Reviewerly/exHarmony huggingface dataset:
HUBUNGAN MINAT BACA DAN MOTIVASI BELAJAR DENGAN HASIL BELAJAR BAHASA INDONESIA SISWA SEKOLAH DASAR DI KOTA MAKASSAR

This study aims to: (1) Knowing the relationship of reading interest with learning outcomes (2) Knowing the relationship of learning motivation with learning result Language (3) Knowing the relation of reading interest and learning motivation learning result Indonesian. Thisresearch ex postfacto which is coresional characteristic. ex postfacto research is a research that looks for un-manipulated relationship by the researcher.Population in this study are students in all Primary School in Makassar city which amounted to 100 students. Data collection techniques taken through the questionnaires. The research instrument used is questionnaire of reading interest and questionnaire of learning motivation with likert scale assessment, alternative answer consists of four options: strongly agree (SS), agree (S), disagree (TS), strongly disagree (STS). Technique of data analysis of descriptive analysis and inferential analysis.The results of this study indicate: (1) There is a significant relationship between reading interest and learning result of Indonesian language (2) There is a relationship between learning motivation and learning outcome of Indonesian language (3) There is a significant relationship between reading interest and learning motivation with learning result of Indonesian language.
LibGuides: Graphic Design: Books

A comprehensive guide to the library's resources and support to help you with your course. How to find books for your courses
Hubungan Dukungan Sosial dan Kecemasan dengan Motivasi Berprestasi pada Mahasiswa

Every student is required to show achievement in every learning process, which means that students must have achievement motivation. In the lecture process, various tasks and academic achievements are found to be achieved. This can lead to anxiety about failure. Students certainly support each other, social support for themselves can affect achievement motivation. The purpose of this study was to determine the relationship between social support and anxiety with achievement motivation in students. Hypotheses in research, namely: 1) there is a relationship between social support and anxiety with achievement motivation, 2) there is a positive relationship between social support and achievement motivation, 3) there is a negative relationship between anxiety and achievement motivation. The subjects in this study were psychology faculty students 1,3,5,7 and 9 semesters totaling 100 people. Data collection methods use anxiety scale, social support scale and achievement motivation scale. while data analysis uses multiple regression. Based on the analysis results obtained R = 0.546 which means there is a relationship between social support and anxiety with achievement motivation, then the correlation coefficient (rxy) of = 0.542 p = 0.000 (p 0.01) which means there is no significant relationship between anxiety and achievement motivation.
Plenary Talk 2 : Parallel Computing and AI: Impact and Opportunities

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. Parallel Computing has for many years now been needed in order to be able to get the desired performance for computational intensive tasks, ranging from image processing to astro-physics and weather simulations. Traditionally, the HPC field drove companies like Cray, IBM and others to develop processors for supercomputing. However, the market forces in other fields have-since the proliferation of COTS (commercial off-the shelf) processors, including GPUs for gaming and now more recently AI- driven the innovation in processor design. This means that algorithms, tools and applications now should adapt and take advantage of tensor processor, Machine Learning techniques, and other related technology, rather than expecting that old computational models will hold true. In this talk, we will discuss these issues, including how this is also an opportunity to help develop better graph algorithms for AI, and apply some of the techniques from AI to HPC challenges.
백워드 설계 2.0을 활용한 ‘태양계와 별’ 단원 수업이 과학 학업성취도와 수행평가 및 과학 수업 만족도에 미치는 효과

In order to help elementary students understand the astronomical unit in depth, this study applied backward design 2.0 to check the effect on students' science academic achievement, performance evaluation, and science class satisfaction. As a result of the study, there was no statistically significant difference in the science achievement test, but the average score of the experimental group has improved. As a result of the performance evaluation test, there was a statistically significant difference because the feedback was well provided through the process-focused assessment and it helped in-depth understanding. As a result of the science class satisfaction test, there was a statistically significant difference in the areas of science curriculum and peer relation except for the science teacher area. This is because a differentiated science curriculum was designed through analysis of achievement standards, and various teaching methods of student-centered were implemented to reach achievement standards. We hope this study will focus on the impact of backward design 2.0 on learners in elementary science classes and help find ways to effectively apply backward design 2.0 in the field.
Usability Insight of Animated Infographic Module in Arabic Grammar Learning

The use of multimedia technology in teaching and learning in Arabic grammar is very crucialin line with the needs and interests of today's students. As such, an animated infographic module in learning Arabic grammar has been developed to adapt the use of this instructional mean. This study aimed to evaluate the usability of an infographic module known as the iGQA Module. The process of module development employed a Design and Development (DDR) approach which involved few phases such as needs analysis, design and development phase, and usability evaluation phase. This study adapted a survey method to evaluate the developed modules. Questionnaire instruments were distributed to 74 students of ISM Arabic Studies, Sultan Zainal Abidin University who participated in the online module learning sessions. Data were analysed descriptively using the Statistical Package for Social Science (SPSS). The results showed that the level of student satisfaction is high on the elements applied in the module. In conclusion, the developed modules help students to understand Arabic grammar easily and are able to pique their interest in learning it.
Conclusion: An Outsider Looks In

For problems of foreign election interference, international law is an important vehicle for promoting cooperation and combating the worst forms of human (and other) behavior. Nevertheless, scholars of international law engage these problems from limited perspectives. For example, law (including international law) does not deal well with large-scale bad effects that may result from the commission of many unfriendly acts that are individually legally permissible. Nor does international law seem able to handle nonstate actors whose electoral impact crosses national borders. Put differently, what is the meaning of “foreign” election interference when domestic actors are often willing and able to do what a foreign adversary might wish them to do? One important class of domestic actor is the useful idiot—the citizen who is easily tricked into spreading a message that advantages the adversary. A second class of actor, especially relevant for U.S. elections, is the U.S.-based social media company whose free services foreign adversaries use to influence politically relevant messaging. Lastly, international law scholars would do well to question the fundamental psychological limitations on human “rationality” on which many of their putative solutions are based; collaboration with social and cognitive psychologists would help in this regard.
Covariates impacts in compositional models and simplicial derivatives

Compositions can be used as variables in regression models, either as explanatory variables (see Hron et al. (2012)) or as dependent variables (see Egozcue et al. (2012)), or both (see Chen et al. (2016), Morais et al. (2018b) and Nguyen T.H.A (2018)). However, measuring the marginal impacts of covariates in these types of models is not straightforward, as the change in one component of a composition may affect the rest of the composition. Morais et al. (2018a) have shown how to measure, compute and interpret these marginal impacts in the case of linear regression models with a dependent composition (Y) by compositional explanatory variables (X). The resulting natural interpretation is in terms of an elasticity, commonly used in econometrics and marketing applications. Morais et al. (2018a) also demonstrate the link between these elasticities and simplicial derivatives as defined in Egozcue et al. in Pawlowsky-Glahn and Buccianti (2011), chapter 12 and Barcelo-Vidal et al. in PawlowskyGlahn and Buccianti (2011), chapter 13. The aim of this contribution is to show how to compute these semi-elasticites and simplicial derivatives in other situations, namely first when the dependent variable is a composition and the explanatory variables are non-compositional, and second when the dependent variable is noncompositional and at least one of the explanatory variables is a composition. Moreover we also consider the case where a total is used or not as an explanatory variable, with several possible interpretations of the total. Finally, we discuss how to compute confidence intervals for these elasticities or semi-elasticities, which significantly improves the interpretability of the compositional regression models. This contribution will be illustrated by real-data applications.
Design And Development of an Microcontroller Based Automatic Dual Axis Solar Radiation Tracker

Global energy usage is increasing every year due to increase in world population. The need for the use of renewable energy is rapidly growing, as fossil fuels are limited. Solar energy is considered better among renewable energy sources, since it is free and readily available in abundance. Solar tracking system is one of the ways to increase efficiency. Compared to the fixed panel structure, by tracking the sun’s position and moving the solar panel in dual axis will be better. Design and development of a dual axis automatic solar radiation tracker to ensure it is always perpendicular to the sun is proposed to increase the efficiency. The Dual Axis Solar Tracker (DAST) and control system is a combination of hardware and software,   automatically track the sun’s position throughout the day time. Maximum power point tracking (MPPT) charge controller is much more efficient at certain conditions, like cloudy weather or when the intensity of light is not strong.  Light Dependant Resistor (LDR) is used to track the sun’s position by comparing the output of the sensor from the four directions (North, South, East, West). A mechanical structure developed is used for experimental studies. Dual axis movement is controlled by stepper motor with pulley and belt, while the elevation is control by a linear actuator. Static solar panel with and without MPPT charge controller and tracking solar panel with and without MPPT charge controller results are analyzed and it is proved that the solar efficiency is much improved with design developed. . It has been found that DAST provides 16% more power output compared to static solar panel.
Using DSDM for Developing Graduate Study Based Cryptanalysis Projects

This work focuses on the use of agile software development methodology (namely Dynamic System Development Method - DSDM) in the design and implementation of a general cryptanalysis platform for pedagogical purposes. The project is achieved by several graduate (mainly M.Sc.) students successive projects. Indeed, a small pilot project related to the cryptanalysis of classical ciphers is explored. Besides the educational benefits expected on the information security side, other benefits of practicing with certain software development will also be investigated. Thus, the work can be considered to be under the general title of ethical hacking.
METHODOLOGICAL BASES OF FORMATION OF INFORMATION AND COMMUNICATION COMPETENCE OF FUTURE TEACHERS

The article determines the effectiveness of increasing the volume of knowledge, skills and abilities of students in the context of informatization in such regulatory documents as the State Program for the Development of Education of the Republic of Kazakhstan for 2020-2025, the Law of the Republic of Kazakhstan "On Education", the State Program "Digital Kazakhstan", theoretical basics of literacy of information and communication competence of a teacher. The article discusses the need for any future teacher in the information society to master the basics of information knowledge, use information and communication technologies (ICT) for self-education and develop skills to use their potential as a cognitive and didactic tool in professional activity. The needs of future teachers in the country's universities and the main directions of social and pedagogical activities are described. There are also links to the formation of information and communication competencies of future teachers and a review of the work of domestic and foreign scientists.
Comparison and Validation of Optimal Path Lengths in the Presence of Elliptical Forbidden Regions between CGA and V-Rep

This paper presents Comparison and Validation of Optimal path lengths in the presence of Elliptical Forbidden Regions between CGA and V-Rep simulation software. A systematic approach was made for developing results by applying a suitable CGA methodology that meets the solution requirements of routing problems that involve path planning procedures. CGA technique helps in reducing the evaluation time and also directly generates the shortest path for navigation to reach its destination point. The solutions thus obtained by CGA Technique absolutely agreed with the solutions by V-Rep and even produced optimal solutions when compared with V-Rep.
IMPLEMENTATION OF THE MODIFIED K-NEAREST NEIGHBOR METHOD FOR CLASSIFICATION OF MAJORS CONCENTRATION SELECTION IN LEARNING

Department of Communication studies UIN SUSKA Riau, Indonesia currently applies the selected of interest (concentration) to students aimed at directed stu-dents to more focus on certain courses based on their interests and academic abili-ties. The concentration that exist in the Department of Communication stuides are public relations, broadcasting and journalistic. Determination of concentration se-lection is carried out by the head of the department. However, to select the right concentration for students, Department have several problems in selection the concentration process. This is because students’ data and value of courses must be classified first, then by conducting an interview to determine the level of stu-dent interest. So that with this process requires a long time. For this reason, a system that can help the selection process of concentration is needed. In the datamining, there is a classification to allow users to group data based on their class. In this study classification will used the Modified K-Nearest Neighbor (MKNN) algorithm. In this study, the parameters used are the values of 6 courses namely introduction to public relations, introduction to journalism, the basics of broadcasting, news writing, mass communication and advertising and the interest of the students concerned. The test was carried out on a concentration classifica-tion system that had been built using confusion matrix. Confusion matrix results obtained are the highest accuracy in the 90% data training scenario and 10% data test with k = 2 and k = 3 values that is equal to 78.08%.
An Improved Hybrid and Knowledge Based Recommender System for Accurate Prediction of Movies

Recommender system is an adaptive technology and tool that is used in business organizations for offering the products and services by observing their interest and popularity of products. In this paper, an improvement over the existing hybrid and knowledge based recommender system is proposed by integrating the clustering method within content based filter and classification method within collaborative filter. The proposed method handled the scalability problem by using the fuzzy clustering method. This reduced dimension based dataset is processed by the probabilistic Bayesian network classifier for predicting the recommendations. The sparsity problem is handled in both stage of this model. The proposed recommender system model is applied on MovieLens dataset. The comparative analysis was done against content-based recommender system (CBRS), Pearson correlation based collaborative recommender system (PCRS), Frequency-weighted Pearson Correlation (FPC), Weighted Pearson Correlation (WPC) and hybrid recommender systems (HRS). The average RMSE rate achieved by CBRS, PCRS, FPC, WPC, HRS and the proposed hybrid recommender system are 0.3851, 0.3515, 0.3527, 0.3539, 0.3340 and 0.1987 respectively. The significant reduction in MAE rate is also identified in this work. The experimentation results identified that the proposed model reduced the error rate and improved the accuracy rate over existing systems.
TALP at eHealth-KD Challenge 2020: Multi-level recurrent and convolutional neural networks for joint classification of key-phrases and relations

This contribution has been partially funded by the Spanish Ministry of Economy (MINECO) and the European Union (TIN2016-77820-C3-3-R and AEI/ FEDER,UE).
SISTEM INFORMASI KELUHAN PELANGGAN DI PT. SOLNET INDONEISA

PT. Solnet Indonesia is an Internet Service Provider. PT. Solnet Indonesia has quite a lot of customers in various branches, especially on the island of Batam. The existence of an information system for customer complaints cannot be used as a good tool even though it is already using a good system. This is due to constraints in maximizing the system. So that we need a system that can fulfill the information system effectively and efficiently and improve the quality of service to customers. Information systems for customers of PT. Solnet Indonesia manages customer complaint data. With this information system, officers can make new complaints, edit complaints and delete complaints. In this information system, officers also easily search for complaints that have ever existed on the system without having to open file by file. This information system is in the form of a desktop programming. The programming language that the authors use in this development is the Visual Basic programming language. This information system is multiuser, allowing many users to access this information system. Users who have access rights consist of full, write, read. In addition, this information system can also make reports in accordance with existing data in the system.
Learning Factory «5g and Next Generations Radiotechnology»

Necessity to teach students basic professional and cross-cutting skills lead to the creation of the learning factory «5G and Next Generations Radiotechnology». It allowed uniting university specialists, technological and industrial partners, acting in a framework of practice-oriented education for the new markets and future jobs.
Dynamic Information Routing in Neuronal Circuits

Master’s Degree in Physics of Complex Systems (Specialization/Pathway in Complex Systems), Centre for Postgraduate Studies, Academic Year 2019/2020.
Integrated Approach to the Translation of English Idioms from Cultural Perspective

Translating is a complex and fascinating task. Idioms are the crystallization of language. It is difficult task to translate idioms because language and cultural differences mean that not all English idioms have equivalents in Chinese idioms. Literal translation, free translation, explanational translation, borrowing, compensating translation, and integrated approach are the six translation tactics for translating English idioms into Chinese, according to research. &nbsp;It is believed that a reasonable choice and the quality of interpretation are decided by the translator’s cultural awareness and creativity. This paper aims to propose the integrated translation approach, one indispensable and essential tactic to Chinese translation of English idioms in the perspective of culture based on Nida’s dynamic equivalence, hoping to cast some enlightenment on further research in this field.
개화기 조선의 근대화와 관련된 조선과 일본의 인적 및 지식교류 연구현황 분석

As for historical records left in the process of exchange and conflict with Japan in the process of modernization, the prior study was analyzed in two areas: civilization and modernization of Joseon based on Japanese-made Chinese characters, and human, knowledge and cultural exchanges. In the case of extracting Japanese kanji, it is necessary to distinguish them based on the related specialized dictionaries and to analyze historical data. so it is required to analyze the background of the Japanese new language related to the history of science and civilization. Based on these perspectives, potential topics for future analysis are the following. Reevaluate the formation and conflicts of literary network in relation to the influx of New Chinese Characters in Japan and knowledge sharing based on overall analyses of missionary reports and travel logs. 1) Reevaluate the thoughts of authors on knowledge sharing through missionaries and literary network with people in Japan from Kisoo Kim’s 『日東記遊』, Hunyoung Lee’s 『日槎集略』, Younghyo Park’s 『使和記略』, and Daeyang Park’s 『東槎漫錄』. 2) In terms of missionary reports, the analysis of the Joseon Dynasty and Japan's position and intention based on Japanese diplomatic documents 3) Analyze characteristics of New Chinese Characters in Japan as appeared in knowledge sharing based on books written by students studying in Japan and newspapers after the opening of trade. 4) Cross-referencing and analysis of words by indirect exchange, such as the books and newspapers, and the results of direct exchange will be somewhat different, meaning that the authors will study abroad and stay for a long period of time. 5) As for 1) and 2) above, analyze characteristics of New Chinese Characters in Japan as appeared in the excerpts from books and newspapers written by missionaries to Japan and students studying in Japan to identify their origin as to whether they are based on Western languages from Chinese classics translated by Japanese or independently created by Japanese.
What Do We Know About the Second Moment of Financial Markets?

Recent research shows that the vast majority of scientific studies published in leading finance journals fails scientific replication (Hou, Xue, and Zhang, 2020; Harvey, Liu, and Zhu; 2016). This study argues that p-hacking, publication pressure and the selection bias from leading finance journals are perhaps not the underlying root cause for this issue. We show that standard methodologies often used in finance research are inevitably sample-specific due to the very nature of financial markets. While the consensus of earlier research postulates a rejection of the time-honored Levy hypothesis, our results strongly indicate that the variance of variance does not exist in any of the financial key markets we consider. An unexpected finding of this study is that the variance process governing the U.S. dollar foreign exchange rate market is generating more extreme events than the Bitcoin market. Our results cast doubts on the validity of methodologies currently used in finance research.