Reviewerly/exHarmony huggingface dataset:
Cross-lingual entity alignment method based on attribute weight updating network

Authors:
raw_author_name: Zhehan SU
raw_affiliation_string: Key Laboratory of Linguistic and Cultural Computing Ministry of Education, Northwest Minzu University, Lanzhou 730030, China
raw_author_name: Tao XU
raw_affiliation_string: Key Laboratory of Linguistic and Cultural Computing Ministry of Education, Northwest Minzu University, Lanzhou 730030, China
raw_author_name: Yugang DAI
raw_affiliation_string: Key Laboratory of Linguistic and Cultural Computing Ministry of Education, Northwest Minzu University, Lanzhou 730030, China
raw_author_name: Yujia LIU
raw_affiliation_string: Key Laboratory of Linguistic and Cultural Computing Ministry of Education, Northwest Minzu University, Lanzhou 730030, China

Abstract: 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

Authors:
raw_author_name: Jingfeng LUO
raw_affiliation_string: School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
raw_author_name: Lan ZHANG
raw_affiliation_string: School of Cyber Engineering, Xidian University, Xi'an 710071, China
raw_author_name: Yaohong QU
raw_affiliation_string: School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
raw_author_name: Shihong SU
raw_affiliation_string: School of Automation, Northwestern Polytechnical University, Xi'an 710072, China

Abstract: 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

Authors:
raw_author_name: Lyubov' Nikolaevna Glebova

Abstract: 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

Authors:
raw_author_name: Kannadhasan Suriyan
raw_affiliation_string: Study World College of Engineering, India
raw_author_name: R. Nagarajan
raw_affiliation_string: Gnanamani College of Technology, India
raw_author_name: R. Prabhu
raw_affiliation_string: Gnanamani College of Technology, India

Abstract: 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

Authors:
raw_author_name: Sherly Alphonse
raw_affiliation_string: Vellore Institute of Technology, Chennai, India
raw_author_name: S. Abinaya
raw_affiliation_string: Vellore Institute of Technology, Chennai, India

Abstract: 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

Authors:
raw_author_name: Tarun Kumar Vashishth
raw_affiliation_string: IIMT University, India
raw_author_name: Vikas Sharma
raw_affiliation_string: IIMT University, India
raw_author_name: Kewal Krishan Sharma
raw_affiliation_string: IIMT University, India
raw_author_name: Bhupendra Kumar
raw_affiliation_string: IIMT University, India
raw_author_name: Sachin Chaudhary
raw_affiliation_string: IIMT University, India
raw_author_name: Manoj Gupta
raw_affiliation_string: IIMT University, India

Abstract: 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

Authors:
raw_author_name: M. Arun Manicka Raja
raw_affiliation_string: Department of Computer Science and Engineering, RMK College of Engineering and Technology, Puduvoyal, India
raw_author_name: Maya P. Shelke
raw_affiliation_string: Department of Information Technology, PCET's Pimpri Chinchwad College of Engineering, Pune, India
raw_author_name: S.B. Gokul
raw_affiliation_string: YSR Engineering College, India

Abstract: 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

Authors:
raw_author_name: Chandana Gouri Tekkali
raw_affiliation_string: Computer Science and Engineering, Raghu Engineering College, Dakamarri, Visakhapatnam, Andhra Pradesh, India
raw_author_name: Karthika Natarajan
raw_affiliation_string: School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India

Abstract: 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

Authors:
raw_author_name: Herry Mulyono
raw_affiliation_string: Universitas Dinamika Bangsa, Jambi

Abstract: 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

Authors:
raw_author_name: Yu. A. Hnatyshyn
raw_author_name: H. I. Klishch
raw_affiliation_string: Тернопільський національний медичний університет імені І. Я. Горбачевського МОЗ України

Abstract: 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

Authors:
raw_author_name: Gerardo Reyes Ruiz
raw_affiliation_string: Centro de Estudios Superiores Navales (CESNAV), Mexico

Abstract: 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

Authors:
raw_author_name: Jaya Rubi
raw_affiliation_string: Vels Institute of Science Technology and Advanced Studies, India
raw_author_name: A. Vijayalakshmi
raw_affiliation_string: Vels institute of Science Technology and advanced Studies, India

Abstract: 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.
[Call attention to the overall benefit of digital pathology and promote its development].

Authors:
raw_author_name: H Bu
raw_affiliation_string: Department of Pathology, West China Hospital, Sichuan University, Chengdu 610044, China.

Abstract: The successful operation of the complete digital pathology(CDP) in foreign countries indicates that the full digital pathology process has entered the full implementation stage. Digital pathology in China started late and progressed slowly, so far there has not been a truly meaningful CDP. The pathologist's understanding of digital pathology is not comprehensive enough, and there are still doubts about the time efficiency and cost effectiveness of digital pathology processes. Therefore,a comprehensive analysis of the process, overall advantages and cost-effectiveness of CDP was made by drawing on international successful experience and hands-on practice experience, in order to promote the construction and development of the CDP in our country.国外全数字化病理科的成功运行，标志着全数字病理流程已进入全面实施阶段。国内数字病理起步晚、进展慢，至今尚未有真正意义的全数字病理科出现。业界对数字病理的认识还不够全面深入，对数字病理流程的时间效率和成本效益还存有疑虑。因此，作者借鉴国际上的成功经验和实践感受对全数字化病理的流程、整体优势和成本效益等进行了全面的解析，以期促进我国的数字化病理科建设和发展。.
21st Century Learning Trends : What Educators Need to Know

Authors:
raw_author_name: Wahyudin Wahyudin
raw_author_name: Endah Permatasari

Abstract: In the 21st century, a paramount emphasis lies on the education of the 21st century and the cultivation of multifaceted skills that bolster students in acclimating to dynamic transformations. A pivotal trajectory in educational paradigms manifests through the amalgamation of technology and the adoption of digital pedagogical methodologies. The transition towards this technological integration is propelled by the imperative to assimilate 21st-century proficiencies, fortifying students for an ever-evolving technological milieu. Concurrently, there is an accentuation on honing students' faculties of critical reasoning and amplifying scientific acumen. Character education assumes a centrality, underscoring its resonance with the perspectives of students navigating the complexities of the 21st century. Moreover, 21st-century education encompasses the advocacy for innovative aptitudes and entrepreneurial prowess. Global educational trends steer towards STEM-oriented frameworks, augmenting students' adeptness in science, technology, engineering, and mathematics. In summation, education in the 21st century is intricately entwined with technology, globalization, and the imperative for students to foster competencies germane to an expeditiously evolving world.