Reviewerly/exHarmony huggingface dataset:
Analysis of training success within the framework of the problems of pedagogical psychology

Today, for the majority of students at universities, study takes place in a distance format. The reason for the transition to a new format of education was the outbreak of coronavirus infection in 2020. The distance learning format at the initial stage was associated with a lot of difficulties. This is an incomplete provision of educational institutions with modern technical means, the dominance of stereotypes of the traditional format of education, as well as a complete or partial lack of experience in working online. However, these problems were gradually resolved and the learning process improved. The purpose of this article is an at- tempt to conduct a psychological analysis of empirical data on the success of student learning in the online format, namely: to consider the dynamics of changes in the indicators of learning success, as well as to compare the effectiveness of the educational process in distance and traditional formats. The value of the article lies in the collected information, on the basis of which it is possible to trace the change in the situation of student success, the positive and negative aspects of each of the learning formats, taking into account the data considered, build a more effective blended learning format. These articles were obtained on the basis of an analysis of literary sources and the results of a questionnaire sur- vey of bachelors, undergraduates and professors of technical specialties. The results of the study showed the current situation of education in a higher educational institution - Satbayev University - after a year of distance learning. Key words: pedagogical psychology, learning success, traditional learning, distance learning, tech- nical student, tertiary education, potential, COVID-19.
Challenges and Opportunities for Data Sharing in China

This report summarises the findings of a survey with more than 2,000 researchers working in China, looking at the challenges and opportunities for data sharing in China.There is also an infographic available which highlights the key findings. To view it please visit https://doi.org/10.6084/m9.figshare.7782761 .
Students’ Perceptions and Attitudes about the Use of YouTube in Learning French Language

The present study aims to study the University of Sharjah students’ perceptions and attitudes about the use of YouTube in learning French language. It also attempts to shed light on the UOS students’ preferred types of YouTube videos and their usefulness in learning French language. A purposive questionnaire was designed and sent out to 69 undergraduate students from different disciplines who were enrolled in the French language course. The findings of this study showed that there is a significant trend in the overall use of YouTube for French language learning by the UOS students from different disciplines, constituting 64% of the respondents. The study also demonstrated that videos available on YouTube can be useful for language learning purposes. 49% of the respondents reported improvement in their French language skills (Grammar, Vocabulary, and Pronunciation) and 57% of the respondents believed that YouTube videos enable them to complete study tasks more quickly. Videos of Automobiles, pets &amp; animals, sports and news were among the most preferred categories of videos watched by the respondents.
Efektivitas Pembelajaran Daring terhadap Prestasi Belajar di SMP Tamansiswa Pematangsiantar

This study aims to determine the effectiveness of online learning at SMP Tamansiswa Pematangsiantar. The implementation of the online model at Tamansiswa Junior High School has online media learning and has the flexibility of time to study. Online learning develops communication between teachers and students in the learning process. Students are also able to manage their time independently and socialize more with their families. Constraints faced in the online learning process include high costs, network, weather, power outages, and internet quotas. In addition, students' learning motivation will decrease if teachers and parents do not carry out intensive learning control. This research is a qualitative field using case study research. Sources of data were taken from the Principal, Deputy Principal, Teachers, Students, and Parents. Data collection techniques include observation, interviews, and documenting.
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds.

Interactive computing notebooks, such as Jupyter notebooks, have become a popular tool for developing and improving data-driven models. Such notebooks tend to be executed either in the user’s own machine or in a cloud environment, having drawbacks and benefits in both approaches. This paper presents a solution developed as a Jupyter extension that automatically selects which cells, as well as in which scenarios, such cells should be migrated to a more suitable platform for execution. We describe how we reduce the execution state of the notebook to decrease migration time and we explore the knowledge of user interactivity patterns with the notebook to determine which blocks of cells should be migrated. Using notebooks from Earth science (remote sensing), image recognition, and hand written digit identification (machine learning), our experiments show notebook state reductions of up to 55× and migration decisions leading to performance gains of up to 3.25× when the user interactivity with the notebook is taken into consideration.
МЕТОДЫ ИНТЕРПРЕТАЦИИ ЧЕРНЫХ ЯЩИКОВ МАШИННОГО ОБУЧЕНИЯ И ИХ ПРИМЕНЕНИЕ ДЛЯ СОЗДАНИЯ СИСТЕМ ПОДДЕРЖКИ ПРИНЯТИЯ РЕШЕНИЙ

Artificial intelligence (AI) has made great strides recently with the rapid development of machine learning technologies. Despite this, there are potential risks associated with a black-box approach to learning. Unlike some classical machine learning methods, especially decision trees, in which model results can usually be explained, nonlinear classification and especially deep learning models lack transparency, making it difficult to understand how a model made a particular decision. Recent models for explaining machine learning results partially solve this problem. The goal of the research community is to create explicable machine learning models (EMLs). An important outcome of this effort is the possibility of applying EML to decision support systems. This paper describes some state-of-the-art models for explaining the results of machine learning models and describes an approach for applying EML to multicriteria decision support systems. The essence of the approach described is to build a machine learning model based on data about control objects and then use the explanations to make recommendations for influencing the objects to improve the target. We present a scheme of such a system and examples of the results of its application in the management tasks of secondary education and health care organizations.
Penerapan Model Pembelajaran Kooperative Tipe Think Talk Write untuk Meningkatkan Hasil Belajar Menulis Karangan

The problem faced in this study is the low learning of grade VI students at SD Negeri 007 Singkep, Singkep District, Lingga Regency in Indonesian Language Subjects for writing essays. This study aims to describe the application of the TTW type cooperative learning model (Think, Talk, Write) in improving student learning outcomes in Indonesian Language Subjects for writing essays in class VI SD Negeri 007 Singkep. This research uses classroom action research (CAR). The research was carried out on grade VI students of SD Negeri 007 Singkep in the second semester of the 2019/2020 academic year. Research using the TTW type cooperative learning model (Think, Talk, Write) can drastically improve student learning outcomes from cycle 1 as many as 4 students (80%), at the end of cycle II to 5 people (100%) and the class average score in the pre-cycle. 62.00 to 70.00 in the first cycle continued to increase in the second cycle to 80.00. Classically, in the second cycle, the completeness of class learning has reached 100%. The study concluded that the use of the TTW (Think, Talk, Write) type of cooperative learning model can improve student learning outcomes in Indonesian language subjects for writing essays.
The Construction and Optimization of Basketball Training Mode

With the continuous rise of our country's comprehensive national strength, the living standard and lifestyle of the people have changed greatly. The main problem that bothers the people is not to eat and satiety, and the demands of social groups for spiritual pursuit and physical health are higher and higher. It is the awakening of the health consciousness of the masses that people pay more and more attention to sports health sports. In China, with the development of CBA Basketball Games, basketball as a kind of sports, has been accepted and recognized by the masses. Today, basketball has been quite popular in China. Because of its strong compatibility and wide audience, basketball has become a popular one in many sports in China.
노후준비교육 참여 중년여성의 성공적 노화에 대한 인식 변화

The purpose of this study is to analyze the change in perception of successful aging of middle-aged women who participated in the aging preparation education program. Fourteen middle-aged women using the Lifelong Learning Center were selected as subjects for the study, and a 12-week aging preparation education program was conducted. In-depth interviews were conducted with middle-aged women who participated in the aging preparation education program. As a result of the study, the perception of successful aging that appears in the process of applying the aging preparation education program has changed. Changes in perception were found in the factors of successful aging: self-efficacy, aging acceptance, active social activity, and family orientation. Participation in the aging preparation education program helped to look back on past life and restore confidence. Strongly recognizes the importance of social activities in order to live actively through various encounters. They accept aging naturally, think it as a part of life, and adapt. They were asked to be interested in husband and children, but as they showed interest in family first, became a family-oriented. The following conclusions were drawn based on the research results and discussions investigated and analyzed in this study. Through participation in the aging preparation education program, positive changes were found in the perception of successful aging related to self-efficacy, aging acceptance, active social activities, and family orientation. Therefore, the aging preparation education program can be seen as an effective program for the change of successful aging awareness of middle-aged women.
Analisa Implementasi Load Balancing Round Robin dan Least Connection pada Web Server (Studi Kasus PT UCC)

AbstractThe web server is used at PT UCC to manage and store various information so that its presence must always be there when accessed by its workers both in low and high traffic conditions. Load balancing can be used to overcome slow connections and there is more than 1 server. In this study the author aims to compare the load balancing algorithm round robin and least connection using the nginx web server. The research is implementing the nginx web server because it is known for its opensource nature and has a load balancer function. Due to resource limitations, the server is run on a virtual machine that looks like a physical server. Server testing using httperf tools using throughput and response time measurement parameters. Testing by giving a load via httperf with a rate value of 30, 60 and 120. The results of the load balancing test, namely the least connection algorithm has a better throughput value and response time value than round robin. At a given low connection rate, a single server still has good performance. When providing more connection rates, load balancing systems have better capabilities than single server. Keywords: Load balancing, Roundrobin, Least connection, Nginx, Httperf
A 7-Level Hybrid Security Model for Data Storage in the Cloud

Nowadays, technologies are emerging very rapidly and many organizations are trying to attract their clients by providing attractive services in their applications. Data is generating in every friction of seconds and storing this huge amount of data is a big challenge to any organization. Currently, there are various electronic applications like e-commerce, e-mailing, e-transactions etc. All these require online data processing that may contain private information which needs to be secure from any theft or hack like personal information, financial transactions, healthcare information etc. As we know, the concept of cloud computing has been introduced in computer science. Every company or client is using internet applications and storing their data on cloud servers. Cloud data storage service providers placed data remotely and cloud users do not have control over their data. So, the security of cloud data is one of the major issues and researchers have developed many tools, methods and algorithms to secure cloud data so that trust must be maintained between client and services provider. Keeping the security requirement of cloud data storage, we have introduced A 7-Level Hybrid Security Model for Data Storage in the Cloud and accessed by cloud users. Provide highly secured authenticity, confidentiality, integrity, and availability security triad for data storage on the cloud. We have used information separate layering concepts so that the placing and identification of data become secure. After the in-depth analysis of various cryptographic algorithms in our previous paper [19] we have used the hybrid of three algorithms in our proposed model. It will provide work separation and reduction of indirect data communication among layers. It will also provide complete end-to-end security of data from a client connection request to the cloud server response. At this stage the model is conceptual, implementation of this model will be our future work.
Research on Urban Barrier-Free Public Service System Architecture Based on the Concept of Empowerment

From the perspective of empowerment, we propose solutions to the problems in the design of barrier-free services for the disabled.Methods Bring the concept of empowerment into the barrier-free business, combine design and sociology, summarize the pain points and blind spots in the design of barrier-free services, construct a model of barrier-free service design, and propose service design strategies from the perspective of empowerment.From establishing a healing service centered on social organizations, building a barrier-free integrated service platform to provide personalized services, and improving the barrier-free design of indoor public spaces, a service design model is jointly constructed.By analyzing the defects of the current barrier-free service design system, integrating empowerment concepts to build a barrier-free service design system, effectively tapping the potential of disabled groups, using the Internet and big data to promote the diversification of service directions, and the intelligent development of service platforms.Cooperate with all members of society to help disabled groups and create a more harmonious and friendly social environment.
Analysing the Impact Strength of Polymer Composite Materials (PCM) Fiber Reinforced in the Fiberboat Application

The mechanical qualities of fiberglass-reinforced Polymer Composite Materials (PCM) are critical for fibre boat construction. Mechanical testing is very important for fiber boat. The Impact test was used to determine the mechanical properties of this study. Each test was carried out on different amounts of fibreglass lamination CSM 300, CSM 450 and WR 600, as well as different weight percentages &nbsp;of 99.5% -0.5%, 99% -1%, 98.5% -1 , 5%, 98% -2% and 97.5% -2.5%. The results reveal that the more laminate used, the higher the impact strength (413,712 MPa), and the higher the percentage hardener used, the higher the impact strength 2.0 wt.- percent (416,487 MPa).
Impact of Corporate Social Responsibility (CSR) on Education in India: An Analysis of Post Companies Act, 2013 Era

The chapter briefly traces the evolution of corporate social responsibility (hereinafter referred to as CSR) in India finally culminating in the form of Section 135 of the Companies Act, 2013. Among the various eligible activities, promotion of education, enhancement of the vocational skills, improvement of road safety through mass education, etc. occupy a significant place in Schedule VII of the Companies Act, 2013 as a part of the CSR mandate. Hence, in this chapter, an attempt has been made to analyze the impact of CSR on Education in India for 4 years after implementation of the Companies Act, 2013. The chapter focuses on top three companies in the information technology sector and in the banking sector based on the market capitalization criteria as on August 27th, 2018 as per BSE SENSEX. The chapter tries to classify the CSR activities into interventions addressing the supply side barriers and demand side barriers of education and evaluate the role of each sector in the same. Moreover, the chapter also attempts to conduct an analysis to find whether there exists any sector-oriented influence on different activities of CSR in education in India through statistical test of ANOVA.
PENDEKATAN METODOLOGI FEATURE DRIVEN DEVELOPMENT PADA APLIKASI E-COMMERCE (STUDI KASUS CV. MEGAJAYA)

e-Commerce is a trading activity carried out through intermediary web pages on the internet. One of the e-Commerce applications is Business to Business (B2B). Called B2B because of transactions between companies. One company that uses B2B principles is CV Mega Jaya with business processes with simple scale and complexity. In marketing various kinds of fertilizers, CV Mega Jaya only uses brochures that are passed on from certain people to others. Another thing is seen from the ordering side, CV Mega Jaya only uses communication tools or meets in person to order fertilizer. Therefore, e-commerce applications are needed to deal with these problems. In building an E-Commerce application, it takes a method that supports smooth application development called SDLC (System Development Life Cycle). One type of SDLC used is Agile. Agile Methods can accept additional requirements even though they are in the process of being built or completed without going back to the initial stage. Agile used is Feature Driven Development (FDD) which prioritizes features and design and scheduling is directed by features. FDD is suitable for applications that have a B2B case. The result of this research is that the application can be completed on time. This app underwent 1 functional change in features after stage 1. And experienced 1 additional feature (10% of coverage, time and cost). It would be better if FDD is used by more than 1 experienced person (in a team).Keywords: e-Commerce, Business to Business (B2B), CV Mega Jaya, System Development Life Cycle (SDLC), Feature Driven Development (FDD))
Developing a Conceptual Model for the Intention to Adopt CC Saas

Cloud Computing (CC) is an evolving information technology paradigm providing on-demand IT resources on a pay-as-you-go basis. A cloud computing service model called Software as a Service (SaaS) emerged to offers IT services, effectively utilise computing and power consumption while achieving performance, decreasing cost, and increasing revenue. However, the adoption rates of CC-SaaS among the organisations are inadequate, and its diffusion is not fully explored due to issues related to data security, privacy concerns and trust which affects the adoption of CC-SaaS. There is a lack of empirical studies investigating factors affecting the adoption of CC-SaaS from the organisational perspectives specifically in Iraq. Therefore, the primary aim of this study is to identify the most influencing factors for the intention to adopt CC-SaaS in Iraqi organisations. In order to meet the primary aim, such factors are reviewed and selected from the literature on a high frequency of occurrence and developed the proposed model. The result of the factors is validated by expert and the values of assessment are statistically analysed using SPSS for t-test analysis. The proposed model can give a guide for the decision makers to plan the successful adoption of CC-SaaS in the organisation.
The hydrogeology of the Rocky Hill Region, Northern Territory

This publication is copyright. Other than for the purposes of and subject to the conditions prescribed under the Copyright Act RN 1968, no part of it may in any form or by any means (electronic, mechanical, microcopying, photocopying, recording or otherwise) be reproduced, stored in a retrieval system or transmitted without prior written permission. Enquiries should be addressed to the National Centre for Groundwater Research and Training, at Flinders University.
Influence of Motivation, Emotional Intelligence and Social Economic Background on Student Learning Achievements

Learning achievement is evidence of success that has been achieved by someone. Thus, learning achievement is the maximum result achieved by someone after carrying out business learning. At school children try to learn as best they can to get good achievements as well. Assume that learning achievement is influenced by learning motivation, emotional intelligence and socioeconomic background. The results of this study differ from the results of previous studies. The study was conducted on elementary school children, junior high schools, and high schools. The data analysis technique used in this study is multiple linear regression analysis using the statistical program package for social science (SPSS) for Windows version 26 with 200 respondents.
When Distortion Meets Perceptual Quality: A Multi-task Learning Pipeline

Most of the existing studies about image quality assessment (IQA) focus on predicting image quality score without adequately considering image distortion clues, which is very significant in IQA tasks. To improve the performance of current IQA algorithms, we propose a novel multi-task learning-based deep convolutional neural network for predicting image quality score and recognizing distortion type simultaneously. Furthermore, to explore the significance of utilizing multiple layers of image features, we introduce a multi-layer feature fusion strategy to exploit the effect of image features fully. By utilizing a shared network to learn the commonalities and differences between two tasks, we can achieve state-of-the-art performance on IQA tasks and a superior result on distortion classification. The introduced framework is trained on three different public IQA datasets LIVE, TID2013 and CSIQ, to verify the effectiveness of the designed approach. Compared with current SOTA hand-crafted-based and deep learning-based approaches, our pipeline achieves a great improvement on both aforementioned tasks by a noteworthy margin.
안전사고 예측모형 개발 방안에 관한 연구(군 교통사고 사례를 중심으로)

Purpose: This study proposes a method for developing a model that predicts the probability of traffic accidents in advance to prevent the most frequent traffic accidents in the military. Method: For this purpose, CRISP-DM (Cross Industry Standard Process for Data Mining) was applied in this study. The CRISP-DM process consists of 6 stages, and each stage is not unidirectional like the Waterfall Model, but improves the level of completeness through feedback between stages. Results: As a result of modeling the same data set as the previously constructed accident investigation data for the entire group, when the classification criterion was 0.5, Significant results were derived from the accuracy, specificity, sensitivity, and AUC of the model for predicting traffic accidents. Conclusion: In the process of designing the prediction model, it was confirmed that it was difficult to obtain a meaningful prediction value due to the lack of data. The methodology for designing a predictive model using the data set was proposed by reorganizing and expanding a data set capable of rational inference to solve the data shortage.