Reviewerly/exHarmony huggingface dataset:
The effect of job stress on the relationship between organizational ostracism and knowledge hiding

Purpose: The purpose of the present study was to investigate the effect of job stress on the relationship between organizational ostracism and knowledge hiding in the metropolitan area of Ahvaz. Methodology: The research was applied and carried out using an analytical survey. The statistical population of the study included all the employees of the Ahvaz Metropolitan Municipality, over 3000 people, 341 of whom were selected as the research sample by stratified random sampling. The data were collected as part of a field study using questionnaires from previous studies on organizational ostracism (Chang et al., 2021), knowledge hiding (Demirkasimoglu, 2016), and job stress (Wooten et al., 2010). The validity of the instrument was approved formally and its reliability was confirmed using Cronbach's alpha coefficient (0.830, 0.869, and 0.884) levels, respectively. The data were analyzed with the structural equation modeling method and AMOS software. Findings: The test of research hypotheses showed that there is a relationship between organizational ostracism by knowledge hiding (β=0.51 and t-Value=8.5) and job stress (β=0.73 and t-Value 11.59) and there is a significant relationship between job stress and knowledge hiding (β=0.44 and t-Value=7.805). In addition, the results revealed that job stress had a direct effect on the causal relationship between organizational ostracism and knowledge hiding (β=0.828) and that (β=0.321) is significant at (p&lt;0.05). Conclusion: It is concluded that organizational ostracism brings about negative consequences such as job stress and hidden knowledge. It means that the organization members miss the opportunity to use communication networks between organization members and knowledge resources. It also increases the costs of providing services and dependence on knowledge resources outside the organization.
PENERAPAN MODEL GEOMETRIC BROWNIAN MOTION DAN PERHITUNGAN NILAI VALUE AT RISK PADA SAHAM BANK CENTRAL ASIA TBK

Stock price fluctuations are difficult to predict, resulting in uncertain profits. Therefore, a mathematical model is needed to predict future stock prices, namely the Geometric Brownian Motion (GBM) model based on a stochastic process. Stocks are also accompanied by risks that have potential for loss. The risk can be measured using Value at Risk (VaR) which can estimate the maximum loss that may happen from an investment at a certain level of confidence and period of time. The purpose of this research is to implement the GBM model in predicting stock prices and estimating the maximum loss of stock investment using VaR. This research analyzes the daily closing stock price of PT Bank Central Asia (BBCA) for the period November 1, 2021, to December 31, 2022. The stock price predictions with the GBM model are used to estimate the VaR value. Based on the analysis results, GBM is highly accurate model with an average MAPE value of 5.77% and the smallest MAPE value of 1.45%. The VaR values obtained at the 80%, 90%, 95% and 99% confidence level are 1,17%, 1,74%, 2,19% and 2,86% of the total fund investment for the next one-day period, respectively.
Development of Maze Puzzle Learning Media in Indonesian Language Learning Storytelling Material

This study aims to produce valid and appropriate Indonesian language learning media material for storytelling fiction and non-fiction. The type of research being developed is Research and Development (R&amp;D) referring to the 4D model, namely Define, Design, Development, and Disseminate. This research produced a product in the form of a maze puzzle with a size of 70 cm × 60 cm with wood or plywood as the basic material. Data analysis techniques were carried out using percentage calculations which were then described to obtain valid and feasible media results. Based on the results of data analysis using media validation, a percentage of 82% was obtained with very valid criteria, and for material expert results, a percentage of 80% was obtained with valid criteria, then the results of the student response questionnaire from one to one results obtained an average value of 90.8% with the criteria very feasible, then the small group questionnaire results obtained an average score of 90.2% with very feasible criteria and the field test obtained an average value of 94.64% with very feasible criteria. It can be seen from the group of criteria included in the criteria 81% - 100% with a very decent category. Thus, it can be concluded that the maze puzzle media in Indonesian language learning storytelling material can be said to be valid and feasible.
Mind Mapping as an Innovative Tool to Enhance Project-Based Learning Utilizing Technology Tools

Project-based learning (PBL) is a method to promote engaged learning that enables students to employ their creative and critical thinking abilities often resulting in meaningful learning experiences (Wurdinger, 2018). A PBL assignment was created for a sport-focused technology and innovation class in which the students created their own augmented reality (AR) activation. AR can be a powerful tool for PBL assignments, allowing students to create interactive and immersive experiences that bring their ideas to life (Jailungka, 2020). This assignment utilized Meta Spark Studio, a free platform for creating AR effects, that provides an accessible and user-friendly way for students to experiment with AR technology and develop their technical skills. However, the implementation of PBL can present challenges for both educators and students, particularly when it comes to technology and innovation (Freshwater, 2009). Many students may struggle with the technical skills needed to complete a technology focused PBL assignment, or they may face barriers to accessing the necessary technology. To address these challenges, educators can utilize mind mapping techniques to help students break down complex tasks, visualize progress, and identify their goals (Hollland et al., 2003). Mind mapping can also help students recognize areas where they may need additional support or resources prior to undertaking the tasks involved. Engaged learning through PBL and AR can be an effective way to help students develop real-world skills and apply their knowledge. Mind mapping and PBL can lead to increased student motivation, increased innovation, and increased knowledge retention.
Digital pedagogy as a response to the challenges of contemporary education

The current stage of global social and economic development is characterized by digitalization, bringing many changes to education. In the last two years, marked by combatting the SARS-CoV-2 pandemic, information and communication technology in education has seen exponential growth, which has resulted in the need to adapt teaching methods to achieve planned learning outcomes. Teachers have faced the challenge of adequately perfecting teaching and learning methods to respond to pupil demands and their different educational needs and to increase their motivation to participate in an increasingly virtually oriented teaching process. The increasing use of digital technology in teaching in recent years has accelerated the development of new areas of pedagogy. In the scientific literature, there is increasing talk about digital pedagogy as a new branch or approach in pedagogy that studies the laws of digital education, developing new strategies and approaches to enrich the curriculum using information and communication technology. This paper seeks to explain the concept of digital pedagogy and how it can solve traditional didactic problems, shaping and developing innovative learning processes while developing and supporting a curriculum increasingly oriented toward digital technology. It proposes opportunities for teachers to improve the quality of the teaching process and highlights shortcomings and new challenges facing the increased use of information and communication technology in teaching.
The use of artificial intelligence in the Russo-Ukrainian war

The Russo-Ukrainian conflict, with its geopolitical importance, goes beyond regional borders, which is why it is inevitable that we talk about it as a conflict of global proportions. The direct and/or indirect involvement of numerous countries of the world in this conflict, especially in the form of military-technical, technological, economic and economic involvement, confirms the above. The focus of our work is the military-technical aspect, i.e., the use of artificial intelligence and its importance for the present and future of warfare. In the first part of the work, artificial intelligence is conceptually defined, and then the use of artificial intelligence in the military industry is elaborated, as well as its importance in changing the conventional way of warfare. Finally, the authors deal with the use of artificial intelligence in the Ukrainian war, in order to point to a new form of arms race.
Detrimental Impact of Technological Tools on Handwriting

The initiation of technological tools has modernized several features of current human life, involving, education, communication, and work. Nevertheless, this paper searches for the detrimental influence that these tools have on the skill of handwriting. Traditional handwriting is gradually becoming a neglected skill due to the increasing prevalence of digital devices and the widespread use of keyboards for writing tasks. The purpose of this research paper is to look into the consequences of this modification in writing practices on mental development, manual skills, and overall handwriting proficiency. Through a broad survey of present literature and experimental studies, this research paper highlights numerous key findings. To begin with, it examines how reduced exposure to handwriting due to total dependence on technological tools can weaken intellectual processes such as memory retention and information processing. Furthermore, it explores the prospective destructive effects on hand-operated skills development among children who are not provided with sufficient opportunities for handwriting practice. Additionally, this paper investigates the impact on legibility and speed in both children and adults when switching from handwritten to digital typing. Moreover, this research explores the implications for educational settings where typing is replacing handwriting as the primary mode of written expression. It discusses likely consequences for students' learning outcomes and recommends approaches for incorporating technology while preserving the importance of developing proficient handwriting skills. Generally, this research paper sheds light on the detrimental impact that technological tools have on handwriting capabilities. By considering these effects, educationalists, parents, and legislators can make informed decisions regarding curriculum design and instructional practices to ensure that future generations maintain a balance between digital literacy and essential physical skills like handwriting.
Hong Kong Students Consider Virtual Reference a Vital Service and It Can Aid in Many Stages of Learning

A Review of: Tsang, A. L. Y., &amp; Chiu, D. K. W. (2022). Effectiveness of virtual reference services in academic libraries: A qualitative study based on the 5E learning model. The Journal of Academic Librarianship, 48(4), Article 102533. https://doi.org/10.1016/j.acalib.2022.102533 Objective – Understand how virtual reference services (VRS) impact students’ learning using the 5E model (engage, explore, explain, elaborate, evaluate) as a theoretical framework. Design – Exploratory qualitative study. Setting – Major university in Hong Kong. Subjects – There were 10 participants between the ages of 18 and 35, including undergraduate and postgraduate students and one alumnus of the university. Methods – Online synchronous semi-structured interviews of 30 minutes via Zoom. Interview data were transcribed and analyzed thematically according to the 5E learning model. Main Results – WhatsApp was the preferred form of VRS, over Zoom, email, or phone. VRS can facilitate better awareness of library resources and supports resource exploration. WhatsApp VRS is particularly valuable for students who may find other modes intimidating, overly formal, or inaccessible due to time constraints. VRS has grown in importance since the COVID-19 pandemic. Conclusion – VRS provided via instant messaging is a valued service for students, but libraries, library websites, and librarians can all work to improve awareness of the option and possible uses. Future work is needed to understand how demographics may influence patrons’ attitudes and experiences of VRS.
Pelatihan Pembuatan Video Pembelajaran Online Bagi Guru PAUD di Kecamatan Parigi Kabupaten Parigi Moutong

This community service aims to provide training to PAUD teachers in Parigi District, Parigi Moutong Regency in the form of providing knowledge so that teachers can understand making online learning videos. The subjects in this study were 16 teachers at Aisyiyah Dolago Kindergarten, Parigi Moutong Regency. The method used is in the form of training and education, namely by using pretest and posttest, lectures, discussions, ice breaker, energizer and games. Furthermore, the data is processed using SPPSS 16.0 for windows, namely the gain score and inferential test. The results of the service show that there is a positive and significant influence of technical training on teachers' understanding of teachers' understanding of making online learning videos. This is shown by Sig &lt; α (0.016 &lt; 0.05) meaning that the gain score of the teacher's understanding of making online learning videos before training is significantly different from after training. In addition, it can be seen from the results of the average pretest score in the teacher group, namely 64.6, while in the posttest, the average score increased to 96.7. In the teacher group, the highest score in the pretest was 85, while in the posttest the highest score increased to 115. Furthermore, the lowest score in the teacher group in the pretest was 39 and in the posttest it increased to 79. In the teacher group, the standard deviation value in the pretest was 13.84 and in the posttest that is 11.1. Based on the description above, it can be concluded that training is effective for teacher understanding regarding making learning videos for PAUD teachers in Parigi District, Parigi Moutong Regency.
Compilation of the Chinese Dongkuk Gisa Book Lists by Intellectuals in the Late Joseon Dynasty -Focusing on Lee Deok-moo, Han Chi-yoon, and Lee Kyu-kyung-

This paper focused on three Chinese Dongkuk Gisa book lists compiled by intellectuals in the late Joseon Dynasty. Lee Deok-moo(李德懋)’s Hwaingi Dongsa(華人記東事), Han Chi-yoon(韓致奫)’s Dongguk Gisa(東國記事) and Lee Kyu-kyung(李圭景)’s Jungwon Gi Dongsa(中原記東事) contain specialized books on the Korean Peninsula compiled by Chinese intellectuals. Lee Deok-moo’s Hwaingigidongsa contained 22 kinds of books, and Han Chi-yoon’s Dongguk Gisa collected 59 kinds of books. Lee Kyu-kyung’s Jungwon Gi Dongsa contained 23 kinds of books and inherited the contents of Lee Deok-moo’s books. &#x0D; Re-segmenting the literature contained in these books identifies the types of Korean Peninsula encyclopedia, administrative records and observations, books related to the institution of the Korean Peninsula, books on the art of war, poetry collections, and history books. And if you look at the narrative system, it can be said that Lee Deok-moo’s book list belongs to the Joseon-centered narrative system. Han Chi-yoon and Lee Kyu-kyung’s book list showed efforts to objectify their perception of their country in the East Asian Chinese character civilization beyond the Joseon-centered narrative system and can be said to belong to an objective narrative system.&#x0D; Through these three book lists, it was possible to see the process of intellectuals in the late Joseon Dynasty building an objective narrative system for their country. On the other hand, the collection of Chinese Dongkuk Gisa book lists written by Joseon intellectuals will be evaluated as valuable data showing their own perception and data that can help us explore the origin of the establishment of Korean studies in China.
Research on the Effectiveness of Using the Python Language for Creating Cyber Security and Information Protection Applications

The article explores the possibilities of the Python programming language for solving cyber security and information protection problems. The study focuses on comparing Python with other programming languages such as C++, C#, Java, and JS in terms of their application development capabilities for network analysis, data mining, security tools, testing tools, task automation, and web development. The article also provides code examples in Python and JS for developing data encryptors and performing network analysis, and describes the OWASP ZAP Python security testing framework. Overall, the paper shows that Python is a powerful tool for solving cyber security and information protection tasks, capable of competing with other programming languages.
Analysis of Methods for Detecting Vulnerabilities of Web Resources to SQL Injections

This article examines the issue of SQL injection vulnerabilities in web applications and the use of automated scanners to detect these vulnerabilities. It begins with a description of SQL injections and their consequences, as well as manual testing for vulnerabilities. The article goes on to analyze various automated vulnerability scanners, including Acunetix, Burp Suite, Nessus, OpenVAS, SQLMap, OWASP ZAP, and Nikto. Each scanner has its advantages and disadvantages, as well as the level of detail and functionality. The article concludes with conclusions that emphasize the importance of understanding SQL injection risks and using the right tools to detect them. It is emphasized that automated scanners are not a one-size-fits-all solution and must be accompanied by manual verification and analysis. The article points to the need for constant updates of scanners and a combination of automated and manual methods to ensure the highest level of security. It provides readers with a useful overview of the various aspects and aspects of using automated SQL injection vulnerability scanners in web applications.
Research Assessment Reform, Non-Traditional Research Outputs, and Digital Repositories: An Analysis of the Declaration on Research Assessment (DORA) Signatories in the United Kingdom

Objective – The goal of this study was to better understand to what extent digital repositories at academic libraries are active in promoting the collection of non-traditional research outputs. To achieve this goal, the researcher examined the digital repositories of universities in the United Kingdom who are signatories of the Declaration on Research Assessment (DORA), which recommends broadening the range of research outputs included in assessment exercises. Methods – The researcher developed a list of 77 universities in the UK who are signatories to DORA and have institutional repositories. Using this list, the researcher consulted the public websites of these institutions using a structured protocol and collected data to 1) characterize the types of outputs collected by research repositories at DORA-signatory institutions and their ability to provide measures of potential impact, and 2) assess whether university library websites promote repositories as a venue for hosting non-traditional research outputs. Finally, the researcher surveyed repository managers to understand the nature of their involvement with supporting the aims of DORA on their campuses. Results – The analysis found that almost all (96%) of the 77 repositories reviewed contained a variety of non-traditional research outputs, although the proportion of these outputs was small compared to traditional outputs. Of these 77 repositories, 82% featured usage metrics of some kind. Most (67%) of the same repositories, however, were not minting persistent identifiers for items. Of the universities in this sample, 53% also maintained a standalone data repository. Of these data repositories, 90% featured persistent identifiers, and all of them featured metrics of some kind. In a review of university library websites promoting the use of repositories, 47% of websites mentioned non-traditional research outputs. In response to survey questions, repository managers reported that the library and the unit responsible for the repository were involved in implementing DORA, and managers perceived it to be influential on their campus. Conclusion – Repositories in this sample are relatively well positioned to support the collection and promotion of non-traditional research outputs. However, despite this positioning, and repository managers’ belief that realizing the goals of DORA is important, most libraries in this sample do not appear to be actively collecting non-traditional outputs, although they are active in other areas to promote research assessment reform.
The Influence of Learning Media and Interest on Student Absorption in Senior High Schools

The purpose of this study was to determine the effect of learning media and interest in learning on student absorption in high schools in Tanjung Lubuk District. The sample size taken was 89 students in high school in Tanjung Lubuk District. The sampling technique was purposive sampling, where the respondents taken were some high school students in Tanjung Lubuk District. Data collection was carried out by distributing questionnaires using a 5-point Likert scale to measure 73 statement items. The analysis technique used is multiple linear regression analysis. The results showed that there was an influence of learning media and learning interest on student absorption Second, the influence of learning media on student absorption Third, there was an influence of learning interest on student absorption.
Classification of colon cancer by using cnn and capsule neural network

Colorectal cancer typically originates as a button-like growth termed a polyp on the surface of the intestinal lining or rectum. The intestine or rectumdivision may invade nearby or adjacent lymph nodes. Due to the fact that blood flows from the intestine’s wall and asubstantial portion of the rectum to the liver, colorectal cancer can metastasize to the liver after spreading to adjacent lymph nodes. Machine Learning obtained a good performance for colon cancer detection. However, the cancer detection systems based on ML need manual detection of the features and separate classifiers for the detection, making the system more complex and time-consuming when using big data. There are several traditional techniques which are not flexible, robust and time consuming as they are devised for manual assessment of colon cancer. Hence, in this research several deep learning techniques namely convolutional neural network (CNN) and Capsule Neural Network are compared. The comparative assessment showed Capsule Neural Performs Better than CNN.
Exploring Students’ Learning Strategies and Teachers’ Teaching Strategies in English Reading Comprehension

In the early stages of collecting articles based on the variables contained in the title, namely exploring student learning strategies and teacher teaching strategies in reading comprehension in junior high schools. This study reviews and synthesizes existing research and literature on student learning strategies and teaching strategies in reading comprehension. This study examines research that investigates various types of learning strategies used by students, such as meta-cognitive strategies, memory strategies, compensation strategies, affective strategies, cognitive strategies, and social strategies. In addition, this study also explores strategies used by teachers to improve students’ reading comprehension skills, including reciprocal strategies and question-answer relationships. Through a comprehensive literature review the researcher uses 8 articles as references to write the research, this study aims to provide insight into the effectiveness and impact of various learning strategies used by students and the strategies used by teachers in teaching reading comprehension.