Reviewerly/exHarmony huggingface dataset:
Research on Performance Optimization Scheme for Web Front-End and Its Practice

This paper focuses on the performance optimization of web front-end, proposing an optimization scheme of the system from the front end. It takes an information management website as an example, proposes a set of systematic, practical and operable website performance optimization solution based on web services. The solution includes loading external CDN resources, optimising component packaging process, lazy loading in route, Qiniu cloud acceleration, file compression, etc. It can improve the usability and performance of web application system, so as to improve the satisfaction of users through the optimization. At the end of the project, the comparative analysis results of website access performance before and after optimization are listed. The result shows that the size of top 5 resources reduced form 20 Mb to 79.7 kb. The image size can be reduce 94.3%, and the loading time can be reduced greatly, which decrease from the initial 25.27 s to the final 0.3 s.
MODELING AND AUTOMATING AN ASSISTANT CONSULTANT FOR THE “MAGNIT” CHAIN OF STORES

The article considers modelling a modern automatic consultant-assistant built on up-to-date methods and approaches used in the chatbot development. In the course of the presented research, modern approaches, programming languages, messengers, algorithms for analyzing natural languages are examined. A software module is written and tested to automate users’ consultations on the most frequently asked questions. To fill in and test the chatbot, the data available in the public domain are used. The proposed chatbot showed good results in working with users and was presented to the representatives of the “Magnit” network for analysis and further development.
Multi Banking System with Three Level Security

Online transactions are the need of the current generation. Users need everything on a click of a button. Transacting websites needs to be more user friendly but to capture the feeling, security should not be compromised. In terms of providing security specially in banking sector, every bank is trying to do their best. In last decades it has been observed that password is used as mandatory factor of authentication along with other factors. Individual having multiple accounts needs to have different password and also needs to memorise all of them correctly. With these requirements in mind, we have proposed Multi-Banking System(MBS) with three level security in which the customer needs to remember only one password. MBS provides an interface for a customer to access multiple accounts with single login without compromising on the level of security individual bank provides.
The Main Principle is Scientific Integrity. To the Birth Anniversary of Margarita Yakovlevna Dvorkina

The article is devoted to the anniversary of the prominent Russian scholar in library science Margarita Yakovlevna Dvorkina, born on April 1, 1936. The author highlights her main positive qualities as a person and scientist. Her exceptional scientific integrity is revealed by the example of M.Y. Dvorkinaʼs clarification over time of the attitude to revolutionary-democratic libraries (the theme of her PhD thesis) and especially to the status of the concept of “library service”. She successfully defended her doctoral dissertation on this topic in 1994. Initially, she confined to the named scope of the concept, then she deemed more correct to consider “information and library services”, and now she inclines to the term “library and information services”. The author assumes that the next round of the scientific spiral should be return on a new basis to the term and to the concept “library service” behind it. The article presents arguments to defend this position.
Constructing Reverse Learning Mode in Combat Command Teaching

Combat Command Teaching (CCT) is inseparable from the study of combat opponents. The innovation of Combat Command Teaching lies in the establishment of the concept of Reverse Learning of talents, so as to achieve the verification of Combat Effectiveness. By constructing a Reverse Learning Mode (RLM), trainees are able to deal with problems calmly and clearly in crisis situations. RLM is an effective means of Combat Command Teaching, which the core is to find more ways to defeat oneself. This paper constructs the Reverse Learning Mode of Combat Command Teaching from the aspects of breaking through and constructing concepts, innovating teaching methods and expanding teaching functions.
The intensity of prayer room’s natural lighting

Abstract A mosque as a place of worship for Muslims, not only functions as a place of prayer but also functions for other worship activities such as reading the Quran, religious lectures, and celebrating Islamic holidays. Each activity needs to be supported by good lighting so that each activity can run optimally. This study will discuss the aspect of light as supporting the function of the mosque, with a focus on the natural lighting of the mosque prayer room. The case study was conducted at the Taqwa Nandjar Mosque located in Tangerang Selatan, Banten, Indonesia. This study uses a quantitative method, where the data collected is the lighting intensity (lux) in the prayer room area of the Taqwa Nandjar Mosque. The result is the natural lighting at Taqwa Nandjar Mosque has not met the minimum required lighting standard for the mosque and artificial lighting is needed to increase the light intensity in the Taqwa Nandjar mosque room to meet the minimum lighting standards.
Ethno-artistic education in the Republic of Sakha (Yakutia): history, modernity and development trends

On the basis of historical and comparative analysis, the main stages of development of ethno-artistic education in the Republic of Sakha (Yakutia) are presented. The following conditional stages are highlighted: the stage of studying and forming initial ideas about ethno-artistic education; the stage of formation and development of ethno-artistic education; the stage of methodological understanding of ethno-artistic education, modernity and development trends. The role of ethno-artistic education in the Republic of Sakha (Yakutia) is shown. The article analyzes the understanding of the essence of the concept of «ethnic art education in the context of national culture» in the dynamics of its refinement by scientific researchers.
Petrological and geochemical study of trace and rare earth elements in the Miardan Gold mineralization, Bostanabad, East Azarbaidjan Province

Petrological and geochemical study of trace and rare earth elements in the Miardan Gold mineralization, Bostanabad, East Azarbaidjan Province
Differences in Video Media and Flash Card Effectiveness on Knowledge and Attitudes About Body Shaming in Adolescents

Changes in reproductive health can lead to psychological disorders such as body shaming behavior due to changes in the body that occur. Body shaming has been happening lately, such as cases of bullying in both teenagers and cyberspace. The importance of education regarding body shaming as a preventive effort so that the health of each individual is prosperous because physical and mental health are interrelated and based on the results of preliminary studies it can be seen that there are students and students who do not know about body shaming. One of the efforts to prevent body shaming is the provision of education using the media because media is the most influential thing for education today and can influence the development of individual attitudes. This study aims to determine the difference in the effectiveness of the use of video media and flash cards on the knowledge and attitudes of adolescents about body shaming. The research method used is quantitative and uses a Quasi Experiment research design. There are 342 students of SMP Islam Sultan Agung 4 as the population in this study. To get a sample using purposive sampling technique and get 44 respondents for the sample used. From the results of research that has been carried out using Fisher's Test analysis, the significance value of p-value = 1,000 (&lt;0.05). From the results of the research that has been done, it can be concluded that there is no difference between the two media, namely video and flash cards regarding attitudes and knowledge.
A Collaboration Multi-Domain Sentiment Classification on Specific Domain and Global Features

Sentiment classification has been attracting increasing attention with the growth of textual data created on the Internet. Text review data covers a wide range of field, and sentiment classification has been widely known as a highly domain-dependent problem. Unfortunately, the existing methods have achieved good results in the domain with a large number of labeled training data. Some researchers apply classifiers learned from source domain to target domain through transfer learning, which still requires the target domain to have enough unlabeled data to learn the similarity between the domains. In this paper, we propose a collaborative domain-specific and global multi-domain sentiment classification approaches with logistic regression. We train a domain-specific sentiment classifier for each source domain, reconstruct the source domain datasets, and train the global sentiment classifiers. Domain-specific sentiment classifier captures domain-specific sentiment features, and global sentiment classifier captures general sentiment knowledge. Finally, taking the output of the first layer as the input of the second layer, a two-level cross-domain sentiment classification model is constructed by logistic regression. Experimental results on benchmark datasets show that the proposed approach can effectively improve the performance of multi-domain sentiment classification and significantly outperform baseline methods.
Tensor Inhomogeneous Average Sparse Matrix Based Texture Extraction

Texture extraction is considered as a basic but a very challenging work in a lot of computer vision fields. Yet texture is not precisely defined, which is difficult to be separated from edges. In this paper, a novel texture extraction algorithm was proposed. Nonlinear structure tensor was introduced to distinguish textures out from edges. And an 8-neighborhood tensor inhomogeneous average sparse matrix was presented to smooth the images. The smoothness weights are determined by the local anisotropy. By applying this inhomogeneous average sparse matrix to the input images, the textures are smoothed to the detail layer while the edges are remained in the original images. The effectiveness of our method was demonstrated by the comparison results with other existing generally acknowledged texture extraction algorithms. And the sparse matrix framework reduces the computational cost than the convolution frameworks.
Research on the Development of Key Technologies of Energy-Saving Campus Information-Based Energy-Saving Supervision Platform Based on Building Energy Consumption Characteristics

Abstract At present, building an energy-saving campus supervision platform is one of the best energy-saving methods for colleges and universities. In order to improve the effect of supervision and energy saving better, we must continuously analyze and summarize the test data. This paper analyzes the needs of energy-saving campuses.
Research on Theoretical Model and Realization Path of 5G Technology Promoting Education Equity

Educational fairness is one of the basic principles in the process of China's educational modernization. 5G is an important representative of the new generation information technology system, which can promote the suppression of educational unfairness. In this paper, the unfair education problems in hardware, software, teachers and students are refined, and five core components of the fifth generation communication technologies, such as ultra-dense heterogeneous networks and self-organized networks, are integrated into the educational scene. Through theoretical model design and practical exploration, the solution of 5G technology to promote education fairness is sought.
On codes in the projective linear group PGL(2,q)

In this paper, we resolve a conjecture of Green and Liebeck (2019) [3] on codes in PGL(2,q). To be specific, we show that: if D is a dihedral subgroup of order 2(q+1) in G=PGL(2,q), and A={g∈G:gq+1=1,g2≠1}, then λG=A⋅D, where λ=q or q−1 according as q is even or odd.
Leveraging Technology

Written by Jon Reidel, a colleague of Dalton’s at CFES (College for Every Student), Chapter 7 discusses how technology can be leveraged to improve opportunities in rural communities. The chapter begins with a case study that shows how technology difficulties were exasperated during the COVID-19 pandemic. This digital divide highlights the gap between those who have access to information through technology and those who do not. As online learning provides flexibility and access to advanced courses, rural students are often left behind. The chapter provides examples of schools that are using innovative strategies to lead online instruction. Tips that parents can use to create an optimal virtual learning home environment are provided. These include creating a learning space and sticking to a schedule. This chapter provides tips that teachers can use to build relationships and engage students before ending with ways technology can be leveraged in a way that allows rural students to work for large companies from their home communities.
Reasoning in social settings

New perspectives keep emerging in the logical study of social interactions, witnessed by yet another collection of research papers. Once our focus of reasoning shifts from an individual to a social setting, interesting issues naturally arise. The central question is the following: how is an individual’s attitude related to that of others and that of a group, especially when we take into account the informative communication between agents, as well as the structures of a group? This has been studied to various extent in social epistemology, social choice theory, social norms theory, etc. In this context, our main concern is logic: how can a logical approach shed light on our reasoning about these scenarios? We are not giving a comprehensive overview but just to mention some research that is mostly relevant. Communication between agents, public or private, has been extensively studied in dynamic epistemic logic (e.g. [1, 9...
The Application of R Software as a Statistical Tool for Mechanical Data Clustering

The purpose of this research is to implement R software in developing a correlation between wavelet coefficient and fatigue life utilizing Fuzzy C-Means. The fatigue-based strain data were simulated at the range between 200 to 2000 µε through the application of constant and variable amplitudes with the mean values of negative, zero, and positive. The wavelet transforms involved were the 4th, 12th, 20th, and 30th orders of the continuous and discrete Daubechies wavelets as well as the Morlet wavelet. Meanwhile, the fatigue life was determined by Coffin-Manson, Morrow, and Smith-Watson-Topper models. R software with fclust package estimated 3 clusters as the optimum numbers with 1.5 as the fuzzifier value. Hereafter, the result showed that there was a negative correlation between the wavelet coefficient and fatigue life. The strongest correlation was between the 20th order of the discrete Daubechies wavelet and the Coffin-Manson model, i.e. −0.623 with the determination coefficient of 0.388. According to the results, it can be concluded that the software can be applied for clustering mechanical data. Therefore, it is recommended for mechanical engineering applications, involving complex and bigger data.
DEVELOPMENT OF COGNITIVE ABILITIES IN CHILDREN WITH MENTAL RETARDATION THROUGH THE TECHNOLOGY OF STEP-BY-STEP FORMATION OF MENTAL ACTIONS IN THE PROCESS OF LEARNING THE ELEMENTS OF RESEARCH ACTIVITIES

Рассматривается возможность применения технологии поэтапного формирования умственных действий в процессе обучения детей элементам исследовательской деятельности как средства развития познавательных способностей младших школьников с задержкой психического развития. Материалом исследования послужил теоретический анализ научно-методической литературы по теме исследования: теория поэтапного формирования умственных действий П. Я. Гальперина; положения о развитии познавательных способностей младших школьников как результата развивающего обучения В. В. Давыдова, А. В. Запорожца, Л. В. Занкова, А. Н. Леонтьева; подходы к развитию познавательных способностей детей с задержкой психического развития Н. В. Бабкиной, Л. Н. Блиновой, А. Д. Вильшанской, Г. Н. Пениным, У. В. Ульенковой, Л. М. Шипицыной. Теоретический анализ научно-методической литературы позволил предположить, что технология поэтапного формирования умственных действий может эффективно применяться для обучения младших школьников с ЗПР элементам исследовательской деятельности на разном уровне самостоятельности и сложности и тем самым развивать у обучающихся познавательные способности. The purpose of this article is to consider the possibility of using the technology of step-bystep formation of mental actions in the process of teaching children the elements of research activity, as a means of developing the cognitive abilities of younger schoolchildren with mental retardation. The material of the study was a theoretical analysis of scientific and methodological literature on the topic of research: the theory of step-by-step formation of mental actions by P. Ya. Galperin; the provisions on the development of cognitive abilities of younger schoolchildren as a result of developing training by V. V. Davydov, A. V. Zaporozhets, L. V. Zankov, A. N. Leontiev; approaches to the development of cognitive abilities of children with mental retardation by N. V. Babkina, L. N. Blinova, A. D. Vilshanskaya, G. N. Penin, U. V. Ulenkova, L. M. Shipitsina. The theoretical analysis of the scientific and methodological literature suggests that the technology of step-by-step formation of mental actions can be effectively used to teach younger students with mental retardation the elements of research activity at different levels of independence and complexity, and thereby develop students’ cognitive abilities. The relevance of addressing the topic of the development of cognitive abilities in children with mental retardation (hereinafter referred to as PDA) is due to the fact that this category of children is one of the numerous groups represented in general education organizations that implement inclusive educational practice, since PDA can be observed in most categories of children with disabilities and is secondary in nature.
Research on the New Era Artificial Intelligence Promoting the Reform of College English Ecological Teaching

Artificial intelligence is the result of the in-depth development of a new round of technology and industrial revolution, and is of great significance to promoting the overall progress of society. Artificial intelligence has also brought new development opportunities and challenges to college English teaching. Based on the changes in the college English ecological teaching model under the background of artificial intelligence, this paper analyzes what is ecological linguistics and what is college English ecological teaching. On this basis, it analyzes the current college English teaching ecology in my country, and proposes artificial Suggestions for smart promotion of college English ecological teaching reform.
Perceptual Image Hashing Using Surffor Feature Extraction and Ensemble Classifier

Image hash regimes have been widely used for authenticating content, recovery of images and digital forensics. In this article we propose a new algorithm for image haunting (SSL) with the most stable key points and regional features, strong against various manipulation of content conservation, including multiple combinatorial manipulations. In order to extract most stable keypoint, the proposed algorithm combines the Speed Up Robust Features (SURF) with Saliency detection. The keyboards and characteristics of the local area are then combined in a hash vector. There is also a sperate secret key that is randomly given for the hash vector to prevent an attacker from shaping the image and the new hash value. The proposed hacking algorithm shows that similar or initial images, which have been individually manipulated, combined and even multiple manipulated contents, can be visently identified by experimental result. The probability of collision between hacks of various images is almost nil. Furthermore, the key-dependent security assessment shows the proposed regime safe to allow an attacker without knowing the secret key not to forge or estimate the right havoc value.
Acquisitions of Teaching Staff from Transferring to E-learning During Coronavirus Pandemic: An Outcome Evaluation Study.

This study is a portrayal of e-learning modes that had been practiced by the population of the DCSCE (84) faculties at Princess Nourah University (PNU) The study seeks to investigate the faculty's acquisitions from being through this experience during covid-19 pandemic Data was collected by an online survey that encompasses five themes, and analyzed by using SPSS The study employs evaluation of outcomes approach The results reveals faculties' enhancement of e-learning management system and developing e- tests In teaching context, the acquisitions include choosing appropriate teaching strategies and the awareness of educational technologies in enriching online teaching and learning In the IT support theme the top acquisition reported to be the use of innovative applications computer programs Moreover, faculty cooperation and exchange of the best-practices constitute the top results of social support theme Additionally, the results reveals insignificant correlation between the faculties' acquisitions and their previous experience in e-learning, indicating that these acquisitions are totally outcomes of faculties' experience during the coronavirus pandemic The study recommends the inclusion of these acquisitions in faculties' training programs to overcome the pandemic persisting of academic disturbance in teaching and learning It also recommends the investment in these acquisitions to enhance PNU's efforts in developing e- learning as a future choice Additionally, the study recommends further research in e- learning post covid-19 to improve the outcomes and minimize the cost [ABSTRACT FROM AUTHOR] Copyright of Journal of Education - Sohag University is the property of Journal of Education - Sohag University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )
To Study about the Security Architecture for Cloud Computing

Cloud computing transforms the way IT is accessed and managed, promisingly improved costs, increased creativity, quicker time-to-market and the potential to scale on demand applications. Gartner said that whilst the excitement increased during 2008 and proceeded to grow exponentially, it is evident that the cloud computing paradigm has undergone a significant change and that the advantages may be significant. Nevertheless, since both conceptually and in fact the shape of cloud infrastructure is evolving rapidly, legal/contractual, fiscal, quality of operation, interoperability, protection and privacy concerns remain major challenges. This chapter describes different cloud infrastructure services and implementation frameworks and identifies key problems. There are three main problems that we address in particular: compliance concerns, protection issues and cloud privacy issues. A brief overview of the future trends of cloud implementation is also recommended to alleviate these problems.