Reviewerly/exHarmony huggingface dataset:
Mobile Learning: Fonik Application (FA) Using Spaced Repetition Algorithm (SRA) in The Covid-19 Era

Phonics is one of the techniques to teach kids to learn alphabet. This technique used the sound of alphabet to teach kids. This project is to improve word reading skills by learn how to spell. The user’s mood of study can increase by the time. The memorizing technique which is Spaced Repetition Algorithm that implemented in the application can help the slow learner that have problem to memorize. The spaced repetition approach will strengthen memory, although at another efficiency using intervals. The Fonik Application (FA) target user is slow learner. This project provides the video of lips motion of how to sound the alphabet using phonics technique. It also provides two tests to view the user understanding of the learner. The tests are test of pronunciation and test of hearing. In pronunciation test, user needs to input the voice of the word that display in the screen. Speech recognition will recognize whether the speech that user input is correct or wrong. In the hearing test, user need to recognize the sound of the phonics that have given and answer the right alphabet by choosing the correct alphabet.
APPLICATION OF INNOVATIVE TECHNOLOGIES IN PRACTICAL WORK WITH FUTURE CHOREOGRAPHY SPECIALISTS

The expediency of innovative technologies application in practical work with future choreography specialists in higher education institutions has been substantiated. It has been established that the value of innovative technologies implies the unleashing of the future choreographers’ creative potential, formation of a stable motivation to learn, ensuring a high creative result in the educational process. On the basis of general scientific (analysis, systematization, generalization) and specific scientific (comparative analysis) methods of scientific research, the differences of the innovative technologies has been found out. As a result, pedagogical, organizational and managerial innovations are used in the practical work with future choreography specialists.&#x0D; It has been proved that the creation and realization of various types of programs (author’s, block, integrated), additional developing disciplines (gymnastics, bases of acting skill), game technologies, technologies of “project training” (report concert, master class, academic show), information technologies (digital, video and audio technologies, computer multimedia technologies, artificial intelligence technologies, Internet and communication technologies, virtual reality modeling technologies), non-traditional methods of pedagogical process organization (binary approach, trainings) are fundamental in pedagogical innovations.&#x0D; Non-traditional forms of the educational process organization, technology of “collaborative learning”, innovative methods of space and time organization, technology of health-saving learning, information technologies are components of organizational innovations that provide future choreographers with a sense of tolerance, collectivism and also have a psychological influence on emotional state, behavior, attitude to classes, the level of mastering general and professional competences. The professional activity of future choreography specialists, in particular leadership of the choreographic team, requires mastering managerial innovations (marketing and advertising, basics of entrepreneurship, management principles, information provision of management, cultural and artistic projects, basics of business planning, fundraising techniques) that form image and reputation of the latter. The study does not include all the aspects of the issue of using innovative technologies in practical work with future choreographers and shows the need for its further development in such promising areas as optimizing the content of higher choreographic education by means of information technology, especially teaching choreographic disciplines in conditions of distance learning.
INNOVATIVE APPROACHES TO FUTURE TEACHERS’ TRAINING IN HIGHER EDUCATION INSTITUTIONS

The paper describes the results of a research study on the problem of future teachers’ training based on the analysis of scientific literature and law regulated documents. The analysis revealed two main innovative approaches (regulatory-directed and subjectively intended) to future foreign languages teachers’ training in institutions of higher education in Ukraine that appear in the new changes in higher education in particular. The authors found out that mentioned innovative approaches should be evaluated as the most powerful and positive in their results: structural and semantic upgrade of future teachers’ training in higher education institutions (three-level model of training, additional profiles training, competence-oriented content training) and provide its further resource update (personnel, informational, technological, etc.).
Development of Digital Signage for Primary School using Raspberry Pi

Nowadays, digital signage is a modern advertisement alternative that took over billboards and other traditional advertisements. In the context of education, digital signage provides students, teachers, and parents with an effective way of communication. This research proposed designing and developing low-cost digital signage using Raspberry Pi to be stationed at primary school. An LCD monitor and Raspberry Pi 4 single-board computer were utilized to display various informative content, such as examination date, daily schedule, and other announcements. Two methods were proposed, including Screenly and WordPress on a web server. The WordPress version needs to install PHP, MySQL, and Nginx web server, which can be accessed and updated remotely. Results showed that the free version of Screenly would be adequate for a simple announcement, but the developed WordPress version will be more appropriate and flexible for the primary school purpose.
FEATURES OF CREATING A METHOD OF PROJECTS FOR THE FORMATION OF COGNITIVE ACTIVITY OF ENVIRONMENTAL STUDENTS

The article substantiates the peculiarities of the implementation of the method of ecological projects as one of the effective ways of organizing the cognitive activity of students-ecologists. Features of creation of ecological projects are resulted. The structure of the ecological project and its implementation in the organization of project activity in the process of training students of ecologists is revealed. The authors prove the effectiveness of the application of the method of ecological projects in the formation of cognitive activity of students-ecologists.&#x0D; The project method is a means of effective and high-quality development of scientific creativity of students of ecology. During the project activity, future specialists acquire the following skills and abilities: independently find a way to acquire knowledge, obtain the necessary information, offer several options for solving the problem, put forward their own hypothesis, identify environmental problems. Ecology students develop a desire for scientific creativity and self-study. They apply knowledge in practice. using the basics of project activities. The project method allows the student-ecologist to rise to a higher level of scientific development.
Discriminative Image Enhancement for Robust Cascaded Segmentation of CT Images

Objective: Cascaded/attention-based neural network has become common in image segmentation. This work proposes to improve its robustness by adding discriminative image enhancement to its attention mechanism. Unlike prior work, this image enhancement can also be applied as data augmentation and easily adapted for existing models. Its generalization can improve accuracy across multiple segmentation tasks and datasets. Methods: The method first localizes a target organ in a 2D fashion to obtain a tight neighborhood of the organ in each slice. Next, the method computes an HU histogram of a region combined from multiple 2D neighborhoods. This allows the method to adaptively handle HU-range difference among images. Then, HUs are nonlinearly stretched through a parameterized mapping function providing discriminative features for neural network. Varying the function parameters creates different intensity distribution of the target region. This effectively enhances and augments image data at the same time. The HU-reassigned region is then fed to a segmentation model for training. Results: Our experiments on liver and kidney segmentation showed that even a simple cascaded 2D U-Net model could deliver competitive performance in a variety of datasets. In addition, cross-validation and ablation analysis indicated robustness of the method even when the number of original training samples was limited. Conclusion: With the proposed technique, a simple model with limited training data can deliver competitive performance. Significance: The method significantly improves robustness of a trained model and is ready for generalization to other segmentation tasks and attention-based models. Accurate models can be simpler to save computing resources.
Supplier Evaluation in Book Retail Industry using Analytical Hierarchy Process (AHP)

Since the introduction of E-commerce in book retail in India, it has become important for the vendors and store owners in book retail industry to source their products from the correct suppliers, in order to compete with E-commerce giants. This paper focuses on proposing a structured model for evaluating suppliers in Book retail industry in India, using Analytic Hierarchy Process (AHP). This proposed model is evolved using evidence from an observed study in Tier 2 city of India. The model takes into account the various factors which are considered by the vendors in Book Retail Industry while placing their orders of books with different suppliers. The criteria considered for this model includes, Discount Offered (Cost), credit terms, return policy, delivery time, Genuineness (Quality) of product. However, Discount Offered and Genuineness of product are two important factors out of all. This proposed model can be used by the vendors to further select the best supplier for sourcing their product.&#x0D;
Classification among Image Enhancement Techniques for Computed Tomography scan by using CancerNet neural network

Enhancement of cancerous images is a vital section of image preprocessing for Computed Tomography imaging classification. The combination of computer added pictures in X-ray is widely used for medical imaging. Basic enhancement techniques like Pixel wise Enhancements and Local operator based operation on computed Tomography (C.T.) scan are mainly used in preprocessing by using an artificially based model of the medical imaging. The study is focused on selecting the better among basic enhancement methods by using the cancerNet neural network structure. Whereas CancerNet is a widely used Convolutional neural Network structure for classification based study for cancerous medical image.
TECHNICAL PHENOMENA AS A MEANS OF FORMATION TECHNICAL LITERACY OF SCHOOLCHILDREN

The article substantiates the expediency of using narratives about technical phenomena in mechanical transmissions in the profile education of high school students as a means of forming technical literacy. Based on the methodology of the activity approach and the narrative way of interpreting technical knowledge, it was found that the operation of semantic information of technical content is the main condition for its perception and understanding by students. It was found that the stimulation of meaning making contributes to the activation of the humanitarian potential of technical knowledge. To master the knowledge of technical phenomena by high school students, it is necessary to choose the subject of interpretation, to include it in specific story lines. Having understood the explanation of the plot lines, students will realize the value-semantic aspects and study a fragment of the modern technosphere. It is established that the narrative explanation of technical phenomena in mechanical transmissions as the main elements of drives of working machines is organically intertwined in the context of the cultural concept of technological education of schoolchildren. The main learning outcomes of students will include experience of cognitive activity, experience of reproductive activity, experience of creative activity, experience of emotional and value relations. Emotional-value relations are acquired using reflection. The attitude of students to the object of knowledge is one of the main conditions for the transformation of technical knowledge into beliefs, which serve as a guide in the perception of the phenomena of the technosphere and contribute to the solution of technical problems. Technical ideas, beliefs and values will form the basis of technical literacy of high school students.
APPLICATION OF TASKS OF PERSONAL AND SOCIAL CATEGORIES IN TEACHING MATHEMATICS TO LYCEUM STUDENTS AT THE STANDARD LEVEL

Today, the study and use of this concept becomes relevant for the methodology of teaching mathematics, as the socialization of students, among other things, involves: mastering a certain system of knowledge and norms; acceptance of values and patterns of behavior; purposeful influence on the personalityRegarding the teaching of mathematics, the problem of socialization and personal development of students arose in the works related to the International Monitoring of the Quality of Education PISA. Special tests have been developed for the PISA. In these tests, each math task belongs to one of four contextual categories (personal, professional, social, scientific). This provides students with tasks that present a wide range of personal interests and the range of situations that students may face in their lives.The analysis of native and foreign (Poland, USA) mathematics textbooks for the inclusion of tasks of personal and social categories is carried out in the article. It is concluded that the tasks of these categories are presented in mathematics textbooks for different classes and different author groups. The place and significance of the tasks of personal and social categories in the socialization of the younger generation are revealed in the article. Forms and methods of working with such tasks in the process of teaching mathematics to students are described. Specific examples of tasks for each of the categories are given.
دور القيادات التربوية في مواجهة التحديات والتغيرات الحديثة في ظل جائحة کورونا The role of educational leaders in facing recent challenges and changes in light of the Covid-19 pandemic

هدفت الدراسة التعرف على دور القيادات التربوية في مواجهة التحديات والتغيرات الحديثة في ظل جائحة کورونا.لتحقيق أهداف الدراسة استخدم الباحث المنهج الوصفي، فقد تم استخدام الإستبانة کأداة لجمع المعلومات، وقد تکونت الاستبانة بصورتها النهائية من (25) عبارة موزعة على أربع محاور: وهي (الدور المعرفي، والدور الإداري، والدور التقني، والدور الإشرافي) وقد تم استخراج معايير الصدق والثبات لاداة الدراسة حسب الأصول العلمية، وتم اختيار عينة الدراسة بالطريقة العشوائية والتي تکونت من (100) قائد تربوي في مدينة جده.توصلت النتائج إلى أن المتوسط الحسابي لمجال الدور المعرفي جاء بدرجة مرتفعة جدا والذي حصل على 4.33، کما أظهرت نتائج الدراسة عدم وجود فروق ذات دلالة احصائية في جميع مجالات الدراسة تبعا لمتغير الجنس، والعمر، والمؤهل العلمي، کما أظهرت عدم وجود فروق ذات دلالة احصائية في جميع مجالات الدراسة تبعا لمتغير سنوات الخبرة في المجال الثاني والثالث والخامس، بينما أظهرت ان هناک فروق ذات دلالة احصائية  لبعد  الدور المعرفي  ولبعد  الدور الإشرافي  لصالح فئة  اکثر من 10 سنوات .وأوصت الدراسة بضرورة تعزيز القيادات الإدارية للأمان النفسي حتى يتمکن الجميع من مناقشة الأفکار والأسئلة دون الخوف من التداعيات، وضرورة حرص القيادات الإدارية على تعزيز قوة التواصل بين فرق العمل من أجل مواجهة جائحة فيروس کورونا.The study aimed to identify the role of educational leaders in facing modern challenges and changes in light of the Covid-19 pandemic.To achieve the goals of the study, the researcher used the descriptive analytical approach, the questionnaire was used as a tool to collect information, it consisted of (25) paragraphs distributed on three variables: namely (the cognitive role, the administrative role, the technical role, and the supervisory role). The researcher checked the validity and reliability of the study tool, the study sample was chosen randomly, which consisted of (100) educational leaders .The results of the study showed that the arithmetic average for the cognitive role variable was very high, which got 4.33, and the results of the study showed that there were no statistically significant differences in all variables of study according to the sex, age, and academic qualification variables, it also showed that there are no statistically significant differences in all fields of study according to the years of experience variable in the second, third and fifth variables, while it showed that there are statistically significant differences for the “cognitive role” and “supervisory role” variable in favor of the “more than 10 years” variable.The study recommended the necessity of strengthening administrative leaderships for psychological safety so that everyone can discuss ideas and questions without fear of repercussions, and the need for administrative leaderships to enhance the strength of communication between work teams in order to confront the Covid-19 pandemic
An Automatic Respirator Oil Level Reading Method Based on Instance Segmentation

The promotion of intelligent video surveillance technology has promoted the demand for intelligent image recognition algorithm in the power industry. Power transformer is a very important equipment in substation. In order to realize the automatic reading of the oil level for the transformer respirator, a reading method based on instance segmentation is proposed. Firstly, a Mask Intersection-over-Union (MaskIoU) regression module is added to the standard Mask R-CNN model in order to refine the mask confidence and improve the segmentation accuracy. Then the improved model is used to generate bounding boxes and segmentation mask of the cup and the oil. Finally, morphological operations are applied to the mask and oil level is computed based on pixel ratio of these two kinds of mask. Respirator images collected from substations are used to conduct experiments and the results show that the proposed method is effective in practical application.
THE RELATIONSHIP OF INTERACTIVE COMPETENCE WITH VALUE ORIENTATIONS OF STUDENTS OF TECHNICAL UNIVERSITY

The aim of the study is to identify the relationship of interactive competence and value orientations of technical college students. Research methods – testing on the basis of test questionnaires: “Diagnosis of perceptual-interactive competence N.P. Fetiskin”; “Diagnostics of the real structure of value orientations of a person” (S. S. Bubnova). The empirical base of the study is 350 students of Moscow Technical University. In the course of the correlation analysis, a number of interrelations between the components of interactive competence and value orientations of students of a technical college were revealed. The higher the degree of adequacy of the assessment of personal characteristics of partners in interaction (mutual understanding), the more important are communication, love, respect for people and at the same time the importance of the ability to influence others and manage others, high social status and health increases. The higher the personality’s ability to understand the point of view of a communication partner and the desire to present one’s own point of view for evaluation and understanding by others (mutual understanding), the more important for such a person are health, love, communication with other people, at the same time respect and recognition from others, influence and management of people, high social status. The higher the degree of significance of the manifestations of others, the ability to regulate their own behavior and the ability to self-analyze a person (mutual influence), the more significant are love, help and mercy in others, communication, health, knowledge of the new in the world, nature, man, high social status and managing people, recognizing and respecting people and influencing others, social activism to achieve positive changes in society. The higher the significance of the personal position in joint activities (social autonomy), the more significant the cognition of the surrounding reality, compassion and help to people and less importantly pleasant pastime, rest. The higher the satisfaction with their position in the group, the orientation towards flexibility of behavior and contact within and outside the team (social adaptability), the more significant are love, high social status and management of people, recognition and respect of people and influence on others, social activity for achieving positive changes in society, health. The higher the focus on the effectiveness of joint activities (social activity), the more significant are the search and enjoyment of the beautiful, help and mercy for other people, love, high social status and management of people, recognition and respect of people and influence on others; communication, health. Thus, value orientations are an important component of enhancing online competence.
PERFORMANCE ANALYSIS OF ENHANCED VIDEO ENCRYPTION ALGORITHM

The prevalence of internet, as well as low-cost mobile computing devices, makes video the preferred option for information archival and transmission. Also, the geometric growth in the generation and use of digital videos is massive and challenging to determine. Meanwhile, this growth has come with security and privacy issues such as unauthorized access, piracy, hacking and other digital attack every year. Restricting unauthorized access measure can be adopted to protect multimedia information, but does not guarantee the physical security of information. Cryptography which is a better and more secure approach is therefore required. Thus, this paper presents performance evaluation of Enhanced Novel Selective Video Encryption Algorithm, an AES-based video encryption algorithm. Properties of I frame are used randomly to generate the encryption key and a jump factor is used to determine which of the remaining P and B frame is selected for encryption. The results show that the more frames selected for encryption/decryption, the higher the encryption/decryption time and the higher the encrypted video size. Also, the PSNR value of this algorithm is around 40dB which indicates that the quality of the decrypted video is as high as that of the original video. The performance of this algorithm does not diminish with increase in size of video and number of frames. Hence, this algorithm is scalable, fast and highly secure for video encryption.