Reviewerly/exHarmony huggingface dataset:
University Culture: A quali-quantitative study on the emotional representations of online learning by psychology university students

The pandemic of covid-19 has led to the conversion from face-to-face to online learning in almost every university in the world. Online learning was perceived by stu-dents as an opportunity and an impediment to the learning process and an obstacle for social contact. The main aim of this research was to explore the representations of dis-tance learning by university students. We collected 127 interviews from university stu-dents and used the paradigm of Emotional Text Mining (EMT) for their analysis. Three factors (Learning Process, University Life, Blended learning) and four clusters (Being in a Relationship, Online learning, Missed Rituality, Process of Adapting) were identified. The factors highlight an unconscious defence mechanism which "separates" the reality of online learning (without relationships) from the reality of the face-to-face learning (with relationships). The clusters show how university students represent online learning as useful at a practical level, but as an obstacle to social contact and a sense of belonging to the university culture. In addition, the interpretation of the clusters reveals an imma-ture process of adaptation of students to the post-pandemic reality. All these findings highlight face-to-face learning as a place for interaction and social sharing and necessary to feel integrated in university culture.
Problems in Conducting Multivariate Logistic Regression Analysis

We read with great interest the original article “The Relationship Between Procalcitonin Level and Short Term Mortality in Emergency Department” by Cehreli et al. (1). A high initial level of procalcitonin (PCT) is a sensitive marker of bacterial infection, and the degree of PCT elevation can determine which patients are at greater risk of adverse outcomes. In this study, the authors wanted to analyse whether there was an association between PCT levels and seven-day mortality in patients whom PCT levels were measured in the emergency department. However, we think that there are some serious methodological mistakes.
Databases in the investigation of household armed robberies: Challenges and ways of improvement

Amidst the full-scale war in Ukraine, an increase in the number of crimes against property involving weapons, characterised by suddenness, brutality, and aggressiveness, has occurred. Such crimes violate not only the inviolability of housing and property rights but also harm the health and lives of victims. In this regard, the study aims to examine the possibilities of using automated information retrieval systems of the Ministry of Internal Affairs and the National Police of Ukraine in the investigation of robberies involving the use of weapons. The following methods were used in the course of the study: comparative legal, analytical, systemic, and structural, generalisation, induction, deduction, and synthesis. These methods were used to analyse the world experience of databases of automated information retrieval systems to improve the investigation of robberies involving the use of weapons against citizensʼ homes. Based on this, the most progressive and effective methods of investigating this category of criminal offences are identified, proposals for improving national practice are formulated, and an indicative set of parameters for typical actions during such robberies is developed. The author proposes to improve information and analytical systems by filling in new databases of serious crimes committed with the use of weapons, which will facilitate ease of use and efficiency of their investigation. The development of such a database provides for the possibility of updating and collecting information based on specified requests. The content parameters are determined by the ability to collect information on criminals, the forensic traces that identify them, behavioural traces (use of a type or types of weapons, home invasion tools, nature of bodily harm, features of disguise, etc. The practical value of the study lies in the possibility of considering theoretical recommendations when creating databases that will ensure the completeness, efficiency and convenience of obtaining the necessary information for the effective investigation of robberies involving the use of weapons
Cross-lingual entity alignment method based on attribute weight updating network

Due to the large number of attributes and the low repetition rate in a cross-lingual knowledge graph, it is difficult for an alignment task to embed attribute information efficiently. To solve the problem, an entity alignment model based on attribute weight updating network was proposed. Firstly, in order to embed attribute information efficiently, attribute embedding is approximately constructed with entity embedding through a constructor, thus avoiding their separate training. Secondly, based on the fact that different attributes make different contributions to entity alignment, an attribute weight updating module based on graph attention network was proposed to update the weight of each attribute through using attention scores in the process of training. Finally, attribute embedding and attribute weight information were aggregated into entity embedding with an attribute aggregation module to strengthen the representation of entity embedding and improve the entity alignment performance. The experimental results show that the proposed model achieves 0.751, 0.805 and 0.915 scores respectively from the Hits@1 score in three cross-lingual datasets. Its alignment performance is better than that of the current mainstream entity alignment method.
Unsupervised 3D reconstruction method based on multi-view propagation

In this paper, an end-to-end deep learning framework for reconstructing 3D models by computing depth maps from multiple views is proposed. An unsupervised 3D reconstruction method based on multi-view propagation is introduced, which addresses the issues of large GPU memory consumption caused by most current research methods using 3D convolution for 3D cost volume regularization and regression to obtain the initial depth map, as well as the difficulty in obtaining true depth values in supervised methods due to device limitations. The method is inspired by the Patchmatch algorithm, and the depth is divided into n layers within the depth range to obtain depth hypotheses through multi-view propagation. What's more, a multi-metric loss function is constructed based on luminosity consistency, structural similarity, and depth smoothness between multiple views to serve as a supervisory signal for learning depth predictions in the network. The experimental results show our proposed method has a very competitive performance and generalization on the DTU, Tanks &amp; Temples and our self-made dataset; Specifically, it is at least 1.7 times faster and requires more than 75% less memory than the method that utilizes 3D cost volume regularization.
Pedagogical support of educational work with the modern family as a means of forming spiritual and moral values of the children

The article is devoted to the consideration of issues of educational work with parents and its importance in the formation of value orientations and morality in modern children. In the context of studying the scientific literature of Russian scientists, the author concludes that this problem is relevant and requires further research. The highlighted methodological approaches – systemic, axiological, and familistic - contribute to the disclosure of the scientific nature of the research. The purpose of the study is to identify the importance of pedagogical support for educational work with the family in the context of the formation of moral values of children at the present stage of development of Russian society and the state. The author's understanding of the essence of the definition of "pedagogical enlightenment" is revealed, its essence and significance in the upbringing of spiritual and moral values of modern children are determined. The article highlights the pedagogical features of pedagogical education, manifested at different stages of family development in matters of education: educational (propaedeutic) work with future parents to educate children the moral values, educational pedagogical work with parents raising children of preschool, junior, middle and senior school age. Traditional and innovative forms of educational work in different periods of child development in the family are proposed. The difficulties of educational work with the family are highlighted, consisting in the slow process of developing parental literacy and competence, in the absence of uniform rules for raising children in the family, in the absence of clear mechanisms for interaction between parents and social institutions, in the search for effective forms of cooperation, in the absence of a single model of educational work with the family, in insufficient pedagogical education of parents in the mass media. The material under study allows us to conclude that educational and educational work will be successful if all social institutions are engaged in this activity, which will increase the pedagogical activity of parents, raise the status of family and parenthood, as well as the competence of teachers in organizing educational activities with the family and the development of spiritual and moral values of children.
Recent Developments of Semantic Web

Sharing data and facts rather than the content of a website is what the semantic web is all about. Sir Tim Berners-Lee proposed the semantic web concept in 2001. The semantic web assists in the development of a technological stack that supports a “web of data” rather of a “web of documents.” The ultimate goal of the web of data is to provide computers the ability to do more meaningful jobs and to create systems that can enable trustworthy network connections. Different data interchange formats (e.g. Turtle, RDF/XML, N3, NTriples), query languages (SPARQL, DL query), ontologies, and notations (e.g. RDF Schema and Web Ontology Language (OWL)) are all used in semantic web technologies (SWTs) to provide a formal description of entities and correspondences within a given knowledge domain. These technologies are useful in accomplishing the semantic web's ultimate goal. Linked data is at the core of the semantic web since it allows for large-scale data integration and reasoning. SPARQL, RDF, OWL, and SKOS are among the technologies that have made linked data more powerful; however, there are many difficulties that have been detailed in different publications.
SISA En-Decryption Algorithm for Multilingual Data Privacy and Security in IoT

Because of worldwide integration, multilingual databases and document transfers are quite widespread, which raises the requirement for data security against hackers. Without regard to Unicode, the suggested SISA En-De-Cryption (SEDC) method is capable of encrypting any language. The multilingual data and documents in the devices are secured using the proposed SEDC method in this work. Because the proposed SEDC technique has no size or language restrictions on the key, it is substantially more secure than current encryption algorithms in the literature. The brute force attack is also decreased by this SEDC trait. The SEDC algorithm's design is so straightforward that it may be created in any computer language. The suggested SEDC algorithm may also be fused with several other technologies like cloud-based web applications, IoT, block chain etc. and can be utilized for data security in multiple areas like healthcare, smart agriculture and mobile communication etc. When compared to other existing algorithms, the suggested SEDC method performs better.
Privacy-Preserving Machine Learning Techniques for IoT Data in Cloud Environments

The proliferation of internet of things (IoT) devices has resulted in an unprecedented influx of data, leading to heightened concerns regarding the privacy and security of sensitive information in cloud environments. Privacy-preserving machine learning techniques have emerged as essential tools for ensuring the confidentiality of IoT data while facilitating meaningful analysis. This chapter provides an overview of the key principles and methodologies employed in privacy-preserving machine learning for IoT data in cloud environments. Key considerations encompass data anonymization, secure transmission, and adherence to stringent data protection regulations such as the General Data Protection Regulation (GDPR). Robust encryption and access control mechanisms are implemented to safeguard data integrity while allowing for effective analysis. Techniques like homomorphic encryption and secure multi-party computation enable secure computations on encrypted data, ensuring privacy while maintaining the utility of the data.
Landscape of Serverless Computing Technology and IoT Tools in the IT Sectors

This chapter delves into the challenges of securing sensitive data and systems in the digital landscape, focusing on serverless computing, IoT, and authentication protocols. It discusses best practices for implementing security measures in serverless architectures, including encryption, access control, and monitoring. The rise of IoT devices has revolutionized industries by enabling real-time data collection and analysis, but also presents a significant cyber threat surface. To secure IoT ecosystems, strategies include device authentication, encryption, and intrusion detection systems. Authentication protocols like multi-factor authentication, biometrics, and blockchain-based solutions are crucial. Understanding serverless computing, IoT security, and authentication protocols is essential for businesses to proactively address security gaps and safeguard assets in an evolving threat landscape.
Transfer learning of pre-trained CNNs on digital transaction fraud detection

This article proposes an artificial intelligence-empowered and efficient detection approach for customers with Severe Failure in Digital Transactions (SFDT) through a deep transfer network learning approach from discretized fraud data. Presently, the Real-time global payment system is suffered primarily by fraudsters based on customer behavior. For the identification of fraud, scientists used many techniques. However, identifying and tracking the customers infected by the fraud takes a significant amount of time. The proposed study employs pre-trained convolution neural network-based (CNN) architectures to find SFDT. CNN is pre-trained on the various network architectures using fraud data. This article contributed to pre-trained networks with newly developed versions ResNet152, DenseNet201, InceptionNetV4, and EfficientNetB7 by integrating the loss function to minimize the error. We run numerous experiments on large data set of credit payment transactions which are public in nature, to determine the high rate of SFDT with our model by comparing accuracy with other fraud detection methods and also proved best in evaluating minimum loss cost.
Analisis Kualitas Layanan Website SMA Terhadap Kepuasan Siswa Menggunakan Metode Webqual 4.0

The problem with the Xaverius 1 City High School website in Jambi is that there are several shortcomings, namely information that is not updated, the web often experiences bugs or errors when accessing available features, loading takes too long, the web appearance is too old-fashioned and does not have clear instructions. The purpose of this study was to analyze the service quality of the Xaverius 1 High School website in Jambi City by applying the webqual 4.0 method and to determine the effect of research variables on website user satisfaction. research that has been carried out using the webqual 4.0 method where there are 3 independent variables (quality of use, quality of information, quality of interaction) and one dependent variable (user satisfaction) and in this study adopted one additional variable from the EUCS method, namely content. This study is a multiple linear regression which produces two hypotheses accepted while 3 hypotheses are rejected. The rejected hypotheses include H1 (quality of use), H2 (quality of information) and H3 (quality of interaction) on user satisfaction, while the accepted hypothesis is H4 (content) there is a relationship with user satisfaction, and H5 regarding all variables influencing user satisfaction. In this study, the researchers suggested to SMA Xaverius 1 Jambi City to improve the website in terms of usability quality, information quality and interaction quality on the website. Which can be seen in the research results of the three qualities have no effect on user satisfaction.
MEDIATION AS A CONFLICT RESOLUTION TECHNOLOGY

Abstract. Todayʼs society is characterized by conflict as a permanent feature of a person, determined by both natural inclinations and social experience, and represents a threat to society. The article analyzes the conflict as a result of the struggle for status, attention, leadership, when the causes are intolerance, enmity, mistrust, inadequate expression of emotions, etc. The article also highlightssubstantive foundations of mediation technologies in conflict resolution, clarifiesthe role and functions of the mediator for the formation of skills in conflict resolution, and outlinesthe structure of the mediation procedure to ensure the partiesʼ communicative readiness for objective reasoning and making the right decisions for conflict resolution.
The Study of Cardiology Through an Augmented Reality-Based System

This chapter presents an augmented reality project applied to the study of cardiology, which is crystallized through a system known as service-oriented architecture (SOA). This system serves as an innovative and efficient learning platform for students interested in cardiology because it helps them to understand abstract concepts in cardiology, which require visual and manipulable objects that are difficult to obtain, due to the large space they occupy in magnetic media or because of the difficulty of obtaining their models in physical form. This system strengthened the process of anatomical identification of the human heart and allowed a better interaction with the student, i.e., the system enhanced the use of sight, hearing, and kinesthetic, which, together, allowed a better assimilation of knowledge. The effectiveness of this system was validated using a survey of 389 students from four public universities where the following aspects were verified: 1) Significant learning; 2) Motivation; 3) Ease of use, and; 4) Performance.
Integration of Biomedical Engineering in Augmented Reality and Virtual Reality Applications

This book chapter delves into the profound synergy between Biomedical Engineering and the burgeoning realm of augmented reality (AR) and virtual reality (VR) applications. Through a meticulous examination of state-of-the-art advancements and a forward-looking analysis of future prospects, this chapter endeavors to offer a comprehensive resource for a diverse audience, including dedicated researchers, seasoned healthcare practitioners, discerning educators, and aspiring students. The integration of these technologies has the potential to revolutionize medical training, patient education, surgical planning, and therapy delivery, ushering in an era of more personalized and effective healthcare solutions. This chapter serves as a guiding beacon in navigating this transformative landscape, ensuring that the adoption of AR/VR technologies is not only innovative but also ethically grounded and attuned to the highest standards of patient care.
Implementasi Peraturan Kepala Perpustakaan Nasional RI Nomor 13 Tahun 2017 tentang Standar Nasional Perpustakaan Perguruan Tinggi di UPT Perpustakaan Universitas Bung Hatta

This study aims to describe the following. (1) implementation of collection standards at Bung Hatta University Library (2) implementation of facilities and infrastructure standards at Bung Hatta University Library (3) implementation of service standards at Bung Hatta University Library (4) implementation of library promotion standards at Bung Hatta University Library (5) implementation of library staff standards at Bung Hatta University Library, and (6) implementation of information and communication technology standards at Bung Hatta University Library. The research methodology used is qualitative research with the type of Field Research research and uses a descriptive approach. Data collection techniques through observation, interviews, and documentation. The informants in this study were one library officer and two people from the library users at the Bung Hatta University Library. Based on the results of the study, it can be concluded as follows. First, the implementation of collection standards, consisting of nine sub-indicators, of the nine sub-indicators, there are six sub-indicators that meet standard implementation and three sub-indicators that do not meet standard implementation. Second, the implementation of facilities and infrastructure standards, consisting of five sub-indicators, of the five sub-indicators, there are two sub-indicators that meet the implementation of standards and three sub-indicators that have not met the implementation of standards. Third, the implementation of service standards, consisting of two sub-indicators, of the nine sub-indicators, there is one sub-indicator that meets the implementation of standards and one sub-indicator has not met the implementation of standards. Fourth, the implementation of library promotion standards, this indicator has met the standard implementation. Fifth, the implementation of library staff standards, consisting of three sub-indicators, of the three sub-indicators, there is one sub-indicator that meets the standard implementation and two sub-indicators have not met the standard implementation. Sixth, the implementation of information and communication technology standards, this indicator has not met the implementation of standards. Thus, of the twenty-one sub-indicators assessing the implementation of the Regulation of the Head of the National Library of the Republic of Indonesia Number 13 of 2017 concerning National Library Standards at the UPT Library of Bung Hatta University, those that meet the National Standards for Higher Education Libraries based on the Regulation of the Head of the National Library of the Republic of Indonesia Number 13 of 2017 concerning National Standards for Higher Education Libraries are 11 sub-indicators and those that have not met the standards are 10 sub-indicators.