Reviewerly/exHarmony huggingface dataset:
Features of the Humanities Subjects Teachers' Training for Professional Guidance Work at Institutions of General Secondary Education

The problem of humanities teachers’ adaptation to career guidance work with students in general secondary education institutions is currently one of the most complex interdisciplinary problems, which covers various spheres of human activity: psychological-pedagogical, socio-economic and medical-biological. The purpose of the article is to characterize the peculiarities of the humanities subjects teachers' training for professional guidance work in institutions of general secondary education. During the research, the author used general scientific and pedagogical research methods, namely theoretical ones, which include: analysis (comparative, systemic, inductive, deductive); synthesis (general scientific, interdisciplinary); classification, systematization, generalization. Results. The study analyzed the main provisions of the problem of professional adaptation of young teachers of humanitarian subjects to career guidance work; the periods of formation of readiness for its implementation are determined: pre-career guidance and the period of direct career guidance; three stages (initial-adaptive as "entry" into career guidance work, medium adaptation to conducting career guidance with students and effective career guidance work) of the period of direct career guidance are distinguished. Instructive meetings of a young specialist with the head of the educational institution, deputies and methodologists regarding the main responsibilities, and the style of career guidance work of this educational institution to provide methodical assistance in the process of preparing for classes with a career guidance goal is characterized. The essence of system-organized mentoring is revealed, which ensures the close cooperation of an experienced teacher with a novice teacher for the transfer of pedagogical and career guidance experience aimed at the successful self-improvement of a young teacher, his self-realization, self-education, self-organization and self-correction. The main functions of a mentor are described (professional and educational, educational, the influence of the authority of the teacher, and self-education), which contribute to the proper conduct of career guidance work by a novice teacher in an educational institution. Conclusions. In the study, the main pedagogical approaches to the consolidation of teacher-mentors were determined. It was concluded that the training teachers of humanitarian subjects for vocational guidance work at general secondary education institutions has certain features that affect the quality of its implementation.
Completeness and Doxastic Plurality for Topological Operators of Knowledge and Belief

The first aim of this paper is to prove a topological completeness theorem for a weak version of Stalnaker’s logic KB of knowledge and belief. The weak version of KB is characterized by the assumption that the axioms and rules of KB have to be satisfied with the exception of the axiom (NI) of negative introspection. The proof of a topological completeness theorem for weak KB is based on the fact that nuclei (as defined in the framework of point-free topology) give rise to a profusion of topological belief operators that are compatible with the familiar topological knowledge operator Int. Thereby a canonical topological model for weak KB can be constructed. For this canonical model a truth lemma for the modal operators K and B holds such that a completeness theorem for weak KB can be proved in the familiar way. The second aim of this paper is to show that the topological interpretation of knowledge Int comes along with a complete Heyting algebra of belief operators N° that all fit the knowledge operator Int in the sense that the pairs (Int, N°) satisfy all axioms of weak KB. This amounts to a pluralistic relation between knowledge and belief: Knowledge does not fully determine belief, rather it designs a conceptual space for belief operators where different (competing) belief operators coexist that can be compared with each other.
The design of Bayesian diagnostic expert system Querix and it’s engineering application

Advanced diagnostics of various industrial machines have garnered attention from researchers in recent years as the popularity of smart factories of Industry 4.0 grows.Alongside modern RPA (Robotic Process Automation) systems, which bring various AI methods into the administration of industrial processes, advanced diagnostic and maintenance systems are a logical complement for the digital era of smart factories.This paper focuses on the introduction of a developed expert system used to help diagnose mobile robotic platforms during daily use.
Discrete Hyperchaotic S-Box Generation for Selective Video Frames Encryption

Cloud computing has become a significant technology with rapid popularization offering many services with highly effective computation and large-scale storage solutions. As multimedia files are growing explosively, securely storing them for authorized access is a major task. Concentrating on video file storage in a public cloud environment, the security and privacy of those outsourced videos are the major concerns. A selective frame encryption approach is proposed to encrypt the semantic elements of the selected frames of High Efficiency Video Coding (HEVC) compressed videos by storing them in the cloud. The semantic elements of HEVC videos are extracted and encrypted by a modified Advanced Encryption Standard (AES) operation in CFB mode with a Substitution-Box (S-Box). A dynamic, nonlinear 2D discrete hyperchaotic mapping-based S-box generation method is proposed to enhance security by providing good confusion, diffusion, and scrambling. The performance analysis of generated S-box and experimental results show that the proposed selective encryption highly resists attacks and encrypts with reduced time complexity.
Tree-Based Convolutional Neural Networks for Image Classification

In this paper, we explore the use of tree-based Convolutional Neural Networks for image classification problems.The main goal of this image classification technique is to identify the traits, in an image, with precision.In the case of image classification, Convolutional Neural Networks (CNNs) are used because of their high precision.We explore the use of tree data structure to design the architect of our CNN model for image classification.Using n-ary trees we deduce the characteristics and compare them with the state-of-the-art Models.We employ the tiny ImageNet data set prepared by Stanford and the CIFAR-10 dataset [1].This work shows how increasing the depth and width of a tree-structured CNN compares to the state-of-the-art models in terms of computational benefits, efficiency scores, and resource management.
Analysis of Various Chaos Based Image Encryption Methods

In today's data transfer environment images are one of the major parts of Internet and online interaction.As a result, there is intrusive.Different type of chaotic maps which are utilized for image encryption are analyzed in the paper, along with their advantages and disadvantages.Chaotic maps are advantageous for image encryption because of their unexpected, exponential, and very sensitive initial circumstances, which results in more trustworthy image encryption.Numerous previous suggested image encryption systems rely on low dimensional chaotic maps, which provides a poor amount of security and are especially susceptible to most common cyber attacks.To tackle this issue, various chaotic maps were designed.The objective of this review article is to discuss the properties and methodology of numerous chaotic maps that have been utilized for image encryption.
The readiness of future physics teachers for STEM education

The article is devoted to the study of awareness of students of higher educational institutions about STEM approach and what work related to this approach is carried out at the universities. Based on world experience, we know that this method provides an interdisciplinary approach to teaching learners of natural sciences in order to provide them with comprehensive and deep knowledge. One of the areas of STEM is robotics, which is already being implemented in schools, but has not yet received wide implementation in universities. The Ministry of Education of Kazakhstan promotes the acquisition of STEM classrooms and laboratories by schools and universities, and the Y. Altynsarin National Academy of Education has developed methodological recommendations for the implementation of the STEM method. Currently, classrooms, centers and laboratories of 3D modeling and robotics are being opened and introduced into the educational process in schools and higher educational institutions. Currently, with the support of the Chevron company, the educational organization "Caravan Knowledge" is engaged in the preparation of methodological instructions, the organization of STEAM video lessons, STEAM decade and conferences within the framework of the roadmap for the development of STEAM education for 2021-2025. This indicates that the STEM education is under development. In this regard, the article examines how much future teachers are ready to apply the STEM method in school.
A Study on Green Cloud Computing

Abstract: Cloud computing provides computing power and resources as a service to users across the globe. This scheme was introduced as a means to an end for customer’s worldwide, providing high performance at a cheaper cost when compared to dedicated high-performance computing machines. This provision requires huge data-centers to be tightly-coupled with the system, the increasing use of which yields heavy consumption of energy and huge emission of CO2. Since energy has been a prime concern of late, this issue generated the importance of green cloud computing that provides techniques and algorithms to reduce energy wastage by incorporating its reuse. In this survey we discuss key techniques to reduce the energy consumption and CO2 emission that can cause severe health issues. We begin with a discussion on green matrices appropriate for data-centers and then throw light on green scheduling algorithms that facilitate reduction in energy consumption and CO2 emission levels in the existing systems. At the same time the various existing architectures related to green cloud also discussed in this paper with their pros and cons.
Report on Current Trends and Future Research Challenges in Green Cloud Computing

Abstract: Cloud computing provides computing power and resources as a service to users across the globe. This scheme was introduced as a means to an end for customer’s worldwide, providing high performance at a cheaper cost when compared to dedicated high-performance computing machines. This provision requires huge data-centers to be tightly-coupled with the system, the increasing use of which yields heavy consumption of energy and huge emission of CO2. Since energy has been a prime concern of late, this issue generated the importance of green cloud computing that provides techniques and algorithms to reduce energy wastage by incorporating its reuse. In this survey we discuss key techniques to reduce the energy consumption and CO2 emission that can cause severe health issues. We begin with a discussion on green matrices appropriate for data-centers and then throw light on green scheduling algorithms that facilitate reduction in energy consumption and CO2 emission levels in the existing systems. At the same time the various existing architectures related to green cloud also discussed in this paper with their pros and cons.
Mathweb, web platform for the teaching of mathematics in secondary basic. Preliminary results

The students of basic secondary education require a platform that provides them with more interactive learning of mathematics. MathWeb Education arises because of the low performance of mathematics in the country's educational institutions and also because of the low results in the ICFES tests in the area of mathematics. There is a need to move from a traditional model of teaching mathematics to the use of TICS with a different learning methodology. Brunner's learning methodology is incorporated into the platform, student learning is guided, dynamic and tests their knowledge. The objective is to socialize preliminary results based on the market study carried out in the participation of the phase discovery of digital business in person of apps.co at the end of 2019, the approach of the students' problem in learning mathematics was validated, thus obtaining a value proposition for our project and development of a small prototype as a platform.
Traffic Density Prediction using IoT-based Double Exponential Smoothing

The number of vehicles and currents that tend to increase causes traffic density. A system is proposed to calculate the number of vehicles and predict real-time traffic density. This research uses Haar Cascade to detect the number of cars and motorcycles and the Double Exponential Smoothing (DES) for forecasting the number of vehicles on the road. MAPE describes forecasting accuracy as a base for selecting the best smoothing constant (Alpha). The best test results from June 13 to 20, 2020, are cars on June 14, 2020 (alpha 0.5, MAPE 0%) and Motorcylecycles on June 18, 2020 (alpha 0.5, MAPE 0.1134% ). The most significant MAPE results of the car were on June 15, 2020, with alpha 0.5 and MAPE 2.1073%. The 3 minutes haar cascade detects 72.58% of cars and 81.90% of motorcycles.
MODELING METHOD AS A way OF INFORMATION-ANALYTICAL COMPETENCE FORMATION IN THE STUDY OF PHYSICS

The article considers the necessity of forming information-analytical competence of the future specialist as a component of professional competence, which reflects the readiness and ability of higher education students to apply information-analytical knowledge, skills, abilities in combination with their personal qualities during working with information of different types and forms, and the ability to search, evaluate, preserve, analyze, design and transmit important information in order to obtain qualitatively new knowledge for responsible decision-making in professional activities, preserving and multiplying the most important achievements. Components of information-analytical competence are considered: cognitive component (information-analytical theoretical knowledge; information-analytical technological knowledge); functional component (instrumental and communicative skills; analytical skills; ability to analyze information and formalize it, to compare, summarize, synthesize with available data, develop options for using information; to predict the results of the problem situation, appropriate registration of analysis results and their transfer); personality-evaluating component (orientation and motivation of the individual to perform information and analytical activities). The using of the modeling method is analyzed, which requires the use of theoretical level concepts that do not have direct models in real subjects of study and are formed due to the introduction of idealization and modeling methods in the learning process. The method of modeling is used in all branches of physical knowledge and at all stages of the development of physical theory. Scientific modeling is understood as a way of cognition in which another, more complex system, which is the object of research, is reproduced with the help of the created system. Closely related to the method of modeling are methods of scientific knowledge as an analogy, idealization, and imaginary experiments. In the course of modeling on the basis of establishing the similarity of some already studied essential features of two or more objects, phenomena. The use of modeling method and structural-logical scheme of formation of scientific knowledge and processes and formation of information-analytical competence are compared.
Exploring the Evolution of Sentiment in Spanish Pandemic Tweets: A Data Analysis Based on a Fine-Tuned BERT Architecture

The COVID-19 pandemic has had a significant impact on various aspects of society, including economic, health, political, and work-related domains. The pandemic has also caused an emotional effect on individuals, reflected in their opinions and comments on social media platforms, such as Twitter. This study explores the evolution of sentiment in Spanish pandemic tweets through a data analysis based on a fine-tuned BERT architecture. A total of six million tweets were collected using web scraping techniques, and pre-processing was applied to filter and clean the data. The fine-tuned BERT architecture was utilized to perform sentiment analysis, which allowed for a deep-learning approach to sentiment classification. The analysis results were graphically represented based on search criteria, such as “COVID-19” and “coronavirus”. This study reveals sentiment trends, significant concerns, relationship with announced news, public reactions, and information dissemination, among other aspects. These findings provide insight into the emotional impact of the COVID-19 pandemic on individuals and the corresponding impact on social media platforms.
SCIENTIFIC WORLDVIEW OF STUDENTS: PEDAGOGICAL AND HISTORIOSOPHICAL REPRODUCTION

The topic of the article touches upon the disclosure of the problem of scientific worldview through the prism of pedagogical and historiosophical determinants. The depth of the influence of the socio-political vector on the reorientation of the content of the scientific worldview in the direction of socio-cultural inquiries of different historical epochs is emphasized. The significance of the influence of the existing historical, pedagogical and historiosophical realities on the studied phenomenon is highlighted, which produced the need to reform the current system in the direction of achieving the corresponding level of socio-cultural optimum. It is summed up how the increase in the level of interest of public circles in deepening the development of the scientific worldview produced the improvement of educational work with students. During the research, the significant role of the foreign professors’ influence on the scientific knowledge of students has been outlined; it oriented students in the direction of involvement in the subject reflections and development of flexible thinking, which allows the depth of grasping the truth. One of the most thorough processes, which we perceive in the form of reference point, is the cognition of the process of a scientific worldview forming in order to comprehensively solve the key problem of the research. Under such conditions, cognition is already considered by us in terms of a holistic problem that still needs to be solved in the right way. To select the "right way", it is necessary to consider all the nuances of the subject, to distinguish the level of influence of both internal and external determinants. Due to the "embedding" in the process of substantive study of a kind of epistemological concentrate, the idea of the integrity of the subject is crystallized, which produces the correct formulation of the problem and actualizes the optimal development of the research strategy no longer for a simple object, but for the so-called "system object". The set of declared problems of study correlates with the cognition of the corresponding object – a system that is transformed into the epicenter of the point of reference of the research problem that still needs to be solved. Adherence to the fundamental vectors of the culture of methodological thinking produced the meaningful design of conceptual systems involving the scientific interpretation of phenomenological features not in the system of mutual objections, but, above all, complementarities. This nature of the subject reflection actualized the projection of the studied in the light of the available theoretical and methodological "constructions".
PENINGKATAN HASIL BELAJAR MATEMATIKA MATERI PENYAJIAN DATA MENGGUNAKAN MODEL PROBLEM BASED LEARNING BERBANTUAN MEDIA PAPAN DIAGRAM (PADI) PADA SISWA KELAS V SDN 03 MADIUN LOR KOTA MADIUN

This study aims to determine the increase in activity and mathematics learning outcomes in data presentation material through the application of the learning model Problem Based Learning assisted media Diagram Board (PADI) for fifth grade students at SDN 03 Madiun Lor, Madiun City. This type of research is Classroom Action Research (CAR), which consists of two cycles. The subjects in this study were class V of SDN 03 Madiun Lor for the 2022/2023 academic year with a total of 30 students. Data collection techniques in this study used observation and tests which were analyzed with descriptive statistics. The results showed that the initial conditions / pretest with mastery of classical learning was 56.66%, then after the action was carried out in cycle I there was an increase of 74.53% and an increase to cycle II of 83.23%. Thus, it can be concluded that by applying the Diagram Board-assisted Problem Based Learning (PADI) learning model, it can improve mathematics learning outcomes in data presentation material for fifth grade students at SDN Madiun Lor, Madiun City.
THE EFFECT OF COOPERATIVE LEARNING MODEL TYPE OF GROUP INVESTIGATION ASSISTED BY PHET SIMULATION ON STUDENT LEARNING OUTCOMES AT SMA NEGERI 1 BAHOROK

The purpose of this study was to find out whether the investigative group-type cooperative learning model assisted by PhET simulations can improve student learning outcomes at SMA Negeri 1 Bahorok. The research method used is quantitative research designquasi experiment two group pretest-posttest. The population in this study was class XI IPA at SMA Negeri 1 Bahorok and the sample used was class XI IPA 1 with a total of 36 students as the experimental class and XI IPA 2 with a total of 34 students as the control class. Data collection was carried out by using questions onpretest andposttest. The results showed that the average valuepretest in the experimental and control classes of 50.0 respectively9 and 43.06 while the average valueposttest obtained in the experimental and control classes of 73.5 and 59,24. Based on one-party hypothesis testing to find out differences in student learning outcomes that have been carried out, it is found that the value of ttable = 1.9954. Furthermore, by comparing the value of ttable with tcount obtained that tcount &gt; ttable namely 5.4265 &gt; 1.9954. This means H0 rejected and Ha accepted which states that "There is an influence from the cooperative learning model of the Simulation-assisted Investigation Group typePhET on the material Elasticity and Hooke's Law on student learning outcomes.