Reviewerly/exHarmony huggingface dataset:
Actual issues of technological determinism concept in a mirror of cultural critic

Purpose of the Article. The article reveals the fundamental approaches to clarifying the “technology” concept, which is common in cultural, art history, and philosophical literature on this topic. The level of scientific development of the concepts of “technophilia”, “technophobia”, “determinism” is investigated and the influence of technical progress on the formation of art and culture, in general, is clarified. The methodology is based on an integrated approach and relies on general scientific and specific scientific methods: analytical – for considering philosophical, art history, cultural studies literature on the research topic; historical – for tracing the evolution of technology penetration into cultural and artistic practice, conceptual – for analyzing the concept of “technology” and clarifying the main concepts considered. The scientific novelty of the article lies in the fact that for the first time the role of technology in the course of the cultural development of mankind through the prism of a deterministic concept is played. Conclusions. The technology is conditioned by social requirements and introduced for the further development of the cultural development of mankind. This means that the concepts of technological and social determinism, although they are fundamentally different, are reciprocal, inalienable positions. If technology is transformed, the result of the production process changes accordingly. Consequently, technology and culture are not neutral, when technology is applied, it becomes involved in social processes. Knowledge of how to create and improve technologies, as well as how to use them, is socially connected. Any production process that is technologically thought out and organized (in particular, in a mechanical and electronic way) requires less human effort to obtain the desired result than one that requires manual work.
COMPUTER ANIMATION IN 7TH GRADE ALGEBRA LESSONS: RESULTS OF EXPERIMENTAL WORK

Statement of the problem. The article deals with the problem of visualization in teaching mathematics using animated drawings. The purpose of the article is to present the analysis of the experimental work on computer animation in the GeoGebra environment as a means of improving mathematical education at school. Research methodology. The methodological foundations of the research include activity-based, informational and visual approaches to teaching mathematics, a synthesis of the author’s work experience in testing computer animation at school. Research results. The results of the experimental work confirmed the expediency of using computer animation in the process of teaching algebra in the 7th grade (educational activity of students increased, as well as interest in research work and quality of mastering mathematical knowledge and skills). Conclusion. The use of computer animation in math lessons at school increases the level of understanding and assimilation of mathematical knowledge by providing clear illustrations of mathematical concepts and statements. The analysis of experimental work using the animation capabilities of computer environments shows an increase in the technological equipment of modern mathematics teachers, which help them achieve higher educational results.
PTML Artificial Neural Network Chemoinformatics classification model for enantioselective reactions.

Machine Learning (ML) is used to learn a system. One of the purposes of this automatic learning is the construction of new computational models. ML shows success in various areas such as reference systems, brain-computer interface, robotics, and chemistry. Recently, Perturbation Theory (PT) operators and ML techniques have been combined to create powerful PTML (PT+ML) models, which are applied to complex biological systems in predicting drug-protein interaction. As for those target proteins involved in the dopamine pathway, nanotechnology, material science, etc. The PTML models add the values ​​of the operators to the values ​​of . Therefore, we need to calculate the values ​​of the PTOs (Perturbation Theory Operators) in the data processing step. This allows us to carry out a process of merging information with variables and conditions from different sources. Moving Averages (MA), multi-condition MA (MMA), double MA, covariance operators, etc., are some examples of useful PTOs. Then, we can use Multiple Linear Regression (MLR), Linear Discriminant Analysis (LDA), or other linear ML techniques to find the PTML model. In non-linear cases, we can fit PTML models using Artificial Neural Networks (ANN), Support Vector Machines (SVM), Classification Trees, and other ML methods. One of the important applications of ANN is found in the study of chemical reactions as an alternative to classical regression and classification techniques. Therefore, in this master's thesis, PTML-ANN models are developed with the intention of visualizing possible improvements in classical techniques. In this context, this term is presented in a generic way. ANNs are inspired by the biological neural networks of the human brain. They are made up of elements that behave in a similar way to the biological neuron in its most common functions. The ANN aside from "resembling" the brain present a series of characteristics of the brain. For example, ANNs learn from experience, generalize from previous examples to new examples, and abstract the main characteristics of a data series. With which these networks function as interconnected neurons that create stimuli. ANN-type network is considered to be a complex biomolecular network consisting of nodes and edges. These networks are formed by "neurons", where each of them is a function, which will take a certain amount of data and provide an output response. The ANN presents three different types of functions which are: &bull; Input function: It is the sum function obtained by multiplying the input and output data by their weights. &bull; Excitation or activation function: This will take as previous input / output data. The most common types of functions depending on the input / output will be the threshold (sigmoid) or hyperbolic tangent. &bull; Transfer functions: It is the function used to close. The value provided by the trigger functions is the input to the ANN network.
PROBLEMS AND CONTRADICTIONS OF DISTANSE LEARNING IN HIGHER EDICATION

This aticle deals with problems of distance learning in the national universities. The basic pedagogical problems of distance learning. Dedicated pedagogical problems that arise in the implementationof information and communication technologies in the educational process and the organization of pedagogical training system. A number of tasks are presented that require immediate solutions to optimize the use of information and communication technologies in the education system, both in a single educational organization and in the education system as a whole. Some options for solving the problems of distance education are proposed. The necessity of creating an institute of tutoring, as well as the main differences between the teacher of the traditional educational process and the tutor are considered.
Technology Development Recommendations of Artificial Intelligence used in Library

The library is a place to read books with various collections so that readers can get various sources of knowledge. But in this technological era, people want things that are more practical. With the presence of Artificial intelligence, it can be applied and integrated into the library system. A common problem when readers come to the library is to look for literature according to their choice, both in terms of the name, image, type, and form of the literature. Artificial intelligence can help in searching literature based on recommendations and ratings, so readers don't have to bother looking for the desired literature one by one from the available bookshelves. This certainly makes it easier for readers to search for literature, especially those who are confused about where to look. The recommendation system used is the recommendation method, where the method is a method that combines Filtering and Ranking. This research is intended so that readers who are in the library can easily and quickly search for their literature.
ESPER 2, an improvised oscilloscope music set

Musical work for the Dossier “A quarter of century of Pd: past, present and future” [note by editor]
Machine Translation in Low Resource Setting

AI now and in future will have to grapple continuously with the problem of low resource.AI will increasingly be ML intensive.But ML needs data often with annotation.However, annotation is costly.Over the years, through work on multiple problems, we have developed insight into how to do language processing in low resource setting.Following 6 methods-individually and in combination-seem to be the way forward:
COMPUTER VISION BASED TRAFFIC RULE BREACH DETECTION

This paper is about the detection of traffic rule breach via computer vision which takes the feed from the traffic surveillance system, processes the video feed, detects the breach and alerts the traffic police. The number of traffic accidents is on the rise with the increasing number of vehicles. Traffic breach is the biggest cause of accidents. So, to mitigate this problem our system processes the CCTV camera feed in real-time, detects the traffic rule breach events and sends the push notification to the android based application of the traffic police stationed nearby; so, further actions can be taken. As this system detects breach faster than humans, the concerned authoritarian department will be at ease in implementing safe roads accurately. This system acts as an add-on to the current video surveillance system rather than building new infrastructure. Thus, the output of this system can be used not only or safety and security purposes but as well as for analytical purposes with effective traffic monitoring at a lower cost. Hence, this system aids law enforcement agencies in implementing road safety efficiently and effectively ensuring smooth traffic flow.
Text Channels to Identify and Forestall Hostile Hindi Substances via Online Media

Individual to individual correspondence objections are very renowned these days. With over 70% of the general population using relational connection objections satisfactorily in India, Hindi correspondence is the most notable. More than 80% of Indians use Hindi as a technique for correspondence. Websites like Facebook, Twitter, Linkedin, Instagram and WhatsApp have been utilized by people and particularly by teens today. Through individuals-to-individuals like Twitter, Facebook, and so on, the sound of content is shared. Finally, these structures ended up being more many-sided in addressing the necessities of customers to look at their step by step undertakings, feelings and evaluations by posting clear (information) with their associates. Reliably, huge data is shared at different levels of online media. In this article, we will present and discuss thoroughly the execution of message channels for the Hindi language to recognize and prevent harsh substances in relational associations.
SCIENTIFIC AND EDUCATIONAL ACTIVITY OF LIBRARIES AS A CRITERION OF LIBRARY REFORM

Objective. The article examines the legislation of Ukraine in the framework of library reform. It is noted that in the presence of all changes and additions, the wording of the Law of Ukraine "On Libraries and Library Affairs" of 2021 regulates the activities of mostly public libraries. The peculiarities of the activity of libraries of higher educational institutions (HEI) are not reflected in the law. Methods. The methodological basis of the study were: general methods of thinking; general scientific and interdisciplinary methods. We can also distinguish: analysis and synthesis, abstraction, formalization and dialectical, as a general scientific method of cognition. Results. An example of a legal conflict regarding the legitimacy to use the status of a research and educational worker by the director of a University library is analyzed in detail. The study proves that libraries of higher education institutions are not obliged to conduct research and educational activities. However, in the absence of scientific lectures, workshops, and research, the library is reduced to the level of a subdivision of the HEI, whose activities are aimed only at providing information on scientific and educational activities of teachers and students. Conclusions. On the example of the Scientific Library of Ivan Franko National University of Lviv, known in Ukraine and abroad for its scientific lectures, art projects, research and explorations, the relevance and importance of conducting scientific and educational activities by Scientific Libraries of the HEI is shown.
Information transmission between bitcoin derivatives and spot markets: high-frequency causality analysis with Fourier approximation

This paper examines information transmission between Bitcoin derivatives and spot exchanges using 15-minutes interval data over May 2016 - September 2020. We employ a novel econometric framework with Fourier approximation, taking structural shifts in causal linkages, on the prices, returns, and volatilities of BitMEX, the derivatives market, and five other major spot exchanges, Coinbase, Bitstamp, Kraken, CEX.io, and Poloniex. Overall, the results provide robust evidence of information flow between the derivatives and spot exchanges, implying the markets react to new information simultaneously. The results are of importance for investors conducting portfolio allocation exercises and risk management strategies.
PRINCIPAL'S PERCEPTIONS OF STUDENTS' USE OF BORN BY PISA 2018

The main objective of this study is to answer the following questions. Is there a relationship between the principal's perception of the use of liquor by students with sports teams, school drama / music groups, and band / choir groups based on PISA 2018. The research method used is quantitative method. The data in this study uses PISA 2018 data that has been released to the public and has been permitted to be used for research development purposes. The population of this study were principals in schools where 15-year-old students were studying in 2018, while the sample was principals in schools where 15-year-old students took PISA tests in 80 countries. The reason for choosing the sample was the principal in the school where the student was taking the 2018 PISA test. The data in this study were in the form of a questionnaire that was answered by principals in 80 countries, namely 20811 principals from 80 countries. Based on the results of the multiple regression analysis, the results show that there is a relationship between the principal's perception of the use of alcohol by students with sports teams, school drama / music groups, and band / choir groups based on PISA 2018 (P &lt;0.000). The reliability of the instrument is 1.00 higher than the reliability of the person = 0.04. The conclusion is that statistically there is a relationship between the principal's perception of the use of alcohol by students with sports teams, school drama / music groups, and band / choir groups based on PISA 2018. These results indicate that the lower the use of alcohol and drugs in students at school, the more successful the school sports team, school drama/music group, and school band/choir group or vice versa.
Dyslexia – Have We Got the Teaching Right?

Teachers and carers of all pre-school children should have had, in their training, input which has provided them with a good knowledge and understanding of general development. In addition, they should have been taught how to observe and record anything which may be considered unusual or enigmatic for whatever reason. Dyslexic children have very poor auditory sequential memories and instructions are quickly forgotten. Teachers must remember that dictionaries are meant for the meanings and pronunciation of words, not to find an unknown spelling. It is necessary to know accurately the first three letters of a word before a child has any chance of finding it in a dictionary. Flowing writing follows naturally on from scribbling movements, a fact which can be harnessed to beneficial effect immediately the child enters school. Methods used successfully with dyslexic learners are also appropriate for many other young learners.
The Concepts of Aggressive Information Impact through the Lens of Internet Users’ Worldview Security

This article is devoted to the forensic analysis of the factors (cyberthreats) determining a negative information impact on recipients’ worldview in the Internet environment (changes in values, emotional perceptions, and expressions of will, etc.). Findings are founded on the concepts of deviant and delinquent speech behavior, the authors also outline definitions of criminogenic, aggressive, destructive, harmful, conflictogenic, and discrediting (defamatory) information and define the semantic field ‘destructiveness of information impact’. The research is based on an interdisciplinary legal and linguistic approach and uses methodology of information law (cyberlaw) and forensic speech science (forensic linguistics) for integral examination of aggressive information products (that are threatening worldview security of Internet communication) in several ways: 1) as speech actions related to law violations (verbal components that reflect actus reus of crimes, administrative offences, and civil torts); 2) as a result of communication activity; 3) as a source of forensically valuable information. The article covers such worldview security threats as defamation; libel; insult; propaganda of drugs, pornography, gambling, violence and cruelty, murder, autodestructiveness (including suicide), extremism (including terrorism); cyberbullicide; cybersuicide; cybergrooming; sexting; sex blackmail; doxing; outing; faking; astroturfing; cybertrolling; flaming; cyberbullying; cybermobbing; harassment; impersonation; exclusion (ostracism); stigmatization; cyberstalking; threats; hating; ‘happy slapping’, etc. The authors formulated the list of offenses, entailing the commitment of criminogenic and conflictogenic speech actions (in accordance with the current Russian civil, administrative and criminal legislation), as well as the list of types of information prohibited or restricted in distribution as harmful to the health and development of children (according to the current Russian legislation) are of urgent applied significance
Training of Doctors of Philosophy in the Kyrgyz Republic in the Context of Modern Trends

The paper deals with the problems of implementing the training of Doctors of Philosophy in higher education institutions of the Kyrgyz Republic (KR) in the context of modern trends. A study was conducted to investigate the readiness of teachers, master's, and bachelor students to implement the PhD programme in pedagogical areas in higher education institutions of the Kyrgyz Republic. The essence of the research of the scientific project is to determine the features of scientific and methodological support for the training of Doctors of Philosophy (PhD) in pedagogical areas and to develop ways to train Doctors of Philosophy in pedagogical areas in the educational process of the university. A questionnaire was developed to study the issues of preparing a PhD programme in pedagogical areas. It is necessary to create a domestic equivalent of the training of PhD in the field of "Pedagogy" while maintaining the existing experience of training scientific and pedagogical personnel, which meets the requirements of synchronisation of educational programmes.
Adaptive edge-preserving denoising algorithm based on anisotropic diffusion model

Digital image quality is disturbed by noise to some extent. Researchers proposed a series of wavelet transform, non-local mean, and partial differential equation denoising algorithms to obtain high-quality images for subsequent research. Removing noise and preserving the edges and details of the image has attracted wide publicity. Methods based on anisotropic diffusion models have recently gained popularity, but these lead to over-smooth the image details. In this paper, we propose an improved denoising algorithm based on the anisotropic diffusion model. Our method further modifies the diffusion coefficient of the denoising model based on fractional differential operator and Gauss curvature (FDOGC). We use the edge-preserving characteristic of bilateral filtering to recover the image texture and adjust the diffusion coefficient given the characteristics of local variance. To balance the performance of denoising and edge-preserving, we add a regularization term to the diffusion model. We conduct ablation studies to verify the effectiveness of the innovation points. Our method can adjust the counterpoise between noise removal and edge preservation. Extensive experiments on public standard datasets indicate the superiority of our algorithm, in terms of not only quantitative and qualitative evaluation but also better visual effects.
Jack of all trades with a master’s degree. Review of the book “Obrazovatel’naya model’ svobodnykh iskusstv i nauk. Mirovoi i rossiiskii opyt” [Educational Model of Liberal Arts and Sciences. World and Russian experience]

Today when the remnants of a political system based on liberal values is finally breaking down all over the world and the values themselves are being subjected to purposeful profanation and relativization, an educational model based on academical freedom and development of a truly Renaissance breadth of scientific horizons – i. e. principles one would least expect to flourish in with the atmosphere of the forthcoming digital concentration camp – is gaining popularity with the pace none could have expected.. At least this is what the authors of the book in question are trying to convince us of. But despite all their efforts, reality – that is, who and why needs to rebuild the higher education system according to the model of the liberal arts and sciences – transpires before the attentive reader in all its inhuman pragmatism.
Accompaniment in Creating Web-Based Learning Material Resources for English Teachers

The objective of this paper is to describe on how to assist the English Teachers in creating web-based learning material. There are three main steps in this community service project; preparation, implementation and evaluation. The recipients of this community service project were English teachers in Siabu District, from Primary School teachers, First Level Secondary School teachers, to Upper Secondary School teachers who were officially invited through the Head of Education of Siabu District. From this community service activities, activist found that this community service activity has a positive impact on the progress of education in the district of Siabu and also to the State of Indonesia globally. Therefore, this kind of project is suggested to be implemented in many areas in Indonesia.
Mass Detection Using the Zernike Moments and Fast Fourier Transform (FFT) of Convex Mass Shapes on Mammogram Images

In this study, mass detection application is developed for mammograms from Zernike moments and Fast Fourier Transform (FFT) of convex mass boundary. During the development of the application, the Mammographic Image Analysis Society (MIAS) database, which is available to the researchers, is used. The MIAS database contains 322, 1024x1024 pixel resolution images of normal, benign, and malignant cancer. In the first phase of the study, noise reduction and image enhancement process is performed on the images. The pectoral muscles, which have similar features as region of interests (ROIs) are decomposed. After the decomposition process, images are enhanced by contrast to clarify ROIs. From ROIs, Zernike moments and FFT of convex mass boundary are calculated and feature vectors are obtained for each image. The new feature vector of each image was divided into training and test sets, and the labels of the test set were obtained with 100% accuracy.