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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]

There are many misleading scientific metrics that are not known to the scientific community, particularly novice researchers. There is limited research in the area of misleading metrics, particularly related to business journals. Therefore, this research aims to examine the use of misleading metrics by business journals, the most popular misleading metrics, and countries contributing to the website traffic for such metrics. We used Scimago ranking for business journals and examined the website of each for the use of misleading metrics. Further, we used a domain-based approach by gathering data from Search Engine Optimization websites (i.e., Alexa and Ubersuggest). Only a few Scopus-indexed, low-quality business journals used misleading metrics on their website. The most common misleading metrics were International Scientific Institute, Open Academic Journals Index, CiteFactor, IndexCopernicus, and International Scientific Indexing. In addition, Indian authors were the most frequent visitors of the websites of misleading metrics. [ABSTRACT FROM AUTHOR]

In the article the authors present ten bad reasons researchers prefer to publish their papers in hijacked journals, which according to Iranian editor Dr. Mehrdad Jalalian are fake websites that mimic authentic journals to attract submissions. Topics include lack of advanced information technology knowledge, claim of being indexed in scientific databases and an email inbox full of spam invitation to publish, present and join esteemed journal editorial boards.

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]

Purpose: In this paper, experimental and numerical results of a lambda wing have been compared. The purpose of this paper is to study the behaviour of lambda wings using a CFD tool and to consider different numerical models to obtain the most accurate results. As far as the consideration of numerical methods is concerned, the main focus is on the evaluation of computational methods for an accurate prediction of contingent leading edge vortices' path and the flow separation occurring because of the burst of these vortices on the wing. Design/methodology/approach: Experimental tests are performed in a closed-circuit wind tunnel at the Reynolds number of 6 × 105 and angles of attack (AOA) ranging from 0 to 10 degrees. Investigated turbulence models in this study are Reynolds Averaged Navior–Stokes (RANS) models in a steady state. To compare the accuracy of the turbulence models with respect to experimental results, sensitivity study of these models has been plotted in bar charts. Findings: The results illustrate that the leading edge vortex on this lambda wing is unstable and disappears soon. The effect of this disappearance is obvious by an increase in local drag coefficient in the junction of inner and outer wings. Streamlines on the upper surface of the wing show that at AOA higher than 8 degrees, the absence of an intense leading edge vortex leads to a local flow separation on the outer wing and a reverse in the flow. Research limitations/implications: Results obtained from the behaviour study of transition (TSS) turbulence model are more compatible with experimental findings. This model predicts the drag coefficient of the wing with the highest accuracy. Of all considered turbulence models, the Spalart model was not able to accurately predict the non-linearity of drag and pitching moment coefficients. Except for the TSS turbulence model, all other models are unable to predict the aerodynamic coefficients corresponding to AOA higher than 10 degrees. Practical implications: The presented results in this paper include lift, drag and pitching moment coefficients in various AOA and also the distribution of aerodynamic coefficients along the span. Originality/value: The presented results include lift, drag and pitching moment coefficients in various AOA and also aerodynamic coefficients distribution along the span. [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]

In this paper, acoustic power radiation of a submerged finite length ribbed cylinder subject to a harmonic point load is minimized by a new fast scheme. For this purpose, two arrangements of non-uniformly distributed sequential point masses and mass springs attached on stiffening ribs of the cylinder are used to optimally reduce the acoustic power radiation. A fully coupled analysis is here carried out based on Finite/Boundary element (FEM/BEM) model. Instead of direct BEM formulation, two beneficial procedures have been proposed for computing BEM matrices in each frequency line. In order to fast solving of equations, the Krylov vectors (produced via Ritz or Arnoldi iterative procedures) and structural mode shapes (modal truncation approach) have been used and validated before performing optimization. As a result, the best strategy for evaluation of response and cost function is using Taylor series expansion for computing BEM matrices and applying Krylov vectors for order reduction. The results show good agreement with previous studies and experiments. The optimization results show noticeable reductions in the acoustic power radiation. In point mass optimization, the most of additional masses has been placed in regions which are near to the excitation point whereas for the absorber design, they are put in the places in opposite side of the excitation point. [ABSTRACT FROM AUTHOR]

Peer review is the most important aspect of reputable journals. Without it, we would be unsure about whether the material published was as valid and reliable as is possible. However, with the advent of the Internet, scientific literature has now become subject to a relatively new phenomenon: fake peer reviews. Some dishonest researchers have been manipulating the peer review process to publish what are often inferior papers. There are even papers that explain how to do it. This paper discusses one of those methods and how editors can defeat it by using a special review ID. This method is easy to understand and can be added to current peer review systems easily. [ABSTRACT FROM AUTHOR]

In this opinion piece, we present a synopsis of our findings from the last 2 years concerning cyber-attacks on web-based academia. We also present some of problems that we have faced and try to resolve any misunderstandings about our work. We are academic information security specialists, not hackers. Finally, we present a brief overview of our methods for detecting cyber fraud in an attempt to present general guidelines for researchers who would like to continue our work. We believe that our work is necessary for protecting the integrity of scholarly publishing against emerging cybercrime. [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]

Nowadays, web-based applications extend to all businesses due to their advantages and easy usability. The most important issue in web-based applications is security. Due to their advantages, most academic journals are now using these applications, with papers being submitted and published through their websites. As these websites are resources for knowledge, information security is primary for maintaining their integrity. In this opinion piece, we point out vulnerabilities in certain websites and introduce the potential for future threats. We intend to present how some journals are vulnerable and what will happen if a journal can be infected by attackers. This opinion is not a technical manual in information security, it is a short inspection that we did to improve the security of academic journals. [ABSTRACT FROM AUTHOR]

The current status of academic publishing is worrying. Cybercriminals are now targeting academic audiences, making it necessary to inform both editors and authors about such issues. The latest involves bogus impact factors, which are challenging scholarly publishing. Legitimate impact factors are used by authors and editors to get a general idea of the audience, if any, for a particular piece or journal. The bogus metrics only add confusion in support of the cybercrimes of their initiators. In this paper, we discuss bogus impact factors, victim countries, and try to clarify the phenomena for both authors and editors. [ABSTRACT FROM AUTHOR]

At the moment, scholarly publishing is faced with much academic misconduct and threats such as predatory journals, hijacked journals, phishing, and other scams. In response, we have been discussing this misconduct and trying to increase the awareness of researchers, but it seems that there is a lack of research that presents guidelines for editors to help them protect themselves against these threats. It seems that information security is missing in some parts of scholarly publishing that particularly involves medical journals. In this paper, we explain different types of cyber-attacks that especially threaten editors and academic journals. We then explain the details involved in each type of attack. Finally, we present general guidelines for detection and prevention of the attacks. In some cases, we use small experiments to show that our claim is true. Finally, we conclude the paper with a prioritization of these attacks. [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]

Day by day, researchers receive new suspicious e-mails in their inboxes. Many of them do not have sufficient information about these types of e-mails, and may become victims of cyber-attacks. In this short communication, we review current cyber threats in academic publishing and try to present general guidelines for authors. [ABSTRACT FROM AUTHOR]

The authors discuss the integrity threats of the expanding open access (OA) movement. Topics include the predatory open access journals (POAJs), the publishing threats of hijacked journals and journal phishing, and the ethical implications of hijacked journals. Several charts are also presented which show the similarities and differences between phishing and hijacking, the hijacked journals from Google page ranking, and the metrics for citation level assessment of journals and researchers.

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]

The authors reflect on issues confronting the scholarly publishing sector as of May 2016, particularly the cases of questionable practices that mainly affect young researchers. They explain why a discipline on scientific information security should be established to focus on probing cybercrimes and attacks on information science. Also cited are the four major aspects of information security, namely, data, content, device, and behavioral security.

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]

Nowadays, the most important risk and challenge in online system are online scam and phishing attacks. Phishing attacks have been always used to steal important information of users. In this kind of scam, attacker direct victim to fake pages using social engineering techniques, then, starts stealing users important information such as passwords. In order to confronting these attacks, numerous techniques have been invented which have the ability to confront different kinds of these attacks. Our goal in this paper is to introducing new kind of phishing attacks which are not identifiable by techniques and methods which have been invented to confronting phishing attacks. Unlike other kinds of phishing attacks which target all kinds of users, researchers are the victims of these kinds of journal phishing attacks. Finally, we'll introduce an approach based on classification algorithms to identify these kind of journal phishing attacks and then we'll check our suggested approach in error rate. [ABSTRACT FROM AUTHOR]

The article reflects on the types of fraud in the academic world by cyber criminals guidelines to prevent cybercrimes. It mentions an increase in prevalence of hijacked journals; use of a content management system by hijackers to create the website. It also highlights several editorials that expose specific hijacked journals with evidence of their fraud.

Information about the journal is presented, including rules on plagiarism, forced joint authorship and article sale.

The article discusses the topic of predatory journals and their publication criteria, stating that such journals requires enough resources of research to support its aid and deep observation of the predatory practices in medical journals through open access publishing system.

Invalid journals are recent challenges in the academic world and many researchers are unacquainted with the phenomenon. The number of victims appears to be accelerating. Researchers might be suspicious of predatory journals because they have unfamiliar names, but hijacked journals are imitations of well-known, reputable journals whose websites have been hijacked. Hijacked journals issue calls for papers via generally laudatory emails that delude researchers into paying exorbitant page charges for publication in a nonexistent journal. This paper presents a method for detecting hijacked journals by using a classification algorithm. The number of published articles exposing hijacked journals is limited and most of them use simple techniques that are limited to specific journals. Hence we needed to amass Internet addresses and pertinent data for analyzing this type of attack. We inspected the websites of 104 scientific journals by using a classification algorithm that used criteria common to reputable journals. We then prepared a decision tree that we used to test five journals we knew were authentic and five we knew were hijacked. [ABSTRACT FROM AUTHOR]