Reviewerly/exHarmony huggingface dataset:
The effect of board culture diversity on ESG disclosure: Evidence from the Kingdom of Saudi Arabia

This study examines the influence of board culture diversity on Environmental, Social, and Governance (ESG) disclosure within the context of the Kingdom of Saudi Arabia (KSA). Drawing on a sample of 762 observations spanning from 2016 to 2021, a content analysis approach was employed to collect ESG disclosure scores. The results suggest a positive impact of board culture diversity on ESG disclosure. To reinforce the validity of these findings, robustness tests, including a lag model and an alternative proxy model, were conducted. Moreover, potential endogeneity concerns were addressed using a two-stage least squares (2SLS) analysis, strengthening the study's reliability. This research contributes to the literature on the interplay between corporate board diversity and ESG reporting practices, especially within the specific context of the KSA-listed companies.
NEUROBICS AS A TOOL FOR DEVELOPING THE SKILL OF INTELLECTUAL WORK, OR ABOUT THE BENEFITS OF EDUCATING THE MIND OF A CHILD IN THE PEDAGOGICAL HERITAGE OF V.A. SUKHOMLINSKY

The article analyzes the pedagogical views of V. A. Sukhomlinsky on intellectual work and education of the mind; about the spiritual component of mental labor. The experience of using neuroscience as a tool for developing the skill of intellectual work of a teenager in the regional distance school “I am a citizen of Russia” on the basis of GAUDO OODTDM im. V.P. Polyanichko.
PEDAGOGICAL HERITAGE OF V.A. SUKHOMLINSKIY IN A PRACTICE OF TEACHER’S PROFESSIONAL DEVELOPMENT

In this article the main aspects of teacher’s professional development, using of pedagogical heritage of V.A. Sukhomlinskiy in a secondary school practical activity are considered. The model of secondary school teacher’s advanced training in an educational institution is introduced.
V.A. SUKHOMLINSKY ABOUT THE EDUCATION OF TEACHER PEDAGOGICAL ACTIVITY CULTURE

Analysis of works by V.A. Sukhomlinsky, reflecting the idea of cultivating a culture of pedagogical activity of a teacher, showed that its theoretical source was the works of outstanding domestic and foreign teachers of the past and the work of contemporary scientists, which contributed to its significant ideological and theoretical enrichment. At the same time, proposed by V.A. Sukhomlinsky, the idea of cultivating a culture of pedagogical activity of a teacher is distinguished by an undeniable scientific novelty. The idea of cultivating a culture of pedagogical activity of a teacher in the pedagogical work of a scientist has gone through three periods in its development: the period of searching and substantiating new ways in working with the personality of a teacher and student; the period of combining the culture of activity and the general culture of the teacher in his professional activity; the period of creation of a local culture-consistent education system (Pavlysh secondary school). Analysis of the practical activities of V.A. Sukhomlinsky in different periods and the works created by him at that time, led to the conclusion that by the mid-60s, a holistic pedagogical concept of the culture of the teacher’s pedagogical activity had developed in the work of the great teacher. In the legacy of V.A. Sukhomlinsky’s idea of cultivating the culture of teacher’s pedagogical activity lies in the fact that a culturally appropriate teacher is an integral person with a moral and humanistic orientation, a high level of general culture, capable of self-realization in activities close to the norms of culture. The culture of the teacher’s pedagogical activity in the light of the stated idea is interpreted by us as an integrative quality of the personality, syncretically combining motivational, cognitive, activity and emotional-evaluative components, as well as such a way of its conscious organization in which both the teacher and the student develop. Based on the analysis of printed and handwritten works by V.A. Sukhomlinsky, the conditions for educating the culture of the teacher’s pedagogical activity are revealed: the organization of a reflexive educational environment; creating an atmosphere of scientific creativity in the teaching staff; emotional coloring of pedagogical activity, which have been tested in the Pavlysh secondary school and remain relevant today.
METHODOLOGY OF CHILD SOCIALIZATION IN V.A. SUKHOMLINSKY HUMANISTIC PEDAGOGY

The article examines the value of the child upbringing system developed and implemented by V.A. Sukhomlinsky in the process of professional activity. The special significance of the famous scientist is the strategy of this system, built on the anthropological approach in combination with a set of principles: cultural conformity, natural conformity, humanism, value-oriented, as well as the provisions of the system approach. The core of the scientist’s system was spiritual and moral education, the results of which made it possible to mark a new stage in the development of modern pedagogy aimed at supporting the child, which contributed to a change in the views of teachers on the attitude towards the child, interaction in the system “Man — child — society” and form the qualities necessary in the process of socialization. The authors of the article note that in modern conditions the ideas of the scientist acquire a new sound, interpretations, acquire new meanings, allow for an innovative approach in the education system to educate a free, worthy man with a firm position as a citizen of his Fatherland.
Recommendations to Combat Child Exploitation in Social Media

The advent of social media has led child social media stars to garner millions of followers, viewers, and dollars, yet beneath the surface, these stars have been extremely vulnerable to exploitation. The legal landscape offers few financial, labor, and privacy protections for child content creators. Examples abound of parental content creators violating their children’s privacy and dignity for content. We propose five areas governments and institutions should focus on to address the exploitation of child social media stars. First, policy makers should create laws to ensure fair financial compensation of children in social media content. Second, policy makers should extend labor protections to child creators. Third, states, international institutions, and political actors should develop and enshrine a child’s right to be forgotten. This allows children, regardless of parental consent, to be removed from online content. Fourth, governments should implement third party monitors to monitor the protections of child creators. Finally, international treaties should be expanded to protect child creators. The UN Declaration of Human Rights should be amended to include a right to be forgotten, and the UN Sustainable Development Goals should expand to include a goal of child dignity in work.
DISTANCE LEARNING AS ONE OF THE FORMS OF ORGANIZATION OF THE EDUCATIONAL PROCESS

Distance learning is the interaction of teachers and students who are far from each other, through telecommunication technologies and Internet resources, implemented as a form of learning based on education. The characteristic of the educational process for distance learning is characteristic for all components of the educational system: goals, content, organizational forms, teaching aids, control, evaluation system and results.The purpose of distance education is to provide students with the opportunity to master higher and secondary vocational basic and additional programs of vocational education, respectively, in higher educational institutions, secondary and additional vocational education.
SIGNIFICANCE AND ITS FEATURES FORMATIVE ASSESSMENT

The article discusses the issues of self-assessment of one’s knowledge on a daily basis, even at each lesson, and the use of formative assessment techniques and its features. Formative assessment is the daily work of achieving success. Of course, to ensure the development of school material, feedback is always supported. Formative assessment is characterized by informality, such as discussion of assessment, comments, and the observational nature of student achievement.
A Comprehensive Framework for Evaluating Software Engineering Technologies

As the landscape of software engineering continually evolves, the need for a systematic approach to evaluate and select appropriate technologies becomes paramount. This paper presents a comprehensive framework for the evaluation of software engineering technologies, offering a structured methodology to assess key aspects that influence successful adoption. The framework encompasses factors such as performance, scalability, security, documentation, learning curve, integration capabilities, community support, and corporate backing. It emphasizes the importance of aligning technology choices with project requirements, budget constraints, and long-term goals. The proposed framework guides practitioners through a step-by-step process, encouraging the exploration of case studies, prototypes, and real world feedback to inform decision-making. Continuous evaluation and adaptation are emphasized, recognizing that the technology landscape is dynamic. By employing this framework, software engineering teams can make informed decisions, mitigate risks, and select technologies that best suit their project’s unique needs, fostering successful and sustainable development practices.
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion

Point clouds captured by scanning devices are often incomplete due to occlusion. To overcome this limitation, point cloud completion methods have been developed to predict the complete shape of an object based on its partial input. These methods can be broadly classified as supervised or unsupervised. However, both categories require a large number of 3D complete point clouds, which may be difficult to capture. In this paper, we propose Cross-PCC, an unsupervised point cloud completion method without requiring any 3D complete point clouds. We only utilize 2D images of the complete objects, which are easier to capture than 3D complete and clean point clouds. Specifically, to take advantage of the complementary information from 2D images, we use a single-view RGB image to extract 2D features and design a fusion module to fuse the 2D and 3D features extracted from the partial point cloud. To guide the shape of predicted point clouds, we project the predicted points of the object to the 2D plane and use the foreground pixels of its silhouette maps to constrain the position of the projected points. To reduce the outliers of the predicted point clouds, we propose a view calibrator to move the points projected to the background into the foreground by the single-view silhouette image. To the best of our knowledge, our approach is the first point cloud completion method that does not require any 3D supervision. The experimental results of our method are superior to those of the state-of-the-art unsupervised methods by a large margin. Moreover, our method even achieves comparable performance to some supervised methods. We will make the source code publicly available at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/ltwu6/cross-pcc</uri>
METHODOLOGY FOR STUDYING ARCHAEOLOGICAL OBJECTS, DEEPENED INTO HOMOGENEOUS SANDY SOILS

The article presents the author's method of detecting deep objects left on settlements and burial grounds in the forest zone of the Angara and Yenisei river valleys in homogeneous alluvial and Aeolian sandy soils. The methods of collecting evidence of the presence of structural details in deep objects are considered: pits, corners, “shelves”, pillars, poles, hearth, entrance, etc. For this purpose, data from planography and microstratigraphy, observations of microstructure, comparison and comparison of adjacent areas, application of objects from parts are used. The conditions for recording observations through photo and video shooting with uniform illumination are given. The analysis of such objects is carried out with archaeological tools - shovels, shovels, knives, palette knives, needles, brushes, air pears with soil sifting.
IMPACT OF THE GERMANE LOAD ON STUDENTS’ BEHAVIORAL INTENTION ON ONLINE COURSES DURING COVID-19: MEDIATING ROLE OF INSTRUCTIONAL DESIGN AND MODERATING ROLE OF E-LEARNING PERSONALIZATION

The study is carried out to examine the impact of the germane load on the Students’ Behavioral Intention of students studying in the public universities of China. Meanwhile, the study has also examined the mediating role of instructional design and moderating role of e-learning personalization. The study has used the SEM-PLS is to examine the relationship between and among the variable. The current study has investigated the relationship between germane load and instructional design, future behavioral intentions and instructional design, and future behavioral intentions with the germane load. The survey was conducted among the university students of China who participated in online learning programs during the COVID-19 pandemic. Moreover, the mediation influence of germane load on the relationship of future behavioral intentions and instructional design has been studied. It was found that all the relationships were positively correlated. The mediation influence of instructional design was found between the relationship of future behavioral intentions and instructional design. The study has examined the instructional design as a mediator. The analysis of an instructional design focusing on setting course plans results in improved germane load, which improves the process of learning, and future behavioral intentions among students are increased. It is important to note that usage intention and germane load are benefited through an effective instructional design. Therefore, the association between usage intention and germane load is important to be examined for analyzing a good understanding of the content among students and their plan for continuing e-learning in the future. In literature, studies have worked on instructional design, which results in improved learning and intention to continue e-learning and among students. However, there is a need to explore instructional design that focuses on general course planning to improve behavioral intention in the future based on the previous learning experience. The study is among the pioneers on the issues related to e-learning mechanisms in eastern Malaysia&#x0D; &#x0D;
Examining the determinants of the intention of using E-learning among university students in China During COVID-19

The main objective of the study is to examine the intention of using E-learning among university students in China. The factors such as computer experience, personal innovativeness, computer self-efficacy, and performance expectations on the impact on the intention of using e-learning during COVID-19. PLS-SEM approach is used for analyzing the research models of complex nature, where there are numerous observed and unobserved variables in the model the response rate came out 77%, which is considered more than sufficient for further analysis. An empirical study based on e-learning was conducted in a developing country. It was found by the researcher that e-learning acceptance among the users is significantly influenced by CSE. The experience of using a computer has been regarded by previous studies as a strong determinant of attitudes toward using computers. E-learning systems are used by individuals when it is perceived that it will improve their effectiveness and productivity in learning education during COVID-19. Their intentions to use e-learning systems are influenced by these beliefs. As the high rate of attrition has become a key issue in e-learning, the main concern related to online teaching and learning is motivation. Their relationship results in improved use of the e-learning system. A computer self-efficacy construct was adapted in a study based on a specific implementation of e-learning. Computer self-efficacy was defined as the level with which people feel confidence in their skills for using online technology of learning and achievement of course-related tasks. The study has highlighted an important issue related to personal innovativeness, computer experience, and personal self-efficacy among students in China during COVID-19.&#x0D; &#x0D;
Principles of Synthesizing Medical Datasets

Abstract Data in many application domains provide a valuable source for analysis and data-driven decision support. On the other hand, legislative restrictions are provided, especially on personal data and patients’ data in the medical domain. In order to maximize the use of data for decision purposes and comply with legislation, sensitive data needs to be properly anonymized or synthetized. This article contributes to the area of medical records synthesis. We first introduce this topic and present it in a broader context, as well as in terms of methods used and metrics for their evaluation. Based on the related work analysis, we selected CTGAN neural network model for data synthesis and experimentally validated it on three different medical datasets. The results were evaluated both quantitatively by means of selected metrics as well as qualitatively by means of proper visualization techniques. The results showed that in most cases, the synthesized dataset is a very good approximation of the original one, with similar prediction performance.
Why the Frontend Keeps Getting Harder

I gave a talk recently extolling the virtues of PouchDB and how you can use it build web experiences that feel very much like native apps. In short, with PouchDB you can give users app-like experiences with no login, and that store data while offline. And yet they still have the best feature of web app: they can found with a URL. After the talk, I got a very natural question: Are there any UI libraries for resolving conflicts?
Comparison of machine learning models on breast cancer risk prediction challenge

Breast cancer is a malignant tumor that poses a serious risk to women's life and wellbeing. To make matters worse, this cancer is less symptomatic in its early stages. It is not easily diagnosed through traditional means. The topic of this essay is to investigate machine learning for the determination of breast cancer.. The methods based on machine learning are as followed: automated nuclear section segmentation model, BCRecommender System, DNNs, and computer-aided diagnosis model (CADM). The methods studied are all based on the BreCaHad dataset and use a comparative metric.To measure the performance of each model, the accuracy, F1-score, specificity, and precision are used. The result shows that the approaches based on machine learning work well in diagnosing breast carcinoma, with high accuracy. Most of them have a percentage over 90% in accuracy and some of them are even higher than 95%. However, some of the models work poorly, such as layer 1 of BCRecommender with 61.06% accuracy and EfficientNetB0 with 72.96%. With every aspect taken into consideration, computer-aided diagnosis (CADM: Using combined features of HOG, WPD, ResNet as well as PCA + SVM) has the greatest advantage in diagnosing BC.
Smart CCTV using Python and Open CV

Abstract: The field of video surveillance has seen significant advancements in technology. One such advancement is the incorporation of artificial intelligence (AI) into CCTV cameras, also known as "smart" CCTV cameras. These cameras have the ability to perform complex analytics that can greatly enhance the effectiveness of video surveillance. One of the key benefits of smart cameras is their ability to accurately detect and recognize objects, people, and events. This is achieved through the use of advanced algorithms that enable the camera to analyze video footage in real-time and identify any relevant activity.
Handwritten Character Recognition

Abstract: Handwritten character recognition is a fascinating topic in the field of artificial intelligence. It involves developing algorithms and models that can analyze and interpret handwritten characters, such as letters, numbers, or symbols. The goal is to accurately convert handwritten text into digital form, making it easier to process and understand. It's a complex task, but with advancements in machine learning and deep learning techniques, significant progress has been made in this area.Handwritten character recognition is all about teaching computers to understand and interpret handwritten text. It involves using advanced algorithms and machine learning techniques to analyze the shapes, lines, and curves of handwritten characters. The goal is to accurately recognize and convert them into digital form. This technology has various applications, such as digitizing handwritten documents, assisting in automatic form filling, and enabling handwriting-based input in devices like tablets and smartphones. It's a fascinating field that combines computer vision, pattern recognition, and artifical intelligence
Development of Website BEM FEBTD Universitas Nahdlatul Ulama Surabaya

Currently BEM FEBTD UNUSA does not yet have a web-based information system, and only relies on delivering information and documentation through social media, namely Instagram. The drawback is that the management cannot manage the schedule so that information on the progress of each work program is obtained. This causes limited information that can be known by the academic community about work programs from year to year. Therefore, media is needed that can manage the work program of BEM FEBTD UNUSA. The methodological stages used are problem identification, website needs analysis, website design, website creation, website testing, and website testing analysis. The results of this study are the formation of the BEM FEBTD UNUSA website, and the administrators can manage work program schedules well, provide activity information, organizational profiles, facilitate various news search purposes, important information announcements, and activity documentation galleries. Testing is done by Black Box Testing and Usability Testing. The success percentage of Black Box Testing with 117 Test Cases is 100%. Meanwhile, the test results from Usability Testing show that according to the admin and supervisor, they strongly agree if the website is easy to use, fast, memorable, no errors are found, and satisfied when used. Meanwhile, according to administrators and visitors, they agree that if the website is easy to use, fast, memorable, no errors are found, and satisfied when used.
Sistem Penyimpanan Arsip Pada Sekretariat Dewan Perwakilan Rakyat Daerah Provinsi Sumatera Barat

An archive storage system is a system used for document storage to make it easier to store and quickly find documents that have been stored if needed at any time. Proper storage of government archives is very necessary to maintain and preserve documents so they can be used and found again in the future. Some of the obstacles faced by the Administration and Personnel Subdivision of the West Sumatra Province Regional People's Representative Council Secretariat in managing incoming and outgoing letters is that it takes quite a long time to search for certain letters. The research method used is data collection through observation . Archives at the Secretariat of the Regional People's Representative Council of West Sumatra Province are stored in a filing cabinet, this functions to save archive storage space.