Reviewerly/exHarmony huggingface dataset:
Structure of personal components of the professional Self-concept of future lawyers

The article highlights the issues of substantiation of the structure of personal components of the lawyer's self-concept, according to which a holistic study of the process of forming the latter in educational and professional activities, revealing its essence as a specific personal education implies a clear understanding of the structural components, the level of development based on a system of criteria and relevant indicators, psychological and pedagogical conditions. It is determined that the professional Self-concept of a lawyer reflects the specifics of the social and legal reality that lawyers deal with during their professional activities. The personal components of the structure of the lawyer's Self-concept are professional knowledge, feelings, value orientations, legal attitudes, stereotypes of socially active lawful behavior and professional experience, which are characterized by the goals, objectives, nature of the lawyer's activity and working conditions of lawyers.&#x0D; Features of the structure of the lawyer's Self-concept are expressed not only in their knowledge of the norms and categories of law, but also in the use of moral principles in solving professional problems, which allows them to form a special professional attitude to the law and the practice of its implementation, as well as to their behavior in this process. Having a complex structure allows you to understand and understand professional activities more fully and objectively.
Hierarchical Meta Reinforcement Learning for Multi-Task Environments

Deep reinforcement learning algorithms aim to achieve human-level intelligence by solving practical decisions-making problems, which are often composed of multiple sub-tasks. Complex and subtle relationships between sub-tasks make traditional methods hard to give a promising solution. We implement a first-person shooting environment with random spatial structures to illustrate a typical representative of this kind. A desirable agent should be capable of balancing between different sub-tasks: navigation to find enemies and shooting to kill them. To address the problem brought by the environment, we propose a Meta Soft Hierarchical reinforcement learning framework (MeSH), in which each low-level sub-policy focuses on a specific sub-task respectively and high-level policy automatically learns to utilize low-level sub-policies through meta-gradients. The proposed framework is able to disentangle multiple sub-tasks and discover proper low-level policies under different situations. The effectiveness and efficiency of the framework are shown by a series of comparison experiments. Both environment and algorithm code will be provided for open source to encourage further research.
Artificial Intelligence and Antitrust in a Post-Qualcomm World

The questions in FTC v. Qualcomm are consequential in setting competitive norms in an economy anxious about the exercise of market power. Like many other antitrust cases, this one shows symptoms of antitrust law’s inherent vulnerability to ideology stampeding facts and data. Seen as an algorithm, antitrust has had patches and updates over the years. Still, few have recognized the breadth and depth of transformation artificial intelligence (“AI”) can bring to antitrust adjudication. AI enables courts to better render evidence-based decisions. As a tool, it is non-ideological and enables courts to minimize ideological stampeding. As a powerful new partner in making sense of the complex, dynamic, and fast-moving licensing markets many businesses operate in, courts and agencies can harness its ability to model price and innovation effects more precisely. There are challenges to implementing AI with data accountability, data availability, and data bias. These challenges can be addressed. The time to retool antitrust is now.
Employing Long Short-Term Memory Networks in Trigger Detection for Emetophobia

Research focused on mental health-related issues is vital to the modern person’s life. Specific phobias are part of the anxiety disorder umbrella and they are distressing afflictions. Emetophobia is the rarely known, yet fairly common and highly disruptive specific phobia of vomiting. Unlike other phobias, emetophobia is triggered not only by the object of the specific fear, but also by verbal and written mentions of said object. This paper proposes and compares ten neural network-based architectures that discern between triggering and non-triggering groups of written words. An interface is created, where the best models can be used in emetophobia-related applications. This interface is then integrated into an application that can be used by emetophobes to censor online content such that the exposure to triggers is controlled, patient-centered, and patient-paced.
Responses of Educators in South Sumatra Towards Distance Learning During the Covid-19 Pandemic

This research used descriptive analysis method.The object of the study was 152 numbers of school and university educators randomly selected to fill the online questionnaire.Based on the result, the category of their responses is not positive.Based on the research results, several difficulties were generalized: the limited ability of educators and students in using technology, limited facilities, and low family role.Teaching strategies that are applied by educators: online learning, offline learning, and the combination of both.
Social networks in professional activities for modern user

Тенденции развития науки и образования -53https://www.researchgate.net/publication/327434972_A_fast_algorithm_for_the_detection_of_faint_orbital_debris_tracks_in_optical_images.7. С. А. Запрягаев, А. И. Сорокин ПРОГРАММНАЯ ОБОЛОЧКА ДЛЯ
Ranking Sets of Defeasible Elements in Preferential Approaches to Structured Argumentation: Postulates, Relations, and Characterizations

Preferences play a key role in computational argumentation in AI, as they reflect various notions of argument strength vital for the representation of argumentation. Within central formal approaches to structured argumentation, preferential approaches are applied by lifting preferences over defeasible elements to rankings over sets of defeasible elements, in order to be able to compare the relative strength of two arguments and their respective defeasible constituents. To overcome the current gap in the scientific landscape, we give in this paper a general study of the critical component of lifting operators in structured argumentation. We survey existing lifting operators scattered in the literature of argumentation theory, social choice, and utility theory, and show fundamental relations and properties of these operators. Extending existing works from argumentation and social choice, we propose a list of postulates for lifting operations, and give a complete picture of (non-)satisfaction for the considered operators. Based on our postulates, we present impossibility results, stating for which sets of postulates there is no hope of satisfaction, and for two main lifting operators presented in structured argumentation, Elitist and Democratic, we give a full characterization in terms of our postulates.
Testing Linear Regressions by StatsModel Library of Python for Oceanological Data Interpretation

The study area is focused on the Mariana Trench, west Pacific Ocean. The research aim is to investigate correlation between various factors, such as bathymetric depths, geomorphic shape, geographic location on four tectonic plates of the sampling points along the trench, and their influence on the geologic sediment thickness. Technically, the advantages of applying Python programming language for oceanographic data sets were tested. The methodological approaches include GIS data collecting, data analysis, statistical modelling, plotting and visualizing. Statistical methods include several algorithms that were tested: 1) weighted least square linear regression between geological variables, 2) autocorrelation; 3) design matrix, 4) ordinary least square regression, 5) quantile regression. The spatial and statistical analysis of the correlation of these factors aimed at the understanding, which geological and geodetic factors affect the distribution of the steepness and shape of the trench. Following factors were analysed: geology (sediment thickness), geographic location of the trench on four tectonics plates: Philippines, Pacific, Mariana and Caroline and bathymetry along the profiles: maximal and mean, minimal values, as well as the statistical calculations of the 1st and 3rd quantiles. The study revealed correlations between the sediment thickness and distinct variations of the trench geomorphology and sampling locations across various segments along the crescent of the trench.
Mot en trebank for amerikanorsk

This article presents a method for automatic assignment of syntactic dependency relations to the corpus of American Norwegian speech (CANS). Different machine learning techniques and corpora are used. Finally, an accuracy measure is computed and compared with a relatively new treebank for spoken Norwegian.
LITERASI INFORMASI PETANI NANAS DALAM MENINGKATKAN PRODUKTIVITAS PERTANIAN DI DESA TANGKIT BARU KEC. SUNGAI GELAM KAB. MUARO JAMBI

This article discusses the pineapple farmer’s literacy in improving agricultural productivity in the Tangkit Baru Village. The Purpose of this article was to explore the literacy level of farmer information by default of The International Federation of Library Association and Literacy (IFLA). The writing employed a descriptive qualitative method with a sampling approach. The data analysis technique used is the flow model of data reduction, data presentation and deduction scheme. The results proved that the pineapple farmers’ literacy in the village of Tangkit Baru in good category, with increased productivity. The default IFLA information literation component suggest, (information access) is obtained through socialization among farmers, as well as through generations; then at the rate (information evaluation), farmers know the variety of plants, the inhibitory factors dof locating information, and the ability to compare the information accordingly are evaluated so that information can be useful; and (use of information), farmers apply information through experimentation and information obtained, disseminated and communicated to create coexistence. The pineapple farmers in the Tangkit Baru village at the average level of secondary school are able to work well, because of the important information literacy role of their communities. Which, of course, the pineapple productivity will increase as well as minimize the damage to the farmland.
Development of E-learning-based Social Studies Learning Media for Class VII Semester II Junior High Schools

This study aims to determine the validity, practicality, and effectiveness of the development of E-Learning-based IPS learning media for Class VII Semester II SMP. This research was a Research and Development. This research was conducte at SMPN 1 Mandau, Bengkalis Regency. The type of data collected in this study was qualitative data obtained from interviews, observations and expert validity. The assessment of students was carried out through a questionnaire. The object of research in this study was E-Learning-based IPS Learning Media for Class VII Semester II Junior High School using Chamilo 2019 software. The data analysis used qualitative descriptive analysis and quantitative descriptive statistical analysis. The qualitative descriptive analysis technique was used to process data from the test results from media experts and material experts, while quantitative descriptive statistical analysis techniques were used for media assessment by 30 students with the help of SPSS. The results of the study state that e-learning-based social studies learning media are declared valid by media experts and material experts, with a practical level of media use that is practical or easy to use and the effectiveness of appropriate media in learning activities, which can save time and facilitate the preparation of teaching materials.
DEVELOPMENT OF THE COURSE "INFORMATION TECHNOLOGIES IN PSYCHOLOGY" FOR TRAINING PROFESSIONAL PSYCHOLOGISTS

Introduction. Ensuring livelihood in to- day's information society has a number of specific re- quirements for all its members. At present, it is impossible to imagine modern industries, science, education, culture, sports and economics, without the use of computers; they help a person in work, study, research, recreation, etc. Therefore, characteristic of the current stage of develop- ment of society – the formation of the information society – is the widespread introduction of computer technology in all spheres of human life, including in the training of spe- cialists in various specialties, practical psychologists in particular. But, as the experience of practical activity in this field shows, it is computer technologies that open up fundamentally new opportunities and, as a result, have gained recognition and spread in the developed countries of the world, are extremely little used by domestic psy- chologists. Purpose. Consider the possibility of using information technology in the work of professional psychologists; develop a program of specialized training for the training of future psychologists. Methods. Analysis, synthesis, systematization, speci- fication, generalization. Results. As a result of the research, the training course "Information Technologies in Psychology" was concluded, which is intended for students studying in the 3rd year in the specialty "Psychology" at the National University "Lviv Polytechnic" Originality. The original is the adaptation of knowledge about modern information technology for the training and professional activities of practical psycholo- gists. Conclution. 1. Modern computer technology provides ample opportunities in all areas of human activity, some of which can be used in the training of future professional psychologists. 2. Their application provides new opportu- nities for employees of psychological services in various institutions, allows to implement previously unavailable techniques, which expands the range of services provided and improves the level of customer satisfaction. 3. The use of modern computer technology allows a practical psychologist to rise to a new, higher level of professional- ism, in almost all activities.
THE ROLE OF INNOVATIVE ENTREPRENEURSHIP IN ECONOMIC DEVELOPMENT: A CASE OF G20 COUNTRIES

Innovation and entrepreneurship are considered key factors of growth and survival of modern economies. According to Schumpeter (1934), “carrying out innovations is the only function which is fundamental in history". The review of recent studies reveals that high levels of newly growing up innovative firms are strongly related to economic growth (Stam, 2008).The vinculum of innovation, entrepreneurship and economic development is a matter of great interest at the present time. Given this context, the aim of this study is to explore the relation of Innovative Entrepreneurship and economic growth and its role in economic development of G20 member countries. For this, an overview of literature regarding the impact of innovation and entrepreneurship on economic development is discussed. KEYWORDS: Entrepreneurship, Innovation, Economic Development, SMEs, G20 Countries
Scientific discourse in artistic literature

The article distinguishes between the language of real life (a vital one) and the language of imaginary literature (an imaginary one). The aim of the article is to describe how a scientific discourse is presented in fictional works. The authors discuss the main characteristic features of text and discourse and underline the differences between them. Linguistic means of a scientific discourse or scientific functional style are analyzed on the material of the contemporary British writer D. Lodge’s imaginary prose. It is shown how vital scientific discourse is being reflected in literary texts. The article also deals with some ways and methods of creating ironic and satirical effects. Discourse zeugma is suggested as one of such means
E-Catch-Fisheries Logbook Application Based on Regulation of the Minister of Marine and Fisheries of the Republic of Indonesia

Fisheries management using Log Book is deemed effective application called E-Log Book Fishing.With E Log Book, fishing activities are not bothered by filling in the data before the fish catch report, also the government will get easier to collect data on fish products because it is already online.The method used is this study is normative juridical with descriptive analysis as a specification.The data are sourced from the secondary data using primary, secondary, and tertiary legal materials.The method of collecting data consists of literature and interviews as supporting data.Research results show the application of E-Log Book Application of Fishing at the Ocean Fishery Port of Nizam Zachman North Jakarta requires a high level of involvement in the application of logbooks.The fishing vessels with 30 GT going through Indonesia is required to have VMS transmitters to transmit position data sent every 1 (one) hour continuously, provide socialization and train the use of E-Logbook for intensive fisheries with ease, and grant tolerance that is approved for the implementation of E-Logbook.However, the using of application still faces some problems such as the lack of socialization regarding elogbook applications, system error, weak monitoring of fishing operations at sea, and protection of Syahbandar (PPSNZJ).
Spatiotemporal Free-Form Registration Method Assisted by a Minimum Spanning Tree During Discontinuous Transformations

The sliding motion along the boundaries of discontinuous regions has been actively studied in B-spline free-form deformation framework. This study focusses on the sliding motion for a velocity field-based 3D+t registration. The discontinuity of the tangent direction guides the deformation of the object region, and a separate control of two regions provides a better registration accuracy. The sliding motion under the velocity field-based transformation is conducted under the $$\alpha$$ -Rényi entropy estimator using a minimum spanning tree (MST) topology. Moreover, a new topology changing method of the MST is proposed. The topology change is performed as follows: inserting random noise, constructing the MST, and removing random noise while preserving a local connection consistency of the MST. This random noise process (RNP) prevents the $$\alpha$$ -Rényi entropy-based registration from degrading in sliding motion, because the RNP creates a small disturbance around special locations. Experiments were performed using two publicly available datasets: the DIR-Lab dataset, which consists of 4D pulmonary computed tomography (CT) images, and a benchmarking framework dataset for cardiac 3D ultrasound. For the 4D pulmonary CT images, RNP produced a significantly improved result for the original MST with sliding motion (p<0.05). For the cardiac 3D ultrasound dataset, only a discontinuity-based registration indicated activity of the RNP. In contrast, the single MST without sliding motion did not show any improvement. These experiments proved the effectiveness of the RNP for sliding motion.
The students’ speaking anxiety: Psycho-social approach

This thesis presents research about “Analyzing the Students Speaking Anxiety by Using Psycho-social Approach” The sample consists of 10 students of Al-hasib class at the second grade SMA Islam Athirah Bone. The objective of this research are (1) to analyze the reduction of the students’ speaking anxiety by using psycho-social approach. (2) to know the factors that cause students of SMA Islam Athirah Bone to get anxiety in Speaking. This research uses qualitative method by analyzing data using test, observation and interview.The result of the research shows that the students of the eleventh grade of Al-hasib class of SMA Islam Athirah Bone reduces anxiety in speaking by using psycho-social approach. It supported by the existence of social interaction that are often carried out able to make students more confident and no longer anxious, Controlling the students’ emotional in studying situation, Relaxation and motivation. They get more guidance from their English teachers such as being relax, preparing the preparation before studying or perform and positive thinking. The most dominant points are relaxation and motivation.The students have some factors in anxiety, they are lack of preparation, learners’ belief about language learning, fear of making mistakes and personal and interpersonal factors. The most dominant factors are lack of preparation and fear of making mistake.
Sigurd Ore-Mineralization in West-Spitsbergen Island, Svalbard Archipelago

One of the largest silver-copper mineralization of the Mount Sigurdfjellet in Western Spitsbergen Island of the archipelago was discovered in 1990 by Russian geologists.The ore genesis is exclusively related to hydrothermal migration of ore substances from the enclosing sandstones and siltstones of the Devonian age.The subsequent study of the ore minerals, host rocks and basement rocks provided new insights on the geochemical characteristics of potential sources of metals and for new mineral occurrence -gold mineralization.The similarity of geochemical patterns of the Sigurd ore occurrence with that of the nearby upper Proterozoic marble may suggest that the latter is likely to be the source of ore substances and the second possible source related to the carbonate-containing streaks of the Low Devonian sediments.Ore-formation, probably due to repeated hydrothermal processes was completed in a period of tectonomagmatic activity in Jurassic-Cretaceous time.
ВИКОРИСТАННЯ СУЧАСНИХ ІНТЕРНЕТ МЕСЕНДЖЕРІВ В ПРОЦЕСІ НАВЧАННЯ СТУДЕНТІВ ІНЖЕНЕРНО-ПЕДАГОГІЧНОГО НАПРЯМУ

The article considers some aspects of modern Internet messengers using in the process of teaching students of computer profile’s engineering and pedagogical specialties, analyses the tools for Internet communications. It was found that the rapid development of information technology causes the constant aging of even Internet communication tools. There is a problem of finding and using a method of communication with consumers that will meet the level of technology development and meet the needs of both parties.The prospects and economic rationality of the use of mobile devices by companies to gain the attention of their consumers through the development of mobile versions of official websites, creation of special programs, registration and constant support of official pages in social networks are revealed.The concept “Internet messenger” is studied. The analysis of literature sources is carried out, on the basis of which it is revealed that the issues of teaching students of computer profile’s engineering and pedagogical specialties with the use of modern Internet messengers need further research. The need for future specialists to study the general principles of creating bots as services for modern managers, as they are widely used by companies for business development in particular for the Ukrainian market, as companies are just beginning to master this technology. And therefore, the demand for specialists to develop such services is growing.The most popular social networks in the world as of April 2020 are analysed, which are ranked by the number of active users and their possibilities, advantages and disadvantages of use in the field of higher education are considered.It is proved that for the development of a prototype of the system of interactive informing of students of Berdyansk State Pedagogical University, Telegram was chosen, which has the highest growth rates of the number of active users, and therefore the prospects of audience growth for the developed service.This publication is the first in a series. The following articles will be devoted to the design, development and software implementation of the prototype of interactive information systems for students in the training of future engineers-teachers.