Reviewerly/exHarmony huggingface dataset:
Violations of the Readiness to Master Writing Skills of First-Graders of Secondary Schools and the Causes of Difficulties

The article deals with the actual problem of identifying difficulties and overcoming violations of writing in first-graders of secondary schools. The methods of determining the level of readiness, the results of practical research, the author’s view on the organization and content of correctional speech therapy are presented.
Pedagogical Potential of the Educational Process in Higher Education Institutions of the Ministry of Internal Affairs of Russia (The Case of Training Program 40.03.02 “Ensuring Law and Order”)

Due to the approval of the federal state educational standard of higher education — bachelor’s degree in the direction of training 40.03.02 “Ensuring Law and Order”, the question arises about the prospects of the educational process in higher educational institutions of the Ministry of Internal Affairs of Russia. The relevance of the research topic is due to the fact that until 2022, cadets were trained in the form of a specialist programme (5 years of training) in educational organizations of the Ministry of Internal Affairs of Russia. The article discusses the difficulties of the transition process caused by the shortening of the training period.
Typology of Pedagogical Interaction in Japanese School

A unique phenomenon in Japan is the pedagogical interaction of teachers and students. Its cultural specificity originates in the history of Japanese society, in the ancient traditions of social communication. The article reveals some features of pedagogical interaction in schools of modern Japan. The culturological approach and a set of methods are used: comparative analysis, content analysis, typologization, observation, systematization, analytical-synthesizing, literature analysis, etc. The result of the study is to identify the basic types of pedagogical interaction in Japanese schools. The Russian typology of pedagogical interaction and research of Japanese authors is taken as a basis.
Experience in Pedagogical Design of the System of Social Upbringing in an Educational Organization

The article reveals the practice of designing a local system of social upbringing for a secondary school on the example of Secondary School No. 41 in Omsk. In the course of the study, a project for a system of social upbringing in a secondary general school was developed, taking into account the characteristics of the microenvironment. The results of the study can be used to design systems of social education at the local level.
Means of the Expressing Sentiment in the Conditions of Modern Business Internet Correspondence in Russian, English and Chinese Languages

This research is devoted to the analysis of the means of expressing sentiment in business internet correspondence. The purpose of the study: review and study of the means of expressing tonality in an official business style; determination of the tone of business texts using various means on the material of business internet correspondence in Russian, English, Chinese. The objective of the study: to supplement the classification of means in three languages (taking into account their specifics) to determine the tone of the text and to distinguish the means of expressing the tone for business internet correspondence.
Interdisciplinary Links in the System of Choreographic Education of Students of Creative Universities: From Theory to Practice

The article attempts to trace the importance of interdisciplinary link in the disciplines of the professional block of the educational program for training choreographers at the University. The goal is to develop an interdisciplinary educational model for obtaining knowledge, skills and abilities on the example of folk stage dance for further implementation in the content component of the educational program for training choreographers at the University. The significance of the developed model lies in the fact that its application in the system of choreographic training of students will allow to form a professional level of knowledge of a specialist who possesses professional competencies provided for by the educational program.
Global Path Planning for Unmanned Ships Based on Improved Particle Swarm Algorithm

In this paper, the global path planning research is carried out using particle swarm algorithm in combination with the characteristics of unmanned boat navigation environment. To address the problem that the particle swarm algorithm is easy to fall into local optimum at the later stage, we first integrate chaos theory into the basic particle swarm algorithm, and generate chaotic population and replace some particles that fall into local optimum by chaotic iteration of contemporary global optimum, which improves the problem of insufficient particle diversity at the later stage of population search; meanwhile, to strengthen the local search ability of the algorithm, we combine the particle swarm algorithm with the following bee. To enhance the local search capability of the algorithm, we combine the particle swarm algorithm with the following bee strategy in the swarm search algorithm and propose the chaotic particle swarm-bee swarm algorithm. The improved algorithm is applied to the global path planning, and the simulation verifies the advantages of the search algorithm in terms of convergence speed and search accuracy.
Sound and video examples – issue 27 (2)

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Spam Detection and Fake User Identification in Twitter: An Analysis of Machine Learning Models

Spammer detection and fake user identification are significant issues in the realm of social media, with Twitter being no exception. The detection of spammers and fake users on Twitter is essential for preserving the platform's integrity and protecting users from online scams and fraud. This project paper aims to conduct a comprehensive study of the different techniques and algorithms used for spammer detection and fake user identification on Twitter. We will evaluate the effectiveness of traditional techniques and machine learning-based methods and propose a novel approach combining both methods for spammer detection and fake user identification on Twitterpils.
A New Profiling-Based Side-Channel Attack on Graphics Processing Units

Graphics processing units (GPUs) have been increasingly used to solve a range of compute-intensive and data-parallel scientific computing problems that can be perfectly parallelized for performance speedups. Particularly, GPUs have recently become popular to host the encryption/decryption algorithms due to its high-throughput computing capability. However, the security issues of moving the cryptographic algorithms onto GPUs have not been studied adequately. Consequently, with absence of any protection strategy, the potential vulnerabilities of GPUs to side-channel attacks (SCAs) may expose the confidential information with high risk. In this paper, we proposed a new profiling-assisted correlation-based side-channel attack (pacSCA) to demonstrate that ignoring security issues and naively moving security services onto GPUs can offer adversaries fatal vulnerabilities to thieve critical information. The results showed that the proposed SCA can rebuild the secure key of the AES-128 algorithm in less than 6 seconds, revealing the urgency of protecting GPUs against side-channel threats.
Forms of organisation of students’ academic research work in scientific student groups at universities of the Russian Empire in the late XIX – early XX century

The paper examines the features of organisation of students’ academic research work in the practice of scientific student groups at higher education institutions of the Russian Empire in order to identify the most effective forms of work that have not lost their relevance in the development of student science today. The paper presents the specifics of development of scientific student groups at Russian higher education institutions since the early XIX century, outlines the prerequisites for their appearance, describes the reasons for their intensive development. The work sheds light on the main goals and objectives of scientific student groups, describes the primary areas of their activities, outlines the practical results of their functioning in the late XIX – early XX century. It is noted that student scientific groups create conditions for the comprehensive and most complete development and realisation of students’ creative and scientific potential, form strong scientific traditions, contribute to the improvement of students’ knowledge in various fields of science, have different forms of organisation of students’ academic research activities. At the same time, the practice of organising students’ academic research work at higher education institutions of the Russian Empire within these student scientific groups in the late XIX – early XX century makes it possible to support students’ intellectual activities and enhance their cognitive abilities. The scientific novelty lies in analysing the forms of students’ academic research work at higher education institutions of the Russian Empire within student scientific groups in the late XIX – early XX century. The provision on the essence of the educational charter (the University Charter of June 18, 1863) and its relationship with the content of students’ academic research work in auxiliary institutions at universities and institutes of the Russian Empire has been further developed. Socio-economic, pedagogical factors in the development of scientific student groups in the late XIX – early XX century have been highlighted. The research findings can be used in the educational process of higher education institutions when teaching the courses “Fundamentals of Higher Education Pedagogy”, “History of Pedagogy” to students, postgraduates, teachers of higher education institutions, giving lecture courses on comparative pedagogy, the history of the Russian Empire, as well as when preparing the corresponding textbooks, methodological recommendations from the said courses, term papers and final qualifying papers at pedagogical education institutions of the III-IV levels of higher education accreditation.
Image compression in all-optical domain using one 6×6 multimode interference coupler

We present a new method for image compression using the Haar wavelet transform (HWT) in all-optical domain. The proposed architecture is based on the optical Haar wavelet transform using only one 6×6 multimode interference (MMI) coupler. By locating the positions of input and output waveguides and optimizing design length of the MMI, the expected matrix of the Haar transform is obtained. The new hardware architecture is suitable for directly integrating with digital cameras for image processing. The processing of images therefore is at very high speed. Our method can also be applied to data compression in big data analytics. Our structure can provide a large fabrication tolerance which is compatible with the CMOS existing technology. Our simulations show that the length variation of ± 2 µm still keeps the output powers unchanged. We have simulate successfully the use of the proposed HWT to compress cameraman image with the compressed ratios of 20, 30, 50 % with MSE and PSNR from 0.1 - 0.3 and 62 – 67 dB, respectively.
Classifying Malignancy in Prostate Glandular Structures from Biopsy Scans with Deep Learning

Histopathological classification in prostate cancer remains a challenge with high dependence on the expert practitioner. We develop a deep learning (DL) model to identify the most prominent Gleason pattern in a highly curated data cohort and validate it on an independent dataset. The histology images are partitioned in tiles (14,509) and are curated by an expert to identify individual glandular structures with assigned primary Gleason pattern grades. We use transfer learning and fine-tuning approaches to compare several deep neural network architectures that are trained on a corpus of camera images (ImageNet) and tuned with histology examples to be context appropriate for histopathological discrimination with small samples. In our study, the best DL network is able to discriminate cancer grade (GS3/4) from benign with an accuracy of 91%, F1-score of 0.91 and AUC 0.96 in a baseline test (52 patients), while the cancer grade discrimination of the GS3 from GS4 had an accuracy of 68% and AUC of 0.71 (40 patients).
LightRW: FPGA Accelerated Graph Dynamic Random Walks

Graph dynamic random walks (GDRWs) have recently emerged as a powerful paradigm for graph analytics and learning applications, including graph embedding and graph neural networks. Despite the fact that many existing studies optimize the performance of GDRWs on multi-core CPUs, massive random memory accesses and costly synchronizations cause severe resource underutilization, and the processing of GDRWs is usually the key performance bottleneck in many graph applications. This paper studies an alternative architecture, FPGA, to address these issues in GDRWs, as FPGA has the ability of hardware customization so that we are able to explore fine-grained pipeline execution and specialized memory access optimizations. Specifically, we propose LightRW, a novel FPGA-based accelerator for GDRWs. LightRW embraces a series of optimizations to enable fine-grained pipeline execution on the chip and to exploit the massive parallelism of FPGA while significantly reducing memory accesses. As current commonly used sampling methods in GDRWs do not efficiently support fine-grained pipeline execution, we develop a parallelized reservoir sampling method to sample multiple vertices per cycle for efficient pipeline execution. To address the random memory access issues, we propose a degree-aware configurable caching method that buffers hot vertices on-chip to alleviate random memory accesses and a dynamic burst access engine that efficiently retrieves neighbors. Experimental results show that our optimization techniques are able to improve the performance of GDRWs on FPGA significantly. Moreover, LightRW delivers up to 9.55x and 9.10x speedup over the state-of-the-art CPU-based MetaPath and Node2vec random walks, respectively. This work is open-sourced on GitHub at https://github.com/Xtra-Computing/LightRW.
Challenges in Conversational Agents to support Informal Caregivers of People with Dementia

People who have dementia (PwD) experience deteriorating executive functions, in particular their working memory, and therefore find it hard to complete multistep tasks or activities of daily living. There is no doubt that during the pandemic, PwD and their caregivers were particularly vulnerable, often isolated which affected their mental and physical health. Their ability to live independently was hampered, fomenting depression in the PwD and burnout on informal caregivers. Information technology can support dementia care improving the quality of life of PwD and easing the burden on caregivers. There is an increasing demand to support informal caregivers and improve their well-being by making dementia challenges less severe. This study uses qualitative techniques to design a model with technological strategies based on semi-structured interviews applied to seven informal caregivers from two different countries. Based on these interviews we developed design insights for implementing solutions to help informal caregivers take care of their PwD at home using conversational agents. We hope that the findings presented in this study will help researchers, and developers design solutions that can support PwD and informal caregivers.
Increasing Performance of Multiclass Ensemble Gradient Boost uses Newton-Raphson Parameter in Physical Activity Classifying

The sophistication of smartphones with various sensors they have can be used to recognize human physical activity by placing the smartphone on the human body. Classification of human activities, the best performance is obtained when using machine learning methods, while statistical methods such as logistic regression give poor results. However, the weakness of the logistic regression method in classifying human activities is corrected by using the ensemble technique. This paper proposes to apply the Multiclass Ensemble Gradient Boost technique to improve the performance of the Logistic Regression classification in classifying human activities such as walking, running, climbing stairs, and descending stairs. The results show that the Multiclass Ensemble Gradient Boost Classifier by Estimating the Newton-Raphson Parameter succeeded in improving the performance of logistic regression in terms of accuracy by 29.11%.
Pembelajaran Tentang Tugas dan Wewenang Bagi Penjaga Perlintasan Sebidang dengan Jalan Raya

Learning is a knowledge transfer process involving the system in the education world: teachers/educators, students, materials, goals, and tools. The purpose of this education and training is to transfer and share knowledge and experience between instructors and training participants regarding the duties and authorities of crossing guards on a railroad plot with a highway. The method used is face-to-face learning with 2 JP or 100 minutes. The teacher gives a questionnaire that the training participants fill out. The questionnaire contains the latest education, work area, and 13 (thirteen) questions related to the duties and authorities of a level crossing guard with a highway. The results of the questionnaire obtained that there were still 6 participants whose total percentage of answers was still below 60%, and there were still 14 participants whose percentage of responses was still below 70%. There are 5 participants whose answer percentage is 100%. Based on this, learning is still needed to increase the knowledge and competence of each individual because safety at level crossings is an absolute thing. After all, it is related to the safety of lives and objects of road users who pass at level crossings.
TRANS-IT

A translator is an application that can be utilized for translating from English to any other dialect, and vice versa.The problem of language difference has hindered effective information communication over the years.There have been difficulties in information communication amid countries over the years.In modern times, language interpreters must understand and speak both the language been translated to and verse-visa.The proposed language translation makes use of Google's real-time translation API herbal language processing with Java programming language to expand the application.The most used languages globally (i.e., English, Spanish, Arabic, Hindi, French, and Chinese) were used for the android application translation.This application can be useful for Tourists for communication purposes, thus allowing them to integrate with the local people and access the right information.The system will also be able to evaluate language translation to determine their suitability for everyday conversation; given the fact that it is an android application, one will always be willing to use their phone to learn, compared to having them on a computer or learn from a physical tutor.The application was evaluated based on the classification time the memory usage.
AN ANDROID &amp; IOT APPLICATION FOR SECURITY SYSTEM OF MANKIND: A MONITORING, TRACKING AND RESPONDING DEVICE

The term "Smart Device" mainly refers to the wearable devices that monitor and record a person's Security.Tracking physical activity and proves constructive to the person in danger and helps them to fight such odds.However, little information exists about the comparability of wearable trackers individual's location.This device is a real-time, portable, Scrabble system that consists of a button that triggers the Raspberry-Pi, which sends the alert message, and our device check pulse rate and pulse rate is high then victims' current location with a recorded image of the crime and also produces a high frequency alarm to draw the attention of others.Although, this device has been designed primarily for women, elderly people and children security, it can also benefit other members of the society which includes anyone who faces an unsafe situation.
Pedagogical aspects of professional competence development of technical university students

The paper discusses the psychological and pedagogical aspects of the process of professional competence development of technical university students, associated with the increase in the requirements of employers to the portfolio of professional competencies of modern specialists. The authors discuss the problem of improving teaching methods and techniques; modernization of organizational forms and educational and methodological support for the professional competence development of technical university students on the example of the Heat and Power faculty of SamSTU. The paper stimulates a discussion about professional competencies, active and interactive teaching methods aimed at developing the ability of technical university students for self-development and self-study in order to effectively implement possible scenarios for their professional development trajectory. The aim of the study is to develop methodological recommendations to enhance the professional competence of students of the Heat and Power Faculty of Samara State Technical University, involving the use of modern educational approaches and improving the methodology for individualizing education at a technical university. The results of the study are achieved by solving the following tasks: conducting expert surveys (respondents: teachers and university students) to determine the most effective teaching methods; creating methodological materials. This study was carried out in several stages. Tasks of the theoretical stage include the analysis of the psychological and pedagogical aspects of the implementation of methods and organizational forms that ensure the effective formation of professional competence of students of a technical university. Tasks of the diagnostic stage of the study are conducting a questionnaire survey of students in order to assess the importance of the competencies necessary for successful professional activity; conducting a questionnaire survey of students and an expert survey of teachers in order to assess the significance of methods, methodological support and organizational forms of education at a technical university. The paper presents the results of surveys of students of the Heat and Power Faculty of Samara State Technical University and university teachers (2021-2023). The respondents of the expert survey were students of the advanced training program Management of the educational process: psychological and pedagogical competence of a technical university teacher and the retraining program Teacher of higher education of SamSTU Institute of Extended Education. The following methods were used in the study: expert survey, observation, questioning. The perspective of the research is the modernization of the methodology of individualization of education and educational and methodological support for the professional competence development of technical university students.