Reviewerly/exHarmony huggingface dataset:
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior

Choosing a proper set of kernel functions is an important problem in learning Gaussian Process (GP) models since each kernel structure has different model complexity and data fitness. Recently, automatic kernel composition methods provide not only accurate prediction but also attractive interpretability through search-based methods. However, existing methods suffer from slow kernel composition learning. To tackle large-scaled data, we propose a new sparse approximate posterior for GPs, MultiSVGP, constructed from groups of inducing points associated with individual additive kernels in compositional kernels. We demonstrate that this approximation provides a better fit to learn compositional kernels given empirical observations. We also provide theoretically justification on error bound when compared to the traditional sparse GP. In contrast to the search-based approach, we present a novel probabilistic algorithm to learn a kernel composition by handling the sparsity in the kernel selection with Horseshoe prior. We demonstrate that our model can capture characteristics of time series with significant reductions in computational time and have competitive regression performance on real-world data sets.
원격과학수업의 활용도 및 문제점, 학습자 행동분석

The purpose of this study is to investigate the usages and problems of distance science learning and learner behavior analysis. This study established an Sixteen-weeks period of experimental treatment from March to June 2020, and the students who participated in the study formed a research group of 128 students in 2nd grade of their advanced classes who are attending the second semester of B university of education and taking courses in 'teaching research 1'. B university of education is singleness class that doesn't have compare group, so this study is constituted only study group. The results of the study were as follows. First, The students who took science learning remotely liked using the university's LMS system. Second, it was not efficient for the faculty member's scientific data presentation to operate smoothly in the online system. Third, it is necessary to set various educational platforms as a standardized platform. Looking at the pros and cons of various platforms may vary depending on the suitability of education, but if the LMS system, which is a professional teaching support method, is upgraded to meet the needs of learners, the satisfaction of higher instructors and learners will be higher.
A comparative study of robust image watermarking using DCT transform with the windowing technique

In this paper, a robust scheme which is efficient, yet much simpler in comparison to other watermarking authentication, has been proposed. This paper presents a watermarking technique in the Discrete Cosine Transform (DCT) domain, using the basic frequency domain property of images and window filters. In modern data communication networks, the images sent from the sender end may not be the same at the receiver end due to noisy channels, errors, and other factors. Noise can degrade the images at the time of capture or transmission. The proposed algorithm makes use of window filters to remove the noises which are usually encountered in image processing. The experimental result shows that the proposed technique is highly robust and simple enough for real-time implementation. With a little modification in the algorithm, further improvement in fidelity parameters such as mean squared error, peak signal-to-noise ratio, and correlation factor can be achieved for the extracted watermark.
Thermal imaging of sparse permeable fractures embedded in intact granite

&amp;lt;p&amp;gt;Subsurface processes in rocks are often sensitive to the presence of fractures and their ability to transport fluids, solutes and heat, which depends in turn on their geometry. Characterizing parameters like fracture length and orientation is therefore an important step towards making realistic flow and transport simulations. Despite advances in computational power, state-of-the-art approaches such as discrete fracture network (DFN) models still tend to be conditioned to conventional data sources, generally hydraulic tests or solute tracer tests, providing little constrains on 3-D fracture attributes (e.g. orientation). This highlights the need for novel experimental frameworks to better resolve complex flow patterns in fractured rocks with DFN models. Here we show how borehole thermal anomalies, caused by natural flow or by heat injection experiment, can be used to detect and characterize the orientation of permeable fractures. Heat has been increasingly used as a tracer in recent years owing to the commercialization of Raman scatter-based fiber optics distributed temperature sensing (DTS) systems tailored to environmental applications. We thus present a simple framework based on analytical and/or numerical methods to extract structural information on fractures intersecting or located nearby boreholes equipped with DTS systems. Our model assumes a single fracture, embedded in an impermeable rock mass, and is validated against a series of cross-hole thermal tracer tests performed in crystalline rock at the Grimsel Rock Laboratory, in Switzerland. Active heat injection was carried out by heating water using an electrical flow-through heater up to 45&amp;amp;#176;C for a duration 40 days. Fluid injection took place across a discrete, 2-m long interval packing off a single flowing fracture. A continuous fiber optics loop was deployed along three fully-grouted boreholes, which managed to record thermal breakthroughs of 1-2&amp;amp;#176;C up to 6-7 meters from the injection point. &amp;amp;#160;We find that orientations constrained from thermal anomalies do not necessarily correspond to structural orientations of borehole fracture traces. This orientation is defined instead by the borehole axis and maximum thermal gradient along heat-carrying fractures. Such parameter provides information on the spatial organization of discrete flow paths and may offer an alternative calibration parameter to constrain flow and transport simulations on DFNs.&amp;lt;/p&amp;gt;
The Use of 3D Pageflip Professional Electronic Student Worksheets on the Protist Concept on the Learning Outcomes of Grade X Senior High School Students

Currently, the success rate of students in schools is still lacking in learning the subject matter. Therefore, the authors conducted research on the use of 3D Pageflip Professional electronic student worksheets on the concept of protists on the learning outcomes of students in grade X high school. The purpose of this study is to describe the effect of using the 3D Pageflip Professional electronic student worksheet on the Protists concept on (1) product cognitive learning outcomes (2) cognitive learning outcomes of students in grade X high school. The design of this research is quasi-experimental and the design is The Nonequivalent control group design. The research sample is grade X-PMIA 1 and X-PMIA 2 as the experimental group, grade X-PMIA 3 as the control group. The research instrument uses multiple choice tests to measure product cognitive learning outcomes and process cognitive. The hypothesis data analysis technique is the Independent Samples Test from the pre-posttest. From the research, the results showed that there was an effect on the use of 3D Pageflip Professional electronic student worksheets on (1) cognitive learning outcomes of students' products with sig. (2-tailed) 0.017 (2) cognitive learning outcomes of students with sig. (2-tailed) 0.041. From the results of the study, it is suggested that the evaluation tool needs to be improved to make it look more effective in improving product cognitive and student learning outcomes.AbstrakSekarang ini tingkat keberhasilan dari peserta didik di sekolah masih dinyatakan kurang dalam mempelajari materi pelajaran. Maka dari itu penulis melakukan penelitian penggunaan e-LKPD 3D Pageflip Professional pada konsep protista terhadap hasil belajar peserta didik kelas X SMA. Tujuan dari penelitian ini yaitu untuk mendeskripsikan pengaruh penggunaan e-LKPD 3D Pageflip Professional pada konsep Protista terhadap (1) hasil belajar kognitif produk (2) hasil belajar kognitif proses peserta didik kelas X SMA. Rancangan penelitian ini yaitu quasi experiment dan desainnya yaitu The Nonequivalent control group design. Sampel penelitian yaitu kelas X PMIA 1 dan X PMIA 2 sebagai kelompok eksperimen, kelas X PMIA 3 sebagai kelompok kontrol. Instrumen penelitiannya menggunakan tes pilihan ganda untuk mengukur hasil belajar kognitif produk dan kognitif proses. Teknik analisis data hipotesisnya dengan uji Independent Samples Test dari pre-posttest. Dari penelitian didapatkan hasil yaitu terdapat pengaruh penggunaan e-LKPD 3D Pageflip Professional terhadap (1) hasil belajar kognitif produk peserta didik dengan sig. (2-tailed) 0.017 (2) hasil belajar kognitif proses peserta didik dengan sig. (2-tailed) 0.041. Dari hasil penelitian, disarankan perlu penyempurnaan terhadap alat evaluasi agar terlihat lebih efektif pengaruhnya dalam meningkatkan kognitif produk dan kognitif produk hasil belajar peserta didik.
Improving Continuous-Time Conflict Based Search

Multi-Agent Pathfinding (MAPF) is the problem of finding paths for n agents in a graph such that each agent reaches its goal vertex and the agents do not collide with each other while moving along these paths. While different problem statements of MAPF exist, we are focused on MAPFr (Walker, Sturtevant, and Felner 2018), in which actions’ durations can be non-uniform, agents have geometric shapes, and time is continuous. Continuous-time conflict-based search (CCBS) (Andreychuk et al. 2019) is a recently proposed algorithm for finding optimal solutions to MAPFr problems. In this work, we propose several improvements to CCBS based on known improvements to the Conflictbased search (CBS) algorithm (Sharon et al. 2015) for classical MAPF, namely Disjoint Splitting (DS), Prioritizing Conflicts (PC), and high-level heuristics. We evaluate the impact of these improvements experimentally on both roadmaps and grids. Our results show that CCBS with these improvements is able to solve significantly more problems.
ON THE ISSUE OF MODERN UNIVERSITY MANAGEMENT: OPTIMIZATION OF THE MANAGEMENT PROCESS

The authors study an urgent problem of our time-the transformation of University management in modern conditions in the context of modernization of higher education. The relevance of the research is caused by the need for further modernization of higher education in Kazakhstan, along with the development of the quality of education, the problems of University management become important.The purpose of the study: to determine the features of optimizing the management process of a modern University.The empirical base consists of research results analysis of a large number of qualitative and quantitative data collected in 2014-2016 by participants ofthe scientific project "Development of models of best practices of academic management and management in higher educational institutions of Kazakhstan" on the basis of which recommendations for improving the management system in Kazakhstan universities were developed.The results of the study will allow us to take a new look at the activities of universities in modern reality, and systematization of the observed changes in the business processes of universities will require the development of measures to create conditions for the transformation of higher education in the country in order to optimize the quality of the management process
IT technology in the management of the modern educational organization: implementation strategies and development

The article discusses the specifics of the management of a modern educational organization through the application of various innovative technologies. Thus it concentrates on IT technology, which represent a special stage of technological progress. The organizational and management activities by applying such technologies in the implementation and development process of these technologies for the educational and morale building activities of the modern teacher are being considered. Strategies for introducing and developing IT technology into the modern educational process are defined. The research resulted in comprehensive analytical conclusion, based on a survey aimed at future teachers, managers in education as well as students of different fields of training. In the course of the research, there was a survey conducted on "The application of IT technology in the modern educational process: factors of influence and effect" among students and graduates of the Federal Autonomous Education Institution of Higher Education "Crimean Federal University named after V.I. Vernadskiy". Respondents were 265 students and 120 teachers.
Evolution of situational factors in blended learning systems interfaces during COVID-19: An analytical study

The world has been undergoing tremendous transformation since early 2020 with the occurrence of a global pandemic of COVID-19. While it will take several years of study and research to understand the true effect of this pandemic on society, it is worthy of noting that it has already transformed our methods of leading lives. One of the areas, highly impacted by a pandemic is education. In order to deliver education in a distance learning manner, more and more academic institutions have been acquiring IT systems to deliver education to the students in the confines and safety of their homes. Saudi Electronic University (SEU) has been pioneering the application of online systems for blended learning in not just Saudi Arabia but the whole middle east and north Africa region. The reliance on systems at SEU for maintaining education standards during pandemics has increased. This has provided the opportunity to researchers in various fields of IT and computing to study evolving role of such systems in traditional and blended models of education. Situational Factors (SFs) are key elements that affect the acceptability of systems by stakeholders. This paper describes the outcome of the study that was carried out to identify critical Situational Factors that play a major role in the acceptance or otherwise of systems in the academic sphere during pandemic times. The results have shown that knowledge, communication, and trust are the most important situational factors for blended learning applications. The case studies and findings are presented followed by a brief analysis of results.
LINGBEE AS INTEREST DRIVEN IN BRAINSTORMING SPEAKING CLASS

This Research Aims to Measure the Students’ Interest in Brainstorming Speaking Class by Using Lingbe. The Researcher Used Lingbe as The Students’ Interest Driven In Brainstorming Speaking Class. The Researcher Involves Technology in Interactive Learning. In This Case the Researcher Offers an Interactive Application Called Lingbe.A Pre-Experimental Method Was Conducted by The Researcher in This Study. The Population Was The Xii Grade Students Of Mipa Of Sman 2 Barru. Due To This Semester Consisted Six Intact Class (228 Students), The Researcher Used The Cluster Sampling Method In Deciding The Research Sample. The Instruments That Were Used In Collecting The Data Were An Informal Likert’s Scale Questionnaire And Analysed By Using Spss Application.The Results Of The Research Showed That The Students Stated Interested In Learning English Using Lingbe Assisted By Brainstorming In Their Speaking Class. The Mean Score Of Students’ Interests Was 54.85 And Considered As Moderately Interested.
Digital portfolio of the teacher as a means of developing professional competencies

The technology of the electronic portfolio of a teacher is presented, which ensures the continuous development of professional skills and assessment of competencies, for the implementation of effective professional activities using new methods of teaching and education in a modern and safe digital educational environment. The study is aimed at creating an adequate system of continuous professional development of teachers and assessment of competencies based on e-portfolio technology, taking into account Russian and international academic and professional standards, ready and able to implement professional activities at a high-quality level in a modern and safe digital educational environment. The practical significance of the research carried out lies in the organization of continuous professional training and support of pedagogical personnel, the effective assessment of competencies based on the e-portfolio technology in a modern and safe digital educational environment.
Role Change of Postgraduates in China's Education System

With the rapid development of Chinese higher education, postgraduate education has gradually gained public attention. As senior professional and technical talents, postgraduates are the main force of the country's cutting edge technological development. Compared to undergraduates, the study objectives of postgraduates have changed considerably, it is thus important that the learning method should also change correspondingly. Higher postgraduate education should therefore guide postgraduates to change their roles successfully. This study elaborates on why and how postgraduates can change their role, what postgraduates should do, future opportunities, and so on. The result of the study has great significance for the changing role of postgraduates in China's educational system.
SC-DDPL as a Countermeasure against Static Power Side-Channel Attacks

With the continuous scaling of CMOS technology, which has now reached the 3 nm node at production level, static power begins to dominate the power consumption of nanometer CMOS integrated circuits. A novel class of security attacks to cryptographic circuits which exploit the correlation between the static power and the secret keys was introduced more than ten years ago, and, since then, several successful key recovery experiments have been reported. These results clearly demonstrate that attacks exploiting static power (AESP) represent a serious threat for cryptographic systems implemented in nanometer CMOS technologies. In this work, we analyze the effectiveness of the Standard Cell Delay-based Precharge Logic (SC-DDPL) style in counteracting static power side-channel attacks. Experimental results on an FPGA implementation of a compact PRESENT crypto-core show that the SC-DDPL implementation allows a great improvement of all the security metrics with respect to the standard CMOS implementation and other state-of-the-art countermeasures such as WDDL and MDPL.
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search

Monte Carlo tree search (MCTS) has achieved state-of-the-art results in many domains such as Go and Atari games when combining with deep neural networks (DNNs). When more simulations are executed, MCTS can achieve higher performance but also requires enormous amounts of CPU and GPU resources. However, not all states require a long searching time to identify the best action that the agent can find. For example, in 19x19 Go and NoGo, we found that for more than half of the states, the best action predicted by DNN remains unchanged even after searching 2 minutes. This implies that a significant amount of resources can be saved if we are able to stop the searching earlier when we are confident with the current searching result. In this paper, we propose to achieve this goal by predicting the uncertainty of the current searching status and use the result to decide whether we should stop searching. With our algorithm, called Dynamic Simulation MCTS (DS-MCTS), we can speed up a NoGo agent trained by AlphaZero 2.5 times faster while maintaining a similar winning rate, which is critical for training and conducting experiments. Also, under the same average simulation count, our method can achieve a 61\% winning rate against the original program.
DETECTION OF FACE MASK FROM THE LIVE VIDEO, USING CNN

The corona virus disease 2019 (COVID-19) has greatly affected the world. One of the most important ways of protection is to wear masks in public areas. In addition, the utility service providers provide the service to their customers, only if they wear masks. The proposed hybrid model is based on CNN, deep learning and machine learning, which are used to provide an efficient approach for the detection of the mask and also gives high accuracy. The approach considers the pictures with mask and without mask, to create a real-time face detection technology with the help of live stream via webcam. The goal of this project is to determine whether or not a person is wearing a face mask or not, with the help of computer vision and deep learning.
A Chat Powered Workplace with Hybrid Interface

This hybrid chat application with an AI based technical assistant will come handy while searching for an answer to a technical query. Whenever a user faces a technical problem, that user will search that problem on various forums. This application will be user friendly in which users can ask their queries to the Chabot and if the Chabot is unable to answer the query they can ask another user who is proficient in that particular skill. After the problem is solved by another user we will analyze the chat conversation of the users. The Chabot will learn through the analyzed conversation and next time it will be able to give a solution to that problem.
A bibliometric analysis of international publication trends in manuscript libraries research 2011-2020

Writing and printing have come a long way throughout our history and thus emerged the manuscript culture. Preserving archives is the need for us to stay close to the creators of our accessions. It keeps the throb of the past and preserves the literary, linguistic, artistic, and cultural heritage. The present study aims to provide a summary of research publication lined with manuscript libraries and characterize its most important aspects. The study result shows the United States of America exceeds in the area of research in manuscript libraries. Several outcomes regarding the annual trends, top collaborators in terms of journal and institute levels, language, country, and the keyword distribution indicating the impact of the advancement by utilizing the new trends and recent technologies to meet the expanded landscapes of digital humanities and scholarly communications. The challenge is how to best approach the publications coupled to manuscript libraries around the world.
Two Level Kazakh Morphology

We present a comprehensive two level morphological analysis of contemporary Kazakh with implementation and a disambiguation test data set on the Nuve Framework.Our study differs from the similar studies in a number of ways: (i) Our study covers both derivational and inflectional morphology to a greater extend (ii) Our implementation consisting of orthographic rules, morphotactics, a root lexicon of roughly 24 thousand roots, a lexicon of roughly 150 suffixes is open source which can be downloaded, reviewed and tested.(ii) Roughly 10 thousand manually disambiguated parses are available as a morphological disambiguation data set.(iii) It is easily extensible meaning it can be modified or extended with new rules without any programming.(iv) we are able to tackle emerging problems quickly and easily since Nuve is maintained by our study group.(v) Our implementation can handle separately written morphemes or digraphs etc. directly.(vi) We also have a Turkish morphological parser/generator in Nuve for morphology based machine translation between Turkish and other Turkic languages since these closely related languages have a lot in common from lexical, morphological, and syntactic aspects.
Technologies for the student personality as a factor of creating a creative environment

The article substantiates the need to use student-centered technologies to create a creative environment for the educational process, create a creative environment for teaching biology, which makes it possible for students to form knowledge, skills, basic and subject skills, as well as mega-competence, which contributes to improving the quality of education.