Reviewerly/exHarmony huggingface dataset:
THE USE OF PROBLEM BASED LEARNING TECHNOLOGY IN PHYSICS LESSONS

Abstract. The current state of pedagogical science is characterized by an active search for new approaches to the organization of the content of education, methods and means of teaching, forms of organization of the educational process. Another group of problems is rellated to the introduction of inovations into mas practice aimed at activating the educational process and arming its graduates with the skills to independently replenish knowledge, develop their cognitive abilities. Today, problem-based learning is understood as the organization of training sessions, which include the creation of problematic situations under the guidance of a teacher and the active independent activity of students in solving them, resulting in the acquisition of professional knowledge, skills, abilities and skills for the development of creative abilities. The article analyzes the structure of problem-based learning, methods of constructing problem situations in physics lessons, the possibility of using problem-based learning. The content of all the basic concepts of the theory of problem-based learning, didactic and psychological foundations of the organization of problem-based learning are proposed and the methodology and technology of problem-based physics teaching are described. The possibilities of problem-based learning in teaching physical phenomena and laws are demonstrated. The approaches to the formation of students' physical thinking based on the laws of logic formation in the process of problem-based physics teaching are revealed. The analysis of the possibilities of using problem-based learning at various stages of the physics lesson is carried out. The place of application of problem-based learning methods in the educational process on various topics, methods of creating problem situations in physics lessons in educational settings are determined. Specific developments of problematic physics lessons from different sections of the physics course are given. The method of conducting classes using the technology of problem-based learning is described. Keywords: problem learning, problem situation, physics, structure of a problem lesson, problem learning in physics lessons, problem situations in physics lessons, methods of problem learning, results of problem learning.
FACTORS OF UNIVERSITY BRAND FORMATION (BASED ON THE RESULTS OF A FOCUS GROUP STUDY CONDUCTED AT YESSENOV UNIVERSITY, AKTAU)

Abstract. The process of globalization is an important and at the same time very difficult process. Depending on one's own needs, opportunities and goals of obtaining higher education, many factors have to be taken into account when making a decision in the conditions of the present time. Today, there are many universities and educational programs on the educational services market, which often only complicates the selection process, since a large amount of information (sometimes contradictory) creates a number of additional questions. In this regard, the brand of the university is becoming more important and relevant, so understanding its role and place in the process of choosing a university is an important task for sociology. Educational brands have their own specifics, different from the brands of the traditional commercial sector. Despite the obvious commercialization of education in general and the fact that recently higher education institutions are most often considered in the context of the educational services market, universities are still non–profit organizations, and higher education is a social institution. The process of globalization in the modern world has transformed the perception of higher education: higher education has turned from an intangible limited resource into a product, has become part of the international market of educational services. In order to be economically profitable in the current conditions of a market economy, universities are forced to fight for a place in the market, resorting to such methods as increasing student enrollment, absorbing weaker educational institutions, opening branches, increasing tuition fees, as well as improving branding strategies. Since November 1, 2021, a CSR sociological center has been established on the basis of Yesenov University at the Department of the Assembly of the People of Kazakhstan. The main goal of CSR YU is to carry out fundamental and applied research works that are relevant and of practical importance in the context of the implementation of innovative educational strategies of Yessenov University. This article is based on the results of a sociological study conducted to determine the state of such key indicators of the university's image as the «brand index» and the «happiness index» of Yessenov University and to identify the optimal set of tools for the effective development of the YU brand. The article analyzes the main approaches to brand research, describes the main stages of conducting and the results of a comprehensive study. Keywords: globalization, education, sociology of education, Kazakhstan, Yesenov University, university, image, educational brand, university brand, social image of the university.
Model of Improved Floating Point 32-bits Quantizer

This paper gives a proposal of an Improved Floating Point 32-bits (IFP 32) representation format as an upgrade of the Floating Point 32-bits (FP 32) format defined by IEEE Standard for Floating-Point Arithmetic (IEEE 754). Both standardized and proposed models are regarded as quantization schemes. They correspond to the piecewise uniform quantizer, so important quantizer's parameters are given. This article considers the quantization of data statistically modeled by the Laplacian distribution. Signal-to-Quantization Noise Ratio (SQNR) for both solutions is given in a wide range of variance and compared. These models can be used in signal processing and neural networks. Since the proposed model provides better performances with the same total number of bits, it can be used in situations when higher SQNR is needed.
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This research was aimed to know : “There was significant correlation between students’ frequency of watching English movie and students’ vocabulary knowledge at SMAN 15 Bandar Lampung in 2020/2021 academic year. The researcher methodology of this research was a quantitative. The population of the research was the twelve grade students of SMAN 15 Bandar Lampung in 2020/2021 academic year, the number of students was 35 students. The researcher gave a questionnaire to know students’ frequency of watching English movie, and test to know the students’ vocabulary knowledeg. The data that has been gathered was analysed by Pearson Product Moment Correlation. Data Analysis shows that there is significant correlation between two variable since p&lt;0.05 (p=0.345). It can be happened because most of students use their time to watching English movie and it can enrich their vocabulary. Keywords: Frequency of Watching English Movie, Vocabulary Mastery
Web-Based Three-Dimensional Augmented Reality of Digital Heritage for Nighttime Experience

Digital heritage is a sustainable medium that allows people to understand the historical shape and context of cities and architecture, leading to visions for the future.Opportunities for the public to experience life-size representations of digital heritage in threedimensional augmented reality (3D-AR) at outdoor sites are still limited, especially at night.Therefore, the objective of this study is to develop a web-based 3D-AR method to digitally reconstruct a heritage site.A prototype system was developed using the five-storey pagoda of Tango Kokubunji Temple, which was built around 1330 AD and later destroyed, as a digital heritage reconstruction.An interactive initial positioning method was developed to display the five-storey pagoda on real historical foundation stones by tapping a crosshair button, under the condition that the artificial lighting is insufficient at night and the distance between the viewpoint and the 3D model of the pagoda is large.Combining the lighting effects of the real and virtual worlds at night was also demonstrated.We held an event where the general public could experience 3D-AR on their own mobile devices, and conducted a usability evaluation to verify the system.
Robust Attributed Adjacency Graph Extraction Using Floor Plan Images

Architectural design solutions are intrinsically structured information with a broad range of interdependent scopes.Compared to conventional 2D Euclidean data such as orthographic drawings and perspectives, non-Euclidean data (e.g., attributed adjacency graphs) can be more effective and accurate for representing 3D architectural design information, which can be useful for numerous design tasks such as spatial analysis and reasoning, and practical applications such as floor plan parsing and generation.Thus, getting access to a matching attributed adjacency graph dataset of architectural design becomes a necessity.However, the task of conveniently acquiring attributed adjacency graphs from existing architectural design solutions still remains an open challenge.To this end, this project leverages state-ofthe-art image segmentation techniques using an ensemble learning scheme and proposes an end-to-end framework to efficiently extract attributed adjacency graphs from floor plan images with diverse styles and varied levels of complexity, aiming at addressing generalization issues of existing approaches.The proposed graph extraction framework can be used as an innovative tool for advancing design research infrastructure, with which we construct a large-scale attributed adjacency graph dataset of architectural design using floor plan images retrieved in bulk.We have open sourced our code and dataset.
Locally Linear Embedding Discriminant Feature Learning Model

Feature learning is one of the important research trends among researchers in machine learning and other fields, which can select compact representations as feature information from high-dimensional data as well as multi-label data. Discriminative feature learning strengthens discrimination between sample features. Therefore, the feature information of samples can be better discriminated against in algorithms. In this paper, we propose a new unsupervised discriminative feature learning model called UD-LLE (Unsupervised Discriminative Locally Linear Embedding) by the improvement on standard Locally Linear Embedding, which not only maintains the manifold structure of mapping from high-dimensional space to low-dimensional space but also increases the discriminative of features. Specifically, we propose the restructure cost function as an objective function by adding constraint conditions about discrimination to standard function, which is solved by using stochastic gradient descent and momentum gradient descent algorithms combined with standard LLE.
Pengaruh E-Learning Terhadap Hasil Belajar Jawa Siswa Kelas IV SD Negeri 1 Sugihan Jatirogo Tuban

This study aimed to analyze the effect of e-learning on the learning outcomes of fourth grade Javanese script students at SD Negeri Sugihan Jatirogo Tuban. This study used an experimental method with the research design was the control group pretest-posttest design, namely experimental research conducted on two groups of classes. In implementing this study, students were given a pretest. Then, after being given a different treatment between the controller class and the experimental class, a posttest was carried out. The test given was in the form of multiple choice test. In addition to the test, there were also supporting data in the form of interview questionnaires for the parents of fourth grade students. The results obtained that the posttest average score of the experimental class students was (80,96), that showed it was increased significantly compared to before receiving treatment (51,68). This study concluded the effect of learning on the learning outcomes of fourth grade Javanese script students at SD Negeri 1 Sugihan Jatirogo Tuban. The learning obstacle of e-learning based at SD N 1 Sugihan, Jatirogo, Tuban was inadequate internet network facilities.&#x0D;
Pengembangan Multimedia Interaktif Powtoon Pada Materi Dialog Berbahasa Jawa

This study aims to develop a powtoon-based Javanese language learning media and to find out the result of the validation of the powtoon-based javanese language learning media products. This type of research is research (R&amp;D) which adapts from Sugiyono’s theory. Product validation was carried out by the media expert, material expert, Javanese language teachers, and the students. The data collection technique used a questionnaire and the analyzed descriptively qualitatively. The result showed that the interactive multimedia product powtoon was included in the very appropriate category. Likewise, media expert, material expert as well as Javanese language teachers assessed that the quality of interactive multimedia learning powtoon was very appropriate. The students strongly agree with the development of interactive multimedia powtoon. The results after a limited trial on students showed that interactive multimedia powtoon was very effective. Based on these results, the interactive multimedia product powtoon is effective very suitable and used in learning Javanese dialogue.
Efektifitas Penggunaan Modul Berbasis Problem Base Learning Pada Mata Kuliah Telaah Naskah

This study aims to determine the effectiveness of using Problem Based Learning-based modules in the text review course. This study took a sample of 4th semester students of class A class A, Regional Language and Literature Department, State University of Surabaya. The research method used is descriptive quantitative method. Data collection techniques were carried out by distributing questionnaires, observations, and giving test questions for cognitive learning outcomes. The data analysis technique was carried out with One Group Pretest-Posttest Design, then the data was tested using the normality test and T-Test (Paired Samples T-Test). The results showed that the Problem Based Learning-based module was effectively used in the manuscript review course. This is evidenced by the progress of the average score from pretest to posttest, namely from 64.1034 to 73.5517. The minimum score in the pretest is 50.00, with the maximum score being 78.00. It is different with the posttest, the minimum score achieved by students is 60.00 and the maximum score is 85.00. On the basis of these advances, the Problem Based Learning-based module is effective for improving students' understanding and skills in the text review course.
Manajemen Pembelajaran Bahasa Jawa Menggunakan Moda Besmart UNY

Besmart is an online learning model developed and used by Universitas Negeri Yogyakarta (UNY). This study aims to describe the management of Javanese language learning using the Besmart UNY mode. Learning management that is carried out is starting from the process of preparation, implementation, to learning assessment, as well as measuring the level of student satisfaction with learning management using the Besmart mode. The method used is descriptive-analytical. The instrument used to measure the level of student satisfaction is a questionnaire. Based on the results of research, learning management using the Besmart mode facilitates the implementation of learning management in Javanese language courses. Learning the Javanese language that has been considered very boring can be made more interesting by utilizing the features available at Besmart. The management of Javanese learning by maximizing the support of the information and communication technology in the Besmart mode helps achieve the Javanese language's objectives more optimally. The use of Besmart in learning management is proven to be very helpful for students (58,5%) and students are very satisfied (50,9%) with learning management with the Besmart mode.
Pengembangan Bahan Ajar Kompetensi Menulis Sandhangan Mandaswara Bagi Kelas X SMK N 6 Semarang

Javanese script learning often has gaps between targets and outcomes, especially in the writing competence of Sandhangan mandaswara. The mistakes lies in writing words, sentences, and paragraphs. The purpose of this study is to describe the needs of materials, arrange the design of teaching materials, and describe the results of expert tests. The data sources are students grade X of SMK N 6 Semarang, teachers, and lecturers. Data collection techniques were carried out using observation, interviews, questionnaires, and expert test assessment sheets. The results was the needed of additional books which are interesting and contains complete material to guide students in learning sandhangan mandaswara. Prototype design of instructional materials was developed using the structure of instructional materials that have been restructured into a structure of teaching materials. The structure of these basic teaching materials includes; 1) learning objectives; 2) subject matter; 3) assessment. The results of the validation assessment of the material experts and users are divided into 3 aspects of the assessment. The relevance aspect gained an average value of 91.67% (very feasible), the consistency aspect gained an average of 86.11% (very feasible), the adequacy aspect gained an average value of 85.83% (very feasible). Conclusions from these aspects of the assessment obtained an average value of 87.25% with a very decent category. Then according to the 3 validators, the developed teaching material is very suitable for use in learning although it still needs revision to improve the quality of the teaching material.
Pengembangan Bahan Ajar Mata Kuliah Maos Naskah Jawi Carik

This research is a continuation of the first-year research resulting from an analysis of the needs, design, and develop teaching materials in the form of draft modules. The research then continued with the second-year research aimed at (1) describing the quality of teaching materials for maos (reading) the script of Jawi carik sekar in accordance to the expert judgment, (2) describing the test results of teaching materials for maos (reading) lectures of the script of Jawi carik sekar, (3) describing the final product of teaching materials for maos the script of Jawi carik sekar. It is the implementation of the ADDIE model for research and development (Dick &amp; Carry). The media development procedures in the first year include analysis, design, and development with the initial product in the form of draft modules. The media development procedures in the second year include implementation and evaluation. The validation of modules was conducted by experts in teaching materials and media. The average rating from materials experts was 88.8% and from the media experts was 95.2%. The assessment by both experts falls within the criteria of praiseworthy. Modules are tested in a small class of 15 students of semester 4 during Maos (reading) lectures of the script of Jawi Carik Sekar. The average score of studentsâ€™ opinion on the developed module was 80.1% with the criteria of very respectable.
Suspicious Human Activity Recognition and Alarming System

Abstract: Personal safety and social stability are seriously threatened by the violent activities. A variety of methods have been tried to curb the violent activities which includes installing of surveillance systems. It will be of great significance if the surveillance systems can automatically detect violent activities and give warning or alert signals. The whole system can be implemented with a sequence of procedures. Firstly, the system has to identify the presence of human beings in a video frame. Then, the frames which are predicted to contain violent activities has to be extracted. The irrelevant frames are to be dropped at this stage. Finally, the trained model detects violent behaviour and these frames are separately saved as images. The images along with other necessary details such as time and location is sent as an alert to the concerned authority. The proposed method is a deep learning based automatic detection approach that uses Convolutional Neural Network to detect violence present in a video. But, the disadvantage of using just CNN is that, it requires a lot of time for computation and is less accurate. Hence, a pre-trained model, Mobile Net, which provides higher accuracy and acts as a starting point for the building of the entire model. An alert message is given to the concerned authorities using telegram application.
Analysing and Reconstructing Data for Forensic Inference and Conclusion

Forensic science is important in helping to Analyze and Reconstruct evidence gathered to come to a logical conclusion of an investigation. Crime is not always committed in a straightforward or easily decipherable manner. Nor is it always possible for the investigator to prove what they suspect occurred with the evidence left behind. Analyzing has to do with the piecing of data or evidence together and processed so as to enable the investigator get a fair idea of what one might be looking for. Reconstruction refers to the systematic process of piecing together evidence and information gathered during an investigation to gain a better understanding of what transpired between the victim and the offender during a crime. Keywords: Africa, Cybercrimes, Cyber Security, Digital Forensics, Safety, Online
Fake News and the Covid-19 Pandemic: Repercussions on Nursing Assistance

Objective: To carry out a theoretical reflection on how fake news related to the COVID-19 pandemic had an impact on health and nursing care. Method: theoretical-reflective study about fake news related to the COVID-19 pandemic and the impact on health and nursing care. To search for articles/texts, the descriptors Fake News, COVID-19, Coronavirus Infections, Health Repercussions extracted from Descriptors in Health Sciences (DeCS) and Medical Subject Headings (MeSH) were used in Portuguese and English. and the keyword Repercussions in Nursing. The search took place in scientific databases and databases, with a thorough reading of articles related to the theme. Results and Discussion: Three guiding points/categories were elaborated to support the theoretical-reflective text of this article: “The Fake News in the COVID-19 pandemic”; “Some interferences of Fake News in the population”, with four subdivided categories and the last category “The impact on nursing care.” Final considerations: discrediting the recommendations of health professionals, especially nurses, had an impact on their health due to the stress they experienced, the disrespect and the violence they suffered, in the face of disbelief in relation to the correct guidelines that they verbalized and followed. It is understood that educational programs to stimulate critical thinking and online behavior are important strategies for the management of Fake News, helping to further prevent the dissemination of erroneous information about relevant topics related to the pandemic.