Reviewerly/exHarmony huggingface dataset:
READING AND ELABORATING LITERARY WORK IN BUILDING GOOD CHARACTERS

Certain disciplines such as civic education and religious education are thought to be able to develop human capital in accordance with character building, while other disciplines - among others English language education- could not be able to fulfill the needs to promote it. In this study, the researcher aims to find out whether or not English language education can help building good characters. In seeking for the answer, as many as one hundred participants from a university were given activities to read and elaborate literary works as one of the efforts that language teachers may do in building good characters from their classes. The method used in this research is descriptive method by collecting, processing, analyzing, interpreting, and concluding data. The data were gathered based on the theory guiding of the reader response, known as The Reader’s Response Strategy, and a questionnaire from six pillars of the establishment of the character, as well as collected through interview.
iKarate: Karate Kata Aiding System

Karate is a martial art that can be performed using hands and feet to deliver and block strikes. Karate Kata moves must be executed in a unique way, many moves are performed incorrectly during training. In this paper, we offer a system that Karate performers, coaches, judges and sporting clubs could use. The system aids the Karate performers by capturing their moves using Kinect v2 sensor, pre-processing these moves and then analyzing these moves using F-DTW. A report is displayed to the performers that is easily understandable, to learn how the mistakes were made, and how to fix it/learn from them. F-DTW was used for proving the concept, and an average accuracy of 93.65% was achieved. This Paper is mainly concerned about the first Karate Kata (Heian Shodan).
Visual Inspection and Batting Decision of Table Tennis Robot

The table tennis robot is a hand-eye system that combines a visual system, a mechanical system, and a control system.The visual system is equivalent to the human brain and eyes.The visual system predicts the flight trajectory of table tennis and calculates the hitting point and hitting ball.When the time comes, the hitter can return the ball effectively.This article mainly studies the visual detection and decision-making of table tennis robots.This article introduces the method of dual target calibration, calculates the relationship between the internal parameters of the camera and the camera, and uses the calibration results to calculate the three-dimensional coordinate information of the table tennis.By comparing the existing target tracking image processing algorithms, and according to the flight characteristics of table tennis, research and formulate a set of fast real-time image processing algorithms.Through the force analysis of the table tennis in flight, the parameter model of the table tennis flight trajectory is established, and the experimental analysis of the landing point and the hitting point predicted by the flight model is carried out.In the online decision-making process, the multi-initial value quasi-Newton method is used to maximize the hitting evaluation function to solve the optimal hitting trajectory.The experimental results in this paper show that the average error of the return point of the table tennis robot in these 10 experiments is 13.4cm; the average value of the return point of the robot in 10 shots is [-2.5cm,78.8cm], and the variance is [5.3cm, 13.4cm];The average value of the person's return point is [-3.1cm,13.9cm], and the variance is [11.6cm,22.9cm].The experimental results of this paper show that the return accuracy of table tennis robots is better than those who have little experience in hitting the ball; table tennis robots can adapt to changes in the state of the incoming ball and complete the fixed-point return task with higher accuracy and success rate. Introduction
LARGE MARGIN UNIFIED MACHINES WITH NON-I.I.D. PROCESS

In this paper, we investigate the convergence theory of large margin unified machines (LUMs) in a non-i.i.d. sampling. We decompose the total error into sample error, regularization error and drift error. The appearance of drift error is caused by the non-identical sampling. Independent blocks sequences are constructed to transform the analysis of the dependent sample sequences into the analysis of independent blocks sequences under some mixing conditions. We also require the assumption of polynomial convergence of the marginal distributions to deal with the non-identical sampling. A novel projection operator is introduced to overcome the technical difficulty caused by the unbounded target function. The learning rates are explicitly derived under some mild conditions on approximation and capacity of the reproducing kernel Hilbert space.
Statistical Significance in NLP

In previous chapters we presented the concept of statistical significance and discussed significance test families—parametric and nonparametric—as well as the properties of the actual significance tests. We now wish to continue exploring these notions in view of the NLP domain. We begin by diving into the world of NLP, presenting various tasks and their corresponding evaluation measures. We then provide a simple decision tree that helps guide the choice of which statistical test type should be chosen for the different cases. After that, we provide a table that conveniently matches the aforementioned NLP tasks and measures with their suitable statistical significance tests. Last, we shortly discuss a recent practical issue that many researchers encounter when wanting to apply the statistical significance testing framework with big testsets.
Introduction

Linked data provides the basis for knowledge to be distributed, networked, and shared. The term Linked Data (LD) refers to a set of best practices for publishing and interlinking structured data on the Web. Creating a connection between data and its contexts could lead to the development of intelligent search engines which could explore the Web, moving from a keyword-based approach to a meaning-based approach. Researches can be more accurate by exploiting the relations between words. LD can provide a benefit in several research areas like in the medical field for structuring the connections between various illnesses and the relative cures, in the scientific literature for structuring the citations between the million of documents published online. The potentialities of exploitation of LD are countless.
The metaphor of border and the heuristics of borderline experiences and their significance for pedagogical thought and activity

The main thesis of this text is expressed in the statement that man is a “borderline being” – who lives within specific boundaries, and his adaptation and development are based on the dialectics of the borderline experience of various specific worlds and their regularities. A metaphor as such always possesses a certain “epistemological surplus” in the layer of its meanings, which may reveal the nature and specificity of that which is complex or ambiguous in its forms of existence. Therefore, the metaphor of border should be considered one of the most important clues in an attempt to bring human existence closer together. A border is something that separates, closes or opens a specific horizon of human experience. In this sense, reaching a border means approaching a particular end - where something can no longer have a simple continuation. Therefore, the objective existence of certain borders and their subjective impression give people an identity or induce them to commit acts of transgression (both constructive and destructive) that constitute an element of their ontological allocation in the surrounding material and natural, and socio-cultural worlds around them. Preserving or transcending specific borders is always experienced by man as something that brings both possibilities and threats to pedagogical impact and related human development.
Virtual Campus Tour

This studys main goal is to scientifically assess whether students react favourably to the virtual campus tour. A website and virtual reality were both used in the creation of this application. Users can traverse this virtual tour while hearing narration and background noise. Additionally, readers can read summaries of each Faculty department. Each panorama has a hotspot that enables viewers to continue their local exploration. To create 3600 effects, all photographs are blended using the 3D Vista Virtual Tour software. Usability tests are carried out to get the users response to the virtual campus tour, to improve the prototype, and to measure the level of user convenience and satisfaction. Measurement of student responses is done using questionnaires and interviews. 71 responders received a questionnaire about student responses. The virtual campus tour was well welcomed, and all of the respondents believed that it may draw users to help market the university.
An Analysis of the Trends of Educational Policy Research Applying New Institutionalism

Objectives This study examined the educational policy research based on the theory of new institutionalism and analyzed the trend of educational policy research applying the new institutionalism perspective from 2013 to 2021 to provide the direction of future educational policy research. Methods For this purpose, 58 studies using the new institutionalism perspective were selected as the subjects of analysis through three stages of literature research method and the trends were analyzed by opening related research materials. In the first stage, the analysis criteria were selected by examining the preceding studies related to the trend of education policy research applying new institutionalism. In the second stage, the related papers were investigated with the keywords ‘new institutionalism’ and ‘education’, and then the educational policy research materials were classified according to the analysis criteria. In the third stage, each research was analyzed according to the analysis area and standards. Results As a result of the study, educational policy research applying the theory and concept of new institutionalism has been actively conducted so far, and there have been many studies using integrated analysis frameworks emphasizing interest in institutional change and the role of actors. In terms of research topics, 58 papers from 2013 to 2021 were conducted evenly in the whole of educational policy studies based on new institutionalism. In terms of research methods, educational policy research has been conducted mainly on literature research, and qualitative research has gradually increased since 2013, but the proportion of quantitative research and mixed research has been relatively low. Conclusions The new institutionalism theory can be a useful approach to analyze educational policy, and it can increase the explanation power of the theory if it is applied to the education policy research after highlighting the issues of the analysis theory by grasping the issues and limitations of the theory.&#x0D;
미국의 사이버 경찰활동과 사이버범죄 기회차단의 연결 : Maguire의 경찰조직구조이론의 적용

Little empirical research exists regarding the relationship between law enforcement organizational characteristics and cybercrime response. The purpose of this research is to use Maguire’s theory of police organizational structure to investigate whether specialized cybercrime police units are related to higher numbers of cybercrime arrests in the United States. Data from this study was derived from multiple years of the Law Enforcement Management and Statistics (LEMAS) survey (2000, 2007, and 2013). The results suggest that states with greater use of cybercrime specialized units are more likely to efficiently address cybercrime offenses. In contrast, the findings indicate that there is no relationship between the unemployment rate and cybercrime offenses. Lastly, the practical and theoretical implications of these results are discussed, as well as the limitations of this research and promising future research directions.
Features of the Formation of Reflective Competence in the Process of Professional Training of a Social Worker

The article considers the professional development of a social worker as a continuous process of improving professionally significant qualities under the influence of social influences, professional activity and own activity. For the successful implementation of this activity you need to constantly monitor personal growth, to reflect on the results of their own professional activities. The established reflexive competence of a social worker is one of the key factors in his personal and professional development and contributes to the effective development of all other types of competence, so its development plays a crucial role in the educational process of training. Motivational, cognitive, procedural and creative components are distinguished in the analysis of approaches to the idea of the structure of reflexive competence. Considering the role of professional reflection in the activities of a specialist in social work, three levels of the model of existence of a specialist in the profession are identified. To ensure the formation of the reflective component of the social specialist, it is necessary to implement a system of specially organized training, built on the psychological mechanisms of personality development and activity: inclusion in the OP of disciplines (special course, elective) active use of forms of organization of reflexive-search, reflexive-research, reflexive-game, reflexive-discussion activity; reflexive-creative, reflexive-dialogue, dialogue-motivating teaching methods, etc.
Professional Training of a Teacher Assistant to Work in an Inclusive Education

The article is devoted to the problem of professional training of future teacher assistants to work in an inclusive education. We have established the role of the professional activity of a teacher's assistant in the conditions of inclusive education. An analysis of scientific views on determining the phenomenon of readiness of a teacher's assistant for professional activities, and the impact of an inclusive educational environment on the learning process of children with special educational needs. It was found that the formation of readiness for professional activity is evidenced by the following signs: a positive attitude to teaching; professional and pedagogical orientation of the individual; availability of psychological and pedagogical abilities; system of psychological and pedagogical knowledge, skills and abilities; moral personality traits; independence and creativity in solving professional problems. In the article we noted that the future teacher, who carries out his own professional activity in an inclusive education, plays an important role, because he must not only carry out a high level of educational process, form a child with special educational needs a set of necessary competencies, but also provide assistance in social adaptation, establishing contacts with the outside world, people around. The essence of the concept and the structure of the teacher's assistant's readiness for professional activity in the conditions of inclusive education are determined. It is noted that the professional training of the future assistant teacher of work with children with special needs is an extremely important issue in today's conditions. The essence of the concept and the structure of teachers' readiness for professional activity in the conditions of inclusion are determined. It is proved that the combination of professional pedagogical socio-civic, general cultural, language-communicative, psychological-facilitative, entrepreneurial and information-digital competence allows to carry out high-level pedagogical activity in the field of inclusive education and self-awareness in the profession.
Main Directions of the Research of Information and Digital Competence Formation of Primary School Pupils

The paper reveals three main areas of the research of information and digital competence formation of primary school pupils. The first direction is related to cyber socialization, the role and place of information and digital technologies in the life and education of a modern primary school pupil, and the formation of information and digital competence. The second direction is represented by the psychological aspect of a primary school pupil's life on the Internet, the impact of digitalization of social practice on the development of the personality of a pupil. The third direction is devoted to the problem of safe behavior of children on the Internet, in particular, risk in the online environment and cyber addiction. In the result of theoretical analysis of scientific research, it is revealed that exactly social and pedagogical communication in this direction will most effectively contribute to obtaining personal results: readiness and ability to self-develop, the ability to correlate their actions with accepted ethical principles, the ability to interact, the skills of adequate assessment of moral characteristics when working with information, in particular on the Internet. Socio-pedagogical communication in the school information environment is a certain propaedeutic of social activity of students in situations of cyber socialization.
Generating of Fuzzy Rule Bases with Gaussian Parameters Optimized via Fuzzy C-Mean and Ordinary Least Square

The fuzzy rule bases has a central role in the fuzzy inference system. Generating of rule bases based on input-output data pairs by using Fuzzy C-Mean clustering (FCM) requires parameters setting of the membership function (mf). In the Gaussian mf, the mean and spread parameters must be determined. The outputs of FCM clustering include the cluster center and the partition matrix of each object. The value of cluster center can be used as the center parameter, but the spread parameter is usually determined as a constant value. The research proposes a method to determine spread parameter of Gaussian mf by using Ordinary Least Square (OLS) approach with using the partition matrix as the membership degree of each object in the cluster. The magnitude of cluster centers (n) of 3, 5, and 7 are considered as FCM input to cluster the weekly price of soybeans in East Java, Indonesia on the period of January 2014 to December 2017. Based on each cluster center, the optimal spread value of a Gaussian mf is obtained via OLS. This research succeeded in getting a spread values that could approach almost perfectly each element of the partition matrix.
Identidade Digital Descentralizada: Conceitos, aplicações, iniciativas, plataforma de desenvolvimento e implementação de caso de uso

The Brazilian Symposium on Information and Computational Systems Security (SBSeg) is the country’s main forum for disseminating research results and relevant activities related to information, data protocols, and computational systems security. In this edition (2019), 13 short-course proposals were submitted, a significant number that demonstrates the relevance and the community interest in current subjects of the area. Four proposals were selected for publication and presentation, an acceptance rate of 30%. This book comprises the four chapters produced by the authors of the accepted short-course proposals. Chapter 1 addresses one of the main challenges for information security today: creating and maintaining a reliable digital identity for each user. With the advent of blockchains, new possibilities for assigning and controlling digital identities have emerged and this chapter presents to readers a theoretical discussion and practical activities on creation and managing decentralized identifiers, as well as authentication and revocation of credentials. Chapter 2 shows how the security area can benefit from the enormous advances made recently in data science and machine learning fields. The goal is to be able to discover security-relevant information that may be hidden in a large amount of non-suspicious data produced by security tools and operating systems. Key concepts in the field will be discussed and several practical examples will be demonstrated using free tools. Chapter 3 discusses blockchains in depth, as this tool is becoming increasingly used in several areas, including security. Among the various technologies adopted in blockchains, this chapter emphasizes the consensus mechanism, one of the main actors in the performance and security of the chain. The consensus mechanisms most used today require a great deal of computational power to operate satisfactorily and provide an acceptable level of security. In this context, the main types of blockchain and their consensus mechanisms will be presented and discussed, as well as experiments that illustrate in practice different aspects of security in current implementations. Concluding this book, Chapter 4 focuses on another face of security that has drawn a lot of attention from society: malicious applications that, after infecting a device, seek to hide in a variety of ways in order to escape detection by security mechanisms and forensic techniques, even when they are running. This chapter shows the application of reverse engineering techniques for analyzing malicious applications in the Linux environment, which are exemplified both in kernel and user modes based on their dynamic execution trace and in code debugging techniques.
Valid Keypoint Augmentation based Occluded Person Re-Identification

Occluded person re-identification is a challenging task which aims to search for or distinguish the specific person as human body is occluded by obstacles or other persons or by oneself. Some recent State of the art works which adopt transformer and/or pose-guided methods improve the feature representation and performances, but there is a room to enhance them in both representation and heavy structure. In this paper, we suggest to efficiently improve the transformer-based Re-ID method for the occluded person as follows. First, in data augmentation to improve Re-identification performance, instead of deleting an arbitrary area, only the part containing the keypoint feature of a person is deleted for effective learning in occlusion. Second, a consistency loss between global and local features of a body part is proposed for improving the discrimination to recognize the identical person. We compare the mAP and Rank-1 performances of our approach and various existing methods on the Occluded-Duke dataset. Experimental results show that our proposed model outperforms the competitive methods.
AI innovations, empathy and the law

Legal communication and precontractual communication depend on a mutual understanding and acceptance by the participants. This chapter focuses on the role of empathy in the context of the regulation of artificial intelligence (AI) innovations, with a particular focus on intellectual property law and privacy laws. Interactions in law between human beings as well as between enterprises such as organisations and governments govern the realities and situations within society. The chapter addresses the challenge by analysing selected situations that are particularly relevant in the context of businesses and organisations. It presents the possible role of empathy in the context of AI developments to position the current discussions related to embedding empathy in AI technology. The chapter proposes how empathy could be better embedded in the regulation of both AI-generated works through copyright and the regulation of situations that are relevant to privacy laws.