Reviewerly/exHarmony huggingface dataset:
Performance Analysis of Gradient Inversion Attack in Federated Learning with Healthcare Systems

Federated learning (FL) is widely applied to healthcare systems with the primary aim of keeping the privacy of patient's data while improving classification quality by using knowledge from multiple participants. However, the training images are believed to be embedded into the shared gradient, which indicates a privacy risk when sharing the gradient with other participants in FL. Therefore, this work aims to design and evaluate an image recovery attack on medical images. More specifically, dummy images are trained to match the dummy gradient to the shared gradient while maintaining the smoothness and naturalness of reconstructed images. On the adversary side, an optimization problem is formulated with variables of dummy images and network parameters treated as constants. We evaluate the gradient attack on two medical datasets and reconstructed images clearly show the details of chest X-ray and MRI images including bone and blood vessels of captured areas. Our work aims to increase the awareness of people on sharing the gradient in FL, especially in healthcare systems.
PERANCANGAN VIDEO ANIMASI 2D “OPERASI HITUNG” MENGGUNAKAN TEKNIK MOTION GRAPHIC SEBAGAI MEDIA PEMBELAJARAN

The use of instructional media that is still manual as well as students' limitations in understanding the material and the lack of student motivation in learning causes teachers difficulties in delivering learning material. This needs to be developed, especially in appropriate 2-dimensional animation learning media which must be the main key so that students can follow learning well and increase student motivation in learning. Teaching modes in class, one of which is video animation. The process of learning arithmetic operations will be more easily understood by students if presented with detailed explanations and examples. According to the Computing Research and Computer Technology Research Institute (CTR), people remember 80% better what they see, hear, and do. This study aims to support the student learning process and make it easier for them to capture learning because it is animated and also equipped with detailed information. This research is motivated by a lack of understanding of the concept of arithmetic operations. Animations are made using Kinemaster as one of the main applications of motion graphics technology in the animation process and using FlipaClip as one of the 2D technology applications in the animation process.
Development of Human Reproductive System E-Module Teaching Materials using the Flip Pdf Corporate Application

This research focuses on developing and implementing e-module teaching materials for the human reproductive system using the Flip PDF Corporate application. Following the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation), the study begins with an analysis of student and teacher needs, along with an examination of the human reproductive system's basic competencies. The resulting e-module structure includes sections such as Introduction, Human Reproductive System overview, and Closing, among others. Expert validation, involving biologists and digital media experts, contributes to the development process. The study's implementation results indicate positive outcomes, with an average test score of 79.50, surpassing the KKM standard, and a good classification value. All students passed, with 53% achieving a good grade and 47% reaching a very good grade. Student responses also highlight the favorable material and technical quality aspects of the Flip PDF Corporate application. Overall, the research successfully demonstrates the effectiveness of the designed teaching materials for the human reproductive system.
Geofencing For Elderly

This century has witness a substantial increase in elderly population. Health issues like depression and dementia are more prominent in these elderly populations which demand Assisted Living environment. The engagement of technology is seen as a solution for the Assisted Living environment. With the help of technology, Ambient Assisted Living (AAL) has become a field of research. As AAL strives to seamlessly connect information technology with people's daily lives, the buzz word called Internet of Things (IoT) exhibits significant promise for developing technical solutions in this field. Geo-fencing is one such location sensing tool that uses IOT and GPS for defining geographical boundaries and is used for putting e-fences to the needy people in their ambiances. This article aims to provide a safe tracker environment that allows the elderly people to continue with their daily activities. In this article, application built for elderly people is explained. Through this application, the person gets the direction to reach back home or the alert message is sent to the family member or the caretaker. The alert message is sent while the person is out of the fencing area to himself or to the care takers and the location of the person can be tracked. This app can also be modified for different users like person with disability, game like pub-G players etc. for the situations where the device sense that the person is in a danger zone or out of the geo-fencing.
Exploring the Role of Machine Translation in Translating English Collocations into Arabic: Insights from Student Translators

Machine Translation (MT) has increasingly become an essential technology in the modern age. MT technology is currently used by many EFL learners as a learning facilitator. They are using MT as an essential tool to assist them in their foreign language learning activities. Several studies have focused on investigating the EFL students’ use of and attitudes towards MT in various EFL learning activities including reading, writing and vocabulary acquisition. However, few studies have been conducted on exploring the EFL learners’ use of MT technology in the translation of collocations, especially in the Arabic context. This study addresses this gap by investigating the impact of MT on the translation of English lexical collocations into Arabic. It presents a corpus of twenty English collocations given to thirty third-year translation students at an Omani university, who utilized an online MT system for their translations. Employing a descriptive, qualitative approach, the study assesses students' strategies and the accuracy of MT-generated equivalents, drawing from translation models by Vinay and Darbelnet (1958) and Newmark (1988). The results indicated that the students were able to generate correct translations for certain collocations when using MT, but there were inaccuracies in the translation of other collocations. The study emphasized the importance of not solely depending on MT because doing so might reduce students' willingness to actively search for the most appropriate translations on their own. This suggests that a balanced approach to using MT and encouraging students to develop their translation skills independently is advisable. Future research can explore the use of Machine Translation in translating collocations in languages beyond Arabic and within different cultural and linguistic contexts.
A Robust Noise Estimation Algorithm Based on Redundant Prediction and Local Statistics

Blind noise level estimation is a key issue in image processing applications that helps improve the visualization and perceptual quality of images. In this paper, we propose an improved block-based noise level estimation algorithm. The proposed algorithm first extracts homogenous patches from a single noisy image using local features, obtaining the covariance matrix eigenvalues of the patches, and constructs dynamic thresholds for outlier discrimination. By analyzing the correlations between scene complexity, noise strength, and other parameters, a nonlinear discriminant coefficient regression model is fitted to accurately predict the number of redundant dimensions and calculate the actual noise level according to the statistical properties of the elements in the redundancy dimension. The experimental results show that the accuracy and robustness of the proposed algorithm are better than those of the existing noise estimation algorithms in various scenes under different noise levels. It performs well overall in terms of performance and execution speed.
From the Experience of Organizing Pedagogical Support Adaptation of Students – Future Architects through Extracurricular Activities of the College

The article updates the importance of activities for pedagogical support of adaptation of college students in the context of growing interest among young people in secondary vocational education. The necessity of providing pedagogical support for the adaptation of students – future architects to the educational environment of the college, taking into account the specifics of their future specialty, is substantiated. It is proposed to use the pos-sibility of extracurricular activities as a means of ensuring the effectiveness of organizing pedagogical support for the adaptation of future architects. An analysis of the current state of knowledge of the problem in the scien-tific literature was carried out. On the basis of scientific positions determined based on the analysis of psycho-logical and pedagogical literature, a program of pedagogical support for the adaptation of first-year students of the specialty 02/07/01 was developed and tested at the State Educational Institution of Professional Education “Penza College of Architecture and Construction”. Architecture through extracurricular activities. The stage-by-stage organization and content of activities for pedagogical support of adaptation of future architects to the ed-ucational environment of the college through extracurricular activities in areas corresponding to the compo-nents of adaptation: educational-professional, socio-psychological and psychophysiological are characterized. The results of the program implementation are presented.
Empowering Customer Experience with AI Tools and Technologies

Reena Malik, Chitkara Business School, Chitkara University, Rajpura, Punjab, India
An Ancient Murals Inpainting Method Based on Bidirectional Feature Adaptation and Adversarial Generative Networks

To address the issue of varying degrees of damage in ancient Chinese murals due to their age and human-induced destruction, we propose a mural image restoration method based on bidirectional feature adaptation and adversarial generative networks. Firstly, we size and format the mural image. Subsequently, we construct an improved generator model that captures bidirectional semantic information, while introducing a spatial attention mechanism for adaptive feature enhancement for missing. Additionally, a spatial attention mechanism is introduced to adaptively enhance the features of known regions in the mural images. Furthermore, a discriminator model is constructed to discriminate between the restored mural images and real images, outputting a binary classification matrix. Finally, the network model is constrained by loss functions to generate mural images with rich textures. The experimental results show that the method realizes the restoration of mural images with different degrees of damage, and the restored mural images have finer texture information, which can contribute to the protection and inheritance of Chinese traditional culture.
Scientific Conference as a Way of Forming the Experience of Research Activity among Students of Pedagogical University

This article presents an analysis of the experience of the Department of General History, Sociology and Political Science of Omsk State Pedagogical University in holding a regional scientific conference “Problems of modern human knowledge”. The aim of the study is to identify the possibilities of this type of work in the context of the formation of future teachers’ competencies for the organization of research work in educational practice. The experience of the department in the preparation and holding of conferences in the period from 2016 to 2023 was studied. The authors conclude that the scientific conference is one of the most effective forms of pedagogical interaction between teachers and students, as well as one of the most effective ways for students of a pedagogical university to acquire research experience, which will be in demand by them when organizing educational and research work with schoolchildren.
The impact of blockchain technology on customer attitude and behavioral intentions in the banking sector

This study examines customer attitudes towards blockchain technology (BCT)-supported banking applications in Oman and explores the relationship between these attitudes and behavioral intentions, highlighting the influencing factors. Blockchain Technology (BCT) has disrupted the banking sector, but understanding customer attitudes towards BCT-supported banking applications and their impact on behavior remains limited. In pursuit of this objective, a quantitative research design was employed, involving the collection of data from retail bank customers in Oman through a structured questionnaire. The collected data underwent rigorous analysis using a robust Structural Equation Model, confirming the constructs' validity, reliability, and distinctiveness. The study uncovered that BCT has a positive impact on various aspects of the banking sector, including customer service quality, regulatory compliance, secured transactions, and cost reduction. By augmenting transparency, efficiency, and trust in banking transactions, BCT significantly improves customer attitudes towards BCT-supported banks. Furthermore, the research reveals that positive attitudes play a pivotal role in influencing customers' intentions to prefer and continue using these blockchain-backed banks. The study also highlights the importance of trust factors and transaction frequency as moderators in shaping customer attitudes and behavioral intentions in this context. The insights gleaned from this research hold practical significance for banks operating in Oman, offering guidance for tailored marketing campaigns, product design, and aligning their offerings with customer expectations in the realm of blockchain-supported banking applications. Additionally, the study provides practical recommendations for the successful implementation and adoption of blockchain-supported financial applications within the banking sector.
An Experimental Investigation of the Performance of a Solar Heater under Climate Conditions of South of Iraq

In general, solar water heating system can be described as a beneficial device for heating water by the utility of incident solar radiation. In the present study, an experimental solar water heater was constructed in Misan City, south of Iraq. The constructed experimental unit is a box of glass with a width of 40 cm. To measure temperatures of the experimental unit 7 K-type thermocouples were used. Three different inclination angles were investigated. The results showed that in the month of January, temperature of the solar water heater reached around 70 °C with an inclination angle of 37°. Furthermore, it was conducted that for the investigated period (January), temperatures reached the maximum at around 14 p.m. and then there was a decrease in the temperature. Moreover, it was concluded that the height of the solar water heater has a significant influence on the temperature.
Challenges of the Use of Virtual Assets in Money Laundering

Cryptocurrencies have vast potential, but they also present significant risks related to money laundering and terrorist financing due to their technical characteristics. Crypto-assets are essentially applications of blockchain technology, which entails a public, encrypted, and secure ledger distributed across a network of validated computers. Each computer operates with common software that fosters consensus on new entries and prevents unauthorized alterations to the agreed-upon register. The Financial Action Task Force (FATF) has issued numerous guidelines on virtual assets, and in September 2020, the European Commission embraced the Digital Finance Package to bring the EU in line with the digital age. A pivotal component of this package is Regulation (EU) 2023/1114 of the European Parliament and of the Council, dated May 31, 2023, on markets in crypto-assets, known as MiCA Regulation. This regulation signifies the EU’s endeavor to standardize the legal framework for crypto assets while actively contributing to the prevention of money laundering and terrorist financing. The challenge for regulatory authorities lies in the seizure, confiscation, and forfeiture of crypto-assets as proceeds of crime, given their inherent characteristics that impede traceability. Court decisions outlined in this article underscore the difficulties faced by law enforcement authorities when handling crypto-assets as proceeds of crime. The article examines how European legal authorities and the FATF utilize various legal tools, such as Directives, Regulations, and Guidelines, to adapt to the evolving landscape of virtual assets. To mitigate the risk of forum shopping, where individuals seek the most favorable legal regime, alignment of the legal frameworks of Member States is crucial. The ongoing evolution of the legal framework reflects the persistent challenges posed by virtual assets in the context of criminal activities, prompting a continuous adaptation of regulations by European legal authorities and the FATF.
The mission of a foreign language teacher in the changing world

The article deals with the problems of foreign language teaching in the conditions of limited educational mobility of students, in which it is necessary to revise the strategy of teaching foreign languages and its goals. The tasks of developing the skills of oral and written communication in the target language, expanding the horizons of students by getting to know a new culture and developing general erudition, as well as the formation of critical thinking, a deep and comprehensive study of the native culture for a worthy translation of its values into the world become the priority. The article analyzes the results of a survey of students about their ideas about what an ideal teacher should be. A modern teacher cannot be limited to tasks of an exclusively didactic nature, but must follow the development of the neurosciences that study the activity of the brain in order to effectively use methods and techniques that stimulate cognitive processes in the process of learning foreign languages. It is also necessary to take into account changes affecting the motivational attitudes of the audience and its ability to perceive information. The main change was the significantly increased need of students for the psychological support of the teacher, in a more friendly, open and emotionally balanced environment; the survey showed a desire to see a teacher who is not only passionate about his work, but also able to interest students who are not always motivated and are largely stressed. In a constantly changing world, the treasures of native culture remain unchanged and stable values that can expand the horizons of knowledge and provide strong guidelines for professional activity, the transmission of which to the world gives a special meaning to the study of foreign languages and brings the mission of a teacher to a qualitatively different level.
Peningkatan Literasi Digital dan Kemanusiaan Melalui Powerpoint sebagai Media Pembelajaran bagi Santri Pondok Pesantren Asshodiqiyah

People's lack of understanding of digital media results in misuse which has consequences for personal and social life. Social media is present as part of internet development. Its presence offers easy and new ways of interacting, communicating, and socializing with the support of interesting features. The number of social media users in Indonesia is dominated by teenagers, so the impact is felt by teenagers. Good use can improve achievement, whereas bad use can have negative consequences for children and adolescents. We need to respond to technological developments that are bringing us to the Industrial Revolution 4.0 wisely. This is what makes Digital Literacy very necessary. Self-understanding of digital technology movements requires us to learn more deeply about material related to digital literacy. To be able to use the internet well, everyone, including students, must have good digital literacy. To be able to use the internet well, it is necessary to strengthen the literacy of students. Apart from that, there needs to be protection so that the internet is used only for good, and teachers must direct students to filter negative things from the internet. After learning about Digital Literacy and Humanity, Santri will be given training on how to prepare PowerPoint as a learning medium. Improving skills in preparing learning media based on digital literacy is an important thing for students to develop.
The Necessity of Implementation of RI‘s Module to the Ukrainian Research Information System

The objective of implementing an RI (Research Information) module to the Ukrainian Research Information System is to enhance the management, visibility, and accessibility of research-related information within the Ukrainian research ecosystem. The module aims to improve the efficiency of research administration, promote collaboration among researchers and institutions, and facilitate the dissemination of research outputs. In this article, the authors attempted to investigate the need for developing a comprehensive classification of national research infrastructures with the aim of implementing a separate module into the national CRIS system. The work is aimed at analyzing the possibilities and advantages of implementing the RI (Research Information) module in the Ukrainian Research Information System. Methods. Developing the national classifier, the experience and methodology of the EU were utilized, taking into account both legislative and technical peculiarities specific to the country. Additionally, the approaches of various Ukrainian research institutions in defining and classifying research infrastructures were studied, and the existing experience in CRIS systems related to this matter was also examined. Results. The research should highlight the existing challenges and limitations in managing research-related information within the Ukrainian research ecosystem. This could include issues related to data fragmentation, lack of standardization, limited accessibility, inefficient research administration processes, and low visibility of research outputs. Based on the research findings, a set of proposed features and functionalities for the RI module should be presented. These features should address the identified challenges, stakeholder needs, and lessons learned from international practices. The proposed module should aim to improve data management, collaboration, visibility, and efficiency in research administration. Besides, the authors are trying to figure out the role of the libraries into CRIS implementation process. The scientific library's expertise in research data management, data curation, user support, collaboration, and promotion makes it an invaluable partner in implementing a Research Information module into the current Research Information System. Conclusion. The research should provide a comprehensive understanding of the necessity and potential benefits of implementing an RI module to the Ukrainian Research Information System, guiding future decision-making and actions in this regard. In general, the need for developing an operational classifier for the national CRIS system is driven by the fact that such a step will provide structured frameworks for managing research activities, efficient allocation of resources, including financial resources, strategic planning, and collaborations.