Reviewerly/exHarmony huggingface dataset:
Satisfaction Survey on the Joint-Training Open Base for Engineering Postgraduates in Guangdong – Take Guangdong Province Foshan Graduate Joint Training Base as an Example

The Joint-training Open Base for Engineering Postgraduates is a government-built engineering practice open platform for the integration of production and education.In order to acquire the satisfaction of postgraduates with the engineering practice, a questionnaire survey was conducted on 399 postgraduates jointly trained by 15 universities and 101 enterprises from Guangdong Province Foshan Graduate Joint Training Base (hereafter denoted as Foshan Base).The results show that the overall satisfaction rate of the Open Base is 83.4%, which is higher than comparable Open Bases nationwide.The satisfaction rate with the academic ability of enterprises and enterprise tutors is relatively low, and the cohesive courses and R&D projects are strongly related to the satisfaction rate.Postgraduates are advised to pay close attention to the development of engineering professional ability and government guarantees delivered by the Open Base.It is recommended to further improve the Open Base operation system, accelerate replication and promotion, and further enhance the ability of service industry development.
Exploration of Countermeasures for the Competitiveness of China's University Education

The quality of university education is directly related to the development of the country and society.Nowadays, the competition pressure of college education is gradually increasing, and how to improve the competitiveness of college education has become an important issue.In the article, the author makes a detailed analysis of the connotation of the competitiveness of college education and its main characteristics and basic requirements, sorts out and studies the main problems existing in the work of college education in China, and puts forward relevant countermeasures on how to effectively improve the competitiveness of college education for reference.
UPBRINGING IN THE SYSTEM OF LITERARY EDUCATION: AN AXIOLOGICAL TURN

Introduction. The paper analyzes the approaches to upbringing in the system of literary education in terms of pedagogical axiology. The research aims to analyze the axiological turn in teaching literature at school, which supports upbringing as a subsystem of literary education, and to contribute to its understanding. Materials and methods. The research relies on the axiological (value) approach to teaching literature and the holistic concept of literary education axiologization justifi ed by the author. It focuses on the systematic modernization of approaches to upbringing through the value-based self-determination of school readers. The current sources that determine the content of literary education – an Approximate literature program (2021), a textbook of literature for elementary school, materials on the literature of the digital platform “SberClass” - are analyzed emphasizing the traditions and achievements of contemporary methodological science, which testify to the axiological turn in the methodology”. Results. The scientifi c methodological and cultural sources, exemplary syllabus, and educational resources have been analyzed. The analysis indicates that solving the traditional problem of upbringing in the system of literary education is associated with its axiologization. There is a contradiction between the state of methodological science, the substantiation of psychological mechanisms of students’ value-based self-determination, methodological tools supporting the process of mastering spiritual and moral values, patriotic upbringing, and the conservative content of the exemplary literature syllabus, methodological tools of textbooks. At the same time, the precedents that confi rm the manifestations of the axiological turn in practical methodology and its resources stimulating the process of upbringing a personality have been analyzed and described. Conclusion: The given examples, which are of precedent nature, prove the relevance and real possibility of an axiological turn in the teaching literature methodology, upgrading the approaches to upbringing, and the possibility of systemic changes. This trend has a social signifi cance. Its neglect turns into disastrous formalism and stagnation in the fi eld of literary education and upbringing.
PERANCANGAN SISTEM INFORMASI PERPUSTAKAAN BERBASIS WEB PADA SEKOLAH TINGGI TEOLOGOI POKOK ANGGUR JAKARTA MENGGUNAKAN PHP DAN MYSQL

The library information system is an information system that is indispensable in the processing of the process of borrowing books, especially for libraries. Student registration transactions, book lending, and book returns are more integrated, thus helping the parts of the system to exchange information and make decisions quickly. The problems faced by the library of the Jakarta Grape Theology College are not yet available good information, for example the lack of information on books to borrow and complete and adequate information for students. This research is designed with a website-based information system and uses the waterfall method, and this application is made using PHP and MySQL for the database. With this system is expected to be able to overcome the various needs of users to search for books and borrow books so as to facilitate computerized-based libraries in an effective and efficient manner. From the results that have been implemented the author implements the results of this study into "DESIGN OF INFORMATION SYSTEMS BASED ON WEBSITE IN JAKARTA WINE THEOLOGY HIGH SCHOOLS USING PHP AND MySQL"
Transversal competences of a modern teacher in the context of the training for the work in the new Ukrainian school

The research reveals categorical, conceptual and theoretical, scientific and pedagogical parameters of the problem related to transversal competences formation of future teachers in the context of their training for the work in the New Ukrainian School (NUS). The paper aims to highlight terminological, conceptual and structural parameters of transversal competences phenomenology in the context of future teachers training for the work in the New Ukrainian School. The term “transversal competence” describes competences which realise the transfer of the acquired knowledge, abilities and skills systems in the plane providing the solution of tasks and situations belonging to real life practice through expressing person’s individual metacognitive potential. Taking into account the recent researches, the professionally significant transversal competences of a modern teacher were analysed and classified; instrumental, interpersonal and integral competences were specified. The study concludes that transversal skills acquired by the teacher of the New Ukrainian School are a complex of instrumental (implemented into practice), interpersonal (individually generated) and system-based (integral) competences which realise the transfer of the acquired knowledge, abilities and skills systems in in the plane providing the solution of pedagogical and professional tasks, as well as situations within educational practice through expressing person’s individual metacognitive and professional potential. The performed diagnostic analysis provides the information about future teachers’ awareness of the conceptual-terminological matrix of “transversal competence” phenomenology in the context of training them in performing their future professional activity in the New Ukrainian School. The level of future teachers’ awareness of the functional role of transversal competences in the effective training enabling future teachers to perform their professional activity in the NUS is identified as unsatisfactory.
Effective Classification of Colon Cancer using Resnet-50 in Comparison with Squeezenet

Aim:The work aims to find out a better way to perform colon cancer identification with the help of Resnet-50 algorithm in comparison with a Squeezenet algorithm to maximize the accuracy in finding rather than the existing method of prediction.Materials and Methods: A collection of 30 samples were picked for consideration; group 1 visualizing Resnet-50 classifier algorithm and finally group 2 is responsible for the Squeezenet algorithm.Thus G power calculation is done with a power of 80.5% and the alpha value is equivalent to 0.061.Results: When compared to the Squeezenet algorithm, the Resnet-50 classifier algorithm has attained an accuracy of 87.5060 % which is somewhat greater than the existing method.(i.e.Squeezenet algorithm obtained an accuracy of 85.5433 %). Conclusion:From the above statement it is evident that the Resnet-50 algorithm would be a better choice for predicting colon cancer and it is more effective.
Image Encryption Paillier Homomorphic Cryptosystem

With the increasing use of media in communications, both academia and industry pay attention to the content security of digital images. This research presents a Homomorphic cryptosystem-based asymmetric picture encryption technique (Paillier). The algorithm is used for securing images that transmit over public unsecured channels. The Homomorphic property is used in this paper, which is comprised of three steps: key generation, encryption, and decryption. To realize such approach, the encryption cryptosystem must support additional operation over encrypted data. This cryptosystem can be effective in protecting images and supporting the construction of programs that can process encrypted input and produce encrypted output. Index Terms —Homomorphic, Partiall HE, Paillier Homomorphic, Encryption.
Shader Graph

Shader programming is at a somewhat strange crossing of disciplines. Obviously, since there is code involved, you need some amount of programming ability, but many people who write shaders bring their programming experience from other languages rather than learning shaders from scratch as their first language. If you are only interested in writing shaders, then there are many concepts you may need to learn from scratch, which increase the barrier to entry. If you’re an artist wishing to write shaders, but you have no programming experience, then shaders can seem daunting. There’s a tool that is perhaps more approachable for artists due to the lack of programming while still being usable by programmers: Shader Graph.
Interactive internal training for teachers

Schooling is a conservative system that must respond fast to the challenges of modern life. New challenges are: the need to develop children’s self-reliance in learning during the transition from primary to secondary school, to help children build an individual study path, to organize education in inclusive settings. How to help teachers master new competencies, what internal training should be like – these are the questions the present study provides answers to. The presented concept describes an experiment in identifying and solving professional problems of teachers in secondary schools of the Russian Federation.
RECALL NETWORK: VISUALIZATION OF ELABORATION CIRCUMSTANCES BASED ON ANALYSIS OF PARALLEL EDIT HISTORIES OF DOCUMENTS

Recent years have seen an increasing need to perform complicated documenting work in which document creation and refinement are stacked while performing multiple tasks in parallel, such as referring to existing documents and searching Web pages.To successfully perform this kind of work, it is important to precisely grasp the circumstances and deliverables of past work and use them for later work.In particular, workers often need to recall work processes and relevant documents for which they have only a vague memory.Such recall is difficult because the number of relevant documents increases greatly as the work continues for a long time and becomes more complicated.In this research, we aim to develop methods for organizing documents involved in complicated documenting tasks.By applying these methods, we design a mechanism to support recall of work circumstances.This paper mainly describes a prototype system that accumulates historical data, organizes relevant documents, and visually presents work circumstances to the user.
Electronic Architecture—Solutions for archetypal coupled spaces

We will discuss solutions for the most common coupled spaces in performing arts facilities—Balconies and Stages. While there are exceptions, seats in balcony and under balcony spaces sometimes have less than ideal listening conditions. For electronic and close miked sources, supplemental sound reinforcement can help to provide expected perception of the direct sound. However, perceived acoustical conditions do not match that of the main volume; the sense of engagement is compromised. Electronic Architecture incorporated in these spaces can dramatically improve listening uniformity. Additionally, the loudspeaker array can be used for supplemental sound reinforcement including film surround sound. Many multi-purpose performing arts venues do not have resources to procure, deploy, strike, or store an architectural stage shell system. A virtual shell is far more cost effective, requires less time and manpower to set up or strike, and requires far less storage space. In addition, it provides far greater acoustic variability—accommodating a wider range of performances.
Programming in the Power Platform

The Power Platform is a great environment but does things a bit differently than traditional development tools. This chapter illustrates this as we take on the challenge of a simple form to compose and send an email in .NET, HTML/JavaScript, Power Apps on its own, and Power Automate and Power Apps in combination. That will allow us to examine core programming concepts and explain how the Power Platform implements them, often in ways different than those of you familiar with those other environments might expect. If you are not familiar with these other environments, however, feel free to jump ahead to the Power Apps section.
Cryptanalysis and improvement of an authentication scheme for IoT

With the interference of various types of embedded devices, sensors and gadgets in day-to-day life, the buzzword internet of things (IoT) has become very popular. In the context of IoT environment, proper device authentication is important. Recently, Wang et al. (2017) introduced an authentication protocol for secure communication between the embedded device and the cloud server over IoT networks. They insisted that their protocol is secure from various attacks in the open network. However, we show that Wang et al.'s (2017) protocol is not secure against impersonation attack, replay attack and it does not provide device's anonymity. To conquer these problems, we design an improvement of Wang et al.'s (2017) protocol. We show that our protocol is secure against various attacks; specifically, it is free from the attacks pointed out in Wang et al.'s (2017) protocol. Through performance evaluation of our proposed protocol with the existing related protocols, we show that the proposed protocol is suitable for IoT environment.
Neutrosophic Cognitive Maps for Violence Cause Analysis

Among the most valuable AI methods for modeling complicated things at the moment is the use of fuzzy cognitive mapping (FCMs). Conventional FCMs, on the other hand, can't handle the ambiguity that often arises in decision-making scenarios. A novel expansion of conventional FCMs called neutrosophic cognitive mapping (NCMs) was developed to address this shortcoming. However, the indeterminacy is not well handled by the NCMs stated in the citations since the level of indeterminacy is not quantified. In certain cases, choices should be seen as a series of steps that are only loosely related to one another. This occurs in project assessment when several activities depend on one another. Another difficult aspect of FCMs is that there isn't an appropriate topology for representing these types of decision-making difficulties. To aid in making decisions over several time periods, this research introduces a neutrosophic cognitive map built on triangular neutrosophic values (MS-TrNCM) for violence analysis. Through the use of triangular neutrosophic numbers, the suggested model allows experts to express their choices while considering various extents of truth, indeterminacy, and falsity in the underlying map linkages.
Detection and Extraction of Faces and Text Lower Third Techniques for an Audiovisual Archive System using Machine Learning

As part of the audiovisual archive digitization project, which has become a complex field that requires human and material resources, and its automation and optimization have so far represented a center of interest for researchers and media manufacturers, in particular those linked to the integration of artificial intelligence tools in the industry, an elaborate work for the development of an optical character and face recognition model, to digitize the tasks of audiovisual archivist from the manuscript method in automation, from a TV news video.In this article, an approach to develop an example of lower third in Arabic language and facial detection and recognition for news presenter that provide accurate classification results as well as the presentation of different methods and algorithms for Arabic characters.Many studies have been presented in this area, however a satisfactory classification accuracy is yet to be achieved.The comparative state-of-the-art results adopt the latest approaches to study face recognition or OCR, but this model supports both at the same time.it will present the context of realization, the method proposed to extract the texts in the video, using machine learning, about the specificity of the Arabic language, and finally the reasons that govern the decisions taken in the steps of realization.The best results from this approach in real project at the media station was 90.60%.The dataset collected via presenters images and the character dataset via the Pytesseract library.
Foreground Detection in Dynamic Scenes using Robust Principal Component Analysis in comparison with Gaussian Mixture Model to measure F-score

Aim: This paper describes the poor performance of accuracy and F-Score in the detection of moving objects using a novel Robust Principal Component Analysis (RPCA).Materials and Methods: ClinCalc is a tool to compute sizes and display the results of sample analyses.Cdnet 2014 dataset demonstrates our foreground detection using Robust Principal Component Analysis algorithm.In this study, the Robust Principal Component Analysis is compared with the Gaussian Mixture model.Results: Poor detection of moving objects is improved by using Robust Principal Component Analysis algorithm with mean F-score rate of 83% and accuracy of 87%.Conclusion: Robust Principal Component Analysis subtracts the background and detects the moving objects by measuring the f-score and accuracy of the dataset.
Perancangan Sistem Infomasi Penjualan Berbasis Website CV Jaya Agung Jakarta Barat

Technology today is growing so rapidly, especially in the field of information technology. It is a natural thing for people who live in today's technological era, CV. Jaya Agung is a company engaged in the trading industry, especially the sale of spare parts for four-wheeled vehicles, CV. Jaya Agung is located at Jl. Daan Mogot KM 14 No.14, Cengkareng Barat, West Jakarta 11730. At this time the CV system. Jaya Agung is still done manually, which is still done by recording and there is no sales report per period, and doing every customer spare part sales transaction who comes to the CV store. Jaya Agung. With this research, it is hoped that the creation of a website-based sales media using the Waterfall method, with this system aims to facilitate the sales transaction process of CV. Jaya Agung to make it easier and customers do not need to come to the store. Provide complete information regarding spare parts information.
THE PRACTICE AND POSSIBILITIES OF IMPLEMENTING THE TECHNOLOGY OF A CAREER LIFT AT A UNIVERSITY IN THE CONDITIONS OF DIGITALIZATION

Professional and career orientation are part of the proactive activities of universities aimed at ensuring the development of students’ professional identity and planning for the future. The article reveals the results of the analysis of the main possibilities of implementing the technology of a career elevator at a university. In particular, the work focuses on the practices and prospects of embedding various types of activities within the framework of the designated technology in the LMS (learning management system) of universities. The paper concludes that the integrated integration of career elevator elements into the university’s activities will reduce the impact of factors of low demand for university graduates in the labor market, increase the employment of graduates in the specialty as one of the indicators of the quality of university educational services.
Machine Translation of Texts from Languages with Low Digital Resources: A Systematic Review

This research conducted a systematic review of related works on machine translation of languages ​​with low digital resources. First, we carried out the information search in the databases: ScienceDirect, IEEE Xplore, ACM Digital Library. Eighteen articles were collected following inclusion and exclusion criteria, considering a search period from 2016 to 2022. Subsequently, we analyzed and classified these articles according to the libraries developed and/or used based on machine learning, statistics, or grammar. The results indicate that pre-training and morphological segmentation techniques with finite state machines and machine learning techniques improve the translation of languages ​​with low digital resources. In addition, according to the articles compiled in the specialized databases, in Mexico, unlike other countries that we analyzed, there are few publications on the translation of languages ​​with low digital resources, and we mostly found research papers published in international conferences.
RESEARCH ON THE INTERFACE USABILITY OF HOSPITAL WECHAT PUBLIC PLATFORM IN THE FORM OF INTERNET

This study explores whether the Chinese Hospital WeChat Public Platform interface conforms to the user's operating habits and behavioral needs at the present stage by investigating the interface usability of Hospital WeChat Public Platform.Firstly, in the literature review, this study refers to the four usability principles of ISO 9241-11 (1998) and Nielsen (1994) summarized by Young et al. (2006) and regards these principles as the criteria for the WeChat Public Platform evaluation in hospital samples.Secondly, using the performance measurement method to conduct a quantitative analysis of the data, it is concluded that there are significant differences among the three hospital samples of the three task interfaces.Then, the design suggestions are obtained through four usability principles: (1) The interface's presentation should have primary and secondary levels and be arranged orderly to enable users to operate effectively and quickly.(2) Besides providing an excellent operation system, simplifying interface levels and steps is also one way to improve efficiency.(3) The interface is the most intuitive presentation of information, so its interface presentation should be concise and consistent, and the function level distribution should be reasonable to improve user's degree of satisfaction.(4) On the design of Hospital WeChat Public Platform interface, designers should pay more attention to the users who haven't used WeChat applications and design a standard interface to meet the need of user's learnability.Thus, the interface design should conform to the four principles of usability, and the user's demand is the key to the design.