Reviewerly/exHarmony huggingface dataset:
War of Social Messaging Platforms

This chapter studies four social messaging platforms, including WhatsApp (United States), WeChat (China), LINE (Japan), and KakaoTalk (South Korea), and applies a relational view of design to explore how the material and the discursive are fused to articulate culturally sustaining value propositions and global mobilities. Based on a multiyear, multisited transnational study and bilingual literature research, it traces the genre development of four local uptakes of a global technology assemblage from the angle of affordances. In exploring the culturally constructed and technology-mediated process of global mobilities, the chapter discusses how discursive affordances of the local uptakes presented culturally sustaining value propositions to spearhead businesses in global competitions, and how the artifact-based and distributed affordances together enhanced individual users to form identities of global mobilities within their communication ecologies for engagement and empowerment. It asks us to consider how we as designers should address the tension between cultural diversity and cultural sensitivity as part of today’s global cultural diversity reality for social media design.
Implementation Extreme Learning Machine for Rainfall Forecasting

Indonesia is one of country that have a large number of rainfall days in a year.So, make any sense that forecasting is important to get any strategies to overcome the problem of erratic rainfall.There are a lot of method that can conduct forecast rainfall, the new one is Extreme Machine Learning.Extreme Learning Machine (ELM) is a new learning method of artificial neural networks.ELM is an easy-to use and effective learning algorithm of singlehidden layer feed-forward neural networks (SLFNs).Therefore, ELM has the advantages of fast learning speed and good generalization performance.This research conducted by using rainfall data in Sleman city to get forecasting in one year.It found that the ELM method has a smaller value compared to the GARCH method for all six rainfall station stations in Sleman region.
SISTIM INFORMASI DAN KEPEMIMPINAN KEPALA SEKOLAH SD NEGERI DI PEKANBARU - RIAU

This descriptive research is intended to make a mapping of the availability and utilization of information systems and leadership of school principals in Public Elementary School in Pekanbaru - Riau. The formulation of problems to be answered are: (1) How is the availability and utilization of information systems in public elementary schools in Pekanbaru - Riau? and (2) How is the leadership of the school principals in the public elementary school in Pekanbaru - Riau? There are 12 districts in Pekanbaru - Riau and each district has a different number of public elementary schools. Through a proportional random sampling technique, 66 school principals were selected as samples. The instrument used was a questionnaire addressed to the principals. The principals are asked to give their response to the questionnaire given and they are free to choose one or more answers for each item according to their situation and condition. The data obtained were then analyzed using descriptive statistical analysis. The results of the data analysis showed that: (1) the information system available at school was rated positively by the principals, whether in terms of availability, management, or perceived benefits; and (2) in carrying out their leadership, their roles and functions as supervisors, managers and educators occupy the highest position.
Do You Need to Be Intelligent to Play Games?

Shall we play a game? You choose: Chess, Super Mario Bros., or Angry Birds. I'm giving you a choice because I don't know whether you are familiar with all three of them. I talked about Chess in the previous chapter: the Western's world's arguably most famous board game, played by physically moving pieces such as pawns, kings, and queens on a board with alternating black and white squares. By moving these pieces so that they threaten and capture your opponent's pieces, you can ultimately win over your opponent by surrounding her king. It has changed little since it was invented millennia ago.
Profiling Selebriti Fraud: Analisis Profil Koruptor di Indonesia

This study aims to analyze the profile (profiling) of corruptors in Indonesia. This research was conducted because it saw the problem of corruption in Indonesia as endless. Many government officials from the central government to local governments have been caught by the Komisi Pemberantasan Korupsi (KPK) in carrying out various types of corruption. Losses experienced by the country reached trillions of rupiah. Therefore, efforts to fight, eradicate and prevent corruption in Indonesia can be done through profiling analysis. This research is a qualitative research with descriptive method. The object of this research is the entire biodata of corruption convicts on the official website of the KPK (https://acch.kpk.go.id/id/jejak-kasus) during 2005 to 2016. The results of the study show that corruptors in Indonesia are 89% Male and state losses reached Rp1,159,101,252,520,-; 43.6% have S1 education and cause state losses of up to Rp180,936,238,257,-; 49% occupy the position of top/executive and cause state losses amounting to Rp 859,333,150,609,-; 72% are in government agencies; and organizations that are often victims of corruption 81.2% are government agencies.
A Real-Time Perception Information Security Algorithm in Internet of Things

In the real-time monitoring of insect ecological environment in Erhai wetland, Internet of Things technology is used by us. But information perception of embedded devices has privacy security problems. Therefore, based on RSA asymmetric encryption algorithm, we propose a real-time perception information security algorithm for Internet of Things. The algorithm is based on selection of large power prime number with probability two, linear private key calculation, modular power operation and so on. It solves bottleneck problems of RSA algorithm such as low efficiency of large prime number generation, slow code implementation, large amount of modular power calculation and large data storage capacity. Through simulation test and analysis of time complexity, the results show that the algorithm has better performance than other improved RSA algorithms in computer. It meets the real-time, energy-saving, privacy and other performance requirements in the application of Internet of Things.
A Critical Analysis on Multicultural Elements in Picture Books Suggested in Common Core State Standards, an Educational Initiative In the United States

본 연구는 미국의 공통핵심기준 (Common Core State Standards)의 부록 B에 포함된 도서 목록 중, 유치원에서 3학년까지의 목록에 포함된 그림책 80권의 다문화적 요소를 비판적으로 분석하였다. 먼저 공통핵심기준의 목적과 구성 및 특성에 대해 소개하였으며 공통핵심기준 부록 B에 대한 논의가 어떻게 이루어져왔는지 살펴보았다. 비판적 리터러시를 본 연구의 이론적 틀로 하여, 양적 내용 분석을 통해 주요 등장인물의 인종, 성별 및 성역할의 분포와 양상을 파악하였고, 질적 내용 분석을 사용하여 이러한 다문화적 요소가 독자들에게 전달할 수 있는 메시지를 고찰하였다. 그 결과 미국 공통핵심기준에 포함된 그림책들의 인종, 성별, 성역할이 현재 우리 시대와 삶의 모습에 부합하지 않으며 다소 비현실적이고 배타적인 묘사로 표현되었다는 추론이 가능하였다. 본 연구는 미국의 교육과정인 공통핵심기준에 포함된 그림책에 나타난 다문화적 요소와 이에 내제된 메시지의 내용과 문제점, 또한 개선점을 비판적으로 점검하며, 국내 교육과정에서의 활용과 정책 반영 시 고려할 수 있는 시사점을 제시하였다. 이에 본 연구는 향후 국내에서 그림책을 활용한 다문화교육의 개선과 발전 방안을 모색하기 위한 중요한 참고 사례로 살펴볼 가치가 있다.This study critically analyzes multicultural elements in 80 picture books listed as “exemplar books” in Appendix B of the Common Core State Standards (CCSS) for kindergarten through third grade in the United States. This research first briefly introduces the purpose, formats and characteristics of the CCSS and looks into the way issues with the CCSS Appendix B has been discussed. With Critical Literacy as the theoretical framework of this study, this study identifies the distribution and patterns of race, gender and gender roles represented by the characters through quantitative content analysis, and through qualitative content analysis, it also examines the messages these multicultural elements can convey to the young readers. As a result, it was inferred that the CCSS picture books includes rather unrealistic and exclusive description of race, gender and gender roles that do not necessarily conform to our present time and lives. This study is worth looking at as a reference case from the U.S. Curriculum, in order to explore ways to improve and develop multicultural education using picture books in Korean educational settings. As this study also critically examines the contents and problems of multicultural elements, messages and improvements in the CCSS picture books, it provides implications for Korean school curriculum and policies.
Design of a Blockchain-enabled gateway for IoT

During the last years, the interest around the Blockchain concept has grown faster and, as a consequence, several studies about the possibility of exploiting such technology in different application domains have been conducted. As a result, most of them highlighted the benefits that its use could bring in those context where the integrity and the authenticity of the data are important, e.g. for reasons linked to regulations about consumer's healthcare. In such cases it would be important to collect data in real-time through sensors and then store them in the blockchain, so that they can become immutable and tamper-proof. The thesis project aimed to the design and development of a software framework that allows Internet-of-Things (IoT) devices to interact directly with an Ethereum-based blockchain. The project has been carried forward in collaboration with the Food-Chain S.P.A. company, which operates in the field of food-tracebility through a blockchain-based mechanism. The company cooperates with the Quadrans Foundation which has powered its own Distributed Ledger Technology (DLT) based on the Ethereum Blockchain. The designed system has been integrated in a use case for temperature monitoring of fish products within a warehouse. Gathered monitoring data have been stored in a tamper-proof DLT. These data have been made accessible to the final consumer or to some certification authority, which can ensure that the temperature parameters imposed by the law have been satisfied. The obtained result demostrates one of the many possible use of DLTs in the IoT domain.
Self-Regulation Toward Entrepreneurship Intention: Mediated by Self-Efficacy in the Digital Age

This study aims to determine the effect of self-regulation on entrepreneurial intentions mediated by selfefficacy on students.The subjects of this study were 180 students of the Muhammadiyah University of Malang.The characteristics of research subjects are students who have attended entrepreneurship courses or workshops.Data collection uses a Likert scale to measure the variables.The data analysis method used is Mediated Multiple Regression using SPSS ver.22 for windows.Based on the analysis results obtained β = 0.804**, then the hypothesis is accepted.A student who has high self-regulation will increase entrepreneurial intentions.The magnitude of the effect of selfregulation on entrepreneurial intentions is mediated by self-efficacy, which is 28.9% (R 2 = 0.289).
Implementation of the Beta Distribution Parameter Estimation Method on Empirical Bayes of Small Area Estimation

There is a problem when the amount of available sample is not sufficient for estimating a parameter in sampel survey.Small Area Estimation can handle the problem with use additional variable, but there is a problem when the additional variable hard to get or not strong enough to correlate with the response variable.Empirical Bayes method can handle that because it does not need an additional variable, but there are and in that method which needs to be estimated.This research uses four methods for estimating and that is Moment and Newton Raphson by Rao, Moment and Newton Raphson by Claire.Moment by Claire, Moment and Newton Raphson by Rao are more effective than Newton Raphson by Claire while Empirical Bayes estimator are more effective than direct estimator.
PHILOSOPHICAL AND PSYCHOLOGICAL-PEDAGOGICAL BASES OF FORMATION OF CREATIVE ACTIVITY OF ADOLESCENTS

УДК 37.
64-Bit Processing

To store larger 64-bit numbers in a high-level language such as Java, variables are declared as long, or in the C programming language long long is used. In assembly language a quad word, qword, or signed quad word, sqword, is used. Just as a 32-bit double word is twice as big as a regular 16-bit word, a 64-bit quad word is two times larger than a 32-bit double word or four times larger than a 16-bit word, thus the name quad word.
The Effect of Contextual Teaching and Learning on Students’ English Grammar Competance

The research was aimed to the effectiveness of Contextual Teaching and Learning (CTL) in teaching grammar. Experimental study of pretest-posttest was used in this research. Non-randomize sampling was used as sampling technique. The validity test was calculated using point biserial correlation, and reliability test was 0.848 which was calculated by using K-R 21 formula. In analyzing the data, researcher used ANCOVA. The result shows that average score of pretest was 60,95 for experimental group and 60,00 for control group. The average score of posttest was 85,95 for experimental group and 78,9 for control group. The calculation of ANCOVA found that the value of F is 8.7 and F critical with df 76 at 0.01 level of significance 6.96. it means that F value was higher the F critical. From the result of data analysis showed that Contextual Teaching and Learning (CTL) gave effect on teaching grammar for 7th grade students of junior high school.
DIDACTIC READINESS OF TEACHERS TO DEVELOP A DIGITAL EDUCATIONAL ENVIRONMENT IN A PRESCHOOL ORGANIZATION

The article highlights the experience of analyzing the didactic readiness of teachers to develop a digital educational environment in a preschool organization.The article reveals the problems of introducing information and communication technologies into the professional activities of preschool teachers.The purpose of research is to assess the didactic readiness of teachers to move to the digital educational level.Based on the analysis of the scientific literature on the research problem, the essence of the didactic readiness of teachers for the development of a digital educational environment in a preschool organization is revealed.The nature, intensity, functions and causes of the typical difficulties of preschool teachers in the field of the implementation of information and communication technologies are identified, and on the basis of this, their level of readiness for the development of a digital educational environment in a preschool organization is confirmed.The analysis of the results of a comprehensive diagnosis.The study was conducted in preschool organizations among preschool educators.At various stages of research, 40 pedagogical workers took part in it.For comprehensive diagnostics, a set of questionnaires was developed to determine the level of readiness of teachers for the development of a digital educational environment.Teachers should be invited to get acquainted with the questions.As a result, all the problems associated with the implementation of ICT in the activities of preschool education specialists were identified.Analysis of the susceptibility of teachers to innovative activities and their motivational readiness allows you to use their knowledge, skills in professional activities, to determine the level of readiness for the development of a digital educational environment in preschool organizations.As a result, new models and training programs for teachers and specialists in the development of a digital educational
Employee Culling based on of Online Work Assessment through Machine Learning Algorithm

Online reviews are one of the significant factors in a customer’s purchase decision or to avail of any service. Online reviews give rise to the potential threats that fake reviewers may write a false review to artificially promote a product or defaming value of a service. Using Natural Language Processing, many methods have already been developed to detect fake reviews, especially reviews written in the English language. In this paper, I propose a novel framework where authenticity of a feedback will check through two perspectives. Firstly, the system checks whether the review is fake or not. Secondly, it also checks the authenticity of the reviewer. The outcome result accumulates in cloud storage for providing further business analytics.
COMPARATIVE ANALYSIS OF FACE RECOGNITION BASED ON SIGNIFICANT PRINCIPAL COMPONENTS OF PCA TECHNIQUE

Face recognition systems have been emerging as acceptable approaches for human authorization.Face recognition help in searching and classifying a face database and at a higher level help in identification of possible threats to security.In face recognition problem, the objective is to search a face in the reference face database that matches a given subject.The task of face recognition involves the extraction of feature vectors of the human face from the face image for differentiating it from other persons [6].In this work, the comparative analysis is done based on the varying number of highly significant principal components (Eigenvectors) of PCA for face recognition.Experimental results show a small number of principal components of PCA are required for matching.PCA technique is a statistical technique, it reduces the dimension of the search space that best describes the images.
Data Transmitting and Storing Scheme based on Bandwidth in Hadoop Cluster

산업 현장과 공공 기관에서 생성 및 수집되는 데이터의 크기가 빠르게 증가하고 있다. 기존의 데이터 처리 서버는 스케일업 방식으로 성능을 높여 증가하는 데이터를 처리하였다. 그러나 데이터의 생성 속도가 폭증하는 빅데이터 시대에는 기존 방식의 서버로는 데이터 처리에 한계가 있다. 이러한 한계를 극복하기 위해 스케일 아웃 방식으로 데이터를 분산 처리하는 분산클러스터 컴퓨팅 시스템이 등장하게 되었다. 그러나 분산 클러스터 컴퓨팅 시스템은 데이터를 분산 처리하기 때문에 네트워크 대역폭을 비효율적으로 사용할 경우 클러스터 전체의 성능을 하락시킬 수 있다. 본 논문에서는 네트워크 대역폭을 고려하여 하둡 클러스터에서 데이터 전송 시 데이터를 압축 전송하는 기법을 제안한다. 제안 기법은 네트워크 대역폭과 압축 알고리즘의 특징을 고려하여 최적의 압축 전송 기법을 선정 후 전송한다. 실험 결과는 제안 기법을 사용할 경우 데이터 전송 시간과 크기를 감소시킨 것을 보여준다.The size of data generated and collected at industrial sites or in public institutions is growing rapidly. The existing data processing server often handles the increasing data by increasing the performance by scaling up. However, in the big data era, when the speed of data generation is exploding, there is a limit to data processing with a conventional server. To overcome such limitations, a distributed cluster computing system has been introduced that distributes data in a scale-out manner. However, because distributed cluster computing systems distribute data, inefficient use of network bandwidth can degrade the performance of the cluster as a whole. In this paper, we propose a scheme that compresses data when transmitting data in a Hadoop cluster considering network bandwidth. The proposed scheme considers the network bandwidth and the characteristics of the compression algorithm and selects the optimal compression transmission scheme before transmission. Experimental results show that the proposed scheme reduces data transfer time and size.
Efektivitas Model Pembelajaran Role Model dalam Meningkatkan Hasil Belajar Siswa pada Kelas IV di SD IT Insan Karim Samarinda SeberangSEBERANG

This research begins with the results of an initial survey of researchers who observed during the teaching and learning process, the lecture method is still dominantly used by teachers, this method especially in Indonesian language lessons can make students in the learning process become less active and less optimal in student understanding. This can be seen from the results of learning and student test scores that are still below the Minimum Completion Criteria and sometimes students always ask the teacher for drama so that the lesson is more understanding. The purpose of the study was to determine the effectiveness of role playing models in improving student learning outcomes in Indonesian language lessons in class IV SDIT Insan Karim Samarinda Seberang. This research is a quantitative descriptive research with one group pretest posttest design research, data analysis using Wilcoxon test. The results obtained from this study are the mean pre-test of 81.8 (there are 3 out of 10 children who have not been completed), the mean post-test of 94.4 (all completed). Hypothesis test results have a significant value of 0.018 <0.05. Findings in the field that role playing learning models make students able to understand and remember the material being taught. Students deliver sentences that are easily understood by their friends, then students become active while the question and answer process takes place. The obstacle is that some groups that have not yet performed their drama, are not focused on watching the appearance of their friends who are performing.
Wind Effects on Power Generation of Solar Farm in California

Abstract In comparison to fossil fuels, solar energy is a more sustainable option due to its high availability and less environmental impact. Improving the efficiency of solar farms has been a primary concern of solar energy research. Many studies focus on the control of the tilt angle of solar modules to maximize their solar radiation reception and energy generation. However, an increase in solar radiation is accompanied by an increase in module temperature, which is known to be a significant parameter that reduces the power generation efficiency. Wind is another influential factor that helps Photovoltaic systems maintain a low operating temperature by enhancing the rate of heat transfer. Therefore, solar radiation and wind behavior are both critical parameters that must be considered to optimize solar panel performance. In this paper, the effect of wind conditions on solar panel performance will be examined. The solar panel energy output model will be built by empirically considering the irradiation, ambient temperature, wind speed, and wind direction. The published weather data and energy output data for the year 2017–2018 have been collected from Antelope Valley Solar Ranch, located in Lancaster, California. Four models have been proposed and the results indicate that the model which incorporates the wind conditions has the highest accuracy in approximating the energy production of solar farms. Among the factors that affect the temperature of solar panels and further the efficiency of solar panels including solar irradiation, convection, conduction, wind plays a major role in convective heat transfer. Based on this model, the potential improvement of energy generation via introducing a horizontal installation angle and adjusting this angle monthly according to the wind conditions is further analyzed. These results will help designers improve the design of solar farms by taking into consideration the local weather conditions.
Study on Strengthening Military Charateristics in Practical Teaching of Electronics in Military Academies

After the adjustment of military academies, their target of talent cultivation is more specified than before. The teaching of fundamental subjects is consolidated. Characteristics of teaching should be more vivid and contents of practical teaching in electronics is relatively more flexible. There is a desirable future in strengthening the fundamental teaching characteristics in military academies. Originated from the talent cultivation of military academies, the characteristics of the basic teaching curriculum are highlighted in this paper. We study the practical teaching in electronics and share our experiences in teaching and research. The current situation of practical teaching in electronics is overviewed with specific discussions on training of teachers, design of teaching cases, strengthening the subjectivity of students, etc.