Reviewerly/exHarmony huggingface dataset:
The Paradigm of Education through Leisure Activities in the Boarding School: Teacher’s Viewpoints

Authors:
raw_author_name: Nedeljko Milanović

Abstract: We often look at leisure time in different spheres of life by default and not so much importance. The aim of the paper is to consider and observe the views of boarding school teachers towards the paradigm of education through leisure activities in the boarding school. The obtained findings indicate that teachers perceive the importance of leisure activities, but that a large number of them estimate that there is not enough developed competence for the specific section they lead in the boarding school. When it comes to cooperation with colleagues in the direction of improving leisure time, the teachers’ opinions are divided, where there are answers that reflect good cooperation, but there are also answers from teachers that suggest that cooperation is bad or non-existent.
Solving Problems – Models, Strategies and Potential Implementation in Mathematics Education of 9 – 10-Year-Old Students

Authors:
raw_author_name: Lyubka Aleksieva

Abstract: The recent reforms in the educational system in Bulgaria aimed to provide the development of transversal skills and competences established in the state educational standards and curricula in all academic disciplines at primary school. Mathematics is the discipline that develops abstract-logical connections and makes sense of the world in a symbolic way, while building up the ability of students to cope with tasks in unfamiliar situations, in other words – to solve problems. The present paper attempts to investigate the theory of solving problems in mathematics at primary school age searching for its potential implementation. Methods of the study include theoretical research in the field of problem solving, covering its levels, models and strategies for its application, as well as content analysis of educational documentation for the 3rd grade. As a result of the study, relevant models and strategies are presented that have the potential to develop students’ problem-solving skills, revealing the need for increasing the number of tasks in the textbooks, which provide opportunities for problematization.
Strategies for Cultivating Students' Intercultural Communication Skills in Higher Vocational English Education

Authors:
raw_author_name: Jinyao Zhu

Abstract: Under the background of globalization and the informationization era, higher vocational English education is facing unprecedented challenges and opportunities. The cultivation of intercultural communicative competence has become a hot topic in the field of education, especially for higher vocational students, this competence is not only related to the effect of language learning but also directly affects the competitiveness and adaptability in the internationalized workplace in the future. At present, the following major problems exist in the cultivation of students' intercultural communication competence in higher vocational English education, the disconnection between teaching materials and actual intercultural communication requirements, the limitations of teachers' intercultural teaching awareness and methods, the insufficiency of students' intercultural experience and awareness, and the insufficiency of the school's educational resources and platforms. Based on this, this paper aims to discuss how to effectively improve students' intercultural communication competence in higher vocational English education, analyze the problems existing in the current educational practice, and propose corresponding improvement strategies.
Evaluation of SIAKAD ITSK RS dr. Soepraoen using Technology Acceptance Model (TAM)

Authors:
raw_author_name: Ahsanun Naseh Khudori
raw_author_name: Risqy Siwi Pradini
raw_author_name: Nindynar Rikatsih

Abstract: Institut Teknologi, Sains, dan Kesehatan (ITSK) RS dr. Soepraoen is one of the higher education institutions that implements academic information systems in the process of providing education. The academic information system (SIAKAD) involves many users and many data processings, so there is possibility of problems with network access. Therefore, an evaluation is needed to determine user’s acceptances of the performance of SIAKAD which has been used so far at ITSK. The evaluation model proposed in this research is the Technology Acceptance Model (TAM), which is a model that provides perceptions based on the experiences experienced by users. This research used a questionnaire instrument which was distributed to all SIAKAD ITSK users. The expected result is a positive percentage that will describe the correct system performance and a negative percentage that can be an input for further improvements to SIAKAD ITSK.
Development of Basic Finger Shapes Indonesian Traditional Dance Application Using Color-Based Hand Gesture Recognition

Authors:
raw_author_name: Wahyu Teja Kusuma
raw_author_name: Risqy Siwi Pradini

Abstract: UNESCO stated that Indonesian traditional dance is a world cultural heritage that must be preserved and maintained. Efforts made by the government to preserve traditional dance are still not successful. Research shows that students have difficulty in learning traditional Indonesian dance exercises. Therefore, this study develops a solution that focuses on the difficulty of learning the basic finger postures in traditional Indonesian dances. This is important because fingers are instruments in dancing that have meaningful forms, such as Closed Urang Chopsticks, Nyempurit, Ngruji, Open Urang Chopsticks, Ke-pelan, Baya Mangap, and Ngithing. Learning the practice of basic finger postures aims to provide an independent learning experience through repetitive movements to strengthen or strengthen. This research has succeeded in making a real-time Color-Based Hand Gesture Recognition application for reliable Android devices. This is evidenced by applications that can function well in test scenarios with varying lighting and background conditions. Finally, students can learn the hand gestures of traditional Indonesian dances independently with ease. In addition, the application of the results of this research also contributes to becoming a learning medium in the current era of Blended Learning. Suggestions for future research are to increase the accuracy of Nyempurit and Ngithing attitudes.
Sosialisasi Pembuatan Media Pembelajaran Problem Based Learning (PBL) untuk Meningkatkan Kualitas Pembelajaran Guru SD Negeri 057761 Kwala Gebang

Authors:
raw_author_name: None Rusli Rusli
raw_author_name: None Patri Janson Silaban

Abstract: Preparing a golden generation for the future that can compete in the progress of the times can be done through good education. So that education is a forum for students to be able to develop all the skills they have. As time progresses, technological progress also develops. The rapid development of technology also has an impact on the world of education. Learning activities cannot be separated from methods, models, teaching aids and also media. Teachers can use learning media as a means of conveying knowledge to their students.
Using Digital Literacy Components to Develop ESL Learners’ Digital Mastery

Authors:
raw_author_name: Rafidah Abd Karim
raw_affiliation_string: Universiti Teknologi MARA Perak Branch Tapah Campus

Abstract: The capacity to locate, assess, and communicate information via keyboards or digital media platforms is known as digital literacy. Utilizing information and communication technology to produce, assess, and distribute information requires a combination of technical and cognitive skills. Some ESL learners are still struggling when they are using the media online to search for articles and journals. In addition, there are still a lot of students that are unsure about how to use digital technology for their education. ESL learners must be proactive and digitally knowledgeable in this age of technology to successfully choose and organize their search results. Without these digital abilities, ESL Malaysian students would not be able to utilize a variety of ICT platforms for information access and processing for academic needs, as well as subsequently for career needs, specifically to fulfil the demands of the Industrial Revolution 4.0 (IR 4.0). This study explores the development of digital mastery using the digital literacy components. The study employed a survey research design. An online questionnaire was distributed to ESL learners in a selected university. A cluster sampling was used in selecting the samples. A sample of 186 university students were involved in this study. Descriptive and inferential statistics were used to analyze the quantitative data collected. Data was analyzed using SPSS version 27 for the questionnaire. In brief, the study contributes to a new model related to digital mastery for ESL students in higher education.
Regional Clustering Based on Types of Non-Communicable Diseases Using k-Means Algorithm

Authors:
raw_author_name: Tb Ai Munandar
raw_affiliation_string: Universitas Bhayangkara Jakarta Raya, Bekasi, Indonesia
raw_author_name: Ajif Yunizar Yusuf Pratama
raw_affiliation_string: Universitas Bhayangkara Jakarta Raya, Bekasi, Indonesia

Abstract: Noncommunicable diseases (NCDs) have become a global threat to public health, necessitating a comprehensive understanding of their geographic and epidemiological distribution in order to devise appropriate interventions. The objective of this study is to clustering areas of Banten Province based on NCDS profiles using the unsupervised learning technique. The method used in this study is the k-means algorithm for grouping types of non-communicable diseases based on region. The processing and normalisation of NCDS prevalence data from various health sources preceded cluster analysis using the k-means clustering algorithm. This research is categorised into two scenarios: the first involves the clustering of data obtained from outlier analysis, while the second scenario excludes any outliers. The objective is to observe disparities in regional clustering outcomes by categorising non-communicable diseases according to these two scenarios. The silhouette index is used to determine the validity of cluster results. These findings are analysed in depth to determine the geographic and socioeconomic patterns associated with each cluster's NCDS profile. Based on the mean silhouette index value of 0.812, the results indicate that the sum of k = 2 in the k-means algorithm is the optimal cluster result in this case. Five non-communicable diseases, namely diabetes, hypertension, obesity, stroke, and cataracts, necessitate significant focus in the first cluster (C1), where 202 regions were grouped. Six regions belong to the second cluster (C2), which includes areas that are not only susceptible to the five non-communicable diseases in cluster C1 but also to breast cancer, cervical cancer, heart disease, chronic obstructive pulmonary disease (COPD), and congenital deafness.
Urban Heat Island Literacy Among Geography Education Students of Universitas Muhammadiyah Surakarta

Authors:
raw_author_name: Mohd Hairy Ibrahim
raw_affiliation_string: Faculty of Social Science and Humanities, Sultan Idris Education University
raw_author_name: Nor Md Isa Kalsum Binti Md Isa
raw_affiliation_string: Faculty of Social Science and Humanities, Sultan Idris Education University

Abstract: Geography Education students are expected to have literacy about the phenomena around them, one of which is Urban Heat Island (UHI) literacy. It is appropriate by the mission of Geography Education at the Muhammadiyah University of Surakarta (UMS) is to produce geography educators with a view on disaster mitigation. This study aims to determine the UHI literacy of students in 7th semester, Deparment Geography Education, Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta. This research is a quantitative descriptive study with survey methods. The study using purposive random sampling of 80 respondents and as many as 54 collage students were selected as samples. The UHI literacy research instrument was developed based on the OECD's International Program for Student Assessment (PISA) in 1999. Based on the indicators in scientific literacy which are divided into three categories, the results are obtained: 1) Indicators of UHI's concepts show that high categories are middle class 20.4 % and the majority of students at a high level with 79.6%; 2) Indicators of UHI's processes obtained results with 1.8 % of students at a low level, 20.4 % of students at a medium level, and 78.8 % at a high level; 3) UHI's situation indicators showed that the high category was 93% and moderate was 7%. The conclusion shows that the UHI literacy of students is relatively high, indicating that curriculum based on disaster insight has been doing well, but further research is needed on other disaster insights and analysis of factors which affect the results above.Keywords: Urban Heat Island, Urban Heat Island Literacy, Curriculum
Expert System for Diagnosing Corn Plant Diseases Using the Web-Based Certainty Factor Method

Authors:
raw_author_name: None Muhamad Masjun Efendi
raw_affiliation_string: Universitas Teknologi Mataram
raw_author_name: None Erfan Wahyudi
raw_affiliation_string: Institut Pemerintahan Dalam Negeri

Abstract: In the process of corn plant growth, it often faces the threat of various diseases that can hinder optimal growth. Dealing with this issue often requires the presence of a plant expert, such as a field agricultural extension officer. However, limitations in the human resources of agricultural extension officers, time constraints, and geographical distances often make it difficult for farmers to get direct assistance from experts. To overcome these constraints, a system capable of addressing issues related to corn plant diseases, similar to the role of an expert, is needed. In this study, the Certainty Factor method is employed, suitable for an expert system that measures the level of uncertainty, and through testing with 28 sample data cases, the accuracy level of this system reaches 90%.
Perbandingan Algoritma Winnowing dan Algoritma Rabin-Karp pada Aplikasi Pendeteksi Kesamaan Dokumen Skripsi

Authors:
raw_author_name: Jumadil Nangi
raw_affiliation_string: Teknik Informatika, Fakultas Teknik, Universitas Halu Oleo, Indonesia

Abstract: Plagiarism is often found in the academic world and is considered a serious violation because it involves the appropriation of ideas, opinions, or writings of others. A thesis is the final work of a student that must meet scientific standards and be tailored to the field of study. It is important to check the similarity of the thesis using a web-based sistem to prevent plagiarism and ensure academic integrity. This sistem will be developed as a web-based platform with the aim of comparing the Winnowing algorithm and the Rabin-Karp algorithm in checking the similarity of thesis/final project texts with existing thesis data. In principle, both methods involve searching for strings using hashing functions to compare the sought string (m) with the compared string (n) by comparing the results of the hashing function used. However, the Winnowing algorithm differs in that it does not use all hash values from each formed set of grams. The hash values formed in the previous stage will be divided into a window of size (w). In this research, the sistem testing uses data from Computer Engineering students at Halu Oleo University to facilitate checking the plagiarism level of theses using the Rabin-Karp and Winnowing algorithms. In this study, the Rabin-Karp and Winnowing algorithms have been implemented successfully in the plagiarism checking sistem for students' theses. The test results for the comparison of the Winnowing and Rabin-Karp algorithms in terms of processing time show that the Rabin-Karp algorithm takes 1.509 seconds, while the Winnowing algorithm takes 1.508 seconds. Subsequent testing using Normalized Mean Absolute Error (NMAE) reveals that the Rabin-Karp algorithm has an absolute error value of 0.1829, while the Winnowing algorithm has a value of 0.0194. Therefore, based on the NMAE test, the Winnowing algorithm performs better than the Rabin-Karp algorithm.
Heat Transfer-Inspired Network for Image Super-Resolution Reconstruction

Authors:
raw_author_name: Mingjin Zhang
raw_affiliation_string: State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, China
raw_author_name: Qianqian Wu
raw_affiliation_string: State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, China
raw_author_name: Jie Guo
raw_affiliation_string: State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, China
raw_author_name: Yunsong Li
raw_affiliation_string: State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, Shaanxi, China
raw_author_name: Xinbo Gao
raw_affiliation_string: State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi&#x2019;an, Shaanxi, China

Abstract: Image super-resolution (SR) is a critical image preprocessing task for many applications. How to recover features as accurately as possible is the focus of SR algorithms. Most existing SR methods tend to guide the image reconstruction process with gradient maps, frequency perception modules, etc. and improve the quality of recovered images from the perspective of enhancing edges, but rarely optimize the neural network structure from the system level. In this article, we conduct an in- depth exploration for the inner nature of the SR network structure. In light of the consistency between thermal particles in the thermal field and pixels in the image domain, we propose a novel heat-transfer-inspired network (HTI-Net) for image SR reconstruction based on the theoretical basis of heat transfer. With the finite difference theory, we use a second-order mixed-difference equation to redesign the residual network (ResNet), which can fully integrate multiple information to achieve better feature reuse. In addition, according to the thermal conduction differential equation (TCDE) in the thermal field, the pixel value flow equation (PVFE) in the image domain is derived to mine deep potential feature information. The experimental results on multiple standard databases demonstrate that the proposed HTI-Net has superior edge detail reconstruction effect and parameter performance compared with the existing SR methods. The experimental results on the microscope chip image (MCI) database consisting of realistic low-resolution (LR) and high-resolution (HR) images show that the proposed HTI-Net for image SR reconstruction can improve the effectiveness of the hardware Trojan detection system.
Prompting Is All You Need: Automated Android Bug Replay with Large Language Models

Authors:
raw_author_name: Sidong Feng
raw_affiliation_string: Monash University, Melbourne, Australia
raw_author_name: Chunyang Chen
raw_affiliation_string: Monash University, Melbourne, Australia

Abstract: Bug reports are vital for software maintenance that allow users to inform developers of the problems encountered while using the software. As such, researchers have committed considerable resources toward automating bug replay to expedite the process of software maintenance. Nonetheless, the success of current automated approaches is largely dictated by the characteristics and quality of bug reports, as they are constrained by the limitations of manually-crafted patterns and pre-defined vocabulary lists. Inspired by the success of Large Language Models (LLMs) in natural language understanding, we propose AdbGPT, a new lightweight approach to automatically reproduce the bugs from bug reports through prompt engineering, without any training and hard-coding effort. AdbGPT leverages few-shot learning and chain-of-thought reasoning to elicit human knowledge and logical reasoning from LLMs to accomplish the bug replay in a manner similar to a developer. Our evaluations demonstrate the effectiveness and efficiency of our AdbGPT to reproduce 81.3% of bug reports in 253.6 seconds, outperforming the state-of-the-art baselines and ablation studies. We also conduct a small-scale user study to confirm the usefulness of AdbGPT in enhancing developers' bug replay capabilities.
Markov Subsampling Based on Huber Criterion

Authors:
raw_author_name: Gong, Tieliang
raw_affiliation_string: Key Laboratory of Intelligent Networks and Network Security, Ministry of Education, and the School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China
raw_author_name: Dong, Yuxin
raw_affiliation_string: Key Laboratory of Intelligent Networks and Network Security, Ministry of Education, and the School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China
raw_author_name: Chen, Hong
raw_affiliation_string: College of Science, Huazhong Agriculture University, Wuhan, China
raw_author_name: Dong, Bo
raw_affiliation_string: School of Continuing Education, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China
raw_author_name: Li, Chen
raw_affiliation_string: Key Laboratory of Intelligent Networks and Network Security, Ministry of Education, and the School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China

Abstract: Subsampling is an important technique to tackle the computational challenges brought by big data. Many subsampling procedures fall within the framework of importance sampling, which assigns high sampling probabilities to the samples appearing to have big impacts. When the noise level is high, those sampling procedures tend to pick many outliers and thus often do not perform satisfactorily in practice. To tackle this issue, we design a new Markov subsampling strategy based on Huber criterion (HMS) to construct an informative subset from the noisy full data; the constructed subset then serves as refined working data for efficient processing. HMS is built upon a Metropolis-Hasting procedure, where the inclusion probability of each sampling unit is determined using the Huber criterion to prevent over scoring the outliers. Under mild conditions, we show that the estimator based on the subsamples selected by HMS is statistically consistent with a sub-Gaussian deviation bound. The promising performance of HMS is demonstrated by extensive studies on large-scale simulations and real data examples.