Reviewerly/exHarmony huggingface dataset:
Impact of higher education on socio-economic development

In the article it is studied the influence of higher education on the development of regional socio-economic systems. Economic and statistical analysis revealed the impact of measures of higher education development on the GRP of the region. Highly significant factors were: salaries of faculty staff of the universities and internal research and development costs. These indicators indirectly reflect the degree of intellectual development in the region and show the impact of intellectual capital development on socio-economic development. University professors develop students' knowledge, which allows them to institutionalize higher education and spread it in the region. The quality of a university professor’s intelligence directly affects the formation of intellectual capital in the region. In addition, it was significant the number of students studied in bachelor's, specialty, and master's programs. Moreover, the higher the number of students per capita, the lower the GRP per capita, which is explained by their low incomes. In the article it was considered the differentiation of Federal districts and regions of the Russian Federation in terms of the development of the higher education system. Methods of dividing indicators and grouping were applied, which made it possible to make cartograms and visualize the differentiation of regions by the number of higher education institutions and by the number of graduates.
Vector Psychology in Socialization Management of the Digital Generation

The purpose of the article was to formulate the possibilities of integrating sociological and psychological science in terms of new approaches to socialization using the example of the digital generation in the context of large-scale digitalization of all spheres of human activity. This generation is significantly different from the previous ones, and has a number of advantages and problem areas, which require a revision of sociological and interdisciplinary approaches to socialization. The authors show the necessity of building scientific knowledge based on the principles of Bohr’s mutual complementarity. They consider the possibilities of socio-psychological approaches to the complex of network technologies of secondary socialization in the system of social management, supplementing it with the theoretical basis of vector psychology and methods of digital sociology. The authors consider a person as a whole, relying on the postulate of the simultaneous coexistence of two mutually exclusive principles in the personality (as in quantum physics) — social and biological. The authors’ approach is based on a combination of natural biological foundations, the vital needs of individuals with the value foundations, and the coordination of social connections of the network environment and patterns of behavior. This implies a differentiated approach to the adaptation of social communities of each of the eight sociopsychotypes through positive feedbacks included in the additionally developed tools in socialization institutions. These include educational and upbringing tools, network tools for choosing a profession and building a career with the participation of employment services and professional communities, and family building networking tools.&#x0D; Keywords: digital generation, secondary socialization, vector psychology, digital sociology
Improving Depth Estimation using Location Information

The ability to accurately estimate depth information is crucial for many autonomous applications to recognize the surrounded environment and predict the depth of important objects. One of the most recently used techniques is monocular depth estimation where the depth map is inferred from a single image. This paper improves the self-supervised deep learning techniques to perform accurate generalized monocular depth estimation. The main idea is to train the deep model to take into account a sequence of the different frames, each frame is geotagged with its location information. This makes the model able to enhance depth estimation given area semantics. We demonstrate the effectiveness of our model to improve depth estimation results. The model is trained in a realistic environment and the results show improvements in the depth map after adding the location data to the model training phase.
Higher education in the subjects of the Russian Federation: formation of a new network structure of educational organizations

Most of the issues related to the achievements of science and the improvement of the higher education system are closely related to the development of human capital and the strengthening of human resources. Higher education plays a major role in the formation of a person, the development of personality, the acquisition of knowledge, skills, skills and competencies. The professional capabilities of teachers in universities and the availability of high-quality education depend on knowledge and skills, that is, on the level of human capital development. It is on a sufficient number of highly qualified teachers that the training of specialists for the real sector of the economy, the social sphere, the development of the scientific and industrial potential of our country and its leading positions depend
Educational Data Mining to Identify the Patterns of Use made by the University Professors of the Moodle Platform

Due to the events caused by the COVID-19 pandemic and social distancing measures, learning management systems have gained importance, preserving quality standards, they can be used to implement remote education or as support for face-to-face education.Consequently, it is important to know how teachers and students use them.In this work, clustering techniques are used to analyze the use, made by university professors, of the resources and activities of the Moodle platform.The CRISP-DM methodology was applied to implement a data mining process, based on the Simple K-Means algorithm; to identify associated groups of teachers it was necessary to categorize the data obtained from the platform.The Apriori algorithm was applied to identify associations in the use of resources and activities.Performance scales were established in the use of Moodle functionalities, the results show the use made by teachers was very low.Rules were generated to identify the associations between activities and resources.As a result the functionalities that need to be enhanced in the teacher training processes were identified.Having identified the patterns of use of the Moodle platform, it is concluded that it was necessary to use a Likert scale to transform the frequency of use of activities and resources and identify the rules of association that establish profiles of teachers and tools that should be promoted in future training actions.
Critical evaluation of new Council of Europe guidelines concerning digital courts

Digitalisation of courts plays an increasingly important role in dispute resolution. It has the ability to improve access to justice by facilitating faster and less costly access to courts, thereby making dispute resolution more effective and efficient. However, wide use of digital courts also has the potential to restrict access to justice. Attention needs to be given to issues of authentication and identification of the parties, digital divide, cybersecurity and personal data protection. This paper concerns recent guidelines of the Council of Europe that aim to fully address these issues and assist member States in ensuring that implemented digital techniques in the courts do not undermine human dignity, human rights and fundamental freedoms. The author answers and critically evaluates the specific questions and doubts relating to the content of the guidelines. The author’s recommendations can be taken into consideration by the Council of Europe in future updates of the guidelines.
Evaluation of Goal Recognition Systems on Unreliable Data and Uninspectable Agents

Goal or intent recognition, where one agent recognizes the goals or intentions of another, can be a powerful tool for effective teamwork and improving interaction between agents. Such reasoning can be challenging to perform, however, because observations of an agent can be unreliable and, often, an agent does not have access to the reasoning processes and mental models of the other agent. Despite this difficulty, recent work has made great strides in addressing these challenges. In particular, two Artificial Intelligence (AI)-based approaches to goal recognition have recently been shown to perform well: goal recognition as planning, which reduces a goal recognition problem to the problem of plan generation; and Combinatory Categorical Grammars (CCGs), which treat goal recognition as a parsing problem. Additionally, new advances in cognitive science with respect to Theory of Mind reasoning have yielded an approach to goal recognition that leverages analogy in its decision making. However, there is still much unknown about the potential and limitations of these approaches, especially with respect to one another. Here, we present an extension of the analogical approach to a novel algorithm, Refinement via Analogy for Goal Reasoning (RAGeR). We compare RAGeR to two state-of-the-art approaches which use planning and CCGs for goal recognition, respectively, along two different axes: reliability of observations and inspectability of the other agent's mental model. Overall, we show that no approach dominates across all cases and discuss the relative strengths and weaknesses of these approaches. Scientists interested in goal recognition problems can use this knowledge as a guide to select the correct starting point for their specific domains and tasks.
An Adaptive Gaze Tracking System in the Diverse Environment

For understanding the learning effect, the gaze tracking is a more objective method to collect the data on eye movement and used to analyze the learning behaviors. In order to provide an analysis tool to apply in diverse environments, an adaptive gaze tracking system is proposed in this paper. This system can offer helpful suggestions for educators when improving the instruction. Additionally, the experimental results show that the estimation of gaze points was successful even when the distance and head rotation alter.
THE IMPROVEMENT OF THE QUALITY OF THE VOCATIONAL TRAINING OF FUTURE SOCIOLOGISTS BY MEANS OF EDUCATIONAL CYBERSPACE

The article is devoted to the analysis of the state of the modern professional training of future sociologists in Ukraine and the definition of the scientific grounds for its quality improvement connected with the use of educational cyberspace. Special attention is paid to the researches of the issue provided by modern Ukrainian and foreign scientists. Due to the analysis of the scientific literature as well as multilateral analysis of the practice of professional training of sociologists in Ukraine and abroad, particular problems and challenges are highlighted. In the process of the problem investigation, the conclusion was made on the particular necessity to diversify the applied approaches to foreign language learning and teaching in terms of the present mode of hybrid education at the university. The various methods and innovative approaches developed are the attempts to answer these actual questions for the vocational training of future sociologists. The methodological support of the mentioned process of future sociologists training is developed in Odessa I. I. Mechnikov National University: the special course “The formation of the professional qualities of a future sociologist in the process of context training” for learning and teaching the foreign language (English) for the special purposes by means of educational cyberspace in the academic environment. The process of designing and delivering the materials of this course offered the possibility to sort out the traditional effective means of vocational training and supplement them with the means of educational cyberspace.&#x0D; Keywords: future sociologist; professional training; educational cyberspace; educational environment; online audio resources; online video resources; hybrid education; context learning.
Labor remuneration for higher education teachers: economic and legal issues of incentive and compensation payments

The article considers the regulatory mechanism of remuneration of teachers, the specifics of the economic component of remuneration in higher educational institutions of the Russian Federation. The fundamental differences between economics and legal regulation of incentive payments to teachers of higher education have been investigated, aspects of compensation payments have been analysed. A number of problems of an economic, regulatory and law enforcement nature have been identified, which can reduce the motivation of the pedagogical community and negatively affect the quality of training of graduates of higher school. For each problem area, proposals have been developed to improve the provision of incentive and compensation payments in higher education institutions. The proposals are designed to increase the demand for pedagogical work and the competitiveness of domestic universities and enterprises.
Evolutionary Multi-criteria System Identification

In order to realize the concept of automated identification, we introduced three key ingredients: Genetic Programming (GP), Tree Adjoining Grammar (TAG)- and Pareto-dominance-based multi-objective framework. In this chapter, we fuse these ingredients to develop an approach for automated system identification. The proposed methodology makes use of a modified GP algorithm to automatically search for Pareto-optimal models in the model set defined by a user-specified TAG, based on multiple identification criteria that can be aligned to the ultimate use-case of the model.
Penerapan Siklus Belajar 5E Dengan Media PowerPoint Untuk Meningkatkan Aktivitas Belajar dan Hasil Belajar Siswa

The purpose of this research is increase students' activities and the result of learning using Learning Cycle 5E with PowerPoint and use WhatsApp Group for discussion and Google Classroom for assignments. This research is an Action Research using a mixed methods approach with quantitative and qualitative analysis. Use the model by Kemmis and Mc. Taggart, has 4 activities in each cycle, are planning, action, observation, and reflection. This research was conducted at SMK Negeri 1 Nganjuk. The research subjects were 36 students of class X-TKJ-2. The object of research is student activities and the result of learning. The data collection techniques were carried out by using test and non-test. The test is done by giving assignments at the end of the cycle. While non-test is observations by students when learning to dare. Data analysis is presented in the form of tables and graphs, with qualitative data analysis in the form of words or symbols and quantitative data analysis in numbers.The results of student activities in the pre-cycle is 33%, the first cycle increased by 10%, the score was 43%, in Cycle II is increased by 37%, the score was 80%, beyond 75%, and has high criteria. For the result of learning in the pre-cycle the percentage of student learning is 28%, in Cycle I it is 36%, Cycle II increases to 83% of students who have scores above the KKM. The conclusion is that PowerPoint with Learning Cycle 5E can improve student learning activities and the result of learning.
Quantum Computation, Data Science, Bell Games

I draw attention to statistical and probabilistic and computer science aspects of the very, very close by topic of quantum internet.
Efektifitas Media Boneka Upin-Ipin dalam Meningkatkan Kemampuan Mengenal Huruf Hijaiyah pada Kelompok A di Pos PAUD Bougenville 2 Ngawen Sidayu Gresik

This article discusses the effectiveness of using the Upin-Ipin doll media in increasing the ability of a group of students in the early childhood education (PAUD) in recognizing hijaiyah letters at Pos PAUD Bougenville 2 Ngawen Sedayu Gresik. By using the classroom action research method, this study shows that the usage of the Upin-Ipin doll has resulted in an increase the ability of students of Pos PAUD Bougenville 2 Ngawen Sidayu Gresik in reading hijaiyah letters. It can be seen from the increase of each student's score in cycle I (75%) to 92% in cycle II. It is also found that the overall percentage in cycle I (50%) increases (80%) in the overall percentage in cycle II.
Application of Financial Literacy to Elementary School Students to Be More Prosperous in the Future

Indonesia has almost 2 years in implementing distance learning to prevent an increase in the transmission of the Corona Virus. With the creation of the Thematic community service program, it is hoped that it can increase student interest in learning and help educators and parents of students to facilitate the implementation of online learning activities. This research was conducted in an elementary school in West Java. At the initial stage, the research was conducted to survey the number of students in grade 6 of the Elementary School. The number of students recorded was 60 students in grade 6. Then we distributed the 60 students with 47.60% (21 male students) and 52.40% (39 female students). Learning and teaching activities at Karanganyar State Elementary School 2 are carried out online. The learning media used are Zoom Meet, WhatsApp group, and Google Form for students. This method is a solution in implementing distance learning with interactive learning media. The results of the research show that the average post-test score of 84.0% is greater than the average pre-test score of 49.03%, so the difference is 1.95%. Therefore, we can increase interest, knowledge, and application in material related to financial literacy. This increase in understanding can be done by continuously teaching and giving examples of financial literacy to students through fun media, such as animated videos containing financial literacy.
Can You Tell? SSNet - A Biologically-Inspired Neural Network Framework for Sentiment Classifiers

When people try to understand nuanced language they typically process multiple input sensor modalities to complete this cognitive task. It turns out the human brain has even a specialized neuron formation, called sagittal stratum, to help us understand sarcasm. We use this biological formation as the inspiration for designing a neural network architecture that combines predictions of different models on the same text to construct accurate and computationally efficient classifiers for sentiment analysis and study several different realizations. Among them, we propose a systematic new approach to combining multiple predictions based on a dedicated neural network and develop mathematical analysis of it along with state-of-the-art experimental results. We also propose a heuristic-hybrid technique for combining models and back it up with experimental results on a representative benchmark dataset and comparisons to other methods (DISCLAIMER: This paper is not subject to copyright in the United States. Commercial products are identified in order to adequately specify certain procedures. In no case does such identification imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the identified products are necessarily the best available for the purpose.) to show the advantages of the new approaches.
L’ESPRESSIONE DELLA CAUSALITÀ NEL DISCORSO ECONOMICO GIORNALISTICO ROMENO E ITALIANO

The compared approach in this article aims at following and illustrating – based on the analysis of a corpora of texts selected from the Italian and the Romanian economic press – the linguistic means used to express causality in the journalistic economic discourse, the argumentative role of the causal relations, as well as its pragmatic implications in the support of the linguistic acts stated in journalistic economic discourse.
New Systematic Analysis Method of Identifying Microscopic Essential Couplings

We propose a systematic method of identifying essential model parameters for nonlinear response tensors. The analysis results reveal fundamental couplings in nontrivial responses and promote further development of multiferroic responses.
Students’ Perception of Sustained Silent Reading (SSR) on Reading Comprehension in SMPN 1 Abang

Assisting students to have good reading comprehension is essential to be accomplished during learning. Sustained Silent Reading (SSR) comes as the most used strategy to promote students’ literacy and build their reading comprehension based on the pre-observation in junior high schools in Karangasem Regency. This study aimed to investigate students’ perception of using SSR to enhance students’ reading comprehension in SMPN 1 Abang. The design of the study was mixed-method. The setting of this study is SMPN 1 Abang, located in Abang district, Karangasem regency, Bali province. This study used a questionnaire as the instrument of this study. The type of questionnaire used is a mail survey, specifically the questionnaire created in scale items by using Likert-type questions. As the study results, the mean score was categorized as very high because it was 4.50 and the interval was 4.00&lt;M&lt;5.00. In other words, the student's perception of using SSR to enhance students’ reading comprehension in SMPN 1 Abang showed very positive qualifications. Thus, it implies that SSR is helpful to improve students’ reading comprehension.
The Role of Digital Assets in Transforming Corporate Relations

The contribution considers the role of digital assets in the transformation of contemporary corporate relations. The prerequisites for the emergence of digital assets in the modern economy are studied in this work, various approaches to the interpretation of the definition of digital assets, including at the legislative level, are presented. Tokens are allocated as one of the objects derived from digital assets. The authors describe distinctive features of the concept of centralization and decentralization that are used in the creation and functioning of corporate structures. A hybrid model of the corporate platform is presented. It combines the principles of a cooperative and a fund and is based on the concept of decentralization. The concept of a decentralized autonomous organization is considered as one of the promising forms of corporate relations development, taking into account the influence of such digital assets as tokens and their derivative in the form of distributed registry technology.
Geology and Geochemistry of Copper Mineralization of Volcanic Rocks Due to Quartz Veins in Western Part of Almus (TOKAT-TURKEY)

It is recognized that magmatic activities have occurred along the Izmir Erzincan suture due to the closure of the Tethyan ocean. In the western part of Almus (Tokat), which is situated around this suture zone, quartz veins along the fracture lines are observed in the volcanics owing to the magmatism. There are copper enrichments along the quartz veins with an average thickness of 70 cm in volcanic rocks. Mineralization occurred as vein type and epigenetic formation. Paragenesis consists of bornite, covellite, pyrite, magnetite in ore forming phase and goethite, malachite and azurite in supergeneous phase. In geochemical analyzes, the CuO value near the surface reaches 23% due to the presence of malachite and azurites also 0.03% in non-oxidized zones. This enrichment along the secondary quartz veins in the fracture lines of Eocene volcanic rocks is associated to the effect of the extension regime in the region.