Reviewerly/exHarmony huggingface dataset:
Influence of Social Media on Reading Culture among Nigerian Polytechnic Students

This original research paper investigated the influence of social media on reading culture among polytechnic students in Nigeria. The study was aimed at examining the reading habits of polytechnic students in order to discover the benefits of reading, hinderances to reading, social media habits and extent of social media influence on reading culture. The study is a descriptive survey research which investigated polytechnic students at the National Diploma and the Higher National Diploma levels in all Federal and State Government owned Polytechnics in Edo and Delta States namely, Auchi Polytechnic (350) National Institute of Construction Technology and Management Uromi (50), Edo State Polytechnic Usen (250), Delta State Polytechnic Ogwashi-Uku (300), Delta State Polytechnic Otefe-Oghara (300), Delta State Polytechnic Ozoro (250). The structured questionnaire was used for data collection. Research assistants were recruited to assist in the administration of questionnaires on respondents and retrieval of same from them. 1460 completed questionnaires were returned representing 97.3%. Data analysis was done using graphical charts. The findings indicate that majority of the students don’t frequently read as it takes them between 2-6 days before they read at all and the students spend an hour or less each time they read. The greatest benefit they derive from reading is confidence in examinations and improved academic performance. The social media is the major hindrance to reading, as majority of the students use the social media daily and some of them to as much as 7 hours every day. Majority of the students prefer using social media to reading. It was therefore recommended that social media should be integrated into lecture delivery platforms, while the education and ICT policies should be reviewed. While Librarians and Civil Societies to engage in advocacy campaigns, Librarians need to develop their skills sets for improved service delivery.
Close-Knit-Regression: An Efficient Technique in Estimating Missing Completely at Random Data

The study aimed at using the Close-Knit Regression (CKR) technique to approximate values absent because of the missing completely at random mechanism. Bivariate datasets were generated and simulated for MCAR mechanism at low (10%) and high (60%) rates. The CKR method was used and compared alongside other single imputation techniques like mean imputation, simple regression and K- Nearest Neighbors (K-NN). The difference between parameter estimates like mean, correlation coefficient (r), maximum, minimum and standard deviation which were gotten using predicted data and those using the original data as well as assessment of error rates like mean absolute error (MAE) and root mean square error (RMSE) were used as metrics in deciding the efficiency of the techniques. Results showed that the CKR technique was the best from those considered, with its estimated data having parameter estimates closer to that of the original whilst having the least error rates at 10% (MAE of 0.01 and RMSE of 0.047) and 60% (MAE of 0.021 and RMSE of 0.073) in comparison to other methods, CKR technique is a suitable single imputation technique which produces estimates close to the original data and parameters with low error rates when data are MCAR.
The Acceptability of Generative AI Tools of Selected Senior High School Teachers in Schools Divisions Office-Manila, Philippines

This study focuses on the acceptability of selected Senior High School teachers on the use of generative AI tools, particularly Microsoft Bing Chat. A one-shot case study design was conducted on schools across six (6) districts in Manila Philippines. Both the voluntary response sampling method and Slovin’s formula were used to determine the sample from the population. This study involved 125 senior high school teachers, 54 or 43% of whom were males and 71 or 57% of whom were females from both private and public senior high schools in Manila City. The data were recorded first in an MS Excel program and later transferred to SPSS for analysis and visualization. The research instrument was administered online using Google Forms and then transferred to SPSS for data analysis and statistical treatment. It was revealed that all factors were statistically significant on the acceptability of generative AI tool by senior high school teachers. Furthermore, self-efficacy (SE) has the highest of 0.824 coefficient value followed by the factor perceived ease of use (PE) of 0.812 indicating their influence on Bing Chat behavioural intention of use (BI), leaving attitude (AT) the lowest among five (5) factors with 0.762 coefficient value. This implies that senior high teachers in Manila are much willing to abreast the idea of including generative AI tools in promoting their productivity in the workplace.
Generation of High-Resolution Facial Expression Images Using a Super-Resolution Technique and Self-Supervised Guidance

The recent spread of smartphones and social networking services has increased the means of seeing images of human faces. Particularly, in the face image field, the generation of face images using facial expression transformation has already been realized using deep learning–based approaches. However, in the existing deep learning–based models, only low-resolution images can be generated due to limited computational resources. Consequently, the generated images are blurry or aliasing. To address this problem, we proposed a two-step method to enhance the resolution of the generated facial images by combining a super-resolution network following the generative model, which can be considered a serial model, in our previous work. We further proposed a parallel model that trains a generative adversarial network and a superresolution network through multitask learning. In this paper, we propose a new model that integrates self-supervised guidance encoders into the parallel model to further improve the accuracy of the generated results. Using the peak signalto- noise ratio as an evaluation index, image quality was improved by 0.25 dB for the male test data and 0.28 dB for the female test data compared with our previous multitaskbased parallel model.
Analysis Trends in Multicultural Art Education Research in Response to Revisions in the Middle School Arts Curriculum

본 연구에서는 교육과정의 개정에 따라 변화하는 다문화 미술교육 연구의 동향을 분석하고 향후 방향성에 대해 제언하였다. 다문화 미술교육 연구의 동향을 분석하기 위해 텍스트 마이닝 기법을 사용하여 텍스트 분석을 진행하였다. 연구의 결과로 교육과정과 다문화 미술교육 연구는 미술, 문화, 이해의 측면에서 미술의 기본적 소양을 같이하고 있다. 미술, 문화, 이해는 미술 과목과 다문화 미술교육의 기초적 학습 요소가 되는 것을 알 수 있다. 다만 각 개정 교육과정의 쟁점이 되는 키워드들에 대한 다문화 미술교육의 수용성은 낮은 것으로 보인다. 따라서 2022 개정 교육과정의 주요 쟁점인 공동체 역량, 시각적 소통역량, 창의·융합 등을 다문화 미술교육에도 도입하여 프로그램 개발과 같은 연구를 진행할 필요성이 있으며, 이는 학교 현장에서의 다문화 교육 활성화에 도움이 될 것으로 기대한다.The present research undertakes an in-depth analysis of the dynamic shifts in multicultural art education research, triggered by revisions in the educational curriculum, while providing recommendations for prospective trajectories. To investigate these trends, text mining methodologies were utilized. The findings of the study indicate that both the curriculum and multicultural art education research share a foundational understanding of art, culture, and comprehension. Furthermore, it is evidenced that art, culture, and understanding constitute the foundational learning elements in both art education and its multicultural variant. However, the research also highlights a limited receptivity of multicultural art education towards the contentious keywords emerging from each curriculum revision. In response, the study proposes the necessity for further research, notably the development of programs that incorporate central components of the 2022 curriculum revision, including community competence, visual communication skills, and creativity and convergence. Such measures are expected to significantly boost the effectiveness of multicultural education within school environments.
Implementasi White Hat SEO (Search Engine Optimization) Pada Website E-Commerce Sayur Plagro.id

Internet users in Indonesia have increased by 64% of the total population in Indonesia in 2020. This number has increased by 17% compared to 2019. The website is one of the internet technologies that is not only a medium of information but also to support a company's business processes such as selling products and services online, but sales through the website cannot be done without the support of the right promotion strategy. Usually, 62% of internet users are interested in the first 10 or 20 pages of the SERP (Search Engine Result Page), and another 38% will look at the website on the next page. One method that can be used to get top rankings on search engines on the internet is to implement SEO methods. SEO (Search Engine Optimization) is a promotional technique that uses search engine optimization to ensure that a website ranks high or is on the first page on SERPs. One of the problems faced by the Plagro.id e-commerce website is the position in search engine search results based on the targeted keywords not being in an indexed position on the SERP (Search Engine Results Page) or ranked 100 and above on the SERP (Search Engine Results) Page), so that it is not visible or is still on a page far from the SERP. This study implemented one of the SEO methods, namely White Hat SEO on the Plagro.id e-commerce website, then tested using Serprobot Tools. After the website is optimized, it is tested again with the same testing tools. From the results of this study, the results of increasing the ranking of the Plagro.id e-commerce website in the SERP after implementing SEO.
Rancang Bangun Sistem Informasi Dewan Guru Besar Universitas Halu Oleo

the accreditation and ranking of tertiary institutions, institutionally Halu Oleo University already has a Professors Council organization as a forum that oversees professors at Halu Oleo University, in the process an institution or organization should have an information media and publication of organizational activities but currently the professorship council of Halu Oleo University does not yet have the media. The purpose of this research is to design an information system that contains all institutional aspects of the professorial council of Halu Oleo University including board profile information professors, database of professors at Halu Oleo University, activity agendas, information on professor inauguration activities, announcements, documentation both in the form of photos and videos as well as some other information that helps the community and external parties to get to know more closely at the Halu Oleo University professorial council organization. The method used in this study is the information system design method with the waterfall model, the research starts from the method of analysis, design, implementation, testing, development and maintenance. The outputs resulting from this research are information system products that can be accessed online, databases and directories. professors at Halu Oleo University, the test results show that the information system can run well.
PLAY BASED LEARNING: INTERVENTION IN IMPROVING LETTER SOUND RECOGNITION OF KINDERGARTEN LEARNERS

This action study was carried out to develop the letter sound identification abilities of kindergarten pupils of Mansamad Saliling Elementary School, Carmen North District, during the school year 2021-2022 using a Teacher Model Video Lesson and letter sound recognition activities such as tactile letters, fishing letters, and pudding letters. The study employed a pretest and a posttest. The information was gathered using an activity and TMVL, and it is being processed and analyzed using frequency. The findings of this study demonstrate the value of Recorded Video in assisting kindergarten students at Mansamad Saliling Elementary School. The percentage score of has significantly increased. The subjects' pretest and post-test scores differ significantly, indicating that the Recorded Video and letter sound recognition activity are an effective intervention in developing kindergarten pupils' letter sound identification abilities. As a result, the researcher recommended that Kindergarten Teachers use the intervention to assist kindergarten students in strengthening their letter sound identification abilities. Collaboration with administrators and educators is required for the intervention's implementation, which should be prioritized to include and develop the use of Teacher Model Video Lesson. The following suggestions and recommendations intended for this study must be completed and implemented for this action research to continue and improve.
Design of a Big Data-based Evaluation System for Teacher-Student Cooperation in College English Writing

INTRODUCTION: With the constant change in information technology, people have entered the era of big data, and the reforms brought about by the era of big data have profoundly affected people's way of life and learning. English writing is one of the four basic skills for mastering English, and the skilful mastery of writing is an essential form of accurate expression in English. Different from the traditional teaching modes of "separate assessment of teaching" and "separate assessment of learning", "cooperative assessment between teachers and students" is a new type of assessment mode proposed by professors at the National University in recent years. This cooperative evaluation model advocates the combination of the teaching and evaluation processes and the evaluation and learning processes. In the cooperative evaluation model, evaluation is considered an extension of the teaching process, and the evaluation process itself is also a school process. The arrival of the significant data era also brings new opportunities and challenges for university English teacher-student cooperative evaluation.&#x0D; OBJECTIVES: We design a university English writing teacher-student cooperative evaluation system based on big data by combining big data with the teacher-student cooperative evaluation.&#x0D; METHODS: All college English writing classes in one university were selected as the background for ample data research, and with the help of theoretical knowledge and technology related to big data, a model was constructed to analyze the factors affecting the cooperative evaluation system of college English writing teachers and students.&#x0D; RESULTS: The university English writing teacher-student cooperation evaluation system is analyzed and summarized using big data.&#x0D; CONCLUSION: By using big data to analyze the evaluation of college English writing teacher-student cooperation, big data can better help teachers understand the weaknesses of students' knowledge points and better help students improve their English proficiency.
News in Time and Space

We present News in Time and Space (NiTS), a virtual reality application for visualization, filtering and interaction with geo-referenced events based on GDELT. It can be used both via VR glasses and as a desktop solution for shared use by multiple users with Ubiq. The aim of NiTS is to provide overviews of global events and trends in order to create a resource for their monitoring and analysis.
Research on the Construction and Application of Knowledge Graph of Digital Resources in Vocational Colleges

&lt;p&gt;With the development of digital education, colleges and universities are facing challenges in managing and utilizing digital resources. As an effective way of knowledge organization and representation, Knowledge graph can transform digital resources into structured entities, attributes and relationship forms, and provide personalized learning support and resource recommendation. By analyzing the characteristics, construction status and existing problems of digital resources in vocational colleges, this paper puts forward the overall plan and methods of digital resources knowledge graph construction, including data collection and sorting, knowledge graph construction, verification and optimization, and gives the general process design of knowledge graph construction; Then, this paper discusses the typical application scenarios of digital resources knowledge graph in vocational colleges, such as learning resource recommendation, path planning, teaching assistance and resource sharing; Finally, the challenges in this field, including data quality, knowledge graph updating and maintenance, privacy and security, are discussed, and the future trends and research directions are prospected. The research results are of great significance for promoting the informatization and intelligent development of vocational college education.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Penggunaan Campur Kode Guru dalam Pembelajaran Bahasa Jepang Kelas XI IBB di SMAS LAB UNDIKSHA

The purpose of the study is to examine how Japanese language instructors used mixed codes in Japanese class XI IBB at the Undiksha Laboratory Private High School. Non-participation observation techniques were used in this study as qualitative descriptive methodologies. This study focused on a Japanese instructor at SMAS Laboratory Undiksha Class XI Language. The utterances made by Japanese teachers while engaging students in learning activities served as the study's data source. According to the findings of this investigation, Japanese professors at SMA Private Laboratory Undiksha sometimes mix codes externally. The research findings are presented in the form of a conversation between the teacher and the students, followed by a descriptive technique.&#x0D;
Financial Distress and Audit Report Lags: An Empirical Study in Korea

This study examines the association between a firm’s financial distress and audit report lags. Through this analysis, we intend to reveal whether auditors consider theclients’ financial distress when performing external audits. This study employs 2,786 firmyear observations from 2011 to 2018. The sample of this study consists of companies listedon the Korea Composite Stock Price Index (KOSPI) and the Korea Securities Dealers Automated Quotation (KOSDAQ). We perform OLS regression analysis to test our hypothesis. The OLS regression analysis is conducted through the SAS and STATA programs.We find that there is a significant and positive association between financial distress andaudit report lags. The audit report lags increase as the likelihood of clients’ financial distress increases. The results indicate that audits take different amounts of audit effort whenauditors consider financial distress as a business risk when they conduct audits. In otherwords, we provide evidence that auditors increase the amount of audit effort when thelikelihood of clients’ financial distress is high. In the absence of studies on how externalauditors respond to audited firms' financial distress, this study analyzes whether externalauditors change their audit efforts by assessing the audited firms' financial distress. Second, the empirical result that external auditors actually follow the guidelines related tobusiness risk and financial distress specified in the Korean Auditing Standards supportsthe effectiveness of the business risk-related regulations specified in the Korean AuditingStandards
A USB Keyboard Electromagnetic Information Detection Algorithm Based on Deep Learning

The keyboard is a commonly used computer input device, which inevitably generates electromagnetic leakage during the process of key input, resulting in the risk of information leak-age. This article analyzes the working principle and signal characteristics of USB keyboard EM INFO security issues, and proposes a deep learning-based USB keyboard EM leakage detection algorithm. The algorithm adaptively adjusts the convolutional neural network structure based on the characteristics of keyboard EM leakage signals, introduces gating recursive units and gradient weighted activation mapping units, and combines sample preprocessing based on end-point detection to recognize and locate the EM signals of 39 commonly used keyboard keys.
Elementary Teacher’s Conceptions towards the Incorporation of English in Their Teaching Practices

Teacher´s beliefs and conceptions of teaching English are an important area for the professional development path of primary teachers. Giving primary teachers opportunities to grow professionally and support their learning belongs to the wide variety of practices that can be implemented to foster early education today. To do that, the Colombian government has implemented different initiatives; however, through the exploration of literature, primary public-school teachers need more professional development opportunities to fulfill the objectives stated by the Ministry of National Education. This is why, the present study aims to investigate the perceptions and attitudes of elementary rural teachers involved in the incorporation of English in their teaching practices. A total of ten teachers were selected to be involved during a semester that lasts the implementation of the project. Through qualitative research under the exploratory paradigm, we identified frustration, motivation, and lack of expertise as the main perceptions that interfere the teaching practices of the selected population. Findings suggest that professional development strategies should be incorporated as an eventual strategy to foster the teaching practices in the classroom.
New2U

New2U represents an inventive online marketplace constructed using the MERN (MongoDB, Express, React, Node.js) technology stack. This platform presents a simplified approach to purchasing and selling brand-new as well as reconditioned items. Comprising of three key components - Admin, User, and Verifier - New2U ensures effective administration of user accounts, secure product exchanges, and thorough content authentication. With a strong emphasis on enhancing user satisfaction, safety, and convenience, New2U emerges as a contemporary and dependable platform with the potential to transform the e-commerce sector. Through the seamless integration of user-intuitive interfaces, advanced security protocols, and dynamic functionalities, New2U is prepared to empower both buyers and sellers in the online market, initiating a fresh chapter in digital transactions
8 Generalized diamond alpha Bennett–Leindler-type dynamic inequalities

The dual results; delta and nabla inequalities and their special cases; continuous and discrete inequalities are unified into diamond alpha case and new forms of such results as well as new diamond alpha Bennett-Leindler-type dynamic inequalities are established by developing a novel method, which does not require the Integration by Parts Formula and the Fundamental Theorem of Calculus. These theorems are standard arguments in the proofs of Bennett-Leindler-type dynamic inequalities in the delta and nabla approaches but do not follow naturally in the diamond alpha calculus.
Impact of knowledge management process on Business Model Innovation: the moderating role of Wise Leadership

This research examines the impact of the knowledge management (KM) process on Business model innovation (BMI) via Leadership styles. The perspective of knowledge management suggests a knowledge process architecture of acquisition, conversion, application, and protection. This study also proposes to examine the moderating role of wise leadership in the relationship between the KM process and BMI. We empirically analyze a sample of 200 managers in Tunisian banks, the hypothesized relationships were tested through the maximum likelihood method (LISERL). The findings of the study reveal that wise leadership has a positive effect on the KM process. The authors encourage organizations to use this style to maximize the effect of leadership on KM. Moreover, wise leadership has been evidenced in this research as having part moderating effect between KM process and BMI. The authors also recommend financial companies increase their innovation activities through the BMI.