Reviewerly/exHarmony huggingface dataset:
Improving the YOLOV7 Algorithm for Object Detection within Recorded Videos

Object detection algorithms play an important role in detecting people in surveillance videos. In recent years, with the rapid development of deep learning, the performance of object detection has improved by leaps and bounds, and the scheme of object detection by the YOLOV7 algorithm has also been born. Traditional object detection methods often fail to achieve a balance between speed and accuracy. To address these issues, in this research, an improved YOLOv7 algorithm performance is proposed to get the best speed-to-accuracy balance compared to state-of-the-art object detection within recorded videos using an effective compression method. This method calculates the difference between frames of video, and by using the zero difference approach by removing the duplicate frames from the recorded video and choosing only the meaningful frames based on many variables, including frame size, frame details, and the distance of the frames, influence the choice of a meaningful frame, and this will reduce the size of the video by eliminating the frames comparable to those chosen. Additionally, any other datasets or pre-trained weights have not been used; YOLOv7 has been exclusively trained on the MS COCO dataset from scratch. In order to ensure the effectiveness of this approach, numerous detection systems are used in this work. Additionally, positive performance results to reduce the processing time required for object detection have been attained.
Academic Citizenship Behaviour Mediates Between Green Compensations and Rewarding, Green Recruitment and Selection, and Organization Environmental Performance in The Jordanian Government Universities

Background: This paper examines the academic citizenship behaviour mediating the effect between green compensation and rewards, green recruitment and selection, and organization environmental performance in Jordanian government universities. Methods: The paper contributes to filling this research gap by examining these effects. A sample of 404 employees in the Jordanian Government universities was analysed using contemporary variance-based structural equation modeling (Amos - SEM) software. Results: The results indicated a positive association between green compensation and rewards and two variables, namely academic citizenship behavior, and organization environmental performance. They also indicated a positive association between green recruitment and selection and two variables: academic citizenship behavior and organization environmental performance. As well as between academic citizenship behavior and organization environmental performance. Furthermore, they showed mediating effects of academic citizenship behavior in the relationship between green compensation and rewards and organization environmental performance and between green recruitment and selection and organization environmental performance. Conclusion: This paper helps to provide insights to HRM practitioners, shedding light on the importance of GHRM practices and their role in enhancing organization environmental performance.
Analysis of Visual Communication as a Means of Facing the Challenges of Technological Development in a Securities Company

This illustrates that all countries have the same goals in seeking growth, development, progress, and continuous learning to face challenges in the future. The visual emails presented in this study aim to expand the understanding of the denotative, connotative, and mythical meanings believed to be true through the application of the value expectation theory. This theory provides a comprehensive approach to understanding how individuals form and interpret the meaning of a concept or idea, considering the aspect of value expectation. In this research, Roland Barthes' semiotics method is employed for analyzing main interpretations and representations to unravel the denotative, connotative, and mythical meanings in the presented visuals. Data collection techniques involve focus group discussions and structured in-depth interviews aligned with investor feedback. Based on the research results, exploration will be conducted on how individual perceptions of value influence their interpretation of visual understanding. This is supported by the expectation from feedback that investors desire visuals and text to support technical knowledge and portfolio growth based on the visual analysis provided by the securities company.
Literasi Dasar Bagi Para Siswa Sekolah Dasar

Basic literacy is a basic priority or priority scale that needs to be strengthened and stabilized. The cultivation and formation of basic literacy skills is a real manifestation of the mental revolution program, even mental evolution. Therefore, basic literacy needs to be strengthened because it is the foundation for the lives of future generations. Apart from that, the basic literacy movement that is being intensified aims to support the realization of free humans. What is meant by free humans are free humans who can read and write to gain knowledge and use this knowledge for the good and sustainability of their lives. This article discusses the implementation of Community Service in Rangalaka Village, Kotabaru District, Ende Regency, which will take place from 1 to 30 August 2022. The focus of service activities is the implementation of basic literacy activities in the form of tutoring for students in Rangalaka Village, namely Lewoketo Inpres Elementary School and Satap Ligalejo Middle School. Tutoring is focused on elementary and junior high school students to provide knowledge strengthening, instilling a virtuous attitude in students so that they have good knowledge and attitudes in facing their future.
Exploring the Literature of Data Analytics Services on Cloud Computing: A Comprehensive Summary

Data generated from the internet and modern applications is extensive and rapidly expanding. So, all modern applications must successfully perform tasks using this massive data. Therefore, one of the significant factors for the success of any application is understanding and extracting meaningful information using digital analytics tools to positively impact the application's performance and deal with challenges that can be encountered. On the other hand, cloud computing is simply an environment comprising a collection of high-performance services from various vendors. These services can frequently access and process massive amounts of data faster than a traditional computer. One of these services is cloud analytics, which applies cloud-based analytic algorithms against data in a private or public cloud to get the desired outcome. This paper differentiates between several analytics methodologies to create highly consistent, logical, and information-rich summaries. This research has discussed and analyzed many studies related to this field. Therefore, the results of this paper can be utilized to determine the advantages of these methods, which will help future researchers in their research for a more organized and thorough analysis when dealing with such applications. In addition, this paper attempts to discover new directions and propose new guidelines in this evolving field.
Rancangan dan Efektifitas Media Pembelajaran Audiovisual pada Mata Kuliah Bahasa Prancis Pariwisata

The Covid-19 pandemic has brought considerable changes in the world of education. Learning methods that were previously carried out face-to-face must switch to online methods. This requires teacher innovation and creativity so that learning material can be conveyed properly. One of the learning media that is very helpful in distance learning is to use audiovisual media. This research is a needs analysis that aims to be able to find out the responses and needs of students towards the audiovisual media used so far in French Language Courses. Qualitative and quantitative methods were used in analyzing data in the form of questionnaires and interviews. The results of the analysis show that the use of audiovisual media as learning material gets a positive response from students. Students also hope that audiovisual material can be developed even better, including short durations, added interesting animations, subtitles so that students understand conversations, as well as repetition in terms of pronunciation and material summaries at the end of the video.
Enhancing Generic Skills Development in Higher Education in the Era of Large Language Model Artificial Intelligence

The recently developed large language model artificial intelligence (AI) systems, such as ChatGPT, are likely to become widely used over the next few years as core tools in many areas of business. Higher education graduates will need to be adequately prepared with the necessary generic skills to exploit this technology and a detailed understanding of the risks of using it and related ethical aspects to maximize their employability. Higher education institutions will need to develop training to support this and a conceptual multi-layer framework is proposed for generic skills development in higher education relevant to the emerging new era of large language model AI. This model encapsulates traditional generic skills training for employability, the extended skill sets needed for operating as independent knowledge-workers in increasingly fragmented working contexts, and the new sets of skills in areas such as prompt engineering, output verification and bias detection, which are needed specifically for operating as effective users of advanced AI systems in business.
Analisis Penggunaan Shuujoshi Joseigo oleh Kuroko Shirai pada Anime "Toaru Kagaku No Railgun" Episode 1-3

This research aims to describe the types of shuujoshi joseigo and their functions used by Kuroko Shirai in anime entitled Toaru Kagaku no Railgun in 1–3 episodes. The data were analyzed using Sudjianto (2007) &amp; Pestemer's theory (2003). This qualitative descriptive research used listening and note-taking methods to collect the data. The results of this study are 114 data which are divided into nine types of shuujoshi joseigo used by Kuroko Shirai's character, namely 29 data of shuujoshi wa, 10 data of wane, 6 data of wayo, 53 data of no, 11 data noyo, 2 data of mono, as well as 1 data for each none, kashira, and teyo, whose functions are to soften sentences, provide information, show admiration and impression, express subtle question sentences, justify the situation, show assertiveness, express opinions, emphasize opinions, and express doubts
Purified Konjac Glucomannan as Thickener for Substituting Gelatin in Making Panna Cotta

A thickener such as gelatin is essential in increasing viscosity and forming a gel system. Nowadays, gelatin is one of the most popular thickeners in food, pharmacy, and cosmetic products. Animal skins which lead to halal issues are still common sources of gelatin. Crude konjac flour (CKF) which is sourced from porang tubers and has a high degree of purity of glucomannan (GM) is a potential substitute for animal skins. Moreover, the use of KGM also supports national programs of processing agricultural products into finished products ready to export. This study applies five different CKF variants as panna cotta (PC) thickener: CKF from the fresh bulb of porang (Amorphophallus oncophyllus sp.) (CH-UP), CKF from chips of Porang (CH-CP), a native CKF, as well as laboratory-purified products of CKF (&gt;90%-w of GM content) (DM-CKF-M3X-50, and DM-CKF-M3X-96), and commercially products of porang flour (K-TPO and K-TPM) were applied to make PC; substituting gelatin. Only CKF, DM-CKF-MX-50, and DM-CKF-M3X-96 successfully thickened PC in terms of appearances. Further, organoleptic analysis was applied to CKF, DM-CKF-MX-50, and DM-CKF-M3X-96. According to the organoleptic analysis, PC with CKF, DM-CKF-MX-50, and DM-CKF-M3X-96 was more preferred by the respondents than commercial PC. In overall, CKF application on PC exhibited improved sensory properties and tastes of PC.
Prediction of Palm Oil Production Results PT.KSI South Solok Using Ensemble k-Nearest Neighbor

In 2022 PT. KSI experienced a decline in palm oil production due to replanting steps. In managing palm oil production PT. KSI has problems with palm oil production results not reaching targets so that it can affect the Company's Work Plan and Budget, therefore it is very necessary to predict palm oil production results so that all palm oil production and processing activities can run according to plan. The ensemble technique is a method which has predictive accuracy capabilities and is very efficient to use in the k-NN method, so there is no need to search for the optimal k value. Based on the results of the analysis that has been carried out, it can be seen that by using an ensemble the level of accuracy is 9.36%, which is considered high accuracy compared to just using a single kNN with k = 1 of 10.84%. So it can be concluded that the model has worked well with the data.
Fuzzy K-Nearest Neighbor to Predict Rainfall in Padang Pariaman District

Rainfall is the amount of water that falls to the ground surface during a certain period which is measured in millimeters. The amount of rainfall can be estimated or predicted. One method used to predict rainfall is Data Mining, namely computer learning to analyze knowledge automatically so that a perfect new model is obtained. One of the best prediction algorithms in data mining is Fuzzy K-Nearest Neighbor (FK-NN) which uses the largest membership degree value from the test data in each class to determine the class. The number of sample classes obtained from rainfall data in Padang Pariaman Regency experienced unbalanced classes. One way to handle imbalance class cases is to use the Synthetic Minority Over-sampling Technique (SMOTE) technique which produces as much minority data as majority data. The results obtained in this study used the FK-NN classification with a total of 343 test data, parameter K=12 and using the Euclidean distance. The accuracy value was quite good, namely 76,38%.
The Impact of Experiential Learning on Students’ Academic Achievements a Case of Lukaya Town Council in Kalungu District

This experimental study was undertaken to assess the effectiveness of experiential learning strategies in influencing students learning. This study was undertaken in the form of a naturalistic inquiry. A naturalistic inquiry is one that is conducted in a natural setting of interest to the researcher using natural methods such as observation, interviewing, thinking, reading, and writing. This investigation was conducted with three senior students at Lukaya Seed School with the purpose of assessing the effectiveness of the experiential learning strategy in realizing the set learning outcomes. The researcher used a convenient sampling technique to select all the one hundred and twelve (112) Form 3 History students to participate in the intervention. Data collected from daily journal recording as well as their scores in activities of integration were analyzed using a frequency table with the intention of establishing the mean score and the failure rate of students in history before the intervention was implemented. At the end of the innovation, students were, to a large extent, able to construct an extensive and flexible historical knowledge base. The students were able to take ownership of their learning, and out of question, the researcher observed that senior three history students had become better problem-solvers. They had transformed into aggressive, self-directed learners who collaborated, and they appeared intrinsically motivated. To a reasonable extent, the innovation engendered specific generic skills needed by students from the historic perspective, including reasoning skills, which they evidently applied to solve their own problems. There was also evidence of students becoming effective collaborators, as evidenced by their establishing common ground, resolving discrepancies, and working in groups to negotiate actions they planned to take to arrive at an agreement. Education planners need to put much emphasis on collaborative learning, at least across subjects, to develop students’ social skills because they learn a lot from their peers. Keywords: Experiential learning, Students, Education planners, History.
“I Thought It [University] was the Only Way to Go:” Competent Agents in Pursuit of Possible Paths beyond University Walls

This qualitative study documents the experiences of youths in Montréal during both their university and post-university phases, specifically focusing on individuals whose parents originate from the Caribbean, sub-Saharan Africa, or Latin America. Through semi-structured interviews with six youths who interrupted their university studies, our investigation employs the theory of structuration and the concept of intergenerational temporality. The findings illuminate the challenges these individuals face in deciphering the intricacies of the academic landscape and highlight their struggle to establish a genuine sense of belonging within the university environment. Furthermore, our analysis sheds light on the discernible impact of parental expectations, which contribute to prolonging their educational journey. Notably, following the interruption of their university studies, our examination accentuates the agency displayed by these youths beyond the confines of the university. Their choices to either reenroll in a college or technical program or directly enter the job market underscore their agency. In conclusion, we underscore the imperative need to deconstruct the prevailing university model, advocating for a paradigm shift that prioritizes adapting the educational system to the diverse needs of students. This approach, rooted in principles of equity and social justice, emphasizes the significance of reconfiguring the educational landscape to better serve the student body.
The Application of Game in Junior English Vocabulary Teaching

With the form and implementation of the new curriculum, many teaching methods have gradually emerged in junior high school English teaching, and game teaching method has been widely used at this time. Game teaching method is often used in English teaching, which can be taught in games and stimulate students’ interest in learning. Traditional teaching methods cannot arouse students’ interest in learning, and the efficiency of students’ classroom learning is constantly decreasing. Game teaching method can help students to learn actively. Students need to develop their brains and think actively, so as to improve their learning and innovation ability and improve their comprehensive quality.
Research on Google’s Latest Algorithm Rules and Application Strategies

With the booming development of the Internet digital economy, the number of corporate websites has increased sharply. In order to ensure the accuracy and relevance of search results to meet the personalized needs of users, search engines must constantly iterate and optimize their algorithms and rules. At the same time, developers are also actively exploring the working mechanism of search engines and the factors that affect search rankings. These studies form the cornerstone of search engine optimization. Therefore, it is crucial for SEO practitioners to deeply analyze the latest algorithm and rule changes of search engines such as Google. This article will review and analyze the algorithm and rule changes officially announced by Google in the past four years, extract the core elements that play a key role in improving search rankings, and form an optimization application strategy.
Human Capital for Economic Development: A Study of Education Production Performance (EPP) in Khairpur

The analysis of education production performance involves evaluating the inputs of faculty, teachers, and students to determine the academic achievement of students. This study aims to estimate the education production performance of both state and private higher secondary schools in Khairpur and identify the factors that affect instructional outcomes in the region. Education is crucial for development, as a high-quality education system is essential for increasing people's skills, knowledge, and abilities, ultimately contributing to the growth of human capital. In a developing country like Pakistan, where policymakers face challenges such as a rapidly growing population, low levels of education, and limited resources, improving educational efficiency is critical to achieving progress. A thorough understanding of the factors that contribute to instructional success is essential in this regard. To construct the model, a cross-sectional dataset was used, and a standard least squares method was employed with annual examination results as the output variable and school inputs, student characteristics, family background, and teacher characteristics as the input variables for both private and public schools. The results of the study indicate that student characteristics, teacher qualities, and family background, except for the mother's education, career, and income, have a statistically significant impact on students' academic performance. The findings of this study have significant policy implications for Khairpur and Pakistan as a whole. Improving educational outcomes will be critical in enhancing the human capital stock, which, in turn, is essential for economic growth and improving living standards. By understanding the factors that contribute to instructional success, policymakers can devise effective strategies to address the challenges faced by the education sector and improve overall educational efficiency.
Kazakhstani people’s perception of forming media literacy as one of the essential skills in the digital era

This article examines the relevance of media literacy skills caused by the change in its content and reality due to the variety of information distributed through the mass media and the Internet. The purpose of the article is to discuss the level of the development of media literacy in the society of Kazakhstan, the extent to which the population is familiar with this concept, and the problems of teaching it. In the course of differentiating the importance of forming this important skill, surveys and the work of media literacy training centers are analyzed.
Student Motivation In Class VII Educational Learning At Smp Negeri 10 Pekanbaru

This research aims to determine the level of student motivation in Physical Education Class VII learning at State Junior High School 10 Pekanbaru. This research is quantitative research, the method used is a descriptive method with a survey type. The population in this study was class VII students at Pekanbaru 10 State Middle School, totaling 279 students. The sampling technique uses total sampling technique. The instrument used in this research used a Likert scale or questionnaire method which was distributed to respondents. Based on research results, Student Motivation in Class VII Physical Education Learning is classified as Very High, this can be seen in the percentage results of 83% which are in the assessment range of 81%-100% with Very High criteria .