Reviewerly/exHarmony huggingface dataset:
Precinct Vaticinator on Social-Media using Machine Learning Techniques

Precinct vaticinator of users from online social media brings considerable research these days. Automatic recognition of precinct related with or referenced in records has been investigated for decades. As a standout amongst the online social network organization, Social-Media has pulled in an extensive number of users who send a millions of tweets on regular schedule. Because of the worldwide inclusion of its users and continuous tweets, precinct vaticinator on Social-Media has increased noteworthy consideration in these days. Tweets, the short and noisy and rich natured texts bring many challenges in research area for researchers. In proposed framework, a general picture of precinct vaticinator using tweets is studied. In particular, tweet precinct is predicted from tweet contents. By outlining tweet content and contexts, it is fundamentally featured that how the issues rely upon these text inputs. In this work, we predict the precinct of user from the tweet text exploiting machine learning techniques namely naïve bayes, Support Vector Machine and Decision Tree.
MICRO-CREDENTIALS IN THE SYSTEM OF HIGHER EDUCATION

International scientific conference "Modern scientific developments in pedagogy and psychology" : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : "Baltija Publishing", 2022. 204 pages.
PEDAGOGICAL MENTALITY OF THE FUTURE TEACHER IN THE PREPARATION OF MASTER'S STUDENTS OF HIGHER TECHNICAL EDUCATIONAL INSTITUTIONS

International scientific conference "Modern scientific developments in pedagogy and psychology" : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : "Baltija Publishing", 2022. 204 pages.
REGULATORY AND LEGAL ASPECTS OF THE EFFECTIVENESS OF EDUCATIONAL ACTIVITIES DURING DISTANCE LEARNING IN THE PRESENT PERIOD

International scientific conference "Modern scientific developments in pedagogy and psychology" : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : "Baltija Publishing", 2022. 204 pages.
A PERSONALLY-ORIENTED APPROACH IN EDUCATION AS A MEANS OF FORMING THE PROFESSIONAL SELF-REALIZATION OF AN INDIVIDUAL IN FUTURE ACTIVITIES

International scientific conference "Modern scientific developments in pedagogy and psychology" : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : "Baltija Publishing", 2022. 204 pages.
VALUES OF MODERN UKRAINIAN SCHOOL

International scientific conference "Modern scientific developments in pedagogy and psychology" : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : "Baltija Publishing", 2022. 204 pages.
PATTERNS OF FORMATION OF EMOTIONAL AND ETHICAL COMPETENCE OF YOUNGER SCHOOLCHILDREN

International scientific conference "Modern scientific developments in pedagogy and psychology" : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : "Baltija Publishing", 2022. 204 pages.
FORMATION OF SOFT SKILLS AS A FACTOR OF PROFESSIONAL AND SOCIAL SUCCESS

International scientific conference "Modern scientific developments in pedagogy and psychology" : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : "Baltija Publishing", 2022. 204 pages.
PSYCHOLOGICAL ACCOMPANIMENT OF THE GIFTED CHILD IN THE CONTEXT OF THE PERSON-ORIENTED APPROACH

International scientific conference "Modern scientific developments in pedagogy and psychology" : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : "Baltija Publishing", 2022. 204 pages.
Investigating students preception of gamification on vocabulary learning using Marbel

&lt;p&gt;&lt;em&gt;It is critical to know and memorize the vocabulary of a foreign language if one wishes to learn it, and repetition is necessary to aid in the retention of new knowledge. This paper investigated primary school students’ perception of gamification on vocabulary learning with 32 participants divided into two groups: Primary 1 and Primary 2. The research purpose on perception using Marbel for primary students and conducted with quantitative method. The results of this research show that gamification can improve students’ vocabulary size with majority of students’ feedback saying that they preferred Marbel than worksheet to learn vocabulary. At the same time, students were learning through their failures throughout the gameplay, they were encouraged to memorize the words. This will help students grow into independent and competent learners.&lt;/em&gt;&lt;/p&gt;
A novel Watermarking Technique Based on Hybrid Transforms

This paper proposed Anovel watermarking scheme using hybrid of Dual Tree Complex Wavelet Transform and singular value decomposition . Image watermarking is to embed copyright data in image bit streams. Our proposed technique demonestrates the effective and robust of image watermarking algorithms using a hybrid of two strong mathematical transforms; the 2-level Dual Tree Complex Wavelet Transform (DT-CWT) and Singular Value Decomposition (SVD). This technique shows high level of security and robustness against attacks. The algorithm was tested for imperceptibility and robustness and the results were compared with DWT-SVD-based technique, it is shown that the proposed watermarking schemes is considerably more robust and effective.
Intoxication by the Woods as a Case of Captivation

In the series of lectures Woods (Hyle): (Problem of Matter, History of the Concept, Living Matter in Ancient and Modern Biology), Vladimir Bibikhin, while reviewing the Aristotelian notion of matter, repeatedly mentions various intoxicants. However, the role that they play seems unclear. This article aims to explain the meaning and importance of intoxicants for interpreting the notion of matter. The article considers Bibikhin's interpretation of the Aristotelian notion of matter and juxtaposes it with other commentators of Aristotle (Vasileva T., Riker P., Chanyshev A., Chernyakov A.). Emphasis is placed on the interpretation of the indefinitiveness of matter since V. Bibikhin's position differs from P. Ricoeur's. After a preliminary explanation of the fundamental indeterminacy of matter, it is argued that the question “What matters?” is counterproductive. As an alternative, a phenomenological question is suggested: “In what relations with matter are we?”. To answer this question, we use Bibikhin's notion of captivation, the dictionary meaning of the word matter (woods), and the notion of intoxication. They allow us to explore the problems of one's escape from the metrical and moral coordinates, shattering the normative control of consciousness, eliminating norm and form notions, and returning to one's own (proper). A description of the state of captivation as a consequence of intoxication by woods allows us to demonstrate in what sense matter can be understood as indefinitive.
On the coalitional decomposition of parameters of interest

Understanding the behavior of a black-box model with probabilistic inputs can be based on the decomposition of a parameter of interest (e.g., its variance) into contributions attributed to each coalition of inputs (i.e., subsets of inputs).In this paper, we produce conditions for obtaining unambiguous and interpretable decompositions of very general parameters of interest.This allows to recover known decompositions, holding under weaker assumptions than stated in the literature.
STUDI LITERATUR TENTANG POTENSI AUGMENTED REALITY SEBAGAI MEDIA PEMBELAJARAN SEKOLAH MENENGAH PERTAMA

This study aims to examine the existence of Augmented Reality as a learning medium in the era of modernization. The method used in this study is a literature study. The result of this research is that Augmented Reality has a good influence as a learning medium so that it is able to keep up with the development of technology. The conclusion of this study is evident from the research articles that were carried out earlier.
Illustration Graphic Design Training for Small Businesses as a Form of Business Development

In the city of Magelang there is a wholesale Kedjora UMKM. These UMKM sell several fashion products, especially Muslim women's clothing which are self-produced and some buy from manufacturers in Bandung. In fact, they want the products they sell to be off the market, so they need skills to make their own designs. The problem is that the wholesale Kedjora UMKM has not been able to design clothes digitally so they buy more from producers in Bandung and Jakarta. Therefore the product is not exclusive. Based on the above it is important because if they can design their own products they will produce products that are not marketable and are able to compete in today's fashion industry. Through increasing skills in making digital clothing designs, those who already have the skills and want independent entrepreneurs who incidentally are on a small scale, they are able to compete with medium or large business actors in meeting the needs of individuals, organizations and the wider community in the global market.
AN IMPLEMENTATION PAPER ON A FRAMEWORK AND TECHNIQUES FOR IMAGE-BASED SEARCH APPLICATION WITH AN E-COMMERCE DOMAIN

A large image database is growing rapidly as billions of images transferred every day at various chronicles like Instagram, snapchat, Facebook etc. and expected to continue in the future. With a particularly immense measure of data, the requirement for a successful pursuit in the image ages. Furthermore, if astoundingapparatuses have effectively been made for text search, image search stays an uncertain issue. Traditionally, most end-users use retrieval systems to write questions or queries and get text results. But endusers continuously expect search engines to be "intelligent" and they want a retrieval system to explore cyberspace using an image, as with the built-in camera on a mobile phone to send relevant resemblance, videos, and other formats. So, it becomes a major challenge to retrieve and processing images from this large database. Our paper introduced a novel methodology in contentbased image retrieval (CBIR) by consolidating the low level component for example shape, texture and color features. CBIR helps in retrieving images from an huge database in an efficient manner it is fastest growing research area in this field. The study found that convolutional neural networks can use to break down divisions and retrieval issues. Image details are much bigger than text data, and we cannot identify ocular particular by old techniques designed to identify text details. Therefore, CBIR has acquired significant benefits from research society. In this paper we aim to frame the feature vectors of the entire image by consolidating the shape, texture and color features and to get a decent performance in terms of the precision and recall. The image retrieval system is used to find images as per user request from the database. In this paper we also explored the flutter framework with dart language. We aim to mitigate the fundamental issue that app developers have been facing for so long- maintaining multiple apps for multiple platforms.
Factor Analysis: An Application of the Digital Competencies Questionnaire in Students of the Business Administration Career of the Instituto Tecnológico Superior España (ISTE)

The purpose of this research was to perform an exploratory factorial analysis of the digital competencies questionnaire in students. A cross-sectional observational design was applied to 322 students of the Tecnológico Superior Universitario España from the 4th and 5th cycles of the Business Administration career. It was obtained that the basic assumption of the factor analysis of the Kaiser-Meyer-Olkin Measure was 0.778 and Bartlett’s sphericity test had a significant value p&lt;0.000. On the other hand, the variance of the first component was 28%, component 2 had a percentage of almost 12% as explained variance, and finally the third component had a variance percentage representation of 10%. This means that the percentage of accumulated variance of the three components was 50.5%.
Stable Coin Distribution and Ownership Analysis

One of the biggest changes in the crypto industry over the past years has been the emergence and development of stable coins. Split across many networks (Bitcoin, Ethereum, Cardano and many more) and issues (Tether, Circle/Coinbase, Binance, etc). These assets share many similarities such as the price, often use the same smart contract (ERC-20) and serve similar users. In this project, we will look at stable coin’s network data and try to understand how their uses varies across the networks they are based on and their issuer. More particularly, we will look at Tether (on it’s Omni, Ethereum and Tron versions), Paxos, USDC, TrueUSD, Gemini Dollar, HUSD, Binance USD and USDK. Index Terms- Stable Coins, Blockchain, Cryptocurrencies, Data Analytics.
The trend in the domestic research regarding traditional early childhood education: Using the semantic network analysis

본 연구는 전통 유아교육 연구의 변화를 파악하고 문화적 세계화의 시대에 우리가 지향해야 할 전통 유아교육의 방향을 가늠하기 위해 수행되었다. 이를 위해 언어 네트워크 분석의 방법으로 2002년부터 2021년까지 20년간의 학술지 정규논문 637편을 이용, 방대한 빅데이터 속에서 ‘전통유아교육’과 관련한 텍스트의 핵심 개념을 추출하였다. 주요결과는 다음과 같다. 새로운 밀레니엄의 등장과 함께 2000년대 이후 전통유아교육 관련 연구가 증가하다가, 최근에는 감소 추세를 보이고 있다. 주제와 관련하여 각 개념이 출현하는 빈도를 확인한 결과, ‘전래동요’, ‘전래동화’, ‘전통놀이’, ‘유아’, ‘전래놀이’ 순으로 나타났다. 네트워크 안에서 특정 주제어가 다른 주제어들과 어느 정도 가까운지 그 정도를 나타내는 근접중심성 지수가 높은 주제어는 ‘태교’, ‘유아교육기관’, ‘유아전퉁문화교육’, ‘동화’, ‘국악능력’의 순이었다. 이는 전통 유아교육에서 태교의 역할이 중요하게 인식되고 있음을 의미한다. 연결의 밀집 정도를 분석하여 연구 키워드의 군집 간 관계를 파악한 결과 ‘전통풍속’, ‘사회성 및 전통예술’, ‘인성교육’, ‘언어발달 및 국악’의 4가지 군집으로 분류되었다. 4가지 군집 중, 전통풍속 군집의 크기와 연결이 가장 빈약하여 해당 분야의 연구가 필요함을 시사한다. 이 연구는 전통육아나 전통적 부모역할, 유아와 관련한 풍속에 대한 연구의 필요성 및 전통유아교육에 있어 전통신체표현 활동, 전통미술 활동 등이 보강될 필요성을 제시한다.The purpose of this study was to investigate on the trends in the domestic research regarding traditional early childhood education and to figure out aims for cultural globalization. Using the semantic network analysis, the keywords in 637 academic journals published from 2002 to 2021 were analyzed. The findings were as follows. With the advent of a new millennium, research of traditionalearly childhood education has been increased since the 2000s, but has recently been on the decline. The most frequent appearing keywords were ‘traditional song’, ‘traditional fairy tale’, ‘traditional play’, ‘young children’ and ‘orally transmitted play’. In terms of the closeness centrality which shows how a certain keyword would closely relate to other keywords, ‘prenatal education’ was ranked the highest, and ‘early childhood education institute’, ‘traditional education for young children’, ‘fairy tale’ and ‘Korean classic music ability’ were ranked consequently. It meant that the role of prenatal education was considered very important. The CONCOR(CONvergence of iterated CORrealtion) results showed that four different groups were formed according to the connecting density: ‘Traditional Dependenace’, ’Sociality and Traditional Art’, ’Personality Education’, and ’Linguistic Development and Traditional Music’ and suggested that the more research regarding traditional manners were needed. This study implies that the researchers need to have more interested in traditional early childhood for young children to be more exposed to the traditional activities such as traditional body expression or traditional art activity.
Dialectica principles via Gödel doctrines

Gödel's Dialectica interpretation was conceived as a tool to obtain the consistency of Heyting arithmetic in the 40s. In recent years, several proof theoretic transformations, based on Gödel's Dialectica interpretation, have been used systematically to extract new content from classical proofs, following a suggestion of Kreisel. Thus, the interpretation has found new relevant applications in several areas of mathematics and computer science. Several authors have explained the Dialectica interpretation in categorical terms. In particular, de Paiva introduced the notion of a Dialectica category as an internal version of Gödel's Dialectica Interpretation in her doctoral work. This was generalised by Hyland and Hofstra, who considered the interpretation in terms of fibrations. In our previous work, we introduced an intrinsic presentation of the Dialectica construction via a generalisation of Hofstra's work, using the notion of Gödel fibration and its proof-irrelevant version, a Gödel doctrine. The key idea is that Gödel fibrations (and doctrines) can be thought of as fibrations generated by some basic predicates playing the role of quantifier-free predicates. This categorification of quantifier-free predicates is crucial not only to show that our notion of Gödel fibration is equivalent to Hofstra's Dialectica fibration in the appropriate way, but also to show how Gödel doctrines embody the main logical features of the Dialectica Interpretation. To show that, we derive the soundness of the interpretation of the implication connective, as expounded by Troelstra, in the categorical model. This requires extra logical principles, going beyond intuitionistic logic, namely (suitable versions of) the Markov Principle (MP) and the Independence of Premise (IP) principle, as well as some choice. We show how these principles are satisfied in the categorical setting, establishing a tight correspondence between the logical system and the categorical framework. This tight correspondence should come in handy not only when discussing the traditional applications of Dialectica, but also when dealing with some newer uses of the interpretation, as in modelling games or concurrency theory. Finally, to complete our analysis, we characterise categories obtained as a result of the Hyland, Johnstone and Pitts tripos-to-topos construction when applied to Gödel doctrines.
Performance Enhancement Step for Motion Estimation via Feature-based Image Matching

Most of the complicated and sophisticated tasks in visual robotics applications usually build upon the image matching step as matching images of the same scene can provide important information (e.g., camera motion). Image matching is generally done via extracting and matching some distinctive points via their feature vectors. This procedure generates some mismatched points due to imperfections. Mismatched points are called outliers and identified via probabilistic methods. Since the probabilistic methods work iteratively, they generally occupy a large portion of the computational cost of the whole image matching pipeline. In this paper, we present a simple yet efficient algorithm that is employed for eliminating the outliers aiming at reducing the total number of iterations needed in the probabilistic methods. Our method is motivated by the common way of visualizing the established matches among images. We tile images together and search for parallel lines connecting correspondences. We present extensive computational and comparative experiments using both simulated data involving along with real images and using a real dataset.
GLOBAL TRENDS IN EDUCATION THROUGH THE EYES OF TEACHERS AND STUDENTS

The modern system of education should be quickly adapting to an environment of high uncertainty and fast changes.That's why nowadays there are a lot of new approaches to teaching, learning and assessment for a new world.A group of academics at the Institute of Educational Technology in The Open University, UK, in collaboration with researchers from the Open University of Catalonia, Spain presented their tenth annual report to propose another set of innovations that are already in currency but have not yet had a profound influence on education.They performed 10 trends in education.They are Hybrid models, Dual learning scenarios, Pedagogies of microcredentials, Pedagogy of autonomy, Watch parties, Influencer-led education, Pedagogies of the home, Pedagogy of discomfort, Wellbeing education and Walk-and-talk.All these trends seem to be of great importance because they are not just about the wider use of digital tools, but also stronger attention to mental well-being and social interactions.We approached teachers and students of three significant educational institutions in Tatarstan, asking them to study these global trends and name the most prospective ones and, those that are less relevant for the country.As a result, we received comments on the global trends from 300 participants.The aim of our study is to reveal teachers and students point of view on global trends of education and determine the most and less prospective ones for the Republic of Tatarstan.The research methodsanalysis of global trends in education, a survey to collect feedback from teachers and students; statistical methods for processing the obtained data.The study took place in September 2022 in groups of students and teachers of Kazan Federal University, Kazan Branch of the Russian State University of Justice and Kazan State Institute of Culture.The resultsthe participants of the survey determined Hybrid models, Dual learning scenarios as the most prospective trends in education.Pedagogy of autonomy and Walk-and-talk seem to be the least prospective ones.
Improving Learning Outcomes through Make A Match Method Learning in Social Studies

Social studies learning tends to be a subject that is less attractive to students. This can be caused by the learning model that is not appropriate and the presentation is still monotonous, so that students become bored and lack enthusiasm in learning. It is known that the results of the Social Studies test for class VII, 23 out of 32 students scored &lt;70, which means that student learning outcomes are low. This study aims to determine the implementation of the make a match type of cooperative learning model in improving student learning outcomes in social studies subjects. This study uses a quantitative approach with a quasi-experimental method (quasi-experimental). Sources of data were taken from students of class VII MTs. Exactly Tarogong Garut, totaling 42 students. Data collection techniques were carried out using tests and observation sheets. Based on the results of the study, it can be concluded: 1) The implementation of the make a match cooperative model in improving student learning outcomes in social studies subjects is included in good criteria. 2) Social studies learning with the make a match cooperative learning model is effective in improving student learning outcomes. It can be seen in the N-Gain results that the experimental class got 0.36 results in the "Medium" category while the control class got 0.21 results in the "Low" category
An Educational Needs Analysis for the Development of Employment Competency of Adult Learner by Career

The purpose of this study is to identify the educational needs for employment competency according to the career status of adult learners who participated in vocational education to have a job in the SW-related field. To this end, 345 adult learners who participated in SW-related vocational education at vocational training institution A were surveyed to analyze the current level and future needs of adult learners, consisting of 4 competency groups and 20 sub competencies. As a result of using the t-test and The Locus for Focus Model to check the educational needs, there was a significant difference between the current level and future needs for the entire competency group, but there was no significant difference in organizational and job commitment sub-competencies among sub-competencies. Also, if you look at the top areas with the highest educational needs, experienced learners were in the order of job document writing ability and job communication ability, and learners without experience were in the order of job search document writing ability, job decision-making ability, resource utilization ability, and self-understanding. Based on the needs of adult learners who participated in SW vocational education, systematic support measures such as customized curriculum and counseling will be available to produce SW talents with the job search skills needed by society.