Reviewerly/exHarmony huggingface dataset:
Implementasi Metode Simple Additive Weighting (SAW) dalam Pemilihan Sekolah Ramah Anak

Child-Friendly School is a program aimed at achieving safe, clean, healthy, caring, and environmentally conscious conditions that ensure the fulfillment of children's rights and protection from violence, discrimination, and other forms of mistreatment while they are in educational institutions. It also supports children's participation, particularly in planning, policies, learning, and supervision. One of the objectives of developing the Child-Friendly School Policy is to fulfill, guarantee, and protect children's rights, as well as to ensure that educational institutions can develop children's interests, talents, and abilities, and prepare them to be responsible for a tolerant, respectful, collaborative life for progress and a spirit of peace.&#x0D; The research aims to design a Web-based Decision Support System for Selecting Child-Friendly Schools in the Education Office of Gorontalo City using the Simple Additive Weighting (SAW) method. The research adopts the Waterfall method as the research approach and conducts Whitebox and Blackbox testing for the system. The research findings indicate that the system can facilitate schools applying for child-friendly school certification from the Education Office of Gorontalo City. It provides a transparent ranking output based on the assessment of predetermined criteria weights. The system can perform quick, accurate, and precise weighting calculations using the SAW decision support method, and it provides information on the suitability status based on the weight values derived from the matrix summation after the 'SAW method' button is processed
Model Aplikasi Human Resource Management Sistem (HRIS) Dengan Framework UniGui

This research aims to build a Human Resource Information System of PT. XYZ will manage existing human resources, starting from the process of managing employee data, employee attendance, employee leave, employee permits, employee overtime and employee training history. This research uses a qualitative approach with an exploratory case study methodology by focusing research on the design of the Human Resources Information System (HRIS). The system development method used is waterfall. The analysis and design tools used are Unified Modelling Language (UML) using Usecase Diagrams and Class Diagrams. The programming language used is Delphi with the unuGUI framework and databases using SQL Server. This research successfully designed and built a Human Resource System (HRIS) Application and has been tested using Blackbox testing. The benefits of this application can make it easier for companies to manage employee data data, employee attendance, employee leave, employee permits, employee overtime and employee training history, and make it easier for companies to adapt to remote working and Work From Anyware (WFA) culture
Game Edukasi Bahasa Sumbawa Indonesia Untuk Anak Usia Dini Berbasis Android

The Android-based Sumbawa Early Childhood Education Game was successfully built using Adobe Illustrator for graphic design, Unity for the game engine, and Visual Study Code as a text editor. This educational game has two main menus, namely the learning menu with nine sub-category menus and the second main menu, namely the quiz menu. Games that are designed with attractive images and interactive audio are built using prototype software development methods and application testing using black boxes. Based on the results of application testing, all the features contained in the application run well and according to their functions. Interactive applications such as educational games are a means that can be optimized to improve children's motor development. Thus, this Sumbawa Indonesian learning educational game can be a means for parents to introduce Sumbawa language to children and become an interactive learning tool for teachers to students at school. Therefore, having an Android-based Sumbawa Indonesian educational game for early childhood is one way to introduce and preserve the local language
Design and Development of School Credit Bank System Based on Blockchain Technology

The school credit bank system refers to a system that collects, stores and manages students' academic performance and credits. It allows students to transfer credits between different educational institutions and training institutions, providing convenience for lifelong learning and career development. In China, the concept of school credit banks is also gradually being promoted and practiced, especially in the fields of higher education and vocational education. Various regions and educational institutions at all levels are exploring credit bank models suitable for their regions and institutions. However, the traditional school credit bank system has problems with data security, reliability, and authenticity. Blockchain technology has the characteristics of high reliability, traceability, non-tampering, and decentralization. Therefore, we propose to build a school credit bank system based on blockchain technology. Experiments and facts prove that our blockchain-based credit banking system is more transparent, efficient and secure.
Decoding the Black Box through a Comparative Study on Clustering Features in Convolutional Neural Networks

Over the years, as Convolutional Neural Networks (CNNs) have revolutionized the field of image processing by achieving state-of-the-art results, questions on their internal working mechanics have arisen. As of this moment in time, the internal workings of CNNs remain a “black box”, making it challenging to grasp and understand their decision-making processes. This study aims to unveil the mysteries of the black box by exploring how images are represented within CNNs. Accomplished with the TinyImageNet Data and VGG16 architecture, we extracted features from the penultimate layer and utilized K-means clustering to group the features. Through these clusters, we were able to uncover meaningful patterns and similarities among a vast amount of images, gaining insight into the internal mechanics of CNNs and the features they prioritize. Although parameters were adjusted to accommodate the purpose of understanding CNNs, a comparative analysis with other clustering methods is conducted to reveal more information about their efficacy and mechanics. This study has not only revealed more information about the internal workings of CNNs, but it also hopes to open the gates to more interpretable deep learning models in the future.
Accuracy and Fluency of High-frequency COVID-19 Words Translated by Three Machine Translation(MT) Tools

This study aims to investigate accuracy and fluency of COVID-19 words generated by the three MT tools, namely, Google Translate, Baidu Translate and DeepL Translator. Data analysis is done through human evaluation toward translation texts by using a translation rubric at the word, sentence and paragraph level. To ensure the credibility of translation texts analysis, ten raters are involved to analyse the translation texts at sentence and paragraph levels. It is found that the three machine translation tools can maintain a high accuracy rate in the translation of simple words and short sentences, but the collection of new words is relatively slow and the translation of longer sentences or paragraphs is not adequate and fluent enough. Further, there are language problems such as grammar and logical coherence.
Research on the Innovation of Software Framework Technology Application Teaching Mode Based on Employment Orientation

In order to meet the demand of enterprises for talents in the field of software development, the teaching mode of software framework technology application course needs to be innovative, so as to improve the employment rate of college students. According to the current teaching mode of software framework technology application, the problems encountered in the teaching of this course are analyzed. Innovative teaching mode methods such as improving the leading course, "project-oriented" teaching tasks, school-enterprise cooperation, timely updating of teaching materials, establishing teaching resource database, and defense assessment are put forward. The innovative reform of the curriculum indicates that the new teaching mode improves students' interest in learning, improves students' ability to study independently, analyze and solve problems, and communicate, and thus increases the employment rate of college students.
Research on Strategies for Improving the Scientific Research Ability of Teachers in Vocational Colleges

In the construction process of vocational colleges, teachers' scientific research ability plays a positive role as a prerequisite for enhancing the comprehensive competitiveness of the college. At present, there is a general lack of scientific research awareness among vocational teachers in China; Lack of service in the development of scientific research work; There are issues such as weak scientific research foundation, insufficient innovation ability, and lack of collaboration in the construction of scientific research teams. In order to effectively improve the scientific research ability of vocational teachers and enhance the scientific research level of vocational colleges, by analyzing the influencing factors of vocational teachers' scientific research ability, the education regulatory department and vocational colleges should raise their awareness of the importance of scientific research work; Refine top-level design and improve management systems; Deepen the integration of industry and education, and build an innovation platform; By coordinating resources integration and establishing research incentive mechanisms between government and school, we continuously adjust the structure and strengthen functions to achieve high-quality development of vocational education in China.
Research on Human Action Analysis and Recognition Methods Based on Deep Learning

With the vigorous development of the Internet and multimedia technology and the large-scale popularization of video capture devices such as smartphones and surveillance cameras, video data has shown explosive growth. The goal of action recognition is to recognize the action being performed by the human in a video. As a basic but extremely challenging task in computer vision, it has a broad application prospect in many fields, such as human-machine interaction, virtual reality, intelligent video surveillance, and social public security. In this paper, human action analysis and recognition methods based on deep learning are summarized, and several prevailing action recognition algorithms are introduced and categorized in detail. Different from the traditional classification methods, we survey the currently popular algorithms into 2 series from the perspective of feature fusion: 2D convolutional series based action recognition algorithms and 3D convolutional series based action recognition algorithms.
Analysis of Educational Management and Innovation Strategy in Digital Age

In recent years, with the rapid development of modern information technology such as the Internet and artificial intelligence, we have quickly entered the digital era, and big data has penetrated into various industries in the society and gradually become an important production factor. In this context, China also proposed the integration of educational management and digital, and carried out the digital transformation of educational management. Centering on the general environment of digital change, based on the current situation of educational management in our country, this paper summarizes the development process of educational management informatization in our country in recent years, and tries to put forward innovative strategies for educational management in the digital era, including building a high-quality team, deepening data integration, and strengthening top-level design, hoping to help promote the sustainable development of educational management in our country in the digital era.
Practice and Research on the Construction of Online Course Resources for "Water Treatment Technology"

In response to the characteristics of students' online learning, the online course teaching team of "Water Treatment Technology" has focused on building course standards that meet the requirements of water treatment positions, teaching content that integrates "post course competition certification", supporting resources to improve teaching efficiency, and industry technology development case libraries. In the context of the development of information technology and the transformation of communication forms, online courses, as a product of the combination of the Internet and education, have broken the temporal and spatial boundaries of teaching and overturned the traditional methods of classroom teaching and learning. Their flexibility, sharing, and other characteristics are becoming increasingly prominent, especially in some general courses, their application value is more directly reflected.
The Mode Response of English Linguistics Online Teaching Based on the "Internet plus" Perspective

This paper discusses the online teaching mode of English linguistics based on the "Internet plus" perspective. This paper analyzes on the influence of the "Internet plus" perspective on English linguistics teaching, as well as the characteristics and advantages of online teaching, and probes into the present situation and development trend of the online teaching mode of English linguistics. On this basis, it proposes the design of online teaching mode of English linguistics based on the "Internet plus" perspective, including the construction of teaching content and resources, the selection of teaching methods and tools, the analysis of learners' needs and personalized teaching, and the design of interaction and feedback mechanism. In response to future development and challenges, strategies and suggestions are proposed to increase infrastructure construction, increase investment in teacher training and professional development, as well as home school cooperation, and cultivate students' autonomous learning and management abilities. This paper comprehensively discusses the online teaching mode of English linguistics from the perspective of "Internet plus", hoping to provide useful reference and guidance for teaching practice in related fields.
Respond to Weibo Comments While Incorporating the Sentiment Evolution Trend Depicted by a Sankey Chart

In the context of media public opinion becoming the determination of people's views and behaviors, the analysis and control of public opinion has become an important part of understanding the needs and demands of the public and maintaining the stability of the public mood. [1] This project aims to use the program algorithm to obtain the remarks related to the specified event in online social media (microblog), and analyze it through the algorithm, so as to provide a complete map of the development trend and tendency of public opinion events, and provide reference for the development and coping strategies under the current time node. In response to the comments on Weibo (Sichuan Middle School Incident), the program uses algorithms such as text detection, exception filtering, sorting, and self-designed and trained neural networks to automatically obtain information, establish subjects and time nodes, Analyze the proportion of different public opinion development tendencies and output them in the form of maps, reduce the expenditure of human resources, effectively reduce the emotional bias in the process of obtaining public opinion information, effectively and rationally analyze the tendency and evolution direction of public opinion, show the dynamic evolution process, and provide theoretical reference for response and governance.
Sistem Informasi Kepemudaan Kabupaten Sijunjung berbasis Web

The lack of information and data available at the Youth and Sports Tourism Office in the field of Youth and Sports makes it difficult for people to access information about youth. The data currently available is deemed inadequate because the data is only in the form of numbers, so the need for relevant, accurate, timely and integrated data and information to be presented to the public. For this reason, the development of a Web-Based Youth Information System is expected to facilitate related parties in meeting the data and information needs of the community. The development of this system is designed using the PHP, Javascript, CSS, and Jquery programming languages. While the model used in making this system uses the waterfall method. So that the system built can be utilized and useful for the Youth and Sports Office, researchers conduct direct observations in the field to collect the data and information needed and conduct direct interviews with the Youth and Sports Tourism Office to find out the form of the system needed.&#x0D; With the use of communication and information technology in the form of this website, it is hoped that it will facilitate the Sijunjung Regency Youth and Sports Tourism Office in providing accurate and precise information and data and encourage the creation of transparency in the administration of government.
The Historical Contribution of Lenin's Labor Education Thought

Lenin is the successor and development of Marxism. If Marx and Engels of labor education discussion more stay in theory level, then Lenin is closely linked with the Soviet Russia development, more targeted focus and realistic pertinence "education must serve the proletarian politics and socialist construction" the basic principle of marxist education thought. On the theoretical level, Lenin's labor education thought not only enriched and developed Marxism-Leninism, inherited the development of Marx and Engels' labor education thought, promoted the Russian revolution and construction of Russia, but also provided strength and practical experience reference for other socialist countries.
Penerapan Algoritma Stout Codes Untuk Kompresi Databases Pada Pinjaman Online

Along with the development of information and communication technology, the size of a data is sometimes relatively large where the better the quality of the resulting text file, the larger the file size needed to store the text file. With a very large text file size, during the transfer process, the transfer process may fail because the media storage space exceeds the limit. The solution to this problem is how the text file can be compressed in order to speed up the transfer and storage of text files. compression on text files is done by reducing the size of the text file by reducing the bits in the text file, but does not eliminate the information data in it. By compressing, large data will be reduced in size so that it can save storage space. In this study, the algorithm used is Stout codes, by using this algorithm, the compression results from the value of k have different results for each value, and the compression results will benefit in sending, and transferring text files will be easier
TWENTY-SEVENTH JUNIOR BALKAN MATHEMATICAL OLYMPIAD

Тhe paper includes problems from the team selection tests for the national team for JBMO 2023, as well as model solutions and short comments on the performance of the contestants. The materials included can be useful for the groups for preparation for junior high school math contests.
Real Time Energy Market for LV Distribution Networks in Smart Grid Using Blockchain Technology

This paper presents a novel blockchain-based approach for establishing a decentralized real-time energy market in low voltage (LV) distribution networks. As the integration of distributed energy resources (DERs) surges and efficient energy management becomes imperative, demand for a transparent marketplace grows. Blockchain ensures secure, peer-to-peer energy trading among prosumers via smart contracts, ensuring real-time transaction validation. Utilizing the Corda blockchain architecture, transaction data relevant to each node is stored, safeguarding privacy, confidentiality, and immutability. The developed user-friendly web interface enables users to initiate, modify, and accept proposals, granting them control over transactions and promoting overall efficiency. This approach fosters a sustainable energy ecosystem, encouraging clean energy adoption and grid efficiency, thus pioneering the way to a decentralized, efficient, real-time energy market.
Generating Photographic Face Images from Sketches: A Study of GAN-based Approaches

Generative Adversarial Networks (GANs) have attracted a lot of attention in recent years due to their potential to advance various fields. The high generative quality of GANs has been harnessed for creating photographic facial portraits from sketches in the field of computer vision. Given the increasing importance of computer vision, the ability to transform hand-drawn sketches into realistic facial images has emerged as a compelling area of research. This practical implication can contribute to diverse fields, including law enforcement, forensics, security, and expedited generation of authentic suspect photos in crime investigations. Despite the inherent lack of specific information in sketch images, the training process necessitates meticulously crafted hand sketches to yield accurate and high-quality results. This paper explores various approaches employed to address the challenges of translating facial sketches into photographic images, with a particular focus on GANs and their applications. The study aims to deliver a comprehensive analysis of state-of-the-art GAN-based methods for generating photographic faces from sketches. By offering a thorough overview of the strengths, methodologies, and advances in this field, this paper aims to pave the way for further advancements in the exciting area of sketch-to-photo face generation. Performance comparisons have been conducted among the different approaches in generating facial images from hand-drawn sketches, showcasing the effectiveness of several GAN architectures, each with a unique set of benefits and drawbacks.
Fast hypercomplex neural networks for modeling Venus planetary orbit

The goal of this contribution is to provide a unique method for simulating and forecasting planetary orbits by utilizing the hypercomplex neural networks (HNN) enhanced performance. The learning technique used by these structures is based on quaternion algebra, which reduces the number of epochs needed to reach an adequate level of approximation and the number of parameters needed to model the dataset. Additionally, we provide a method for anticipating the results of the learning phase by establishing appropriate hypercomplex auxiliary networks to forecast the trends of the network primary weights.
Implementation of CRYSTALS-Kyber Post-Quantum Algorithm Using RISC-V Processor

Post-Quantum Cryptography (PQC) has gained prominence due to advancements in computing, particularly quantum computing. As quantum computers pose a potential threat to traditional encryption algorithms, the development of PQC algorithms has gained momentum. CRYSTALS-Kyber is one such algorithm developed in this era. This paper presents an acceleration approach for the CRYSTALS-Kyber PQC algorithm using a RISC-V core, specifically the Ibex core. The acceleration strategy involves a three-pronged approach: analyzing code profiling results, incorporating custom hardware into the hardware architecture, and simulating the results. Notably, this work introduces an innovative approach to run and accelerate the CRYSTALS-Kyber algorithm using a core-only implementation, eliminating the other microcontroller hardware to reduce the used area.