Reviewerly/exHarmony huggingface dataset:
Disclosure Model of Capital Accounting Information Based on Immune Particle Swarm Optimization Algorithm

In order to analyze the tendency of capital accounting information disclosure, a capital accounting information disclosure model based on immune particle swarm optimization is proposed. From the level of corporate governance and financial status of enterprises to analyze and determine the factors that may affect the tendency of capital accounting information disclosure, the construction of enterprise capital accounting information disclosure impact index system; Based on this index, the model of capital accounting information disclosure is constructed, and the functional relationship between each factor variable and disclosure tendency is established. The immune system was used to optimize the particle swarm optimization algorithm, and the immune memory and self-regulation mechanism were used to maintain the particle concentration, ensure the diversity of the population, and avoid the disadvantage of particle swarm optimization algorithm easily falling into the local optimal solution. The immune particle swarm optimization algorithm was used to complete the parameter estimation of the capital accounting information disclosure model. The results show that the four factors of ownership structure, financial leverage, growth and audit opinion affect the disclosure tendency of capital accounting information of enterprises, and the accuracy of the research model for capital accounting information disclosure tendency analysis reaches 75%.
Enhancing Cybercrime Deterrence with Artificial Intelligence

Web phishing poses a significant security challenge for web users owing to three primary factors. First, it is easy to implement and does not require profound technical expertise in programming or networking. Second, it can be executed across various platforms, including the web, SMS, and social media platforms. Finally, this type of attack relies on social engineering, meaning that users' responses are influenced by the content presented to them. Over the past few decades, there has been a proliferation of methods and services designed for phishing detection. In this study, we introduced a novel approach to web phishing detection based on a hybrid weighted machine learning framework. Our method harnesses the capabilities of four distinct machine learning algorithms, including an unsupervised approach (K-means) and three supervised techniques. The outputs of these algorithms were strategically weighted to produce a final decision. To train and evaluate our proposed algorithm, we employed a vast dataset encompassing no content web features, totaling 111 distinct attributes. The correlations between these features and the classification outcomes were leveraged to streamline the feature set, and various correlation values were explored. Our findings from the training and validation phases underscore the significance of the correlation between the chosen features in determining the accuracy of the algorithm. In summary, our research introduces an innovative approach to combat web phishing, showcasing the potential of hybrid machine learning techniques and the critical role of feature selection through correlation analysis to enhance detection accuracy. The accuracy outcomes of the various algorithms exhibited a range of values, ranging from 0.6561 to 0.8833, across different correlation thresholds when considering all features.
Advancements and Challenges in 360 Virtual Reality Video Streaming: A Comprehensive Review of Cloud-Based Solutions

As the demand for immersive experiences continues to surge, 360 Virtual Reality (VR) video streaming has emerged as a captivating medium. This review paper delves into the dynamic intersection of 360 VR video and cloud computing, exploring the advancements, challenges, and future prospects within this evolving landscape. Beginning with an introduction to the significance of 360 VR content, we navigate through the historical evolution of virtual reality and the fundamental principles of cloud computing. The paper elucidates the intricacies of 360 VR video capture and production, addressing challenges and technological breakthroughs. A critical examination of the role of cloud computing in video streaming services forms a pivotal section, encompassing discussions on architecture, protocols, and the optimization of cloud services for VR content. The unique challenges posed by 360 VR video streaming, including high bandwidth demands and latency considerations, are dissected, offering insights into the complexities of delivering immersive experiences in real-time. Furthermore, the paper scrutinizes existing cloud-based solutions and technologies dedicated to 360 VR video streaming. From streaming protocols to adaptive bitrate technologies, the review encapsulates the state-of-the-art developments in the field. Quality of Experience (QoE) and user perceptions are explored to gauge the impact of 360 VR video streaming on user engagement. In forecasting future trends, the paper discusses emerging technologies, ongoing research endeavors, and potential innovations that promise to shape the future of 360 VR video streaming in the cloud. The conclusion synthesizes key findings and emphasizes the integral role of cloud computing in advancing the realm of immersive video experiences. This comprehensive review aims to serve as a valuable resource for researchers, practitioners, and enthusiasts navigating the dynamic landscape of 360 VR video streaming and cloud-based solutions
Facial Feature Detection in Real-Time: A Novel Approach with MTCNN Deep Learning

In this study, we present an innovative approach to real-time facial feature detection utilizing the MTCNN (MultiTask Cascaded Neural Network) deep learning architecture. Unlike traditional methods, our novel framework combines advanced techniques to achieve unparalleled precision and efficiency in facial feature localization. Through a meticulous exploration of MTCNN's capabilities, we unveil a transformative methodology that significantly enhances the speed and accuracy of real-time facial detection. Our research focuses on pushing the boundaries of existing facial recognition technologies, introducing a fresh perspective on the application of MTCNN. By leveraging its unique architecture, we not only address the challenges associated with real-time detection but also enhance the overall robustness of the system. The proposed approach showcases the untapped potential of MTCNN, establishing it as a key player in the realm of facial feature detection. Through rigorous experimentation and evaluation, we demonstrate the superiority of our approach over conventional methods, highlighting its effectiveness in diverse scenarios. This work contributes to the ongoing evolution of deep learning applications in computer vision, with implications for security, surveillance, and various human-computer interaction domains. Our findings open new avenues for researchers and practitioners seeking cutting-edge solutions in the dynamic field of real-time facial feature detection.
Design and application of pseudo-random sequence base on logistic map

Digital image is an important information carrier. In order to prevent information from being stolen and leading to information leakage, it&apos;s very important to protect the digital image. This paper proposes a pseudo-random sequence based on logistic map and studies the encryption algorithm. First, use the logistic map to generate a logistic chaotic sequence, remove the previously poor chaotic terms and obtain a chaotic sequence with good chaotic properties. Second, sort the chaotic sequence according to certain rules and use the index of the sorted sequence to scramble the pixels of the plaintext image. Then, diffuse the scrambled image pixel matrix. By combining chaotic sequences and using the bitwise XOR method, the distribution of grayscale values in the scrambled image is changed to further improve the encryption effect. Finally, combined with the characteristics of S-box, the pixel values of the digital image are changed and complete a further encryption process. After a series of operations such as scrambling, diffusion, and pixel value replacement, the ciphertext image has reached a good confidentiality state. This paper comprehensively evaluates the encryption effect and security of the method proposed in this paper from four aspects: key analysis, histogram analysis, correlation coefficient analysis, and information entropy analysis. It is believed that the encryption effect of the algorithm is good.
An International Perspective on the Connotation, Framework, and Development Strategies of Teacher Digital Literacy

With the rapid advancement of technology, digital competence has become a crucial aspect of professional development for educators. This article reviews relevant literature and summarizes the connotation, framework, and development strategies of teacher digital literacy in different countries. The aim is to promote the professional growth of teachers in the digital age, encouraging each educator to continually strive for “Excellence in teaching”. Furthermore, this research seeks to identify digital literacy development strategies and practices for various types of teachers.
MODELING OF PROFESSIONAL TRAINING OF PEDAGOGICAL STAFF IN CLASSICAL UNIVERSITIES

The article presents the development of a model of professional training of teachers in classical universities with the identification of the main key positions: in classical education most fully and effectively combine all aspects of quality training of teachers; the model is a formalized structure that will work only if it is filled with content; the model is fundamental, integrative and modernizing at the same time, to include target, theoreticalmethodological, semantic, organizational-technological and criterion-estimating structural blocks which allow to structure and specify: the purpose of the task, methodological approaches, the maintenance of structural components, principles of the form, methods, means, methods, stages, functions, pedagogical conditions, criteria and indicators of diagnostics of the level of formation of professional competence of pedagogical staff, levels and result; training of pedagogical staff in classical universities is defined as the most important and system-forming function of a higher education institution that ensures equality of education: pre-vocational training; professional training; postgraduate training, that in a complex provide the level of development of professional competence of pedagogical staff corresponding to requirements of the standard. The proposed author's model corresponds to the identified trends in the coordination of changes in pedagogical activities, requirements for professional training of teachers in accordance with the standard of higher education in the profession "Teacher of general secondary education"; opens opportunities for the development of similar models of training specialists in other specialties in classical universities.
STAGES OF DEVELOPMENT OF BLENDED LEARNING TECHNOLOGIES IN THE CONTEXT OF DIGITALIZATION OF THE EDUCATIONAL PROCESS

The technology of blended learning is one of the most promising in today's society. This article expands the notion of blended learning, discusses its history and stages of development in the world. As a result of an analysis of the genesis and history of the emergence and development of blended learning the author reveals its features at each stage of development in the world system of higher education. The main reasons for the emergence of blended learning in the educational process. At the same time the main historical moments, which formed the basic principles of its development technology of blended learning in today's conditions. The author's permutation of the formation and development of the system of mixed learning in the world and Ukraine in particular. The paper outlines the conditions for the use of digital educational resources as an inseparable and very important component of blended learning. It is shown that their features that emerge from the general properties of digital media, which distinguish them from printed materials and give them low historical advantages. In mixed learning environments, digital resources acquire entirely new didactic properties: diversity of forms of educational information presentation and multimedia; concentration, diversity and variability, and as a result, variability; interactivity; flexibility and adaptability. It is shown what types of digital educational resources and online services are actively used at the current stage of development of blended learning technologies. It has been announced that digital resources can be used in blended learning as well as those created by the teachers themselves. However, it is recommended that preference be given to integrated electronic resources which combine educational content and tools for organizing the educational process. However, blended learning is an advanced educational technology that has broad prospects for use and further development. The main reason is that blended learning, when properly and fully applied, leads to the formation of valuable qualities of a person, which are also known as skills of the XXI century: Critical thinking, ability to choose reliable data sources and select information necessary for problem solving; creativity, the ability to creatively rethink the information available, to synthesise new ideas and solutions; teamwork, the ability to interact productively with others, to find like-minded people and form teams; the desire to learn and grow throughout life; the ability to make decisions and be responsible for them, etc.
Connecting the dots of Ethical Leadership and Job Satisfaction: Moderated Mediation Effect of Co-Worker Undermining and Employee Engagement.

In the past studies, numerous scholars have given their focus to examining the impact of ethical leadership on the organization’s work outcomes. This study investigates the influence of coworker undermining between ethical leadership and employees’ engagement and draws the Social Rule Theory in a broader perspective for reducing the negative social interaction in the workplace. The purpose of this study is to check the effect of social undermining on the work outcomes of the organization by analyzing the job satisfaction of employees. We suggested that ethical leadership would be more influential on the employees’ engagement (cognitive, affective, and emotional) by using another theory, Social Learning Theory, which will engage the employees with their organization and promote a high level of satisfaction the employees with their jobs. Coworker undermining is assessed as a moderator between ethical leadership and employees’ engagement it is highly problematic for leaders when it will exist in their workplace. For analysis of the model, administrated 515 questionnaires were used which were collected from the employees working in educational institutions. Cross-sectional and non-Probability Convenience sampling technique was used for the data collection. The finding of our study has a fruitful effect on enhancing the employees’ engagement by using effective ethical leadership and reducing the effect of coworker undermining. However, employees’ engagement has a significant relationship between ethical leadership and job satisfaction but another hand positive effects will be disappeared in these relations due to the existence of coworker undermining between mediators and ethical leadership.
Analisis Smart School Manajemen Layanan Ujian Akhir Semester Pada Aplikasi Qualitiva menggunakan Framework ITIL Versi 3 di SMA

Smartschool is a school concept that uses information and communication technology (ICT) to support the learning and assessment process in the classroom. As is the case at SMA Negeri 22 which already uses information technology in the form of online-based exam applications, one of which uses Qualitiva for the end-of-semester exam process. The research was conducted with the aim of improving the quality of service in the Qualitiva online-based exam application. The method used in this research is descriptive qualitative with data collection techniques through interviews and observation. The research results show that the implementation of the ITIL 3 framework in the qualitative online exam application can provide improved service management at SMA Negeri 22 Palembang by using the ITIL 3 Service Management Lifecycle which includes service strategy, service design, service transition, service operations, and service monitoring. Thus, based on the results of the smart school analysis, final semester exam service management in the Qualitiva application using the ITIL version 3 framework at SMA Negeri 22 Palembang can ensure that the services provided meet user needs and can be run effectively and efficiently. Qualitiva is provided by the SMA Negeri School. 22 Palembang based on IT can meet user needs and can be run effectively and efficiently in order to improve school management services at SMA Negeri 22 Palembang.
Pelatihan Dasar IoT Menggunakan Tinkercad Bagi Siswa SMK Kristen Immanuel Pontianak

Internet of Things (IoT) technology as one of the technologies in the Industrial Revolution 4.0 era allows communication between electronic devices and sensors via the internet. This is very helpful for human life. Various applications of IoT have expanded in the fields of medicine, agriculture, logistics, energy, and many more. With the rapid growth of IoT even in the industrial world, professionals who have capabilities in this field are needed. Responding to the need for manpower in the Industrial Revolution 4.0 era, this community service activity was carried out to equip students at Vocational High Schools (SMK). The implementation of this activity succeeded in providing understanding and knowledge to the students of Christian Vocational High School Immanuel, Pontianak. This is indicated by 63% of the student participants experiencing an increase in their pre-test and post-test scores.
Understanding the importance of ISBN codes and creating a 13-Digit ISBN check digit

This article provides a comprehensive review of ISBN codes, shedding light on their significance and outlining the process of generating a 13-digit ISBN check digit. ISBN codes (International Standard Book Number) play a crucial role in identifying and cataloging books, serving as a unique identifier for each publication.
Evaluate the potential of building Thu Dau Mot smart university model by swot

Thu Dau Mot University is one of the main public education institutions in the South-Eastern region of Vietnam. The vision of the university is to adopt innovative teaching methodologies to improve education quality and attract more students. Thu Dau Mot University envisions becoming a smart university as one of its long-term strategies in order to be aligned with the smart city orientation of Binh Duong province. This paper evaluates the potential of building Thu Dau Mot university model by SWOT analysis. The data used in this paper are 18 in-depth interview samples of students, who are studying in different majors at Thu Dau Mot University. It’s results will serve as a reference for Thu Dau Mot university’s leaders to identifying where are the strengths, the weaknesses, the opportunities and the threats in their process of smart university development. Finally, this paper has provided recommendations to Thu Dau Mot university for becoming a smart university.
Implementasi Sistem Informasi Bank Sampah Dengan Fitur Location Based Service Menggunakan Metode Waterfall

A waste bank is a collection place for used goods to be processed and reused which has a system like banking in general but the transaction is used goods with a goods collector system providing prices according to the weight of used goods that have been predetermined, household needs everyday increase, namely the desire to buy new goods to meet these needs or also buy the same goods because of daily needs, With this new item also indirectly replaces the item that was once used. Therefore, an application is needed that can facilitate transactions between local residents and collectors from waste banks to transact directly and easily. The purpose of designing a waste bank application with the Location Based Service feature is to facilitate used goods transactions which are usually done manually and help overcome the management of used goods that are still ineffective until there is still a lot of waste wasted. The method used is the waterfall method which gradually starts from needs analysis, design, design to application experiments. The expected result of this research is that it can help people in the Nogotirto area become more enthusiastic about depositing their used goods so that it not only helps in reducing the disposal of inorganic waste or used goods that are thrown away in vain but can also help people earn money if they deposit used goods at the waste bank through this information system.
Rancang Bangun Aplikasi Sistem Pendukung Keputusan Kenaikan Jabatan Pegawai Dengan Menggunakan Metode Multi Criteria Decision Making (MCDM)

The system for increasing employee positions at the Dinas Perkebunan dan Peternakan of North Sumatra Province has still been carried out using a computer, but the system used is only for inputting data and is not integrated, so it does not rule out the possibility that decision making is carried out subjectively by only looking at it from one side. In certain aspects, of the promotion process, employees who only look at their daily habits at work are not effective. Seeing the existing problems, a decision support system is needed that can help solve problems in decision-making by adjusting the criteria and weights that have been determined by the agency. The method used in decision-making is a multi-criteria decision-making method, with this method we can find out employee data included in the weights and criteria for promotion at the Dinas Perkebunan dan Peternakan of North Sumatra Province. There are problems with the Department of Agriculture and Animal Husbandry of North Sumatra Province requiring a Decision Support System in determining employee promotions. The system development method using the waterfall model is a systematic and sequential software development that will be built using a programming language. The final result of this research is the creation of a Decision Support System for Employee Promotion at Dinas Perkebunan dan Peternakan of North Sumatra Province based on integrated co-opterization can determine promotions for employees who are worth considering and have not been selected to choose the best one in the completeness of the position file. After the decisions obtained in the decision support system application, the system will display the results of the decisions that have been taken.
Pengelompokan Untuk Penjualan Obat Dengan Menggunakan Algoritma K-Means

Drug grouping is an arrangement that adjusts to the flow of placement or drug layout is more suitable for standard processes. Utilization of existing data through the clustering method approach can be applied to analyze in grouping drug data on data availability and inventory in warehouses so as to provide knowledge and information. The clustering method is processed using the K-Means algorithm where the results also show a new knowledge, namely the grouping of drug data based on 2 clusters. Cluster 1 is a high need category with availability of 71 out of 100 availability categories based on the amount of drug data tested, then cluster 2 is a drug category with moderate or low availability, namely 29 out of 100 availability categories based on the number of drug data tested. Tests using Rapid Miner tools can also produce similar insights, namely each cluster has cluster group members according to manual calculations such as Cluster_0 in Rapid Miner has 72 cluster members representing the Medium cluster, Cluster_1 has 72 cluster group members as high cluster representations, and Cluster_2 has 3 cluster members corresponding to low representation.