Reviewerly/exHarmony huggingface dataset:
Study on the Educational Implication of David Hockney's Digital Drawing and Its Application in Elementary Art Education

Objectives This study clarified the effects of digital drawing on art education for elementary school students in a social environment in which the development of digital technology and the transition to the digital environment are accelerating, and suggested a teaching plan for art classes using digital drawing.&#x0D; Methods To this end, the necessity and meaning of art education using digital media were first considered by reviewing previous research and educational theories. In order to derive a plan to apply digital drawing to elementary school art education, David Hockney’s works were analyzed and his art view was reviewed through literature and interview data.&#x0D; Results Through this, playfulness, formality, and connectivity were derived as art educational effects contained in digital drawing. First, art education using digital drawing allows art to be enjoyed as play rather than study. Play elements of digital drawing The playful element of digital drawing promotes learning motivation and reduces learning burden.. Second, art education using digital drawing facilitates exploration of various colors and shapes. And it is possible to modify as much as possible during the creative process, so there is no need to worry about mistakes and failures. Children can be more immersed in expression and ideas. Third, art education using digital drawing enables convergence activities that connect art and technology, art and daily life, and time and space by using media familiar to digital native.&#x0D; Conclusions Based on these effects, this study reached the conclusion that elementary school art education using digital drawing meets the essential purpose of art education in that it motivates learners to learn and discover aesthetic characteristics in themselves and surrounding objects. In addition, this thesis emphasized that such art education corresponds to the trend of the digital age.
A Meta-analysis of Project Based Learning Effects in Vocational High School

In this study, a meta-analysis was conducted on a total of 19 papers in order to comprehensively identify and objectively verify the results of individual experimental studies that looked at the effects of project learning after applying project learning in vocational high schools.&#x0D; As a result, first, the overall average effect size of project learning application in vocational high schools was 1.392, indicating that the effect was very large. Subsequently, as a result of examining the effect size for each moderating variable, the effect size for the 3rd grade was the largest by grade. This is a different result from previous studies that the lower the grade, the greater the effect of project learning, and it was found that the specificity of vocational high schools that have practice classes mainly in the third year was applied. By operating class, the effect size of the 12th to 16th sessions was the largest, and by central subject, the architecture subject showed the largest size, and the convergence subject had the smallest effect size.&#x0D; As for the effect size examined by dependent variable, only 5 out of a total of 12 variables showed a significant effect size. The effect size of communication ability was the largest and the effect size of self-efficacy was the smallest. In relation to these results, it was suggested that the teacher's role as a learning facilitator is very important in order to maximize communication skills and improve students’ self-efficacy, and accordingly, teaching strategies are needed.
Effects of 12-week digital-based health care program on the body composition, cognitive function and activity daily living fitness of the elderly

The purpose of this study was to examine the effects of 12-week digital-based health care program on body composition, cognitive function, and activity daily living fitness in the elderly(65~85 years). The subjects were 30 elderly people who had digital-based health care group(78.60±4.53 years, n=15) and control group(77.66±3.63 years, n=15). The digital-base health care program was performed 3 times/week for 30 min 12 weeks. As a result, digital-base health care program significantly increase cognitive function(p.05). The activity daily living fitness was digital-base health care program significantly increase arm curl, sit down and bend forward(p.05) and decreased 3 m tandem walk(p.05). The significantly improved the chair sit to stand, arm curl, 3 m tandem walk, walking in place for 2 minutes in both groups(p.05). These results suggest that digital-based health care program is effective in improving cognitive function and activity daily living fitness in the elderly.
Simulation-Based Optimization of User Interfaces for Quality-Assuring Machine Learning Model Predictions

Quality-sensitive applications of machine learning (ML) require quality assurance (QA) by humans before the predictions of an ML model can be deployed. QA for ML (QA4ML) interfaces require users to view a large amount of data and perform many interactions to correct errors made by the ML model. An optimized user interface (UI) can significantly reduce interaction costs. While UI optimization can be informed by user studies evaluating design options, this approach is not scalable because there are typically numerous small variations that can affect the efficiency of a QA4ML interface. Hence, we propose using simulation to evaluate and aid the optimization of QA4ML interfaces. In particular, we focus on simulating the combined effects of human intelligence in initiating appropriate interaction commands and machine intelligence in providing algorithmic assistance for accelerating QA4ML processes. As QA4ML is usually labor-intensive, we use the simulated task completion time as the metric for UI optimization under different interface and algorithm setups. We demonstrate the usage of this UI design method in several QA4ML applications.
Workshop Ketahanan Pangan Pemberdayaan Komoditi Pisang Sebagai Olahan Brownise Pisang

Real Work Lecture (KKN) is a community service activity that is packaged in academic activities under the auspices of educational institutions, in this case Higher Education (PT), both private and public. With this activity, it is hoped that the KKN participants, who in this case are students, can mix and implement the knowledge gained during the learning process at the academic bench. Another objective in the implementation of KKN is to raise student and lecturer awareness, in this case the academic community is related to problems that exist in the social environment, to participate in the development of human resources and natural resources so that they can trigger the development of social life in society. This Community Service activity in the form of KKN provides assistance in Sidodadi Village which is carried out in the form of an in-person workshop. Meetings with the target community were held to check the readiness of the target community as well as provide socialization regarding the benefits, various examples of processed banana products, as well as provide information regarding the nutritional value of bananas
Aplikasi E-Learning Berbasis Android sebagai Media Pembelajaran Bahasa Pemrograman

Advances in information technology can be used as a supporting medium in the learning process, one of which is E-learning. Programming language E-learning applications can be used to facilitate the process of learning programming languages. The application developed is based on Android and includes facilities such as downloading material presented in video form, quiz questions, forums for asking questions, and user profiles. The process of making the application uses a framework from JavaScript, namely React-Native as the front-end and Express JS as the back-end for the API provider, and MySQL as the database. The system development method used is the waterfall method. The stages of system development in this study started from planning problem identification and data collection, problem analysis and analysis of functional and non-functional requirements, application design using UML diagrams, application implementation by writing program code using React Native, Express Js, and MySQL, and trials by using 5 android devices. Based on the test results, it can be concluded that this application can run well and smoothly on devices with minimum specifications, namely Android version 6 with a resolution of 720 x 1280 and 2 GB of RAM. The test results show that the application can run properly and has a full-screen interface on each device, and can run smoothly without any bugs and errors.Keywords: Application, Android, Programming Language, E-learning.
Parsing-Based Recognition of Hierarchical Plans Using the Grammar Constraint

Plan recognition is the problem of recognizing a goal task and an agent’s plan based on the observed actions. Plan recognition techniques can be employed in multiagent systems, behaviour recognition, computer security, and other fields related to artificial intelligence. Hierarchical task networks (HTN) describe the decomposition hierarchy of tasks in planning problems. In HTN plan recognition, a prefix of the plan (actions observed so far) is given as an input, and the aim is to find a task that decomposes into a sequence of actions with the given prefix. In this paper, we show how the performance of parsing-based HTN plan recognition can be improved by restricting possible suffixes of the given prefix based on generalized arc consistency of a corresponding context-free grammar.
Analysis of Factors Influencing the Trust Levels of Kyrgyzstan Residents, Using Neural Network Analysis

Objective: Kyrgyzstan, located in Central Asia, is a country which has a strong will to achieve national development. The aim of this study is to measure the levels of trust of local residents, a highly important factor in national development, and to derive suggestions for improving it. To this end, the primary means employed is to target the residents of Kyrgyzstan and measure the levels of trust they have towards each other. Methods: The study uses data relating to aid projects for rural development that Korea’s Good Neighbors International organization (GNI) is jointly carrying out in Kyrgyzstan along with the Korea International Cooperation Agency (KOICA), a Korean aid provider. In order to carry out the aid project to Kyrgyzstan, these organizations conducted a baseline survey at the initial stage, and the results of this study were used for analysis. As regards the analytical method used in this study, neural network analysis was employed for the questionnaire survey data of 583 people in Kyrgyzstan that was used for the baseline survey. Results: Neural network analysis, a component of the big data analysis method, has recently been in the academic limelight. The analysis revealed that ethnicity had the greatest influence on the trust levels of Kyrgyzstan residents, followed by gender and education level, in that order. Conclusions: From this, it can be seen that multifaceted efforts are needed to increase the levels of trust of peoples other than ethnic Kyrgyzstanis, as they occupy a central position in Kyrgyzstan.
Analisis Tingkat Pengetahuan dan Partisipasi Masyarakat dalam Pencegahan dan Pengendalian Kebakaran Lahan Gambut di Taman Hutan Raya Orang Kayo Hitam (Studi Kasus: Desa Seponjen dan Desa Sungai Aur, Kecamatan Kumpeh, Kabupaten Muaro Jambi, Provinsi Jambi)

This study aims to analyze the level of community participation and the relationship of between community knowledge with participation in the fire prevention and suppression from peat in Orang Kayo Hitam Grand Forest Parks (TAHURA), Jambi Province. Research uses a mixed method by combining quantitative and qualitative research. The qualitative data sampling uses purposive sampling by collecting data through in-depth interviews. The analytical method used is quantitative descriptive analysis method supported by qualitative and cross tabulation methods. For the analysis of the association relationship using the Spearman Rank correlation formula method with respondents (n)&gt;30. To analyze the comparison of the level of knowledge and community participation, the t-test was performed using the independent t-test. Based on data analysis, it is known that the level of participation for the community of Seponjen Village is at the level of Partnership, while the level of participation of Sungai Aur villagers is at the level of manipulation. The level of knowledge and level of community participation in Seponjen Village is higher than the knowledge of the Sungai Aur Village community. The relationship of knowledge to community participation in Seponjen and Sungai Aur Villages has a strong enough correlation coefficient, rs seponjen = 0,481 and rs sungaiaur = 0,290. Correlation value rs (Spearman Rank correlation coefficient) shows that there is a very significant effect (α = 0.01) between knowledge of the level of community participation in the prevention and control of peatland fires in Orang Kayo Hitam Grand Forest Parks (TAHURA). The strategy to increase and strengthen knowledge and community participation in both villages can be done through assistance to increase knowledge through socialization and community participation through training and improvement of supporting facilities and technical knowledge on the use of various facilities needed in the form of community empowerment to increase knowledge and participation in prevention and control fire peat fires in Orang Kayo Hitam Grand Forest Parks (TAHURA).
Pengembangan Modul Matematika sebagai Penunjang Pembelajaran secara Online untuk Siswa SMK yang Melaksanakan Prakerin (Praktek Kerja Industri)

This study aims to produce a Mathematics Module to Support Online Learning for Vocational High School Students Carrying Out Internships (Industrial Work Practice). This research is development research, with the research design used is Research and Development (R&amp;D) with the ADDIE model (Analyze, Design, Development, Implementation, Evaluation) which consists of five stages, namely the analysis stage, design stage, development stage, implementation stage and evaluation stage. The subjects of this study were 20-30 students of class XI Automotive Light Vehicle Engineering at Setih Setio 1 Muara Bungo Vocational School. The procedure for this research was preliminary research, designing modules, preparing instruments, expert tests, individual tests, and student tests. The feasibility of this product is seen from the results of expert validation by achieving the appropriate criteria for the module. Research results based on the assessment of material experts in the very feasible category, and the media expert's assessment in the very feasible category, the assessment of students on small-scale tests and large-scale tests gave an average percentage of positive responses. Based on the assessment of material experts, media experts, design experts, student responses, it can be concluded that the mathematics module with statistics material is appropriate for use as a support for SMK students who carry out Internship (Industrial Work Practice).
Evaluasi Kapasitas Saluran Drainase Sekunder di Jalan Kapten Pattimura Telanaipura Kota Jambi Menggunakan Software Hec-Ras

One of the areas in Jambi City that experience drainage system problems are the Telanaipura area, precisely on Jalan Kapten Pattimura. The area around the research site is a densely populated area and there are several shopping centers, restaurants, and a fairly high road user. When there is a large rain or rain for a long enough time, this area is often flooded with water as high as 0.2 - 0.8 meters which can cause quite a lot of losses for local residents and also for business owners in the area. From this, it can be said that the drainage channel at this location is less than optimal for collecting and draining rainwater discharge. In this case, it is necessary to conduct a study of hydrological analysis and hydraulics analysis of the drainage channel which is useful in helping to solve the problems that occur. This study used hydrological data in the form of monthly rainfall for the past 10 years and the geometry of secondary drainage channels on Jalan Kapten Pattimura Telanaipura. The method used in this study is in the form of hydrological analysis with the maximum rainfall method, gumbel, and calculation of plan discharge with a rational method. This Hydraulic analysis carried out uses the help of the HEC-RAS program to simulate the discharge of water flow in the drainage. Based on the results of the analysis, it can be concluded that the secondary drainage channel of Jalan Kapten Pattimura, Telanaipura District, Jambi City, cannot accommodate the flow discharge of the plan for periods 2, 5, and 10 years. This is due to sedimentation, high rainfall, suboptimal drainage channels in accommodating flow discharge, and the presence of piles of garbage. The solution to this problem is to deepen the dimensions of the drainage channel by 40–135 cm deep.
Malay Traditional Jewellery: The Innovation of Pending as Contemporary Fashion Accessories in Malaysia

Pending is part of traditional jewellery, often used to complement Malay clothing. Aristocratic people usually wear this pending on the waist on special occasions and gatherings, such as weddings and cultural events. Since Pending is no longer as popular as it once was, this study suggests improving and innovating existing functions. New mechanisms have shown viable replacements for traditional features. This study aims to resurrect the Pending into a modern multi-function buckle as a contemporary fashion accessory in Malaysia. Qualitative research involving observation and description analysis is applied using a formal analysis approach. This research helps to preserve Malaysia’s culture and become a reference point for academics, designers, goldsmiths, historians, and other related professions in art, culture, and heritage of traditional jewellery.
Predictive Archaeological Modeling with MaxEnt (Late Roman Settlements in The Upper Don Basin Case)

The paper is devoted to an archaeological predictive modeling technique with GIS and machine learning based on maximal entropy algorithm (MaxEnt). Archaeological sites of the late roman time presented by settlements of Kashirka-Sedelok type (mid-3rd — early 4th century AD) in the Upper Don basin were the modeling objects. We found out that there are 169 known sites of such type in the study region, and collected all available information on their locations into a geodatabase including our own field survey data. The coordinates of these sites split into training and testing subsets served for developing a predictive model with MaxEnt. Environmental GIS-layers based on a digital elevation model and thematic maps were the model predictors. We made such predictors to reflect the paleogeography of the Upper Don basin in the study time period by choosing relatively stable landscape features of relief, bedrock, climate, hydrography and soils of the area. The trained model analyzed through more than 7 million cells of 90x90 m with overall area of 59 400 sq. km to identify potentially suitable areas for the Kashirka-Sedelok settlements and found 29 860 ha the most suitable areas (less than 1 % of the study area) as the result. The efficiency of the conducted modeling, evaluated on the testing sites, is high based on metrics of receiver operating characteristic (AUC = 0,915) and Kvamme’s Gain (KG = 0,97). The results of modeling serve as an agenda for the upcoming archaeological surveys in the region.
Conclusion, Managerial Implications and Limitations

This research aimed to carry out an exploratory study on the managerial dynamics involved in the process of adopting blockchain technology in a supply chain context, focusing, in particular, on the interplay between the blockchain itself, accounting and control systems. By relying on the case of the first European application of blockchain in the food supply chain, and through the lens of the actor-network theory (ANT), evidence was given of the managerial solutions that are necessary for dealing with this new technology as well as the effects that the blockchain has produced in terms of business and supply chain management as well as of accounting and control.
A formal security proof of generic construction of anonymous IBE from PEKS

Abdalla et al.[1, 2] proposed a transform of an anonymous IBE (A-IBE) scheme to a PEKS(Publickey encryption with keyword search) scheme. Boneh et al. proposed a transform of a PEKS schemeto an A-IBE scheme for only one-bit message. Rhee et al.[3] proposed a transform for constructingan A-IBE scheme for polynomially many-bit message by using a PEKS scheme. They firstly defineda multiple PEKS (mPEKS) scheme and showed that a mPEKS scheme can be constructed from aPEKS scheme. In this paper, we formally prove that if a PEKS scheme is confidential, so is theresulting mPEKS scheme. We then provide a transform from a mPEKS scheme to an A-IBE schemefor a polynomially many-bit message.
Problems of effective use of information and communication technologies in educational institutions of higher education

The article examines the modern process of education and training in institutions of higher education. The article is devoted to the analysis of the role of information and communication technologies in higher education; experience in teaching and problems arising in this regard; opportunities and types used in higher education; the necessity of their application is justified, which is an urgent problem of improving the quality of education through an innovative approach in the conditions of the formation of an information society. Approaches to the process of improving the information and educational environment of a humanitarian university are determined. Recommendations on the formation of a system of advanced technologies of education are given.
Dynamic FastMap: An Efficient Algorithm for Spatiotemporal Embedding of Dynamic Graphs

Efficiently embedding graphs in a Euclidean space has many benefits: It allows us to interpret and solve graph-theoretic problems using geometric and analytical methods. It also allows us to visualize graphs and support human-in-the-loop decision-making systems. FastMap is a near-linear-time graph embedding algorithm that has already found many real-world applications. In this paper, we generalize FastMap to Dynamic FastMap, which efficiently embeds dynamic graphs, i.e., graphs with time-dependent edge-weights, in a spatiotemporal space with a user-specified number of dimensions, while reserving one dimension for representing time. Through a range of experiments, we also demonstrate the efficacy of Dynamic FastMap as an algorithm for spatiotemporal embedding of dynamic graphs.