Reviewerly/exHarmony huggingface dataset:
Using 3D Tools to Design CCTV Monitoring System for Ghanaian University: A Case of C.K. Tedam University of Technology and Applied Sciences (CKT-UTAS)

CCTV monitoring system is an essential security tool for visual surveillance accelerating the investigation in potential criminal activities when the need arises. Although expensive, universities mostly with public-access campuses in general, all need this system mainly to maintain safety and security in real-time, allowing legitimate students and staff to access campus resources and concurrently preventing any unauthorized persons access within the campus as well as responding to incidents with necessary action. C. K. Tedam University of Technology and Applied Sciences (CKT-UTAS) is a university in the Upper East Region of Ghana that does not have such a monitoring system. Since it is a newly established public university, its allocated funds are limited and could not be used to establish such an expensive system. To supplement their ongoing efforts in building security monitoring system, this study constitutes the blueprint procedures for building economical but reliable and efficient CCTV camera system for monitoring the property on campus and also the in and out of students and university staff members. The CCTV system was tested in monitoring vantage security post of the University. After observing and analyzing the trends in data from both the physical and our proposed automated monitoring approach, it can be concluded that the CCTV camera setup outperforms the physical and manual form or monitoring vantage security posts on University campus. Since the of monitoring security post using the proposed CCTV setup is advantageous in requiring lesser human effort and skills, it can be recommended for universities with low income-flow and low budget. This probably can make the university campus more secure and reliable.
A Unique Method for Detecting and Characterizing Low Probability of Intercept Frequency Hopping Radar Signals by means of the Wigner-Ville Distribution and the Reassigned Smoothed Pseudo Wigner-Ville Distribution

Low probability of intercept radar signals, which are may times difficult to detect and characterize, have as their goal ‘to see but not be seen’. Digital intercept receivers are currently moving away from Fourier-based techniques and toward classical time-frequency techniques for analyzing low probability of intercept radar signals. This paper brings forth the unique approach of both detecting and characterizing low probability of intercept frequency hopping radar signals by employing and comparing the Wigner-Ville Distribution and the Reassigned Smoothed Pseudo Wigner-Ville Distribution. Four-component frequency hopping low probability of intercept radar signals were analyzed. The following metrics were used for evaluation: percent error of: carrier frequency, modulation bandwidth, modulation period, and time-frequency localization. Also used were: percent detection, lowest signal-to-noise ratio for signal detection, and relative processing time.
A Website to Order Food Online in University

This Website is used to order food online in universities or colleges. It saves time by pre-ordering your favourite meals, snacks, and drinks from your campus by using this website. In this website students needs to register their personal data and a password and then login to the website and the items that are present in the university canteen will be visible, once you select your items according to your preferences then add them to the cart with quantity you needed. The Registered data will be saved in the database, the website can be created by using HTML, in front end by using CSS language and in backend by using PHP language. Using this website reduces the time in which we use to order food and waiting time to receive food.
Constructing a Challenging Instruction Repertoire in a Private Institution

This study determined to gauge if the given program outcomes for teacher education programs are evident as well as the indicators for beginning teachers are gained by the fourth-year students. This study used a mixed-method utilizing a sequential explanatory design which implies collecting and analyzing quantitative and then qualitative data in two consecutive phases within one study. A survey – questionnaire adapted from a standardized questionnaire, the Course Description Alignment Tool, which was used in the study "General Education Science and Mathematics Courses of Philippine Normal University’s Outcomes-based Teacher Education Curriculum: Intents and Actualities," was utilized for the study. The statistical treatments used were proportion, weighted mean and Pearson Product Moment Correlation Coefficient. It was found out that on the extent of the implementation of the Teacher Education programs based on the Commission on Higher Education (CHED) Program Outcomes, the respondents had with them more evident traits from the indicators which were common to all types of schools, given that of the five indicators, all four have a weighted mean interpreted as very evident and only one indicator was just evident. The average weighted mean for the indicators on the program outcomes common to all types of schools was higher than that of the program outcomes common to the discipline. On the extent of the implementation of the Teacher Education programs based on the Department of Education’s Beginning Teacher Indicators from the Philippine Professional Standard for Teachers (PPST), with the seven domains where the indicators were grouped, the respondents had very evident traits on the indicators for domain 2 which was on the learning environment and domain 7 which was on personal growth and professional development. It was concluded that on the implementation of the teacher education programs there were evidences that the students were able to have the required qualities or anticipated traits to become a beginning teacher based on the Philippine Professional Standards for Teachers (PPST) and the Program Outcomes of the Commission on Higher Education (CHED). This implied that the teacher education program had already met some necessary areas for producing a set of good quality educators for schools. It was recommended that a professional and instructional development plan be adopted.
Location of Latent Forensic Traces Using Multispectral Bands

In this paper, a conventional camera modified to capture multispectral images, has been used to locate latent forensic traces with a smart combination of wavelength filters, capturing angle, and illumination sources. There are commercial multispectral capture devices adapted to the specific tasks of the police, but due to their high cost and operation not well adapted to the field work in a crime scene, they are not currently used by forensic units. In our work, we have used a digital SLR camera modified to obtain a nominal sensitivity beyond the visible spectrum. The goal is to obtain forensic evidences from a crime scene using the multispectral camera by an expert in the field knowing which wavelength filters and correct illumination sources should be used, making visible latent evidences hidden from the human-eye. In this paper, we show a procedure to retrieve from latent forensic traces, showing the validity of the system in different real cases (blood stains, hidden/erased tattoos, unlocking patterns on mobile devices). This work opens the possibility of applying multispectral inspections in the forensic field specially for operational units for the location of latent through non-invasive optical procedures.
ANALYSIS OF THE VIDEO GAME MARKET: A STUDY OF CONSUMER GENRE PREFERENCES

This article presents the results of the commitment of consumers of certain psychotypes of personality to various genres of video game market products. When developing a marketing campaign, firms need to thoroughly understand their target audience in order to minimize production and marketing risks. Each genre of video games has a number of unique features that attract, or, conversely, repel the target consumer. A hypothesis was put forward about the connection between the psychotype of the consumer and his genre preferences. Thus, knowing the psychotype of their target audience, firms can develop a new product for it (or adjust the current one), and vice versa, having a finished product in their hands, firms can implement it for a specific target audience knowing its psychotype. The video game market has been analyzed, its main target audience has been identified. An analysis of the results of an empirical study on the relationship between the psychotype and genres of video games was carried out in order to confirm or refute the working hypothesis. The practical testing of the hypothesis was carried out on the basis of an online survey of respondents - individuals. Respondents were offered questions with a binary answer («Yes» and «No») as part of the Eysenck part of the questions to determine the psychotype of the respondent, as well as the author’s part to determine genre preferences. No other response options were included in the survey. Recommendations were given to companies in the video game industry to promote their products and services based on the studied theory and empirical research.
PREPARATION OF FUTURE SOCIAL TEACHERS FOR TECHNOLOGICAL ACTIVITY: SYNERGISTIC APPROACH

The realities of modern society require a polymodal approach to the training of specialists in the social sphere, with emphasis on the formation and development of technological competence in them. At the same time, to prevent eclecticism in the training of higher education students can, if you implement professional training on the basis of a synergistic approach, which integrates a competent, personal-oriented, interdisciplinary and active approach. Thus, there is a problem of development of innovative technologies of social and pedagogical activity, which would meet the demands of modern society and social order of the state. The article attempts to study and systematize the stages of social and pedagogical work with the client, peculiarities of training of the higher education applicants for their realization on the basis of a synergistic approach. On the basis of analysis of algorithms of social and pedagogical work, presented in scientific literature, it is proposed to separate 8 main stages: Stage of establishing contact with the client; the stage of diagnostics; convention-motivational stage; planning stage; forecasting stage; stage of plan implementation; stage of completion of cooperation with the client; stage of professional reflexia. The contents of each stage are presented and the technological peculiarities of their implementation are described. The role of integrative approach in professional training of higher education graduates, formation of their ability to combine theory and practice, building interpersonal interaction with the client as a subject of social and pedagogical work is emphasized. The forms and methods, psychological foundations of development in the applicants of higher education of the necessary professional competence are summarized.
Exploring Parents' Attempt to Conduct Home Literacy Practices for Their Children

In Indonesia, it is quite hard to find a study that raised the topic of home literacy even though the topic is very important to discuss. This research will provide an overview of how parents in Indonesia carry out home literacy practices with their children. Thus this research aimed to explore the types of home literacy practices by Indonesian parents. The researcher collected the data through an interview via Zoom meeting as a method of this research. The data were transcribed and codified under the theory of Burgees, Hect, and Lonigan (2002). For analyzing the data, the researcher uses a thematic analysis. From the findings, it can be known that the mother played a big role in the sustainability of home literacy. While the father’s role in supporting and teaching the Quran or reciting Surah. There are four roles in conducting home literacy as performed by the parents. These are the limiting environment, the literacy interface, the active home literacy environment, and the passive home literacy environment.
An important comparison of software for Scale Sensitive Fractal Analysis : are ancient and new results compatible?

In this paper, I will explore some of the implications of machine learning for archaeological method and theory. Against a back-drop of the rise of Big Data and the Third Science Revolution, what lessons can be drawn from the use of new digital technologies and computational approaches as they are applied to archaeological typologies? In this paper, I explore two key aspects of these approaches - automation and epistemic novelty – and attempt to unravel their implications for archaeological practice. Furthermore, the paper will situate these topics within developments of the philosophy of science and technology and suggest an alternative way to think about machine learning that draws on re-thinking what we mean by machines and automation.
INTEGRATING RESEARCH AND EDUCATION: “HYBRID AND FUSION PREDICTION ОF THE FUNCTIONALITY OF ENERGY CONVERTING ELEMENTS” PROJECT

INTEGRATING RESEARCH AND EDUCATION: “HYBRID AND FUSION PREDICTION ОF THE FUNCTIONALITY OF ENERGY CONVERTING ELEMENTS” PROJECT
LEADING A DEPARTMENT AT A HIGHER EDUCATION INSTITUTION DURING COVID: THE IMPORTANCE OF GROUP REFLECTION

LEADING A DEPARTMENT AT A HIGHER EDUCATION INSTITUTION DURING COVID: THE IMPORTANCE OF GROUP REFLECTION
Executive Functions in the Context of Professional Competencies of Future Teachers

This paper focuses on the scientific analysis of the interrelationships between executive functions and the professional competencies of future teachers. The research aims to reveal this relationship by measuring the interaction styles of future teachers (organiser, helping, understanding, leading to responsibility, insecure, dissatisfied, reprimanding, strict), didactic competencies (planning and preparing lessons, lesson implementation, classroom climate, diagnosis and evaluation, self-reflection), teaching styles (manager, knowledge-oriented, goal-oriented, supportive) and the level of their executive functions (planning, time management, organising, emotional regulation, behaviour regulation). The most significant findings are the moderate relationship between the executive functions and the interaction styles of the teaching adepts and between the executive functions and the didactic competencies of the teaching adepts. We found no statistically significant relationships between executive functions and teaching styles.
DIGITAL COGNITIVE TECHNOLOGY OF DISTANCE LEARNING BASED ON A UNIFIED ARTIFICIAL IMMUNE SYSTEM

1 Institute of Information and Computing Technologies (KAZAKHSTAN)2 Kazakh-British Technical University (KAZAKHSTAN)
Compressing BERT for Binary Text Classification via Adaptive Truncation before Fine-Tuning

Large-scale pre-trained language models such as BERT have brought much better performance to text classification. However, their large sizes can lead to sometimes prohibitively slow fine-tuning and inference. To alleviate this, various compression methods have been proposed; however, most of these methods solely consider reducing inference time, often ignoring significant increases in training time, and thus are even more resource consuming. In this article, we focus on lottery ticket extraction for the BERT architecture. Inspired by observations that representations at lower layers are often more useful for text classification, we propose that we can identify the winning ticket of BERT for binary text classification through adaptive truncation, i.e., a process that drops the top-k layers of the pre-trained model based on simple, fast computations. In this way, the cost for compressing and fine-tuning, as well as inference, can be vastly reduced. We present experiments on eight mainstream binary text classification datasets covering different input styles (i.e., single-text and text-pair), as well as different typical tasks (e.g., sentiment analysis, acceptability judgement, textual entailment, semantic similarity analysis and natural language inference). Compared with some strong baselines, our method saved 78.1% time and 31.7% memory on average, and up to 86.7 and 48% in extreme cases, respectively. We also saw good performance, often outperforming the original language model.
Generalized Multiquadric Neural Networks in Image Reconstruction

This work aims to numerically investigate the performance of the multiquadric (MQ) radial basis function in more general formats for image reconstruction applications. Desired features, i.e., accuracy and shape parameter sensitivity, of each form is numerically compared and explored. The famous Lena image is damaged using two levels of damage: 20% and 40%, in a Salt-and-Pepper manner. It has been discovered in this work that β=3/2 produces reasonably good accuracy and is least affected by the change in shape parameter while keeping both the CPU time and the condition number reasonably acceptable. This finding is promising and useful for further applications of MQ in more complex contexts.
An approach for stock buying with evolutionary optimization algorithms

Providing stock buying with more profit for buyer is challenging procedure in buying operation. In other words, buyers expect more profit with less cost. Many influence parameters cause this procedure being attractive. One of them is liquidity. There are some measurements for liquidity. With complete and detailed model and with detailed variables and in the static environment (with no changing in conditions), we can use common approach for optimization to buy proper stocks, but in a dynamic environment (which many of circumstances are changed) with incomplete models and with noisy variables (probably), common approaches cannot satisfy all requirements. In spite of common approaches for optimization, we can use Evolutionary Optimization Algorithms. In this paper, three evolutionary optimization algorithms (Particle Swarm Optimization, The Wale Optimization algorithm and the Worm Optimization algorithm), in multi-objective mode, are used to buy the stocks of three Iranian banks and then benefits and weakness of evolutionary algorithms are compared.
USE OF ART TECHNIQUES TO PREVENT TEENAGER AGGRESSION IN MODERN CONDITIONS

The article discloses the problem of younger teenagers’ aggressiveness prevention in current challengeable times. The purpose of the article is to determine the benefits of using art therapy during a crisis period, as well as highlight using art techniques in the prevention of aggressiveness among younger teenagers in general secondary education institutions. Theoretical (analysis, synthesis, systematization, generalization) and empirical (survey of children aged 11-12) methods were used to prepare the article.The prevention of aggressiveness among younger teenagers is defined as a direction of socio-pedagogical activity, which involves a set of measures aimed at preventing, limiting, and localizing the phenomenon of aggressiveness among younger teenage children in the social environment. According to the results of the survey, the causes of aggressive behavior of teenagers were revealed (injustice; unpleasant situations and circumstances that provoke them; bullying, insults from classmates; comments from elders, teachers, parents, etc.). Methods of teenagers self-control in cases of strong angry emotions (such as conflict avoidance, communication with friends who keep spirits up, wishful thinking, relaxation, breathing techniques, constructive expression of resentment, etc.) are summarized.It is substantiated that art techniques is an effective method of preventing rising aggression in younger teenagers. It is noted that art therapy is a multifaceted technological tool that is attractive to children and easy to use. The key advantages of using art therapy during and after armed conflicts are highlighted. It was determined that such types of art therapy as video therapy, music therapy, photo therapy, etc., have particular importance now. The specified types are characterized, the advantages of their use in war conditions are outlined. Key considerations of art therapy application in institutions of general secondary education are disclosed.
On the Wavelet Convolution Neural Network for Breast Cancer Image Analysis

The purpose of this paper is to propose and study the structure of wavelet transformation (WT) and convolution neural networks (CNN). To get more insights into its effectiveness, three WCNN architectures are designed and tested against one another seeking which model provides the best performance in breast cancer detection using histopathological images. The Breast cancer histopathological database (BreakHis) is used for this task.
The use of game mechanics in the professional training of future teachers in working with gifted children

The problem and the aim. One of the priorities of modern society is to create conditions conducive to the identification and development of gifted children. The training of teachers, during which the professional competencies of students are expanded to diagnose, support the abilities and talents of students, including those with special educational needs, takes place within the framework of the corresponding master's program. The purpose of the article is to investigate the impact of the use of game mechanics in the training of undergraduates, future experts in working with gifted children, on the quality of their professional training. Research methods. Authors described implementation of the game mechanics "Achievement", "Joint research", "Constraints", "Fun once – fun always", "User progress". Digital services for the gamification of education: visual designer Kodu Game Lab, virtual boards, random selection generators. 44 undergraduates of Vyatka Humanitarian University in the field of Pedagogical education are involved. Pedagogy of giftedness. Practice bases: schools, centers for the development of talented children, Orel State Institute of Culture. For additional research of students' opinions on the influence of game mechanics (on education in general, on work with gifted children, on professional development), the authors have developed a special questionnaire. The survey was performed in the MS Teams environment. The average age of respondents was 24 years (80% of girls and 20% of young people). Pearson’s criterion χ2 (chi-squared) was used for statistical data processing. Results. Gamification of the activities of undergraduates of the experimental group is presented as in the "not computer-based" form (business or board game, research project, etc.) and in the Kodu Game Lab environment. A questionnaire has been developed from three blocks: "Game mechanics in education", "Game mechanics for the development of students, including those with special educational needs", "Game mechanics for the professional development of a teacher". Statistically significant differences in the qualitative changes in the pedagogical system were revealed, χ2 observ. 2 &gt; χ2 critic0.05 (6,71 &gt; 5,99). In conclusion, the directions of modernization of the training of undergraduates, future teachers to work with gifted children are described, in accordance with the results of the survey.