Reviewerly/exHarmony huggingface dataset:
Smart library services: Trends, opportunities and challenges for school library professionals during the pandemic

The whole world is facing an unforeseen crisis due to the COVID 19 pandemic.The education sector too is not free from its impact.School library professionals faced unpredicted challenges during this time.As physical learning in schools came to a stand-still, teaching-learning process moved from classrooms to personal spaces.As education became deranged, some schools provided access to remote learning via internet and other technological tools.But technological and socio-economic barriers made online education an uncharted territory for a good number of schools in our country.Most of the library professionals rose to the occasion.Working in a quick pace, providing all available resources to support both teachers and students, technology became a saviour to librarians in every nook and corner of our country.This study mainly focused on those who have not compromised with challenges posed by the pandemic.The paper presents an outline of the significant makeover that happened to school libraries and how school librarians, with the help of various technological tools provided a virtual support to their patrons in an excellent manner.The paper tries to suggest some possible solutions on how to provide more efficient library service in future.
Image Encryption Enabling Chaotic Ergodicity with Logistic and Sine Map

Chaotic systems with complicated characteristics of ergodicity, impredictability as well as sensitivity to beginning stages are commonly utilized in the world of cryptography.A 2D logistic-adjusted-sine (LS) map is implemented in this article.Performance assessments reveal superior ergodicity as well as unpredictable and even a broader spectrum of chaotics than numerous previous chaotic maps.This research also develops a 2D-LS-based image encryption system and proposed LS-IES.The notion of diffusion as well as confusion is properly complied with enabled encryption functions.Research outcomes as well as security analyses demonstrate that LS-IES can swiftly encrypting different parameters in various images with a great resistance towards security threats.
Introduction to Cleaner Production in Jeans SME at Jeans Center of Surobayan,Wonopringgo,Pekalongan Regency of Indonesia

The development of the jeans industry in Pekalongan Regency is very rapid, due to being one of the convection centres in Central Java.One of the jeans centres is reported to be located at Surobayan, Wonopringgo, Pekalongan Regency.Prior to 2019 , the condition of the jeans centre in Pekalongan Regency developed naturally.Based on t he labour adsorption ability, the jeans convection industry ranks second after batik crafts.Also, this industry is reported to have potentials in creating more than 1680 labour in Surabayan, Wonopringgo, Pekalongan Regency.Based on improving the economic, social, and environmental performance of Jeans Centre at Surabayan, the implementation of clean sustainable production tools and minimization of liquid waste disposal through the (3R) pattern, is carried out.The production of the convection industry is in the form of jeans as well as pants for both adults and children.Also, the production capacity of each jeans convection craftsman per month, is observed to be ranging from 300 to 1200 scores.Based on implementing a sustainable clean production, the company has to take several steps, which includes identifying the causes of inefficiency, analyzing societal symptoms and impacts, determining the necessary stages for improving environmental management, as well as integrating and evaluating them (the stages) into the company's organizational structure.
Two Forms of Responsibility in Strategic Games

The paper studies two forms of responsibility, seeing to it and being blamable, in the setting of strategic games with imperfect information. The paper shows that being blamable is definable through seeing to it, but not the other way around. In addition, it proposes a bimodal logical system that describes the interplay between the seeing to it modality and the individual knowledge modality.
Comparative Analysis of Consensus Algorithms in Blockchain Networks

Since 2009, with the invention of Bitcoin, the usage of blockchain technology is constantly increasing.From its initial financial use case, blockchain as a decentralized data storage system has grown to an entirely new information ecosystem and has been successfully applied in a wide range of applications in other industrial sectors, outside of finance.Given that the data is decentralized, the computer nodes participating in the network are in charge of adding new data to the blockchain, the authenticity of which is determined by consensus algorithms as a mechanism for maintaining data integrity.Bearing that in mind, consensus algorithms and their application are crucial for the reliability and data security in a blockchain.The aim of this paper is to perform an analysis of currently most used consensus algorithms, as well as their impact on key blockchain attributes.
SYSTEM METHOD IN DESIGN: FORMATION OF THE RUSSIAN VERSION

Показан генезис системного подхода в российском дизайне. Проанализированы идеи Г. П. Щедровицкого, Д. Азрикана, К. Кантора и других представителей ВНИИТЭ. Выделены две ветви системного подхода - системный взгляд на процесс проектирования (из которого сегодня эволюционируют идеи дизайн-мышления) и представление о проектируемом объекте как системе. The genesis of the systematic approach in Russian design is shown. The ideas of GP Shchedrovitsky, D. Azrikan, K. Kantor and other representatives of VNIITE are analyzed. Two branches of the systemic approach are identified - a systemic view of the design process (from which the ideas of design thinking evolve today) and the idea of a projected object as a system.
Computing nature – reality or metaphor? DISCUSSION ON THE I. MIKHAILOV’S PAPER “COMPUTATIONAL APPROACH TO SOCIAL KNOWLEDGE”

The article critically evaluates the computational approach and its application to living beings and social organization. Arguments are put forward according to which the cognitive potential of more traditional approaches to these subject areas – at least at the present time – is far from a state of exhaustion, and the computational approach is unable to create an alternative to them. This leads to the idea that the naturalization of the concept of computation in relation to such systems should be treated only as a metaphor.
Legal principles of countering hate speech: a retrospective review and analysis of perspectives

The article reflects the retrospective review of Ukrainian legislation and an analysis of the prospects of the lawmaking process on countering hate speech, including in the media space. Criteria for the hate speech and other non-criminal criminal qualification, which entail legal liability or without one, are presented. The conclusions are drawn from the European practice of classifying hate crimes. It has been established that the basis of legislation to combat hate speech should be recognition of the highest social value of a person, regardless of those features that make him or her unlike any other. The problems of new draft laws aimed at counteracting hate speech in the media space have been identified.
Voice Feature Extraction for Gender and Emotion Recognition

Voice recognition plays a key role in spoken communication that helps to identify the emotions of a person that reflects in the voice. Gender classification through speech is a widely used Human Computer Interaction (HCI) as it is not easy to identify gender by computer. This led to the development of a model for “Voice feature extraction for Emotion and Gender Recognition”. The speech signal consists of semantic information, speaker information (gender, age, emotional state), accompanied by noise. Females and males have different voice characteristics due to their acoustical and perceptual differences along with a variety of emotions which convey their own unique perceptions. In order to explore this area, feature extraction requires pre- processing of data, which is necessary for increasing the accuracy. The proposed model follows steps such as data extraction, pre- processing using Voice Activity Detector (VAD), feature extraction using Mel-Frequency Cepstral Coefficient (MFCC), feature reduction by Principal Component Analysis (PCA) and Support Vector Machine (SVM) classifier. The proposed combination of techniques produced better results which can be useful in the healthcare sector, virtual assistants, security purposes and other fields related to the Human Machine Interaction domain.
EFEKTIVITAS MEDIA PEMBELAJARAN AUDIO VISUAL DALAM PEMBELAJARAN TEKS NARASI HASIL WAWANCARA DI SEKOLAH MENENGAH PERTAMA

This Class Action Research aims at : (1) improving quality of learning process on writing narrative text of interview result through the application of Discovery Learning with audio visual media and (2) improving the result of writing skills on narrative text of interview result through the application of discovery learning with audio visual media. This research conducted in two cycles each of which The data of this research are in the form of lesson plan, photos, results, students writing fieldnotes , list of values, and the results of the interview. The sources of the data include: the places and events, informants and documents. The technique of collecting data through observation/observation, review of documents, tests and interviews. Data validity has done through sources of data triangulation and method triangulation. Data analysis technique are using descriptive comparative and critic analysis. The result of the research showed that Discovery Learning models and audio visual media could improve students’ quality of learning process and writing skills on narrative text of interview from Cycle I to Cycle II. Those could be seen from (1) significant improvement of studens’ quality of learning process from cycle to cycle; (2) improvement of average of students’ score, from 54% in pre-cycle to 68% in Cycle I and 89% in Cylce II. The most effective steps of teaching-learning of writing skills on narrative text of interview result through the application of discovery learning with audio visual media were: (1) teacher grouped student in a small group; (2) teacher instructional video displays relating to the material; (3) students changed the text of the interview into a narrative text; (4) students transformed direct sentences into indirect sentences; (5) students create narrative framework; and (6) students individually writing narrative text of interview.
Open education courses as a relevant environment for improving professional competencies of teachers

The authors explore the problem of developing an open education course "In search of the national Russian code: educational routes" in this article. The modern approaches to the organization of lifelong postgraduate education are associated with distance technologies. The MOOC development technology for the RFL teachers is described in the article: disciplines of six modules have been formed, aimed at improving the methodological, linguocultural, linguistic, and professional communicative competencies, based on the study of the results of the questionnaire survey of future students of the courses, as well as the decomposition of professional competence. The results of this study can be used in developing an educational environment for advanced training courses.
The instrinsic stable normal cone

We construct an analog of the intrinsic normal cone of Behrend-Fantechi in the setting of motivic stable homotopy theory.A perfect obstruction theory gives rise to a virtual fundamental class in E-cohomology for any motivic cohomology theory E; this includes the oriented Chow groups of Barge-Morel and Fasel.
NetCausality: A time-delayed neural network tool for causality detection and analysis

The analysis of causality between systems is still an important research activity, which finds application in several fields of science. The software presented is a new tool for causality detection and analysis between time series. The proposed technique is based on time-delayed neural networks (TDNN). The tool is developed in MATLAB and it comprises three main functions. The first one returns the total causality between two or more systems of equations. The second tool is used to find the “time horizon”, id est the time delay at which the influence between the systems occurs. The last function is a causality feature detection to determine the time intervals, in which the mutual coupling is sufficiently strong to have a real influence on the target.
FEATURES OF ONLINE LECTURES

The purpose of the article is to determine the features of video lecturing and pinpoint opportunities to improve presenting of theoretical material online. The relevance of the study is caused by the lack of experience of the majority of Ukrainian lecturers in teaching by video conferences before 2020. Insufficient covering of this issue emphasizes the urgency of the publication. To achieve our goal, the following tasks were set: to consider the main differences between online lecturing and in-class lectures and other ways of distance teaching; to generalize the main problems of students and teachers arising during online lectures; to propose the ways to solve those problems and describe the possibilities of using the advantages of online lectures. To achieve the set goal, the following methods were used in the paper: abstract, logical and comparative analysis, survey, expert evaluation, monographic, analysis and synthesis, dialectic, tabular and graphic. To study the students’ opinions concerning online lectures in March-April 2021, the anonymous survey of full-time students studying at the Faculty of Accounting and Finance of Poltava State Agrarian University was conducted. 69.7% of respondents consider this format either better or not worse than in-class lessons. The main students’ problems that appeared during online lectures were the technical ones: (the absence or low quality of Internet and hardware) and the lack of face-to-face communication. It is proposed for the educational establishment to choose the single software product for video lecturing; to make records of video lectures with their further promulgation on the platform determined by the university; for the lecturing professor to create a friendly atmosphere; to introduce the obligatory revision of the students’ notes; to ensure the opportunity for students to ask questions to the lecturer; to promote active use of interactive lecture to ensure activate participation of the students (in particular, the lectures with previously planned errors, binary lectures, and lectures-conferences).
Academic Management System Integration Of Private Universities

The Academic Management System of Higher Education is a component of the Institutional Management System of Higher Education, which is concerned with the overall management tools that have been designed and compiled in a systematic and rigorous manner. Nowadays, as technology advances and student generations change, educational institutions are encouraged to continually respond to the use of technology in their service systems. The aim of this thesis is to identify and interpret research results relating to academic management system alignment. A descriptive qualitative approach is used in this research. According to the findings of the study, while universities do have an institutional management scheme in place, its execution is not optimal. Universities do have an Academic Management System in place, but it is not yet fully implemented. The academic Management System also has some elements missing, such as academic calendar scheduling, new student placement, new and old student enrollment, classes, grading, thesis instruction, and graduation.&#x0D; Keywords: Academic Management System, Technology, universities.
Fraudulent credit card transaction detection using soft computing techniques

&lt;p&gt;Nowadays, fraudulent or deceitful activities associated with financial transactions, predominantly using credit cards have been increasing at an alarming rate and are one of the most prevalent activities in finance industries, corporate companies, and other government organizations. It is therefore essential to incorporate a fraud detection system that mainly consists of intelligent fraud detection techniques to keep in view the consumer and clients’ welfare alike. Numerous fraud detection procedures, techniques, and systems in literature have been implemented by employing a myriad of intelligent techniques including algorithms and frameworks to detect fraudulent and deceitful transactions. This paper initially analyses the data through exploratory data analysis and then proposes various classification models that are implemented using intelligent soft computing techniques to predictively classify fraudulent credit card transactions. Classification algorithms such as K-Nearest neighbor (K-NN), decision tree, random forest (RF), and logistic regression (LR) have been implemented to critically evaluate their performances. The proposed model is computationally efficient, light-weight and can be used for credit card fraudulent transaction detection with better accuracy.&lt;/p&gt;
The essential benefits of an enterprise blockchain in business model innovation

Blockchain brings changes and disruptions to the existing business models and therefore deserves further analysis. Accordingly, this study aims to explain the phenomenon of blockchain technology in the business model innovation in the enterprise ecosystem. Empirically, numerous studies have shown that blockchain technology improves organizational performance. This study uses a value system framework to explain the enterprise blockchain phenomenon. Through abductive reasoning, this study uses a multiple-case study to answer the research questions. In sum, this study finds that blockchain technology delivers benefits to organizations in: (i) value capture through increased profitability; (ii) value creation through private partnership; (iii) value delivery through smart contracts; and (iv) value proposition that encourages improving the existing value proposition through operational improvements. Besides, the study also proposes the different types of enterprise blockchain ecosystems: private and consortium. The private ecosystem focuses on improving organizational performance through competition. In contrast, the consortium ecosystem focuses on business value collaboration.
The eARTISTS Media and Information Literacy Model for Managing Access to Quality Information

Information is necessary for eliminating uncertainty and facilitating decision-making. Quality of decisions depends upon the quality of information available to the stakeholders. But to manage access to quality information, information seekers have to depend upon different sources of information, media, and other information providers. Unfortunately, the commercial media is controlled by corporate tycoons, governments, politicians and various non-government organisations (NGOs). These information providers have some motive behind the stories flashed by them. Hence, media and information literacy (MIL) skills are necessary for ascertaining truth behind the story. Earlier, information literacy and media literacy were used as separate concepts but now UNESCO is using (MIL) as a composite concept, appreciating the symbiosis between media and information. This article gives an overview of a few MIL related developments and describes the e-ARTISTS MIL Model developed by Jagtar Singh and Alton Grizzle. Differentiating the e-ARTISTS Model from the Big6 Model and the Empowering 8 Model of Information Literacy, it justifies the need for e-ARTISTS MIL Model for managing timely access to quality information for facilitating quality decision-making.
THE USE OF THEATRICAL ACTIVITIES AS AN EFFECTIVE MEANS OF TEACHING A FOREIGN LANGUAGE IN HIGH SCHOOL

The leading task of modern language policy is to increase the role of aesthetic education of the younger generation. The formation of aesthetic culture in the process of theatrical activities is one of the pressing problems of modern pedagogical science and practice. The purpose of the article is to study the problem of introducing theatrical activities in the process of learning a foreign language in high school. The specifics and content of theatrical activities of students in foreign language lessons are revealed. Scientific novelty. The use of theatrical activities in the process of teaching English is considered by us as one of the most important means of learning, which contributes to the development of natural abilities of students and increase cognitive interest in learning a foreign language. In turn, the improvement of theatrical methods in the educational process of a modern educational institution requires knowledge of theatrical pedagogy teacher and the ability to objectively evaluate their work. The conclusions indicate the feasibility of using elements of theatrical activities in the process of learning a foreign language. Such activities have proved to be an effective means of learning, which creates a special atmosphere in the classroom, makes the process of learning English exciting, fun; causes a further desire to learn a foreign language and improve in it.
Deteksi dan Pengenalan Objek Dengan Model Machine Learning: Model Yolo

Object recognition and detection have been in request by numerous parties since Computer Vision innovation within the 1960s, both within the industrial and medical area. Since then, many studies have focused on object recognition and detection with various types of algorithm models that can recognize and detect objects in an image. However, not all of these algorithm models are efficient and effective in their application. Most of the previous algorithm models have a relatively high level of complexity. Here, the author tries to explain and introduce the YOLO (You only look once) algorithm model, which has a high enough image detection processing speed capability and accuracy that can compete with the previous algorithm models. There are several advantages and disadvantages of each version made, which are explained in the discussion section.
Empirical Study of Test Case and Test Framework Presence in Public Projects on GitHub

Automated tests are often considered an indicator of project quality. In this paper, we performed a large analysis of 6.3 M public GitHub projects using Java as the primary programming language. We created an overview of tests occurrence in publicly available GitHub projects and the use of test frameworks in them. The results showed that 52% of the projects contain at least one test case. However, there is a large number of example tests that do not represent relevant production code testing. It was also found that there is only a poor correlation between the number of the word “test” in different parts of the project (e.g., file paths, file name, file content, etc.) and the number of test cases, creation date, date of the last commit, number of commits, or number of watchers. Testing framework analysis confirmed that JUnit is the most used testing framework with a 48% share. TestNG, considered the second most popular Java unit testing framework, occurred in only 3% of the projects.