Reviewerly/exHarmony huggingface dataset:
MASTERING THE METHОDS ОF EMPIRICAL RESEARCH AS ОNE ОF THE CRITERIA FОR THE FОRMATIОN ОF SCIENTIFIC CОMPETENCE ОF FUTURE TEACHERS ОF FОREIGN LANGUAGES

The aim of the article is to determine the essence of empirical research methods and justify their importance for research in pedagogy through knowledge of the immediate reality, external connections and relationships. The following theoretical methods became the basis of research: analytical and descriptive methods of elaboration of theoretical and critical sources and resources; generalization of the received scientific data; synthesis and generalization of own long-term experience of preparation of masters − future teachers of a foreign language. The article substantiates the impоrtance оf fоrming a master’s degree in scientific wоrldview, methоdоlоgical culture; mastering the methоds оf cоnducting scientific research in pedagоgy; instilling in students the skills and abilities оf research activities; expanding the scientific eruditiоn оf the future specialist-teacher оf higher educatiоn; develоpment оf creative qualities оf persоnality, ability tо innоvative activity, intelligence. The essence оf empirical research methоds is determined and the impоrtance оf their implementatiоn fоr the implementatiоn оf scientific research in pedagоgy thrоugh knоwledge оf the immediate reality, external relatiоns and relatiоns is substantiated. The essence and grоups оf empirical research methоds are determined and substantiated, which include: оbservatiоn, survey (cоnversatiоn, interview, questiоnnaire), testing, rating, study оf research prоducts (written, graphic, creative and cоntrоl wоrks), study and generalizatiоn оf pedagоgical experience, pedagоgical experiment. The results оf the study allоw us tо see that an impоrtant cоmpоnent оf prоfessiоnal training in higher educatiоn institutiоns оf master students as future teachers is research activities that enhance their cоgnitive activity, fоrm a creative attitude tо sоlving the prоblem оf scientific and pedagоgical research. The researcher is better able tо navigate the ever-grоwing flоw оf scientific infоrmatiоn, prоmоtes the fоrmatiоn оf scientific cоmpetence, and hence the ability tо cоnduct scientific and pedagоgical research aimed at identifying cоntradictiоns in a particular pedagоgical prоcess and оutlining ways tо оvercоme these cоntradictiоns and justify the sоlutiоns. And mastering the methоds оf empirical research allоws direct, purpоseful perceptiоn оf yоung scientists оf the pedagоgical prоcess in natural cоnditiоns.
A framework for initial teacher education in an uncertain and fast-changing world

The chapter reports on a research project that aimed to construct a framework for the design of a one-year secondary school teacher education programme (PGCE). The research project consisted of four phases. In the first phase, literature was reviewed on the features of exemplary initial teacher education programmes. This review was used to frame the empirical investigation (phase two), which focused on the experiences of student and novice teachers (the latter, retrospectively) of an existing PGCE programme. Data were collected through questionnaires, semi-structured focus-group interviews, messages from the instant-messaging platform (WhatsApp), and students’ reflective journals. In the third phase, literature on 21st-century teaching and learning and 21st-century teacher education was explored. The framework was constructed in phase four, drawing on the empirical research and the two-phased literature review. The framework offers a heuristic to facilitate the design of a teacher education programme to educate student teachers for present local needs and challenges as well as the demands of an increasingly volatile, uncertain, complex, and ambiguous (VUCA) world.
Long short-term memory networks for vehicle sensor fusion

Adaptive Cruise Control (ACC) is an important part of automotive autonomy. To have a robust Adaptive Cruise Control system, a well-defined sensor fusion system is required. This paper focuses on feature-level sensor fusion system where three fusion techniques are explored: independent Kalman filtering, interacting multiple model (IMM) filtering, and a novel hybrid technique using a combination of both an IMM Filter and deep neural network (DNN). Kalman Filtering is a popular approach for automotive sensor fusion, but heavily relies on the given kinematic models to make state estimations. We explore the IMM filter to capture multi-model motion as well as a DNN approach to build a data-driven model of the system. Our IMM filter is built with several Kalman Filters featuring different kinematic models. The proposed DNN used is a Long Short-Term Memory (LSTM) network trained on radar and camera data to forecast a vehicle’s state. To overcome the weaknesses in both IMM filtering and LSTM networks, we propose a hybrid technique of consisting of both the IMM filter and the LSTM network. The proposed hybrid system uses a single filter for each sensor. The filtered sensor data is synchronized and used as the input for a trained LSTM network. Our LSTM network was trained on over 100 simulated highway driving scenarios that might occur in an ACC application. Simulations and code were developed using MATLAB and the Autonomous Driving Toolbox. Our hybrid IMM-LSTM system outperformed the independent Kalman Filtering approach in longitudinal and lateral tracking accuracy (RMSE) by 23 percent and had promising results compared to the IMM filter where the tracking error was decreased by nearly 50 percent in certain driving scenarios.
SISTEM INFORMASI PRESENSI GURU DAN TENAGA TENDIK BERBASIS WEB UNTUK MENINGKATKAN PELAYANAN KEHADIRAN YANG AKURAT (Studi Kasus: SMK PUI GEGESIK)

The school attendance system is one of the important things to do to record the attendance of teachers and staff at PUI Gegesik Vocational School. Attendance activities so far still use manual attendance. The purpose of this study is to design an information system that processes attendance data. The method used in the development of this software uses the waterfall model. The expected results in this study are to make it easier for principals to monitor teacher performance and discipline in the attendance process, to create a new system and store it in a well-distributed database, to add facilities that can make it easier for teachers to take attendance and make it easier for admins to obtain reports. The quality of this system produces: Correctness (80 %), Efficiency (60 %), Usability (82 %), Integrity (85 %), and Reliability (75 %).
Socio-cultural eco-project “Quantum transition”

The project of an architectural stylistic eco-ensemble of socio-cultural purpose by two authors from different countries of Italy and Russia with a high degree of tourist and cultural attractiveness of the city with a high degree of payback for the entire project and the organization of jobs at all stages of construction and its operation. It was created with the aim of international cooperation and continuation of the traditional contribution of Italian architecture to the development of the cultural heritage of the host country. A photo of the 3D layout, visualized photos and the quantum philosophy of the project are presented.
Deducing 15 cm detail from 30 cm satellite images with deep learning

We explore the application of single image super-resolution technique to satellite image and its effect on object detection performance. This technique uses a deep convolutional neural network to learn transformations between different zoom levels of image pyramids, also referred to as Resolution Set (Rset). The network can learn the transformations from the 2:1 RSet at a Ground Sample Distance (GSD) of 60cm to the full resolution image at a GSD of 30cm by minimizing the differences between ground-truth full resolution and the derived 2x zoom. After training, the learned transformation is applied to the 1:1 full resolution image transforming the pixels to 2x resolution. The learned transformations has intelligence built in and can infer higher resolution images. We find super-resolution images significantly improve object detection accuracy, improve manual feature extraction accuracy, and also benefit imagery analysis workflows and derived products which use satellite images.
Devanagari Character Recognition Using Deep Learning

The Devanagari script is one of the broadly used scripts of India and is advanced from the Brahmi script. It includes forty-seven number one alphabets, 14 vowels, 33 consonants, and 10 digits. There isn't any capitalization of letters, like in the English language. The Devanagari script includes consonants and modifiers. Deep gaining knowledge of strategies is carried out to extract capabilities and apprehend the characters in an image. A Deep Convolutional Neural Network (DCNN) had been included to extract capabilities and classify the entered images. Consecutive convolutional layers are used in this manner which brings introduced gain withinside the manner of extracting higher-degree capabilities. The output of the CNN layers is fed to the completely related layers. The version has applied the use of Keras libraries on the pinnacle of a TensorFlow backend. Finally, the threat or possibility rating of every person is decided and the person with the very best possibility rating is proven because of the output. Handwritten Devanagari Character Recognition is extra tough in contrast to the popularity of the Roman characters.
Autonomous obstacle avoidance control method based on safe adaptive reinforcement learning

Obstacle avoidance is an important issue in the motion planning of autonomous unmanned systems. Therefore, designing an effective avoidance control method is crucial. For further improving the decision-making process, this paper presents a novel autonomous obstacle avoidance control method based on reinforcement learning that generates a safe motion trajectory in an adaptive manner. First, the barrier function is utilized to design a smooth penalty function in the cost function, thereby transforming the avoidance problem into an unconstrained optimal control problem. Then, adaptive reinforcement learning is implemented by using an actor-critic neural network architecture and policy iteration, in which the critic network uses the state-following kernel function to approximate the cost function while the actor network provides an approximate optimal control policy. During this learning process, the simulated experience is obtained through state extrapolation such that the critic network can use experience replay for reliable local exploration. Finally, simulation experiments on simplified drone systems and a nonlinear numerical system are provided. The proposed method can generate a safe motion trajectory in real time with comparable performance.
FULL-TIME AND PART-TIME EDUCATION IN THE CONTEXT OF THE USE OF TRADITIONAL, BLENDED AND DISTANCE LEARNING: VIEWS OF STUDENTS, PHD STUDENTS, UNIVERSITY TEACHERS

The urgency of the problem is due to the need to find the ratio of traditional and distance learning during the organization of full-time and part-time education. The purpose of the article is to study the views of bachelor and master students, PhD students, high school teachers on the organization of full-time and part-time education in the context of traditional (classroom, face-to-face), blended and distance learning in a classical university. Research methods: theoretical - in order to review scientific papers, formulating the conclusions of the study, etc. (analysis and synthesis, comparison, generalization, etc.); empirical - developing questions and conducting online surveys, pedagogical observation; mathematical - to process the results using the computer program IBM SPSS Statistics 23. The results of the study: we conducted an online survey of 1373 respondents in 2020 and 443 - in 2021. Online survey shows that respondents (in %, respectively bachelor and master students, PhD students, high school teachers) choose the following models of learning organization: full-time education - traditional (classroom, face-to-face) 24,8-29,3%, 12,9%, 20,3%; distance 4,9-7,9%, 2,1%, 0,6%; blended – 62,8-70,3%, 85,0%, 79,1%; part-time education: traditional (classroom, face-to-face) – 8,0-9,0%, 1,4%, 5,6%; distance – 12,4-18,5%; 10,0%, 4,3%; blended – 72,5-79,6%, 88,6%, 90,1%. Bachelor and master students of the same year of the survey express similar views on the choice of learning model for both full-time and part-time education. At the same time, a comparison of most other groups of respondents shows a statistically significant difference (p≤0,05) in such views. Respondents suggest more use of blended and distance learning in all cases, for part-time compared to full-time education.
Extracurricular work of management students to improve the effectiveness of the development of competencies

The purpose of the study is to study the role and features of extracurricular independent work as a tool to improve the effectiveness of the development of competencies by management students. The article systematizes approaches to extracurricular independent work, analyzes the main problems in the field of improving the efficiency of mastering competencies by management students, describes the mechanisms of positive influence of extracurricular work of management students on the level of efficiency of mastering general and professional competencies. Scientific novelty is manifested in a comprehensive study of the possibilities of extracurricular work in terms of improving the efficiency of mastering competencies by management students. As a result, it was found that the types of extracurricular work of management students can be systematized according to the learning objectives (mastering knowledge, consolidating and systematizing knowledge, forming skills, acquiring practical experience); extracurricular work can have the following effects: improving the efficiency of mastering theoretical knowledge and practical skills acquired by a student during classroom work, mastering general competencies, mastering professional competencies. Extracurricular work requires careful planning by the teacher, comprehensive methodological support and availability of advisory support for student managers.
J-Closed Functions via J-Closed Sets in Topological Spaces

In this article, J-closed functions using the concept of J-closed sets and J-open functions using the notion of J-open sets are initiated. The interrelationships of these newly introduced functions with various existing functions are examined and its properties are analysed.The composition of two J-closed function need not be a J-closed function which is proved by Counter Example.The J-closed functions are used to define homeomorphisms using J-closed sets in topological spaces.Homeomorphisms are the isomorphisms in the category of topological spaces-that is, they are the mappings that preserve all the topological properties of a given space. The study of J-closed functions has been done by the following methods: Analytical method of comparing J-closed functions with other existing closed functions. Obtaining counter examples wherever necessary to substantiate the result. Interpreting the results as diagrams. Analysis of preservation of topological properties by J-closed functions.
PROFESSIONAL READINESS OF FUTURE PRIMARY SCHOOL TEACHERS TO THE WORK IN THE INCLUSIVE EDUCATION

In modern terms, the inclusion has become a priority in the educational policy of our state. It is noted that effective and successful organization of the educational process in the conditions of inclusive education is possible only under the condition of special systematic professional and pedagogical training of future teachers with children with special educational needs. The aim of the article is to substantiate and analyze the theoretical aspects of professional readiness of future primary school teachers in the inclusive education within a higher education institution. Research methods: analysis, synthesis, generalization of theoretical aspects of professional readiness of future primary school teachers in the conditions of inclusive education within the institution of higher education. The updated conditions for the functioning of general secondary education lead to the updating the system of teacher training, the restructuring, the special training of teachers in higher education: changes in content (taking into account changes in society), goals and objectives of professional activities of primary school teachers; the formation of pedagogical competence; training on the principle of integrity, system and integration; taking into account the following components: psychological, methodological, scientific-theoretical, special, practical and methodological, as well as the components of professional and personal training of future teachers to work in the inclusive education. The final result of professional training is the formation of pedagogical competence, which will ensure the readiness and ability of the individual to carry out the inclusive education of primary school students in general secondary educational institution.
EUROPEAN CONTEXT OF IMPLEMENTING MEDIA EDUCATION

The article considers the problem of implementing media education, the urgency of which is due to the intensive pace of digitalization of society and the education system in particular, the active influence of media and the Internet, widespread disinformation and propaganda. These changes determine the need for new approaches and forms in education, actualize the development of media education of citizens in Europe and Ukraine. Research and policy initiatives to promote media education and develop media literacy are growing in Europe and Ukraine. Problems of formation and development of media education in the domestic in European contexts are presented in the research of a number of scholars. The aim of the article is to analyse the normative documents of European countries in the field of media education, where it has been implemented for a long time and some theoretical and practical cases have already been developed. The research methods used (document analysis, systematization, generalization, comparison with Ukrainian regulations) allow us to conclude that the European trend is to recognize the importance of media education, focusing not only on the ability to work with media, but also on training active citizens capable of critical thinking and work with information. Media education is currently in the spotlight of the world community, as its active implementation allows to develop media literacy, which is defined among the competencies of the XXI century and includes the ability to think critically, interact and express themselves through information, work with media and create media, disinformation and propaganda. participant in civil society. Analysis of normative documents of European countries in the field of media education proves that the development of media education in Ukraine is in line with European trends, noting the priority of its implementation in the current situation.
Improving Skill of SPSS Software For Biology 3rd Year Students of Samara University in 2021: Action Research

SPSS helped revolutionize research practices in the social sciences. Students in Department of Biology think that SPSS statistical software is very difficult for them, because SPSS statistical software is viewed as a hard science than Biology which is viewed as a soft science. The main aim of this action research is to improve the skill of SPSS software’ in the case of biology of third year Biology section A students at the Samara University in 2021. Among all 46, 35 students were included since they are present on the day of training class. The data from the student’s questionnaire were tabulated and analyzed using descriptive statistical method. For the purpose of analyzing the collected data SPSS version 20 software was used. From the summary statistics of the total 35 students the proportion of male and female students is 5(14.3%) and 30(85.7%) respectively. The residence of the student majority 22 (62.9%) comes from rural areas. Of students 23 (65.7%) are motivated for their future research works to use it for statistical data analysis and graphics. There is high demand SPSS training programs for students as it is mandatory for data analysis. Software training programs like SPSS should be proposed on the curriculum to improve the skill of the students.
MOTIVATIONAL ASPECTS OF SCIENTIFIC RESEARCH ACTIVITY OF STUDENTS OF HIGHER EDUCATION INSTITUTIONS

Professional training of students of higher education institutions involves various activities, the main of which is educational. In addition, of the significant importence is scientific research work, which necessitates the development of appropriate motivation. The aim of the article is to study the motivational aspects of scientific research activity of students of higher education institutions. Research methods: analysis and synthesis of psychological and pedagogical literature − used to clarify the nature and structure of the concept of motivation and the peculiarities of the formation of students' motivation for scientific research work; generalizations - to formulate the author's conclusions. It is established that the motive is what determines a person's desire for a specific, not for any other goal. Motives determine the motivating reasons that determine the purposeful human activity. The leading role in the development of personality and its effective activity is played by motives related to the work itself (professional interests, satisfaction with the process and result of work, overcoming difficulties, the emergence and reinforcement of positive self-esteem). There are types of motivation − positive and negative. The classification of motives of professionally oriented scientific research activity of students (internal and external) is carried out. Among the external motives there are: social (professional development; responsibility for the work; the importance of scientific research work in professional activities; the desire to benefit from their work) and personal (material well-being; career growth; respect for colleagues). Internal motives include: cognitive interests (interest in the studied objects and phenomena; interest in the problem-solving process and scientific research activities), as well as aspirations (aspirations to overcome difficulties; aspirations to intellectual development, focus on successful scientific work). The conditions that have a positive effect on the development of students' motivation for scientific research activity are determined: their mastery of theoretical knowledge in the field of scientific and research skills, awareness of their role in the process of professional activity; ensuring a high degree of student independence; productive interaction between students and teachers and a high level of scientific research competence of teachers who participate in the process of scientific research training of students.
Abstract No. 329 Remote telerobotic endovascular simulated procedures with electromagnetically tracked catheters co-registered with vascular anatomy: comparison of virtual reality or computer control/guidance versus usual angiography

Study feasibility of a telerobotic system operated by remote users. Virtual Reality (VR) or computer controls were used to remotely steer an angiographic catheter, with electromagnetic sensors (EM), through a 3D printed model of the arterial vasculature, visualizing a 3D holographic (VR) or 2D flat screen dynamic representation of the catheter and co-registered vascular anatomy. We compared time taken to select vessels.