Reviewerly/exHarmony huggingface dataset:
Collaborative environment as a favorable condition for the formation of professional teacher’s competence of additional education

The urgency of the problem of creating favorable environmental conditions for the formation of professional competence of teachers is due to the need of the developing society of modern Kyrgyzstan for educated, moral, enterprising people who can independently make responsible decisions, be mobile, dynamic, constructive specialists, and have a developed sense of responsibility for the fate of the country. The quality of education, including additional education, guarantees the competitiveness of the state. The purpose of this article is to present the results of the study of the role of the collaborative environment in the formation of professional competence of teachers of additional education. On the example of the activity of the republican educational and methodological center of aesthetic education “Balazhan”, it is shown how the introduction of the basics of collaboration in the pedagogical process contributes to the formation of the professional competence of the teacher of additional education. The author on the basis of a large-scale study, which was attended by four hundred ninety-seven children and twenty-five teachers of additional education, presented as formed the professional competence enable the teacher to create in the educational process of effective collaborative environment conducive to the intellectual and creative potential of students; allow to understand, appreciate their work, to understand their role as a helper, Advisor, mentor. The article reveals how the creation of the collaborative environment, the activity of the teacher of additional education for its formation and development, the interaction of the teacher with the social partners, as members of a holistic educational process and the features of the collaborative environment to work with children contribute to the formation of professional competence of the teacher of additional education. The author emphasizes that a pedagogically well-organized collaborative educational environment in the conditions of extracurricular additional education is one of the effective mechanisms for the formation of a socially successful personality
Improving Human Text Simplification with Sentence Fusion

The quality of fully automated text simplification systems is not good enough for use in real-world settings; instead, human simplifications are used.In this paper, we examine how to improve the cost and quality of human simplifications by leveraging crowdsourcing.We introduce a graph-based sentence fusion approach to augment human simplifications and a reranking approach to both select high quality simplifications and to allow for targeting simplifications with varying levels of simplicity.Using the Newsela dataset (Xu et al., 2015) we show consistent improvements over experts at varying simplification levels and find that the additional sentence fusion simplifications allow for simpler output than the human simplifications alone. OriginalBird damage is often overshadowed by weather and water as a farmer's chief concerns.Crowdsourced 1 Farmers problems with birds is over shadowed by weather and water.Crowdsourced 2A farmer is mostly worried about weather and water.But a farmer might also worry about birds causing damage.Generated 1 Bird damage is often overshadowed by weather and water.Generated 2A farmer is mostly worried about weather and water as a farmer's chief concerns.Generated 3Farmers problems with birds is over shadowed by weather and water as a farmer's chief concerns.
Performance Analysis of Decision Aid Mechanisms for Hardware Bots Based on ELECTRE III and Compensatory Fuzzy Logic

The development of ubiquity in computing demands more intelligence from connected devices to perform tasks better. Users usually lookout for devices that proactively aid in an environment, making decisions as themselves. Such cognitive models for hardware agents have increased in recent years. However, although numerous strategies emulate intelligent behavior in hardware, some problems are still to overcome, such as developing a hardware agents’ preference system with small computing capabilities. The present research proposes two novel cognitive preference models viable for hardware with few memory cells and small processing capacity; it also analyzes the approaches’ achieved performance.
The Correlation Between Vocabulary Mastery Towards Employees’english Speaking Skill at Obstetric and Gynecology Polyclinic in Hermina Grandwisata Hospital

The research aims to analyze the correlation between vocabulary mastery towards employees’ speaking English skill. The research conducted at obstetric and gynecology polyclinic in Hermina Grandwisata Hospital. The research used quantitative research which used correlational technique design. The researcher takes 32 employees for the sample and gives test with 30 questions for English vocabulary and speaking test consist of multiple choice and oral test. The data are analyzed using by SPSS version 2.2. Based on the result of the study, it can be concluded that there is a significant effect of vocabulary mastery towards employees’ English speaking skill at obstetric and gynecology polyclinic in Hermina Grandwisata Hospital. This is evidenced by the acquisition of the results of the significant 0,000 &lt; 0,05 and T Value = 2.824. It shows that T table is 1,697 &lt; T value, so it can be concluded that (Ho) is rejected and (Ha) is accepted. It means that there is a correlation between vocabulary mastery (X) toward English speaking skill (Y).
When What’s Unspoken Speaks Volumes---On the Historical Cognition and Ideological Value of “Fujian Incident”

Fujian incident, as an important part of the surging people's Liberation Movement in the 20th century, played a significant positive role in inspiring the pulse of the times and promoting the development of the cause of the red revolution at that time, although the final success or failure was on the verge of success.Therefore, based on the learning requirements of contemporary youth for the "four histories" and the correct historical understanding of the Fujian incident, this paper analyzes and summarizes its historical value and significance of the times, and extends the new era elucidation of its enthusiasm from the perspective of spiritual education, so as to further enrich the body of contemporary college students' Outlook on life and lay a solid foundation for values.
Formation of pedagogical values in future teachers in higher education institutions

International scientific and practical conference «Pedagogy and psychology in the modern world: interaction vectors» : conference proceedings, May 28–29, 2021. Wloclawek: «Baltija Publishing». 151 pages.
Experimental Development of Fuzzy Controllers for Thermal and Pneumatic Processes

In this project, a Fuzzy control system is proposed in an industrial process training module with two independent systems between them, one thermal and the other pneumatic. The control algorithm is developed in Python language v3.6 executed by a Raspberry Pi B+, both controllers depend on the error and change in error that are updated in times of 2 s and 1 s, for temperature and pressure respectively, communication with the plants uses A/D and D/A converters, the thermal Fuzzy was analyzed with three temperature references [50,100 and 150]°C, with a rise time of 191 s, 360 s and 505 s; steady state error of 5.5%, 0.7% y 0.7%, in the pneumatic system the speed of change between references is evaluated from 10 psi to 15 psi varying the activation of the compressor at the beginning of the experiments, the settling times obtained are 111 s and 106 s, with the compressor off the result is 116 s and 88 s, besides a maximum excess of 13% with inherent oscillations to the type system that are in an acceptable range.
KLASIFIKASI PEMBERIAN KREDIT SEPEDA MOTOR MENGGUNAKAN METODE REGRESI LOGISTIK BINER DAN CHI-SQUARED AUTOMATIC INTERACTION DETECTION (CHAID) DENGAN GUI R (Studi Kasus: Kredit Sepeda Motor di PT X)

One of the factors causing the bankruptcy of a company is bad credit. Therefore, prospective customers need to be selected so that bad credit cases can be minimized. This study aims to determine the classification of credit granting to prospective customers of company X in order to reduce the risk of bad credit. The method used is the binary logistic regression method and the Chi-Squared Automatic Interaction Detection (CHAID) method. In this study, data used in November 2019 were 690 motorcycle credit data for company X in Gresik. The independent variables in this study are the factors that affect bad credit such as gender, marital status, education, employment, income, expenses, home ownership status and the dependent variable is credit status (bad and current). The analysis results show that the binary logistic regression has an accuracy value of 76.38% with an APER of 23.62%, while CHAID has an accuracy value of 93.19% with an APER of 6.81%. The accuracy value of the CHAID method is greater than the binary logistic regression method, while the APER value of the CHAID method is smaller than the binary logistic regression method. So it can be concluded that the CHAID method is better than the binary logistic regression method in classifying bad credit at company X. Keywords: Credit, Classification, Binary Logistic Regression, CHAID.
FrameNet and Typology

FrameNet and the Multilingual FrameNet project have produced multilingual semantic annotations of parallel texts that yield extremely fine-grained typological insights.Moreover, frame semantic annotation of a wide cross-section of languages can provide information on the limits of Frame Semantics (Fillmore, 1982(Fillmore, , 1985)).Multilingual semantic annotation offers critical input for research on linguistic diversity and recurrent patterns in computational typology.Drawing on results from FrameNet annotation of parallel texts, this paper proposes frame semantic annotation as a new component to complement the state of the art in computational semantic typology. 1
A Proposed Design for Cross Platform Applications using Web Technologies

Web applications are easier to build, maintain, and distribute than native applications.With new developments in JavaScript engines and the introduction of WebAssembly, web applications can execute CPU-intensive tasks at 0.9 the speed of C/C++.Dozens of natively implemented APIs such as WebGL and Audio API are now exposed to JavaScript through the browser.With the help of these APIs, we see more and more web-based applications and games.This paper presents a novel design to get the most out web technologies.It aims to bring freedom of the web to desktop applications.Developers will never need to use proprietary programming languages or frameworks to implement their ideas.Even with existing cross platform frameworks there is still a learning curve that developers need to go through.However, in this proposed design the development is done entirely using standardized web technologies.
The role of children's wind orchestra in the development of young talents of Ukraine

The purpose of the article is to highlight the musical path of some bright performers on wind instruments from among the members of children's wind groups, as well as to reveal the role of collective music-making at the initial stage of mastering a musical instrument. The methodology is based on historical-biographical and analytical methods. Due to the lack of a source base, the method of individual interview was used on some issues. Scientific novelty. The initial stage of learning on wind instruments and children's orchestral performance lay the foundation for the formation of the performer's personality. Acquainting students with the work of bright wind performers has a positive effect on their attitude to musical performance. For the younger generation of performers, contemporary examples are more understandable, so covering the musical path of today's famous young performers can be a good example to follow. Conclusions. Identification of gifted students in children's orchestras and further development of their abilities will certainly result in the emergence of bright performers. In orchestras, young musicians gain useful experience of collective playing, thoroughly study music, develop musical hearing, memory, and sense of rhythm, gain skills in performing various genres of music, which helps to expand the worldview of future professionals. From the given examples we see that if the executor besides talent has also purposefulness, he has all chances to become the recognized executor. Through the involvement of a wide range of children in collective music, it is possible to find among them real talents, which in the future will be the drivers of spiritual performance culture.
Sistem Pakar Mendiagnosa Penyakit Anemia dengan Menggunakan Metode Teorema Bayes Berbasis Web

Expert systems are a branch of artificial intelligence that studies how to adopt an expert's way of thinking in solving a problem and making a decision to draw conclusions. In this case the expert system is used to diagnose anemia. What is discussed is how to determine the type of disease, how to overcome anemia in the community and designing expert systems using technology. nemia caused by a lack of red blood cells or malfunctioning red blood cells in the body. This causes reduced oxygen flow to the organs of the body. Vitamin B supplements can be used for low vitamin levels. The Bayes method is a method for producing parameter estimates by combining information from samples and other information that has been previously available. Bayes' theorem is used to calculate the probability of an event occurring based on the effects of these observations. From several studies that have been done, it is found a solution to prevent anemia. Anemia can cause weakness and dizziness due to lack of blood, which can lead to complications. The objective is to provide information to assist the general public in diagnosing anemia and getting a preciseand accurate diagnosis.
Has Physics Theory Become Vacuous?

Modern science made its mark by gaining knowledge and understanding in a bottom-up manner: starting with observed phenomena and developing explanatory theories.&#x0D; From about the middle of the 20th century, however, reliance on accepted theories became increasingly dogmatic. One indication of increasing dogmatism was a failure to acknowledge phenomena for which no obvious explanation already existed—unidentified flying objects, unidentified creatures (Loch Ness Monsters, yetis, Bigfoot), parapsychological phenomena. Dissatisfaction with ignoring such phenomena led to the founding of the Society for Scientific Exploration as well as other, typically more topic-specialized, groups. A further indication of increasing dogmatism was the continuing adherence in many mainstream matters to explanations no longer consonant with accumulating evidence (Bauer, 2012a).&#x0D; Nevertheless, it continues to be widely believed that science is carried on, and should be carried on, as described by the scientific method: The validity of theories is judged by their adequacy in explaining observable facts.&#x0D; Lost in Math argues that theoretical physics is no longer a science in this sense, that it has become a playground of purely mathematical speculation, with judgments of potential validity made not by appeal to observables but to such aesthetic values or principles as elegance or beauty.&#x0D; The book is enormously informative, extremely well-written, highly recommendable. Honestly and with full disclosure, Sabine Hossenfelder describes in the first person her grappling with the dilemma that her profession, theoretical physics, appears to be determinedly wrong-headed, at an impasse, a dead end, going nowhere, for instance producing 193 models for the early universe and 500 theories to explain a spurious signal (p. 235).
How low is too low? A monolingual take on lemmatisation in Indian languages

Lemmatization aims to reduce the sparse data problem by relating the inflected forms of a word to its dictionary form.Most prior work on ML based lemmatization has focused on high resource languages, where data sets (word forms) are readily available.For languages which have no linguistic work available, especially on morphology or in languages where the computational realization of linguistic rules is complex and cumbersome, machine learning based lemmatizers are the way to go.In this paper, we devote our attention to lemmatisation for low resource, morphologically rich scheduled Indian languages using neural methods.Here, low resource means only a small number of word forms are available.We perform tests to analyse the variance in monolingual models' performance on varying the corpus size and contextual morphological tag data for training.We show that monolingual approaches with data augmentation can give competitive accuracy even in the low resource setting, which augurs well for NLP in low resource setting.
INVESTING IN CRYPTOCURRENCYES: BITCOIN - “RAT POISON” OR NEW ASSET CLASS?

Although the world of finance has been existing for only ten years, the fact is that Bitcoin (BTC) has unstoppably triggered significant changes in the global financial market and has opened up numerous controversies. There is debate over whether BTC could become a new global currency that will not be subject to inflation or central bank influence. At the same time, decentralization and lack of regulations, which were considered a major asset, were characterized as the main cause of the high volatility of BTC, whose price depends solely on the supply-demand ratio. Like every time, when it comes to revolutionary technologies and issues of their impact on the world of finance, the public is divided, this time into BTC pessimists and BTC optimists. The former claim that BTC is broken and will suffer an inevitable and spectacular collapse, calling it "rat poison". However, optimists are of the view that the BTC era is just beginning and that it will change its payment method, economy and even politics around the world, and they consider it a new asset class worth investing in. In the midst of all these discussions around BTC, there seems to be no topic that is more media-covered, but less discovered. The aim of this paper is to come to the truth by analyzing recent scientific papers dealing with this issue, that is, to try to answer the research question: is BTC a "rat poison" or a new asset class worth investing in?
Decision Support System for Online Learning Media Selection During the Pandemic Period

Online learning media is one of the uses of technology in the form of software. During the COVID-19 pandemic, the government issued a policy for distance learning, so to facilitate the teaching and learning process between teachers and students who are in different places, online learning media are needed that can be used by educators or students. For this reason, researchers conducted research on online learning media. Alternatives used by researchers include google classroom, zoom free, google meeting free, and WhatsApp group. The criteria used by the researcher are easy to access, according to purpose, time limit for access, interactivity. The method used is the SAW (Simple Additive Weighting) method. This method is a method for calculating the weights of the criteria and alternatives so that the final weight of each alternative is obtained so that it is known which alternative has the highest value weight that can be recommended to decision makers. From the research results obtained WhatsApp group with a weight of 0.75, google classroom with a weight of 0.74, google meeting free with a weight of 0.67, zoom free with a weight of 0.55. It is necessary to do further research using different methods or combining several methods so that the research conducted by this researcher is not the end of research with the same discussion.
CNLP-NITS @ LongSumm 2021: TextRank Variant for Generating Long Summaries

The huge influx of published papers in the field of machine learning makes the task of summarization of scholarly documents vital, not just to eliminate the redundancy but also to provide a complete and satisfying crux of the content.We participated in LongSumm 2021: The 2 nd Shared Task on Generating Long Summaries for scientific documents, where the task is to generate long summaries for scientific papers provided by the organizers.This paper discusses our extractive summarization approach to solve the task.We used TextRank algorithm with the BM25 score as a similarity function.Even after being a graph-based ranking algorithm that does not require any learning, Tex-tRank produced pretty decent results with minimal compute power and time.We attained 3 rd rank according to ROUGE-1 scores (0.5131 for F-measure and 0.5271 for recall) and performed decently as shown by the ROUGE-2 scores.
DIDACTIC MEANS OF DISTANCE LEARNING – PROBLEMS AND PERSPECTIVES

The article describes the current state of distance education in Kazakhstan and the world, as well as analyzes the difficulties of the modern period of development of the distance education system. The purpose of the article is to develop recommendations for the development of didactic means of distance education and digital educational resources. The authors identify financial, technical, legal, methodological problems of the development of distance education, the problems of training teachers for the development of electronic didactic tools. Based on an analysis of the scientific and pedagogical literature and a generalization of experience with electronic textbooks, digital educational resources, and MOOCs, a three-part structure for the development of didactic units - classes in digital format: video, a short text of the training material, and practical tasks is proposed. The design of digital educational resources is based on eutagogical foundations, the theory of programmed learning, connectivity, actor-network theory, rhizomatic pedagogy and other latest achievements of digital didactics. The requirements for electronic and multimedia textbooks and manuals are outlined.
Cultivating leadership in university students through sociocultural activities: analysis and emperical study

Authors examine factors, psychological and pedagogical conditions, objective and subjective factors for student leadership development. Main methods and techniques for cultivating student leadership have been identified. These are interactive methods, case studies, masterclasses, formative techniques, innovative techniques, educational techniques. The article presents an empirical study of student leadership levels in the Astrakhan State University and the Astrakhan State Medical University. To meet the objectives, mathematical-statistical data-processing methods were applied, including calculation of descriptive statistics, the Kolmogorov-Smirnov one-sample test, the Student’s test for dependent and independent samples, the Mann-Whitney test, the Wilcoxon test. The main results of the experiment are that the students’ leadership level in the experimental group has changed as a result of the students’ participation in business games, teamwork, role plays, discussions, engagement in the university public activities, and through students’ enriching their own leadership experience via extracurricular activities. Summing up the results, we consider it necessary to note the following: the complexity of the leadership phenomenon, and the multivariety of its components, factors, and conditions of its dynamics, require to select methods for each of its components separately.