Reviewerly/exHarmony huggingface dataset:
The Principal's Persistence to Confucianism under the spread of Western learning in the Late Qing Dynasty: A Case Study of Yu Yue's Activities in the GuJing Academy

In the late Qing Dynasty, under the changing circumstances of Western powers invading China, Western Learning were introduced into local education in order to save and strengthen the country. The introduction of Western learning not only updated the educational content, but also squeezed the living space of traditional Confucianism. Facing the assault of Western learning , Yuyue, the principal of the GuJing Academy, tried to break the predicament of Confucianism in development and inheritance through the academy. Before 1894, when the value of Confucianism in governing the country was still recognized, Yu Yue hoped to compete with Western learning for the territory of dissemination by revitalizing the practical functions of Confucianism in the academy. After 1894, When the Westernization Movement failed and the effect of Confucianism in saving the destiny of the country is basically denied, Yu Yue sought to retain the academy as a base for the continuation of Confucianism. Yu Yue’s behavior shows at the time of the collapse of the traditional political civilization order with “civilization throug h humanities” as the main social g overnance method, the principal g roup that had the dual responsibility of “defending the doctrine” and “spreading the doctrine”, explored and considered the future of Chinese national culture.&#x0D; &#x0D; 청대 말기, 열강의 중국 침략이라는 위기의 국면 속에서 구국(救國) 자강(自 強)이라는 시대적 요청에 힘입어, 서양의 과학 기술과 문화 지식이 중국 교육에 편입되었다. 서학 도입은 청대 말기 교육 내용에 혁신을 일으킨 것과 동시에, 전통 유학이 설 자리를 압박하게 되었다. 서학의 충돌에 대면하여, 고경정사(詁經精舍)의 산장 유월(俞樾)은 서원을 통해 유학의 발전 및 전승이 어려워진 상황을 타파하고자 하였다. 갑오(甲午) 이전, 유학의 통치술(治術)로서의 가치가 여전히 인정받고 있었던 때, 유월은 서원의 ‘치용(致用)’ 기능을 회복하여서학과의 투쟁을 도모하였다. 갑오 이후, 양무운동의 실패와 더불어 유학의‘구세(救世)’라는 기대 효과는 부정당하고 말았고, 이에 유월은 서원을 유학 보존의 장소로 삼고자 하였다. 유월의 활동은 “도를 보위하고(衛道)”, “도를 전한다(傳道)”라는 이중적 임무를 짊어지고 있었던 청대 말기 서원 산장들의 실태를 드러낸다. 과거 ‘인문화성(人文化成)’을 주요 사회 통치 방식으로 삼았던전통 정교(政敎) 질서가 붕괴하던 당시, 유월의 활동은 민족 문화의 앞길에 대한 탐색과 고민을 보여준다.
A Novel Approach for Speech to Text Recognition System Using Hidden Markov Model

Speech recognition is the application of sophisticated algorithms which involve the transforming of the human voice to text. Speech identification is essential as it utilizes by several biometric identification systems and voice-controlled automation systems. Variations in recording equipment, speakers, situations, and environments make speech recognition a tough undertaking. Three major phases comprise speech recognition: speech pre-processing, feature extraction, and speech categorization. This work presents a comprehensive study with the objectives of comprehending, analyzing, and enhancing these models and approaches, such as Hidden Markov Models and Artificial Neural Networks, employed in the voice recognition system for feature extraction and classification.
Global Engineer Training Program at National Institute of Technology (KOSEN), Nagano College

This paper describes the contents of a global engineer training program at National Institute of Technology (KOSEN), Nagano College. The contents include the details of classes, overseas training, campus globalization, and e-learning system. Each program is mindful of international exchanges during the COVID-19 pandemic and this paper shows their current outcomes.
Educational Role of the Student Cooperative

Student cooperatives were introduced into the educational system in 2018. However, they are not new. They functioned in the second half of the 20th century, mostly in vocational high schools, and then they gradually lost importance until they were completely shut down. Rapid technical and technological development and market laws, which make entrepreneurship imperative in the economic aspect of life, once again led to the need for student cooperatives. The student cooperative imposes itself as a unique, one could even say a universal form of student organization and work that contributes to the overall development of students. In accordance with the modern circumstances and challenges of the modern age, student cooperatives have become somewhat modernized. They encounter difficulties, but they successfully adapt to social trends. In all these complex circumstances, student cooperatives have achieved their main goal, which is the educational impact on students, which is its priority role. The aim of this paper is to corroborate and, relying on theoretical foundations and legal provisions, to point out the great training and educational importance of student cooperatives, which again has the effect of increasing the quality of education.
Adoption of Cloud Enabling Cyber-Security Model in Organizations

Objectives: To carry out a systematic review on Cloud Computing (CC) security problems in order to suggest a cyber-security model for a secure CC environment.Methods: ResearchGate, PLOS One, MDPI, Wiley, Springer, Scopus, IEEE Xplore, IOP Conf.Series, and TechScience Press are used as sources in this research.Cloud security, risks to CC, issues with the current models, and the proposed model are among the significant keywords included in this article.Analysis and evaluation of the cloud computing security models have been conducted on the basis of factors like the technology used, authorization, security level, malicious insiders, VPN, encryption, etc. Findings: After doing comprehensive study of the previous models, it was analyzed that the client service provider's (CSP) are focusing on their own security but not of client's security.One problem is that there is no real set of standards to measure cloud security.Encryption key should be known to client only.Also, clients are not aware of security policies of CSPs.Furthermore, to overcome some issues certification programs should be there for CSPs so that clients are able to judge the CSPs according to their needs.Lastly, periodical awareness programs should be conducted for both CSP and client employees.Novelty: In this research a security model is proposed in which it is tried to implement solutions to various threats like hacking, unauthorized access of data, data encryption and authentication.It has proposed to develop a Cyber Security Model (CSM) for improvement of security features of cloud when it is used by organizations.In this study features like Single Sign-On for users to get proper authorization; key supervision is used for encryption of data and VPN controller is implemented to guard data from hackers have been added.
Aesthetic Challenge and Reflection of AI Art in Film and Television Works from the Perspective of “Face Changing Technology”

With the rapid development of artificial intelligence technology, great changes have taken place in human life and aesthetic concepts. The “face changing” technology in the film and television cultural industry, with accurate capture and real-time technology, provides a new thinking and new aesthetic existence for the development of the film and television industry. Based on the conceptual characteristics, historical context and AI face changing technology of AI, this paper discusses the transcendence of AI art over traditional film and television art in film and television works, discusses the innovation of AI to traditional film and television art, the expansion of human creativity, and the challenge of human development mechanism, and briefly analyzes the curve of horror Valley theory - it is a hypothesis about human feelings about robots and non-human objects. On this basis, it reflects on the hidden dangers behind the wider application of artificial intelligence, with a view to clarifying the direction of the next step.
The Regulation of Digital Advertising Under the Dsa: A Critical Assessment

This article critically assesses to what extent the Digital Services Act (DSA) protects consumers in relation to three important developments in digital advertising: (i) the rise of influencer marketing as a new form of native advertising (ii) the personalisation of advertising and (iii) hybrid ads as advertising solutions that find themselves at the intersection of influencer marketing and personalised advertising. We describe and analyze these developments to better understand whether and how they are governed by the DSA. While the DSA specifically left influencer marketing out of its material scope, new forms of advertising (i.e. on-platform influencer marketing, which we refer to as hybrid ads) challenge this choice, as we argue they do fall under the DSA, just as targeted advertising. The resulting regulatory choice of differentiating between advertising practices on social media is odd at best, since it does not take into account the characteristics of these practices or the essential role of social media platforms in other forms of advertising than targeted advertising. The paper critically reveals three main pitfalls related to the way in which the DSA tackles the selected digital advertising developments: coherence/fragmentation; little if any consumer benefits; and limited future-proofing.
Actual Condition Survey for Proposal of Cleaning Methods for Fabric Therapy Robots

I surveyed of the actual conditions of robot users' cleaning for their robots for proposing a cleaning method that can be continued daily. As a result, I confirmed that it is important for manufacturers to provide a cleaning method.
A Study on the Types of Perceptions of Education For Social Responsibility

The purpose of this study was to investigate the types of education for social responsibility. To achieve this a Q-methodological analysis was used to study people’s subjectivity in individual perceptions and beliefs. The Q-population was composed of 41 questions based on literature analysis, a pre-survey, and in-depth interviews. Q-samples were finally composed of 31 statements after expert reviewing. Thirty-four students majoring in education at P graduate school participated in this study. Q-sorting was performed for two weeks in October 2022, and the data were analyzed through the PQ Method 2.35 program. The analysis was based on the most positive and negative statements, and identification items. Education for social responsibility was classified into three types: Emphasis on concept understanding and field practice, Emphasis on state intervention and personal growth, and Emphasis on research and edaucator role. By examining the perception types of students who accept the concept of education for social responsibility, it will be possible to prepare action plans for including social responsibility in education.
Analysis of Chinese Perception of Global Anti-China Phenomenon Using SNA(Semantic Network Analysis): Text Mining Approach to Online Anti-Chinese Issues

The purpose of this study is to explore the Chinese perception of the global anti-China phenomenon after the COVID-19 pandemic. And we took a text mining analysis on the anti-China keyword news taken from the Chinese internet portal Baidu. As a result of the analysis, we found four major thematic groups, which have the following meanings. 1.The spread of the global anti-China phenomenon is due to media reports by anti-China forces centered on the United States. 2. The anti-China phenomenon was exacerbated by reports linking the COVID-19 pandemic with China's political and diplomatic conflicts and local events within China. 3. Western societies' tribalism and 'China threat’ theory are the causes of anti-China phenomenon 4. The global anti-China phenomenon is a threat to national security, and the solution is to educate the new generation on values.
The Effect of the Principal's Leadership Type on the Play Support Effectiveness of Early Childhood Teacher : Focused on the Mediating Effect of Early Childhood Teacher's Empowerment

This study attempted to investigate the mediating effect of early childhood teacher's empowerment in the effect of the principal's leadership type on the play support effectiveness of early childhood teachers. The subjects of this study included a total of 209 early childhood teachers. The collected data were frequency analysis, reliability analysis, descriptive statistical analysis, correlation analysis, and path analysis using SPSS 26.0 and AMOS 26.0 programs. As a major result, first, there was a significant positive correlation between the director's leadership, the empowerment of early childhood teachers, and the effectiveness of play support. Second, the director's directive leadership had a direct negative effect on early childhood teachers' sense of play support efficacy. Persuasive leadership had a direct effect on early childhood teachers' play support efficacy and an indirect effect through empowerment. Delegated leadership showed an indirect effect on early childhood teachers' sense of play support efficacy through the mediation of early childhood teachers' empowerment. In other words, the partial mediating effect of empowerment was shown in the effect of the director's persuasive leadership on the early childhood teacher's play support efficacy, and the full mediating effect of empowerment was shown in the effect of the delegated leadership on the early childhood teacher's play support efficacy. In conclusion, these results suggest that in order to increase the play support effectiveness of early childhood teachers, an approach effort is needed to understand that the role of early childhood teacher's empowerment varies for each type of leadership of the principal.
Digitalizing Infrastrucutre: Active Management for Smarter Networks

Infrastructure is affected by the digitalization process that is transforming the economy and human activities in general. Unfortunately, digitalization has become a buzzword or, even worse, an empty term, used by vendors to sell expensive equipment and services to make any infrastructure, or even whole cities, “smart.” This has created a lot of confusion and it is difficult to identify what the key elements in this transformation are, and the right decisions to be adopted by infrastructure managers to fully exploit the new technologies. The aim of this book is to identify the structural transformations in infrastructure management delivered by digital technologies. Beyond the buzzwords, digital technologies are transforming the way infrastructure is managed. The transformation is so deep that it is even affecting the structure of these industries, disrupting the role of traditional infrastructure managers.
Reinforcement Learning

Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science. All the necessary topics are covered, including supervised and unsupervised learning, neural networks, reinforcement learning, cloud-based services, and the ethical issues still posing problems within the industry. While Python is used as the primary language, many exercises will also have the solutions provided in R for greater versatility. A suite of online resources is available to support teaching across a range of different courses, including example syllabi, a solutions manual, and lecture slides. Datasets and code are also available online for students, giving them everything they need to practice the examples and problems in the book.
Teaching Computers to Write Programs

Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science. All the necessary topics are covered, including supervised and unsupervised learning, neural networks, reinforcement learning, cloud-based services, and the ethical issues still posing problems within the industry. While Python is used as the primary language, many exercises will also have the solutions provided in R for greater versatility. A suite of online resources is available to support teaching across a range of different courses, including example syllabi, a solutions manual, and lecture slides. Datasets and code are also available online for students, giving them everything they need to practice the examples and problems in the book.
Cloud Computing

Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science. All the necessary topics are covered, including supervised and unsupervised learning, neural networks, reinforcement learning, cloud-based services, and the ethical issues still posing problems within the industry. While Python is used as the primary language, many exercises will also have the solutions provided in R for greater versatility. A suite of online resources is available to support teaching across a range of different courses, including example syllabi, a solutions manual, and lecture slides. Datasets and code are also available online for students, giving them everything they need to practice the examples and problems in the book.
Neural Networks

Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science. All the necessary topics are covered, including supervised and unsupervised learning, neural networks, reinforcement learning, cloud-based services, and the ethical issues still posing problems within the industry. While Python is used as the primary language, many exercises will also have the solutions provided in R for greater versatility. A suite of online resources is available to support teaching across a range of different courses, including example syllabi, a solutions manual, and lecture slides. Datasets and code are also available online for students, giving them everything they need to practice the examples and problems in the book.
High-Order Correlation Embedding for Large-Scale Multi-modal Hashing

Benefitting from the superb storage and computational efficiency, hashing has received considerable research attention on large-scale multi-modal retrieval. However, most existing methods are mainly built based upon matrix optimization without high-order correlation and equally treat the training instances, which fail to fuse heterogeneous sources and ignore the heuristic information contained by the sampling order. To this end, we, for the first time, propose a novel tensor-based supervised discrete learning framework named Discrete Multi-modal Correlation Hashing (DMCH) to perform a high-order correlation preserved semantic hash learning. Specifically, DMCH stacks all the modality-private matrices into a third-order tensor to simultaneously exploit the high-order intrinsic correlations across heterogeneous sources, which explicitly enforces the consistent and private properties of different modalities. Moreover, DMCH selects the training samples from reliable to unreliable ones to extract heuristic information contained by the instance learning order, which increases the robustness of the model. Furthermore, the specific semantic labels are utilized as specific prior knowledge to preserve full-scale supervision instead of the widely-used pair-wise similarity. Finally, the jointly learning objective is formulated to concurrently preserve the modality-common information and modality-private semantics in the learned hash codes. Extensive experiments on four public datasets demonstrate the state-of-the-art performance of our proposed method.
ANALISIS KEMAMPUAN MENULIS CERPEN SISWA KELAS V SDN 7 MATARAM TAHUN AJARAN 2020/2021

This study aims to determine the ability to write short stories for fifth grade students of SDN 7 Mataram in the academic year 2020/2021 in terms of (1) completeness of formal aspects, (2) story elements such as themes, characters, setting and plot, (3) effective sentences, use of spelling, and coherence between paragraphs. The type of research used is descriptive qualitative research. The population in this study was the population in this study were all students of class VB at SDN 7 Mataram. The data sampling technique in this research is purposive sampling. While the data collection method used documentation analysis in the form of short stories by students. The instrument used in this research is the short story assessment rubric which has been validated by experts usingtechniques expert judgment. The data analysis used iscontent analysis because this study will analyze short stories (short stories) for fifth grade students at SDN 7 Mataram. The results of the students' short story analysis showed that in terms of the completeness of the formal aspects, the fifth grade students of SDN 7 Mataram obtained 38.75% results, and were included in the low category, in terms of story elements they were in the very good category because the average obtained was very good. which is 96.25%, in terms of effective sentences, it can be categorized as sufficient because the average value is 62.5%, in terms of spelling usage, which is 81.25%, it is in the good category, in terms of the aspect of inter-paragraph cohesiveness, it is categorized as very good because it is average. the average score is 91.25%. The results of the average value of 20 short stories by class V students of SDN 7 Mataram in terms of completeness of formal aspects, the existence of short stories elements, effective sentences, completeness of spelling, and coherence between paragraphs is 73.25%, it can be concluded that the ability to write short stories of class students V SDN 7 Mataram is in quite good category.
ZAŠTITA RAČUNARSKIH PODATAKA OD KOMPJUTERSKIH VIRUSA – KRIVIČNOPRAVNI ASPEKT –

Computer viruses are special programs designed to harm computers and large computer systems by changing the way they work. After defining the term computer virus, author in the paper will analyze the elements of the criminal offense of Creating and Introducing of Computer Viruses from Article 300 of the Criminal Code of the Republic of Serbia (Official Gazette of the Republic of Serbia, No. 85/2005...35/2019). In connection with this criminal offense, the issues of determining the place and time of execution, as well as the detection of perpetrators in cases when it was committed using publicly available computers and computer systems, are particularly interesting. Having in that mind the damage can occur with the use of computer viruses, the paper will present some practical cases, along with practical tips for protection against computer viruses. In a world full of digital threats, criminal law must create new incriminations and improve existing ones, in order to preserve the security of computer systems and data. This process is continuous and leads to a kind of “digitalization” of the criminal law.