Reviewerly/exHarmony huggingface dataset:
Study on the Development of Hearing Concentration Game to Prevent Cognitive Deterioration in the Elderly

The purpose of this study is to develop an auditory concentration game to prevent cognitive decline in the elderly. Previous studies have identified that hearing loss affects cognitive function due to the process of aging, and it has been confirmed that it is necessary to prevent this. Accordingly, based on Keller's (2013) ARCS model, an auditory concentration game was developed to prevent cognitive decline in the elderly with advice from two board game developers and an education expert. The auditory concentration game is, first, a card image and sound source that consider the emotions of the elderly with the goal of maintaining and improving cognitive function of the elderly. Through the auditory concentration game, interest and motivation for the prevention of cognitive decline were induced through the auditory concentration game, and the will to prevent dementia was promoted to improve cognitive function. Second, the stage of game development was reorganized into ideas and concept planning → category and mechanism → game rule production → game design and component production → game test five-step procedure, and it was produced with images and sound source considering the emotions of the elderly. Third, the sound source is significant in that it can be recorded in consideration of the emotions of the elderly and enjoyed various game methods, and can be applied to the cognitive program of the elderly by adjusting the difficulty of the game. Based on this study, the following studies are needed in subsequent studies. First, since it was developed as an auditory concentration game to prevent cognitive decline in the elderly, it is necessary to analyze whether it has an effect on the improvement of cognitive function. Second, it is necessary to analyze the correlation or difference because it was targeted at the entire elderly regardless of gender. Third, it is necessary to develop a specific instructional plan that can be used for the cognitive program of the elderly, and it is expected to be used as a cognitive program for the elderly such as senior citizen centers after supplementing and modifying the currently developed auditory concentration game to produce a complete game.
PROPIEDADES PSICOMÉTRICAS DEL CUESTIONARIO DE COMPETENCIAS DIGITALES EN ESTUDIANTES UNIVERSITARIOS PERUANOS

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THE IMPACT OF WORDS MAPPING TOWARD THE VOCABULARY MASTERY ON YOUNG LEARNERS AT MADRASAH IBTIDAIYAH MAUIZATUN HASANAH SCHOOL MUARO JAMBI

In this line the researcher tries to find some important points in this research which can be helpful in the future, the research objectives to be achieved is to find out whether there is Significant impact using words mapping towards vocabulary mastery on young learner at Madrasah Ibtidaiyah Mauizatun Hasanah School Muaro Jambi in the academic year 2022/2023.This study is experimental in nature and employs a quantitative methodology with two random groups for the pre- and post-tests. Images or photos are used in quantitative research to determine the current condition, which is then used to inform a descriptive study that provides an explanation of the issue after it has been identified.Data from the experimental class' pre-test show a result of 0,165, whereas data from the control class show a result of 0,174, and data from the experimental class''s post-test show a result of 0,081, as opposed to 0,200 for the control class''s data. All of the data used in this study were normal, it can be said.it can be concluded that word mapping approach was regarded as a useful strategy to enhance the students'' vocabulary mastery in relation to reading, writing, speaking and understanding about the meaning. It was in line with the word mapping strategy's purpose of helping students understand the material more easily while also training them to be more engaged and imaginative.
Sistem pakar Diagnosa Penyakit Campak Pada Anak Dengan Menerapkan Metode Fuzzy Mamdani

Measles, also known as morbili in Latin and measles in English, or known as gabagen (in Banjarese) or rubeola (German measles) is a viral infection that causes chronic intrauterine infection, disrupting fetal growth and development, an infection highly contagious virus, which is characterized by fever, weakness, cough (inflammation of the connective membrane of the eye) and red spots on the skin. The group most vulnerable to contracting this disease are infants and children who have never received measles immunization. This disease is also one of the causes of high morbidity and mortality rates in infants and children. The problem of measles is that it is often difficult to detect symptoms and needs further medical treatment to find out the symptoms of measles. Ignorance of the community about traces of measles can be fatal and can even cause death. Measles is an endemic disease in developing countries, including Indonesia. Based on the results of the final calculation test at the defuzzification stage, the severity of the diagnosis of measles in children is in the definite category
Peace and Unification tourism to a national cemetery: Focusing on the National Cemetery for Overseas Koreans and Daejeon National Cemetery

The 'Korean Peninsula Peace tourism' is a practice of reflecting on the patterns and reasons for the violence experienced by people living on the Korean Peninsula and raising hope that peace can be realized on the Korean Peninsula. At schools, it is conducted in the form of field experience learning in places related to peace and unification. In order to promote school peace and unification field experience learning, it is necessary to break away from the inertia of visiting only areas near the DMZ and discover various field experience learning locations close to schools. In this article, first, we theoretically explained why the ‘National Cemetery of the Republic of Korea’ can be a good place for peace and unification field experience learning based on the fluidity of placeness and the multidimensionality of violence on the Korean Peninsula. Next, we presented facilities worth noting at the National Cemetery for Overseas Koreans and Daejeon National Cemetery and topics that teachers and students there could talk about in relation to peace and unification. Through this work, the goal of this article is to contribute to the revitalization of ‘local peace tourism’ that contemplate peace and unification near schools, focusing on the memories of individuals, families, and regions.
Implications and Challenges of Non-publication of Textbook Writing Standards for Improving Unification Education

On December 22, 2022, the ‘2022 Revised Curriculum’ was announced, and on January 27, 2023, ‘Compilation Points to Consider and Certification Standards for the Development of Certification Books According to the 2022 Revised Curriculum’ was published. In addition, the ‘2023 Basic Direction for Unification Education’, the first unification education guideline of the Yoon Seok-yeol government, was published on March 14, 2023. The purpose of this study is to explore the meaning, implications, and challenges of the non-publication of textbook writing standards according to the 2022 revised curriculum in improving unification education. For research purposes, 1) background and reason for non-publication of textbook writing standards, 2) problems with textbook writing standards related to unification education, 3) implications of unification/North Korea awareness and unification education practice for improving unification education, 4) textbook writing standards The meaning and challenges of non-publication in improving unification education were explored.
A Study on the Paradigm Transformation Theory of Unification Education

This study was conducted with the aim of examining the paradigm shift theories of unification education. Each of these paradigm shifts had the following problems. The paradigm shift from security to peaceful unification has issues such as incompleteness of paradigm shift, the still central position of security, and the unclear status and conceptual establishment of the concept of “unification” when transitioning from security education to unification education. The paradigm shift to unification education by various theories of education has a problem either the maintenance or replacement of unification education, and there is also a problem that it does not present the systematic relationship between education and unification education by various theories of education. Following the emergence of post-modernity, the theory of paradigm shift in unification education has problems such as appropriateness of alternatives, appropriateness of application to the Korean modernity, and problems that do not show great difference in content from the existing new paradigm of unification education.&#x0D; In order to achieve the correct shift in the paradigm of unification education while overcoming these problems, this study suggests several things as follows.&#x0D; First, in the era of post-Cold War inter-Korean reconciliation, unification education needs to achieve a complete paradigm shift from security to unification, which refers to education for “unification” itself, which converts division consciousness to unification-oriented consciousness, and education that seeks to shift awareness from division to unification.&#x0D; Second, in order to properly realize the paradigm shift to unification education in various theories of education, such as democratic citizenship education and peace education, it is necessary to include it in the systematic connection of unification education through education theory by and sub-education for unification ideology.&#x0D; Third, the paradigm shift to post-division education following the emergence of post-modernity needs to be pursued in the context of inclusion and convergence in unification education.
The Use of EMOJIS in Online Human Sex Trafficking Ads

Technology has dramatically changed the way criminals conduct their illicit activities. Specifically, the Internet has become a major facilitator of online human sex trafficking. Traffickers are using these technologies to market their victims which presents new challenges for efforts to combat sex trafficking. This study used knowledge management principles and natural language processing methods to develop an improved ontology of online sex trafficking ads. The language of these ads is constantly evolving; therefore, this study explored the role of a new type of indicator, emojis, to the ontology of human trafficking indicators.
Recent Trends of Integration of Blockchain Technology With the IoT by Analysing the Networking Systems: Future Research Prospects

In recent times, attention has surged towards entities with the potential to revolutionize various sectors. The integration of Internet of Things (IoT) and blockchain technologies, known as IoT-blockchain, offers numerous advantages, including heightened security, privacy, traceability, transparency, and reduced costs. This abstract delves into the taxonomy and prominent platforms of blockchain applications for IoT in networking systems, exploring recent advancements, obstacles, and future research avenues. IoT blockchain's crucial aspect lies in establishing decentralized networks, enabling secure collaboration and data interchange among diverse devices without a central governing entity. Platforms like Ethereum, Hyperledger, and IOTA facilitate the creation and management of these networks. Recent developments focus on enhancing security, scalability, and efficiency through novel consensus mechanisms and cryptographic techniques. Challenges persist, including the need for improved interoperability, integration with existing systems, efficient governance, regulatory structures, and the identification of use cases and business models for widespread adoption. The examination of successful governance, regulatory frameworks, and potential adoption catalysts completes the discourse on IoT blockchain technology.
Pelatihan Desain Media Pembelajaran Worksheet Melalui Aplikasi Canva Bagi Guru

In this activity, training on making worksheet learning media using the Canva application was introduced to teachers of SDN Pacarpeluk, MI Miftahul Ulum and TK Pertiwi Pacarpeluk in Jombang, East Java. One application that can be used to help teachers in making teaching materials is Canva. The Canva application presents various features in making designs including worksheets. The KH. A. Wahab Hasbullah University community service team conducted training for Pacarpeluk Elementary School teachers on making worksheets with the Canva application. The approach method used in this service activity is the Community Based Research (CBR) approach with community involvement as partners who participate and are actively involved in all service activities. The results of this service activity are an increase in teacher creativity in making Canva-based worksheet learning media and the learning process that is carried out is more fun and for students of SDN Pacarpeluk, MI Miftahul Ulum and Pertiwi Kindergarten by using Worksheet media to increase students' activeness and memory of English, Arabic and Mathematics subject matter.
The Implementation Of Crossword Puzzle Game As Teaching Material To Develop Students’ Vocabulary In Grade X Of Ma. Mambaul Ulum Bata-Bata

Teaching English language cannot be separated from a good lesson plans that contain in syllabus and curriculum. Based on national curriculum, the aims of English in our country is “students can master four skills (reading, writing listening, vocabulary)”. Some of the interesting method in teaching is game. To create interesting learning, teacher must have innovative technique, for exampel with crossword puzzle model on vocabulary material in grade X of MA Mambaul Ulum Bata-Bata . The first, teacher appreciates and provides motivation either by telling about the greatness of someone who is successful. The design of this research is classroom action research, since the research deals with crossword puzzle game to develop students’ vocabulary. The researcher uses classroom action research that used two cycles. The main characteristic of action research was the spiral activity consisting of planning, acting/implementing, observing, and reflecting. The result of the observation sheet showed that at the first meeting in cycle 1, most of the students still did not know what to do, and began the conversation well. It was still 36% students were active. At the second meeting of cycle 1, the involvement of the students was increasing to 55%. The result of the observation sheet in the cycle 2 showed that at the first meeting, most of the students began practiced actively and began study well, they looked very enthusiastic with this. It was 64% students were active. At the second meeting, the involvement of the students was increasing to 70%.
DIGITAL MARKETING, CYBERCRIME, AND ISLAMIC BUSINESS ETHICS A CASE STUDY IN INDONESIA

This study aims to explore digital marketing in-depth, and cybercrime in the business sector in Indonesia. This study investigates the important contribution of Islamic business ethics in anticipating cybercrimes in the digital economy in Indonesia. The impact of digital marketing and cybercrime incidents on the business sector needs to be investigated further in order to minimize the occurrence of cybercrime, such as in e-Commerce Shopee, Tokopedia and some of them by using a qualitative approach and case studies. One of the triggers for incidents of cybercrime is due to the use of digital marketing which has now gone global, but self-awareness is weak so it is necessary to internalize the values of Islamic business ethics in order to prevent it from within oneself. This study focuses on the economic and business sectors so that the findings can be generalized to other sectors. Then, a descriptive analysis study was used to explore case by case to help categorize research findings. Awareness of information and communication technology security has received less attention due to the proliferation of digital technology innovations which have implications for cybercrimes in the economic and business sectors. Therefore, it is important for business people (users, consumers, and society) to realize that business ethical values are very important in achieving success, not just materially but non-materially. This study describes in depth the benefits of digital marketing on the one hand, and on the other hand the negative impact that results in cybercrime. This study also raises awareness among business people about the importance of Islamic business ethics in the economic and business sectors.
Development of a Designation System for Supercomputing Specialized Centers by Application Field

This study identified institutional gaps and improvement measures to correlate the "3rd Supercomputing Fostering Master Plan" established in 2023 with lower-level implementation plans. Institutional gaps were identified through matrix analysis of the major tasks. The analysis revealed the lack of planning for resource utilization, expansion of infrastructure, and dissemination of research results in the action plan. Hence, a joint utilization system should be established based on the law and a specialized center should be operated to establish specialized resources for each field. An evaluation system for the redesignation of a specialized center was selected as a necessary improvement. Evaluation items and points were adjusted through network centrality analysis using the existing evaluation result data. The improved evaluation model is expected to guide the development of a joint utilization system for supercomputers in Korea by enabling the effective redesignation of specialized centers. We plan an evaluation to determine whether to redesignate the seven specialized centers in Korea by applying the results of this study.
Handling Imbalanced Data Using a Cascade Model for Image-Based Human Action Recognition

Human action recognition plays a crucial role in intelligent monitoring systems, which are based on analyzing the possibility of anomalous events related to human behavior, such as theft, fights, and other incidents. However, by definition, anomalous events occur somewhat infrequently, thus leading to small and unbalanced data compared to data on other events. Such a data imbalance causes the human action recognition model to fail to produce optimal accuracy. To overcome the problem of imbalanced data, the typical methods used are oversampling and undersampling. However, these two methods are not considered to be very effective, because they cause the loss of a significant amount of information or deviations from reality. Therefore, the current paper proposes a cascade modeling strategy to address data imbalance problems, particularly in the case of human action recognition. The proposed strategy consists of several steps: preprocessing, feature extraction, modeling, and evaluation. The BAR dataset experiment found that the cascade model outperformed the other examined methods with an accuracy of 56.38%. However, there is still potential for further improvement through continued research.
TrafficNet: A Hybrid CNN-FNN Model for Analysis of Traffic Accidents in Seoul

The escalating global trend of traffic accidents with subsequent loss of lives is a matter of grave concern that requires immediate attention. Extensive efforts have been made to mitigate accidents and develop effective prevention strategies. This research paper focuses on a comprehensive analysis of traffic accidents in Seoul, aiming to identify factors and accident types that contribute to increased severity. To achieve this, we introduced a new approach called "TrafficNet: A Hybrid CNN-FNN Model" to evaluate effects of various parameters on the severity of traffic accidents in Seoul. Our main objective was to classify accidents into four distinct levels of severity: minor injuries, slander, fatalities, and injury reports. To assess the effectiveness of our proposed model, we conducted comprehensive experiments using publicly available traffic accident data provided by Seoul Metropolitan Government. These experiments involved six different models, including five machine learning models (decision tree, random forest, k-nearest neighbor, gradient boosting, and support vector machine) and one deep learning model (multilayer perceptron). The proposed model demonstrated exceptional performance, surpassing all other models and previous research findings using the same dataset. On the test dataset, TrafficNet achieved an impressive accuracy of 93.98% with a precision of 94.31%, a recall of 93.98%, and an F1-score of 93.89%.
Performance Optimization of GraphQL API Through Advanced Object Deduplication Techniques: A Comprehensive Study

This research paper presents a comprehensive analysis of the performance enhancement achieved in GraphQL application programming interfaces (APIs) when using meticulous object deduplication implementation. By integrating advanced techniques into the GraphQL response mechanism, the data size exchanged between servers and clients can be significantly reduced. Rigorous testing against untreated and HTTP-compressed data validates the obtained results, highlighting the presence of substantial improvements across various performance metrics. The applied object deduplication method demonstrates gains in throughput, with a 0.33% increase observed in a 100-page test. Notably, response time analysis reveals enhancements of 11.04% (10 pages), 62.53% (20 pages), and an impressive 95.22% (100 pages). Meanwhile, parsing time evaluation showcases remarkable increases of 75.78% (10 pages), 276.38% (50 pages), and an even more exceptional 309.35% (100 pages). Comparative analysis against HTTP compression further validates the superiority of object deduplication in parsing time efficiency, demonstrating gains of 64.61% (10 pages), 193.76% (50 pages), and 218.07% (100 pages). While the throughput performance remains comparable, slight differences can be observed in response time, with a 0.66% increase (10 pages), a minor decrease of 0.12 (50 pages), and a modest decline of 1.45% (100 pages). This study fills in existing research gaps and provides empirical evidence of the benefits of object deduplication in enhancing GraphQL API performance, thus enabling the effective optimization of GraphQL APIs.
Research on Spider Fine-Grained Recognition Technology Based on Transfer Learning

Few-shot image recognition represents a critical challenge in computer vision research. The scarcity of samples often results in inaccurate classification, limited generalization capabilities, and overfitted model recognition. To address these issues, the present study focuses on spider image recognition utilizing transfer learning and data augmentation techniques in limited sample settings. First, the BasNet image segmentation model and background replacement algorithm are used to extract species image data from the foreground; data augmentation is then applied to address the scarcity of samples. Second, a layer-by-layer fine-tuned transfer learning strategy based on the ResNet-50 model is devised. Specifically, to mitigate overfitting in the few-shot image classification task, the first two residual blocks are frozen so that only the last two are trained. To enhance the model's representation and generalization abilities, the SSC-ResNet-50 optimization model is constructed by introducing symmetry techniques. This study aims to enhance the accuracy and performance of spider image recognition. The experimental results demonstrate that the improved SSC-ResNet-50 model achieves an average accuracy of 99.1% in recognizing five types of spiders, thereby surpassing the performance of traditional models. These findings offer valuable insights for the field of small-sample high-precision image recognition.