portal in 2015 on a dedicated server in France to launch an automated spam broadcasting machine of calls for papers for his hijacked journals. We also present how the Ruslan Boranbaev created numerous online payment portals for collecting the publication charges of hijacked journals, and cheated the Thomson Reuters to provide hyperlinks to the fake website of three hijacked journals in his masterpiece 'revistas-academicas.com'. We also tell the story of how someone adopted the Ruslan Boranbaev approach to cheat the Thomson Reuters to create hyperlinks from master journal list of Thomson Reuters to two of his hijacked journals (GMP review: Allgemeine Forst und Jagdzeitung: http://www.sauerlander-verlag.com). Finally, we present the most comprehensive list of hijacked journals available, including all of those that we have detected from Au- gust 11, 2011 to June 15, 2015.

Predatory publishers are defined as publishers who have financial goals. This definition was introduced for the first time by Jeffrey Beall (2012). In some predatory publishers, we can find some papers that are not related to journal's aim and scope. These journals create special issues in order to publish papers that are not related to journal's aim and scope. Thus, we are faced with a question of how the editor of these journals could evaluate these papers. In some trusted journals, editor invites guest editors for special issues, which are related to journal's aim and scope. On the other hand predatory publishers, publish papers without any external reviewers or guest editors. In addition, some journals that publish irrelevant papers in regular issues are also found. This problem can be seen especially in some biological or life science journals. It seems that these problems pose new challenge for the academic world.

Scholarly publishing currently is faced by an upsurge in low-quality, questionable "predatory/hijacked" journals published by those whose only goal is profit. Although there are discussions in the literature warning about them, most provide only a few suggestions on how to avoid these journals. Most solutions are not generalizable or have other weaknesses. Here, we use a novel information technology, i.e., blockchains, to expose and prevent the problems produced by questionable journals. Thus, this work presented here sheds light on the advantages of blockchain for producing safe, fraud-free scholarly publishing. [ABSTRACT FROM AUTHOR]

Predatory journals are continuing to expand across disciplines and target researchers via different media such as websites and spam emails to potential authors. While multiple studies have described characteristics of predatory journals, less research has been on done on authors' perceptions of and experiences with predatory journals. In this paper, by using a data science approach, we developed a tool that analyzes the content of social media and summarizes what users (authors) have shared about predatory journals. This tool is useful in understanding the current concerns of researchers about predatory journals and examining current activities of these journals. [ABSTRACT FROM AUTHOR]

Most of the countries with elderly populations are currently facing with chronic diseases. In this regard, Internet of Things (IoT) technology offers promising tools for reducing the chronic disease burdens. Despite the presence of fruitful works on the use of IoT for chronic disease management in literature, these are rarely overviewed consistently. The present study provides an overview on the use of IoT for chronic disease management, followed by ranking different chronic diseases based on their priority for using IoT in the developing countries. For this purpose, a structural coding was used to provide a list of technologies adopted so far, and then latent Dirichlet allocation algorithm was applied to find major topics in literature. In order to rank chronic diseases based on their priority for using IoT, a list of common categories of chronic diseases was subjected to fuzzy analytic hierarchy process. The research findings include lists of IoT technologies for chronic disease management and the most-discussed chronic diseases. In addition, with the help of text mining, a total of 18 major topics were extracted from the relevant pieces of literature. The results indicated that the cardiovascular disease and to a slightly lesser extent, diabetes mellitus are of the highest priorities for using IoT in the context of developing countries. [ABSTRACT FROM AUTHOR]

Background: Today, numerous countries are fighting to protect themselves against the Covid‐19 crisis, while the policymakers are confounded and empty handed in dealing with this chaotic circumstance. The infection and its impacts have made it difficult to make optimal and suitable decisions. New information technologies play significant roles in such critical situations to address and relieve stress during the coronavirus crisis. This article endeavours to recognize the challenges policymakers have typically experienced during pandemic diseases, including Covid‐19, and, accordingly, new information technology capabilities to encounter with them. Material and methods: The current study utilizes the synthesis of findings of experts' opinions within the systematic review process as the research method to recognize the best available evidence drawn from text and opinion to offer practical guidance for policymakers. Results: The results illustrate that the challenges fall into two categories including; encountering the disease and reducing the results of the disease. Furthermore, Internet of things, cloud computing, machine learning and social networking play the most significant roles to address these challenges. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) as an emerging technology has widely been discussed in the literature in recent years. There are also bibliometric analyses in this regard that illustrate the current status of IoT research. The bibliometric analyses have been used widely by researchers to provide insights into current topics and identify emerging and future research in different fields. As there are challenges or barriers to the use of IoT, it is necessary for researchers to focus on this area. Various studies have discussed IoT challenges/barriers; however, a picture from such research is not accessible in terms of bibliometrics. This research, therefore, conducts a bibliometric analysis on publications that discuss IoT challenges/barriers to identify challenges most discussed in the literature. Results show that challenges/barriers to IoT usually discussed in the literature include security, privacy, trust, standards, architecture, and energy. [ABSTRACT FROM AUTHOR]

Internet of Things (IoT) is a popular technological paradigm offering several promised advantages. IoT has been facing different challenges discussed by various researchers. The available literature on IoT challenges is mostly based on experimental studies or reviews. The analysis of webpages as a valuable database can be a good idea to provide an insight into IoT challenges. Thus, this paper was aimed at providing an overall view of webpages discussing IoT challenges. In this regard, the text mining approach was implemented to analyze the related webpages. The obtained results revealed that challenges relate to the security of IoT devices, connectivity, data processing, and storage have been the most prevalent topics in the selected webpages. [ABSTRACT FROM AUTHOR]

Natural ventilation is application of natural drift power of wind. Wind can enter and exit buildings through the openings on facades. Hence, Form of facades can impact the air flow behaviour and consequently natural ventilation because they can change the pressure distribution on facades. Moreover, difference between wind-induced pressure on windward and leeward facades is the most important factor affecting natural ventilation. So, it is worthy to focus on facade details in order to enhance natural ventilation. Particularly, geometrical details of facades such as protrusions and indentations e.g. balconies can be considered effective elements on average pressure distribution on both windward and leeward facades, changing pressure difference between these facades. This difference can drive the air flow towards interior spaces significantly. Although this basic rule has been used by different researchers in order to increase natural ventilation buildings, the most research has been studied buildings with flat facades. Therefore, the goal of this research is investigating effects of balcony types on the naturally-ventilated buildings. Three types of balcony are simulated and changes in wind pressure caused on facades are analysed. All these simulations are carried out for normally (perpendicular) and obliquely incident wind. This study is performed with Ansys Fluent 18 for all simulations. The results showed that balcony types can affect the pressure distribution on the opposing facades of buildings, leading to the more or less pressure difference between these two facades. These results show that protrusion (protrusive balcony) can cause more complicated pattern of the wind pressure on facades than the others. Also, re-entrant balcony causes the more pressure difference between the opposing surfaces and enhances wind-driven ventilation in buildings more considerably than the protrusive one. [ABSTRACT FROM AUTHOR]

Adv Pharm Bull, 2021, 11(2), 206-208 doi: 10.34172/apb.2021.023 https://apb.tbzmed.ac.ir Users' Perception of Medical Blockchain Mehdi Dadkhah 1 ID, Mohammad Mehraeen 1* ID, Fariborz Rahimnia 1, Khalil Kimiafar 2 1 Department of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran. 16 Based on our analysis, it is expected that the research studying the tendency toward blockchain acceptance concludes the positive attitude of users toward blockchain. 7 To gather contents related to the medical blockchain, the term "title:medical blockchain" has been searched in the Reddit. Also, it reflects Reddit users as the sample of people who may interact with medical blockchain (To see the distribution of users in Reddit refer to https:// foundationinc.co/lab/reddit-statistics/). [Extracted from the article]

Finding the right experts for data gathering through interview serves as a key for particular research works. However, most expert finding methods in the literature require great deals of technical knowledge, making them somewhat impracticable for business researchers without deep technical knowledge. Accordingly, there is a need for an expert finding solution for researchers without a deep technical background. As business researchers may have knowledge about business intelligence and its tools, the use of business intelligence tools can be used to solve such issue. The present paper discusses the process of using business intelligence tools to find potential experts for example topics. Subsequently, based on a literature review, criteria are presented for distinguishing different experts. Finally, the analytic hierarchy process is discussed for assigning weights to both selection criteria and potential experts. The audience of this paper is researchers who are familiar with business intelligence tools or would like to learn how to work with them. [ABSTRACT FROM AUTHOR]

In recent years, identity theft has been growing in the academic world. Cybercriminals create fake profiles for prominent scientists in attempts to manipulate the review and publishing process. Without permission, some fraudulent journals use the names of standout researchers on their editorial boards in the effort to look legitimate. This opinion piece, highlights some of the usual types of identity theft and their role in spreading junk science. Some general guidelines that editors and researchers can use against such attacks are presented. [ABSTRACT FROM AUTHOR]

Researchers know about the computer programmes used by most journals to manage their submission process. Current journal management systems work as standalones, leading to many problems for both authors and editors. In this essay, we propose our recommended conceptual architecture for creating journal management systems that include information systems. We believe these systems will be advantageous, saving time for editors and authors alike. [ABSTRACT FROM AUTHOR]

Several letters to the editor are presented in response to the articles in the previous issues including the "Hackers Spy Scientists," "Concomitant Infections Should not Deter Clinicians from Diagnosing Kawasaki Disease," and "Pediatric Multiple Sclerosis."

In recent years, scholarly publishing has been faced with many distractive phenomena. Generally, most researchers are unaware of fraudulent practices now common to scholarly publishing and are at risk of becoming a victim of them. Editors also need to have sufficient knowledge about these practices. There are papers that try to increase awareness of authors about fraud in scholarly publishing, but it seems that there is no good academic resource to direct editors. In this paper, we try to present a general guideline for increasing journal quality by discussing the emerging threats to scholarly publishing and methods to avoid being victimized. [ABSTRACT FROM AUTHOR]

The academic world today includes hijacked journals and predatory publishers that operate based on a ‘pay and publish’ model and function for financial reasons only. Here we present lesser known aspects and practices of these journals to researchers, showing the core of the problem. [ABSTRACT FROM AUTHOR]

Hijacked journals are cloned websites that resemble the homepages of legitimate journals, whose aim is to collect processing and publication fees from unwary authors. There is a growing recognition that the recent proliferation of these scam sites poses a threat to the integrity of the scientific process. This study presents an approach intended to prevent the indexing of papers published by hijacked journals in scientific databases by using classification algorithms. We will provide an overview of the problem, define key features of hijacked journals, and present a decision tree that can be used to detect hijacked publications. [ABSTRACT FROM PUBLISHER]

Predatory journals are a well-known issue for scholarly publishing and they are repositories for bogus research. In recent years, the number of predatory journals has risen and it is necessary to present a solution for this challenge. In this paper, we will discuss about a possible ranking of predatory journals. Our ranking approach is based on Beall's criteria for detection of predatory journals and it can help editors to improve their journals or convert their questionable journals to non-predatory ones. Moreover, our approach could help young editors to protect their journals against predatory practice. Finally, we present a case study to clarify our approach. [ABSTRACT FROM AUTHOR]

There has been a growing concern about fraud peer review articles that have been published in some journals in favor of their authors' affiliation, which have been discussed extensively by some researchers. This research paper introduces a new another challenge in academic world concerning journals' editors who look at authors' affiliations rather than papers' contents. In this short paper, we will introduce this alarming problem and do an experimental test by submitting computer generated papers to some journals and finally present the results of our experiment. The paper is an expression of our concern about providing for maximum high ethics in and quality of publication policy of modern scientific journals. [ABSTRACT FROM AUTHOR]