Reviewerly/exHarmony huggingface dataset:
Humanization of Criminal Law and Its Role in Preventing Crimes in the Field of Entrepreneurship

Business crime prevention is determined by a free development of business.The lack of security for the property of businessmen and the lack of their personal security is a real problem which slows down business development in the country.There is always a risk of losing business due to the raider attacks and bringing criminal charges against businessmen.The 2010 Concept of modernizing criminal law in the field of business activity, developed under the order of the Russian President, determines these factors as the main reasons preventing entrepreneurs from investing into businesses, promoting capital outflow and as the result -obstacles for legal business activity arise.The goal in this research is to analyze the above reasons and find out the solutions based on humanization of criminal law.The methodological basis of the study is the dialectical materialist method, which studies phenomena in their totality, taking into account interrelations and dependencies.General scientific and special legal research methods, comparative legal and system research methods are used.It is possible to stimulate the return of entrepreneurs to a legal business only by creating legal guarantees for ensuring business within law.Unjustified criminalization, the constant danger of losing a business as a result of criminal charges that impede legitimate business activities, identifies the main directions of criminal policy based on the principles of humanism.The result of humanization is the adoption of criminal law measures that create difficulties for raider seizures of property.There is also a need to establish criminal liability for unlawful initiation of criminal proceedings, if it is committed in order to prevent business activities.The real measure of free business activity is the addition to the Criminal Code of the Russian Federation norms exempting entrepreneurs from criminal liability.The Federal laws adopted on 12/27/2018 create additional real guarantees stimulating business activities within the law.
Gender aspects of manifestation of teaching styles on the background of digitalization of education

The object of this research is the process of transformation of individual characteristics and preferences of the participants of educational process in the conditions of Informatization of education. The subject of this research is the gender-stylistic peculiarities of students and pedagogues in the context of digitalization. Analysis is conducted on the gender aspects of educational process and gender differentiation trends. Special attention is given to the role of information technologies in achieving gender equality and importance of considering students&amp;rsquo; stylistic orientation. The goal of this work is to determine the presence of gender differences and stylistic preferences of educational process participants within the framework of its Informatization and digitalization for development of ways of for considering individual preferences in organization and formation of learning environment. The stylistic profile of respondents was defined in accordance with the model of D. Kolb based on methodology of P. Honey and A. Mumford, adapted by the authors of the article. It included the questions specifying the stylistic orientation of students and pedagogues towards IT sphere. For quantitative assessment of manifestation of teaching styles was applied the method of semantic differential, which allows expressing the degree of agreement/disagreement with the proposed statement. The obtained data give a perspective on the peculiarities of formedness of stylistic preferences in acquisition of knowledge among the pedagogues and students on a gender basis. The more distinct gender differences in the teaching styles are revealed among the pedagogues, and their leveling is noticed among young generation. The dominant teaching styles for the majority of respondents became the ones of theoretical orientation (thinking and theoretical), which can be attributed to the impact of being engaged in IT sphere. The acquired results underline the need to draw attention to the absence of organic development of teaching styles of the students and allow determining further vectors of research &amp;ndash; a comparative analysis of stylistic orientation of the participants of educational process based on age indicators.&amp;nbsp;
Gaussian variant of Freivalds’ algorithm for efficient and reliable matrix product verification

Abstract In this article, we consider the general problem of checking the correctness of matrix multiplication. Given three <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mi>n</m:mi> <m:mo>×</m:mo> <m:mi>n</m:mi> </m:mrow> </m:math> n\times n matrices 𝐴, 𝐵 and 𝐶, the goal is to verify that <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mrow> <m:mi>A</m:mi> <m:mo>×</m:mo> <m:mi>B</m:mi> </m:mrow> <m:mo>=</m:mo> <m:mi>C</m:mi> </m:mrow> </m:math> A\times B=C without carrying out the computationally costly operations of matrix multiplication and comparing the product <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mi>A</m:mi> <m:mo>×</m:mo> <m:mi>B</m:mi> </m:mrow> </m:math> A\times B with 𝐶, term by term. This is especially important when some or all of these matrices are very large, and when the computing environment is prone to soft errors. Here we extend Freivalds’ algorithm to a Gaussian Variant of Freivalds’ Algorithm (GVFA) by projecting the product <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mi>A</m:mi> <m:mo>×</m:mo> <m:mi>B</m:mi> </m:mrow> </m:math> A\times B as well as 𝐶 onto a Gaussian random vector and then comparing the resulting vectors. The computational complexity of GVFA is consistent with that of Freivalds’ algorithm, which is <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mi>O</m:mi> <m:mo>⁢</m:mo> <m:mrow> <m:mo>(</m:mo> <m:msup> <m:mi>n</m:mi> <m:mn>2</m:mn> </m:msup> <m:mo>)</m:mo> </m:mrow> </m:mrow> </m:math> O(n^{2}) . However, unlike Freivalds’ algorithm, whose probability of a false positive is <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msup> <m:mn>2</m:mn> <m:mrow> <m:mo>-</m:mo> <m:mi>k</m:mi> </m:mrow> </m:msup> </m:math> 2^{-k} , where 𝑘 is the number of iterations, our theoretical analysis shows that, when <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mrow> <m:mi>A</m:mi> <m:mo>×</m:mo> <m:mi>B</m:mi> </m:mrow> <m:mo>≠</m:mo> <m:mi>C</m:mi> </m:mrow> </m:math> A\times B\neq C , GVFA produces a false positive on set of inputs of measure zero with exact arithmetic. When we introduce round-off error and floating-point arithmetic into our analysis, we can show that the larger this error, the higher the probability that GVFA avoids false positives. Moreover, by iterating GVFA 𝑘 times, the probability of a false positive decreases as <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msup> <m:mi>p</m:mi> <m:mi>k</m:mi> </m:msup> </m:math> p^{k} , where 𝑝 is a very small value depending on the nature of the fault on the result matrix and the arithmetic system’s floating-point precision. Unlike deterministic algorithms, there do not exist any fault patterns that are completely undetectable with GVFA. Thus GVFA can be used to provide efficient fault tolerance in numerical linear algebra, and it can be efficiently implemented on modern computing architectures. In particular, GVFA can be very efficiently implemented on architectures with hardware support for fused multiply-add operations.
Articulated Object Tracking by High-Speed Monocular RGB Camera

In recent years, tracking of articulated objects at high speed with monocular cameras has been gaining attention. This study presents a novel method for high-frame-rate articulated object tracking with a monocular camera. The method is an extended version of our previous research on high-speed monocular rigid object tracking. In this study, to realize tracking of an articulated object, we integrate dual-quaternion kinematics with our previous fast pixel-wise-posteriors (fast-PWP3D) tracking framework, and propose an auto-regressive (AR) process to encode the dynamic propagation of the estimated state vectors. We give a full three-dimensional derivation of the mathematical formulation of our method and show that our method is capable of tracking an articulated object having a large number of degrees of freedom with only a monocular camera, and is robust against dynamic environmental changes (e.g., illumination/partial occlusion). Moreover, we show an efficient implementation strategy of our method. The results of real-time experiments show that we achieved nearly 350 Hz performance when tracking a four degrees-of-freedom (4-DOF) articulated object with a monocular camera.
ASIAVR: Asian Studies Virtual Reality Game a Learning Tool

Purpose–The study aims to develop an application that will serve as an alternative learning tool for learning Asian Studies. The delivery of lessons into a virtual reality game dependson the pace of students. The developed application comprises several more features that enable users to get valuable information from an immersive environment.Method–The researchers used Rapid Application Development (RAD) in developing the application. It follows phases such as requirement planning, user design, construction, and cutover. Two sets of questionnaires were developed, one for the teachers and another for the students. Then, testing and evaluation were conducted through purposive sampling to select the respondents.Results–The application was overall rated as 3.56 which is verbally interpreted as very good. The result was based on the system evaluation using ISO 9126 in terms of functionality, usability, content, reliability, and performance. 476Conclusion–The developed application meets the objectives to provide an alternative learning tool for learning Asian Studies. The application is well commended and accepted by the end-users to provide an interactive and immersive environment for students to learn at their own pace. Recommendations–Further enhancement of the audio, gameplay, and graphics of the tool. Schools should take into consideration the adoption of the Asian Studies Virtual Reality as a good alternative tool for their teachers and students to teach and learn Asian Studies. The use of more 3D objects relevant to the given information to enhance game experience may be considered.A databank for the quiz questions that will be loaded into the game should also be considered.Research Implications–The integration of modern technology in education has been a vital part of the learning process, especially when technological resources are available. Development and adaptation of this application will promote an alternative way of independent learning among students and will give them a better understanding of Asian Studies at their own pace.
Open-Domain Dialogue Generation Based on Pre-trained Language Models

Pre-trained language models have been successfully used in response generation for open-domain dialogue. Four main frameworks have been proposed: (1) Transformer-ED using Transformer encoder and decoder separately for source and target sentences; (2) Transformer-Dec using Transformer decoder for both source and target sentences; (3) Transformer-MLM using Transformer decoder that applies bi-directional attention on the source side and left-to-right attention on the target side with masked language model objective; and (4) Transformer-AR that uses auto-regressive objective instead. In this study, we compare these frameworks on 3 datasets, and our comparison reveals that the best framework uses bidirectional attention on the source side and does not separate encoder and decoder. We also examine model discrepancy, and our experiments confirm that the performance of a model is directly impacted by the underlying discrepancies. We then propose two correction methods to reduce the discrepancies, and both improve the model performance. These results show that discrepancies is an important factor to consider when we use a pre-trained model, and a reduction in discrepancies can lead to improved performance.
Development Of Mapping Area Software For Dismissal People Affected By Covid-19

The spread of the Covid-19 Virus which has a major impact on various sectors of human life, from health problems that have caused many deaths and also economic impacts.The decline in people's purchasing power has caused the industry to experience a decrease in sales turnover, causing business actors to carry out budget efficiency by terminating employment.In terms of assisting government programs in assisting victims of layoffs, a system for mapping the locations of these victims is needed.In building a mapping system for the location of victims of layoffs using the XP method which is part of agille.The system can display the location area down to the districts level.By using a system of mapping the locations of dismissed communities, it can assist in data collection and distribution of assistance.
Research on Optimization of Static Path Planning Algorithm for UAV Autonomous Flight

Abstract The combination of artificial potential field method (APF) and A* path planning algorithm can optimize the path planning problem in the UAV static map. The artificial potential field method also has shortcomings, especially in avoiding obstacles. The simple A* algorithm takes too long to retrieve. The fusion of the two can improve the effect of obstacle avoidance. This article attempts to improve this fusion method. In this article, we introduce the application of artificial potential field method, A* algorithm and improved A* algorithm in static path planning. Finally, we will compare the artificial potential field method combining A* algorithm and improved A* algorithm.
The Model of Collaborative Terminology Contribution to the Art &amp; Architecture Thesaurus: Application and Improvement of Crowdsourcing Methods in an Educational Context

The paper elaborates the model of collaborative terminology contribution to the Art & Architecture Thesaurus (AAT) through the cooperation of university teachers, students and museum professionals. The elaborated model can accelerate the otherwise time-consuming process of developing multilingual thesauri through greater student engagement while achieving multiple educational goals on real-world tasks. This model includes a statistical selection of the most frequent Croatian art and heritage domain terms and their links to relevant AAT concepts (accompanied with references to relevant literature and lexicographical sources). This process is conducted by students. Subsequent quality control methods include peer-checking and teacher supervision. Mapping of Croatian and English terms for specific concepts was further implemented through semantic technologies (SPARQL queries). Concepts that are particularly demanding are examined by scholars and museum professionals in the corresponding field. After the quality check, the terms would be included in the AAT and made available to open access as Linked Open Data (LOD), provided by the Getty Research Institute. The methods of quality control and student engagement are applied from crowdsourcing projects methodologies, but they were revised and improved concerning the specific needs and requirements of the educational context.
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks

Adversarial examples are inevitable on the road of pervasive applications of deep neural networks (DNN). Imperceptible perturbations applied on natural samples can lead DNN-based classifiers to output wrong prediction with fair confidence score. It is increasingly important to obtain models with high robustness that are resistant to adversarial examples. In this paper, we survey recent advances in how to understand such intriguing property, i.e. adversarial robustness, from different perspectives. We give preliminary definitions on what adversarial attacks and robustness are. After that, we study frequently-used benchmarks and mention theoretically-proved bounds for adversarial robustness. We then provide an overview on analyzing correlations among adversarial robustness and other critical indicators of DNN models. Lastly, we introduce recent arguments on potential costs of adversarial training which have attracted wide attention from the research community.
Personal and professional development of a teacher of the subject area “Art”: Humanity and cultural aspect

The article is devoted to the humanity-cultural aspect of the professional development of a musician-teacher. The paper considers the spiritual and educational potential of humanity culture as the basis for personal and professional development of a modern specialist; a culturological approach that ensures the implementation of this potential in the educational practice of training the subject area “Art”, in particular, for a music teacher.
Reducing Non-Normative Text Generation from Language Models

Large-scale, transformer-based language models such as GPT-2 are pretrained on diverse corpora scraped from the internet. Consequently, they are prone to generating non-normative text (i.e. in violation of social norms). We introduce a technique for fine-tuning GPT-2, using a policy gradient reinforcement learning technique and a normative text classifier to produce reward and punishment values. We evaluate our technique on five data sets using automated and human participant experiments. The normative text classifier is 81-90% accurate when compared to gold-standard human judgments of normative and non-normative generated text. Our normative fine-tuning technique is able to reduce non-normative text by 27-61%, depending on the data set.
Temporal Manipulation Interface of Motion Data for Movement Observation in a Personal Training

In this paper, we propose a observation method to easily distinguish the temporal changes of three-dimensional (3D) motions and its temporal manipulation interface. Conventional motion observation methods have several limitations when observing 3D motion data. Direct Manipulation (DM) interface is suitable for observing the temporal features of videos. Besides, it is suitable for daily use because it does not require learning any special operations. Our aim is to introduce DM into 3D motion observation without losing these advantage by mapping temporal changes into the specific vector in 3D space in the real-space.
Text Similarity Between Concepts Extracted from Source Code and Documentation

Context: Constant evolution in software systems often results in its documentation losing sync with the content of the source code. The traceability research field has often helped in the past with the aim to recover links between code and documentation, when the two fell out of sync. Objective: The aim of this paper is to compare the concepts contained within the source code of a system with those extracted from its documentation, in order to detect how similar these two sets are. If vastly different, the difference between the two sets might indicate a considerable ageing of the documentation, and a need to update it. Methods: In this paper we reduce the source code of 50 software systems to a set of key terms, each containing the concepts of one of the systems sampled. At the same time, we reduce the documentation of each system to another set of key terms. We then use four different approaches for set comparison to detect how the sets are similar. Results: Using the well known Jaccard index as the benchmark for the comparisons, we have discovered that the cosine distance has excellent comparative powers, and depending on the pre-training of the machine learning model. In particular, the SpaCy and the FastText embeddings offer up to 80% and 90% similarity scores. Conclusion: For most of the sampled systems, the source code and the documentation tend to contain very similar concepts. Given the accuracy for one pre-trained model (e.g., FastText), it becomes also evident that a few systems show a measurable drift between the concepts contained in the documentation and in the source code.
Research on Computer Network Teaching Reform Based on Simulation Software

Abstract This paper first analyzes the concept and development status of computer network technology, then expounds the problems existing in computer network practice teaching, and finally makes an in-depth analysis on how to formulate strategies to solve the problems existing in computer network practice teaching, including the detailed discussion and planning on the reform of course examination methods, the improvement of course setting and the study of software and hardware. Based on the current situation of computer network development in China, the practical teaching of computer network is continuously improved, which makes this course carry out smoothly in teaching.
A Study on the Experience of Creative Aging of the Elderly in Arts and Culture Education Program

The purpose of this research is to analyze the creative aging process experienced by the elderly in participating in cultural and arts education programs. Participants in this study were 11 people aged 65 years or older who had experience in the culture and arts education program and who were willing to participate. The data collection were conducted 1-2 times in depth interviews in January and February 2020. Collected data were analyzed through grounded theory proposed approach of Strauss and Corbin (1998). The result of this study was that 108 concepts, 39 sub-categories, and 17 categories were showed by open coding process. ‘Social participation through creativity activities’ was emerged as a core category. Based on this, it was found that there are four stages of ‘recognition stage’, ‘navigation stage’, ‘reflection stage’, and ‘growth stage.’ The types of creative aging experience were divided in to ‘satisfaction type’, ‘challenge type’ and ‘social type.’ Therefore, as a result of this study, the purpose of this study is to provide an empirical data for the development of an intervention program and the preparation of indicators of the creative aging experience process of the elderly who have experienced cultural and arts education.
ACTUAL PROBLEMS OF DOCUMENTATION SCIENCE IN UKRAINE

The purpose of the article. The research is devoted to the elucidation of the current state of document science in Ukraine, to identify the main problems of its development as a scientific and educational discipline, which contradicts the development of the specialty 029 «Information, library and archival affairs», overcoming the epistemological and organizational crisis of the science of document. The methodology of the study is toapply historical-genetic, comparative, formal-logical, modeling and generalization methods. These methods make it possible to fully disclose the content of the current crisis of document science, to identify cause and effect relationships, and to foresee possible ways to overcome it in accordance with the needs of society and the internal potential of the science itself. The scientific novelty of the research lies in the scientific understanding of the current state of document science in Ukraine. A comparative approach to the development of traditional document science and documentоlogia has opened up the possibilities of dialectical communication between them, and at the same time has fostered an understanding of the identity of each field. In addition to management, other types of specialized document science, such as electronic and audiovisual, were noted. The successof documentary education in Ukraine depends on the conscious activity of the subjects of the educational services market and the relevance of educational offerings to the needs of the profession of the documentary. Conclusions. Understanding the newest paradigm of science will facilitate the emergence of document science from the crisis, which will mark the next stage of its evolution.Key words: document; document science; general document science; special document science; documentologia; crisis of science, documentary education.