Reviewerly/exHarmony huggingface dataset:
An Analytical Review on Feature Reduction for Big Data Analytics using Machine Learning

There is an explosive growth of data due to advancements in computer methods. With ML techniques, working on a really massive quantity of data is a big problem. As a result, handling and computing on a very vast, varied, and diverse dataset seems a difficult undertaking. The purpose of this study is to provide a quick overview of several dimensionality reduction/feature selection techniques. A summary of the contributions of scholars to the development of feature selection methods for huge datasets is provided. This study is driven to create a hybrid, resilient, adjustable, as well as dynamical feature selection approach to classify huge datasets by examining current challenges.
Pedagogical ethics in the system of scientific knowledge and professional practice

The article examines the problem of pedagogical ethics in its broad understanding as scientific knowledge in the aspect of practical assimilation and application of universal, humanistic and ethical values by teachers and their implementation directly in the conditions of professional pedagogical practice.
Institutional repository for global knowledge sharing

An institutional repository is an archive for collecting, preserving, and disseminating digital copies of the intellectual output of an institution. It is a new concept for collecting, managing disseminating and preserving scholarly works created in digital form by users in individual academic institutions. An institutional repository is also a set of services that a university offers to members of its community for the management and dissemination of digital materials created by the institution and its community members. Deposit of material in an institutional repository is mandated by the institution. Some of the main objectives for having an institutional repository are to provide open access to institutional research output by self-archiving in an open access repository, to create global visibility for an institution's scholarly research, and to store and preserve other institutional digital assets, including unpublished or otherwise easily lost literature such as theses, working papers or technical reports. Knowledge sharing is the voluntary process of transferring or disseminating knowledge from one person to another person or group in an organization or the intentional sharing of awareness and experiences among learners with the goal of not only enriching their own individual learning, but also of creating or maintaining a common repository of reusable knowledge objects.However, in this electronic publishing age, academic institutions including universities have increasingly recognised that an institutional repository is an essential infrastructure of scholarly dissemination. It is a means for institutions to manage the digital scholarship their communities produce, maximise access to research outputs both before and after publication and also to increase the visibility and academic prestige of both the institution and authors.
Transforming African Education Systems through the Application of Internet of Things

The study aimed at developing a model for transforming African education systems through the application of internet of things. The internet of things model for Africa developed would allow African countries particularly Namibia to share education materials and resources with other countries across Africa. The idea behind the internet of things model in the education sectors in Africa is to encourage open access to knowledge and information. The study discovered that in African education systems there are no known platforms that are used by African countries to collaborate, communicate and share educational information directly with universities in Africa. Therefore, the present study developed a model for transforming African education systems through the application of internet of things in the Namibian context which will act as a centralized online platform for self -study, new skills-acquisition and self-improvement using materials provided by African institutions of education and higher learning. The platform is open to everyone such as students, educators and members of the public.
Technologies for Developing In-Service Training Programs for Specialists of Educational Authorities

The article presents approaches and the algorithm for developing in-service training programs for specialists of educational authorities, taking into account the current requirements of society, trends in the development of education, the general education management system, expanding the practice of using e-learning and distance learning technologies, as reflected in federal regulatory legal documents, the message of the President of the Russian Federation Federation to the Federal Assembly of the Russian Federation, reports of state and public education authorities, developed on the basis of the best Russian and foreign practices.
A VGG-16 Framework for an Efficient Indoor-Outdoor

Computer vision had reached a new level that allows robots from the limits of laboratories to explore the outside world. Even with progress in this area, robots are struggling to understand their location. The classification of the scene is an important step in understanding the scene. In many applications, a scene classifi- cation can be used such as a surveillance camera, self-driving, a household robot, and a database imaging system. Monitoring cameras are now everywhere installed. The accuracy of scene classification of indoor-outdoor techniques is weak. Using the Convolution Neural Net-work Model in VGG-16, this study attempts to im- prove accuracy. This research presents a new method for classifying images into classes using VGG-16. The algorithm’s outputs are validated using the SUN397 indoor-outdoor dataset, and outcomesdemonstrates that the suggested methodol- ogy outperforms existing technologies for indoor-outdoor scene classification. In this paper, Very Deep Convolutional Networks for Large-Scale Image Recognition” is what we implement. In ImageNet, a dataset of over 14 million images belonging to 1000 classes, the model achieves 92.7 percent top-5 test accuracy. It outperforms Alex Net by sequentially replacing large kernel-sized filters (11 and 5 in the first and second convolutional layers, respectively) with multiple 33 kernel-sized filters. We attain Training loss is 10percent and Training Accuracy is 96 percent in our projected work.
A Hard Road To Travel - Developing tools for low-cost Virtual Reality (VR) systems in the early design phases

This paper updates on the developments in the use of low-cost Virtual Reality devices for Architectural design.The authors established a workflow using the gaming software ``Unity'' to prepare geometry for virtual environments and developed interfaces for a more natural movement inside the virtual world.We will give a summary on the old experiments and explain about our latest develoments in refining the workflow and the interfaces within a new setting.Architects teamed up with civil engineers with a focus on computer science.Due to new hardware developments, we could change the systems from wired to wireless and added several funktions within the overall aim to keep it simple and affordable.
A Graphical Approach for Image Retrieval Based on Five Layered CNNs Model

Image processing is an important field in the computer vision domain. A lot of work has been done for the processing of image data in various fieldslike science and technology, defense, medical, space science for satellite imagery analysis, seismology, traffic control, crime control,publishing, and other emerging research areas.There are different levels of complexities for the accurate retrieval of images as most of the images are affected by different kinds of noise and other factors. In this proposed work, I have performed the work of image retrieval using two methods: firstly, processing for denoising and filtering of the dataset of images taking density parameter 0.7 and adaptive gamma parameter constant value 0.5. The obtained images are then processed by Convolutional neural networks (CNNs). The 5-layer convolutional neural network has been used for the best features extraction and then the algorithm is finally optimized using GA (Genetic Algorithm). In my work I have used 5*5 fold convolutional layers and compared the results with the previous approach Deep Convolutional neural network (DCNN). Finally, the Genetic Algorithm is implemented to obtain the best-optimized value. The proposed work is validated with a graphical-based approach using the mathematical results in terms of peak signal-to-noise ratio (PSNR), mean-squared error (MSE), and the processing time of the algorithm. The result parameters of the proposed algorithm clearly show better performance as compared to the previous approach.
A New Popular Science Book Of The 1920s: About What and How?

Existing researches on early Soviet books focus on illustrated books. This article, however, attempts to build a more diverse view of the children’s book of the 1920s, drawing on a corpus of 142 complete texts of various orientations. In the first part of the article, all the texts in the sample are grouped by subject and characterized. The predominant place is occupied by the so-called production book in the broadest sense: devoted not only to production processes, but technology, technologies, and resources. It turns out that the “resource approach” is characteristic not only for production books, but also for books about animals or human health. The second part of the article is devoted to the analysis of artistic methods used in popular science texts and the analysis of innovative methods in the design and illustration of books.
Information retrieval: Solving mismatching vocabulary in closed document collections

During a search, phrase-terms expressed in queries are presented to an information retrieval system (IRS) to find documents relevant to a topic. The IRS makes relevance judgements by attempting to match vocabulary in queries to documents. If there is a mismatch, the problem of vocabulary mismatch occurs. The aim is to examine ways of searching for documents more effectively, in order to minimise mismatches. A further aim is to understand the mechanisms of, and the differences between, human and machine-assisted, retrieval. The objective of this study was to determine whether IRS-H (an IRS using the hybrid indexing method) and human participants agree or disagree on relevancy judgments, and whether the problem of mismatching vocabulary can be solved. A collection of eighty research documents and sixty-five phrase-terms were presented to (i) IRS-H and four participants in Test 1, and (ii) IRS-H and one participant (aided by search software) in Test 2. Statistical analysis was performed using the Kappa coefficient. IRS-H and the four participants’ judgements disagreed. IRS-H and the participant aided by search software judgments did agree. IRS-H solves the problem of mismatching vocabulary between a query and a document.
Transdisciplinary Approach in Social Robots: A Repertory Grid Analysis on Perception and Anticipated User Experience

Social robot can be defined as a physical robot with capabilities of interacting with their surrounding in a social manner. Social robots should be designed both physically and socially. Designing them requires more than technical knowledge and should be taken as a transdisciplinary process in which engineers, program-mers, behavioral scientists and designers co-work. This study aims to explore the transdisciplinary nature of social robots as an emerging social artefact.A repertory grid study is conducted with 13 participants from different back-grounds to reveal the perceptual keywords about social robots. 50 potential users contributed to an anticipated user experience survey to understand their percep-tions. Outcomes of these two studies are compared. Results show that different professions involved have their own approach and way of understanding that cover varying aspects of social robotic field. This highlights the position of this study which supports transdisciplinary work, and believes transdisciplinarity’s positive contributions in the future research.
Domino effect and other models in the IT process

Based on the information security principles, it is essential to manage the risk of the information systems that collect, store and manage personal data. It can be existed many models and methods for risk identification, analyzing and evaluation, which ensues from each other and often evolving together with information technology. The present research aims to answer whether accident and risk management methods are suitable for identifying, analyzing, and mitigating information security risks.
Arrangement when applying SfM/MVS in public surveying using UAV

In public surveying using UAV, we will organize and introduce items that should be understood. In particular, it is important to understand the functional characteristics of SfM/MVS software, and I would like to briefly introduce the functions.
New ICTs and new needs: teacher training and the accessibility of ICTs in higher education

The incorporation of ICTs in the educational field results in new alternatives, new habits, and new needs. In the case of teachers, their ability to work and integrate technological devices or tools to make them more accessible in the future becomes highly relevant. In recent years, technical possibilities such as Massive Open Online Courses (MOOC), Open Educational Resources (OERs), gamification, video streaming platforms, or transversal managers such as Google Classroom have been emerging. Possibilities that involve different scenarios of the teaching-learning process were especially enhanced during the pandemic caused by SARS-CoV-2. This results in a necessary and continuous reflection on the preparation of teachers in the didactic application of ICTs in the short, medium, and long term. All this is placed in the context of higher education, a stage always linked to technological innovation and one which promotes research in the field of education. For this reason, in the present work, it is exposed in different sections how the technological change has been gaining pace resulting in a conceptual development around ICTs in the classroom. At the same time, it analyses how teacher training in higher education is a problem of the present and future, which is why it acquires a key relevance.
Beauty is in the Eye of the Beholder - Improving the Human-Computer Interface within VRAD by the active and two-way employment of our visual senses

Whether it is via traditional methods with pen and paper or contemporary techniques such as 3D digital modelling and VR drawing, the eye typically plays a mostly passive or consuming role within the design process.By incorporating eye-tracking deeper within these methods, we can begin to discern this technology's possibilities as a method that encompasses the visual experience as an active input.Our research, however, developed the Eye-Tracking Voxel Environment Sculptor (EVES) that incorporates eye-tracking as there design actor.Through EVES we can extend eye-tracking as an active design medium.The eye-tracking data garnered from the designer within EVES is directly utilised as an input within a modelling environment to manipulate and sculpt voxels.In addition to modelling input, eye-tracking is also explored in its usability in the Virtual Reality User Interface.Eye-tracking is implemented within EVES to this extent to test the limits and possibilities of eye-tracking and the Human-Computer Interface within the realm of Virtual Reality Aided Design.
Problems of Modern Aesthetic Education: the Formation of a New Sensuality

The article examines the problems of the need for transformations in the field of modern aesthetic education associated with the processes of strengthening the virtual component in artistic culture and in the vast social sphere, including the field of education.It is noted that in the conditions of visualization and digitalization of culture, synesthesia as a phenomenon of non-verbal associative thinking becomes an important means of maintaining the integrity of the world perception. The prospects of applying synesthetic methodologies in aesthetics and pedagogy are analyzed.
Performance Analysis of Random Forest (RF) and Support Vector Machine (SVM) algorithms in classifying Breast Cancer

Breast cancer is a severe illness cause of mortality among females. In cancer diagnosis, accurate classification of breast cancer data is critical, and the distinction between malignant and benign tumors can help patients avoid unnecessary procedures. The categorization of breast cancer may also be used to determine the appropriate treatment choices. The categorization of patients into benign and malignant categories is a well-known medical research issue. Machine learning in Artificial Intelligence is commonly employed in predicting these types of cancer because it has the lead of finding important aspects from a medical data gathering. Several empirical types of research have used machine learning and soft computing techniques to treat breast cancer. Many people claim that their algorithms are better than others because they are faster, easier, or more accurate. Therefore, which algorithm is more accurate in classifying breast cancer was the research question. Furthermore, the major purpose of this research project is to calculate and evaluate the performance of SVM and RF algorithms in detecting breast cancer more correctly. The Wisconsin Breast Cancer Data Set (WBCD) is adopted for the empirical analysis. There are a total of 699 instances and 10 qualities to be examined. Based on the Accuracy, Reminder, Precision and F1 values, RF has the higher ratios in all four measurement scales with 92.98%, 93.65%, 88.05% and 90.67%, respectively. Therefore, RFs have the best probability of successfully diagnosing breast cancer.
Adult education in the context of modern pedagogy

The article examines the phenomenon of an adult learner&amp;apos;s identity in terms of psychosocial characteristics and needs in the context of the vocational education and training (VET) system transformation and lifelong learning strategy. The aim is to observe the adult education main theories, bring out the current trends and challenges in VET in the context of adult learning. The actual pedagogical approaches and opportunities for modernization of programs and adult education policy at the institutional and system level have been revealed. Recommendations for the development of courses in terms of the specifics of adult learning, requirements for teachers, as well as the involvement and retention of adults in the VET system have been proposed. It has been substantiated that it is necessary to take into account the formation of awareness in learning, to pay attention to the development of cognitive flexibility and reflection of practical experience, as well as to what brings happiness and a feeling of satisfaction from learning outcomes, the formation of insights, receiving feedback and identifying growth points. The practical use is viewed as a possible modernization of VET policy management to enhance adult education in Russia, to update apprenticeship and upskilling programmes, to develop new mechanisms to involve the adult population in VET.
“the Right To A Biography”: Remarkable Women And men In Children’s Literature

The article examines the practice of selecting biographies for children’s reading in the 1860s-1880s on the basis of criticism and bibliographic lists published in the magazines “Pedagogical Collection” and “Women’s Education”. The pantheon of heroes of the Fatherland included writers, statesmen, and rulers, saints, military leaders, artists and musicians, inventors and scientists, famous women. The recommendation of biographies for children’s reading was conditioned by the addressee, the facts of the heroes’ lives, their educational potential, socio-cultural and ideological environment. The images of women and men in biographical literature were presented unevenly. F. Resener’s book “Biographies of Remarkable Women” (published in 1878) highlighted the problem of gender inequality in biographical narratives offered for children’s reading and started the conversation about women worthy to be exemplar. This article presents the lists of recommended biographies, grouped by the type of characters, for students of military educational institutions and students of the Department of Institutions of Empress Maria. The analysis of the lists allows us to examine the trends in the development of biographical literature and approaches to its selection for reading by different reader groups.
Development of professional competence of a leader as a condition for effective management of an educational organization

The article discusses the key skills and competencies that should be possessed by thesuccessful manager of an educational institution. Based on the analysis of modern trends in the development of education, the need for the formation and development of pedagogical competence among the heads of schools, colleges, technical schools and other institutionsis is confirmed. Attention is also drawn to the importance of non-formal education in the preparation of leaders for the organization of effective work and fruitful interaction with all subjects of educational relations.
FROM PEER BULLYING TO CYBERBULLYING

In this study, the concepts of "Peer Bullying" and "Cyber Bullying", which is in the form of a literature review, is discussed.In recent years, the number of studies on peer bullying are increased, which is the most common type of aggression among students at schools.This is because, the peer bullying have psychological, social and physical consequences over the children who bully as well as those who are exposed to being bullied.In addition, the development of the educational technologies, the use of the internet and mobile devices became a part of school of their life, have also led to an increase in the number of cyberbullying cases.Today, it is seen that the peer bullying among students is becoming more intense in virtual environments, such as the internet and mobile phones.Identifying the overlapping between bullying and cyberbullying or revealing and examining the similarities and differences of these two phenomena is one of the important research topics in this field.In this study, it is aimed to contribute to the literature by reviewing the definitions of peer bullying and cyberbullying, which are very common and important problems in most cultures, the similarities and differences between both types of bullying, and the studies conducted around the world on this subject.