bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Status Sosial Ekonomi Orang Tua dan Kecerdasan Emosional terhadap Motivasi Atlet Tennis Meja PTM Otaka Gabus
Authors: Junianto Anugrah Mauludina , Irawan Ricko
Published: September 2023

This study aims to determine the effect of parents' socioeconomic status on motivation, to determine whether intelligence has an influence on motivation, and lastly, to determine parents' socioeconomic status and emotional intelligence together have an influence on athlete motivation. This study uses the correlation method through a quantitative approach. The population in this study were all active athletes in PTM Otaka Gabus, while the sample used was 30 athletes with a total sampling technique/saturated sample and the sampling technique used was Non-Probality sampling. Aspects seen from the socio-economic status of parents are parental education, parental occupation, parental income, organization followed, and ownership of valuables. Aspects seen from emotional intelligence are recognizing one's own emotions, managing emotions, motivating oneself, recognizing other people's emotions, and building relationships. While the aspect that is seen from motivation is through intrinsic and extrinsic factors. The results of this study are that there is an effect of parents' socioeconomic status and emotional intelligence on athlete motivation together of 13.5%. It can be concluded that the relationship is unidirectional and has a positive value, meaning that if parents' socioeconomic status and emotional intelligence are high, then achievement motivation is high.
Survei Motivasi Masyarakat dalam Mengikuti Komunitas Olahraga di Komplek GOR Tri Lomba Juang Semarang
Authors: Toyib Ahmad , Soenyoto Tommy
Published: September 2023

The purpose of this study was to determine and analyze the level of community motivation in participating in the sports community in the GOR Tri Lomba Juang Semarang Complex. This type of research is descriptive quantitative with the population of this study are members of the sports community in the complex of GOR Tri Lomba Juang Semarang. The number of samples used was 30 respondents with data collection techniques randomly sampling technique. Data collection techniques using a questionnaire. The data analysis method used is descriptive percentages. The results showed that the motivation of the community in participating in the sports community, especially members of the sports community, was classified as very high with an overall percentage score of 87,3%. While the remaining 12,7% of respondents have moderate motivation and 0% low motivation in sports activities that are recreational in nature, especially the sports community in the GOR Tri Lomba Juang Semarang complex. The conclusion from the research results is that in general, people have high motivation in participating in the sports community in the GOR Tri Lomba Juang Semarang complex to maintain health
Survei Sikap Sosial Siswa Melalui Pembelajaran Penjasorkes di SMAN 1 Ngawen Kabupaten Blora Tahun 2021
Authors: Puspitaningrum Vittary Awanda , Raharjo Hermawan Pamot
Published: September 2023

The purpose of this study was to determine the level of success of physical education and physical education learning on the social attitudes of class X students of SMAN 1 Ngawen in Blora Regency during the current covid-19 period. This study uses a quantitative method through a survey with a descriptive approach. The research sample was 128 students. The sampling technique is proportional stratified random sampling. Methods of data collection using observation, documentation, and questionnaires. Data analysis with descriptive analysis of percentages. The results of this study are according to report cards on the attitude aspect of 19.86% (28 students) categorized as very good, while 80.14% (113 students) in the good category. The conclusion of this study, that most of the class X students at SMAN 1 Ngawen have been able to apply several aspects of social life through online learning according to the homeroom's assessment of attitudes including discipline, cooperation, honesty, mutual respect, responsibility, self-confidence, and tolerance contained in aspects of attitude assessment through observation, self-assessment, assessment between students, and journals with good categories.
Pelaksanaan Pembelajaran Daring Materi PJOK Di SMA Negeri Se-Kecamatan Brebes Tahun 2021
Authors: Al Faritsi Nur Hilal , Nurharsono Tri
Published: September 2023

The purpose of this study was to find out the appropriate implementation for physical education subjects at State Senior High Schools throughout the Brebes District during the Covid-19 pandemic. This study uses a qualitative approach with a descriptive design. The results of research related to teacher learning planning make learning tools consisting of syllabus, lesson plans, teaching materials, assessment instruments and lesson schedules. Teachers carry out online learning with curriculum references that have been integrated according to current conditions. Compacted time allocation. Learning evaluation is carried out with student activity, PAS and PTS as well as making videos. The factors that influence online learning are digital literacy, student motivation and internet networks. The conclusion from the implementation of online learning of PE material in SMA Se-District Brebes, namely: the planning has been going well because the teacher has made and prepared all the learning tools. The implementation has been running properly because the strategy used by the teacher has been running well and effectively. The assessment/evaluation is in the good category because the assessment still contains 3 aspects, namely: affective, cognitive, and psychomotor. For the influencing factors can be minimized and reduced
Pengembangan Permainan Papabov untuk Pembelajaran Bola Voli Siswa Sekolah Dasar
Authors: Wibowo Aditya , Nurharsono Tri
Published: September 2023

The purpose of this research is to produce the development of a papabov game model for volleyball learning for elementary school students and testing the effectiveness of the papabov game model for volleyball learning in elementary school students.This study uses research and development research methods. The research subjects involved 36 students for small-scale trials and 73 students for large-scale trials. The instruments used in data collection are in the form of expert evaluation sheets, student questionnaire sheets for cognitive, affective and psychomotor assessments. The data analysis technique used in this development research is to use descriptive analysis techniques in the form of percentages.The results of the analysis of the data obtained from the evaluation of volleyball experts, obtained an average rating of 87.34% (Good). Evaluation of physical education learning experts, obtained an average rating of 91.11% (very good). The results of the analysis of small-scale trial data obtained a percentage of 88.89% (good). The results of the analysis of large-scale trial data obtained the percentage of appropriate answer choices 93.23% (very good).Based on the results of research and discussion in this skipsi, it can be concluded that the Papabov game learning model product is effectively used in volleyball lessons for fifth graders at SD Negeri 1 Donosari, SD Negeri 2 Jambearum and SD Negeri 3 Jambearum.
Miód w leczeniu ran
Authors: Spyrka Kinga , Brela Jakub , Figura Maja , Grabowska Iwona , Abramowska Katarzyna , Obałek Beata
Published: September 2023

Historia miodu sięga najdawniejszych czasów. Pierwsze rysunki naskalne ukazują zainteresowanie człowieka pozyskaniem miodu. Miód w starożytnych cywilizacjach stanowił element diety, kuracji, obrzędów religijnych, a także uważany był za towar ekskluzywny. Miód od zawsze służył jako lekarstwo na różne schorzenia i do dziś jest podstawą tak diety, jak i kultury wielu plemion. Przeprowadzone badania wskazują na istotną rolę miodu medycznego w dobie antybiotykoodporności. W niniejszej pracy omówiono historię stosowania miodu w medycynie.
Privacy Protection Schemes in Internet of Vehicles (IoV): A Review and Analysis
Authors: Jiang Zheng , Chua Fang-Fang , Lim Amy-Hui-Lan
Published: September 2023

Internet of Vehicles (IoV) refers to a dynamic network of vehicles where data exchange is a way of communication among them. Existing work focus on mitigating the data leakage and strengthening the privacy protection during data exchange among vehicles in IoV, specifically on the Safety Beacon Message (SBM) as it contains location and identity of the vehicles. Limited work reported on the design of privacy protection schemes explicitly for SBM, and the success case studies in implementation of privacy protection schemes in various types of IoV architectures. This paper aims to review past research on privacy protection schemes for SBM in IoV architectures and the challenges in pursuing similar research in current environment. Firstly, this paper discusses the privacy protection issues related to SBM that arise in the centralized IoV architectures. Next, decentralization and tamper- proof features of blockchain in IOV is introduced as the enhancement to the centralized IoV architectures. Then, privacy protection issues related to SBM in a blockchain-based IoV architecture will be discussed. Finally, this paper concludes with future direction of work in privacy protection schemes in blockchain- based IoV architecture.
A Comparative Study of Convolutional Neural Networks and Recurrent Neural Networks for Chord Recognition
Authors: Khan Hania Nawaz , Bazai Sibghatullah , Zaland Zubair , Durrani Sibghatullah , Aslam Saad , Amphawan Angela , Ali Fatima , Neo Tse-Kian
Published: September 2023

Using Mel-spectrograms, this study evaluates the effectiveness of Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNNs). Mel-spectrograms are justified by their non- linearity and similarity to the human hearing system. This study uses over 200 tracks by The Beatles and Queen collected through the Music Information Retrieval Evaluation Exchange. Data augmentation approaches are used to increase accuracy on unusual chords. This paper presents a 3-layer 2D CNN model trained on major and minor chords and then expanded to different types of chords. The dataset demonstrates that both models can recognize musical chords across various genres. We compare the proposed results to the existing literature and demonstrate the effectiveness of the proposed methodology. As a result of our analysis, we found that the CNN and RNN models were 79% and 76% accurate, respectively. The presented findings suggest that CNNs and RNNs are suitable models for chord recognition using Mel-spectrograms. Data augmentation can be an effective technique for improving accuracy on rare chords.
Optimizing Gaming Experiences with a Web-Based Marketplace Peripherals
Authors: Ibrahim Amalina , Mohd-Isa Wan Noorshahida , Ho Sin-Ban , Kalid Suraya Nurain , Annuar Khairul Akhyar Khairul , Razaleigh Razi
Published: September 2023

Over the past decade, the global gaming peripheral market has emerged as a major investment in world trade. Numerous brands, including Razer and Logitech Inc., strive to make a significant impact and set trends in the industry by offering a wide range of products. These products cater to users' preferences and game system requirements, ranging from off-the-shelf options to fully custom-made gaming peripherals. This paper presents an application blueprint study for a centralized marketplace that compares on-market products from different renowned gaming peripheral producers. By leveraging this research, users can benefit from personalized recommendations for the best products that align with their preferences and game system requirements, ultimately enhancing their gaming experiences.
Advancements in Machine Learning Techniques for Educational Data Mining: An Overview of Perspectives and Trends
Authors: Kannan Rithesh , Yap Timothy Tzen Vun , Ng Hu , Wong Lai Kuan , Chua Fang Fang , Goh Vik Tor , Lee Yee Lien , Wong Hwee Ling
Published: September 2023

In the educational data mining (EDM) field, predicting student at-risk, student retention, dropout and performance have been attractive tasks among researchers. However, it is difficult to develop accurate models without first performing proper feature selection and class balancing. Therefore, the goal of this study is to review the current and future perspective and trends within the field of EDM for the past 10 years. The goal is to understand the state-of-the-art methods and techniques involving feature selection, class balancing and machine learning models. From the analysis, it is understood that there are plenty of research gaps yet to be explored.
Cubature Kalman Optimizer versus Teaching Learning Based Optimization: A Performance Comparison based on CEC2014 Test Suite
Authors: Musa Zulkifli , Ibrahim Zuwairie , Shapiai Mohd Ibrahim , Aziz Nor Azlina Ab.
Published: September 2023

This paper compares a new Cubature Kalman Optimizer performance against the Teaching Learning Based Optimization in solving the CEC2014 test suite. The Cubature Kalman Optimizer is inspired by the estimation algorithm named Cubature Kalman filter, while the Teaching Learning Based Optimization is inspired by the teaching-learning process in a classroom. Both algorithms can be characterized as a parameter-less nature. Graphical analysis based on convergence curve shows that Cubature Kalman Optimizer has better exploration than Teaching Learning Based Optimization in the first half of the total iteration that make it able to find better solution. On the other hand, for boxplot, both algorithms show comparative based on consistency. Meanwhile, statistical analysis shows that the Cubature Kalman Optimizer algorithm is a promising approach compared to Teaching Learning Based Optimization.
Improving Students’ Collaborative Learning Experiences within a Game-Based Augmented Reality Learning Environment
Authors: Mai Neo , Kian Neo Tse , Yeen-Ju Heidi Tan , Hin Hew Soon , Mahendru Nazi , Zahra Ismat , Apu Md Waziullah
Published: September 2023

In today’s post-COVID 19 world, the need to re-establish and strengthen collaborative activities is crucial in improving their learning experiences, and technology has become more prevalent as an enabler and a necessity to support this. Therefore there is a need for the development of student learning approaches that can capture their learning experiences and bridge the gap between formal learning and a more authentic, collaborative approach towards learning. Research has suggested that the use of emerging technologies such as Augmented Reality (AR) have been conducive in promoting better understanding of complex and difficult content in classes and offer learners the rich and engaging learning experience of visualizing course content, but have not yet been fully evaluated for their effectiveness in improving the learning experiences of students. As such, this study sought to design a game-based AR environment that investigated students’ attitudes and perceptions of using game-based AR, within a Team-Based Learning (TBL) class structure in their learning process, and its impact on student learning experiences. 56 Undergraduate level students participated in this mixed method research study and in this game-based AR learning environment. Data was collected on their attitudes and triangulated to obtain the study’s results. Findings showed that students were motivated to learn more, that the learning environment improved their collaboration, and were positive to having such learning experiences in their future courses, and a game-based AR learning framework, GALE, was presented. Such findings have important implications for the use of augmented reality as an instructional tool in 21st century learning environments.
Unveiling the Wave: Unraveling Sales Trends and Unlocking Market Basket Insights
Authors: Teh Ming Ann, , Lim Tong Ming, , Chin Wan Yoke,
Published: September 2023

This article presents sales trends and market basket analysis for Food and Beverages (F&B) items recommendation using linear regression time series and association rules. The purpose of this study is to help businesses to make better informed decisions by understanding their customers’ purchasing behaviors and the sales trends of the F&B items. This includes the study of both cross- selling and up-selling patterns using market basket analysis. To improve the market basket analysis, food name clustering has been carried out to group those foods having similarity ratio higher or equal to 80 based on the Levenshtein distances between the food names. This study analyzes sales data from a mobile app platform that register the Malaysian F&B hawkers (or merchants) and app users (or buyers) who sell and purchase F&B respectively. This study is based on sales trends analysis and association rules of product recommendations by examining FP-Growth and the relationship between product items bought. This study provides valuable insights for local Malaysian hawkers who are looking to improve their F&B items recommendations and to make better data-driven decisions while planning their marketing activities. It helps to improve sales by either up or cross-sell their products more effectively.
Economic Growth and The Potential of Corruption's Existence: The Case of Distracted Directors in Saudi Arabia
Authors: Aljaaidi Khaled Salmen
Published: September 2023

The objective of this study is to examine the impact of distracted directors on the economic growth of companies listed in Saudi Arabia for the period 2012-2019. The final sample consists of 509 firm-year observations. This study integrated the return on assets (ROA), return on equity (ROE), and profit margin ratio (PMR) to establish a composite score indicating the economic growth of companies (EG). Specifically, this study focused on the analysis of firm performance through the utilization of three distinct individual models as well as a composite model. The composite measure (EG) was derived using factor analysis, a statistical technique, to assess companies’ growth. Furthermore, this study used the hypotheses derived from well-established theories to explain the relationship between distracted directors and the economic growth of companies. These include the social network theory, the reputational hypothesis, the agency-based busyness hypothesis, and the resource-dependence theory. The social network theory, reputational hypothesis, and resource-dependence theory all posit positive correlations, whereas the busyness hypothesis posits a negative correlation. This study posits a potential correlation without specifying its direction because of the conflicting theories that attempt to predict the relationship, as well as the inconsistent results reported in previous empirical research. The study's findings provided support for the agency-based busyness hypothesis, as they revealed a negative association between distracted directors and economic growth. The findings of this study have significant implications for the corporate governance policymakers in Saudi Arabia, particularly in relation to the understanding of how distracted directors sitting on the board may indicate potential corruption that, in turn, has a negative impact on the economic growth of companies.
Impact of Foreign Direct Investment (FDI) on Unemployment in Somalia
Authors: Warsame Zakarie Abdi , Mohamed Idiris Sid Ali
Published: September 2023

This study evaluates the impact of foreign direct investment (FDI) on unemployment in Somalia. To achieve this goal, a co-integration analysis of the Johansen and VAR models was conducted using annual data from 1991 to 2021. The results indicate that there is no significant long-term relationship between foreign direct investment net inflows and unemployment. Furthermore, the long-term and short-term effects of FDI on unemployment are not significant. Based on the findings, it can be concluded that FDI does not contribute to a reduction in the unemployment rate in Somalia. Therefore, governments in the region should aim to attract labor-absorbing FDI and channel foreign investment inflows towards labor-intensive sectors with high labor-absorptive capacity, such as horticulture and floriculture.
Optimization of CO2 Capture Efficiency in a Flue Gas Treatment System: Assessing the Impact of Flow Rates, Absorbent Concentrations, Nanoparticles, and Temperature
Authors: Abdulla Maysoon Anwar , Ouederni Abdelmottaleb , Jafar Saad A.
Published: September 2023

This study focuses on improving the efficiency of flue gas purification systems for carbon dioxide (CO2) capture. The researchers investigated various factors, including flow rates, absorbent concentrations, nanoparticles, and temperature, to optimize the CO2 capture process. They conducted experiments using a polytetrafluoroethylene (PTFE) hollow fiber membrane contactor to separate CO2 from nitrogen. The presence of titanium dioxide and silica nanoparticles in a potassium carbonate solution facilitated the separation process. The findings indicate that optimizing flow rates and absorbent concentrations can enhance CO2 capture efficiency. The use of nanoparticles in the absorbent solution was found to improve material capture effectiveness. The study also revealed that higher temperatures contribute to increased CO2 capture efficiency. The research aims to advance CO2 capture techniques to mitigate the release of industrial greenhouse gases, particularly in flue gas treatment systems. The researchers determined optimal settings for CO2 capture in these systems, emphasizing the importance of absorbent concentration for stability and absorption, as well as the role of nanoparticles in enhancing reaction kinetics and CO2 collection. The objective of the analysis is to maximize removal efficiency, although specific lower and upper bounds and a target value were not provided. The proposed solution suggests specific values for the independent variables, including temperature, gas flow rate, liquid flow rate, and the concentrations of K2CO3, PZ, SiO2, and TiO2, to optimize CO2 capture.
The Primary Gate of the Melaka Sultanate
Authors: Mustaffa Fauzan , Baydoun Ziad , Abidin Mohamad Izani Zainal , Othman Muhammed Fauzi , Din Shamzani Affendy Mohd
Published: September 2023

Based on the historical Malay, China and Arab textual account, there was a primary gate that marked the entrance to the royal compound of Melaka Sultanate before 1511. The primary gate was arguably among the most iconic construct and strategic to the Sultanate city, at security, socio-cultural, symbolic and aesthetic levels. However, no critical study has been conducted in tracing the form, position, and its relation to the municipality of the Sultanate Melaka City. This study employs narrative analysis framework to carefully investigate descriptive clues to provide the big picture on the primary gate of Melaka Sultanate in view of historical texts from Malay, China, and Arab; all of which were written within or close to the Sultanate period. The findings of the narrative analysis were compared to a collection of municipal plans from the Portuguese and Dutch Melaka eras. This reconstruction study also took precedence of an ancient Malay sultanate gate for the design process which can be seen carrying the tradition of Sultanate Melaka gate. The finding of the study suggests the form, position and orientation of the sultanate Melaka gate. The study also discusses and proposes the route which could possibly accommodate another 6 gates before reaching the sultanate Melaka palace. The study has limitations since it relies on English translation in dealing with ancient Portuguese texts. The long-term goal of this reconstruction study is to promote historical Melaka identity tourism, which is in line with SDGs 8.9 and 11.4.
Investigating Spectrum Allocation Policies to Accommodate New Entrants in the Market: A Case Study of South Africa
Authors: Xulu Khanyisani Khayelihle , Malatji Masike
Published: September 2023

One of the goals of the telecommunications industry is to provide universal connectivity to its consumers. Achieving this goal is highly dependent on the allocation of radio frequency (RF) spectrum. The RF spectrum refers to the frequencies assigned to diverse services such as mobile, fixed, and satellite services. These allocations are regulated by international, regional, and local authorities. Countries across the globe have embarked on the journey to transform their RF spectrum allocation policies to be more inclusive and hybrid in nature. Such changes in some countries, have enabled new entrants and incumbent operators to provide low-cost connectivity into small rural communities, bridging the digital divide gap. Due to current policies by some regulators and perceived anti-competitive laws, new entrants and small operators find it difficult to penetrate the telecommunications market in South Africa. To address this challenge, the overall and ongoing study, proposes an alternative and inclusive framework for universal coverage and low-cost connectivity that accommodates both incumbent and new entrant operators in South Africa. To achieve this aim, a qualitative desktop research approach was used to analyze publicly available information, including journal articles, RF spectrum policy documents from various countries, International Telecommunication Union (ITU) documents and other academic sources. The objective of this paper is to contribute to the ongoing discussions regarding the policy on the allocation of RF spectrum. As this is an ongoing study, preliminary findings indicated that auctions remain a popular RF spectrum allocation model of choice, despite being perceived by some scholars as less competitive and inflexible. The final study findings, which would be in a subsequent research paper, aim to develop a new RF spectrum framework that may help achieve universal coverage and low-cost connectivity in South Africa.
Design of the Multi-purpose Marketing Data Analysis Program: Using actual online sales data
Authors: Choi Donggyu , Wang Tae-su , Kim Minyoung , Jang Jongwook
Published: September 2023

Marketing is a strategy for the sale of goods. Most shopping malls and vendors value this, and it is also a measure of the company's success. To this end, strategies are established through marketing departments or specialized companies, and related data is collected directly. Data analysis uses some tools, but in the end, data must be collected directly, and most of the tools that collect automatically only use SNS networks. In this paper, we present a design method for programs that can be fundamentally utilized without customizing or providing the functions of existing data analysis tools. In the program, HTML structures for commonly used shopping malls, not SNS, are predefined and prepared for immediate use of crawling techniques, and some textual data are generated as Excel files. This can be applied in real time, and some artificial intelligence and emotional analysis are applied to the image to help make an objective evaluation.
The Effect of Calligraphy on Career Decision-making Self-efficacy and Self-leadership of Nursing Students
Authors: Ko Heesun , Lee Hyunjung
Published: September 2023

This is a single-arm pre-post study conducted to determine the effect of a calligraphy program on nursing students' career decision-making self-efficacy and self- leadership. The data collected from 231 second-year nursing students were analyzed using SPSS WIN 25.0 to determine descriptive statistics, paired t-test to analyze the effect of calligraphy, and Pearson correlation coefficient to determine the relationship between career decision self-efficacy and self-leadership. After the program, both career decision self-efficacy (t=7.23, p<.001) and self-leadership (t=6.81, p<.001) improved, and there were statistically significant differences in each of the sub-items. There was a difference in pre- and post-program self-efficacy based on satisfaction with their major, but the difference between groups was not significant on post-hoc tests. The analysis of career decision self-efficacy and self-leadership before the program showed a strong correlation (r=.811, p<.001) and a strong correlation after the program (r=.849, p<.001). The results of this study are significant in that they validate the effectiveness of a calligraphy program in promoting self-leadership and career decision-making self-efficacy among nursing students who do not have clear career goals. At a time when the importance of cultural arts education is gradually increasing in social and educational fields around the world, calligraphy has the advantage of laying the foundation for the promotion of basic arts for the revitalization of cultural arts, so educational support is needed not only in terms of improving the quality of life and pursuing self-actualization of individuals with emotional expression and creative problem-solving skills, but also at the social level.
The Lived Experiences of Non-face-to-face Psychiatric Nursing Practice among Nursing Students: A Parse research Method study
Authors: Kang Gyun-Young , Kim Jinju
Published: September 2023

This study is a qualitative study to clarify meaning and structure of lived experiences of non-face-to-face psychiatric nursing practice among nursing student by applying Parse research method. The research question was Would you tell me about your experience of non-face-to-face psychiatric nursing practice? which was examined based on Parse's research method. Participants were 10 nursing students at a community central region of South Korea. As a result, the core concept of lived experiences of non-face-to-face psychiatric nursing practice among nursing student is as follows; Expanding awareness of self and other understanding, Preparation of communication for the formation of therapeutic relationships, Perspective through exploring the meaning of nursing.
A method for predicting the cutting points using random sample consensus partitioning technique and AI machine vision.
Authors: Lee Myungsub
Published: September 2023

Food processing and manufacturing companies that handle large amounts of fish want their fish to be packaged and delivered in uniform quantities. In particular, manual labor is performed by skilled workers for fish that are difficult to trim. Moreover, some fish processing sites employ partially automated processing machines. However, the structure of these machines is too simple to process fish with diverse patterns. Furthermore, these machines exhibit a large amount of error for the target weight. To improve the working environment of food processing and manufacturing companies by solving the aforementioned problems, this study proposes a technique for predicting the cutting points of a fish for each weight by adopting image processing and machine learning. The proposed technique employs a variety of image processing techniques and random sample consensus partitioning to extract the 3D model of the fish and its length, maximum major and minor axes, and volume information from the image of the fish. The model trained with the extracted 3D features and the measured weight information can predict the cutting points for the desired weight from the input fish image. The performance evaluation results of the proposed method indicated that there is an average error of less than 3% between the target and predicted weights. This error level is considered significantly better than 8%, which is the permissible error level in fish processing sites. It is expected that the proposed technique will significantly contribute to the development of an automated cutting system that considers the weight by integrating the technique with the cutting machine and conveyor belt.
Effects of Ayurvedic Massage and Counseling: Focusing on a Single Case of Pitta Constitution
Authors: Lee Min-Jea , Cheong Mee-Sook
Published: September 2023

This study is a case analysis study focusing on a single case of Pitta constitution as an effect of Ayurvedic massage and counseling. This study was conducted from January 20, 2023 to May 10, 2023. The research participant is a woman (64 years old) residing in S city. For data analysis, case analysis was conducted centering on verbatim words. As for the case study format, first, the case of the participant was summarized, and second, the case analysis applying Ayurveda massage and counseling was summarized. As a result of the study, first, the strengths of the participants tended to have more positive aspects than negative aspects of Pitta constitutional characteristics. However, the Pitta constitution is prone to psychological confusion. As for my physical body, the pain I felt every morning when I stretched has disappeared. The psychological body solved the stress from the heavy daily routine. The spiritual body becomes less stressed as it recognizes that all these things are a process for growing consciousness. it is concluded that Ayurvedic massage and counseling were effective in removing the anger of the pitta constitution and softening the physical stiffness.
A Study on the Assessment of Body Awareness Ability in Normal Children: A Pilot Study
Authors: Ahn Sinae
Published: September 2023

Body awareness influences psychosocial development, and psychosocial factors are important in children’s developmental processes. This study assessed the potential impact of body awareness in healthy children. Children, their guardians, and assessors were asked to complete a questionnaire consisting of items on body awareness. The questionnaire included items on body awareness, including body and posture awareness, body sensitivity, body anxiety, and bodily feelings. The responses of the children, their guardians, and the assessors were analyzed. There was a difference in body awareness between the child and guardian but there was no statistical difference. There was a difference in response to body awareness between the child and assessors, but there was no statistical difference. This study presents evidence of body awareness in normal children. Future research using a group design should be conducted to confirm and generalize the results of this study.
A Study on the Differences in Regional Attractiveness of Recognized Local Stories
Authors: Park Jeongbae , Hwang Changha
Published: September 2023

Regional visit satisfaction of visitors can be increased by raising the regional attractiveness of recognized local stories. The purpose of current study is to explore the internal suitability of a confidence level for analyzing impacts to recognized local stories’ regional attractiveness empirically and the Cronbach’s alpha for the questions related to recognized local stories elements of a regional attractiveness showed good internal suitability with 0.905 and 0.874. As a result of proceeding with a regression analysis for verifying a study model, the power (the factors which are uniqueness, portrayal, understandability, and sensibility) of the recognized stories suggested from the study model and the regional attractiveness (the factors which are education, significance, and experientiality) are selected as they affect significant impacts. Local brand creations and expansions can be important cultural values for vitalizing a local economy via the study of the relationships (differences) between recognized local stories and regional attractiveness. In this study, the validity of each measure’s variable used for the study's basic static analysis and each scale construction, and the credibility whether the measures variables are consisting of latent variables consistently were verified. And it is experimented if the recognized story's regional attractiveness relationships (differences) can be applied to this study by suggesting the hypothesis adoption status via regression analysis verifying causal impacts between variables. These were very meaningful in this study. Because if we study that regional story content elements are very effective in regional activation by increasing regional attractiveness for visitors then it might be able to be systemized theoretically and be used for practical businesses.
Research on the Development Process and Competitiveness of Central Asian bank in Indonesia
Authors: Xu Xinyu , Choi Myeongcheol , Park Joengsu , Cheng Jie , Meng Chuijie
Published: September 2023

This study aims to analyze the development process and current status of the Indonesian banking industry. In addition, we will investigate the founder, development process and current status of Bank Central Asia, an overseas Chinese bank that plays a central role in the Indonesian banking industry and analyze its competitiveness. Based on this analysis, we would like to propose practical implications and development strategies. Based on literature research, we will investigate the development process and current status of the Indonesian banking industry, the founders of Bank Central Asia, the development process and current status, and analyze its competitiveness. Using Porter's five forces analysis model, we want to analyze the competitiveness of Bank Central Asia. By utilizing SWOT analysis, we analyze the internal and external environment of Bank Central Asia. Bank Central Asia, although founded by overseas Chinese, is a leader in Indonesia's financial industry. Bank Central Asia has weaknesses in digital transformation, product innovation, customer experience, risk management, cooperation and innovation, but has strengths in network expansion, talent training, promotion and development system improvement. Based on this competitiveness, we have maintained a leading position in the Indonesian financial market. When formulating and executing strategies, Bank Central Asia must fully consider market trends, competitor dynamics, and changes in policies and regulations, make sound decisions, and monitor and adjust plans at any time. Bank Central Asia has maintained a good reputation and sustainable development based on external networks and internal competitiveness. A study on these overseas Chinese banks helps to understand the Southeast Asian economy.
Talent identification and development in Olympic triathlon: a perspective from Brazilian coaches
Authors: Vieira Leandro Albuquerque , Werneck Francisco Zacaron , Coelho Emerson Filipino , Miranda Luciano , Lima Jorge Roberto Perrout de
Published: September 2023

Abstract The knowledge of coaches has been used in research on talent identification and development. The objective was to investigate how Brazilian triathlon coaches identify talents and what is the importance of different factors and indicators for the development of young triathletes. 37 coaches (89% male; 36.2 ± 8.3 years; 43% international competitive level) answered an online questionnaire about anthropometric, physical-motor, technical, tactical, psychological and environmental characteristics. On a scale of 1 (not very important) to 5 (extremely important), coaches indicated to what extent a factor/indicator of sporting potential was important for talent development in triathlon. 45.9% of the coaches perform talent identification, mainly by physical-motor tests and triathlon simulations. In talent development, the physical-motor factor was the most important, followed by the technical, psychological and anthropometric factor, and finally the tactical and environmental factor. Most coaches considered as extremely important the following indicators: determination (70%), aerobic endurance (65%), specific swimming skills (62%), ability to withstand pressure (59%), and efficiency of the cyclic gesture of swimming, cycling, and running (57%). We conclude that Brazilian triathlon coaches identify talents mainly through batteries of tests and triathlon simulations and consider the physical-motor factor the most important for the development of young talented triathletes, but not the only one.
Epidemiologic profile and prevalence of live births with orofacial cleft in Brazil: a descriptive study
Authors: Silva Adriana Mendonça da , Calumby Rodrigo Tripodi , Freitas Valéria Souza
Published: September 2023

ABSTRACT Objective: To describe the epidemiological profile and prevalence of live births with orofacial clefts in Brazil between 1999 and 2020. Methods: Descriptive study. The population corresponded to live births with isolated orofacial clefts in Brazil registered in the Live Birth Information System between 1999 and 2020. Descriptive variables were selected according to their availability and grouped into socioeconomic and demographic, maternal and child health care, and biological variables. Data were submitted to a descriptive analysis using the Software for Statistics and Data Science (STATA). Results: During the period, 33,699 children were born with orofacial clefts, and 82.1% (27,677) of them were isolated clefts. Regarding these cases, the majority were cleft lip and palate (9,619 or 34.7%), followed by cleft palate (9,442 or 34.1%), and by cleft lip (8,616 or 31.3%). Conclusions: Live births with orofacial clefts in Brazil were male, white, with birthweight ≥2,500 g and gestational age ≥37 weeks, born by cesarean section, and with Apgar scores ≥7. The cases were more frequent among mothers who were in their first and single pregnancy and had seven or more prenatal appointments. The mothers were 20 and 29 years old, had eight to ten years of study, and were single. The national prevalence of clefts was 4.24/10,000. The South and Southeast regions of Brazil had the highest prevalence, while the lowest prevalence was recorded in the Northeast and North regions. For the Federative Units, the highest and lowest prevalences were found, respectively, in Paraná and Acre.
Effect of sisal fibre treatment on the hydration and thermophysical properties of a cement biocomposite
Authors: Bahja Bouchra , Omari Lhaj el Hachemi , Tizliouine Abdselem , Elouafi Assaad , Salhi Hayat , Chafi Mohammed
Published: September 2023

Cement-based biocomposites are a current area of construction research. Plant fibres retard the setting times of cement due to their hydrophilic nature and the thermal properties of raw cement mortar containing plant fibres can be problematic. This aim of this work was to study the effect of fibre treatment to reduce the hydrophilicity of natural fibres while enhancing the thermal properties of the cementitious matrix. The first part of this study focused on structural and morphological aspects. Scanning electron microscopy showed a tiny calcium layer around the sisal fibre treated with sodium hydroxide and paraffin oil on the adhesion surface. Fourier transform infrared spectroscopy revealed a disparity in the peaks of the absorption bands of calcium carbonate and calcium hydroxide. The treatment slowed the alkaline hydrolysis and mineralisation of the fibre cell walls in the interfacial transition zone, thus promoting cement hydration. The second part of this work was a thermophysical study of the composites. The inclusion of sisal fibres led to remarkable decreases in thermal conductivity and heat capacity. The best thermal properties were obtained for the composite with sisal fibre immersed in paraffin oil. Biomortars with treated sisal fibre are thus promising from an insulation point of view.
Behaviour of a laterally loaded short-finned pile located on sloping ground
Authors: Krishnanunni Kaloor Thottooli , Rathod Deendayal
Published: September 2023

Finned piles are considered a novel solution to replace large-diameter piles supporting transmission towers, bridge abutments and so on and are often implemented beneficially for mooring dolphins in offshore areas. This experimental investigation was attempted to examine the lateral response of short-finned piles installed in the proximity of a typical slope of 1V:2H. The 1g model testing of regular and finned piles at different load eccentricities comprised three lateral load tests on horizontal ground and 24 lateral load tests on the slope with the pile at varying distances from the crest. The fin efficiency was observed to decrease with an increase in load eccentricity due to the poorer mobilisation of soil resistance on fins at higher load eccentricities. The finned pile installed at a distance of two pile diameters away from the crest exhibited a net efficiency closer to unity, indicating its ability to improve the receptible subgrade reaction near a loose and steeper sandy slope. An in-depth study of soil resistance developed in the finned pile located at the crest reveals that the fins effectively reduced the soil resistance, specifically in the region above the pivot point.
severe case of Pembrolizumab-induced triad of myasthenic crisis, myocarditis, and anti-SSA myositis
Authors: Mahmoud Rola , McGraw Nathan , Poindexter Amy , Warikoo Gowri
Published: September 2023

A man in his late 70s presented with one week of progressive chest and muscle pain, generalized weakness, and fatigue. He received a single infusion of pembrolizumab three weeks prior as adjuvant immunotherapy for stage IIb malignant melanoma after undergoing wide local surgical excision. He was started on steroids for pembrolizumab-induced myositis and myocarditis. Symptoms progressed to include severe dyspnea, dysphagia and eyelid ptosis requiring tracheostomy and PEG tube placement. Serologic studies ultimately confirmed myasthenia gravis and anti-SSA myositis. 

He was emergently treated with plasma exchange, pyridostigmine, Intravenous Immunoglobulin (IVIG) and is making gradual improvement with physical therapy and oral prednisone taper.

We report a severe case of Pembrolizumab-induced triad of myasthenic crisis, myocarditis with myositis specific anti-SSA 52kD Ab IgG autoantibody for the first time. More studies are needed to assess the clinical significance and prognostic value of this autoantibody in patients presenting with Pembrolizumab-induced triad.
Intraneural ganglion cyst of the peroneal nerve at the lateral knee: A case report and literature review
Authors: Morena Jonathan , Yang Brian , Lee Steve , Paul Dustin , Leung Dora
Published: September 2023

Introduction: Intraneural ganglion cysts can arise from the peroneal nerve at the lateral knee secondary to synovial fluid tracking along the articular branch and transforming within the nerve into a mucinous cyst, resulting in nerve compression.

 

Case Report: A 17-year-old right-handed male presented with a four-month history of right foot drop. He is physically active and attributed the foot drop to a sprained ankle. EMG/NCS showed a right common peroneal neuropathy distal to the innervation of the biceps femoris short head with active denervation. MRI showed an intraneural ganglion cyst in the common peroneal nerve starting at the level of biceps femoris. On exam, he had right foot drop and sensory deficits referable to the peroneal distribution, along with a right steppage gait. He had successful decompression of the ganglion cyst, excision of the articular branch and resection of the proximal tibiofibular joint, with clinical improvement.

 

Conclusion: Early recognition and surgical treatment leads to better outcomes for patients when an intraneural ganglion cyst results in neurologic deficits. Physical activities and trauma, which increase stress on the knee joints, may predispose ganglion cyst formation within peroneal nerves. Fibers of the deep peroneal nerve may be preferentially affected when compared to the superficial peroneal nerve. Disconnection of the articular branch and proximal tibiofibular joint resection may decrease risk of recurrence.
RYR1 myopathy complicated by RSV bronchiolitis requiring intubation leading to posthypoxic leukoencephalopathy in a 4 year-old.
Authors: Czerwinski Vincent , Sood Shawn , Perez Marques Francesca , Langner Travis , Dahlstrom Kelly , Summers Kyle
Published: September 2023

Central core disease due to RYR1 mutations is a rare heterogeneous myopathy characterized by skeletal muscle weakness. In light of both the rarity of presentation as well as the relatively broad spectrum of clinical phenotypes, there is a need to report treatment strategies for common complications of this condition. In this case, we outline the ICU management of a 4 year-old girl with central core disease caused by RYR1 mutation who was hospitalized due to respiratory syncytial virus (RSV) bronchiolitis leading to respiratory failure. Her hospital stay was complicated by multiple failed extubations, hospital infections, and post-anoxic leukoencephalopathy.