Reviewerly/exHarmony huggingface dataset:
Design and Implementation of Online Japanese Examination System Based on Genetic Algorithm

In order to solve the problem of online inspection of students’ theoretical knowledge of Japanese, this paper further optimizes and adjusts the design of the online Japanese examination system and presents an online Japanese examination system based on genetic algorithm. Taking the Japanese test as the research object, on the basis of comprehensively analyzing the problems of slow test paper composition, low success rate, and low quality of traditional online test systems, an intelligent test composition model based on genetic algorithm is proposed, and the implementation process of genetic algorithm and the key steps are described in detail. The results show that the online Japanese examination system based on genetic algorithm can meet the needs of test paper generation in more complex situations. After a long time of operation and continuous improvement, the online Japanese examination system has obtained the adaptability of the best solution. The value of the fitness is 99.666667; when the fitness is at this value, the error of the question type score of the test paper is 0, the average difficulty error on the test paper is 0, and the error of the section test point distribution is 0.666667. This fully illustrates the stability and effectiveness of the Japanese online examination system, which can meet the needs of daily Japanese majors and improve the efficiency of Japanese teaching.
Gesture Recognition Based Virtual Mouse and Keyboard

In this project, an optical mouse and keyboard are created utilizing hand motions and computer vision. The computer's camera will scan the image of various hand gestures made by a user, and the computer's mouse or pointer will move in accordance with the movements of the Users can even conduct right and left clicks using various gestures. Similar to this, several gestures can be used to operate the keyboard, such as the one-finger gesture for selecting an alphabet and the four- figure motion for swiping left and right. Without a wire or other external devices, it will function as a virtual mouse and keyboard. The project's webcam is its sole piece of hardware, and Python is used to code on the Anaconda platform. Here, the Convex hull defects are first constructed, and then an algorithm is generated and maps the mouse and keyboard functions to the defects using the defect calculations. By mapping a few of them with the mouse and keyboard, the computer will recognise the user's gesture and respond appropriately. Index Terms - Optical Mouse, Face Recognition, Virtual Mouse And Keyboard, Anaconda Platform
SOCIAL-COGNITIVE DETERMINANTS OF MANAGERIAL SUCCESS: A REVIEW OF SCIENTIFIC APPROACHES

Determining the necessary skills to meet present and future priorities and assessing resources of managerial activity are the fundamental directions of strategic staff planning in civil service. The necessity of studying cognitive and personal determinants of success in managerial activity is becoming even more urgent insofar as it concerns processes inextricably connected with the person performing it and their qualities and methods of action. It seems important to assess the cognitive styles that significantly influence managerial activity and mediate the influence of a number of other psychosocial variables. In connection with this, the purpose of this study is the theoretical analysis of technologies and methods for studying the features of the social-cognitive domain of managers in the public administration system and its relationship with their managerial success. The least studied here, yet no less significant, are cognitive determinants directly related to personality traits, a subject which is also illuminated in the results obtained in the course of the theoretical analysis, analytical synthesis, analytic induction, typology, and generalization of more than 60 scientific articles from domestic and international researchers. The result is also an analysis and systematization of productive approaches and methods for studying the features of the social-cognitive domain and an assessment of their influence on managerial and career achievements, which has become the grounds for describing the main social-cognitive antecedents that affect managerial success and substantiating the typology of leaders’ subjective managerial conceptions, based on which it is possible to develop programs for their individual development. The study and assessment of cognitive personality traits have significance concerning the search for factors that contribute to strategic change.
LIFE-SENSE ORIENTATIONS AND PROFESSIONAL DIRECTION IN ADOLESCENCE IN MODERN EDUCATION

The article addresses the features of the life-sense area of teenagers learning the 8th and 11th grades of cadets and engineering corps in today's educational environment. The purpose of this article is to identify the specific features of life-sense orientation depending on the individual professional direction of teenagers using the example of the eighth and eleventh grades. We researched the system of their identity senses and values that are included in their professional development and the selection of further professional goals. Based on the empirical survey by using the Life-Sense Orientation Test (D.A. Leontiev), the Value Survey by Milton Rokeach, and professional direction (L.N. Kabardova), we conclude that there are statistically valid differences between adolescence and early adulthood in the area of values, life-sense, and professional development, which shows that professional involvement in adolescence reflects the process of the social and cultural adoption of values and senses and impacts the formation of life-sense orientations in adolescence. The article describes the findings of life-sense orientation and professional direction surveys of teenagers who are learning in engineering and cadet classes. The conclusions can be used to develop and improve cadet and engineering education in today's environment.
A Standardized Approach for Skin Detection: Analysis of the Literature and Case-Studies

Skin detection, the process of distinguishing between skin and non-skin regions in a digital image, is widely used in a variety of applications ranging from hand gesture analysis to body part tracking to facial recognition. Skin detection is a challenging problem that has received a lot of attention from experts and proposals from the research community in the context of intelligent systems, but the lack of common benchmarks and unified testing protocols has hampered fairness among approaches. Comparisons are very difficult. Recently, the success of deep neural networks has had a major impact on the field of image segmentation detection, resulting in various successful models to date. In this work, we survey the most recent research in this field and propose fair comparisons between approaches using several different datasets. The main contributions of this work are: (i) a comprehensive literature review of approaches to skin color detection and a comparison of approaches that may help researchers and practitioners choose the best method for their application; (ii) a comprehensive list of datasets that report ground truth for skin detection; (iii) a framework for evaluating and combining different skin detection approaches. Moreover, we proposed an ensemble of convolutional neural networks and transformers that obtains state of the art performance. All the code is made publicly available at https://github.com/LorisNanni
Who’s Zooming Who: A Case Study of Videoconferencing’s Effects on Faculty and Students

When COVID-19 forced colleges and universities to abruptly transition their in-person courses online in spring 2020, many professors instinctively turned to videoconferencing tools as a substitute for face-to-face interactions. The extensive implementation of synchronous online instruction through videoconferencing presented various opportunities and challenges for faculty and students. Notably, users quickly identified a new phenomenon that the popular press labeled Zoom fatigue. This study presents findings from a qualitative case study on videoconferencing use, its effects, and the problem of Zoom fatigue in higher education. The faculty and student experience with the synchronous, virtual classroom and Zoom fatigue is explored. A theoretical model of Zoom fatigue is presented. Finally, recommendations for the effective use of synchronous online instruction are shared. This study advances a working model of Zoom fatigue to explain the multi-dimensional factors that cause it. The mediated, virtual communication environment offers opportunities and challenges for participants to navigate as they attempt to answer, “Who’s Zooming’ who?”
Heavy Metal Pollution from Listvenitization: In Case of Alakeçi (Bayramiç-Çanakkale/West Türkiye)

This study aimed to investigate the risk of element/heavy metal pollution caused by listvenitization. In this context, the heavy metal pollution risk of listvenite-derived soils in the region where listvenitized ultrabasic rocks are present as a result of hydrothermal alterations in the vicinity of Alakeçi (Bayramiç Çanakkale/Western Türkiye) was investigated with pollution index, geoaccumulation index and integrated pollution risk parameters. For this purpose, Cu, Zn, Pb element concentrations of 350 soil samples collected from the field were determined, and Pollution Index (PI) and Geo-accumulation Index (Igeo) parameters for each element and Integrated Pollution Index (IPI) parameters for each sampling point were calculated. In addition, distribution maps of PI, Igeo and IPI parameters were plotted. When the site is considered in terms of IPI parameter, it has been determined that the site has medium and high pollution risk. When the field is considered in terms of PI and Igeo parameters, a remarkable level of pollution has been detected in the field, especially by Ni, Co and As elements. When the distribution maps of the PI, Igeo and IPI parameters are examined, it has been determined that the pollution risk is higher than the other areas, especially in the areas where hydrothermal alteration is intense and in the tectonic line areas. Although listvenitizations and listvenite zones are important target areas especially for epithermal gold mineralizations, this study has shown that listvenitization areas are also areas at risk of heavy metal pollution. Therefore, listvenitization zones are areas that should be investigated in terms of heavy metal pollution risk as well as epithermal gold mineralization potentials.
Spectrogram Data Set for Deep-Learning-Based RF Frame Detection

Automated spectrum analysis serves as a troubleshooting tool that helps to diagnose faults in wireless networks such as difficult signal propagation conditions and coexisting wireless networks. It provides a higher monitoring coverage while requiring less expertise compared with manual spectrum analysis. In this paper, we introduce a data set that can be used to train and evaluate deep learning models, capable of detecting frames from different wireless standards as well as interference between single frames. Since manually labeling a high variety of frames in different environments is too challenging, an artificial data generation pipeline was developed. The data set consists of 20,000 augmented signal segments, each containing a random number of different Wi-Fi and Bluetooth frames, their spectral image representations and labels that describe the position and type of frame within the spectrogram. The data set contains results of intermediate processing steps that enable the research or teaching community to create new data sets for specific requirements or to provide new interesting examination examples.
ASPEK TEKNIS PENGEMBANGAN KARYA ARSITEKTURAL DI METAVERSE

The term Metaverse has become viral since Mark Zuckerberg introduced it when the company name changed from Facebook to Meta. The illustration video made to explain to the public has succeeded in shaping the image of Metaverse as the development of Virtual Reality technology. Although other companies have different definitions of Metaverse with Augmented Reality technology at its core, Mixed Reality technology is predicted to unite both technologies. The contents in the Metaverse also need to be prepared to fill the virtual world when the ecosystem is successfully formed. Architectural creations as one of the contents have the opportunity to be created and traded as NFT in the metaverse. This paper explores the business and technical aspects that need to be done in the development of architectural creations in the metaverse.
Implementation of Contextual Learning Models to Improve Poetry Writing Skills Based on Ecoliteracy at Elementary School

Writing is one of the language skills. In learning Indonesian, writing skills are needed, one of which is in learning to write poetry. Writing a poem is one of the skills that must be possessed in learning Indonesian, but there are still many students who lack the ability to write a poem. The main factor causing the low skills of students in writing poetry because the learning model applied is less varied. This study aims to describe the planning, implementation, and results of learning to write poetry based on ecoliteracy in fourth grade students of SDN Karang Anyar 03 by using a contextual learning model. Through the application of contextual learning models, students become more active in participating in learning. By giving students the freedom to learn outside the classroom, students will be more enthusiastic and enthusiastic in learning, especially when writing a poem. It also provides meaningful learning for students, especially related to ecoliteracy that is close to students' real lives. The type of research used is Classroom Action Research using the Kemmis and McTaggart models, the stages of research carried out are planning, implementation, action and observation, and reflection. This research was conducted in 2 cycles. Each cycle consists of 3 meetings. The research subjects were fourth grade students at SDN Karang Anyar 03 with a total of 24 students. Data collection techniques used are tests, interviews, observations, and documentation studies. The data analysis technique uses a combined design or qualitatively and quantitatively. The results of the research that have been carried out show that the contextual learning model can improve the poetry writing skills based on ecoliteracy in fourth grade students. This is indicated by the increase in the class average value in the Pre-cycle, Cycle I, and Cycle II. In the pre-cycle, the class average value was 62.3, then it increased in the first cycle to 64.5 and increased again in the second cycle by 76.0. In cycle II, classical completeness was in the very high category because 87% of students scored above the KKM.
Disinformation and hate speech toward female sports journalists

As well as democratizing access to information and strengthening active audiences, the internet also fosters the manipulation of news and the propagation of false and violent content. Although disinformation and hate speech are not new phenomena, they are now expanding out of control, with women, including journalists, among their targets. The aim of this study is to establish the characteristics and magnitude of this problem and determine how it affects Spanish female sports journalists while carrying out their professional activities in the world of sports, a field where male supremacy is evident. This study seeks to identify the most frequent situations where this problem occurs, the types of harassment observed, the profile of the perpetrators, and above all, the consequences for the professional and personal life of these female professionals. A mixed-methods approach is used to measure the extent of this problem and determine the experience and opinion of female sports journalists using an anonymous questionnaire. This qualitative approach is reinforced by in-depth interviews with female sports journalists who have been victims of hate speech. This dual approach enables the identification of paradigmatic models of a cognitive-behavioral nature, with findings that reveal disturbing figures. Indeed, 89.6% of the professionals participating in this study stated that they had been victims of hate speech and other forms of harassment, both through social networks as well as in their work environment, principally questioning their work capacity or mentioning their physical appearance. The profile of the perpetrators was revealed, as well as the perception that this type of aggression is a common practice that can lead to self-censorship. This situation requires that urgent measures be implemented to address this problem, such as the addition of media literacy and gender training to the educational curriculum.
A 3D Cuboid Image Encryption Algorithm Based on Controlled Alternate Quantum Walk of Message Coding

In order to solve various security risks faced by image privacy protection, we propose a 3D cuboid image encryption scheme based on message-encoded controlled alternate quantum walks. Firstly, we calculated the initial parameters of the quantum system and performed a one-dimensional quantum walk to generate a probability distribution sequence. Secondly, we encoded the sequence into a quaternary message using multiple sets of encoded messages to control the alternate quantum walk model, generating a 3D probability amplitude matrix and 3D probability distribution matrix to obtain the 3D quantum hash sequence through the 3D probability distribution matrix. Then, the image was divided into blocks and integrated into a cuboid. The image cuboid was scrambled between layers using the probability value sequence, and the 3D probability distribution matrix was used to complete the scrambling of the cross-section between layers. Finally, we converted each pixel value of the scrambled cuboid into a binary cube and controlled it to perform the rotation operation through the 3D probability magnitude matrix, then used the 3D quantum hash sequence to XOR the obtained cuboid image and tilted it to obtain the final encrypted image. The simulation results show that the image encryption scheme can resist various typical attacks and has good security performance.
Wavelet Pooling Scheme in the Convolution Neural Network (CNN) for Breast Cancer Detection

In this work, the wavelet transformation (WT) under the context of convolution neural network (CNN) is developed and applied for breast cancer detection. The main objective is to investigate the effectiveness of the WCNN pooling architecture when compared to other two famous pooling strategies; max and average pooling, particularly targeting at the features extraction and classifying the phases of breast cancer by avoiding the under and overfitting problems. It is discovered in this work that the combination of WT and CNN outperforms the traditional and typical CNNs (with 96.49% of accuracy 95.81% of precision, 96.73% of recall and 96.23% of F measure).
A Study of The Effects of Short-Term AI Coding Course with Gamification Elements on Students' Cognitive Mental Health

The objective of this research is to study the effect of short-term AI coding course with gamification elements on primary school students' cognitive skill and mental health. The proposed gamification coding activities was designed to help students in comprehending the coding concept, which is often seen as challenging. For 8 weeks, 43 primary school students aged 7 to 12 were randomly divided into a control group and an experimental group. The experimental group learnt AI and basic coding, whereas the control group just learned basic coding. According to the results, students' cognitive skills and mental health have improved.
Considerations On Intellectual Giftedness In National And Global Practice

Today, there is a demand for a creative, gifted person with non-standard thinking and social responsibility.Education and upbringing of gifted children is one of the tasks of schooling.The paper deals with the issues of childhood giftedness, learning and teaching practices at educational institutions for gifted children.Learning technologies in educational activities are emphasized to create conditions enabling to disclose intellectual and creative abilities of gifted students.The paper provides a theoretical review of foreign and domestic literature on childhood giftedness.The concepts of intellectual and creative abilities of gifted students are analyzed in light of upbringing and development in modern society.The author accentuates major trends in scientific views, concepts and theories of giftedness.The authors believe that one of the most relevant innovative learning technologies is critical thinking technology.It makes classes exciting, emotional and developing.The idea is that younger students tailor the learning process themselves, they monitor their progress and measure their performance.The innovative critical thinking technology focuses on the development of thinking skills; the ability to analyze various sides of phenomena; the ability to make comparisons; the ability to interpret information; the ability to find cause and effect relationships; ability to creatively process information.
National Games And Methods Of Intellectual Development In Education: Ethnocultural Aspect

The revival of intellectual national games, the popularization and realization of their didactic potential, and the dissemination of original teaching methods recognized by the pedagogical community, aimed at developing mental activity in the learning process, can enrich the education system.In the context of growing globalization and the mutual influence of educational systems, the reverse process is also taking place, the preservation of the unique, original, and reflected in the culture of the people, the preservation of the cultural values of the people for solving modern problems of upbringing and education.The task of preserving cultural traditions and ethnocultural diversity is facilitated by the holding in the Russian Federation this year of the Year of the Cultural Heritage of the Peoples of Russia.National intellectual games in the modern multicultural educational space are a resource for the mental development of schoolchildren in various forms of additional education.The article gives a brief overview of intellectual games in the history of the Kalmyk people, reveals the potential of using national intellectual games in educational institutions of an ethnocultural orientation, as well as an analysis the most famous puzzles aimed at developing logical thinking in children, speed, and accuracy of mental operations.The variety of approaches to the development of training and education in regional educational institutions, and the mutual enrichment of the education system make the national system of the country more stable, open, and adaptable in a changing world.