Reviewerly/exHarmony huggingface dataset:
Tengku Luckman Sinar Steps In Working and Beneficial To The Academic World

This paper, entitled The Footsteps of Tengku Luckman Sinar, his Work and Contribution to the Academic World, aims to get to know Tengku Lukman Sinar (TLS), his work, especially in the field of history, and his usefulness in the academic world.The method used is descriptive qualitative through a historical approach consisting of steps, heuristics (collection of data relevant to the topic of study, both primary and secondary), verification (criticism of external and internal sources), interpretation and analysis, and writing (historiography).The results show that TLS was the son of Sultan Sulaiman Shariful Alamsyah, a Malay aristocrat from the Fifth Serdang Sultanate.He is known as a cultural figure because he was involved in typical Malay cultural activities.TLS believed that Malay is a broad entity covering the region of Indonesia, Malaysia, Singapore, Thailand, Philippines, Oceania, to New Zealand, and Madagascar.Malay civilization has values to frame ethnic groups in the archipelago in the form of a unity with different diversity, and if combined culturally has tremendous potential.TLS was a resource person in various scientific forums, both local, national, and international.In actualizing his thoughts, TLS wrote and published papers and books, especially in the sociocultural field, including the field of history.Various historical works have been published, both independently, by publishers, by the Provincial Government of North Sumatra, and Deli Serdang Regency.The existence of TLS provides a comprehensive, factual, and accurate picture of a figure or culturalist with special characteriustics, especially working in the field of history, from which academics can use as inspiration and reference in writing scientific works such as scientific articles, theses, dissertation, as well as a legacy that can be processed into a new vital force in the millennial era according to the present.
Literature Recommendation Algorithm Based on User Preference Model

With the passage of time, literary works are becoming richer and richer in both quantity and variety, and are loved by readers. With the development of network communication technology and the continuous expansion of Internet information resources, information overload is becoming more and more serious. In the era of personalized network, resource service platform is required to actively analyze user behavior, discover user interests and preferences, and find information resources that meet their individual needs for users. In order to solve the problem of increasing number and category of literary works, the recommendation algorithm came into being. In the process of recommendation, finding the similarity between users is the key to accurate recommendation, so user preference modeling is particularly important. It is of great significance to study the modeling method of network users' preferences and the recommendation algorithm based on preference model for better providing information services for users. With the rise of social network research, many researchers combine social network with personalized recommendation to solve the problems of data sparsity, “cold start”, model scalability and robustness in traditional recommendation, which effectively improves the scalability and accuracy of recommendation. At present, there are many kinds of personalized recommendation technologies, among which content-based personalized recommendation technology and collaborative filtering recommendation technology are two common technologies. These algorithms are introduced and used by various websites to make targeted recommendations according to the characteristics of readers and books. This effect is far better than the previous pure search algorithms. This paper proposes a literature recommendation algorithm based on user preference model. This algorithm includes: Collaborative Filtering Recommendation Algorithm and memory based collaborative filtering recommendation algorithm. Then recommend books in the divided community.
Time-frequency Analysis and Convolutional Neural Network based Radio Frequency Fingerprinting Identification

Radio frequency fingerprinting (RFF) identification, which is a physical layer based distinct native feature, can offer a trustworthy device identity authentication for device access, especially for the power and computing limited asym-metric loT settings scenario. However, constructing the best RFF features satisfying the high authentication is a challenge with the rapid development of integrated circuits. In this paper, we propose a novel approach where RFF features are learned from blind features via the time-frequency analysis- based convolutional neural network. Specifically, in order to overcome the complexity of manually selecting RFF features, we combine a time-frequency image with rich RFF information via time-frequency transform and convolution neural network to automatically extract RFF features algorithms. Finally, the effectiveness of the algorithm is verified by experiments and simulation analysis.
Impact Of Ai On The Banking Industry 4.0

Moving forward in the fourth-generation industry, which is known as Industry 4.0 or the Fourth Industrial revolution, defined as merger of advanced manufacturing techniques with the Internet of Things to create manufacturing systems that communicate, analyze, and use information to stay inter connected so that give back intelligent action to the physical world. Artificial intelligence is the substitute of human intelligence processes by machines, especially computer systems, it is also known as machine learning, which focuses on creating and managing that type of technology that help in independently making decisions and do actions on behalf of a human being. It is changing the way we live, interactions with clients and companies, which also changes existing business methods and financial services. This study focuses on reviewing banks in a fourth industrial revolution, this paper has qualitative approach from the references, we will confer how Artificial Intelligence is used in the banking sector, the benefits and the Challenges faced by banking industry. Development of Artificial Intelligence has different ways in which it can improve the operations of a banking industry and safeguard customers with priority section.
Scientific research work of students in the specialist education training system: regulation and legal regulation

The article presents the results of a study of the problem of regulatory and legal support of students᾽ research work in the process of studying at a higher education institution. Positives and gaps in the current legislation are highlighted. It is noted that there is a legal conflict in the normative acts of Ukraine. The legislation of Ukraine does not classify students as subjects of scientific activity. At the same time, at the level of by-laws and internal acts of the Higher Education Institution, student research is separately provided for as a separate type of their scientific activity, and students themselves are defined as the subjects of such activity. As a result of the study, a number of practical recommendations were formulated. The Law of Ukraine «On Scientific and Scientific-Technical Activities» should provide for the subjectivity of students as participants in scientific research activities, primarily at the level of higher education institutions. In the Law of Ukraine «On Higher Education»: clearly provide for the implementation of the principle of integration of educational, scientific and educational work at all stages and levels of the educational process; to expand the status of students to subjects of scientific activity within the framework of the National Academy of Higher Education with the corresponding rights and obligations; to provide a detailed list of forms and mechanisms of student involvement in the NDR of higher education both during the educational process (as a mandatory type of activity) within the framework of the implementation of the curriculum, and in extracurricular time (on a voluntary basis). In the «Regulations on the Organization of Scientific, Scientific and Technical Activities in Higher Educational Institutions of III and IV Levels of Accreditation», the Ministry of Education and Culture of Ukraine defines the department as the main structural-organizational and executive unit for the conduct of student development in the structure of higher education institutions with the corresponding rights and responsibilities. It is proposed to expand the existing normative and organizational system of encouraging students and their academic supervisors from among the teaching staff (including material ones) for the implementation of scientific research works at the expense of state and non-state funds, the possibilities of grant programs, to provide for an increase in the weight of the indicators of the student᾽s NDR when conducting scientific attestation of ZVO.
Design and Implementation of Company Profile Website for Fashion Brand

In this digital era, it is obligatory for business people to understand the importance of a company profile website for companies. Especially for fashion brands such as Parker Bamboo Studio, that uses bamboo fiber as a material for each of its clothing products. The most unique product from Parker Bamboo Studio is shoes made of bamboo fiber, because these shoes are made of knitted bamboo fiber which has natural anti-bacterial benefits that can kill germs and bacteria so that it has anti-odor properties. This shoe is also claimed to be the first bamboo fiber shoe in Indonesia. Although clothing products made from bamboo fiber are unique and have many benefits. In fact Parker Bamboo Studio and clothing products made from bamboo fiber are still not widely known to the public due to the lack of information available about Parker Bamboo Studio and products made from bamboo fiber. From the problems found, it is necessary to design a media to inform about the profile of Parker Bamboo Studio and products made from bamboo fiber. The goal is to be better known by the wider community regarding the company profile in an attractive visual form. In addition, it can also add insight into the process of making products from bamboo fiber that can be accessed easily
IMPACT OF INSTITUTIONAL QUALITY AND TECHNOLOGICAL PROGRESS ON COUNTRIES ECONOMIC DEVELOPMENT

During the last year economics literature has increasingly referred to institutions as the answers to the longstanding questions concerning how economic growth arises, what policies can be used to promote the best results in terms of economic performance and what accounts for differences in GDP levels among countries so that the analysis of the institutional framework under which any economy operates has now become an indispensable object of research. In a globalizing world economy, the cause of differences in economic growth and income inequality is explained on the basis of technological differences. The use of new technologies paves the way for the production of new cheaper goods, capital accumulation, and, in this case, increased international competitiveness of individual countries. On the one hand, this improves the quality of research institutions and, on the other, contributes to the cultural and political development of societies. Therefore, the quality of growth rates is as important as their size. This study aims to demonstrate that businesses and individuals need to use technology more efficiently, leading to cost savings and productivity gains. The main research methods used in this study are content analysis, analysis and synthesis method, intuitive and systematic approach.
STAGES AND METHODS OF DEVELOPING DESIGN-GRAPHICS OF MOBILE GAME APPLICATIONS

The work is devoted to the peculiarities of developing graphics for game applications. The article considers the historiography of the problem, analyzes the design process and types of games by genre, features of different graphic styles. Based on the research, the idea of a new game application using elements of Ukrainian mythology was proposed, requirements for its main functionality and appearance were formed, the concept of a mobile game application, its target audience was determined, the main characters, screens, playing field, background, screensavers were designed and other elements of the game.
Financial Analysis of Photovoltaic Energy Listed Companies Based on Factor Analysis

In recent years, some photovoltaic enterprises expanded crazily, leading to serious overcapacity.Scientific and reasonable financial analysis and evaluation can provide reasonable and effective suggestions to stakeholders of listed PV Energy Enterprises.Therefore, this paper adopts the method of factor analysis to analyze and evaluate the profitability, development ability, operation ability and debt-paying ability of the listed companies in the photovoltaic energy industry, in order to reflect the photovoltaic energy industry listed companies operating and management status and provide reference with investors and other stakeholders.
Relationship among Work Values, Job Satisfaction and Work Engagement of Primary and Secondary School Teachers by SPSS 24.0

In the information age, the pressure of information technology will bring more anxiety and frustration, and even lead to teachers' work burnout and inhibit their work engagement.Objective/Significance: To explore the relationship between primary and secondary school teachers' work engagement, work values and job satisfaction, so as to better guide primary and secondary school teachers to actively engage in work and promote the development of basic education.Process/Method: 262 primary and secondary school teachers in northern Guangdong were investigated by using the work engagement Scale, Work Values Scale and Job Satisfaction Scale.SPSS was used to conduct descriptive statistics, t test, F test, correlation analysis and regression analysis of the results.Results/Conclusions: The work engagement of primary and secondary school teachers was generally at an above average level, and the average scores of each dimension were dedication, concentration and vitality from high to low.There are significant differences among primary and secondary school teachers in vitality, dedication and work engagement.There are significant differences among primary and secondary school teachers in the total scores of dedication, concentration and work engagement.There are significant differences in the total score of vitality and work engagement.There is a significant positive correlation between teachers' work engagement, work values and job satisfaction.Job satisfaction plays a partial mediating role between work value and work engagement.
Design and Implementation of Government Affairs Management System Oriented to Grassroots Community

With the deepening of informatization and intelligence across society, the construction of smart communities has boomed.However, the construction progress differs from place to place, and the outcome is also not quite satisfying.To promote the development of the smart community, we designed and implemented a grassroots community intelligent service platform.The system is designed to meet the needs of community governance, providing information management, population monitor, and grid management, etc.We also addressed some technical issues such as security, cache, and interface.The grassroots community intelligent service platform not only provides a convenient way to manage community affairs, but also helps reduce the workload of community workers and improve the governance effectiveness.We hope this work could make a positive effect on the development of smart communities.
Customized toolbox in VR Design

Designing in an environment of Virtual Reality is a field that gains ground. Although more and more applications are constantly released, the majority of designers have not yet been introduced into Virtual Reality. A widely used tool for designing is Rhino which has been released by McNeel and Rhino Developer encourages the users to create plug-ins for custom use of the software. In parallel, Meta's developing tools offer their users the chance to customize their own applications. Towards the direction of Virtual Reality integration, both have already released new products for their users. RhinoVR is an open source plug-in for Rhino, while at the same time Meta provides Oculus hardware and platform solutions for users to turn their concept into reality. What is yet to be developed is a model that encourages the customization of a VR design platform, focusing mainly on developing a personalized toolbox for designing.
COVID-Vis: Visualizing knowledge exchange on scientific software development in the COVID-19 era

As the world is still recovering from the detrimental effects of the COVID-19 pandemic, one key aspect of the pandemic era were the global efforts for containment, case tracking and several other factors. While the scientific and governmental initiatives were largely successful and effective, a notable surge was observed in contributions from individuals and programming communities that developed their own software for COVID-19 by using data retrieval and analysis along with visualization methodologies. To achieve their goals, they turned their attention to knowledge exchange portals and asked questions regarding technological queries. In this paper, we present a collective platform that retrieves such questions from a well-known Q&A portal and visualizes the contained information. This platform serves as a useful tool for assessing programming and technological interest in COVID-19 related software development efforts while also promoting the open science principles.
Towards Perso-Arabic Urdu Language Hate Detection Using Machine Learning: A Comparative Study Based on a Large Dataset and Time-Complexity

Social media users are growing daily, with hundreds of millions of active users per month on certain networking sites. For any administrative institution, the manual method for regulating user content is challenging. There are hundreds of languages through which you can direct your attention on the web. The Urdu language is among the most widely utilized languages in the world. We have proposed a quick way of detecting the content of Urdu language hate using machine learning models. We used the open data set and manually created instances to make this investigation viable on a balanced data set. Our experimental set-up has demonstrated that support vector machine in the detection of Urdu hatred detection is 81.87% accurate. The training time, testing time, and accuracy helped us select the best model for Urdu hate detection on social media sites. We also compared the training and testing times of various methods. Additionally, we demonstrated k and stratified folding via indexing to provide a better understanding of folding in machine learning. Finally, we compared our findings to those of previously published works in the field of Urdu hate detection.
How Do Innovation and Technology Trade Affect Economic Growth Performance in Indonesia?

Economic growth is an increase in the output of each sector in a certain year. Innovation can provide carrying capacity for productivity, efficiency and performance effectiveness in each sector. In an effort to increase output, research and innovation are needed. This study empirically estimates the impact of technological innovation and trade on economic growth. The method used is a quantitative method using Autoregressive Distributed Lag (ARDL) for long-term analysis and Error Correction Model (ECM) for short-term analysis. By using time series data, it is empirically found that in the long-term analysis, the innovation stated in the number of patents will have a significant positive effect on economic growth when technology imports occur. Meanwhile, innovation will have a &nbsp;significantly negative effect in grant financing in the event of an increase in technology trade. This indicates that reducing grants by increasing the quality of research through the efficiency of grants will promote economic growth. On the other hand, in the short-term analysis, innovation has no effect on economic growth, whereas only ICT Export technology can support economic growth. In another empirical analysis it was found that institutions and population growth had no effect on economic growth in terms of innovation and technology. So the government is expected to increase technology transfer abroad for domestic research purposes and increase demand for technology exports to become an incentive for the more effective and efficient use of grant funds.
Analysis of Top Management Support on the Quality of Accounting Information System and the Impact on the Quality of Accounting Information

Top management support in the accounting information system is one of the factors influencing the quality of the accounting information system. Top management involvement is essential to the success of an organization's accounting information system. The fundamental role of accounting information systems in an organization is to produce quality accounting information. A quality accounting information system is able to get value to the organization by providing accurate and timely information. Quality information is useful to assist information users in making useful decisions.The purpose of this study was to determine the relationship between top management support on the quality of the accounting information system and its impact on the quality of accounting information at BUMN Majalengka Regency. The method used in this is descriptive verification with a quantitative approach. Test analysis using Path Analysis using SPSS v25 software. The results of this study indicate that top management support has a significant influence on the quality of accounting information systems and the quality of accounting information systems affects the quality of accounting information.
ZERO-KNOWLEDGE PROOF AND ARTIFICIAL INTELLIGENCE IN EDUCATION

The article is devoted to technologies of digitalization of educationzero-knowledge proof, blockchain and artificial intelligence.It analyzes the features of these technologies and lists possible uses in terms of the public good.
In Memory of Vera Nikolaevna Anoshkina (Kasatkina)

This obituary is dedicated to the talented scientist, researcher of Russian classical literature and experienced teacher Vera Nikolaevna Anoshkina (1929–2023). The authors of the obituary list brief information about the life and academic work of V. N. Anoshkina, talk about the place of her work, her friendship with colleagues from IWL RAS, and their joint activities. The presented text indicates circle of Anoshkina’s scientific interests, especially her increased interest in the axiological sphere of Russian classics, and reports about her pedagogical talent, inexhaustible strength and thirst for an active life. The obituary is accompanied by an excerpt from Anoshkina’s book about the life and work of V. A. Zhukovsky.
Research on the Price Prediction of Bitcoin and Gold Based on Random Forest Model

In recent years, machine learning has achieved good results in the field of asset prices.Compared with traditional data analysis and technical analysis, using machine learning methods can show unique advantages in various aspects.In this paper, we combine the correlation between bull and bear markets and bitcoin and gold prices in the market, and apply a random forest model to predict them.The results of the study show that the random forest has high explanations and the accuracy of the model predictions are above 0.9, indicating that the model is a good fit for bitcoin and gold price predictions; bitcoin price is volatile and not suitable as a long-term investment, and it is suitable for gold at the beginning of each year.