Reviewerly/exHarmony huggingface dataset:
PREPARING FUTURE TEACHERS FOR DIGITAL EDUCATIONAL CONDITIONS: MEDIA COMPETENCE

The article describes the features of the formation of media competence in the preparation of future teachers for digital education. The authors define media competence, define pedagogical principles and methods of its formation among university students. The issues of the development of media competence among future teachers in the system of higher professional education are also considered, traditional and innovative methods of domestic media education are discussed. In the course of the study, it was proved that every teacher who in the future will carry out professional activities in accordance with the requirements of digital education, having a basic understanding of the directions and principles of media, will be able to turn it into the main tool for improving their media competence. The content of the article is devoted to the analysis of the features of the professional training of future teachers in the conditions of digital education and the determination of the possibilities of forming their media competence. The results of a study conducted in the direction of the formation of the media competence of future teachers are presented.
Optimization of octree-based adaptive geometry quantization via up-sampling for G-PCC

To improve the reconstructed point cloud after adaptive geometry quantization in geometry-based point cloud compression, a least squares plane (LSP) projection-based up-sampling method and a quantization parameter (QP) decision method based on loss function are proposed. First, the LSP fitting is carried out to locate the interpolated point based on the nearest neighbors of the current node during decoding, enhancing both the subjective and objective quality of the reconstructed point cloud. Second, the QP decision for each node is based on the mean squared error between the original point cloud and the reconstructed point cloud. The experimental results show that the proposed methods achieve performance gains in terms of point-to-point and point-to-plane errors for geometry by 6.3% and 1.6%, respectively, and for attributes by 1.5%, 0.7%, and 0.5%. There also has been a significant improvement in subjective quality.
QueryEdge: Real-Time Muti-Video Query in Edge-Cloud Collaborative System

The real-time query of surveillance video plays a significant role in many fields such as public safety, smart city, and abnormality monitoring. However, with the exponential growth of surveillance video data, traditional cloud-based intelligent video processing faces significant challenges in terms of latency and bandwidth, while the pure edge computing approach is deficient in query accuracy due to its lack of computational power. Existing edge cloud collaboration approaches, such as SurveilEdge, focus on real-time target queries within a single video stream and do not show promising results during target queries across multiple video streams. For this reason, this paper proposes Query Edge, an edge-cloud collaborative real-time query system for multiple video streams. Specifically, we design a real-time query system based on an edge-cloud collaboration framework to achieve highly accurate and low-latency target query services in multiple video streams. In addition, we introduce a prioritization mechanism and a load-balancing strategy in the query task scheduling process to further improve query efficiency. The evaluation proves that QueryEdge has a significant improvement in query latency and bandwidth consumption compared with pure cloud computing, pure edge computing, and SurveilEdge.
A prompt tuning method for few-shot action recognition

Vision-language pre-training models learn visual concepts from image-text or video-text pairs, which can be adopted for visual-textual tasks. In this paper, we adopt these concepts as prior knowledge to solve the unreliable problem of minimizing the loss of limited training samples in few-shot action recognition tasks. In particular, a two-stage framework of vision-language pre-training and prompt tuning is designed. In the pre-training stage, multi-modal encoding models are jointly trained on video-text pairs to learn the semantic correspondence between video and text. In the prompt tuning stage, a prompt module with instance-level bias is trained on a few video samples to utilize the pre-trained concepts for the classification task. The experimental results show that the proposed method is superior to the baseline and state-of-the-art few-shot action recognition methods on two public video benchmarks.
High-Fidelity Free-View Talking Head Synthesis for Low-Bandwidth Video Conference

As video conferencing becomes an indispensable part of human’s daliy life, how to achieve a high-fidelity calling experience under low bandwidth has been a popular and challenging issue. Deep generative models have great potential in low-bandwidth facial video compression due to the excellent generation capability based on abridged information. Nevertheless, exsiting deep generation-based compression methods tend to handle motion information in pure 2D or pseudo 3D space, causing facial distortion when large head poses are encountered. In this paper, we propose a 3D-aware high-fidelity facial video conferencing system based on a parameterized NeRF-based face model. Through the compression of the parameterized face model and the transmisstion of extracted facial parameters, we implement high-fidelity talking head synthesis for video conferencing at an ultra-low bitrate. Additionally, the 3D perception capability of the system allows for viewpoint control over the head, achieving higher interactivity and practicability. Extensive experiments verify the effectiveness of the proposed 3D-aware high-fidelity free-view facial video conferencing system.
Handwritten OCR for Indic Scripts: A Comprehensive Overview of Machine Learning and Deep Learning Techniques

The potential uses of cursive optical character recognition, commonly known as OCR, in a number of industries, particularly document digitization, archiving, even language preservation, have attracted a lot of interest lately. In the framework of optical character recognition (OCR), the goal of this research is to provide a thorough understanding of both cutting-edge methods and the unique difficulties presented by Indic scripts. A thorough literature search was conducted in order to conduct this study, during which time relevant publications, conference proceedings, and scientific files were looked for up to the year 2023. As a consequence of the inclusion criteria that were developed to concentrate on studies only addressing Handwritten OCR on Indic scripts, 53 research publications were chosen as the process's outcome. The review provides a thorough analysis of the methodology and approaches employed in the chosen study. Deep neural networks, conventional feature-based methods, machine learning techniques, and hybrid systems have all been investigated as viable answers to the problem of effectively deciphering Indian scripts, because they are famously challenging to write. To operate, these systems require pre-processing techniques, segmentation schemes, and language models. The outcomes of this methodical examination demonstrate that despite the fact that Hand Scanning for Indic script has advanced significantly, room still exists for advancement. Future research could focus on developing trustworthy models that can handle a range of writing styles and enhance accuracy using less-studied Indic scripts. This profession may advance with the creation of collected datasets and defined standards.
ANIMASI PEMBELAJARAN SISTEM PENCERNAAN PADA MANUSIA BERBASIS MULTIMEDIA DI SD NEGERI NO 034820 LAU PETUNDAL

The objective of this study is to create and assess an interactive educational animation about the human digestive system for elementary school students at SD Negeri No 034820 Lau Petundal. The development method uses a multimedia approach that involves designing, producing, and testing animations as learning tools.The results showed that the multimedia-based learning animation of the digestive system was able to improve students' understanding of the material. Thus, This educational animation serves as a viable alternative to effectively facilitate the learning process about the digestive system in elementary school students, contributing to the development of education that is more interesting and easy to understand.
Automatic Screening of Pathological Myopia Using Deep Learning

Pathological Myopia (PM) is one of main causes of visual impairment and irreversible blindness worldwide. Its social and economic burden has been demonstrated by epidemiological studies. Early detection and intervention of PM are crucial to slow down the degree of retinal damage and decrease the risk of blindness. However, manually scrutinizing is tedious and subject to uncertainties. In the paper, therefore, we propose an AI-driven fundus screening system for PM, which can identify characteristic of PM directly from fundus imaging without expert intervention. The automatic PM screening system consists of a set of advanced Convolutional Neural Networks (CNNs) based on 3,796 color fundus photographs, via Transfer Learning and Ensemble Learning technology. Furthermore, we empirically investigate the performances of both the lightweight and larger-scale networks on this work to construct the optimal model. Finally, we evaluate the validity and reliability of the PM screening system through six metrics. Experimental results show that the screening system for PM performs excellently, with an accuracy of 99.7%, a sensitivity of 99.5% and a specificity of 100%. This work has the potential to provide insights and reduce workload in PM screening for ophthalmologists.
PERANCANGAN APLIKASI PENILAIAN KINERJA KEPALA LINGKUNGAN KECAMATAN MEDAN HELVETIA DENGAN METODE GRS &amp; 360 DEGREES BERBASIS ANDROID

Performance appraisal is an important part of seeing the results of each employee's work performance, including the Head of the Neighborhood who is the spearhead of Government services to the community. However, the Head of Neighborhood has not found a standardized performance appraisal so that the author is interested in making a performance appraisal system for the Head of Neighborhood, especially in Medan Helvetia District and at the same time building an easy-to-use assessment application. This Neighborhood Head Performance Assessment Application uses a combination of the Graphic Rating Scale (GRS) algorithm to make it easier to see the assessment results and the 360 Degrees algorithm so that the assessment results are more objective. The assessment results obtained can be a recommendation for reward and punishment. The application also requires development to iOS-based smartphones so that more users can utilize it.
Structural equations of the relationship between the lifestyle of Women employees with the experience of work immersion with the mediation of organizational commitment

Aim: The present research was conducted with the aim of structural equations of the relationship between the psychological needs of employees with the experience of flow at work with the mediation of organizational commitment. Methods: The current research method was correlation type and structural equation method was used. All the female employees of the Islamic Azad Universities of Tehran in the academic year of 2019-21 formed the statistical population of the present study, and 339 employees were selected as a sample using the random sampling method. To collect data, a questionnaire tool was used: the questionnaire on the experience of drowning in work Talabighi (2013), psychological needs Deci and Ryan (2000) and the organizational commitment questionnaire Allen and Mayer (1997) were the research tools, which were reliable and valid. Questionnaires in this research were calculated using Cronbach's alpha 0.865, 0.921 and 0.793 respectively for the aforementioned questionnaires. To analyze the data, Pearson's correlation coefficient and structural equation model were used and using software SPSS 24 and AMOS 24 were used. Results: The results of the analysis showed that there is a significant positive and direct relationship between the psychological needs of employees with the experience of flow at work work and the organizational commitment of the organization (P&lt;0.05). Also, the results of structural equation analysis showed that organizational commitment mediates the relationship between employees' psychological needs and the experience of flow at work work (P&lt;0.05). Conclusion: attention and emphasis on promoting organizational commitment can be It helps to create a clear picture of the effective human force with appropriate psychological needs and the experience of flow at work.
Joint Task Assignment and Migration in Cloud-Edge-End Collaborative Computing Based on DRL

By effectively assigning and migrating tasks based on service requirements, the success rate of task execution in cloud-edge-end collaborative computing can be significantly enhanced, thereby ensuring the provision of high-quality services for users. The majority of conventional cloud-edge-end task offloading approaches primarily focus on static scenarios, posing challenges in ensuring the success rate of task execution in mobile scenarios. It is imperative to address the problem of constructing a joint optimization scheme for task allocation and migration that is suitable for mobile scenarios. This paper re-define the latency, energy, and migration model for task processing in mobile scenarios. Furthermore, we propose a Deep Reinforcement learning (DRL)-based Task allocation and Migration optimization algorithm (DRTM) to enhance the efficiency of task completion and minimize the total cost. DRTM introduces the traditional Actor-Critic with a mirror deep deterministic policy gradient (DDPG) and establishes a duel Q-network to update parameters on respective gradients for optimal policy acquisition. DRTM incorporates two target networks to effectively improve stability and convergence speed during training while reducing computational complexity. The experimental results demonstrate that DRTM can offer a high-performance task assignment and migration scheme in mobile scenarios, thereby significantly reducing the total cost of the task execution life cycle.
Teaching Situation Design Based on Kolb's Learning Theory From the Perspective of Embodied Cognition

Embodied cognition advocates learning behavior based on body perception, and the created teaching situation should encourage students to participate in teaching activities and produce real experience. Based on the theory of embodied cognition, combined with the four adaptive learning stages of Kolb's Learning Cycle, this research designs and develops the Beijing open science practice course "Lighting up Aladdin's magic lamp". Through two spiral learning cycles, and using virtual experiment technology, it carries out the embodied teaching practice, so that students can grasp the energy conservation law and design Solar thermal power station.
Upaya Penanganan Kenakalan Remaja Melalui Sosialisasi Di SMPN 04 Kampung Jati Mulya

KKN are activities that must be carried out by Riau University students to serve themselves to the community. This research aims to document and analyze efforts to suppress juvenile delinquency through socialization at SMP Negeri 04 Kampung Jati Mulya. Juvenile delinquency is a social problem that requires serious attention from various parties, especially in the educational environment. This research involves analysis of socialization activities carried out by UNRI KKN to shape positive behavior in teenagers and prevent juvenile delinquency. The method used is the observation and socialization stages. As a result of this research, the teenagers of SMPN 04 Jati Mulya are aware that the actions they take will become the basis for their next actions.
H3PC: Enhanced Security and Privacy-Preserving Platoon Construction Based on Fully Homomorphic Encryption

With the increasing adoption of connected and autonomous vehicles, platooning services have emerged as a promising solution to enhance road traffic efficiency. However, the widespread deployment of platooning services raises concerns about the privacy and security of sensitive vehicle data. This paper proposes a novel privacy-preserving framework for platoon formation, named H3PC (Homomorphic Privacy-Preserving Platooning Construction), to address privacy and security challenges. The proposed approach is based on fully homomorphic encryption and order-preserving encryption, to enable secure and private operations within the platoon construction. In addition, the H3PC framework incorporates a safe vehicle control method that adheres to established norms in the literature. By striking a balance between security and computational efficiency, H3PC enables effective platooning construction. Furthermore, we present experimental results demonstrating the performance and latency of H3PC.
Project technology is a means of forming students' reflexive competence

The article reveals the importance of professional competence in the educational process, including the place of reflexive competence and the possibilities of project technology in its formation.In modern conditions, not only the actual knowledge of the student is of particular importance, but also his ability to professionally car-ry out certain professional activities, which becomes the main object of evaluation and a property of the quality of training.In order to form reflexive competence and increase the cognitive interest of students, there is a need to develop new methods of creative work with students and choose the most effective and rational ones. Such an effective pedagogical technology is a project technology that makes it possible to improve the quality of vocational training by including students in various activities.The application of the project tech-nology in teaching focuses modern students not only on the simple assimilation of knowledge, but also on the ways of assimilation, models and methods of thinking and activity, the development of cognitive activity and creative potential of each student. The relevance of mastering the basics of project activity is due to the fact that it has a wide scope of application at all levels of the organization of the education system, allows for more effective analytical, organizational and managerial functions and ensures the competitiveness of a spe-cialist
Key competencies of a teacher in the era of digitalization of education

This articleis devoted to the study of the digitalization of education in Kazakhstan, the stages of its develop-ment, the main trends and the evaluation of its effectiveness on the basis of higher professional education.The purpose of our study is to theoretically substantiate and review the state of digitalization of higher profes-sional education in Kazakhstan and evaluate its effectiveness at the present stage of education and determine the path for further development.The article analyzes the formation of the stages of computerization, inormatization, automation and digitalization of society, information and educational technologies and IT re-sources used by teachers of two faculties (natural science and technical) in the educational process of Aktobe Regional University named after K. Zhubanov and preferences for the use of digital transformation of educa-tion.Our analysis of scientific sources on the digitalization of education presented and revealed the main trends, risks, advantages, imperfections and pitfalls of the digitalization of vocational training.The article discusses how the work of teachers and students was organized during the post-pandemic period when using the skills of online education and applying the achievements of digitalization of the educational process.The digitalization of education significantly changes the requirements for teachers. Teachers must master modern technologies, be able to use them effectively in the educational process and possess the key skills necessary to fulfill their professional duties.The results of a study of the attitude of teachers and students of the Aktobe Regional University named after K. Zhubanov of the Faculty of Natural Sciences and the Faculty of Engi-neering to digital transformation and the use of information and communication technologies are presented and the main indicators are identified, the trends in the use of modern digital technologies. The results ob-tained allow us to determine the main problems of education at the present stage.The main problems of digi-talization of higher professional education in Kazakhstan are indicated. The attitude of teachers of Faculty of Natural Sciences and the Faculty of Engineering to the digital transformation of education, the formation of digital competencies and theattitude to restrictions and risks in the transition to the digitalization of education is shown. The main prospects for continuing research on the use of digitalization in education are outlined.
Psychological aspects of the teacher's activities within the framework of personal-oriented training in a technical university

The article is devoted to the issue related tothe perception and knowledge of the student's personality by the teacher within the framework of a person-oriented learning model. The authors consider the structure of ped-agogical activity including professional psychological and pedagogical knowledge, pedagogical skills, per-sonal characteristics.Particular attention is paid to the psychological aspects of solving the problems of peda-gogy associated with interpersonal interaction in the learning process. The authors present an overview of the psychological components of the teacher's personality, perceptual mechanisms: empathy, reflection, casual at-tribution. They are a condition for achieving high productivity in student education, which implies an ade-quate reflection by the teacher and student of each other and the establishment of mutual understanding and effective interaction on this basis.One of the fundamental factors in the productive implementation of per-sonal-oriented training was the professional attitude of the teacher, which acquires psychological content and determines the tactical capabilities of his activities. The authors emphasized that the content and psychology of the teacher's activities is determined not only by social factors ― the place, functions, requirements of so-ciety, but also by socio-psychological factors ― by the expectations of others in relation to the teacher's per-sonality and activities, his own expectations, attitudes and value constructs in the field of professional activi-ty, which are the source of his activity. The article presents the results of a study of the professional attitudes of the teacher on the perception of students. The work was carried out on the basis of the Karaganda State Technical University named after Abylkas Saginov. The study involved 60 universityteachers aged 30-60 years.