Reviewerly/exHarmony huggingface dataset:
The Concept of a New Neural Map for Clustering, Data Visualization and Prediction with Probability Distribution Approximation

The paper submits a proposition of a new data analysis tool (named PDCM – Probability Distribution generating and Clustering Maps) constructed in the form of an extended neural map and dedicated to a variety of tasks, such as specific clustering, visualization, prediction (together with its possible visual analysis and justification) and generation of approximated Bayesian a posteriori probability density distribution for dependent variable. Basic theoretical aspects concerning the structure and training process of the proposed model have been presented. Also, research involving application of the PDCM method for real estate market data (Boston dataset) has been shown together with promising research results and conclusions.
Blockchain Governance – A Systematic Literature Review

The blockchain technology offers the possibility to decentralize platforms besides a variety of other possibilities. This may even result in the absence of a central authority that defines its governance. Consequently, a special kind of governance can emerge that takes into account the specifics of this technology. While governance in various research areas, such as corporate or IT governance, has been studied for a long time, the study of blockchain governance has only recently begun. Nevertheless, research on blockchain governance is increasing in recent years and an appropriate way to structure it is needed. Hence, the goal of this study is to identify the current state of research on blockchain governance. For this purpose, a systematic literature review is conducted and as a result, 25 studies were identified which address blockchain governance. Moreover, an adapted version of the IT governance cube is introduced, which allowed to structure the concepts of blockchain governance. Furthermore, it allowed to identify research areas that have obtained little attention yet.
Designing an API for the Provision of Public Service Information Based on CPSV-AP

The provision of public services (PS) is at the heart of public authority operations as it directly affects citizens’ lives and the prosperity of society. Part of PS provision is publishing PS descriptions in online catalogues to inform citizens and promote transparency. The European Union has developed the Core Public Service Vocabulary Application Profile (CPSV-AP) as a PS data model to facilitate PS catalogue creation and promote semantic interoperability. The use of CPSV-AP is increasing within the European Union leading to a number of relevant PS descriptions that are also potentially beneficial for the implementation of the Single Digital Gateway (SDG) regulation. However, the use of heterogeneous, some times not very popular technologies (e.g. RDF) to provide access to such data hinders their further uniform exploitation. Towards this problem definition, Application Programming Interfaces (APIs) can provide a uniform, easily-consumable way of serving such data hiding any heterogeneity of the underlying technologies. The aim of this paper is to design and implement an API to serve data based on CPSV-AP facilitating the implementation of the SDG and the further exploitation of data at added value services and tools e.g. chatbots. The paper describes the requirements, use cases, design choices and implementation details of the API. We anticipate that the proposed API will help towards the further adoption of CPSV-AP by facilitating and homogenizing the consumption of relevant data.
Emotion estimation model for cognitive state analysis of learners in online education using deep learning

Abstract For Facial Expression Recognition, occlusion and position change that may drastically alter facial expressions are two important challenges (FER). Due to advances in automated FER over the last several decades, it has received less attention in the real world, where occlusion‐ and pose‐invariant aspects of FER are critical. Online education learners' cognitive states may be assessed using this paper's focus on real‐world stance and occlusion robust FER. The human visual system's attention mechanism inspired us to develop a new kind of spatial attention network (SAN‐CNN). Saliency characteristics and spatial importance between adjacent pixels are emphasized in the SAN‐CNN model. Preprocessing an input picture using a median contour filter is used here initially, followed by mask‐based ROI for segmentation. Using CNNs for facial recognition, landmark localization, and head position estimation based on spatial attention networks, it is possible to do emotional categorization. Using the Kaggle public video‐based facial expression datasets, we were able to demonstrate that our proposed approach is more accurate and faster than the usual techniques. In addition, we evaluated the suggested method's performance metrics with those of the already used approaches. FER with occlusion and variant posture performs better than standard approaches using our suggested method, as shown by the results of the experiments.
An Artificial Intelligence Algorithm to Optimize the Classification of the Hepatitis Type

Hepatitis is one of the diseases that has become more developed in recent years in terms of the high number of infections. Hepatitis causes inflammation that destroys liver cells, and it occurs as a result of viruses, bacteria, blood transfusions, and others. There are five types of hepatitis viruses, which are (A, B, C, D, E) according to their severity. The disease varies by type. Accurate and early diagnosis is the best way to prevent disease, as it allows infected people to take preventive steps so that they do not transmit the difference to other people, and diagnosis using artificial intelligence gives an accurate and rapid diagnostic result. Where the analytical method of the data relied on the radial basis network to diagnose the disease, in addition to using the classification of the regression tree as well as the use of the genetic algorithm to improve the classification accuracy of both methods and by comparing the methods used to find out the most efficient methods of classification through criteria. Classification error, mean square root error, and average absolute relative error, and concluded that the experimental results are that the methods are good in terms of classification, as they gave results with less classification of error, and that the radial basis network was superior to the classification regression tree, and that the addition of the genetic algorithm led to an improvement classification accuracy.&#x0D; Paper type: Research paper.
Effectiveness of mobile based SMS in transfer of agricultural technology

Effective communication strategy is need of the hour to enable research results to reach the farmers fields without much time lag. Hence, it is obvious to use modern ways of communication besides traditional methods of communication. KVK, Amadalavalasa has started sending mobile based SMS through WAY 2 SMS to the KVK registered farmers to transfer of agricultural technology since June 2010. Here study was conducted with the objective of studying the effectiveness of mobile based SMS in transfer of agricultural technology. Efforts should be made to disseminate complete and precise information on all aspects of crop and related information for harnessing the possibilities of utilizing the information, The mobile service authorities need to take extra care to streamline the system so as to prepare relevant content for maximum utility by the end users. Hence more concentration should be given on demand and need of the farmer rather than the technology. Leaders are needed for the long haul as interventions that require new infrastructure or policy and institutional reforms take years to complete. Real time agro advisory is need of the hour to cover more number of farmers. Voice messages may be preferable than text messages for covering illiterate farmers. KVKs and other extension functionaries can make new platforms to reach the unreach through mobile advisory.
Information Economics and Free Speech

This Article seeks to bridge free speech jurisprudence and information economics in an effort to provide a novel view into mechanisms to tackle misinformation. Bridging these schools of thought offers two steps forward. The first step reexamines the deontological free speech path that has led fake news to flourish in order to chart a different utilitarian path where individual integrity might flourish. Free speech jurisprudence has long been critiqued for its lack of a unifying theory. Bridging Mill’s libertarianism and information economics supports a right of expression, a capability, manifest in decision change. Succinctly, it is the right of any individual to influence or change decisions that affect them. To highlight its efficacy, the Article then applies the decision change test to seminal cases – Alvarez, N.Y. Times v. Sullivan, Brandenburg – to show it exhibits fewer false positives and fewer false negatives that tests of categories, truth, imminence, or intent. The second step uses the proposed decision change test as a lens to show how current free speech jurisprudence resembles historical antitrust jurisprudence. The paradox of antitrust before 1978 was that those legal decisions, intended to protect consumers and free markets, artificially raised prices by protecting inefficient firms from consequences of competition. Free speech rulings vigorously protect speakers on the basis of enabling a free market of ideas. Overzealous protection of those promoting false facts, however, prevents the market from clearing itself by denying falsehoods competition with truths. No government intervention is required. Rather, it simply needs to step aside in such cases as WASHLITE v. Fox News, where numerous false stories that covid is no worse than flu and that vaccines do not work have been causally implicated in thousands of unnecessary deaths. The free speech paradox is that legal decisions intended to protect citizens and free idea markets have achieved the opposite, artificially raising harms and cluttering the market with false facts.
EduCert – Blockchain-Based Management Information System for Issuing and Validating Academic Certificates

The forgery of academic certificates is a global concern, being one of the best-known examples the case of fake doctors. This counterfeiting is facilitated because the validation of these certificates by the employers is, in most cases, through visual inspection of the certificates which, by itself, does not guarantee their veracity. In this sense, this work proposes a new certification approach based on blockchain technology that allows anyone to validate an academic certificate by placing the hash or the pdf of the academic certificate in a web application that performs this validation in a public blockchain network, without the need to authenticate.
Virtual Immersive Workplaces: The New Norm? – A Qualitative Study on the Impact of VR in the Workplace

Since the 1970s, telecommuting has generated significant interest among scholars and practitioners alike. However, the topic of flexible working arrangements has never been more relevant than lately, in the face of COVID-19 pandemic. As digital technologies evolve different aspects of today’s world, immersive workplaces enabled by technologies such as virtual reality (VR) become more appealing. Therefore, the main objective of this paper is to study the phenomenon of virtual immersive workspaces and the generated impact in the organizations. Conducting semi-structured expert interviews, this study provides insights to better understand the trends driving subsequent immersive technologies, fostering competitive advantages in the web3 era, but also relevant roadblocks organizations face in this context. Our results identify the key benefits, as well as the limitations pertaining to the implementation of VR in the workplace. Moreover, our findings address the importance of purposefully designing a toolset for telecommuters to inspire further debates on the future of work for academia and in practice.
Domain and Semantic Modeling in the Context of Interactive Systems Development: User and Device Cases

The development of interactive systems requires tools and knowledge from a number of domains. The combination of Software Engineering with Human Factors aspects assists designers and engineers in designing error free, safe systems for humans’ operators. This paper explores the use of multidimensional knowledge representation as means to narrow the gap between design and implementation of interactive systems. Two models are discussed for delivering heavyweight ontologies, by the means of Ontology–Driven Development. This might enable the development of software artifacts, with potential of improving system specification, information sharing and reusability. The theoretical approach is discussed; a literature revision in the topic is included, along with taxonomy enabling the description of user and device’s characteristics. Finally, the ontological development is presented and as well as analyzed.
The Digital Operational Resilience Act for Financial Services: A Comparative Gap Analysis and Literature Review

Regulatory bodies, driven by enhanced speed of digital transformations, seek to strengthen the resilience of information and communication technologies (ICT) to ensure their operational integrity. As a result, The Digital Operational Resilience Act (DORA) was recently proposed to unify and enhance ICT risk management of financial institutions by recommending stricter rules. ICT risk management has to date been mainly governed by ISO 27001:2013 standard in the context of information security governance. Based on qualitative content analysis, we firstly mapped ISO 27001:2013 to DORA and identified nine gaps in ISO 27001:2013 in relation to six general DORA requirements. While we find sufficient support in academic literature for six of the nine extensions suggested by DORA, three areas seem less supported: Threat-led penetration testing, major incident management, and ICT third-party risk management. We argue that these topics should serve academic interest to further our understanding of digital operational resilience in theory and practice.
“i’ll wait 4 ur answr!” A Study on Modern Style of Cyber-Writing and User Reactions

The present era of technology brought a new phenomenon in text messaging and writing in the cyber world with a “modern style” that breaks the rules of conventional written language and offers self-created symbols of expression. Previous research has investigated the effects on the literacy attainment of children and even adults. This study is distinct from previous studies in that it explored the effects of the modern style of texting on feelings and reactions of foreigners of different ages in South Korea who well possess English language skills and the differences between users and non-users of the modern style. The findings of this study demonstrate that younger and older people have significantly different feelings and reactions about the new style. When younger people receive a modern message, they feel happy and comfortable, while older people feel a little angry and confused by abbreviations and emoticons. Users and non-users of the modern style differ in feelings and reactions, as well. Users feel happy and fine when they receive a message in the modern style from people even younger than they are, while non-users do not feel happy, but rather they feel a little angry and bad when they receive a message in the modern style from people who are younger than they are. These findings are worth considering for all users when communicating with people at work and outside work through computer-mediated communication (CMC) tools; for education institutions when teaching virtual behavior; and for researchers when developing deeper research on this issue.
Application Fuzzy Neural Network Methods to Detect Cryptoattacks on Financial Information Systems Based on Blockchain Technology

In this article, an intelligent method for identifying possible threats to other information systems based on blockchain technology has been developed. This intelligent method is built on the basis of the theory of fuzzy neural network and uses a database trained to detect cryptoattacks on information systems. The system performs complex calculation and decision-making process by studying the given data. Verifies the authenticity of blockchain blocks and transactions. Forms a risk database of the general information system and applies security measures accordingly. In addition, the article presents the risks to financial information systems and their types, models for identifying risks to information security. A fuzzy neural network-based method for determining possible risks has been developed. The results were obtained by implementing the Matlab package program. In the conclusion of the study, the safety and economic efficiency of this method has been proven.
Numerical Simulation of a Flow in a Two-Dimensional Channel on the Basis of a Two-Liquid Turbulence Model

The article presents the results of a numerical study of the flow structure in a two-dimensional channel at high Reynolds numbers. A feature of such flows is that the flow is turbulent. It is known that many turbulence models are based on the solution of systems of Navier-Stokes equations averaged over Reynolds. Such models are called RANS models. These models are based on the Boussinesq hypothesis, where turbulent stresses are assumed to be proportional to the strain rate of the averaged velocities. In addition, a hypothesis is made that turbulence is isotropic. However, studies of the turbulent flow structure have shown that turbulence is anisotropic. Therefore, to calculate anisotropic turbulent flows, models are used that do not use the Boussinesq hypothesis. One of such directions in turbulence modeling is Reynolds stress methods. These methods are complex and require rather large computational resources. Recently, another model of turbulence has been developed, which is based on a two-fluid approach. The essence of this approach is that a turbulent flow is represented as a heterogeneous mixture of two fluids that perform relative motion. In contrast to the Reynolds approach, the two-fluid approach makes it possible to obtain a closed system of turbulence equations using two-fluid dynamics. Therefore, while empirical equations are used for closure in RANS models, in the two-fluid model the equations used are exact equations of dynamics. One of the main advantages of the two-fluid model is that it is able to describe complex anisotropic turbulent flows. Therefore, in this paper, we used the two-fluid turbulence model for testing and the Reynolds stress method for comparison. In this work, numerical results are obtained for the longitudinal velocity profiles, turbulent stresses, as well as the coefficient of friction in a flat channel. The results are compared with known experimental data. In addition, the paper also presents the numerical results of the Reynolds stress method EARSM-WJ. The results are obtained for Reynolds numbers Re = 5600, Re = 13700 and Re = 13750.
Method Authentication of Objects Information Communication

In this article, the issue of authentication of objects of information and communication systems based on mutual authentication, models of authentication of users of information and communication systems, the use a five-level authentication model in the control of access to computer systems, the use of blockchain technology in solving the problem of identification and authentication basics, working principle of Blockstack and uPort authentication protocols based on Blockchain technology, advantages and disadvantages of Blockstack, uPort authentication protocols are analyzed. In the given thesis questions of the authentication of objects of information-communication systems on the basis of mutual authenticate are considered. Also, the article considers the results obtained on the development of a model and algorithm for protecting an information system using two-factor authentication based on the generation of a one-time password. The proposed mathematical model of the information security system for user authentication based on the generation of a one-time password is described.
The impact of digital technologies in nursing care and their application: A narrative review

Background and aims: Digital technologies promise great opportunities to overcome current challenges in the care sector. Examples include the growing presence of robotic systems and society’s reliance on mobile, the internet, and social media. Despite substantial advances, challenges in the nursing use of digital technology persist. A lack of good empirical reviews of current technologies in the literature prompted us to conduct this review. Methods: This study was conducted using a narrative review method. We reviewed studies published from 2010 to 2022. Data were collected by searching different English and Persian databases, namely, Google Scholar, Elsevier, PubMed, ProQuest, and Scientific Information D atabase (SID). Search terms were "digital technology," "social media," "monitoring technologies," "eHealth services," "nursing care," "digital technology application," and "innovative technology." Results: Evidence shows that digital technology in the field of nursing care is classified into three types (types of digital technology in nursing, advantages and disadvantages of digital technology, and challenges and attitudes of nurses in the use of digital technology in nursing care). Each dimension was examined separately. This study uses digital technology in nursing care: Information and communication technology (ICT), ambient assisted living, assistive devices, monitoring/sensors, robotic technology, and virtual reality. Conclusion: Despite substantial advances, digital technology challenges persist in nursing use. Nurses must catch up with rapid changes in digital technologies and their impact on society, limiting their potential benefits to nursing practice and patient care. To respond to these challenges and prepare for the future, nursing must begin the immediate transformation into a digitally enabled profession that can respond to the complex global challenges facing health systems and society.
IMPLEMENTATION OF INTERDISCIPLINARY APPROACH IN THE PROCESS OF HIGHER EDUCATION DIGITAL TRANSFORMATION

The article deals with the problem of information and methodological support of the educational process in universities in the context of the digital transformation of higher education. An analysis of scientific publications on the topic of the article showed that this process can be activated by applying an interdisciplinary approach. It can be implemented by creating interdepartmental research teams at universities, the main participants of which will be future IT specialists and their leaders from among the leading teachers of IT departments. As part of the activities of these teams, digital educational resources will be developed by order of university departments and other departments of the university. At the same time, IT developers of educational resources will increase their skills in the field of creating various kinds of software. As a result of the activities of such teams, the digital educational environment of the university will be replenished with up-to-date digital educational resources and their methodological support.