Reviewerly/exHarmony huggingface dataset:
Antitrust forensics: concept and content

Effective investigation of antitrust offenses, including crimes, is an urgent task that requires not only deep scientific justification, but also the development of a set of practical recommendations. Regularities of the mechanism for committing antitrust offenses (including crimes), the occurrence of information about the antitrust offense (crime) and its participants, the collection, research and use of evidence and special means and methods of judicial research and prevention of violations of antitrust laws based on these knowledges at present do not fit into the framework of a private forensic technique. The article includes the definition of the concept of antitrust forensics. Justified the need of developing an independent branch of forensic science — antitrust forensics, which includes the theoretical part, antitrust forensic techniques, antitrust forensic tactics and antitrust forensic techniques.
Design of Long Sentence Split Translation Model based on Support Vector Machine

Aiming at the problem of high translation misalignment rate due to the ambiguity of semantics in statistical translation methods, this paper proposes a long-sentence translation model based on support vector machines. Firstly, the translation words to be disassembled in long sentences are processed, and the semantic registration process based on support vector machine is set up to calculate the utilization rate of different semantic elements in the language evaluation set, which is used as the information label to construct the language evaluation set model. On this basis, the support vector machine analysis factor is calculated, and the support vector machine analysis factor is used as the constraint parameter to extract the feature information of the long sentence decomposing type to construct the translation model. The experimental results show that the model has the lowest inaccuracy rate of 0.01, which proves that the model has accurate translation effect.
A Chilean Educational Initiative to Mitigate the Impact on Mathematics Learning in Grade 1 Students During the Covid-19 Lockdown / Una iniciativa educativa chilena para atenuar el impacto en el aprendizaje de matemática en estudiantes del grado 1 durante el aislamiento social por Covid-19

The social distancing measures that were imposed as a result of the Covid-19 pandemic, led many countries to adopt distance education. In Chile, a group of teachers sought to support children’s education, and with the combined efforts of parents, teachers and administrators took up the challenge of how to help children continue learning in such an adverse environment. To this end, an open-access television program, specifically to support daily math for grade 1 children, was created. The program, which was available on the Internet, comprised fifty-seven video clips based on the official school text and tutor-student interaction. The present paper reports on this initiative and its outcomes.
Research Guides: Teaching and Learning with the Libraries: Streaming Video

Library instruction, services, and resources of interest to faculty and instructors. Subscriptions to streaming video services.
Analyzing the Lexico-Semantic Relationships of Nouns Used in The Saraiki Newspaper: A Corpus Based Study

The current study is an effort to analyze the lexico-semantic relationships of nouns in Saraiki newspaper. Although spoken as a first language by almost 20 million people in Pakistan, Saraiki has a limited Corpus in the form of ijunoonSaraiki dictionary (2017). A functional corpus for Saraiki would be helpful in developing a WordNet through which the digital applications of Saraiki can be run. Of the four open class categories included in the WordNet the present study explores the semantic relations found among the nouns of Saraiki. A corpus of 2 million words was created from the Saraiki newspaper Jhoke after POS tagging a list of 1500 nouns was generated and the nouns were semantically categorized for identifying the lexical relationships among them using machine readable dictionaries. Each lexical and semantic relation was quantitatively analyzed using Antconc 3.5.7. The 3A model of corpus linguistics was used for annotation and analysis of Saraiki nouns (Wallis & Nelson, 2001). The results revealed ten lexico-semantic relationships frequently found among the nouns in the newspaper Jhoke, which are essential for the development of a lexical data base such as WordNet. The lexico-semantic relationship analysis showed that the singular / plural relationship was the most frequent among the Saraiki nouns while, synonymy was the least frequent relationship. Identifying the noun relationships of Saraiki are a step towards the development of a Saraiki WordNet that would support NLP and other digital applications.
MANAGEMENT ACTIVITY OF IP LVOV IN THE POSITION OF HEAD OF THE DEPARTMENT OF PEDAGOGY OF THE CHERNIGIV PEDAGOGICAL INSTITUTE (1952–1958)

The article shows I. P. Lvov, сhairman of the Department for pedagogy of Chernihiv Pedagogical Institute. I. P. Lvov worked as the Head of the Department of Pedagogy from 1952 to 1958. He developed didactic materials on pedagogy, logic and psychology. The curriculum for the second semester was analyzed, where the main tasks were students' educational work, advanced training of teachers and realization of рublic works under the teachers. At the faculty meeting, the lecturers approved the Individual work plans of the members of the department, monitoring the lectures and pedagogical lessons from the point of view of scientific and methodological execution, control over the work of a laboratory assistant, review and approval of the work plan of pedagogical practice of students. I. P. Lviv had intended to purchase a separate room for conducting psychological experiments. Unfortunately, the intention failed for unknown reasons. He controlled the quality of lectures and seminars on pedagogy, lectures on psychology, and reported on the visit by the directorate of the institute and individual members of the chair they reviewed. In 1952, a pedagogical circle was formed at the department of pedagogy. I. P. Lviv was group leader of the circle at one of the meetings read a report "Modern problems of restructuring the science of psychology in the academician I. P. Pavlov". I. P. Lviv appreciated the work of the laboratory assistant of the department of G. P. Svirid, pointing to her faithful discharge of her duties: providing students with educational and recommended literature. The content of the documents of I. P. Lvov on an administrative post was analyzed and he was found that he made some comments in the report at the meeting of the pedagogy department of the Chernihiv Pedagogical Institute, as well as at the meeting of the Institute council concerning the issues that were in the report "On the condition of pedagogical science and eliminating its backlog" on the resolution of I. A. Kairov. In 1955 I. P. Lvov was the head of the commission on State examinations of the correspondence department of the Russian language and literature of the Chernihiv Pedagogical Institute. Analysis of students' answers in pedagogy, according to I. P. Lvov, showed that most were positive answers, but some students had satisfactory grades, they did not possess good material in pedagogy.
Imperative Sentences In The Text of The Report of Observation Results in Indonesian Learning Class X

The observation report is a report made as a form of accountability for the results of observation activities. Reports that are made must comply with predetermined writing principles and systematics. In the Indonesian textbook for grade X, there are imperative sentences in the form of instructions in preparing reports. The imperative sentence has an important role in the report preparation process. With clear instructions, it will produce reports that are correct and in accordance with the provisions. The purpose of this study was to describe imperative sentences in the observation report text in the Indonesian language textbook for class X. With the imperative sentences in the observation report text, students were able to understand and practice making reports on the results of observations. This research is a qualitative descriptive study. The data obtained were sourced from class X Indonesian textbooks and came from an umbrella study, Berliana Permatasari Pratomo. The results of data analysis are presented formally and informally.
Design and Development of Student Activity Record Systems Using the Concept of Reactive Streams in Data Stream Processing

Abstract Student Activity Record System is an elearning module that is used to record student activities in the context of behaviour assessment. Student and teacher sent datas in the form of photos, videos, texts and geolocation coordinates. With the number of requests sent by the user, the load from the server side will continue to gain weight. It requires an efficient way to use the resources on the server side, namely Central Processing Unit and memory. The using of Netty as an asynchronous event driven web server and the reactor libraries as a reactive streams implementation on the server side become the right choice to optimize Central Processing Unit and memory usage. This research emphasizes the design of system architecture and library selection that implements the concept of reactive streams on the client-server side. The reactive streams concept is applied to web dashboard and mobile application so that web and mobile application become more responsive because execution is asynchronous.
A Study on the Emotional Burn-Out of Missionaries and their Recovery Process in other Cultures: with the theories of Herber J. Freudenberger and Christina Maslac

This study presents a diagnosis of burn-out with the theory of Freudenberger’s “excessive achievement motivation” and Maslac’s “emotional exhaustion” and suggests Howkins and Oswald’s theory as a countermeasure. The dropout ratio of Korean missionaries has increased by 40 percent. The research for missionaries’ dropout was conducted in 1996 and 2015, and 200 missionary care centers were opened. Nevertheless, there were no specific solutions. The missionaries’ dedication caused the burn-out due to the lack of a control ability in relationships. The pressure of the mission field has led to a decrease in the accomplishment of missionaries. As a result, the missionaries were willing to leave the people. The study analyzes the missionaries’ burn-out and suggests an alternative solution.
Universal Approximation Theorem for Neural Networks

Is there any theoretical guarantee for the approximation ability of neural networks? The answer to this question is the "Universal Approximation Theorem for Neural Networks". This theorem states that a neural network is dense in a certain function space under an appropriate setting. This paper is a comprehensive explanation of the universal approximation theorem for feedforward neural networks, its approximation rate problem (the relation between the number of intermediate units and the approximation error), and Barron space in Japanese.
Grey Prediction Model of Bearing Capacity of Bridge Construction Support based on Genetic Algorithm

In order to obtain more diversified research results, the genetic algorithm is applied to the research of the gray prediction model of the bearing capacity of the bridge construction support, and a gray prediction model of the bearing capacity of the bridge construction support based on the genetic algorithm is proposed. The finite element software MIDAS/Civil was used to establish a finite element model according to the structure of the bridge construction support structure, and the node rotation stiffness and boundary conditions were simulated. Based on genetic algorithm for the prediction code of the bearing capacity of the bridge construction support, the grey prediction model of the bearing capacity of the bridge construction support is constructed through the bearing capacity prediction software. Through the verification of the support case and the project case, it is proved that the gray prediction model of the bearing capacity of the bridge construction support based on the genetic algorithm can accurately predict the bearing capacity of the bridge construction support.
Diseño de una propuesta metodológica para la gestión del riesgo en bibliotecas universitarias

This work arises from the need to provide university libraries with a practical and up-to-date methodology for managing risk management in information units. In this sense, the project aims to develop a methodological proposal that reflects, initially, the importance and benefits of assuming and developing risk management as an added value of any university library, based on strategic planning. It is intended to be a basis for any information unit that wishes to develop, implement or learn about risk management and control in university libraries. First, the impact of strategic planning on university libraries is presented in order to determine their relationship with risk management. Then, methods, models and practices for risk management in libraries are presented. This is followed by an analysis that identifies the particularities that must be taken into account so that there is comprehensive risk management in university libraries. Finally, a methodological model is proposed that suggests a step-by-step approach to managing, controlling and mitigating risk in university libraries
Meta-Modeling of AI for Software Modularization

Recent developments in artificial intelligence have surprisingly been only on the machine-learning related technologies.This growing trend brings new hardships to the already problematic AI programming sector that looks like a zoo of paradigms.AI is unfortunately full of incompatible technologies that can hardly cooperate in a common multidisciplinary project.These technologies are also under the threat of being abandoned in favor of the emerging machine learning techniques.However, there are many valuable ideas and concepts in the classical AI approaches that can be quite useful in the awaiting challenges of general AI.Such a great endeavor will necessitate everything we know about representing and processing knowledge.Meta-modeling of the AI domain as a whole can bring about model driven development as a glue for the fragmented development efforts.In the long run it also has the capacity to trigger a unification and revival of the art of AI programming around a more structured central paradigm.
제4차 산업혁명관련 기업혁신활동

This is an exploratory study on facilitators, impediments and their priorities of firm innovation activities regarding the Fourth Industrial...
Unit selection synthesis based data augmentation for fixed phrase speaker verification

Data augmentation is commonly used to help build a robust speaker verification system, especially in limited-resource case. However, conventional data augmentation methods usually focus on the diversity of acoustic environment, leaving the lexicon variation neglected. For text dependent speaker verification tasks, it's well-known that preparing training data with the target transcript is the most effectual approach to build a well-performing system, however collecting such data is time-consuming and expensive. In this work, we propose a unit selection synthesis based data augmentation method to leverage the abundant text-independent data resources. In this approach text-independent speeches of each speaker are firstly broke up to speech segments each contains one phone unit. Then segments that contain phonetics in the target transcript are selected to produce a speech with the target transcript by concatenating them in turn. Experiments are carried out on the AISHELL Speaker Verification Challenge 2019 database, the results and analysis shows that our proposed method can boost the system performance significantly.
LIBRARIANS' MATHEMATICAL KNOWLEDGE AS THE FOUNDATION FOR BUILDING UP PROFESSIONAL SKILLS

The article deals with the previously raised issue of the need for fundamental mathematical education in library profession. It was found that the federal state educational standards for “Library and Information Activities” area neither make nor provision for the study of mathematics, nor do they even mention such term. A set of professional tasks that a graduate of training programs should be able to solve is standardized, as well as competencies corresponding to the goals of education were formulated, which should be formed in bachelor’s and master’s skills. A complete list of tasks and skills from the standards is provided that convinces of the need for serious mathematical training of library school students. It is revealed that only at the stage of developing the basic documents of educational and methodological complexes, educational institutions should independently decide the issue of high-quality mathematical training of specialists, without which it is impossible to achieve the required level of their competence upon completion of training. Various approaches to teaching are given, including the author’s experience in teaching mathematics. The content of the taught discipline is revealed, including the concepts of systems and their properties, as well as the composition and maintenance of information systems functioning. Examples of the applying various mathematical models are given, the possibility of studying physical and social processes with their help is explained. Methods for teaching the design of the library and other information systems are described. The author examples of the mathematical apparatus used by students in the process of studying special disciplines and when writing the term and graduation papers.
LibGuides: 3D Printing Guide: Library/LRC 3D Showcase

How to utilize the Learning Resource Center 3D printer. Includes direction on obtaining files for print and the procedures for requesting a print.
IMPROVING PEDAGOGICAL CONDITIONS FOR DEVELOPING A RESPONSIBLE ATTITUDE TO VIRTUAL LEARNING IN FUTURE TEACHERS

In the article the following issues are researched: the implementation of interdisciplinary links between the disciplines in the field of informatization of education with informatics and ICTs, pedagogy, psychology, as well as with the core disciplines for each teacher specialty; the definition of the place of the disciplines in the field of education informatization in the SES HPE for teacher specialties and directions; the realization of consistency and systematicness of university and postgraduate training in the use of ICTs in teaching.
Development of a Methodology for Effective Teaching of the Subject “Data Structure and Algorithms” Through Innovative Master-Trainings

In this article, a methodology for effective teaching of lectures on information technology through master classes has been developed. The selected topic “static and dynamic data structures” of subject of “data structure and algorithms” was used as an example, using the method of “fish skeleton”, which is one of the modern pedagogical technologies. As a result, students gained a deeper understanding of the essence of the topic.
PROBABILISTIC INFERENCE IN BAYESIAN INSURANCE NETWORK

In this paper, the technique to solve the prediction problem of reparation of the financial losses caused by a road traffic accident is solved. Exact inference is represented using the Sum-Product Variable Elimination algorithm, Sum-Product Variable Elimination algorithm for computing conditional probabilities, Max-Product Variable Elimination algorithm for MAP, Max-Sum-Product Variable Elimination algorithm for marginal MAP. Reasoning patterns are presented graphically and descriptively.
Weed on the Chain: Can the German Cannabis Supply Chain Benefit from Blockchain Technology?

This paper outlines challenges for the Cannabis industry in Germany in light of the internationally fast-moving legalisation for medical and recreational use. As handling of active substances in Europe and especially in Germany is strictly regulated, thorough documentation of all supply chain stages is required. We investigate if Blockchain-based solutions can fulfill legal requirements and furthermore provide additional benefits in creation and analysis of bg data. The structural design of a prototype solution is outlined and specified in order to facilitate the use of the technology to enable safe, secure and impeccalbly documented use of the drug in Germany.
Identification of LSB image Steganography using Cover Image Comparisons

Steganography has long been used to counter forensic investigation. This use of steganography as an anti-forensics technique is becoming more widespread. This requires forensic examiners to have additional tools to more effectively detect steganography. In this paper we introduce a new software concept specifically designed to allow the digital forensics professional to clearly identify and attribute instances of LSB image steganography by using the original cover image in side-by-side comparison with a suspected steganographic payload image. This technique is embodied in a software implementation named CounterSteg. The CounterSteg software allows detailed analysis and comparison of both the original cover image and any modified image, using sophisticated bit- and color-channel visual depiction graphics. In certain cases, the steganographic software used for message transmission can be identified by the forensic analysis of LSB and other changes in the payload image. This paper demonstrates usage and typical forensic analysis with eight commonly available steganographic programs. Future work will attempt to automate the typical types of analysis and detection. This is important, as currently there is a steep rise in the use of image LSB steganographic techniques to hide the payload code used by malware and viruses, and for the purposes of data exfiltration. This results because of the fact that the hidden code and/or data can more easily bypass virus and malware signature detection in such a manner as being surreptitiously hidden in an otherwise innocuous image file.
Regular Expressions for Fast-response COVID-19 Text Classification

Text classifiers are at the core of many NLP applications and use a variety of algorithmic approaches and software. This paper introduces infrastructure and methodologies for text classifiers based on large-scale regular expressions. In particular, we describe how Facebook determines if a given piece of text - anything from a hashtag to a post - belongs to a narrow topic such as COVID-19. To fully define a topic and evaluate classifier performance we employ human-guided iterations of keyword discovery, but do not require labeled data. For COVID-19, we build two sets of regular expressions: (1) for 66 languages, with 99% precision and recall &gt;50%, (2) for the 11 most common languages, with precision &gt;90% and recall &gt;90%. Regular expressions enable low-latency queries from multiple platforms. Response to challenges like COVID-19 is fast and so are revisions. Comparisons to a DNN classifier show explainable results, higher precision and recall, and less overfitting. Our learnings can be applied to other narrow-topic classifiers.