Reviewerly/exHarmony huggingface dataset:
Эффективность применения базовых знаний соционики в коучинге

The application of socionic methods in coaching is considered. The necessity of using the knowledge of socionics by a coach in practical work with clients is shown.
Pengaruh Gaya Pembelajaran SAVI terhadap Hasil Evaluasi Belajar Bahasa Inggris Kelas V Sekolah Dasar

This study aims to determine how the influence of the SAVI (Somatic, Auditory, Visual, Intellectual) model on the learning outcomes of English class VA and VB in SDN Karang Sari I. This research is a quasi-experimental study with a quantitative approach, while the sample used in this study is VA class students and VB, each of which numbered 20 people, the method of collecting data on learning outcomes using multiple-choice tests and observations. Data analysis techniques used in this study were the normality test, two variance homogeneity tests, and the hypothesis test (t-test) used to determine the effect of the SAVI (Somatic, Auditory, Visual, Intellectual) learning model on English learning outcomes of VA and VB students in SDN Karang Sari I. Based on statistical perceptions the comparison of t arithmetic with t table shows 0.000> 0.05, which indicates that there is a significant comparison between the learning outcomes of English students in grade VA and VB in SDN Karang Sari I.
Recycling and Comparing Morphological Annotation Models for Armenian Diachronic-Variational Corpus Processing

Armenian is a language with significant variation and unevenly distributed NLP resources for different varieties. An attempt is made to process an RNN model for morphological annotation on the basis of different Armenian data (provided or not with morphologically annotated corpora), and to compare the annotation results of RNN and rule-based models. Different tests were carried out to evaluate the reuse of an unspecialized model of lemmatization and POS-tagging for under-resourced language varieties. The research focused on three dialects and further extended to Western Armenian with a mean accuracy of 94,00 % in lemmatization and 97,02% in POS-tagging, as well as a possible reusability of models to cover different other Armenian varieties. Interestingly, the comparison of an RNN model trained on Eastern Armenian with the Eastern Armenian National Corpus rule-based model applied to Western Armenian showed an enhancement of 19% in parsing. This model covers 88,79% of a short heterogeneous dataset in Western Armenian, and could be a baseline for a massive corpus annotation in that standard. It is argued that an RNN-based model can be a valid alternative to a rule-based one giving consideration to such factors as time-consumption, reusability for different varieties of a target language and significant qualitative results in morphological annotation.
Problems of improving pedagogical skills of future teachers of mathematics

The modern education system is facing new requirements and the society is putting forward new requirements among which the leading role is to improve the professional competence of teachers of mathematical disciplines. Mathematics has been used since the time of Pythagoras as the main tool for solving various practical problems in many areas of human activity. In this regard, there is a need to improve the level of mathematical training of modern youth . We believe that the training of future teachers of mathematical disciplines should be based on the principle of integration of humanitarian and mathematical skills, as well as wider use of information technology. In our opinion, such multi-faceted training will help future mathematics teachers to develop the skills required to form a correct understanding of the essence of mathematics, its significance for other Sciences and its significance for everyday life.
Approaches to Assessing the Performance of Professional Expert Communities

The article proposes the authors’ approach to assessing professional expert communities (PECs), based on the creation of a criteria scale and indicators of community activities. Using the comparative case study method, an analysis of the successful experience of 18 professional communities selected from an array of communities actively represented in cooperation with the institutes of the National Qualifications System is carried out. The content of the research is based on the use of the following research methods: content analysis, interviews with representatives of professional expert communities, case studies. It was found that the most successful communities, leading in the rating according to the results of the assessment, are the most consistent with indicators related to social criteria, and the least - to the material and technical, or economic. In addition, these PECs have a particular impact on socio-economic sustainable development from the viewpoint of the internal and external environment.
Digitalisasi Sekolah Melalui Pengembangan Website dan Layanan Sekolah Berbasis Teknologi Informasi

Schools as a place to forge students to become people who are ready to welcome the 21st century. 21st Century projection factors indicate the ability of literacy, one of which is technology literacy. Schools are required to familiarize students with the application of information technology. The method that can be applied is by digitizing the School. SMPN 4 Pakem has begun digitizing education with various steps and efforts. So it is necessary to study the digitization process and its impact on increasing existing resources.  The method used in this paper is through several stages. The initial stage is observation, which aims to see the activeness of the parts that have been digitalized. SMPN 4 Pakem implements education digitization through several sections, namely website, library, and evaluation and assessment system. The SMPN 4 Pakem website has become a medium of communication and information sources both internal and external. SMPN 4 Pakem Library implements library automation to improve services to users with the help of information technology-based applications.
Understanding the Effects of Human Factors on the Spread of COVID-19 Using a Neural Network

During the spread of an infectious disease such as COVID-19, the identification of human factors that affect the spread is a really important area of research.These factors directly impact the spread of such a disease and are important in identifying the various regions that are at a higher risk than others.This allows for an optimal distribution of resources according to predicted demand.Traditional infectious modeling techniques are good at representing the spread and can incorporate multiple factors that resemble real-life scenarios.The primary issue here is the identification of relevant variables.In this study, a residual analysis is presented to downsize the dataset available and shortlist the variables classified as absolutely necessary for disease modeling.The performance of different datasets is evaluated using an Artificial Neural Network and regression analysis.The results show that the drop in performance using the reduced dataset is reasonable as it is very difficult to obtain a perfect dataset covering only necessary variables.This approach can be automated in the future as it offers a small dataset containing a few variables against a large dataset with possibly hundreds of variables.
Visual novel camera direction using film-shooting technique arc tracking shot

In this paper, the film shooting technique 'arc tracking shot', which is mainly used to effectively express the dramatic appearance of characters, relationships between characters, and romantic atmosphere in movies, was actually implemented and applied to Visual Novel game cameras. Visual Novel is a genre of the game that focuses on story progression, as if reading a novel, and helps the story's immersion by adding audiovisual elements such as images and sounds. However, the existing Visual Novel camera is static and has very limited movement, which reduces the player's immersion in the story. In order to overcome this, the film's filming technique arc tracking shot, which has the importance of delivering the story, was introduced to the camera production of Visual Novel through the process of creating a virtual camera tracking rail in a 3D game engine and applying it to the camera. By introducing film production techniques, dynamic camera movements can overcome the shortcomings of the existing Visual Novel production and maintain immersion in the player, and more effectively convey the emotions and meanings the producer wants to convey.
Keynote Talk 4: Virtual and Augmented Reality Animals in Smart and Playful Cities

Our future urban environments are smart. Sensors and actuators are embedded in these environments and their inhabitants. We have an Internet of Things, where the `Things' include objects, cars, tools, buildings, street furniture, and w hatever can be equipped with sensors and actuators, including human and non non-human animals. Augmented humans and augmented animals have their senses extended with digital technology. Their smart wearables connected with the smart environment make humans and animals smarter. Rather than on living animals, in this survey paper we focus on non non-living virtual and augmented reality non non-human animals that will inhabit our smart and playable urban environments. They will co co-exist with robotic animals and (digitally augmented) humans and nonhuman animals. We include observations on augmented humans interacting with virtual and augmented reality animals. The paper is meant to raise awareness for the possibilities of augmented reality to introduce virtual animals for s ocial, entertainment, and educational reasons.
One-class Classification Robust to Geometric Transformation

Recent studies on one-class classification have achieved a remarkable performance, by employing the self-supervised classifier that predicts the geometric transformation applied to in-class images. However, they cannot identify in-class images at all when the input images are geometrically-transformed (e.g., rotated images), because their classification-based in-class scores assume that input images always have a fixed viewpoint, as similar to the images used for training. Pointing out that humans can easily recognize such transformed images as the same class, in this work, we aim to propose a one-class classifier robust to geometrically-transformed inputs, named as GROC. To this end, we introduce a conformity score which indicates how strongly an input image agrees with one of the predefined in-class transformations, then utilize the conformity score with our proposed agreement measures for one-class classification. Our extensive experiments demonstrate that GROC is able to accurately distinguish in-class images from out-of-class images regardless of whether the inputs are geometrically-transformed or not, whereas the existing methods fail.
PENGARUH MODEL PEMBELAJARAN TAKE AND GIVE DALAM MENINGKATKAN HASIL BELAJAR SISWA

The research objective was to determine the effect of the take and give type of cooperative learning model on student achievement in ICT class IX subjects at Janapria Junior High School. This type of research is a pure experiment with a one group pretest – postest design, that is, a research design carried out in one group only without a comparison group. The population in this study were all students of class IX at Janapria Junior High School, amounting to 74 students, while the sample of this study was 25 students of class IXB. The researcher used simple random sampling, which is a lottery system with the intention that each class has the same opportunity to become a member of the sample in this study. The data collection method used in this study was the test method as the main method and the method of documentation and the interview method as a complementary method, while the data analysis used the t-test. The result of this research is 5,759 and after being consulted with t table on d.f 24 with a significance level of 5%, which is 2.064. Based on these results, then tcount> ttable (5.759> 2.064) proves that the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted which reads: There is an effect of the take and give type of cooperative learning model on student achievement in classroom ICT subjects. IX at Janapria Junior High School.
PENGGUNAAN ASSOSIATION RULE MINING DALAM PENETAPAN HARGA PROMOSI, STOK, DAN PENATAAN PRODUK PADA ETALASE

In the first quarter of 2017, retail in Indonesia recorded a growth of 2.5%, while in 2018 the growth was only in the range of 1% -1.5%. The cause of the slow growth is the change in the consumption pattern of the people and it will continue at the beginning of 2018. In addition, the decreasing productivity of the community at the lower middle level. As a retailer, Anterah store also faces the same thing, so anticipating a decline in sales requires an analysis of the best-selling products and how to find out the relationship between the products purchased by consumers. The association relationship between these products will be used as the basis for product arrangement, so that the frequency of products that consumers often buy can be arranged closely together so that consumers do not have to look for them longer. Market basket analysis to determine the relationship between products sold simultaneously is used to explore association rules (Association Rule Mining) which will produce products that are purchased simultaneously as a consideration for product arrangement in Anterah Retail storefront. Meanwhile, the best-selling products will be explored using the Frequent Pattern Growth method in order to obtain a ranking list of the most purchased products by consumers. This analysis is used as a basis for considering product promotion. The test results on the sales sample data obtained an average value of minimum support = 0.0025, minimum confidence = 0.610, LaPlace = 0.9985, Gain = -0.006, p-s = 0.003, Lift = 103.82, Convicting 2.5285 with a processing time of 41.456 seconds.
Preface: Special Issue on Workshop on Advances in Parallel and Distributed Computational Models 2020

The 22nd Workshop on Advances in Parallel and Distributed Computational Models (APDCM), which was held in conjunction with the International Parallel and Distributed Processing Symposium (IPDPS) on May 18 - May 22, 2020, aims to provide a timely forum for the exchange and dissemination of new ideas, techniques and research in the field of the parallel and distributed computational models. The APDCM workshop has a history of attracting participation from reputed researchers worldwide. The program committee has encouraged the authors of accepted papers to submit full-versions of their manuscripts to the International Journal of Networking and Computing (IJNC) after the workshop. After a thorough reviewing process, with extensive discussions, four articles on various topics have been selected for publication on the IJNC special issue on APDCM. On behalf of the APDCM workshop, we would like to express our appreciation for the large efforts of reviewers who reviewed papers submitted to the special issue. Likewise, we thank all the authors for submitting their excellent manuscripts to this special issue. We also express our sincere thanks to the editorial board of the International Journal of Networking and Computing, in particular, to the Editor-in-chief Professor Koji Nakano. This special issue would not have been possible without his support.
A Biting Review of Shark Attacks Off Florida's Coast, 1960 - 2016

The authors examine the monthly total and average number of unprovoked shark attacks off Florida’s Atlantic and Gulf coasts between 1960 and 2016, with special emphasis on the last twenty-seven years, divided into three nine-year intervals. Two-way connected-line plots, bar graphs and a series of two-sample t-tests reveal that monthly averages were highest in April (1999 – 2007) and September (1999 – 2007 and 2008 – 2016). Topographic maps created for each nine-year period show the lowest densities (shark attacks per square mile) from 1990 to 1998 and the highest densities from 1999 to 2007, off the shore of the east-central part of the state, northeast of Orlando in Volusia County, home to Daytona Beach.
What Indonesian Think of Japanese’s Compliment

A compliment is one of the positive politeness strategies that had a function to bring closer the relationship between the speaker and the receiver. However, the characteristics and rules of using compliments differ based on language. Nowadays, communication opportunities between Indonesians and the Japanese had been increasing. If there any differences regarding compliments in Indonesian and Japanese, then problems that make human relationships not well-formed potentially occur. Therefore, this study aims to find out what problems are experienced by Indonesian regarding compliments in communication with Japanese, then find out what kind of action needs to take to avoid these problems. To find out the things mentioned above, the researcher conducted interviews with five respondents and distributed questionnaires based on the interview result to 60 respondents. The results of the interview and questionnaires show that Indonesians sometimes feel that the Japanese often giving compliments, and those compliments are excessive. When receiving compliments, Indonesians sometimes feel confused because they feel the object of compliment is not worthy of it, and they do not know how to respond. Moreover, Indonesians rarely feel confused when they try to give compliments to Japanese, but often feel like a failure after that. Hens, these thoughts can contribute to communication breakdown. These problems can be attributed to compliment factors and strategies. Hens, it is necessary to provide understanding to both speakers of the language that different factors that support the emergence of compliment and the use of compliment strategies.
Designing of system of educational task in the disciplines of professional and practical training for future technology teachers and professionals in vocational education

The article is devoted to the design and technological training of engineering and pedagogical specialists using the system of educational technical tasks. The analysis of the concepts of "task", "educational task", "technical task". The features and content of educational tasks are disclosed. Examples of educational technical problems that are used in teaching subjects of vocational and practical training are given. . The tasks were developed for health education at a higher education (higher education) level, to recognize the specialty of the technology teacher, the education service (on the basis of the Kherson State University) and the specialty of the "State Agency". It is proved that the educational task becomes educational only in conjunction with the previous and subsequent, that is, in the task system. It is demonstrated how each next task must necessarily contain elements of the previous one, however, the conditions for their use, as well as the wording or designation of the previously discussed concepts must be new. Performing repeatedly repeated operations with the same concepts and with a variation in the initial data and the form of posing questions contributes to the development of skills to solve technical problems. It is indicated that the solution of creative problems requires a future specialist to know the basics of various sciences and skills to effectively apply knowledge in each specific situation. In particular, in solving technical problems, students use drawing knowledge (analyzing graphically given conditions of the problem, schematically depicting their sentences), in physics (mechanics, electrics and magnetism, optics), they develop personal abilities for analysis, critical evaluation, generalization, and systematization. The use of educational technical tasks in the training of future specialists is an important element of their creative development, since their solution to technical ones promotes the integrated application of students' knowledge. I’m developing a system of primary technical tasks; I’m thinking for an independent robot and for activating an initial process.
The Influence of Loss Function Usage at SIAMESE Network in Measuring Text Similarity

In a text matching similarity task, a model takes two sequence of text as an input and predicts a category or scale value to show their relationship.A developed model is to measure the similarity -one of relationship between those two text.The model is SIAMESE network that implement two copies of same network of CNN, it takes text 1 and text 2 as the inputs respectively for two CNN networks.The output of each CNN network is features vector of the corresponding text input, both outputs are then fed by a loss function to calculate the value of loss (i.e.similarity).This research implemented two types of loss functions, i.e.Triplet loss and Contrastive loss.The usage purpose of these two types of loss functions was to see the influence toward the measurement results of similarity between two text being compared.The metrices used for this comparison are precision, recall, and F1-score.Based on the experimental results done on 1500 pairs of sentences, and varied on the epoch value starting from 10 until 200 with an increment of 10, showed the best result was for epoch value of 180 with precision 0.8004, recall 0.6780, and F1-score 0.6713 for Triplet loss function; and epoch value of 160 with precision 0.6463, recall 0.6440, and F1-score 0.6451 for Contrastive loss function gave the best performance.So that, the Triplet loss function gave better influence than Contrastive loss function in measuring similarity between two given sentences.
ESTRATÉGIAS CONTRA O SOFRIMENTO PSÍQUICO DOS TRABALHADORES DE ENFERMAGEM NA PANDEMIA DA COVID-19: ESTUDO REFLEXIVO

Objective: to discuss the strategies that can be adopted by nursing workers to mitigate psychological suffering during their professional performance in the Covid-19 pandemic.Method: theoretical-reflective study whose theoretical axes were: i) strategies adopted by the organization and work process; ii) strategies employed by class entities; iii) strategies practiced by workers: self-care.Conclusions and implications for practice: the problem of psychological distress resulting from working with people affected by Covid-19 is not a trivial situation, therefore, it is necessary to adopt comprehensive strategies to mitigate suffering and prevent illness.In this sense, strategies related to work organization, work process and the involvement of class entities are relevant, as well as the worker to be involved with their own care.It should be noted that the strategies discussed are not characterized as a Cartesian formula to be followed, but as guidelines that can alleviate the suffering that plagues the nursing collective.
Resource Creation and Evaluation of Aspect Based Sentiment Analysis in Urdu.

Along with the rise of people generated content on social sites, sentiment analysis has gained more importance. Aspect Based Sentiment Analysis (ABSA) is a task of identifying the sentiment at aspect level. It has more importance than sentiment analysis from commercial point of view. To the best of our knowledge, there is very few work on ABSA in Urdu language. Recent work on ABSA has limitations. Only predefined aspects are identified in a specific domain. So our focus is on the creation and evaluation of dataset for ABSA in Urdu language which will support multiple aspects. This dataset will provide a baseline evaluation for ABSA systems.