Reviewerly/exHarmony huggingface dataset:
Human Action Recognition Using Dense Trajectories

Objective: To develop a robust and effective computer vision system that can automatically identify and classify human actions in video data, considering the temporal dynamics and various environmental conditions. This technology has numerous applications in surveillance, human-computer interaction, and video analysis. Methods: The key methods for dense trajectory extraction include the dense optical flow, which computes motion vectors for each point, and the use of key point detectors like the Scale-Invariant Feature Transform (SIFT) or the Harris corner detector. Findings: By describing the motion of the trajectories, trajectory descriptors produce remarkably strong results on their own, such as 90.2% on KTH and 47.7% on Hollywood2 for dense trajectories. This demonstrates the significance of the motion data present in the local trajectory patterns. Because the trajectory descriptors catch a lot of camera motion, we only report 67.2% on YouTube. Novelty: In this study, a method for modelling movies that combines dense sampling and feature tracking is presented. Compared to earlier video descriptions, our dense trajectories are more reliable. They effectively capture the motion data in the movies and outperform cutting-edge action categorization techniques in terms of performance. Keywords: Human action recognition, Scale-Invariant feature transform, Histograms of oriented gradients, Spatial and temporal interest points, Histograms of optical flow
Technologies for creating digital educational resources in primary education

This article presents theoretical aspects regarding information and communication technology (ICT) by referring to the way of integrating ICT in the educational process, the advantages on the training of students' skills with the help of digital resources, but also the limitations that may arise. Suggestions on technologies for creating digital resources in primary education are also offered.
An Empirical Study on the Applicability of the Customer Satisfaction Index Model in Guiding the Adoption of Supply Chain Management Systems Among Businesses in Saudi Arabia

Objectives: This research aimed to identify the factors that influence the effective adoption of supply chain management systems, specifically focusing on customer satisfaction in the context of Saudi Arabia. Methods: Data was collected through convenience sampling, targeting a proposed sample size of 1000 individuals representing diverse nationalities and areas. A total of 629 valid responses were obtained. Path analysis was conducted using the Structural Equation Modeling (SEM) method and the AMOS 21 analytical tool. Findings: The results of the analysis showed a reasonably good fit between the model and the data, as indicated by the following statistics: Chi-square (2701.069), Chi-square / DF (5.204), RMSEA (0.042), PCFI (0.757), and TLI (0.848). The findings confirmed all hypothesized relationships, except for the relationships between customer expectations and customer satisfaction, as well as perceived quality and customer satisfaction, which lacked significant statistical associations. Additionally, the study revealed that customer expectations strongly predict perceived performance, perceived performance strongly predicts customer satisfaction, and customer satisfaction strongly predicts customer retention. Novelty: The research provides novel insights into the factors influencing the adoption of supply chain management systems and their impact on customer satisfaction and retention in the Saudi Arabian market. The study also highlights the relationships between customer expectations, perceived performance, customer satisfaction, and customer retention, contributing to the existing body of knowledge in this field. Implications: These findings have practical implications for decision-makers, offering guidance for enhancing the successful implementation of supply chain management systems. By improving customer satisfaction and retention, businesses can refine their product and service quality, ultimately leading to customer referrals and potential client acquisition. Overall, the study emphasizes the importance of adopting efficient supply chain management systems in achieving customer satisfaction and retention goals in the Saudi Arabian market. Keywords: Customer Satisfaction Index (CSI), Technology Adoption, Supply Chain Management Systems, Driving Forces, Challenges, Saudi Arabia
Real and virtual experiments for the interactive digital textbook of physics grade VII

The paper contains information regarding how to create and include in the content of the interactive digital textbook Physics 7th grade virtual and real laboratory activities. The real activities are presented in video format and the virtual ones were created in the Delphi 10 visual programming environment.
Evaluation of school results in primary education: psycho-pedagogical aspects

This article focuses on psycho-pedagogical aspects related to school assessment. The focus is on the small schoolchild, as an evaluated subject. The problems related to the size of the proposed school evaluation are presented and are viable teaching solutions.
Moral-spiritual education of children through ecological excursions

In this article, the author describes the importance of ecological excursions in the moral and spiritual education of young children. The author describes the theoretical-methodological aspects of ecological excursions. Also, in the article we can read about the possibilities of achieving the moral-spiritual education of children, that are justified by the curricular documents in the field of early education. In the initiated research are presented the results of diagnosing the level of moral-spiritual education of preschoolers, according to Ovciarova's methodology. In the article we find a series of activities that can be used in ecological excursions, for the purpose of moral-spiritual education of preschoolers.
Android Based Disaster Management Application Using Machine Learning

A good saying” Precaution is better than cure” for emergency situations. Natural disasters in India, many of them related to the climate of India, cause massive losses of Indian life and property. Droughts, flash floods, cyclones, avalanches, landslides brought on by torrential rains and snowstorms pose the greatest threats. Landslides are common in the Lower Himalayas. Parts of the Western Ghats also suffer from low-intensity landslides. Floods are the most common natural disaster in India. Therefore, developing a system which can monitor as well as providing instructions on basis of current disaster using Supervised learning, reducing time for quick actions, Google map API for locating nearby locations, Disaster prediction using data analytics. The mobile application will have four tabs: Alert buzzer, weather forecast, the menu tab and the communication forum. Furthermore, the system notifies the users through SMS and even through the forum whenever there is the alert notification posted on the application Using system can help a great deal in the planning and implementation of disaster mitigation schemes. Keywords: ML-Machine Learning, SVM-Support Vector Machine, NDRF-National Disaster Response Force, SDRF-State Disaster Response Force
Acceptance and User Needs of Coaching Chatbots: An Empirical Analysis of a StudiCoachBot’s Conversation Histories

As technology advances, AI-based coaching continues to offer new opportunities in supporting humans. The StudiCoachBot of TH Koeln/University of Applied Sciences is a coaching chatbot, that is designed to support students with exam anxiety through low-threshold self-reflection. It is an intent-based AI-supported chatbot and is developed in the Conversational AI framework Rasa. This paper gives insights into how iterative development of coaching chatbots can be a key factor for successful chatbot design in terms of acceptance and user needs. Our study consists of two parts: In the first part, we present the iterative development of our coaching chatbot, consisting of user testings with several hundred test users. In the second part, we present the results from our field test after the chatbot release. We collected and evaluated conversation histories and questionnaires from users for a period of 10 weeks. Our results include the evaluation of 242 conversations and 24 questionnaires. On the one hand, the results provide information about access numbers and rates as well as chatbot coaching topics accessed by users. On the other hand, the data shows high acceptance rates and that users can build a relationship in chatbot coaching (measured via working alliance). However, users perceived naturalness of the conversation only moderate. This is understandable, as our intent-based chatbot only allows us to react flexibly to a limited extent to free user input. In a next iteration, we will therefore improve the conversation with the help of large language models to make it more natural.
Access Control Application Prevention and Mitigation of Cyber Attacks

In the rapidly evolving landscape of cyber threats, safeguarding digital assets has become paramount for organizations worldwide. This paper presents a comprehensive analysis of access control applications as a frontline defense against cyber intrusions. We delve into the mechanics of contemporary access control systems, highlighting their role in preventing unauthorized access and ensuring data integrity. Drawing on real-world case studies, we demonstrate the efficacy of robust access control measures in thwarting cyber-attacks and mitigating their potential impacts. Further, we explore the challenges faced in implementing these systems, such as ensuring scalability, managing user privileges, and maintaining system resilience. Our findings underscore the indispensable nature of access control applications in today’s digital age. By offering actionable insights and best practices, this paper aims to guide organizations in fortifying their digital infrastructures against the ever-present threat of cyberattacks. To ensure the security of data, it’s essential to update automation processes periodically. This not only safeguards the transfer of information, ensuring its authenticity and confidentiality, but also prevents tampering or misinformation. Incorporating access control into the security strategy can address this concern. Access control restricts data access to designated individuals within the organization. However, there’s an inherent risk: permissions could inadvertently be granted to unintended parties. To mitigate this, we recommend several solutions, with multifactor authentication being a prominent option for future implementation.
Enhancing Sustainable Development Through Electrooculography Based Computer Control System for Individuals with Mobility Limitations

Electrooculogram (EOG), the bio-potential produced around eyes due to eyeball motion can be used to track eye movements. This system is especially helpful for individuals with motor disabilities like ALS (Amyotrophic Lateral Sclerosis) and paralysis. The research describes a method of controlling the mouse cursor on a computer screen using a technique called Electrooculography (EOG). EOG could detect the electric potentials generated by eye movements and blink features. The recorded EOG signal is then analyzed to identify and classify the relevant eye movement features. These features are then used to generate control signals that allow for cursor movement. The results show that the cursor control application is highly accurate when tested offline.
Advanced Machine Learning Techniques for Early Detection of Leukemia

This research investigation explores the efficacy of Convolutional Neural Network (CNN), a sophisticated deep learning technique, in the prompt identification of leukemia. Prompt recognition of leukemia, a potentially life-threatening malignancy affecting the blood and bone marrow, plays a vital role in enhancing patient outcomes. Machine learning (ML) algorithms have demonstrated promise in this domain, with CNN emerging as exceptional due to its proficiency in extracting intricate features from raw data. In this study, we conduct a comparative analysis of the performance and effectiveness of three ML algorithms: Support Vector Machines (SVM), Random Forests (RF), Artificial Neural Networks (ANN), and CNN. By employing a dataset consisting of blood samples obtained from individuals afflicted with early-stage leukemia as well as healthy subjects, we train and assess these models. Our findings indicate that all models achieve exceptional accuracy and precision in detecting early-stage leukemia. Nonetheless, CNN outperforms the other ML algorithms and ANN in terms of both accuracy and efficiency. The automatic acquisition of hierarchical representations of features from raw data, such as blood samples, empowers CNN to capture intricate patterns that conventional ML algorithms may struggle to discern. These results underscore the potential of CNN as a potent instrument for substantially enhancing the detection and diagnosis of early-stage leukemia, thereby emphasizing its value in the battle against cancer.
Yoga Pose Trainer and Analyser: Machine Learning (TensorFlow and Open CV)

The "Yoga Pose Trainer and Analyzer" is a sophisticated software system designed to enhance the yoga experience for practitioners of all levels. This project combines computer vision, machine learning, and user-friendly interfaces to provide valuable insights and guidance during yoga sessions. Users can interact with the system, receiving real-time feedback on their yoga poses and personalized recommendations to improve their practice. The core functionalities of the system include pose recognition and classification. Using advanced computer vision techniques, the system identifies key points on the user's body and classifies their pose, accurately determining which yoga asana (pose) they are performing. Additionally, users can specify their goals or desired poses, and the system tailors their practice accordingly. The software provides a comprehensive library of yoga poses, offering detailed instructions and highlighting the benefits of each pose. Users can track their progress over time, set goals, and receive guidance on how to achieve their objectives. Safety and privacy considerations are paramount, with the system promoting proper form to prevent injury and ensuring user data security.
Research of Online and Offline Blended Teaching of College Mathematics

The traditional teaching model faces significant challenges in the era of information technology, while the blended learning model that integrates information technology and educational instruction has become an undeniable trend. Blended learning, which combines online and offline elements, can achieve complementary advantages to a greater extent, effectively enhancing the quality of teaching and promoting students' competence. This article explores the blended learning model, using higher mathematics courses as an example.
Linguistic Features of Multilingual Hate Speech in the Online “Bardagulan”

"Bardagulan" is the slang used in the Philippines to describe an online dispute wherein Filipino netizens trade hate speech. The term was derived from the Tagalog word "Bardagul" which means conflict and is now employed to denote differing viewpoints (Yaneza, 2022). During the 2022 Presidential Election, a variety of hate speech was heard and seen, prompting the researcher to determine the linguistic characteristics of hate speech on Philippine social media. To demonstrate the complexity of hate speech in the Philippines, the researcher devised a research question centered on various linguistic features such as form, type, social aggression, impoliteness strategies, and the structure of hate speech to improve the understanding of how hate speech functions in actual online social discourse. It is crucial that all social media users possess knowledge regarding the linguistic features that distinguish hate speech, so that they may effectively report unpleasant remarks posted online. Multimodality and content analysis were also utilized to analyze 190 specimens of hate speech since the researcher considers hate speech as a multimodal phenomenon. This study suggests that the distinctive linguistic characteristics of multilingual "Bardagulan" hate speech contribute to the challenges encountered in eradicating hatred within the realm of Philippine social media. It was found that social media users in the Philippines employ grammatical and linguistic innovations to conceal profanity and circumvent digital content censorship. Moreover, the primary results indicate that behavior of Filipino internet users displayed via impoliteness in words, images, and emojis promote the proliferation of hate speech since they have a propensity to engage in confrontational discourse, with an aim to persuade the audience and to defend their own points of view.
Development of E-Library Applications for Sociology Learning

The background of this study is the lack of learning resources owned by students during the sociology learning process. The purpose of this study is to produce a feasible and practical E-Library application for learning Sociology. The type of research used in this research is Research and Development (R&amp;D). The development model used in this development research is the ADDIE development model. The research instruments used included: validation sheets and practicality questionnaires. Data collection techniques are carried out using observation, tests, questionnaires, and documentation. The results showed that the media validation test for the media expert's assessment of the E-Library 1 application was 96% "very feasible", and the media expert's assessment 2 of the E-Library application was 95% "very feasible". The final score of the eligibility validation of media experts is 95.5% so the E-Library application for sociology learning is "very feasible" to use. Meanwhile, the material validation test for material expert 1's assessment of the E-Library application was 93% "very feasible", and material expert 2's assessment of the E-Library application was 87% "very feasible". The final score of the material expert feasibility validation is 90% so the E-Library application for sociology learning is "very feasible" to use. Furthermore, the results of the particulate test by students were 92%, and the value was categorized as "very practical". Based on this assessment, it can be concluded that the E-Library application for sociology learning has received good responses from users so that it is practically used in a learning process.
Implementasi Sistem Informasi Manajemen Pendidikan dalam Meningkatkan Mutu Pendidikan di Madrasah

This research explains how MI Al Muhtadin Plumbon uses an education management information system to improve the quality of education. The education management information system was created to meet the needs of madrasahs. Madrasas want computerized management of academic activities to improve service quality and to facilitate the teaching and learning process in madrasas. Methods of data collection, research using observation, interviews, and documentation. The results of the study show that MI Al Muhtadin Plumbon has implemented an education management information system through the use of various applications. Among them is the SIMPATIKA application (information system for educators and education staff of the ministry of religion), the internet-based learning application used at MI Al Muhtadin through YouTube Kids and Quizz media, as well as the new student admissions application (PPDB). At MI Al Muhtadin there are several elements that support and hinder the implementation of SIMDIK. The inhibiting element in the implementation of the education management information system is the lack of understanding of human resources related to technology, and what supports the implementation of the education management information system are the many parties who help and work together to overcome the limited human resources at MI Al Muhtadin Plumbon.
Peningkatan Minat Baca Siswa Melalui Pekan Literasi dan Pembiasaan 15 Menit Membaca: Studi Kasus MI Mulyadarama Girimukti

The School Literacy Movement (GLS) has been implemented since March 2016. However, its implementation is still not effective in West Java. This study aims to increase reading interest in MI Mulyadarma, Girimukti Village, Cipongkor District, West Bandung Regency. This school has limited internet access, book diversity, and school facilities, that are below the standards of an ideal school. Student’s interest in reading is increased in two ways. The first way is by encouraging 4th-6th grade elementary school students to read for 15 minutes before the class starts, for 3 weeks. The second way is by providing mini libraries in each classroom. Data collection was done using questionnaires. The questionnaire was given before and after the program, so that the achievement of the program could be evaluated. The result shows that the reading habit for 15 minutes before class and providing mini libraries in the classroom successfully increased students’ interest in reading significantly. Students who read books for more than 60 minutes per day increased by 33%. Student interest in reading increased by 64%, while their reading awareness increased slightly by 12.5%.
PENGARUH SISTEM INFORMASI AKUNTANSI DAN SISTEM PENGENDALIAN INTEREN TERHADAP PENERIMAAN OPINI WTP PADA PEMERINTAH DAERAH KABUPATEN TANAH DATAR

This study aims to determine the effect of accounting information systems and internal control systems on the acceptance of WTP opinions in the Regional Government of Tanah Datar Regency. This type of research is a type of field research (Field Research) with a quantitative approach. The technique used in sampling is Quota Sampling. Data analysis techniques used were validity, reliability, descriptive statistical analysis, and classical assumption tests, multiple linear analysis tests, and hypothesis testing, with the help of the SPSS version 26 program. The results showed that the application of accounting information systems had a significant effect on acceptance of WTP Opinion Tanah Datar District Government. The internal control system has no significant effect on the acceptance of WTP opinion at the Regional Government of Tanah Datar Regency. The accounting information system and internal control system have a significant effect on the acceptance of WTP opinions in the Regional Government of Tanah Datar Regency. The accounting information system and internal control system have a significant effect on the acceptance of WTP opinion at the Tanah Datar District Government together.&#x0D; &#x0D; Keywords: Accounting Information System; Internal Control System; and Opinion of WTP
Pelaksanaan user education (pendidikan pemakai) di Perpustakaan Universitas Mercu Buana Yogyakarta

User education activities in college libraries are activities provide information on utilizing library services properly and correctly. UMBY Library organizes this activity for new and old students who have not participated and makes this activity routine agenda is carried out at the beginning of each new school year. This study aims to determine the implementation and role of user education in the utilization of services the UMBY library. The research method used is qualitative research by taking 11 respondents consisting of one Head of Library and three Librarians in the technical implementation section as well as three students of class 2021 and four students of class 2022. The data collection methods used are observation, interview, and documentation. The results of this study indicate that the implementation of user education in the UMBY library in the 2022/2023 academic year was carried out with adjustments to the covid-19 health protocol because it was carried out during a pandemic, then the implementation of user education was only carried out with two models, namely library orientation and library teaching using the lecture method. The role of user education seen from the utilization of available services, searching for information, and the ability to use services.