Reviewerly/exHarmony huggingface dataset:
Current Status and Utilization of School Meditation Program Research

국내 청소년기 학생들의 우울감과 자살률은 올라가고 있다. 이런 상황 속에서 청소년을 대상으로 연구한 명상 프로그램에 대한 효과는 증명되고 있으나, 명상 프로그램이 학교 현장에서 어떻게 활용되고 있는지에 대한 데이터는 부족한 상황이다. 따라서 본 연구에서는 다음과 같은 내용을 분석·조사를 하였다. 첫째, 논문 분석을 위해 별도의 선별 과정을 거쳐 2010년부터 2022년까지의 초·중·고등학생을 대상으로 연구한 논문 25편을 선정하여 분석하였다. 선정한 논문을 대상으로 활용한 명상의 종류, 근거한 명상 이론 및 프로그램, 성과 변인으로 나누어 표로 정리하였다. 분석 결과 명상의 종류로는 호흡명상이 25편의 연구 중 21편(84%)으로 가장 많았으며, 근거한 명상 이론 및 프로그램은 ‘MBSR 및 마음챙김 기반 프로그램’이 13편(52%)으로 가장 많이 연구되었다. 성과 변인은 MBSR 및 마음챙김을 기반으로 한 논문 13개 모두에서 사회·정서 영역이 포함되었다. 둘째, 학교 명상의 실태를 분석하기 위해서 H시 관내의 초·중·고등학교 중 47개교에 구글 폼을 활용해 설문 조사를 실시하였다. 조사한 결과 학교 현장에서는 47개의 학교 중 13개교(27.7%)에서 명상을 활용하고 있었다. 분석 결과, 전문상담인력이 있는 학교일수록 명상을 많이 활용하는 것으로 나타났다. H시에서 전문상담 인력이 배치된 학교 25개교 중 명상을 활용한 학교는 12개교(48%)이며, 전문상담 인력이 배치되지 않은 학교 22개교 중 명상을 활용한 학교는 1개교(0.45%)에 불과했다. 그러나 설문 조사 시 전문상담 인력이 없는 학교의 경우에 진로상담교사나 임의로 선정된 교사에게 설문조사를 하였기 때문에 결과가 누락되었을 가능성이 존재한다. 따라서 해석을 조심스럽게 할 필요가 있다. 끝으로, 본 연구는 학교 명상 프로그램 연구의 현황과 실제적인 학교 명상의 활용실태를 알아보고자 하였다. 본 연구가 학교 현장에서 적합한 명상 프로그램을 정하고 실시하는 데 도움이 되었으면 한다.Depression and the rate of suicide of Korean adolescents are increasing. In this situation, the effectiveness of meditation programs about teens is being proved; however, the data on how this meditation program is used is lacking. Thus, this study is about the result of the following analysis and research. First, in order to analyze this study, 25 reports targeting elementary, middle, and high school students from 2010 to 2022 were selected and analyzed. A chart was created by dividing it into the kinds of meditation, based theories and programs, sexes and other variables. As a result of the analysis, breathing meditation took the first place(85%) among the kinds of meditation. MBSR and mindfulness programs are the most researched theories and programs(52%). As performance variables, Social and Emotional factors are included in 13 reports based on MBSR and mindfulness. Second, so as to find out the reality of school meditation, a Google survey was conducted on forty-seven elementary, middle, and high schools in H city. As a result, thirteen out of the forty-seven schools are using meditation. In addition, the more professional counselors a school has, the more mediation they use. Twelve of twenty-five schools with professional counselors are using meditation, and only one of twenty-two schools without professional counselors is using meditation. But there is a possibility that the result will be different because the survey was conducted on career teachers and other teachers in case there was not a professional counselor at school. Therefore, it is necessary to interpret this study carefully. Lastly, this study is about the actual state of school meditation program studies and the actual application of school meditation. It is hoped that this study will be helpful for determining and implementing meditation programs suitable for school situations.
Kim Dong-sam and The National Representative Conference

The Provisional Government of the Republic of Korea was born as a result of the March 1st Revolution in 1919. However, as various problems were revealed, a view to find a solution emerged. As a result, from January 3 to June 7, 1923, the National Representative Conference was held in Shanghai attended by 125 delegates. The two lines collided. Reformation theory that recognized the Provisional Government and extensive reforms, and Creationism that the Provisional Government should be dissolved and reorganized. Kim Dongsam, a reformist, was elected as the chairman, and Yoon Hae, a creationist, was elected as the vice-chairman.&#x0D; At the National Representative Conference, the Reform faction had a numerical superiority. However, the Creationists prevented the reform agenda from being adopted in a way that hindered the progress of the conference. On May 15, when Kim Dong-sam was recalled from Manchuria's West Road Military Administration and the Korean People's Club, which dispatched Kim Dong-sam, Kim Dong-sam resigned as chairman. Vice Chairman Yoon Hae became the chairman. On June 7, only the Creationists got together and passed a new constitution, but it was an agreement of their own faction. The Conference was held by the consensus of the entire nation, ended without any results. However, it was an event worthy of becoming a milestone in Korean democracy in that representatives of the entire nation gathered to discuss the future of the nation.
APLIKASI MOBILE MONITORING KEHADIRAN SISWA MENGGUNAKAN TEKNOLOGI QUICK RESPONSE

Attendance is an important part of every educational institution. Where attendance is one of the main supports that can support and motivate every activity carried out in it. Schools are educational institutions designed for student instruction under the supervision of teachers. Most countries have a formal education system, which is generally mandatory, as well as attendance at SMK Negeri 5 Gorontalo which still uses a manual method (signature), this method is very vulnerable for an educational institution because the level of discipline that cannot be controlled and can be misused by irresponsible people, another disadvantage that may arise in the manual attendance system is data recapitulation which still takes a lot of time and effort. Another disadvantage, parents of students cannot find out about their son's attendance at school so it is considered less effective and efficient. For this reason, the purpose of this research is to create and design an information system for monitoring student attendance using an android-based QR Code at SMK 5 Gorontalo so that it can make it easier for parents to monitor attendance. This application is designed using java programming language software, namely Android Studio, for PHP programming language using Dreamwever software, and for data storage using Mysql, as well as a tool for modeling using UML (Unified Modeling Language).
Penerapan Metode Simple Multi Attribute Rating Technique (SMART) Untuk Seleksi Penerimaan Bantuan Usaha Produktif

Productive business assistance is assistance provided to improve business capabilities, depending on the type of business being running. The goal is to develop work productivity and also increase income. As for the distribution of productive business assistance at BAZNAS Pekanbaru City, it still uses an old system and is not yet effective, so the process takes quite a long process. In order for the selection process to be effective, a decision system was created for the alternative of recipients of productive business assistance. The method in this research using the simple multi attribute rating technique (SMART) method. This research uses 6 criteria and 22 sub-criteria. The application is build with using PHP and MySQL programming languages. The results of the application of the SMART method which has been tested on 10 sample recipients obtained the order of the highest value to the smallest. With the highest value is 0.75. This system has been tested using the Blackbox testing method and the user acceptance test (UAT) with an assessment final value is 94.4%.
Model Sequential Resnet50 Untuk Pengenalan Tulisan Tangan Aksara Arab

Research for Arabic handwriting recognition is still limited. The number of public datasets regarding Arabic script is still limited for this type of public dataset. Therefore, each study usually uses its dataset to conduct research. However, recently public datasets have become available and become research opportunities to compare methods with the same dataset. This study aimed to determine the implementation of the transfer learning model with the best accuracy for handwriting recognition in Arabic script. The results of the experiment using ResNet50 are as follows: training accuracy is 91.63%, validation accuracy is 91.82%, and the testing accuracy is 95.03%.
THE IMPACT OF FOREIGN INVESTMENT ON THE LEVEL OF EDUCATION IN EAST ASIA

This article examines the impact of foreign direct investment on the effectiveness of education in 8 developing countries of East Asia for these days. However, econometric analysis examined the positive impact of the volume of investment attracted in these countries on educational achievement.
Android-based Information System for Domestic Violence Complaints at P2TP2A Institution in Boalemo Regency

The Integrated Service Center for Women and Children Empowerment (P2TP2A) in Boalemo Regency is an institution that provides services to the community in cases of Domestic Violence (KDRT). The issue that arises is the lack of public knowledge about KDRT and its handling. It is important to continuously educate the community about the negative consequences of domestic violence and the importance of supporting victims and preventing such violence. With increased awareness and community participation, it is hoped that domestic violence can be minimized and eliminated, creating a safe and harmonious environment for all family members. Cases of KDRT continue to occur without being realized by the community and are rarely reported to the Center for Domestic Violence Services (PLKB) due to a lack of information on how to report KDRT cases to the PLKB. Most people feel that the complaint service is limited to reporting without any follow-up process. The research objective is to design an information system that provides information about KDRT as a means of socialization to the community and assists the community in reporting KDRT cases easily and flexibly through Android smartphones. The system analysis method used in this research is the Research and Development (R&amp;D) method, which aims to produce a specific product and test its effectiveness. This application is developed using Java and PHP programming languages, with MySQL as the database for data storage. The system utilizes web service techniques to retrieve data from the server. The result of this research is an application of an information system that facilitates the presentation of information about KDRT through Android smartphones, equipped with online reporting features, and can map the location of the reporter to facilitate follow-up actions by the PLKB. The calculation results show that the Cyclomatic Complexity (CC) = 2 and V (G) = 2, indicating that the system is effective and efficient. The system implementation can be done on Android version 10.0 (Q), version 9.0 (Pie), and version 8.0 (Oreo).
Sistem Pakar Diagnosa Gizi Buruk Pada Balita Berbasis Mobile Menggunakan Metode Certainty Factor

Maltnutrition has a significant impact on children’s development and is a common problem in developing countries, including Indonesia. There are many factors that contribute to malnutrition, one of which is the lack of understanding and knowledge among parents regarding childcare and proper nutrition. This has motivated the author to develop an expert system application for diagnosing malnutrition in toddlers, aiming to facilitate the community, especially mothers with toddlers, in early diagnosis of malnutrition symptoms and diseases through mobile devices. This expert system application is built using Java Programming language with the assistance of Android studio as the development tool. The system analysis employed is the Unified Modeling Language (UML) to provide an overview of the application to be created. Testing is conducted using the Black Box method and data validation yields nearly 100% accuracy. The calculation for diagnosing symptoms and diseases utilizes the Certainty Factor methode, which serves as the calculation of value within the expert system application. The testing results based on symptoms and diseases through the applied calculation method achieve a 92% accuracy rate. The development of this application is expected to assist the community, especially mothers with toddlers, in identifying early symptoms and diseases of malnutrition in children, as well as obtaining solutions for the experienced illnesses.
Implementasi Teorema Bayes Pada Sistem Informasi Posyandu Dalam Mendeteksi Stunting Pada Balita

Abstract–The management of posyandu data in Majegan Village is still carried out manually. This causes health monitoring to be not optimal, especially in detecting stunting in toddlers. One of the efforts to overcome this problem is to provide a posyandu information system that can make it easier for posyandu officers to record and analyze fetal growth until toddlerhood and can detect symptoms of stunting. Through the implementation of Bayes' theorem in a web-based application, stunting symptoms can be observed earlier. Bayes' theorem calculates the values of the symptoms experienced by toddlers so as to obtain the results of probability numbers that can be used to predict stunting in toddlers. System design uses the waterfall method which goes through the stages of SDLC (System Development Life Cycle). After the system was developed, to test the quality of the application and the accuracy of naïve bayes in predicting stunting, two types of testing were carried out, namely black box testing and system usability testing (SUS). The black box test results show that the application functionality runs well with an error percentage of 0%, while the SUS test results show that the application has a usability level at Level B which means the application can be used and help users. Meanwhile, the results of the prediction of naïve bayes produced the model with the highest prediction of 60%.
QUALITY OF EDUCATION MANAGEMENT IN THE DEVELOPMENT OF HIGHER EDUCATION

In this article, the role of the quality of education in our country in the economy of the country, the prospects for the application of Quality Management in education, the views of foreign scientists in this regard, scientific and theoretical conclusions, opinions were analyzed. Positive aspects of the use of Quality Management in higher education have been cited. Problems in the application of quality management were studied and scientifically based conclusions and suggestions were made.
Education Representation of Female Santri in Pesantren Literature in Indonesia

This study aims to discuss access to education and self-development of female santri in three different novels (pesantren literature) by female authors. The research method used is qualitative with a heurmenetic phenomenological approach. The research data is in the form of words, sentences, and paragraphs which are identified about the opportunities for female students to access and develop themselves in the world of education. Data analysis through a holistic, selection and detailed approach. The results of her research are that female santri in the novel "Hati Suhita" experience restrictions in choosing a field of knowledge, but this is not a reason for not being able to express herself so she willingly accepts it, in the novel "Dua Barista" female santri are given freedom in accessing education in fields that he likes and self-development in the world of fashion, and female santri the novel "Perempuan Berkalung Surban" limits access to education, especially in the general field and self-development. The description of female santri in terms of access to education and self-development varies. Even though the female authors have the same background, namely having studied at Islamic boarding schools, this indicates a different view on the role and position of female santri in the Islamic boarding school culture.
Investigating Perceived Security and Usability of Secure Shield: An Advanced Multi-Factor Authentication System - A Survey

The multi-step multi-factor authentication (MFA) procedure for logging into an account demands more information from users to authenticate the users. The paper presents a comprehensive literature review and analysis of Secure Shield, an advanced multi-factor authentication system that incorporates facial recognition and momentum. Here we explore the effectiveness of multi-factor authentication in enhancing online security and address the limitations of traditional password-based systems. Facial recognition offers a convenient and robust biometric authentication factor, while the addition of momentum adds an extra layer of security by capturing facial movements. The discussion section highlights the implications of these findings for online security and suggests further research directions. Overall, this paper contributes to the understanding of Secure Shield as an advanced multi-factor authentication system, highlighting its potential in strengthening online security and mitigating risks associated with traditional password-based systems.
Exploring Factors Contributing to Students’ Willingness to Communicate in English Class at The 11th Grade of Ma Nurul Islam Dasan Baru Murbaya Village Pringgarata Sub-District in The Academic Year 2022/2023

This research is aimed to find out the students’ willingness to communicate (WTC) in English class, and unveil the factors that contribute to students’ willingness to communicate (WTC) in English class. This research implemented qualitative descriptive method by conducting observation and interview. The informants were the 11th grade students at MA Nurul Islam Dasan Baru. The findings showed that most students have medium willingness to communicate in English class. Meanwhile, less of them have high willingness to communicate in English class. Furthermore, the researcher found some factors contributing to students’ willingness to communicate (WTC), namely psychological factors and situational factors. Psychological factors include self-confidence, perceive communicate competence, learning anxiety, motivation, and personality. Meanwhile, situational factors include effect of task, effect of topics, teacher role, interlocutor, and classroom atmosphere.
Customisable Processing of Neural Networks for FPGAs

When implementing neural networks on FPGAs, existing methods for resource optimisation are closely tied to the design and performance of the neural network itself. We wish to independently control the individual Processing Elements (PEs) responsible for processing neural network data. We introduce a new framework that more stringently defines neural networks as a series of successive layers. By isolating layers, we can create stand-alone compute pools to process each layer, with an initial focus on activation functions. A pool with P PEs serves the N neurons of that layer, with the entire compute pool, not individual PEs, charged with performing the activation function. This means the number of PEs in a layer, their implementation, functionality, and range of inputs they serve can all be configured and specialised independently of the higher-level neural network. We can now tailor a neural network’s implementation to specific FPGA devices, adding PEs to make use of all the heterogeneous processing elements present on the FPGA. In addition to customising the resource footprint of a neural network, this greater range of control over each PE’s functionality allows performance optimisations arising from the distribution of the input data itself. More PEs can be added to the compute pool to serve more common inputs, or removed for less used inputs to free up resources. We manage inter-layer data flow to support non-deterministic processing times, a key requirement for de-coupling the design of neural networks from that of the underlying PEs. We demonstrate our framework by showing (1) large PEs can be efficiently segmented into many smaller PEs, (2) latency reduction of 1.47x or greater is achievable for activation function layers in existing neural networks, and (3) that PEs serving more than 50% of all possible function inputs see vastly diminishing returns on performance as they scale to the more traditional 100% support.
A Cluster enabled Blockchain-based Data management for IoT systems

Internet of Things a flourishing societal luxury has seen massive evolutionary trends that have revolutionized the need for secure and competent data management schemes. Data Privacy, trust, and security in the IoT environment are essential matters that need confronting, especially when gathered data is prone to malicious attacks or activities. Moreso, latency requirements that rise exponentially with each added device necessitate effective management in order to meet expected Quality of Service standards. Blockchain-based IoT, a paradigm that decentralizes IoT’s topology has earned growing popularity over the years owing to its versatility, however, most works on Blockchain-based IoT focus on perspectives such as digital currencies, consensus algorithms, and smart contracts, with very few delving into Blockchain’s role in data management. Therefore, to solve the above-mentioned problems, this study proposes a three-tiered scheme, incorporating aspects of clustering, Edge-Computing, and Blockchain, that focuses on data management mechanism of the Blockchain architecture and data structure. The three-tiered framework aims to provide a decentralised, secure resource optimization and data management mechanism for IoT systems that includes permissioned authentication protocol for all nodes of contention, smart contract generation between permissioned nodes, immutable block transactions and node deployment, not limited or bound by a singular node. The first phase of the methodology presenting the framework paves way for the second phase of the methodology which evaluates and analyses the proposed scheme, thus illustrating how clustering, blockchain and edge computing bring about an efficient paradigm for tamper-resistant data management with improved latency and high-level credibility and security suitable for IoT systems.
Thesis Report: Evolutionary Optimization of Decision Trees for Interpretable Reinforcement Learning

This thesis focuses on the issue of interpretability in machine learning, proposing algorithms to evolve decision trees (DTs) for reinforcement learning (RL) tasks. The dissertation is available at the following link: https://iris.unitn.it/handle/11572/375447.
Performance Modelling of Graph Neural Networks

Recent years have witnessed a rapid rise in the popularity of Graph Neural Networks (GNNs) that address a wide variety of domains using different architectures. However, as relevant graph datasets become diverse in size, sparsity and features, it becomes important to quantify the effect of different graph properties on the training time for different GNN architectures. This will allow us to design compute-aware GNN architectures for specific problems, and further extend this for distributed training. In this paper, we formulate the calculation of the Floating Point Operations (FLOPs) required for a single forward pass through layers of a GNN. We report the analytical calculations for GraphConv and GraphSAGE models and compare against their profiling results for 10 graphs with varying properties. We observe that there is a strong correlation between our theoretical expectation of the number of FLOPs and the experimental execution time for a forward pass.
Segmentation of Brain Tumor using Multiple Threshold Technique

Radiology use medical imaging techniques to comprehend the structure and physiological functions of the body in bothhealthy and diseased subjects. A non-invasive method for viewing internal body structures can be performed by using magneticresonance imaging (MRI). MRI characterizes soft tissue more accurately than other imaging methods like CT. In the currentstudy, space-occupying lesions are visualized using MRI imaging. Slices of MRI data are used to analyze lesions. Single sliceanalysis is inappropriate to determine the lesion’s size and volume. Hence, the MRI sequence is used to segment the lesions.Following segmentation, we view the MRI 2D image in 3D to look for lesions, or aberrant tissue, in the brain. The lesion isthen visualized by performing clipping. This research suggests segmenting brain tumors automatically and even provides a3D visualization for a more thorough study. Here, a space-occupying lesion is segmented from a T2 weighted Flair sequenceof MR images in DICOM format, and by employing the segmented volume, 3D rendering and clipping are made possible