Reviewerly/exHarmony huggingface dataset:
PSYCHOLOGICAL FEATURES OF FUTURE PSYCHOLOGISTS’ EMOTIONAL CULTURE DEVELOPMENT

In the context of theoretical analysis of the problem of emotional culture of future psychologists, the article defines emotional culture as a system of skills of the subject’s own emotional intelligence for emotional self-regulation, manifested in reflexive awareness of emotions (both own and others), recognition of their value and motivating force, as well as the purposeful use of emotions in various types of internal mental and external (subject and social) activities. In accordance with the purpose of our study, a new view on the problem of emotional culture was proposed in the structure of professional activity of future psychologists, its essence and constituent components were determined. Emotional competence of the future specialist was considered as a systemic, holistic and dynamic psychological education, an important personal and professional quality, a component of the professional activity of the specialist; which has its own structure, expresses a certain level of emotional maturity of the individual, is an important factor in professional development and provides effective professional interaction. The article shows that emotional culture, the structural components of which are cognitive, social, regulatory and empathic components, is a means of socialization and adaptation of the future specialist. Based on the model, a comprehensive program for the formation of emotional culture ofthe future psychologist in the process of professional training is developed and tested, the content of which is aimed at the development of components of emotional competence. An innovative approach in the context of program implementation is a combination of traditional psychocorrection technologies and immersive technologies. The results of the formative stage of the study of the effectiveness of this program are presented. The results of the study demonstrated the dynamics of changes in the development of emotional competencies of future professionals.
WORD ORDER IN ANGKOLA LANGUAGE: A STUDY OF SYNTACTIC TYPOLOGY

This study aims to discover what and how the typology of Angkola Language (AL) is in word order as well as to determine its grammatical alliance. The application of qualitative methods was carried out descriptively to this study, it means that the data analyzed and the results are in the form of a phenomenon description. The stages in this research are data collection, data analysis, and presentation of data analysis results/conclusions. The conclusion of this study is the word order, namely: (1) declarative sentences in AL are in the pattern of: a) Verb + Subject + Object for intransitive; b) Verb + Object + Subject for transitive; (2) The negation sentences have 2 patterns: a) Negation + Subject + Verb + Object; b) Subject + Negation + Verb + Object; (3) Interrogative sentences have 3 patterns: a) Subject + Verb + Object; b) Verb + Subject + Object; and c) Passive-Verb + Subject + Object; and (4) Imperative sentences have 2 patterns: a) Verb + Object (subject disappears); and b) Verb + Subject + Object (similar to a declarative sentence). In AL, the argument Agent (A) behaves the same as the argument Subject (S) and is different from the argument Patient (P); therefore, this language pattern is classified as an accusative type. It is expected that there will be a syntactic typology researches in AL which examine the syntactic typology comprehensively as an effort to preserve and maintain local/ethnic languages.
HUMOUR IN BARACK OBAMA'S SPEECH: A CONVERSATION ANALYSIS (CA)

Evaluation and critics are two essential aspects in assessing a perfect performance. Public speaking is a platform to convey critics as well as evaluations publicly. Critics and Evaluation is an embodiment of check and balance in a democratic nation. Barack Obama attends White House Association Correspondents Dinner annually as a sign of USA democracy establishment. This event is a mark of good relationship between government and mass media correspondents. This study finds critical and evaluative humorous utterances as Obama’s tactical strategy to deliver his critics and evaluation. This research is qualitative research that uses conversational analysis (CA) as the method. The data were transcribed by Jefferson transcription system (2020). It has an aim to examine implicature theory (Grice, 1975) further in humour. This study shows that pragmatical utterances, that is conveyed in humorous concept, need a construction of common understanding, named as common ground. Turn taking is seen from speaker’s speech and various responses of audiences such as laughter, applauses, or short verbal responses. These responses become essential part of discourse constructions in seizing its goal, to criticize and evaluate colleagues’ performance.
Virtual Reality Design in Reading User Experience: 3D Data Visualization with Interaction in Digital Publication Figures

With computer technology rapidly growing in recent years, there is a significant trend that virtual reality technologies turn into the public. The paper found that VR has a high potential to improve reading efficiency. The research discussed various figures, which is the key element for data visualization in digital publications. Furthermore, the research analyzes the characteristic of VR. The research divides the data into three types: Static Data, Dynamic Data, and Interactive Data. The research designs the framework to transfer the data into VR platforms. In order to evaluate the performance efficiency of the framework, we conducted performance evaluations and a user study with 20 participants. Compared with traditional 2D figures, the experimental results show that the 3D framework can be used as an effective visual tool for reading on VR platforms. The paper indicates the possible future view based on the design study.
COLLABORATIVE GAMING APPROACH IN ONLINE LEARNING TO IMPROVE STUDENTS’ ENGAGEMENT

Due to the COVID-19 pandemic, students in Indonesia were required to study from home for about the past two years. It affected learning activities that made students less engaged. This research offers the Online Collaborative Gaming Approach model to improve students’ engagement and participation in English learning. Inviting 58 students as research participants, the researchers reported the implementation of the Collaborative Gaming Approach and evaluation based on students’ perspectives. This study employed Classroom Action Research utilizing students’ scores, questionnaires and interviews, to measure the criteria of success. The result of the study showed that the average score in the quiz game activity inceased after the implementation of the quiz game (from 74,1 to 88,64). The result of the questionnaires also stated that 94.83% (55) students agreed that quiz game activities gave positive perceptions on the affective aspect, 91.38% (53) students agreed that quiz game activities gave positive perceptions on the social aspect, and 94.83% (55) students agreed that quiz game activities gave positive perceptions on the cognitive aspect. The result of the data showed that the collaborative gaming approach gives a positive impact on students. It implies that the practice of the collaborative gaming approach can increase the students’ engagement.
LOCAL WISDOM-BASED LITERARY LITERACY IN LANGUAGE AND LITERATURE LEARNING FOR SENIOR HIGH SCHOOL STUDENTS IN TERNATE: STRATEGIES AND OBSTACLES

Literary literacy needs to be cultivated to fight the impact of globalization which has made the local culture eroded and increasingly marginalized and has even begun to show symptoms of being forgotten. Thus, study on local wisdom-based literary literacy needs to be carried out to reveal the values contained in it through the literary literacy movement as reinforcement of language and literature learning. This study uses a qualitative method. The data sources are obtained from teachers, librarians, students, and related parties in school as well as learning plan documents arranged in the lesson plans and students’ learning outcomes. The data are collected through interviews, observation, and documentation. The results indicate that literacy activities in literary learning focus on reading, understanding, interpreting and responding to literary reading texts. The teachers integrate the values of local wisdom in all stages of literary learning carried out in three phases, namely initial activities, main activities and closing activities. This has positive impact on students not only in terms of academic but also non-academic.The obstacles encountered in its implementation are the low interest of students in reading, the lack of teachers’ understanding of North Maluku local wisdom, the lack of learning methods and varied learning media, and the lack of references to literary books containing local wisdom available in school library. The findings imply that literary literacy based on local wisdom applied by teachers in learning can develop students’ awareness of local cultures. However, it has not been able to improve the students’ literacy skills.
PROPOSITION-BASED EVALUATION OF MACHINE-TRANSLATED ACADEMIC TEXT

This study aims to describe the rendition of propositional meaning in machine-translated academic text. A proposition is that part of the meaning of a clause or sentence that is constant, despite changes in such things as the voice or illocutionary force of the clause. A proposition may be related to other units of its kind through interpropositional relations, such as temporal relations and logical relations. To assess whether the meaning of an utterance is conveyed adequately in the target text, we conducted the proposition-based evaluation by looking at the grammatical structure, semantic roles, and the category of proposition reflected in the source text and the target text. The analysis is done by adopting the qualitative approach based on Larson’s theory of Meaning-Based Translation. The findings of this study suggest that identical grammatical structure can have a positive correlation to the semantic structure and the transfer of meaning in machine translation. This study also reveals that grammatical-structure similarity does not always indicate meaning accuracy in translation.
INDONESIAN PARENTS’ CONSIDERATION TO SELECT CHILDREN BOOKS IN CONSTRUCTING MORAL IDENTITY

Parents believe that books are the media to enhance children’s knowledge enrichment, language development, and linguistic competencies. However, there are limited studies that envisage the involvement of parents in selecting books for their children. Current research that considers parents’ background as one of the literacy resources remains rare. This narrative inquiry explores Indonesian parents’ consideration in selecting children’s books as a means of constructing moral identity. Parents of a second-grade elementary student in Yogyakarta were the participants in this research. A semi-structured online interview sparked a discussion on what factors they consider when choosing children's books and why. The responses of parents revealed some key concerns about book choices: their experience, child’s contextual needs, and child’s interests. Furthermore, it is found that Indonesian children’s books tend to have moral fallacies that did not fit well with parents’ moral identity. As a result, parents’ book selection for the child was more into foreign publishers because they had more precise Islamic moral value representation.
THE VERB “HIT” IN PALEMBANG LANGUAGE: NATURAL SEMANTIC METALANGUAGE STUDY

Verb is one of the major lexical classes in language. There are three types of verbs, one of which is action verb, as found in the verb ‘hit’. The verb "hit" is a verb which has two meanings namely DO and HAPPEN forming the universal syntactic meaning: 'X does something to Y because that something happens to Y '. This paper aims to get a clear description of the verb “hit” categorization in Palembang language using Natural Semantic Metalanguage (NSM) theory. This research uses a qualitative approach to understand the forms of the verb "hit" in Palembang language and their explications within the NSM theory. The data used in this study are taken from native speakers of Palembang language. The results show that the categorization of the verb "hit" in Palembang language can be classified based on the body parts (hand, fingers) or the tools used to hit and based on the objects hit (head, face, or any body’s part).
İnternet Ortamında Görsel Veri Edinim Yolları Seçiminde Telif Hakkı Hassasiyeti

In this study, the place and importance of the subject of copyright was investigated while obtaining visual data on the internet environment.Artvin Çoruh University was selected as the sample universe and data were obtained from university students by the simple random sampling method.Students were asked questions appropriate to their working title through an online questionnaire using the Google Forms app online.The questions were aimed at measuring the way in which students chose artistic films, series or any animated visual on the internet, what factors are effective in choosing the paths they follow, and their awareness of and sensitivity to the subject of copyright.The results of the survey were analyzed and the report was prepared through the SPSS program.
Integrating Covariance Intersection into Bayesian multi-target tracking filters

Multi-target tracking systems typically provide sets of estimated target states as their output. It is challenging to be able to integrate these outputs as inputs to other tracking systems to gain a better picture of the area under surveillance since they do not conform to the standard observation model. Moreover, in cyclic distributed systems, there may be common information between state estimates that would mean that fused estimates may become overconfident and corrupt the system. In this paper we develop a Bayesian multi-target estimator based on the covariance intersection algorithm for multi-target track-to-track data fusion. The approach is integrated into a multi-target tracking algorithm and demonstrated in simulations. The approach is able to account for missed tracks and false tracks produced by another tracking system.
HABITUS INTEREST IN READING FUAD UIN KH ABDURRAHMAN WAHID PEKALONGAN STUDENTS

This research will use a qualitative approach media by surveying the subjects of thisstudy are FUAD students. Using the method of data collection this study will refer toa questionnaire, and interview. The data will analyze by combining descriptive andpercentatic analysis.
Graph Convolution Network for Social Recommendation

Abstract In recent years, due to the characteristics of graph convolutional networks (GCN) that can effectively integrate node information and topological structure, they have shown strong capabilities in graph data representation learning. Since the data in the social recommender systems exists in a graph structure, these characteristics of GNN greatly promote the development of social recommendation. However, the construction of GCN-based social recommender systems faces the following challenges: (1) Users exist in both user-item interaction graphs and social relationship graph, and items exist in both user-item interaction graphs and item collaborative similarity graphs; (2) There is high-order connectivity of the user-user social relationship and the item-item collaborative similar relationship; (3) The embeddings of users and items come from different two graphs have different semantic contributions. In order to solve the above three challenges simultaneously, this paper proposes G raph C onvolution Network for S ocial R ecommendation (GCSR), which models the user-item interaction network, social network and item collaborative similar network into a unified network. Specifically, we provide a principled method to explicitly capture the high-order connectivity of user-items to improve embedding. In addition, the gating mechanism is used for feature fusion to model heterogeneous strengths. A large number of experiments on two real datasets prove the effectiveness of the proposed framework GCSR.
THE EFFECT OF CRYPTOCURRENCY IN THE METAVERSE AGE

As the current era develops, not only technology has developed but also currency and our world has changed. There is a world that we can call a metaverse, a metaverse that is a world that describes virtuality or a world with a 3D concept. Cryptocurrency is a digital currency in the form of digital coins such as bitcoin. In using cryptocurrency as digital currency, there are risks, but we as humans who are developing in this era, are unconsciously required to follow the developments of the era. The purpose of this study is to analyze how influential cryptocurrency is in the metaverse era. The method used is qualitative. And the results of this study are in the form of influence on cryptocurrencies in the metaverse era.
ACTIVE LEARNING IN HYBRID AND PHYSICALLY DISTANCED CLASSROOMS

This paper discussed about the active learning activities in a hybrid and physically disdanced classroom. There are strategies that be used to engage all students in meaningful learning. Teaching and learning in these types of classrooms will be difficult. Here are some helped to both teachers and studentsd to foster social connection and feel comfortable with the new learning system according to their needs. KEYWORDS: teaching strategies in a distanced classroom, online teaching, new learning modality, online classroom.
PENGEMBANGAN E-MODUL INTERAKTIF BERBASIS CONTEXTUAL TEACHING AND LEARNING DALAM PEMBELAJARAN PPKN KELAS V SEKOLAH DASAR

The aim of this research is to develop an E-Module product based on Contextual Teaching and Learning in the material of Unity and Integrity for 5th grade of Elementary School. The development of this E-Module uses The Research and Development method with the ADDIE development model consisting of 5 stages including Analysis, Design, Development, Implementation, and Evaluation. The techniques of collecting data used in this research are interviews and questionnaires. The assessment of this research was carried out by involving three experts, an expert material lecturer, an expert media lecturer, and expert linguist lecturer and twenty three students of 5th grade at SDN Bendungan Hilir 05. Data analysis technique used in this research is descriptive statistical. The result indicate the E-Module based on Contextual Teaching and Learning for the material expert got a percentage of 88%, the media expert test got a percentage of 95%, and the linguist test got a percentage of 94%. The percentage of students trial for the one to one stage is 86%, small group is 88%, and field test is 91%. This E-Module based on Contextual Teaching and Learning is considered very feasible so, it can be used by student in learning for Civics on material of Unity and Integrity for 5th grade of Elementary School.
Digitalization of educational activities during the coronavirus infection

The transition to the digital economy, the new needs of the labor market, the existing digital inequality actualize the problems of digitalization of education, which is becoming the most important condition for the development of the economy of knowledge. Considering that the spread of coronavirus infection has transformed various aspects of social life and forced us to accelerate the transition to distance learning, we propose to consider the features of digitalization of the educational environment of the university on the example of the HSE. The article is based on the results of two studies: the All-Russian survey of students "Distance Education 2021" and the author's research conducted at the HSE (Distance 2021). Within the framework of these empirical projects, the goal was to find out the main directions of digitalization of universities in Russia, the main barriers to digitalization of the educational environment, as well as satisfaction with distance learning and the factors that determine this satisfaction. The level of digital technology proficiency, a quick and painless transition to a distance learning format shows the high readiness of the Russian education system to the new standards of the educational process. Students from different regions of the country showed a high level of satisfaction with the quality of online education, and when building their educational trajectories, they would prefer hybrid forms combining off-line and on-line classes. The research results have shown that satisfaction with distance education is generally lower than satisfaction with education at the HSE, and the main factors influencing satisfaction are organizational, not value-motivational. Some differences were revealed in the assessments of the educational process among students of different directions.
Maximal gap between local and global distinguishability of bipartite quantum states

We prove a tight and close-to-optimal lower bound on the effectiveness of local quantum measurements (without classical communication) at discriminating any two bipartite quantum states. Our result implies, for example, that any two orthogonal quantum states of a $n_A\times n_B$ bipartite quantum system can be discriminated via local measurements with an error probability no larger than $\frac12 \left(1 - \frac{1}{c \min\{n_A, n_B\}} \right)$, where $1\leq c\leq 2\sqrt2$ is a universal constant, and our bound scales provably optimally with the local dimensions $n_A,n_B$. Mathematically, this is achieved by showing that the distinguishability norm $\|\cdot\|_{LO}$ associated with local measurements satisfies that $\|\cdot\|_1\leq 2\sqrt2 \min\{n_A,n_B\} \|\cdot\|_{LO}$, where $\|\cdot\|_1$ is the trace norm.
The Effectiveness of Using WhatsApp in English Language Teaching during the Covid-19 Pandemic for Junior High School Students

This research is motivated by the change of the learning system from face-to-face (offline system) to online system caused by the COVID-19 pandemic. Yet, the purpose of this study was to determine the effectiveness of teaching English using WhatsApp during the COVID-19 pandemic, both for teaching receptive skills and productive skills using WhatsApp. This research used a descriptive quantitative method. The population in this study was all 7th-grade students at SMPN 2 Tanjung Raya. The sample in this study was all 7th-grade students of SMPN 2 Tanjung Raya as many as 50 students. The data collection technique used total sampling. The data were collected using the questionnaire. This study found that in general, on teaching English receptive skills and productive skills through distance were categorized as effective with a percentage of 79.9%. It means, for receptive skills in listening with an average of 80.6% and reading with an average of 82.4%. And teaching English productive skills with an average of 80.1% speaking and 76.6% writing. It is concluded that the use of the WhatsApp application as an English learning medium by English teachers during the Covid-19 pandemic was effective in teaching four English skills.
You Reap What You Sow—Revisiting Intra-class Variations and Seed Selection in Temporal Ensembling for Image Classification

In this work, we present our study on the influence of intra-class variations and seed selection on image classification using temporal ensembling. Through our experiments, we observe that for Fashion-MNIST and Kuzushiji-MNIST datasets with medium and high intra-class variations, (a) classification accuracy declines by 20% and 30%, (b) raising seed images by 5x improves accuracy by 15% and 8% respectively. Additionally, preliminary investigation on the Fashion-MNIST dataset reveals that with diversified seed selection class, level accuracy improves by 6%. In due process, our study exhibits convergence issues for unsupervised loss when training on datasets with medium and high intra-class variations.