Reviewerly/exHarmony huggingface dataset:
ALGORITMA K-MEANS CLUSTER UNTUK SEGMENTASI PELANGGAN

Consumer data for business transactions in retail agricultural products has not been managed digitally. This can be seen from consumer data which is still stored manually, some customer data is stored only based on purchase receipts and others have logbooks so that consumer data can be lost at any time. To improve service to consumers, sales analysis is carried out using the k-means algorithm. The aim is to be able to group consumers based on the number of transactions, the number of products purchased, and the frequency of transactions made. The data processed was 127 transaction data and grouped by name of the consumer, 116 consumers made transactions in the last 1 months. From this data, 5 clusters were determined including: Superstar, Golden, Typical, Occasional, Everyday. Of the 5 clusters, there were 4 consumers including Superstar, 12 Golden consumers, 34 Typical consumers, 29 Occasional consumers and 37 Everiday consumers.
Cuckoo Search Algorithm Study for Voltage Source Inverter Harmonic Reduction

This research examines the issues with harmonics in a voltage source inverter (VSI) and proposes the cuckoo search optimization (CSO) algorithm for reducing THD value. This algorithm has been employed to estimate the optimum values of the PI constants. Utilizing the traditional PI controller attached VSI, the tuned values of PI constants determined by the CSO algorithm are employed to reduce harmonics. The Simulink tool of the MATLAB program and the hardware configuration employing the PIC microcontroller were used to carry out the experimental verifications. The estimated THD values for both the software and the hardware results demonstrate that the THD values are significantly lower than the requirements set out by the IEEE standard.
Innovative culture of a teacher of a teaching of higher education: theoretical-methodological and empirical aspects

The article is devoted to the consideration of the problem of formation of innovative culture of a teacher of a pedagogical institution of higher education. the innovative culture of the teacher is considered as a scientific phenomenon, as well as a component of professionalism and a factor in improving the educational process.The purpose of the article is to summarize the results of theoretical research into the essence of innovative culture, the relationship between this phenomenon and the concepts of innovative pedagogical activity, components of professional pedagogical activity and their formation in the process of professional training in the conditions of a pedagogical institution of higher education. The logical relationship between the realization of material and spiritual culture in the innovative activity of an individual is presented. The peculiarity of the formation of an innovative culture in the process of professional pedagogical activity in the conditions of an innovative educational environment is illustrated. The essence of the innovative culture phenomenon is revealed on the basis of axiological and structural-functional approaches and its components are determined. The main factors that determine the formation of the need for the innovative orientation of the teacher’s pedagogical activity in the modern conditions of educational activity in the institution of higher education are revealed. Evaluation criteria were formulated and an empirical study was carried out to determine the levels of formation of innovative culture among teachers of a pedagogical institution of higher education, and the characteristics of individual groups of teachers according to the determined levels were presented. Based on the analysis of the pedagogical characteristics of certain groups of scientific and pedagogical workers, the peculiarities of their atitude to perception, understanding, creation and application of innovations in the educational process were characterized: from active-positive to passive-negative. The key competencies of a modern teacher and their selection criteria are defined, which determine the ability to engage in innovative pedagogical actvity and ensure the effective performance of pedagogical functions and tasks in accordance with the content of the formed innovative culture. According to the results of the conducted research, the conclusions were made that the innovative culture of the teacher is an integrated component of the professionalism of the pedagogical worker at the personal and professional levels. The formation of the teacher’s innovative culture determines the effectiveness and quality of pedagogical activity in the context of the development of the innovative educational environment of the institution of higher education.
Essence and structure of research activities of scientifically gifted high school students

In today’s world, high technologies, science and innova^on are an important component of society’s life. The problem of replenishing national science with young personnel in Ukraine is becoming more and more noticeable. High-quality training of the scientific elite of the new generation is an important task for the country. Educational programs aimed at identifying, suppor^ng and developing scientifically gifted high school students are of particular importance, especially in the difficult war conditions in which the Ukrainian society is currently suffering from the atrocites of the invaders. Scientific education, as a modern paradigm, is currently one of the most effective ways to qualitatively prepare the future generation for life in new, extremely dynamically changing conditions. The purpose of the article is to analyze the features and essence of the research activity of scientifically gifted high school students. To consider the content and structure of research work of students - members of the Small Academy of Sciences of Ukraine. The article examines and analyzes the essence of research activities of scientifically gifted high school students in the system of the Junior Academy of Sciences of Ukraine, conducts an analysis and synthesis of the results of informa^on and reference systems search in order to determine the main structural components of scientific research work. Definitions of the main concepts related to the competention-defense of research works of students who are members of the Junior Academy of Sciences of Ukraine are provided. The main approaches for the rational choice of a student’s research topic are determined, with a focus on the importance of the relevance criterion and the necessity for the development of scientific thinking, startng from the school age. Parallels are drawn regarding the common features of the Junior Academy of Sciences’ scientific research work and scientific articles. The materials of this research may be interesting and useful to leaders of clubs, teachers, method­ologists, and scientists who work with scientifically gifted high school students.
The Role of Education Management In Information Systems, Accessibility of Education and Training In The Capacity Development of The State Civil Apparatus (ASN)

The role of education management in information systems, training accessibility in increasing the capacity of the State Civil Apparatus (ASN) is a scientific literature review article. The purpose of writing this article is to build roles between variables that will be used in further research, within the scope of Human Resource Management and Leadership. The article writing method is the library research method , which is sourced from online media such as Google Scholar and other academic online media . Qualitative descriptive analysis. The results of this article are: 1) Information Systems have a role in education management in ASN Capacity Building; 2) Accessibility has a role in education management in ASN Capacity Building; 3) Education management plays a role in increasing ASN capacity.
DIGITAL CHILDHOOD AND NEGATIVE REPLACEMENT EFFECTS

The relevance of the analysis of child development in the digital world is associated with identifying the range of negative substitutions. Functional substitution shows that an active role belongs to the gadget. A child performs a passive role, receiving full navigation, “wired” in the gadget. Digital interaction forms reactive behavior according to the logic “stimulus - new temptation”. Social substitution is caused by copying a fi nished scheme set by the algorithm. There is no need for joint action, which is a criterion of sociality. Replacing the adult fi gure with a gadget generates a digital loneliness. The child fi nds himself “beyond” the joint work and social obligations, the installation of communication is blocked. The shift of the semantic event center is due to the fact that the child, being in virtual environment, experiences events as real and value-signifi cant. The fact is that gadget-independent motivation and goal-setting disappear. Scenario capture demonstrates the effect of total immersion. In the digital world, the priority scenario of behavior is initially set by algorithms. The convenience and effi ciency of the gadget teach the child to take ready-made schemes of action, giving rise to the illusion of development. Results. In the process of digital interiorization, several types of substitutions have been identifi ed, including functional, social, semantic and scenario capture. They are dangerous with negative effects that deform the development of the child, the cognitive and psycho-mental structure of a personality. The fi nal effect of digital substitutions is the social immaturity of the child in the world of real object-activity relations. Conclusion. The identifi ed substitutions can be evaluated as a part of the global technology aimed at algorithmization of behavioral patterns. There is an acute need for the return of the adult fi gure and the increasing algorithmic responsibility of software developers.
ETHICS GAP IN ADOLESCENTS’ ONLINE COMMUNICATION

The results of contemporary Internet communication studies often conclude that the Internet environment contributes to formation of such attitudes and behavioral patterns as aggressive behavior, verbal abuse, fraud, trolling, bullying and etc. To describe this phenomenon C. James uses the term “the Ethics gap” and refers the loss of sensitivity to the moral and ethical aspects of behavior to it. The aim is to identify to what extent adolescents rely on e-communication and what its content is. From March to June, , an empirical study on the specifi cs of digital socialization of adolescents was conducted on the basis of MSUPE. The study focused on the aspects of online communication among adolescents and included  participants at the age from  to  years. Besides the questionnaire aimed at fi guring out the goals, preferences, potential threats and consequences of adolescents’ online communication and self-disclosure the study included The Problematic Social Networks Use Scale (Sirota N.A, et al, ). Due to the scale results two groups were determined and compared: and  teenagers with low and high levels of problematic use, accordingly. The study fi xed that girls as well as teenagers from one-parent or troubled families are more likely to use social media problematically. The data demonstrate that the majority of adolescents comply with ethical norms of behavior while using social networks. However, violations of moral principles are more common among adolescents with a high level of problematic social media use. They practice obscene language and offensive jokes twice as actively. They are more likely to become victims to online derogatory actions and abuse. More than a half of them experience negative emotions (anger, irritation, pain and annoyance) when they are criticized. At the same time, a third of them listen to the opinions of others and try to work at themselves.
CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric

Detecting visually similar images is a particularly useful attribute to look to when calculating product recommendations. Embedding similarity, which utilizes pre-trained computer vision models to extract high-level image features, has demonstrated remarkable efficacy in identifying images with similar compositions. However, there is a lack of methods for evaluating the embeddings generated by these models, as conventional loss and performance metrics do not adequately capture their performance in image similarity search tasks. In this paper, we evaluate the viability of the image embeddings from numerous pre-trained computer vision models using a novel approach named CorrEmbed. Our approach computes the correlation between distances in image embeddings and distances in human-generated tag vectors. We extensively evaluate numerous pre-trained Torchvision models using this metric, revealing an intuitive relationship of linear scaling between ImageNet1k accuracy scores and tag-correlation scores. Importantly, our method also identifies deviations from this pattern, providing insights into how different models capture high-level image features. By offering a robust performance evaluation of these pre-trained models, CorrEmbed serves as a valuable tool for researchers and practitioners seeking to develop effective, data-driven approaches to similar item recommendations in fashion retail. All code and experiments are openly available at https://github.com/cair/CorrEmbed_Evaluating_Pre-train ed_Model_Efficacy/tree/main .
Data Processing

Data manipulation includes a wide range of actions, far more than can be adequately covered in a single chapter. However, most actions are just the application of techniques already covered in earlier chapters. Arrays are a basic data structure, and although the syntax was covered in Chapter 5 and they were used in the fifteen puzzle code in Chapter 11 , we haven’t yet explored their uses. Parameter expansion has been used in several chapters, but its application to parsing data structures has not been discussed.
OPERATING WITH THE RELATIONS OF OPPOSITES BY - YEAR-OLD CHILDREN: A LONGITUDINAL STUDY

The preschoolers’ ability to operate with relations of opposites is associated with creative abilities, understanding the conservation processes as well as with confl ict resolution. This study was carried out in line with the structural-dialectical approach, in which operating with the relations of opposites is a key aspect for performing dialectical mental actions. The development of formal-logical operations in children was also monitored. It was assumed that operating with the relations of opposites by children could be associated with such actions as seriation and mediation. Seriation, according to Piaget, is the primary reality that allows one to think in terms of relationships. Earlier studies showed that children are able to overcome opposite relationships and perform an act of mediation. In total  children aged -, - and - years participated in the study of dialectical actions. Techniques included “Drawing an unusual tree”, “What can be both at the same time?”, and “Cycles”. While  children took part in the formal-logical thinking study in which J. Piaget’s tests “Probability”, “Scales”, and “ Mechanical curve” were used. Preschool age is sensitive to the development of the operation with the opposites via formal and dialectical mental actions (such as transformation, seriation, mediation). The ability to perform mediation (i.e., to fi nd a single object that has two opposites present) is formed already at the age of - and is closely related to overcoming opposites based on the developmental processes understanding at the age of -. A positive correlation was discovered between children’s understanding of formal multiplicative spatial relations (the ability to coordinate two differently directed movements to create a single image) and operating with the relations of opposites via mediation.
Kubernetes Storage System

In the previous chapter, we discussed Kubernetes networking, and in this chapter, we will go into detail about the Kubernetes storage system.
Securitizing COVID-19 in an Environment of Low Political Trust

Securitization was a common practice of governments during the first phases of the COVID-19 outbreak. To successfully securitize a pandemic, a government has to convince its citizens of the magnitude of the threat. Trusted governments should be able to do this more effectively than untrusted ones. Hong Kong, our case study, is unique because the government managed to control the pandemic in a context of extremely low political trust. This paper examines the extent to which trust in the government and smart technologies influenced the securitization and management of the COVID-19 pandemic in Hong Kong. The results of this study suggest that under certain circumstances governments can successfully manage a health emergency even when they do not enjoy much political trust.
Global-Local Association Discrepancy for Multivariate Time Series Anomaly Detection in IIoT

Detecting anomalies in multivariate time series (MTS) data collected from industrial Internet of Things (IIoT) systems is essential for a variety of applications, including smart manufacturing. Existing methods typically learn local spatiotemporal representations from nearby time points and neighboring nodes to reconstruct or predict sensor data. However, these local representations are insufficient to model the complex nonlinear topological relationships and dynamic temporal patterns of IIoT systems, which often results in a high false alarm rate. To address this issue, we propose a new MTS anomaly detection framework called GLAD, which is based on the global-local association discrepancy. The key concept is to detect anomalies based on the difference between the global and local spatiotemporal associations of each data sample, as the association distribution of each data sample provides a more informative description. Specifically, we introduce a Gumbel-Softmax-based graph structure learning strategy to capture the global topological connections from data. Based on the topological graph structure, we utilize a graph attention network (GAT) and transformer to extract both the global and local spatiotemporal associations of each data sample. Finally, we leverage the global-local association discrepancy to effectively detect anomalies from normal data samples. Extensive experiments on five real-world datasets demonstrate the superiority of GLAD over other state-of-the-art methods.
Empowering Change: An Advanced NGO Management System for Efficient Operations, Enhanced Donor Engagement, and Transparent Community Development

This paper proposes solution to handle complex societal concerns, including social welfare, environmental preservation, and humanitarian aid, non-governmental organisations (NGOs) are essential players. Realising an NGO's objective requires effective administration of its many facets of operations, including donor connections, project tracking, volunteer coordination, and event planning. This article introduces the "An Advanced NGO Management System for Efficient Operations, Enhanced Donor Engagement, and Transparent Community Development" a powerful web-based tool designed to streamline NGOs' administrative procedures while promoting accountability and openness. In a world with constantly changing difficulties, NGOs need adaptive and user-friendly tools to successfully manage their range of activities. This system has been painstakingly designed to deliver a dynamic and adaptable online application that responds to the complex needs of NGOs and their stakeholders by utilising the power of Java Servlets technology. The NGO Management System functions as a central hub for the comprehensive management of NGO operations, enhancing their overall impact and contribution to the betterment of society.
Tracking People Using Face Recognition

In recent years, face recognition has emerged as an active field within computer vision, driven by potential applications and the parallel development of algorithmic techniques alongside the increasing availability of cost-effective computers with sufficient computational power to support these algorithms. As a biometric information process, a face recognition system offers wider applicability and operational range compared to other biometric methods such as fingerprinting, iris scanning, or signature recognition. The system employs a blend of methodologies across two primary domains: face detection and recognition. Face detection is executed on real-time images without a specific application context in mind. Processes involved in the system encompass white balance correction, segmentation of skin-like regions, extraction of facial features, and the extraction of face images from a face candidate. The integration of a face classification method utilizing a Feedforward Neural Network is a key component of the system. The system's performance is evaluated using a database containing 10 individuals with 20 to 30 photos of each person.
Reform Strategies for Higher Education Management in Collaborative Education

Collaborative education focuses on cross-department and cross-level cooperation to create a multi-dimensional student growth environment. This article mainly explores the significance of higher education management in the context of collaborative education, analyzes existing problems in higher education management, and proposes reform strategies for higher education management in the context of collaborative education, including resource integration, transformation of educational concepts, strengthening of process management, and improvement of relevant laws and policies. These are expected to provide practical guidance and suggestions for modern university education management.
Analysis of Common Mistakes in English Abstract Writing of Scientific and Technological Papers: A Case Study of Automotive Practical Technology

Abstract is the epitome of the core idea of a journal paper. Excellent English abstract plays an important role in ensuring the quality of the paper and promoting its academic value in international exchanges. However, there are still many problems in the English abstracts of many papers published in academic journals. This paper analyzes and summarizes the grammatical errors of articles, singular and plural nouns, predicate verbs, conjunctions, Chinglish from other English abstracts of some papers in a vehicle engineering academic journal retrieved from CNCN.cn, and then corrects them. It is expected to provide some guidance for editors, academic workers, and engineering students in writing papers.
Sistem Pendukung Keputusan Penilaian Siswa Menggunakan Metode Simple Additive Weighting Berbasis Framework Laravel

The assessment of student learning outcomes is a mandatory process in educational institutions, whether they are formal or non-formal, with the aim of monitoring and evaluating student progress during the learning process. With the advancement of technology, there are many processes that can be integrated with information technology to simplify existing procedures. The purpose of this research is to facilitate schools in making decisions regarding the results of the learning assessment process by using predefined attributes. The attributes used as reference for consideration are assignments, mid-term exams (UTS), and final exams (UAS). Therefore, this study is built using the SAW method and the PHP programming language supported by the Laravel framework. The output of this research is an information system that supports decision-making in assessing student learning outcomes in the form of subject rankings and provides transparency and convenience for students to access their grades or the final results of the student learning assessment process.
Artificial Intelligence and Its Impact on Accounting Systems

The current research provides a brief background about artificial intelligence (AI) on accounting systems, advantages, and disadvantages of artificial intelligence (AI), impact of artificial intelligence on accounting systems, historical of AI, artificial intelligence (AI) in Bahrain, and some case studies of successful implementation of artificial intelligence (AI) will be discussed as well.