Reviewerly/exHarmony huggingface dataset:
ANALYZING STUDENTS’ READING ABILITY TO COMPREHEND TEXTS AT GRADE V OF GROUP I OF ELEMENTARY SCHOOLS AT DISTRICTS TAMPAN PEKANBARU

This was a descriptive quantitative study. The purpose of this study was to determine the reading comprehension ability of fifth grade students of Group I of Elementary Schools, Kecamatan Tampan, Pekanbaru. The data were collected through a test in the form of multiple choice questions, totaling 50 items. The validity of the research was performed by experts. The samples in this study were 343 students coming from 5 schools, namely SDN 37 Pekanbaru, SDN 147 Pekanbaru, SDN 192 Pekanbaru, SDN 188 Pekanbaru, and SDI Brilliant Pekanbaru. The results showed that the average indicator of understanding the meaning of the word was 61.34 with sufficient category, the indicator for understanding the content in the paragraph was 61.72 with sufficient category, the indicator of determining the main idea was 64.72 with sufficient category, the indicator in the correct order of sentences was 63.09 with sufficient category, and the indicator of concluding the reading text was 62.36 with enough category.
Box-constrained optimization for minimax supervised learning

In this paper, we present the optimization procedure for computing the discrete boxconstrained minimax classifier introduced in [1, 2]. Our approach processes discrete or beforehand discretized features. A box-constrained region defines some bounds for each class proportion independently. The box-constrained minimax classifier is obtained from the computation of the least favorable prior which maximizes the minimum empirical risk of error over the box-constrained region. After studying the discrete empirical Bayes risk over the probabilistic simplex, we consider a projected subgradient algorithm which computes the prior maximizing this concave multivariate piecewise affine function over a polyhedral domain. The convergence of our algorithm is established.
EDMODO-BASED BLENDED LEARNING MODEL ON NEWS TEXT MATERIALS FOR CLASS VIII

This study and development are motivated by the use of internet-based technology that has not been maximized in learning in schools, especially junior high schools. Therefore, the purpose of this study is to develop a learning model that combines the learning proces directly throught face-to-face online learning through applications, so that researchers develop a blended learning model based on edmodo in learning news text for class VIII SMP. This study uses the research and development (R D) method, with the ADDIE model development procedure, namely the analysis, design, development, implementation, and evaluation steps. The results of this study indicate that the learning model that has been developed can be categorized as "very feasible". This is evidenced by the average score of 82. The average score obtained from material experts is 87, from media experts is 74, and from teaching experts is 85. Based on this, it can be concludedthat the study and development of this learning model can be a supplement in learning so that students are more active and independent.
PERANCANGAN SISTEM INFORMASI KELENGKAPAN REKAM MEDIS RAWAT JALAN DENGAN METODE V-MODEL

This research aims to identify the design of information systems of outpatient medical record completeness by V-Model Method.Research methods used is qualitative method with descriptive approach. Data collection techniques used are by of observation, interviews, and the study of the literature. A method of software development model used the V-Model. From this research found a problems there are still many unfilled outpatient medical record files, Input of the data is not optimal which is occured of many errors and many delays in delivery reports frequently.Therefore, there are some suggestion that is given to resolve the problems in the system of the completeness of medical record file providing the socialisation on the importance of filling the medical record completely and Creating the information systems which are integrate and effective more.
Anti-graft war: social media as tools for creating awareness for Biometric Verification Number (BVN) registration in Nigeria

Social media networks have been found to be potent channels of communication to the masses. Facebook and Twitter in particular have been found to be highly influential in sensitizing and mobilizing the populace towards vital issues such as elections, public health, protests like #OccupyNigeria and #EndSARS. Against this background, the paper interrogated the effectiveness of social media’s usage in creating awareness for the Biometric Verification Number (BVN) registration of bank customers aimed at checking illicit financial transactions in Nigeria. The theoretical underpinning of the paper was anchored on diffusion of innovation, and uses and gratifications theories. Whereas the study employed survey method, its population comprised bank customers resident in Abeokuta, the capital city of Ogun State. A sample of 150 respondents was selected randomly and a structured questionnaire was administered to gather quantitative data. Findings showed that social media networks were effective in informing and mobilizing bank customers about BVN registration. Majority of the respondents became aware and knew about BVN project through the social media accounts of banks, email and bulk SMS. Also, the extent to which banks utilized the various social media networks was very high. But the study concluded that respondents lacked confidence in email and SMS about BVN for fear of rising incidence of cyber fraud. Therefore, it recommended that the Bankers’ Committee of the Central Bank of Nigeria (CBN) should direct banks to consolidate using mainstream and social media.KeywordsSocial media, BVN registration, awareness, cyber fraud, anti-graft war
Vector-Like Leptons in Light of the Cabibbo-Angle Anomaly

The first row of the Cabibbo-Cobayashi-Maskawa (CKM) matrix shows a discrepancy of ∼3 σ with unitarity, known as the "Cabibbo Angle Anomaly" (CAA).This tension can be explained via modified W couplings to leptons, but in order to consistently assess the validity, a global fit including the electroweak (EW) precision constraints and the low energy tests of lepton flavour universality (LFU) is necessary.Performing such a fit for gauge-invariant dimension-6 operators, we find that even when assuming LFU, including the CKM elements V us and V ud into the electroweak fit has a relevant impact, shifting the best fit point significantly.Vector-like leptons (VLLs) are prime candidates for a corresponding UV completion since they can affect the W and Z couplings to leptons already at tree-level.Studing each pattern of new physics (NP) given by the six possible representations of VLLs (under the SM gauge group) we find that any single representation describes experimental data at most slighlty better than the SM hypothesis.However, allowing for several representations of VLLs at the same time, we find a simple scenario consisting of a singlet, N, coupling to electrons and a triplet, Σ 1 , coupling to muons which not only explains the CAA but also improves the electroweak fit in such a way that its best fit point is preferred by more than 4 σ with respect to the SM.
Контрольні тести як компонент контрольно-оцінювальної діяльності в гімназії (на прикладі гуманітарного профілю)

International scientific and practical conference «Pedagogy, psychology and teaching methods: international experience» : conference proceedings, July 16–17, 2021. Riga, Latvia : «Baltija Publishing», 2021. 295 pages.
Multi-aspect potential of project activities in the university (based on the innovative platform project material)

The article discusses the methodology of work on the project of the “Revival of traditions of family reading in the modern spiritual education of children and youth” innovative platform, organized in the Arzamas branch of the SUNN. The project is a cumulative phenomenon that synthesizes the scientific and methodological experience of leading teachers, psychologists, and organizers of children’s reading, research scientists of children’s literature. The project involves scientists, teachers of educational institutions of different levels, students, children of different ages, and their parents in a wide joint creative activity. Particular attention in the development of this practice-oriented innovative project is paid to the activities of the student initiative group and its pedagogical effect. The educational strategy of the project contributes to the development of constructive critical thinking and is aimed at developing a wide range of professional competencies among students participating in the project: professional and pedagogical, communicative, general cultural, and informational. The article pays particular attention to the description of the complex of educational products and forms of methodological assistance to teachers and parents. In the process of implementing this project, the urgent needs of teachers and families participating in the project are met. Those include the acquisition of methodological experience in working with parents and children to popularize children’s literature and family reading; practical experience of working with a children’s book in a family circle; the acquisition of artistic reading and recitation skills by the project participants; the generalization and systematization of scientific and methodological experience in the field of children’s literature and family reading; family and creative literary communication; the introduction to the literary study of local lore. Literary and ethical-artistic questions are brought to spectators through theatrical communication.
Compilation and Dissemination of Lithuanian Paremias: Contemporary Resources

The Collection of Lithuanian Proverbs and Proverbial Phrases built by the Institute of Lithuanian Literature and Folklore in Vilnius presents a thorough view of the corpus of traditional paremias. A larger part of the Collection consists of archival data, another one – of paremias collected from written sources.Archival data – that is paremias mostly from the Lithuanian Folklore Archive (LTR), Lithuanian Scientific Society’s Archive (LMD). These texts are mainly samples of the spoken language and dialects. The oldest archive collections are from the 19th century. Another large part of Lithuanian paremias compilation consists of texts collected from written sources. It is worth to mention, that we have around 1500 proverbs from the period of the 16th to the 18th centuries.The collection is accessible through three resources: they are the Card Index, the publication “Lithuanian Proverbs and Proverbial Phrases” (LPP), and The Electronic Compilation of Proverbs and Proverbial Phrases (eLPP).The Card Index was the first organized and systematized resource of Lithuanian paremias and served as the base for LPP and eLPP. The Card Index was created in 1970–1990 following the initiative of professor Kazys Grigas, who was also the author of the system of it. There are around 50 000 proverb types and more than 200 000 variant texts in the Card Index.At the end of the 20th century, LPP was started to be compiled. There have been three volumes published until now (Vol. 1 – 2000, Vol. 2 – 2008, Vol. 3 – 2019). LPP presents carefully sorted data without duplicates, copies, and fakes, and it has some additional data: Lithuanian paremias equivalents (in Latvian, Polish, German, English, Latin, and Russian) and type titles’ translations into English, German, and Russian.In 1998, eLPP was started and in 2018, after receiving funding from the Lithuanian Research Council (LMTLT), the database was updated. Now, the database also has an English version. eLPP includes the Card Index’ data and LPP data as well, with an exception of paremias variants. Due to the recently observed rising need to find an explanation of a saying, the category “Interpretation” has been introduced. The newly programmed search engine now contains functions of a simple search, advanced search, and selection lists. The database address is http://archyvas.llti.lt/elpp/lt, an email for comments and questions is patarles@llti.lt.
Type and Strategy of Code Switching Used by English Teachers in The Process of Teaching and Learning English

The purpose of this research were: (1) to describe type of using code switching and (2) to describe the strategy behind the use code switching made by English teachers in English language teaching and learning at SMAN 1 Padang Sago. This research used descriptive qualitative design. The population were all English teachers in the school who taught English subject for 10th, 11th and 12 th graders in the 2019 academic year . The purposive sampling technique was employed in the research in which the total sampling were all 5 English teachers. Instrumens to collect the data were observation chceklist and interview. In the observation checklist, all teachers’ utterancess were categorized according to the types and strategies of the code switching belong to. To determine the frequency of the type and strategy of the code switching emerging in observation checklist, the numberof the type and strategy that emerged were count manulay. Then, the percentage formula was used. Then, the interview was used to validate the result gained from the observation checklist. Finally, among 110 utterances , it was found there was 4%, of tag switching used by the tecaher, inter-sentential switching was 36%, and intra-sentential switching was 60%,. On the other hand, among 10 strategies of code switching proposed by Hoffman (1991), it was found that the teacher preferred to use only 4 strategies only of which are for scosiisted of expressing solidarity 48%, interjection7%, repetition 28%, and clarification19%).
POTENTIAL OF FOREIGN LANGUAGE LESSONS IN THE FORMATION OF SOCIALLY ACTIVE CIVIL COMPETENCE IN STUDENTS

The article describes the work on the formation of socially active civic competence. The process of assimilation and understanding by students of the concept of citizenship depends on the degree of their involvement in cognitive and socially useful activities. Students who have a fairly complete understanding of civic competence often do not see the possibilities of applying this quality in life, where their intervention and assistance is most needed. To solve the set tasks, a technology for the formation of socially active civic competence is proposed.
Face Recognition Use Local Image Dataset and Correlation Technique

Face recognition is an extreme topic in security field which identifies humans through physiological or behavioral biometric characteristics. Face recognition can also identify the human almost in a precise detection; one of the primary problems in face recognition is the accurate recognition rate. Local datasets use for implementing this research rather than using public datasets. Midian filter uses to remove noise and identify errors, also obtains a good accuracy rate without modifying image quality. In addition, filter processing applies to modify and progress images and the discrete wavelet transforms algorithm uses as feature extraction. Many steps are applied in this approach such as image acquisition, converting images into gray scale, cropping the image, and then passing to the feature extraction. In order to get the final decision about the indicated face, some required steps are used in the comparison. The results show the accuracy of 91% of the recognition rate through the human face.
Ethical Issues of Cyberstalking and Personal Privacy in Pakistan: A Literature Survey

Electronic media is the fastest-growing technology of the modern era. Our society is relying on technological powers and lighting the fast speed of the internet to get maximum information about everything anywhere in the world. It plays a significant role in providing various facilities to the users but at the same time, personal privacy and cyberstalking issues must face. Cyberstalking is considering a major arising challenge to the modern world currently. Modification of technologies has a direct relationship with increase crimes of cyberstalking. This article represents a glimpse of unexpected activities like ethical dimensions of privacy, cyberstalking, and cyber harassment in Pakistan. Furthermore, the strategies associated with cyberstalking crimes, judicial involvement measures, and preventative proposals are also reported minimizing this emerging global crime.
Identification of Microcontroller Based Objects Using Image Classification in Python

Abstract: In this paper, I built an AI model using deep learning, which identifies whether a given image is of an Arduino, a Beaglebone Black or a Jetson Nano. The identification of the object is based on prediction. The model is trained using 300 to 350 datasets of each category and is tested multiple times using different images at different angles, background colour and size. After multiple testing, the model is found to have 95 percent accuracy. Model used is Sequential and uses Convolution Neural Network (CNN) as its architecture. The activation function of each layer is RELU and for the output layer is Softmax. The output is a prediction and hence it is of probability type. This is a type of an application based project. The entire scripting is done using Python 3 programming language. Keywords: image classification, microcontroller boards, python, AI, deep learning, neural network
뉴 노멀 시대의 빅 데이터 분석을 통한 화장품 트렌드에 대한 연구

Modern society has entered the Normal with the change of smart life as innovation and development of science and technology have been incorporated into industry. In addition, as the COVID-19 pandemic has extended, contactless culture has uprisen as a new trend recently: online consumption becoming a new part of life, increased spending in health supplements and sanitation, and other changes in consumption patterns. As such, online data has accumulated and become significant in terms of interpretation of the data as with the emergence of the new trend. Even in the beauty field, it is very important to study the changes by utilizing big data. Therefore, this study used Textoms big data to analyze the frequency of a keyword cosmetics on Naver, Daum, and Google from January 19 until September 19, 2020, for research on trends in the New Normal era and to produce matrix using UCINET6 to analyze centrality, analyze semantic network, analyze topic analysis. Keyword analysis showed a result that there is high frequency in searching such keywords as Recommendations, Component, Function, Natural, Man, Acne, Mask, Online, Customizing Cosmetic, Basic, Review, which showed the importance of those words. In particular, consumers interest in ingredients is expected to increase further in the future, as individuals are more careful regarding the cosmetic ingredients due to increased awareness in environmental-friendly products. It is different from the previous research in that it is focused on the new trends in the Normal through keyword analysis (cosmetics) using big data. It encourages domestic companies to actively accept these changes and become a basis for the growth in the Beauty industry in the future and with this purpose. This report is expected to provide a basic analysis that can contribute to the domestic industrys higher managing efficiency.
Estudio De Caso: Uso De Plataforma Y Herramientas Digitales Para La Enseñanza Del Desarrollo Sostenible Dentro Del Marco De La Pandemia Del Covid-19

Proposed to achieve the paradigm shift from presential to virtual training for the training of teachers of state educational units.Faced with the pandemic, face-to-face training is impossible, therefore, the project focuses on the training of trainers for teachers, where they are in charge of training their secondary-level students in nutrition, energy and energy efficiency and agriculture issues.sustainable, everything focused through the cognitive, socio-emotional, and behavioral domains established by the ESD..The problem to be solved was "The educational units of secondary training do not have environments that promote the SDGs articulated within the A Lifetime Plan of the National Government."The project aims to contribute to education on long-term sustainable development issues through the application of a sustainability training model as a key factor for socio-economic recovery, post COVID-19.To this end, an educational platform has been developed where the didactic material for the training of trainers on issues of nutrition and well-being, energy and efficiency, and sustainable agriculture are contemplated, presented in two modalities; asynchronous and synchronous, training more than 100 teachers from secondary educational institutions .The results obtained have identified that virtual teaching can be achieved in both synchronous and asynchronous modalities can be achieved from well-structured teaching materials that capture the participation and commitment of teachers to achieve replicability to their school students.Finally, it is concluded that age is not an influential factor for the use of technology for virtual teaching, and the level of training in the framework of the ESD contributes directly to the fulfillment of the goals established in the Sustainable Development Goals [SDG].
Засоби електронної дидактики в мовній підготовці здобувачів вищої освіти

International scientific and practical conference «Pedagogy, psychology and teaching methods: international experience» : conference proceedings, July 16–17, 2021. Riga, Latvia : «Baltija Publishing», 2021. 295 pages.
Comparative Analysis Of Efficient Image Segmentation Technique For Text Recognition And Human Skin Recognition

Computer Vision and Pattern Recognition is one of the most interesting research subject on computer science, especially in case of reading or recognition of objects in realtime from the camera device. Object detection has wide range of segments, in this study we will try to find where the better methodologies for detecting a text and human skin. This study aims to develop a computer vision technology that will be used to help people with disabilities, especially illiterate (tuna aksara) and deaf (penyandang tuli) to recognize and learn the letters of the alphabet (A-Z). Based on our research, it is found that the best method and technique used for text recognition is Convolutional Neural Network with achievement accuracy reaches 93%, the next best achievement obtained OCR method, which reached 98% on the reading plate number. And also OCR method are 88% with stable image reading and good lighting conditions as well as the standard font type of a book. Meanwhile, best method and technique to detect human skin is by using Skin Color Segmentation: CIELab color space with accuracy of 96.87%. While the algorithm for classification using Convolutional Neural Network (CNN), the accuracy rate of 98%&#x0D; Key word: Computer Vision, Segmentation, Object Recognition, Text Recognition, Skin Color Detection, Motion Detection, Disability Application