Reviewerly/exHarmony huggingface dataset:
CCG Promulgation and Firms' Accounting Performance: A Case of an Emerging Economy

Purpose – This study examines the impact of the code of corporate governance (CCG) before and after promulgation-2002 in Pakistan. The impact of the enhanced (updated) corporate governance code on business performance is also examined in this study, both before and after the 2012 modification.&#x0D; Design/methodology/approach – It's a longitudinal study based on 20 years of firm observations, from 1999 to 2018, of 202 listed companies in Pakistan. This study applies a two-sample t-test to compare means of control and dependent variables before and after the promulgation and revision of the corporate governance code to evaluate the impact on firms' performance. In furtherance, regression analysis under the fixed effect model has been conducted to evaluate the impact on dependent variables, i.e., The indicators of a company's accounting success return on equity, profit margin, return on assets, return on return on capital employed, and earning per share.&#x0D; Findings – According to empirical studies, adopting a corporate governance code has a favorable and statistically significant impact on the company's success. The study also reveals the updated corporate governance code's positive and statistically significant effect on business performance.&#x0D; Research limitations/implications – This study enriches the literature on the role of the code of corporate governance firms accounting performance nexus, strengthening firms' practices. The stakeholder's protection has application to sustainable development practices in the emerging environment.&#x0D; Originality/value – The distinction from prior studies is examining the impact of code based on a longitudinal period of twenty years and evaluating promulgation and revision to provide evidence that either change enhances the firm performance.
Solutions To Improve the Quality of Managing Online Teaching Activities at Vocational Education Institutions in The Context of Globalization

This research aims to identify management solutions to quality improve online teaching activities at vocational education institutions (VEI) in the COG. In addition, identifying contiguous principles plays an important role in the process of evaluating solutions. Providing solutions will clarify theoretical and practical issues in managing online teaching activities (MOTA) at VEI. This study has the participation of 203 people, who work in the field of state vocation management of education, teachers, and staff teams who are working in several VEI. Specifically, 22 managers, and 181 lecturers and staff at vocational education establishments. A questionnaire system was determined for the survey process. By quantitative analysis of data collected during the survey; combined with theories and research results of colleagues, the comments and assessments given will contribute to accurately determining solutions to improve the quality of MOTA at vocational educational institutions in the COG. The study provides empirical evidence to evaluate the necessity and feasibility of the solutions, thereby providing accurate solutions to improve the quality of MOTA activities at vocational educational institutions in the COG. This study has identified principles in identifying solutions; at the same time, the proposed solutions will clarify the theoretical aspects of quality management activities and management of online teaching activities at VEI in the COG. The solutions provided will help VEI apply them in the general school management process and the management of online teaching activities in response to the requirements of globalization for vocational education.
WRITING COMPARISON/CONTRAST PARAGRAPH WITH BLOCK STYLE

A comparison/contrast paragraph can be organized into two ways known point-by-point, and block model. The most of fifth semester students of English department at Nias Raya University, however, prefer to organize their writing with block model. The reasons for choosing the model were the purposes of this research. This research was carried out by using qualitative descriptive. The data were obtained through unstructured questionnaire. The result of this research showed that there are three reasons of the students in using block model in organizing the comparison/contrast paragraph; the first is easier to be organized; the next is good for the shorter paragraph; and the last is the similarities or differences between the compared subjects is understood easily. Hence, block organization for a comparison/contrast paragraph is the easiest way for the students to construct their paragraph to be interested writing rather than other style. Therefore, this information can be a consideration for the lecturer in teaching the type of the paragraph.
Fluxonium qubits in a flip-chip package

The strong anharmonicity and high coherence times inherent to fluxonium superconducting circuits are beneficial for quantum information processing. In addition to requiring high-quality physical qubits, a quantum processor needs to be assembled in a manner that minimizes crosstalk and decoherence. In this paper, we report on fluxonium qubits packaged in a flip-chip architecture, where a classical control and readout chip is bump bonded to the quantum chip, forming a multichip module. The modular approach allows for improved connectivity between the qubits and control and readout elements, and separate fabrication processes. We characterize the coherence properties of the individual fluxonium qubits, demonstrate high-fidelity single-qubit gates with 6-ns microwave pulses (without DRAG), and identify the main decoherence mechanisms to improve on the reported results.
Auto-Encoding Variational Bayes

This paper employs the Auto-Encoding Variational Bayes (AEVB) estimator based on Stochastic Gradient Variational Bayes (SGVB), designed to optimize recognition models for challenging posterior distributions and large-scale datasets. It has been applied to the mnist dataset and extended to form a Dynamic Bayesian Network (DBN) in the context of time series. The paper delves into Bayesian inference, variational methods, and the fusion of Variational Autoencoders (VAEs) and variational techniques. Emphasis is placed on reparameterization for achieving efficient optimization. AEVB employs VAEs as an approximation for intricate posterior distributions.
Development of Learning Blocket Media for Vocabulary at A2 Level

The research aims to determine the process of making learning media using Blooket media for vocabulary learning and to describe the results of making learning media using Blooket for vocabulary learning. This research is a compilation study. This research uses the Richey and Klein model. There are three steps in this research, which are divided into three steps: (1) planning, (2) production, and (3) evaluation. The research results show that learning materials on the topic of family history were created using data collected from existing data sources during the research. Blooket's media about family history is packaged well, practical, interesting and effective so that students can easily understand the material and use it as a learning tool.
Website Based Attendance Information System at Jasdam II Sriwijaya

Attendance is mandatory for employees. Jasdam II Sriwijaya still uses manual methods when carrying out the attendance process. Therefore, we need an employee attendance system that can manage data so that it can be done quickly, efficiently and accurately. The result of this independent study is a website-based employee attendance information system which includes managing attendance information. The method used is Waterfall which is arranged in five stages, namely 1) needs analysis, 2) system design, 3) writing program code, 4) program testing, 5) program implementation and maintenance. The subject of this service is a website-based attendance information system at Jasdam II Sriwijaya. So the result obtained is that the attendance process becomes more efficient. After carrying out this service activity, it has a positive impact on the employee attendance system.
Exploring the human digestive system through ARSIPERSIA augmented reality insights

As times evolve, numerous advanced technologies emerge to support human activities. Augmented reality, a technology that integrates virtual objects with real-world elements in the physical environment, is particularly noteworthy. In the field of education, augmented reality is widely applied to enhance the interactivity of the teaching and learning process. This study endeavours to create an application focused on the human digestive system, with the aim of presenting digestive organs in three dimensions. Unlike traditional learning media, which typically feature two-dimensional images or videos of digestive organs, the Augmented Reality Human Digestive System (ARSIPERSIA) application addresses the challenge of visualizing authentic human digestive organs. Unity 3D and Vuforia were employed in the development of this application. The application underwent comprehensive testing through two methodologies: black box testing and usability testing. The results of the black box testing affirm the effective functionality of the application, covering tasks such as image target scanning, information display, and interactive quizzes. Usability testing findings indicate that ARSIPERSIA facilitates students in visualizing human digestive organs, provides relevant information, enhances comprehension of the digestive system, and sparks students' interest and motivation through captivating learning media.
Exploring the potential adoption of Metaverse for Higher Education: Structural Equation Modelling Approach in a Business School context

The evolution of the Metaverse in Higher Education (HE) in Mexico can potentially enhance pedagogy, develop skills, and improve the learning experience. This research aims to estimate the factors guiding the adoption of the Metaverse in a Business School context in Mexico. A survey analysis was conducted to gauge insights from stakeholders on the Metaverse in HE. A total of 117 respondents, comprising students, professors, and staff members, completed the 21-item questionnaire. To determine the relationship between data, a quantitative analysis was performed using a structural equation model (SEM), and a path analysis was computed to illustrate the relationship among the adoption components of the UTAUT model. The study found no correlation between age, gender, and previous experience toward adopting the Metaverse. On the other hand, performance expectancy, effort expectancy, social influence, and facilitating conditions significantly impact the stakeholders' attitudes toward adopting this technology. The R2 coefficient of 94% obtained explains the model's accuracy. The research reveals that a practical learning exercise in the Metaverse improved student knowledge acquisition. Implementing this model is to be at the service of concerned HE authorities to create an adequate environment for adopting the Metaverse in Universities in Mexico.
Find an Editing Buddy to Increase Accuracy

Nonprofit Communications ReportVolume 22, Issue 3 p. 7-7 Valuable Partnerships Find an Editing Buddy to Increase Accuracy First published: 06 February 2024 https://doi.org/10.1002/npcr.32359Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume22, Issue3March 2024Pages 7-7 RelatedInformation
Analysis of Autism Children's Classifications in Elementary School

This research was conducted with the fundamental aim of carrying out a careful analysis of the classification of children with autism in the elementary school environment. Using the case study method, the research approach includes consideration of various aspects, including cognitive characteristics, behavior and social interactions. Data was collected through observations, interviews with teachers, as well as examination of related documents, providing a strong basis for in-depth analysis. With a focus on a deeper understanding of the varied characteristics of children with autism at the elementary school level, the main aim of the research was to classify these children based on their cognitive abilities, behavior and level of social interaction. It is hoped that the results of this research can be used as a basis for designing educational programs that are more appropriate to the individual needs of each autistic child. The benefits are not only limited to improving learning effectiveness, but also include supporting social integration in the elementary school environment. This research involved subjects of children who had autism and attended elementary school. Study participants included children with varying cognitive characteristics, behavior, and levels of social interaction. The results highlight significant variation in the characteristics of children with autism in elementary school, allowing classification based on their cognitive abilities, behavior and level of social interaction. Some children show a positive response to certain learning methods, while others require a more individualistic approach. It is hoped that the classification of research results will provide a solid basis for improving educational programs, increasing learning effectiveness, and supporting the social integration of children with autism in the elementary school environment.
PERBANDINGAN KRITERIA DECISION TREE PADA PENGETAHUAN MASYARAKAT PADA PEMILIHAN UMUM PRESIDEN INDONESIA

In the Presidential election, gen z as a new voter, must know in advance who the presidential candidate will be in the 2024 election as well as the election process, because if voters do not know and do not understand, it will cause the wrong choice will result in their votes cannot be used even to abstain. What factors cause milennials and gen z generations to not know about elections can be determined using a decision tree. Therefore, in this study, a questionnaire was given to millennials and gen z generation to find out whether voters know the presidential candidate to be elected. The data from the questionnaire is processed to become training data and testing data with a ratio of 70:30. Then measure the accuracy level using the C4.5 algorithm with a comparison of splitting criteria, namely gain ratio, information gain and gini index. By knowing the right splitting criteria, the decision tree model can help overcome the problem of overfitting in the data. Overfitting occurs when the model is too complex in memorizing training data, thus failing to generalize well to read new data. The calculation results show the difference in accuracy values between Gain ratio, Information gain and Gini index, namely 81.67%, 83.33% and 83.33%. It can be concluded that for the use of Algorithm C4.5 splitting criteria Gain ratio and Gini index have the same accuracy value for accuracy measurement in this study.
Dynamic Data Placement Strategy with Network Security Issues in Distributed Cloud Environment for Medical Issues: An Overview

Abstract: The rapid integration of distributed cloud systems in the healthcare industry has profoundly impacted the management of valuable medical data. While this advancement has significantly improved data handling, protecting sensitive healthcare information in such a complex environment remains daunting. This comprehensive study explores the crucial intersection between dynamic data placement strategies and network security concerns in distributed cloud environments, particularly healthcare. After establishing the significance and context of this research, the survey delves into the growing need to safeguard medical data within the everevolving landscape of cloud-based healthcare systems. It lays out fundamental concepts, such as dynamic data placement and network security, highlighting their unique implications in the medical domain. Ultimately, this survey sheds light on the most effective approaches for balancing dynamic data placement and network security in the healthcare sector. This research delves into examining many tactics, evaluating their effectiveness in handling delicate medical information, and presenting tangible use cases. A key focus of this investigation is the fusion of data organization and network safety within the healthcare industry. It investigates the adaptability of dynamic data positioning techniques in fortifying network security and safeguarding against potential threats unique to the healthcare sector. Case studies of the successful implementation of these strategies in healthcare establishments are also included.
Does board structure influence employee retention?: A systematic literature review

&lt;p&gt;Employee Engagement (EE) has become a crucial element for the success of any organization. While psychology has conducted extensive research on EE, accounting has yet to give it the attention it deserves. This systematic literature review (SLR) was conducted to explore the linkage between corporate governance (CG) practices and factors that drive employee engagement (EED) in greater detail. The review identified several key factors influencing EED: board composition, audit committees, top leadership expertise, network power, other stakeholders’ supervision, and above-board application. In particular, the study revealed that effective CG practices have positive EE consequences, such as increased staff morale, job satisfaction, and productivity, and decreased employee turnover rates. The study underlined the importance of an employee-centric culture that encourages empowerment and fosters a sense of belonging in achieving maximum business success. It suggests that companies must create a work environment that promotes EE, provides opportunities for growth and development, recognizes employee contributions, and fosters open communication and collaboration. By leveraging these insights, companies can enhance their business operations and achieve maximum success by fostering a culture of EE and empowerment. The study concludes that businesses prioritizing EE as a core value can create a sustainable competitive advantage, increase their reputation, and attract and retain top talent.&lt;strong&gt;&lt;/strong&gt;&lt;/p&gt;
A Systematic Review of Augmented Reality In Mathematics Education In The Last Decade

The goal of the study is to examine a comprehensive review of research involving augmented reality (AR) in mathematics teaching during the previous 10 years. For this purpose, the research was conducted using a systematic review technique. It synthesized a set of 60 articles from 2012 to 2021. Two researchers used content analysis to analyze the data. According to the findings, the majority of publications were published in 2019, with studies mostly aiming at assessing the influence of AR applications on mathematical achievement and exposing viewpoints on AR applications used in mathematics education. Also, secondary school students were mostly preferred as participants. Furthermore, most of the studies found that mathematics teaching with AR applications had a positive impact on academic standing and the teaching process, and that AR applications positively affected attitudes in mathematics lessons, increased the motivation of individuals towards mathematics lessons, and improved three-dimensional thinking skills.
Fostering Responsible Behavior Online- Relevance of Cyber Ethics Education

The role of ethics becomes even more significant given the huge advent and increase of cyber-criminal activities in cyberspace. It has become an urgent necessity to curb the menace of unethical practices in cyberspace and contribute ethical guidelines to a safe and secure digital environment. To minimize the growth of cybercrimes and unethical issues online, users must understand how existing societal norms and ethics can be extended according to the challenges posed by ethical dilemmas in cyberspace. Hence, understanding the importance of cyber ethics in daily life has become essential than ever before. Cyber ethics implies the rules of social engagement and responsibility in cyberspace; it is really about social responsibility in cyberspace and it is aimed at inculcating knowledge of responsible behavior in man when using the online environment. This paper is an attempt to provide an overview of the relevance of cyber ethics education in fostering responsible behavior online.
The optimal scaling factor based on Secant Method for image watermarking using the hybrid DTCWT-DCT domain

This paper proposes an implementation of the secant optimization method on the watermarkembedding in DTCWT domain. An objective function combining PSNR and NC (The Normalized Correlation)values calculated for a set of common attacks is used in the optimization process. The aim is to enhance the tradeoff between robustness and imperceptibility against the various image processing attacks via an automatic andcareful selection of the scaling factor using optimization. The watermark is inserted in the high energy bands ofDCT-transformed sub-vectors, which were generated from the DTCWT coefficient decomposition of the hostimage. Experimental results performed on a set of 512×512 greyscale images, show better results than theexisting schemes for most common image attacks such as compression, low-pass filtering and noise addition.
A bibliometric analysis of the of cybersecurity policy research

The cybersecurity policy is a fundamental framework for developing a robust defense strategy for an organization's digital landscape. It involves various critical steps, including classifying information based on sensitivity, implementing strict access control, encrypting data in transit and at rest, continuous security awareness training, an incident response plan for addressing security breaches, deploying network security measures such as firewalls and intrusion detection systems, and physical security protocols to protect data centers and infrastructure. The purpose of this study is to answer the following questions: How are articles on Cybersecurity Policy classified? What are the latest study trends in Cybersecurity Policy analysis? What are the most frequently published research topics? What are the potential areas for future research in Cybersecurity Policy analysis? This research used a quantitative-descriptive technique. This bibliometric analysis explores the extensive and dynamic domain of cybersecurity policy, examining academic outputs from various dimensions. Utilizing standardized methodologies, including Mendeley software, VOSviewer, and PoP, this study navigates the complex terrain of academic literature. The findings reveal major topics such as 'Cybersecurity policy,' 'Network security policy,' and 'Cybersecurity' emerge, illuminating both well-explored areas and less developed fields such as 'National cybersecurity' and 'Cyberspace.' These unexplored aspects present intriguing avenues for future research.