Reviewerly/exHarmony huggingface dataset:
Prex-Net: Progressive Exploration Network Using Efficient Channel Fusion for Light Field Reconstruction

Light field (LF) reconstruction is a technique for synthesizing views between LF images and various methods have been proposed to obtain high-quality LF reconstructed images. In this paper, we propose a progressive exploration network using efficient channel fusion for light field reconstruction (Prex-Net), which consists of three parts to quickly produce high-quality synthesized LF images. The initial feature extraction module uses 3D convolution to obtain deep correlations between multiple LF input images. In the channel fusion module, the extracted initial feature map passes through successive up- and down-fusion blocks and continuously searches for features required for LF reconstruction. The fusion block collects the pixels of channels by pixel shuffle and applies convolution to the collected pixels to fuse the information existing between channels. Finally, the LF restoration module synthesizes LF images with high angular resolution through simple convolution using the concatenated outputs of down-fusion blocks. The proposed Prex-Net synthesizes views between LF images faster than existing LF restoration methods and shows good results in the PSNR performance of the synthesized image.
Philosophical analysis of technology and philosophy of dialogue

The prospects for the analysis of technology with the help of the philosophy of dialogue are considered. A person’s desire to get rid of external restrictions is realized with the help of material and non-material technology. From the very beginning of the philosophical ana­lysis of technology, there has been a dispute: whether technology increases the freedom and creative potential of a person or reduces it. The philosophy of dialogue explores the opposite of a technical relationship to the world. It is shown that technology is the opposite of dia­logue: a monologue of a person who, according to his own will, transforms nature and other people (who transform him). Technical is the relation of a person to the world, based on the desire to remake it in order to adapt to one’s desires: this attitude is the opposite of the readi­ness to remake oneself to adapt to the world, which is characteristic of traditional societies and biological species in general. Both attitudes to the world – technological and personal, monologue and dialogue – are justified by necessity and must take their place in life, but to­day the technological attitude is replacing the personal one. Technology increases the cre­ative potential of a person as an active agent in a passive environment, so it does not in­crease his freedom: technology is the freedom of a monologue.
Designing the social role of a scientist: from professional competencies to solving global problems

Who is a modern employee in the field of research and development – a representative of one of the many professions or a carrier of a special social role? The authors of the article try to answer this question by analyzing the normative, framework and strategic documenta­tion designed to bring uniformity to the educational practices of future scientists and the sys­tem of professional qualifications. It is shown that starting from the lecture of M.M. Weber, in which he stated that the activity of a scientist is no longer built in accordance with the so­cial model of vocation, but is normalized as a profession among other professions, it is con­sidered that research work requires the formation of special knowledge and skills of a future scientist. The framework documents developed by the efforts of the countries of the Euro­pean Union, representing the system of research competencies and their development, as well as UNESCO documents that set the foundations of the legal and social status of a re­searcher, form a different image of a scientist. It correlates with such trends in the develop­ment of science as the expansion of interdisciplinary research, and such trends in education and staffing in various fields as the strengthening of the importance of not narrow special, but universal skills and competencies. As an important component of universal competencies, the authors emphasize agency – social and socio-political entrepreneurship. The conformity of normative documentation and real practice is critically analyzed, limitations and problems are identified that hinder the realization of the social role of a scientist as responsible not only for individual consequences of scientific discoveries and technical inventions, but for the devel­opment of society as a whole and, therefore, called upon to actively participate in dialogue with various social actors, making various decisions and developing public consensus.
P.P. Gaidenko’s legacy and actual problems of teaching the discipline “History and Philosophy of Science” in the Master’s and Postgraduate courses of the modern University

The work is devoted to the consideration of the scientific heritage of the Russian philoso­pher Piama P. Gaidenko in connection with the problems of teaching the discipline “History and Philosophy of Science” (“History and Methodology of Science”) in the framework of master’s and postgraduate educational programs of modern universities. Based on scien­tific works and textbooks of P.P. Gaidenko the author identifies the following problems that were raised by an authoritative scientist in a timely manner and are still relevant in modern realities: the problem of the status and place of science in the system of culture and society, the cultural origins and philosophical foundations of scientific knowledge, the relationship between science and religion, the transdisciplinarity of modern scientific research. The question of the importance of socio-humanitarian knowledge in the history of science, axiological, ethical and environmental problems of post-non-classical science are of fundamental importance. It is shown that P.P. Gaidenko, having international expe­rience in European universities, followed the best traditions of world classical university education and at the same time supported modern innovations in teaching philosophy. Her methodological principles serve as a support and reference point for the teacher-philoso­pher at the present time.
Review of the book by V.V. Starovoitov “Psychoanalysis in Portraits”

The review highlights two main parts of the book: information about scientists who created psychoanalysis, developed and applied it, and Appendices. The first of them is devoted to classical psychoanalysis, starting with S. Freud. Here the author introduces the reader to British and Hungarian psychoanalysis, including in their modern version. It is noted that the changes that have occurred in the theoretical field of psychoanalysis have led to radical changes in therapeutic practice. The boundaries of psychoanalysis are fluid. They are constantly expanding, and in our time psychoanalysis can be interpreted as a system of theories of human behavior, as a way to treat mental illness, etc. Appendices consisting mainly of scientific articles of philosophers and psychoanalysts translated by V.V. Starovoitov from English. They can be considered an interesting book in their own right. Particularly attractive to the reader are the articles of R. Fairburne and D. Winnicott, as well as an extensive article by Dr. Elizabeth Spillius. Overall, the whole book is informative and useful, it can not only benefit the novice psychoanalyst of a philosophical orientation, but also arouse interest in psychoanalysis in a person who previously considered the theory and practice of psychoanalysis to be theoretical fun.
The Construction of "Experiential Learning Circle" Teaching Mode in Innovative Practice Courses: Cultivation of Core Competencies for Psychology Teacher Trainees

With the rapid development of society, mental health is a common concern, and the cultivation of innovative practice ability of psychological teacher trainees becomes particularly important. However, according to the preliminary return visit, the graduates cultivated by the traditional teaching mode need help in two-way interaction with the employment organizations. In this paper, we analyze the teaching quality of the innovative practice classroom through the Questionnaire of Applied Course Experience to further clarify the specific problems of the creative practice course for psychology teacher trainees based on exploring the teaching practice of the mental health education course. Through exploring mental health education courses, we've created an "experiential learning circle" teaching model. Under the guidance of "student-centered, output-oriented, and continuous improvement" principles, this model stimulates students' innovation and practice. By revamping our teaching concept, method, and evaluation, we've fostered teaching reform and talent cultivation for teacher education. Moreover, we've provided technical paths and case studies to promote innovative practice classrooms.
Practical Exploration of the Construction of University Mathematics Curriculum Based on Project-Based Learning

Project based teaching method is a teaching mode that aims to enable students to understand or apply the central concepts, methods, and principles of a certain discipline, organize teaching activities through the joint implementation of a complete "project", integrate students into the process of completing meaningful tasks, and enable them to actively learn and independently construct knowledge. It aims to cultivate practical knowledge and abilities. The theoretical basis of project-based teaching method comes from modern cognitive theory. Modern cognitive psychology divides knowledge into two categories: declarative and procedural. Divide the process of knowledge learning into three stages: acquisition, consolidation and transformation, and transfer and application. For different types of knowledge, different methods should be adopted in different learning processes.
Difficulty of test by Fuzzy logic

- In this paper we present an idea how we can measure the difficulty of a test by Fuzzy Logic. Designing an achievement test requires recognition not only of the program but also of the latest technology. Learning and teaching are complex processes. Fuzzy Logic has the advantage of modeling the qualitative aspects of human knowledge, and decision making as done by human beings by applying the rule base. Modern information management systems enable the recording and the management of data using sophisticated data models and a rich set of management tools. This model consists of four components fuzzy inference engine, fuzzy rules, fuzzier, and a defuzzifier. Application of fuzzy logic in processing student evaluation, are expected to represent the mechanisms of human thought processes capable of resolving the problem of evaluation of students. Fuzzy mathematical modeling technique provides a solution in area of performance measurement techniques and its evaluation. Evaluated student test make it easier for teachers to assess students according to the level of difficulty of the test. With a system of evaluation of student test results by using fuzzy logic will be able to support the needs of teachers as well as those related to monitor student progress so that it can support the success of students.
Anomaly detection for maritime navigation based on probability density function of error of reconstruction

Abstract Anomaly detection is a fundamental problem in data science and is one of the highly studied topics in machine learning. This problem has been addressed in different contexts and domains. This article investigates anomalous data within time series data in the maritime sector. Since there is no annotated dataset for this purpose, in this study, we apply an unsupervised approach. Our method benefits from the unsupervised learning feature of autoencoders. We utilize the reconstruction error as a signal for anomaly detection. For this purpose, we estimate the probability density function of the reconstruction error and find different levels of abnormality based on statistical attributes of the density of error. Our results demonstrate the effectiveness of this approach for localizing irregular patterns in the trajectory of vessel movements.
Digitization And Higher Education In Algeria

This research deals with the topic of digitization in higher education especially in Algeria due to the importance of this sector and its vitality in graduating academic competencies, and the importance of digitization in keeping pace with rapid and continuous development and considered one of the aspects of applying communication technology. The research aims to define digitization, its effects, limits, and its current levels and challenges in the higher education sector in general, especially in Algeria. To highlight these concerns, we relied on statement of factual data from official sources, from previous studies and from participatory observation data due to the author’s contact with the university and knowledge of some aspects of interaction therein. The research concluded that higher education in Algeria was strengthened by the digital system gradually and slowly, and the movement accelerated after the pandemic Covid-19, specifically since 2021, with intensive efforts and budgets recorded to absorb the shortage. However, there are gaps: in terms of network and technical coverage, in terms of the characteristics of digital itself, which always remains in challenges and risks, as well as on the other hand, the convictions of its users in the effectiveness of this method compared to the traditional dealing without technology.
The Effect of Ethical Leadership on Organizational Citizenship Behavior and Turnover Intention with Intrinsic Motivation as a Mediating Variable A Study of Companies in the Trade and Services Sector

This research aimed to investigate the influence of Ethical Leadership on Intrinsic Motivation, the influence of Ethical Leadership on Turnover Intention, the influence of Ethical Leadership on Organizational Citizenship Behavior, the impact of Intrinsic Motivation as a mediating variable on Turnover Intention, and the effect of Intrinsic Motivation as a mediating variable on Organizational Citizenship Behavior. Primary data for this study were collected directly through the completion of questionnaires from 243 employees. The data analysis method employed in this research was Partial Least Squares (PLS). The results indicate a strong connection between ethical leadership and both intrinsic motivation and organizational citizenship behavior, emphasizing the importance of ethical leadership practices within organizations. These practices, including ethical leadership training, fostering an organizational culture that encourages ethics, and applying ethical principles in decision-making, can significantly enhance intrinsic motivation and workplace behavior. Conversely, the study reveals that ethical leadership does not significantly influence turnover intention, suggesting that organizations should consider other factors affecting employees' intentions to leave their jobs, such as the work environment, career development, and work-life balance. While intrinsic motivation, when examined independently, may not directly impact organizational citizenship behavior, it plays a pivotal moderating role in influencing workplace behavior. Organizations are encouraged to explore additional factors that more directly shape organizational citizenship behavior, acknowledging the crucial role of intrinsic motivation in moderating these relationships
Gamification On E-Commerce In The Machinery Manufacturing Industry

People have seen the concept of gamification, which has been used for more than 10 years, in every field, from education to health, from marketing to sports. For this reason, gamification is a popular application. This article shows that gamification applications can also be applied in the machinery manufacturing industry. For this purpose, a new website has been created in a company that manufactures machinery.The wheel, which is a gamification element, has been integrated according to the demands of customers and suppliers.Action research was conducted during the process. The results showed that, thanks to this wheel, the company's domestic and international sales increased and it became more accessible at home and abroad. In addition, this study is a first in the machinery manufacturing industry with its gamification application.
Analysis Of River Cleaning Ship Design With The Trasher Boat Concept By Using MAXSURF

Ships are a means of transportation for moving materials and goods from one place to another. Along with this increase, it was also followed by the development of other industries so that it had an impact. However, in increasing these activities, in addition to generating benefits, it also creates new impacts through the waste produced. Several work boats are made to solve problems related to the type of work according to needs. The solution that can be used to overcome the accumulation of garbage in the river is to use the help of a Trash Skimmer Boat. This work boat is a type of special ship that is used to carry out waste collection in rivers, lakes, seas and canals. By using the help of Maxsurf Software, the main size is L = 100 cm, B = 30 cm H = 15 cm, T = 3.54 cm with a payload capacity of 3 kg. It has the following data: Displacement = 6,968 kg ; block coefficient (Cb) = 0.387; Prismatic Coef (Cp) = 0.832.&#x0D; Keyword : Ship, Workboat, Trasher boat, Trash Skimmer Boat
State-of-the-art analysis of deep learning techniques for image segmentation

Image segmentation is an important computer vision problem that captures a particular region of interest by leveraging per-pixel image classification. It has significant applications in various fields, such as biomedical engineering, remote sensing, autonomous driving, etc. There has been a gradual evolution towards deep learning image segmentation methods, including convolutional neural networks, recurrent neural networks, encoder-decoder architectures, and generative adversarial networks. This chapter provides a description of deep learning image segmentation networks, offering insights into their architectural details, performance assessment metrics, advantages, and disadvantages.
A Study on Natural Language-Query Dataset Classificationfor for GeoQA

최근 자연어 처리 기술(NLP: Natural Language Processing) 분야의 빠른 발전으로 인해 질의응답시스템(QA system: Questions Answering system)에 대한 연구가 활발히 이루어지고 있다. 공간정보 분야에서도 지식베이스(KB: knowledge base)를 통해 사용자의 공간 관련 질의에 답할 수 있는 공간관련 지식베이스 질의응답시스템(GeoKBQA : Geographic Knowledge Base Question Answering system)에 대한 연구가 진행 중이다. 본 연구에서는 GeoKBQA를 위한 중요 기술 중 하나인 semantic parsing에 필요한 자연어-쿼리 데이터셋을 구축하기 위해 공간 관련 질의가 라벨링 되어 있는 Mintaka, NLMAPS 데이터셋을 사용해 BERT 모델이 공간 관련 질의를 분류할 수 있도록 학습시켰다. 모델을 통해 자연어-쿼리로 이루어진 WebQuestionsSP, ComplexWebQuestions 데이터셋에서 공간 관련 데이터를 수집하였고, 다양한 평가 기법을 사용해 데이터셋의 품질을 평가하였다.
Innovative Approach to Training Sustainable Engineers

Oguz han Engineering and Technology University of Turkmenistan is a higher education institution, which specializes in training engineers with innovative views. Training of future professionals that “Engineer a Sustainable World” requires not only new competencies, including creative learning and thinking, complex problem-solving interdisciplinary and international cooperation, and a code of ethics, but also challenges a change in engineering education itself. In our approach, we suggest innovative ways to develop a deeper working knowledge of technical fundamentals while simultaneously learning personal and interpersonal skills, and product, process, and system building skills. For analysis of interrelated arrangement of modules for effective acquisition of knowledge, a supportive alignment of disciplinary courses was studied and a wide range of skills required in professional areas were mapped throughout the curriculum. Moreover, we created a new learning context that provides an opportunity to implement both theoretical and practical knowledge to conceive, design, implement and operate real-world systems and products. In this approach, we developed integrated methods of gaining active learning experience that forms a basis for carrying out challenging capstone projects. As a result, our innovative approach that focuses on modification of education and research improves all aspects of comprehensive training of sustainable engineers.
Use of the Semantic Wiki Resources for Open Science Support

One of the main functions of Open Science is open access to scientific publications and other research results. Information resources used by Open Science have to comply with the FAIR principles and be findable. We propose to use semantic Wiki technology to develop scalable resources with complex structure that support information retrieval and navigation on knowledge level. In this work we analyze expressiveness and scalability of the Wiki technology, integration of the Wiki markup with ontological analysis and explore its practical use on example of the portal version of the Great Ukrainian Encyclopedia. We consider specifics of Open Science resources and their typical information objects and propose some solutions for their Wiki-based support.
Governance Model for Cloud Computing Service

Cloud computing services are one of the IT solutions whose popularity has grown across various industries. Big challenges face cloud computing services, like how to secure them and raise awareness of their usage. Furthermore, these concerns and obstacles are linked to cloud computing services, which may result in several critical risk areas. The adoption process of moving to cloud computing services is slowed by a lack of governance, as the role of governance is to assess the performance and analyze the adherence to agreed-upon goals and objectives and it is hard to apply in the cloud computing environment. This work aims to present a governance model which ensures that the required controls are implemented in Amazon Web Services (AWS) cloud services and analyzes the risk if the controls are not applied. In addition, the model will provide the user with various client-side controls as well as certain service level agreement (SLA) guiding parameters.
Pattern Recognition in Embedded Systems for Event Occurrences

PR (pattern recognition) typically includes interaction with humans and other complicated processes in the real world, embedded systems are ideal candidates. A typical PR application often considered the more perceptual branch of AI, responds to external events that the system detects through physical sensors or input devices by activating actuators or displaying relevant information. To explore the embedded recognition system and apply the deep learning algorithm to face detection, the deep learning-based Convolutional Neural Network (CNN) suggests two deep face detection methods. These are presented to use the deep learning algorithm. This was done to make it possible for us to use the deep learning algorithm for face detection. Because of this, to analyze the built-in face recognition system and applied the deep learning algorithm to the process of identifying faces. In addition, to do both things simultaneously. OMTCNN's training accuracy is 85.14%, higher than the unimproved algorithm. Accuracy of the recognition and calculation acceleration modules boosts embedded system face detection and identification performance. Embedded deep learning recognition is helpful.