Reviewerly/exHarmony huggingface dataset:
DATA JOURNALISM EDUCATION: PROBLEMS AND PERSPECTIVES IN AZERBAIJAN

Due to the development of technology as well as global web space, new trends and directions in the field of journalism are emerging as the nature and form of the media change.One of them is data journalism, which is already widely used in Western developed countries.Data journalism is an increasing form of investigative journalism.However, its implementation to the Azerbaijani media system is somewhat weak.At present, the traditional part of the Azerbaijani media rarely uses data applications.In contrast, new media organizations are increasingly using data journalism.Since the development of each field depends on its education, this article will discuss the nature of data journalism education in universities and the education level of data journalism in Azerbaijan, more precisely problems and perpectives.Generally, as a crucial field of media data journalism education appears to be a very young discipline in our country.Even in the journalism faculties of many universities, data journalism is not included in the curriculum.So far, digital journalism has been included in the curriculum of only two universities in Azerbaijan, namely ADA University and Baku State University.Although the audience is interested in this field, data journalism is not even taught as an elective in the other two educational institutions.In different years, different courses and organizations have conducted trainings and seminars on the promotion of data journalism.For instance, The Eurasian Cooperation Foundation and the Caucasus Research Resource Center and USA Embassy, Data Hub LLC with the financial support of the US Embassy in Baku, the Eurasian Cooperation Foundation and the Caucasus Research and Resource Center, also Mingachevir Media Center, Anadolu Agency and TIKA (Turkish Cooperation and Coordination Agency) and other organizations organized distance and offline trainings on Data Journalism.In June and July 2021, GIPA and the US Embassy in Azerbaijan jointly organized distance data journalism training for journalists.Naturally, these measures are in the minority for such a difficult and necessary area.However, for the development of this field, it is planned to include data journalism in higher education institutions in the curriculum of both bachelor's and master's degrees in the near future.
Continuous Facial Motion Deblurring

We introduce a novel framework for continuous facial motion deblurring that restores the continuous sharp moment latent in a single motion-blurred face image via a moment control factor. Although a motion-blurred image is the accumulated signal of continuous sharp moments during the exposure time, most existing single image deblurring approaches aim to restore a fixed number of frames using multiple networks and training stages. To address this problem, we propose a continuous facial motion deblurring network based on GAN (CFMD-GAN), which is a novel framework for restoring the continuous moment latent in a single motion-blurred face image with a single network and a single training stage. To stabilize the network training, we train the generator to restore continuous moments in the order determined by our facial motion-based reordering process (FMR) utilizing domain-specific knowledge of the face. Moreover, we propose an auxiliary regressor that helps our generator produce more accurate images by estimating continuous sharp moments. Furthermore, we introduce a control-adaptive (ContAda) block that performs spatially deformable convolution and channel-wise attention as a function of the control factor. Extensive experiments on the 300VW datasets demonstrate that the proposed framework generates a various number of continuous output frames by varying the moment control factor. Compared with the recent single-to-single image deblurring networks trained with the same 300VW training set, the proposed method show the superior performance in restoring the central sharp frame in terms of perceptual metrics, including LPIPS, FID and Arcface identity distance. The proposed method outperforms the existing single-to-video deblurring method for both qualitative and quantitative comparisons. In our experiments on the 300VW test set, the proposed framework reached 33.14 dB and 0.93 for recovery of 7 sharp frames in PSNR and SSIM, respectively.
Analyzing Korean Reading course and Designing Education -A Focus on learner's eye-tracking analysis-

The purpose of this study is to propose a model for designing reading education that can improve reading ability by identifying and linguistically analyzing how the reading ability required for reading-comprehension is presented at each learner level. In this study, the eye-tracking experiment was conducted with divided into lexical and sentence levels which are the stage of comprehension corresponding to the subelement of the reading-comprehension, and the results are as follows. First, at the lexical level, it was confirmed that cognitive speed differs depending on the degree of preservation of the base form of the conjugations of the predicates with the same base form. Second, at the sentence level, we confirmed that the unstable reading-comprehension process appeared in the complex compared to the short sentence, even if the sentence length, vocabulary level, and vocabulary were similar and in the case of that the sentence has the same meaning. This paper suggests that the spelling, vocabulary, conjugation, grammar knowledge that correspond to the lower level should be included as the elements of education.
Deep reinforcement learning and application in self-driving

Reinforcement learning (RL) is a method of learning a complete set of strategies through continuous interaction with the environment. By introducing the basic principles of RL and explaining the leveraging of neural networks based on the function approximation theory in this chapter, an unmanned vehicle control method that integrates a strategy gradient based on RL and a deep deterministic strategy gradient algorithm will be discussed.
Army Crew Training: Coaching with Intelligent Tutoring System (ITS)

The training of military crews of armoured vehicles can be enhanced by applying AI-based methods to the training drills. Defence Research and Development Canada used a Human Behaviour Representation approach to create an armoured crew simulation trainer for the Canadian Armed Forces. The Human Behaviour Representation (HBR) approach is a form of rule-based AI that applies a cognitive task analysis to derive a synthetic operator. The cognitive task analysis resulted in a Task Network Model (TNM) for each crew member of the Light Armoured Vehicle (LAV) and for the entire crew. These TNMs were inputted into a discrete event simulator to create a synthetic training environment that combines virtual and human members of the LAV crew. The training platform allows a human member of the team to interact with the synthetic crew through voice production software that was integrated with the synthetic environment.The paper presents the development of the Intelligent Tutoring System module for the LAV crew simulation platform that serves as a human instructor for conducting basic LAV drills. The paper outlines the architecture, functionality, and testing of the module. The work shows how the HBR approach can be used to develop a synthetic coach for training a military crew. The work is a step in developing and testing a general training system for small military teams. The training system will allow to conduct basic crew drills, in which a human crew member will be trained with the synthetic crew members, thus overcoming some of the obstacles that military crew training faces: a logistic difficulty to gather a full crew at the same time and place and a deficiency of qualified instructors. The paper outlines the steps for the follow-up work required to develop a generic AI-based autonomous systems for basic training of small military teams.
A. A. BLOK’S 1921 NOTES ABOUT THE ALKONOST AND «THE CLOSURE OF ALL PRIVATE PUBLISHING HOUSES»: QUIRKS OF TEXTUAL CRITICISM, CONTEXT, PRAGMATICS

The article analyzes A. Blok’s 1921 notes about the Alkonost publishing house and the plans of the Soviet government to nationalize private publishing houses. The textual analysis of rough and fi nal drafts (preserved at the Pushkin House Manuscript Department) is performed, the message of the notes against the policy of Gosizdat and their connection with the famous bibliographer P. Vi-tyazev’s attempts to consolidate the public protest against this policy are revealed. It is proved that one of Blok’s notes is actually an answer to the questionnaire sent by Vityazev in 1921 to prominent scholars and cultural activists.
Impact of Security in Blockchain Based Real Time Applications

How to protect data against illegal access and modification has been a long desire by those who wishes to share confidential ideas. With the modern time highly secure cryptographic techniques as well as intrusion detection systems emerged to solve such issues. Because of centralization many of the time it has been recorded that intrusion within the system occurred and people bears huge loss of financial and confidential data. In this paper, it is presented how blockchain technology challenges the approach of centralization and developing trust among users within a peer to peer network. Author presents how this technology is working on a mechanism through which they may distribute control and decision power among the entities within the blockchain network. In this paper, it has also been presented that data hacking for hackers may not be impossible but it will surely not be effortless to do.
The Studying the image of fear in primary school age

The relevance of the research is due to the role of the image of fear in the modern psychological literature on art therapy and drawing techniques, that do not correspond to the new technologically determined trends in the development of the world, and carry outdated information about images reflecting children's fear. The presented study reflects the manifestation of the image of fear in younger schoolchildren by means of an art-therapeutic method of work, conversation and analysis of children's drawings, revealing new images of fear and its sources due to the trends of the modern social world. The study of fear, in the modern interpretation of the changing world, is important for understanding its essence, the threats it carries, the peculiarities of the manifestation and development of the personal potential of schoolchildren. Fear - as an indicator of a child's development, it can reflect the level of development, the individuality of perception of the world and the peculiarity of adaptation. The problem of the child's fears reflects family well-being, revealing the relationship between parents and the child, their attitude to his development and position in social, interpersonal, interethnic interaction affecting the orientation and adaptation of the child in the socio-cultural environment. The study involved 50 primary school-age students of the Nur–Sultan gymnasium. In the course of the article, three main sources of fear were identified, a new image of fear in the children's drawing was revealed, reflecting the external influence of the Internet space on primary school-age students. The results obtained allow us to conclude that primary school age is one of the most difficult age periods in which neurotic fears may appear, which subsequently worsen the emotional state of children.
Male and Female EFL Students' Language Learning Strategies

The study's objectives were to (1) identify language learning strategies used by students in EFL classrooms and (2) distinguish between male and female language learning strategies. The research was carried out at STKIP YPUP Makassar in July 2021. The population of this study was 6th semester students, who comprised the sample class 6.1. Questionnaires were used as the instrument. In this study, the descriptive research method was used to describe the language learning strategies of students in an EFL classroom. The SILL questionnaire (Strategy Inventory for Language Learning) version7.0 was used to collect data. The collected data were analyzed by calculating the students' responses to the questionnaire and categorizing them to a specific level of SILL profile result. This study discovered that (1) the most frequently used language learning strategies by students are social strategies, with a mean score of 3.91, cognitive strategies, with a mean score of 3.79, compensation and affective strategies, with a mean score of 3.68, metacognitive strategies, with a mean score of 3.65, and memory strategies, with a mean score of 3.65. Indirect strategies included metacognitive, affective, and social strategies. The results revealed that direct strategies were frequently used, as evidenced by its mean score, in social strategy. It can be concluded that students prefer indirect strategies to direct strategies when learning a language. (2) There is no statistically significant difference between men and women in their use of language learning strategies. Male students use cognitive strategies more frequently than female students, despite the lack of a statistically significant difference, while female students use social strategies more frequently than male students. Students used a variety of language learning strategies, according to the findings of this study.
Students’ Emotional Intelligence, Self-Efficacy, and Schemata in Speaking Performance

The objectives of the research were to find out the level of students’ emotional intelligence, to find out the level of students’ self-efficacy, to find out the level of students’ schemata, to find out there are emotional intelligence, self-efficacy, and schemata simultaneously have significant effect in speaking performance, and to find out which one emotional intelligence, self-efficacy, and schemata has granted contribution in speaking. This study employed mixed method research. The technique of taking sample was volunteer sampling. The population of this research was 35 students of Muhammadiyah University of Makassar. The research data were collected using questionnaire, speaking test, and interview. The data were analyzed by using Likert scale, descriptive statistic, and multiple linear analyses through SPSS 23 version. The result of this research showed that (1) the students of Muhammadiyah University of Makassar have high emotional intelligence. It was proven by mean score 77.40, and it was in 68-83 range score. (2) The students of Muhammadiyah University of Makassar have high self-efficacy. It was proven by mean score 81.57, and it was in 68-83 range score. (3) The students of Muhammadiyah University of Makassar have high schemata. It was proven by mean score 82.89, and it was in 68-83 range score. (4) Emotional intelligence, self-efficacy, and schemata simultaneously have significant effect on students speaking performance as evidenced by F count = (5.851)&gt;F table (2.90). (5) The independent variable that most influences speaking performance in this research is schemata.
Human Tracking and Profiling for Risk Management

Infectious viruses are conveyed via respiratory droplets produced by an infected person when they speak, sneeze, or cough. So, to combat virus transmission, the World Health Organization (WHO) has imposed severe regulations such as mandatory face mask use and social segregation in public spaces. The ’Human Tracking and Profiling for Risk Management System (HTPRM)’ is an online application that identifies the risk associated with failing to follow proper health practices. This proposed approach, which is divided into four components, utilizes ’You Only Look Once (YOLOv3)’ to detect face-mask danger, which would be determined based on two factors: wearing the face mask properly and the type of mask (Surgical,k95, homemade, and bare). The second phase is to use OpenCV and SSD-Mobilenet to evaluate the value of a one-meter space(Social Distance) between people. The system recognizes the maximum number of individuals that can be in the vicinity of the specific hall that uses YOLO(V3) and image processing as the third procedure. In the last processing, the system identifies each person’s behavior, classifies it as uncommon or not, and calculates the risk associated with each category. Finally, the system computes the overall risk and generates a warning alarm to notify the user that they are in a dangerous scenario.
Security Analysis of Smart Watch and Band Devices

Wearable devices such as smartwatches and smartbands generate large volume of personal information through sensors, which, in turn, can be used for providing a range of services to users, such as heart rate measurement and making calls. As the generated data are preserved in the internal storage of the wearable device, getting access to this data from the device&#x2019;s internal storage can prove useful in criminal investigations. We, therefore, propose a forensic model based on direct connections using wireless or internal/external interfaces beyond indirect forensics for wearable devices. The forensic model was derived based on the ecosystem of wearable devices, and the proposed forensic methods were divided into logical and physical forensic methods. To confirm the applicability of the forensic model, we applied it to wearable devices from Samsung, Apple, and Garmin. Our results demonstrate that the proposed forensic model for wearable devices can be successfully used to derive artifacts such as device information and health data.
Derivational Adjectives Found in Forrest Gump Novel

This article discussed about morphosyntax that deals with the combination of morphology and syntax. The article was aimed to find out the derivational suffixes forming adjectives and the syntactic functions of the adjectives found in the data source. The data of this article were taken by library research method and note-taking technique from the novel Forrest Gump, which published in 157 pages and 26 chapters by Pocket Books in 1994. This novel is written by Winston Groom. The collected data were analyzed descriptive qualitatively based on the theory of Morphology and Syntax by Quirk, et al (1985). This article revealed that there were the attachment of suffix {-ful}, {-less}, {-ly}, {-y}, {-al}, {-ial}, {-ic} and {-ous} changed the base noun into adjective, it is called denominal adjectives. Then, deverbal adjectives which made the word class changed from verb into adjective, there were the attachment of suffix {-able} and {-ive}. Meanwhile, for the syntactic functions there were three types found, they are attributive, predicative and postpositive.
CURRENT SITUATION AND PROSPECTS FOR THE APPLICATION OF ICT IN TEACHING MATH IN COLLEGES

The article substantiates the global importance of mathematics. The emphasis is made on the fact that mathematics is a super-science. Not only natural sciences, even philological ones often need mathematical laws. An example was given from a specific area - linguistics. The language rules were proved with the help of mathematical theories, more specifically, the compatibility of the concepts of Euler's mathematics. Hence the conclusion was drawn: the need for the development of mathematical knowledge is dictated to us by life itself. Naturally, the development of knowledge in the field of mathematics depends on the quality teaching of this subject. In the modern world, quality teaching is unthinkable without the use of ICT. Therefore, the article reflects the teaching of mathematics in colleges using ICT. Listed are the names of research studies focusing on the teaching of mathematics in colleges. The different approach of scientists on this problem was analyzed. It was noted that each study has its own distinctive features. The main attention was paid to the independence of students, and all the methods used were calculated on the independence of students, since it allows students to solve difficult tasks with complex mental operations. It was especially noted that the presentation of examples and counterexamples plays an important role in the development of logical thinking of students in colleges. They can be used in each section. Then the methodological ideas were reinforced with specific examples. A conclusion is made at the end of the article.
Competency-based approach to professional training in the context of the expansion of digital globalization

Introduction. Based on the analysis of changes in the educational environment described in the pedagogical, sociological, and philosophical literature, the authors of the article seek to identify the determinants and possibilities of a competency-based approach to vocational training. Purpose setting. The tasks of modernizing vocational education in the context of digital globalization come into view. The breadth of the research fi in which digital globalization is determined, its tendencies, essential features have led the authors to the need for methodological research. The inconsistency, thematic scattering of studies that have the object of digitalization in all its manifestations predetermined the interest in professionalism, where the synthesizing origins of modern universalism are found. Under the influence of informatization and digitalization, a special sphere is emerging, which becomes the foundation of professional activity. Methodology of the study. The article proves that the competency-based approach, which has repeatedly demonstrated its heuristic significance, is clearly not used enough when implementing the tasks of digitalization, minimizing its negative consequences, and enhancing the potential of information culture. It is shown that basic competencies, professional competencies and basic qualifications have a complex, including hierarchical structure. The comprehension of the competency-based approach is proposed in connection with the post-non-classical model of vocational education and the paradigms of pedagogical influence and personal social activity. Results. Increasing the openness and flexibility of the educational process makes new demands on its organizers. The transition from empirical research to theoretical rethinking of specific tasks should be based on methodologically verified guidelines. Scientific research is based on philosophical, general scientific ideas and reflexive-methodological analysis. Reflexive practice at the same time affects all levels of professional training and its origins at the general educational level. Conclusion. The competency-based approach opens up new opportunities for practice-oriented education, and the open nature of the paradigms applied in this case will allow us to see the prospects for digitalization.
Swarm Intelligence applied to SQL Injection

The Open Web Application Security Project (OWASP) (a non-profit foundation that works to improve computer security) considered, in 2021, injection as one of the biggest risks in web applications. SQL injection despite being a vulnerability easily avoided has a great insurgency in web applications, and its impact is quite nefarious. To identify and exploit vulnerabilities in a system, algorithms based on Swarm Intelligence (SI) can be used. This article proposes and describes a new approach that uses SI and attack vectors to identify Structured Query Language (SQL) Injection vulnerabilities. The results obtained show the efficiency of the proposed approach.