Reviewerly/exHarmony huggingface dataset:
Adaptive Edge-Level Personalization on Hierarchical Federated Learning

Federated learning faces the challenge of non-IID data distribution while the global model doesn’t achieve well for individual clients. To address this challenge, we propose hierarchical personalized federated learning (HPFL) and achieve edge-level personalization, which overcomes non-IID data distribution and alleviates the overfitting of the pesonalization process. The three-layer framework makes the learning and personalization process more feasible than traditional two-layer federated learning since real-world edge servers usually have sufficient computing power than local clients and have efficient communication with the cloud server. In our approach, the personalized model on each edge server is generated by mixing the global model and edge model, which can be updated based on adaptive mixing parameter and optimized after multiple iterations. Experiments on MNIST and FMNIST show that the proposed HPFL overcomes non-IID data distribution, achieves comparable performance to traditional two-layer personalization APFL and outperforms HierFAVG under non-IID data setting.
A Study on the Correlation of “Gaixia Ge” and Its English Translations from the Perspective of Experiential Metafunction

This paper attempts to analyze and compare the transitivity processes of “Gaixia Ge” by Xiang Yu and its seven English versions from the perspective of the experiential function of Halliday’s Systemic Functional Linguistics and makes a comment on the similarities and differences among them. Through the analysis of the transitivity of the poem and its translations, it is found that there are 6 versions for the first line, 2 versions for the second and the third lines, and 4 versions for the fourth line, in which the transitivity maintains a certain consistency with the original poem. After the analysis of similarities and differences between them, Spearman Correlation is applied in the SPSS. It shows that there is a significant positive relationship of transitivity between the version by Watson and the original poem, among which the translation by Watson is highly correlated with the transitivity of the original poem with the following coefficient, ρ = 1.000. This study can give clues to the study of poems and their translations, by exploring the differences of the transitivity processes, participants and circumstantial elements with the theoretical framework of Functional Grammar.
ANEW ARCHITECTURE OF KEY GENERATION USING DWT FOR IMAGE ENCRYPTION WITH THREE LEVELS ARNOLD TRANSFORM PERMUTATION

The security of image transmission is an important issue in digital communication. As well as it is necessary to preserve and protect important information for several applications like military, medical and other services related to high confidentiality over the Internet or other unprotected networks. In this paper a proposed encryption scheme was introduced that using Lorenz system with a circular convolution and discreet cosine transform (DCT). The diffusion process was achieved using three levels of Arnold transform permutation: - namely, block level, inside each block and pixel level. The image was divided into blocks of sizes 8x8 pixels and shuffle by applying Fisher-Yates permutation image pixels. The DCT was applied to each block and multiplied by the H kernel matrix to achieve the circular convolution. Next the logistic map is used for diffusion to get the cipher image. A new key generation method is applied in order to produce the key values for generating the chaos numbers sequence. Finally applying the discreet wavelet transform (DWT) to the image will produced four quarters (LL, LH, HL and HH). The cosine of each pixel in the LL and HH quarters were computed. The sine of each pixel in the LH and HL quarters were also computed in order to generate the keys for the chaos sequence. By using this way of keys generation in every image, the differential attack possibility will be negligible
ARCH-COMP23 Category Report: Hybrid Systems Theorem Proving

This paper reports on the Hybrid Systems Theorem Proving (HSTP) category in the ARCH-COMP Friendly Competition 2023. The characteristic features of the HSTP category remain as in the previous edition: HSTP focuses on flexibility of programming languages as structuring principles for hybrid systems, unambiguity and precision of program semantics, and mathematical rigor of logical reasoning principles. The benchmark set includes nonlinear and parametric continuous and hybrid systems and hybrid games, each in three modes: fully automatic verification, semi-automatic verification from proof hints, proof checking from scripted tactics. This instance of the competition focuses on presenting the differences between the provers on a subset of the benchmark examples.
OCR Using Python and Its Application

Optical Character Recognition (OCR) of papers has tremendous practical value given the prevalence of handwritten documents in human exchanges. A discipline known as optical character recognition makes it possible to convert many kinds of texts or photos into editable, searchable, and analysable data. In the past ten years, academics have developed systems that automatically evaluate printed and handwritten documents to convert them to electronic format. In the modern era, as demand for computer systems arose, the demand to convert paper text and computer vision also erose. To interact the computer with capability to read text from images, videos and images have been arose rapidly and many software companies came in role to fulfil this need. One of the active and difficult study areas in the world of pattern recognition and image processing has been handwriting recognition. Among its many uses are bank checks, reading assistance for the blind, and the conversion of any handwritten document into structural text. The main aim of this paper is to create a searchable pdf from the image and bring the application to easy use and deployable on premises and cloud.&#x0D;
Enhancing Asynchronous Online Learning with Mobile Augmented Reality Application: A Case Study in Higher Education Business Courses

This case study outlines the development and utilization of a Mobile Augmented Reality (MAR) application to teach an asynchronous online lesson on e-commerce. The MAR technology was leveraged primarily to enhance the presentation of online learning materials, add interactivity to the learning process, and enable students to access the lesson from anywhere via their ubiquitous mobile devices. Two groups, comprising a total of 105 business students, participated in the online lesson during the COVID pandemic. Students' experiences of the implementation were captured through an online survey to find out how the MAR technology was perceived, and what were the benefits and challenges of using the technology. This study contributes to the research on the use of augmented reality in education and offers practical recommendations for teachers to consider when designing and implementing MAR online lessons, including the importance of learner-centered design, careful guidance on technology use, and encouragement of student interaction. The study concludes that augmented reality is a useful tool for improving learning materials and asynchronous online learning practices and MAR applications can be effective for learning with compact materials and micro-credentials.
Flipping the Script: Post-COVID-19 Opportunities, Challenges, and Threats amidst the Digital Revolution in Higher Education

Once considered a marginal and untrustworthy pedagogical approach by higher education institutions, online learning has become mainstream. Consider this - the entire educational system - at the global level, from P-12 to the college level, shut down following the declaration of the lockdown period of the novel coronavirus disease 2019. Education's long-term effects of the abrupt 2020 closing of schools' and universities' buildings and the transition to online learning environments are yet to be known; the adoption of online learning has exponentially grown over the last decade. Higher education's forced adoption of online learning, with no other limited options in response to COVID-19, has accelerated the curve. With this unanticipated shift from the classroom to the virtual sphere at the global level, some wonder whether the adaption of online learning will persist post-pandemic and what impact such a shift would have on global demand for education and institutional strategic plans. This work aims to formulate and add a new perspective to the growing literature on transitions and sustaining quality education in the post-COVID-19 pandemic era.
DEI (Diversity, Equity, Inclusivity) Leadership Initiatives for Inclusion of a Remote Workforce

Organizations must dramatically pivot in a post COVID environment. Social pressures and changing work habits will shift corporate directives and strategies. The demands and challenges of this increasingly important corporate initiative (Diversity, Equity, Inclusivity) has been elevated and accelerated post COVID. Organizations and subsequently, leaders are in search of strategies and tactics to instill DEI as a core value in their enterprises. This is deemed critical for internal operations but also for external relationships. Increasingly, the best and the brightest will align with organizations that value the virtues of Diversity, Equity, and Inclusion. This research interviewed key executives to discuss their strategies for the future. Relevant research on the topic has been presented to provide a comprehensive view on DEI imperatives for organizations with employees. The findings of this research indicate it is a priority and there are core elements to be considered by every leader. The research specifically explores three core concepts: Culture, Communication, and Courage.
The Effect of Using Artificial Intelligence and Digital Learning Tools based on Project-Based Learning Approach in Foreign Language Teaching on Students' Success and Motivation

The aim of this study is to determine the effect of digital tools and artificial intelligence applications on the achievement, motivation and retention of university students on the basis of project-based teaching approach in foreign language course. Pre-test post-test experimental design with control group was used as the method in the study. A total of 64 (32 experimental, 32 control) second-year students studying at the universities in Almaty, Kazakhstan participated in the study. The participants were divided into two groups as control and experimental groups. Foreign language Achievement Test and Motivation Scale for foreign language were used as data collection tools. In the research, in the experimental group, applications were carried out with digital tools and artificial intelligence on the basis of project-based learning approach. In the control group, the foreign language course was carried out with the traditional teaching approach. The application lasted eight weeks in total. The results of the analysis showed that the applications carried out in the experimental group had positive effects on the students' foreign language course achievement and motivation. On the basis of the project-based learning approach, digital tools and artificial intelligence applications not only contributed positively to students' achievement and motivation, but also ensured the retention of what was learned. Finally, suggestions for future research were developed in the study.
EXPLORING THE ROLE OF DYNAMIC ENVIRONMENTS ON THE FIRMS’ INNOVATION PERFORMANCE: MEDIATING ROLES OF TECHNOLOGY AND MARKET-SENSING CAPABILITY

Purpose: This study aims to analyse the influence of dynamic environments on technology and market-sensing capability. It also aims to examine the influence of technology and market-sensing capability on innovation performance. Besides, it aims to explore the influence of innovation performance on the organisation’s financial performance. It also aims to examine the influence of technology and market-sensing capability on the organisation’s financial performance. Design/methodology/approach: The research model was tested using a structural equation modelling design based on survey data from 183 Saudi companies from different sectors, used by software (SPSS v. 28 and SmartPLS v. 4). Findings: This study shows that dynamic environments strongly influence both financial and innovation performance. However, this study shows that innovation performance does not directly affect financial performance. Furthermore, this study shows that dynamic environments strongly influence both technology and market-sensing capability. Likewise, this study shows that both technology and market-sensing capability strongly influence financial performance. However, this study shows that both technology and market-sensing capability do not directly affect innovation performance. Originality/value: This study has demonstrated that dynamic environments will have a direct effect on the financial performance of companies by compelling them to allocate their resources more strategically and flexibly in order to adapt to the changing and unpredictable conditions of dynamic environments. Moreover, this study has also demonstrated that dynamic environments will have a direct effect on the technology and market-sensing capability of organisations. This will motivate organisations to gather and analyse information about customers, competitors, and market trends, and to use this information to identify and exploit opportunities for innovation, differentiation, and value creation for customers and stakeholders. In addition to the previous findings, this study has also shown that dynamic environments will improve the technology and market-sensing capability of organisations. This will inspire organisations to collect and analyse information about the needs, preferences, and behaviours of customers, the strategies, actions, and strengths of competitors, and the trends, opportunities, and threats of the market, and to use this information to recognize and leverage opportunities for innovation, differentiation, and value creation for customers and stakeholders. Furthermore, this capability allows organisations to use their dynamic capabilities to innovate with their resources and competencies, which are essential for gaining competitive advantage and superior performance in dynamic environments.
The Impact of Psychological Capital on the job performance at Palestinian Entrepreneurial Projects

The study aimed to identify the Impact of Psychological Capital on the job performance Employee at Palestinian Entrepreneurial Projects. To achieve the goal of the study, the descriptive analysis and analytical approach was relied upon, through which a questionnaire was developed consisting of (52) paragraphs, and the study community consisted of (5322) workers in Bethlehem and Hebron in entrepreneurial projects at the year 2021, where the number of workers in Hebron Governorate reached (3587), while the number of workers in Bethlehem (1735). The questionnaire was distributed to a random sample of (662) workers working in entrepreneurship projects in the two governorates of Hebron and Bethlehem, and the researcher collected (536) questionnaires, and the researcher collected (536) questionnaires, and the number of questionnaires valid for analysis reached (532), thus the response ratio was (80.3%). After analyzing the data statistically, the study concluded that there is a significant effect of psychological capital on the job performance of workers in Palestinian entrepreneurial projects. The study recommended the necessity of involving employees in training programs to enhance their various skills to improve their overall performance, by enabling them to analyze the reality of the job tasks assigned to them and the circumstances surrounding them, and how to respond and adapt to these conditions to perform the task in the best possible way.
Integration of Sentinel-2A Imagery and Laboratory Measurements for Estuarine Pb and TSS Concentration Monitoring in Suwung, Denpasar City, Indonesia

Research has been carried out on integrating the results of Sentinel-2A and laboratory image data measurements in the form of a mathematical model that can be used to estimate the concentration and spatial distribution of Pb and Total Suspended Solid (TSS) of the Suwung estuary, Denpasar city, Bali, Indonesia. Integration is carried out using the regression method and correlation of the pixel value measurement results of the Sentinel-2A and laboratory images. Pixel values in Sentinel-2A image data which represent TSS concentrations are obtained by applying the TSS algorithm and Pb pixel values through Sentinel-2A band matching. The number of samples tested was 30 which were taken and measured at predetermined coordinate points. There are differences in the results of concentration measurements, both Pb and TSS obtained from laboratory measurements with Sentinel-2A pixel values. The integration results obtained in the form of a mathematical model in this research are for Pb, it is p=33.757q – 1.1345 and for TSS it is y=1.0213x – 0.2921. The variables p and y are the results of laboratory measurements, while the variables q and x are the results of measuring the Sentinel-2A pixel values. The spatial distribution of Pb detected was mostly on the west side and a small part on the east and north. For TSS, most of it is upstream in the north, while a small part is in the south and east.
The Role of Trust in Cloud Service Providers on the Adoption of Cloud Computing in Saudi Arabia: An Empirical Investigation

Cloud computing has emerged as one of the most significant developments in the field of Information Technology (IT) in recent years, allowing others to leverage third-party services. Therefore, it is essential to identify and address trust in cloud service providers as one of the key predictors of the acceptance of cloud computing. Several prior studies covered the technological facets of cloud-based contexts, including cloud virtualization, scalability, and security. However, it is argued that the biggest barrier to cloud computing is not technical but rather cognitive or behavioral and in particular attitudinal. Thus, this research aims to study individuals' attitudes and perceptions toward cloud computing, with a particular concentration on the perception of trust and its constructs in the cloud computing environment, namely Service Level Agreements (SLA) verification and reputation, in order to investigate the factors influencing the adoption of cloud computing in Saudi Arabia. This study presents an extended Technology Acceptance Model (TAM) to include trust as a cognition, representing a person's perception of social influence to perform or not perform a behavior under consideration. The study model also identifies factors affecting cloud computing adoption by considering reputation-based trust and SLA verification-based trust variables, which have been rarely examined before. The proposed model was able to explain 64% of the variance in behavioral intention and 78% of individuals' attitudes toward the adoption of cloud computing in Saudi Arabia. The study's findings show that the proposed model explained a significant amount of variation in cloud computing adoption. It suggests that the model expansion by incorporating trust in cloud computing service providers, reputation-based trust, and SLA verification-based trust factors were valuable explorations. Further, the results also show that "reputation-based trust" alone explains 29.46% of individuals’ attitudes and 23.45% of their "behavioral intentions" toward using cloud computing. This effect on people's attitudes and intentions towards adopting cloud computing was indirect and through the trust construct.
Various Dominations in Bipolar Intuitionistic Anti Fuzzy Graphs: A Mathematical Approach

This paper introduces bipolar intuitionistic fuzzy graphs (BIFG) with completely linked dominance. The bipolar intuitionistic antifuzzy graphs (BIAFG) dominating notions are also covered in the paper. In addition, the subject of 2-domination in BIAFG is investigated. In BIAFG, we created the secure edge dominating set and its dominance number. Furthermore a few conclusions with appropriate instances are drawn.
Zero-Waste System Education in Ecotourism Area of Kebonagung Village, Imogiri District, Yogyakarta Province, Indonesia

The amount of organic and inorganic waste which has not been appropriately managed has become a global problem. The zero-waste system can then be a solution to waste problems. The zero-waste system must be implemented to protect areas with valuable natural and cultural resources. For instance, it could be implemented in the ecotourism area of Kebonagung village, Imogiri District, Yogyakarta. This educational program aims to provide understanding and upgrading skills related to the zero-waste system by creating a waste-free ecotourism area. This program will be conducted from December 2021 to September 2022 through socialization, waste treatment training and application, and evaluation monitoring. This program resulted in the socialization implementation of inorganic waste processing, liquid organic fertilizer, home-grown vegetables, Mina-padi (rice-fish farming), biogas, and Black Soldier Fly (maggot) larvae cultivation—which is the main focus of this program. Waste system training and application are carried out by turning plastic bottles into crafts, building Omah Maggot (a maggot breeding ground), also maggot cultivation training, monitoring, and guidance. This maggot cultivation could accommodate up to four kilograms of organic waste per day, along with a half kilogram of harvested maggot that could be harvested as fish seed. The remaining organic waste, known as kasgot, can be used as plant fertilizer. From evaluation to in-depth interviews, it is known that the community understands the zero-waste system concept and application. Yet, they lacked the organic waste handling experience for maggot, and no group yet can handle inorganic waste processing. From the results obtained, it can be concluded that this program received positive support and responses from the community that has gained knowledge and skills related to a zero-waste system toward creating a waste-free area.
Institutional Quality, Corruption, and Income Inequality - A Panel Study of Selected SAARC Economies

Previous studies have primarily focused on issues related to income inequality, aiming to identify the underlying causes and urging swift action to mitigate such disparities. In this context, the current article expands upon existing literature by introducing the influence of corruption and institutional quality. This study contributes to the existing knowledge by investigating the interplay between institutional quality, corruption, and income inequality within SAARC countries spanning 2000 to 2021, sourced from World Governance Indicators, Transparency International, Global Consumption and Income Project, and World Development Indicators. After analysed the properties of data, FMOLS analytical approach employed. The empirical analysis validates the enduring effects of the examined factors on income inequality over the long term. The findings indicate that institutional quality exerts a notable and favorable influence in reducing income inequality. Conversely, corruption, the combined impact of corruption and institutional quality substantially and adversely affect income inequality. Addressing the imperative of ensuring an equitable income distribution across the SAARC economies necessitates implementing comprehensive strategies to foster enduring institutional quality and effectively manage corruption. Study’s conceptual and empirical advancements carry significant implications for policy formulation within this region. They offer valuable insights for the region’s endeavors to ameliorate income inequality. This study underscores the importance of measures to enhance institutional quality and combat corruption within SAARC countries. Such measures should be strategically designed to tackle income distribution challenges and promote greater equity.