Reviewerly/exHarmony huggingface dataset:
MEDIA PAPAN KAIN FLANEL UNTUK MENCEGAH KEBOSANAN SISWA DALAM PROSES PEMBELAJARAN UNTUK MENDUKUNG PROGRAM GO GREEN DI SD NEGERI SEMANTEN

The purpose of this study is to describe the flannel board media by replacing learning books to prevent student boredom and reduce the use of plastic and is environmentally friendly. The method used is a qualitative approach with a descriptive type. Data collection techniques using interviews, observation, and documentation. Interviews were addressed to fifth-grade teachers, students, and guardians. Observations were made to determine the implementation of social studies learning at SD Negeri Semanten class V. The findings before the application of flannel board media students lacked focus on learning and felt bored, causing less efficient learning. After the application of flannel board media, student boredom can be reduced and student activity can be seen in the learning process. For learning that supports the go green program, namely by replacing the media material from plywood, it is replaced with cork, besides that students' creativity is also seen and the flannel board learning media can be used as alternative learning in class V theme 4, sub-theme 1.
Multimedia technologies usage in the philology teacher’s professional activity

The article raises topical issue of the multimedia technologies usage in the philology teacher’s professional activity. It has been determined that under conditions of the Ukrainian society democratization essentially increases the importance of pupils’ spiritual and moral education, therefore the requirements to the quality of philological subjects teaching, which in this way have considerable pedagogical potential, considerably increase. One of the effective ways to solve this problem is to introduce modern multimedia technologies to educational process. It is specified that modern multimedia technology in the educational field is a software and hardware system that by combining various means of audio, TV, visual and virtual communications creates a compound informational and educational environment. It has been found that scientific literature offers different approaches to the multimedia technologies classification. Thus, according to the method of perception the context, visual, audio, audiovisual technologies are distinguished, according to the methodical purpose – demonstration, mentoring, training, controlling, reference, modeling, game, leisure. Each of the technologies mentioned has wide opportunities to increase the efficiency of philological subjects teaching. It has been established that while choosing a specific multimedia technology for a lesson by a philology teacher one should consider features of learning philological subjects by pupils, such as: object and subject of philological sciences is a personality; important result of the philological subjects context acquiring is accumulating the experience of expressing subjective emotional and valuable attitude to different aspects of human being; the process of philological subjects learning cannot be explained as a clear algorithm, because the holistic perception of an object is the reason to its understanding; the mentioned subjects learning by the pupils seriously influences their individual environment and motivates to self-improvement. It has been demonstrated that the scientifically proved multimedia technologies usage preserves the increase of the pupils’ development processes efficiency in reading, writing, listening and building language lexical and grammar skills.
Models for risk assessment and stratification

This chapter addresses the development of innovative algorithms and models, with particular application to risk assessment, stratification, and prognosis in the context of cardiovascular diseases. The main hypothesis is that patients who have experienced similar behaviors (having the same risk factors or same characteristics) will have a similar diagnosis or prognosis. Therefore the chapter starts by reviewing fundamental concepts addressing patient clustering and similarity assessment. Then two main applications are investigated: risk assessment and stratification to appropriately group populations according to their risk and risk progression to estimate the risk evolution of a particular condition. The final goal is the implementation of innovative solutions that are able to support professionals in the health management through the person’s life, with particular application to situations of preventive medicine and chronic disease management, in particular, heart failure and coronary artery disease.
PERAN ORANG TUA DALAM MENINGKATKAN KUALITAS PENYAMPAIAN MATERI GURU MELALUI MEDIA BELAJAR VIA DARING

Research related to the role of parents in increasing the effectiveness of delivering teacher material through offline learning media was carried out with the objectives of 1. To understand the role of parents during Covid-19, 2. To know the media and learning resources during Covid-19, 3. To analyze the role of people know in delivering teacher material during Covid-19. The Covid-19 pandemic has forced the government to carry out several emergency policies, one of which is Learning From Home (BDR). In this BDR activity, parents become a bridge of knowledge from teacher to child, so parents play an important role in online learning. Parents and teachers are expected to have good communication so that teaching and learning activities for children are not disturbed and can run. The government is expected to pay attention to the obstacles experienced by students, teachers, and parents.
Recognising the Service of our Reviewers

British Journal of ManagementVolume 31, Issue 3 p. 659-662 Thanks to reviewers Recognising the Service of our Reviewers First published: 09 July 2020 https://doi.org/10.1111/1467-8551.12420Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Volume31, Issue3July 2020Pages 659-662 RelatedInformation
PENGGUNAAN MEDIA POWERPOINT INTERAKTIF UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA KELAS III SD NEGERI CORONGAN

Educational reforms can be carried out on the use of learning media. PowerPoint can be used as a learning media. The features in PowerPoint are variations in the delivery of material so that it can foster student learning motivation. The purpose of this study was to determine the increase in thematic learning motivation of third-grade students of SD Negeri Corongan using PowerPoint as a learning media. This type of research is Classroom Action Research (CAR). The subjects in this study were students of class III SD Negeri Corongan. Data collection techniques using questionnaires, observation, and documentation techniques. The results showed that the use of PowerPoint media can increase students' learning motivation. The pre-action observation had an average score of 52%. Based on the results of observations in the second cycle with a percentage of 83%. The increase in student motivation is also shown in the results of the questionnaire analysis. The results of the questionnaire in the second cycle with a percentage of 82%. Based on the results of this study, it is expected that teachers will consider the use of PowerPoint media to increase students' learning motivation in elementary schools.
Local expansion moves for stereo matching based on random sample consensus confidence

We propose an innovative stereo matching algorithm using three constraints and collaborative optimization between pixels. First, to initialize a better disparity plane, the random points will be selected using matching energy stability, disparity stability, and left–right consistency as restrictions, instead of choosing the commonly used random sample consensus (RANSAC) method, which has certain randomness and affects the final optimization. Second, for the problem that the grid-based propagation method cannot effectively propagate the labels between adjacent similar pixels and its easiness to fall into local minimums, a cooperative competition mechanism between adjacent similar pixels is proposed, and the matching energy is minimized through collaborative optimization. Third, we iteratively optimize the parallax plane parameters and minimize the matching energy function, and thus improve the stereo matching accuracy. Finally, we test our method on Middlebury V3 test set, which achieves better performance against other state-of-the-art algorithms and ranks first in the matching error <1 pixel all metric, ranks second in the matching error <0.5 pixel all metric, and ranks third in the matching error <2 pixels all metric, and further the number of iterations is reduced and the processing speed was accelerated (recorded on May 3, 2021).
Agriculture Cyber Physical System for Crop Recommendation

Abstract: Agriculture plays a significant role in the Indian economy. Agriculture employs more than 60% of India's population, and agriculture generates one-third of the country's revenue. As a result, it plays a vital part in the country's development. A variety of agricultural difficulties continue to hamper the country's progress. Choosing modern agriculture that integrates modern styles could be one solution to these issues. As a result, Agriculture Cyber Physical Systems, which combine IoT with other technologies such as Artificial Intelligence and Machine Learning, can make agriculture smarter. The Agriculture Cyber Physical System can help in increasing crop yields, reducing water waste, and reducing fertilizers overuse, among other things. This study is different in that it measures variety of aspects of the agricultural field that have a direct impact on crop choices. Second, it sends this information to a server, which then uses it to forecast farm-ready yields. Keywords: Agriculture Cyber Physical System, IOT, Artificial Intelligence, Machine Learning., etc.
Relationship between subjective well-being and living values in elementary students

The study conducted a survey and analysis of the current situation of the relationship between subjective well-being and living values according to the self-assessment of primary school students, Nguyen Binh Khiem - Cau Giay, Hanoi. The subjective well-being is selfassessed by students in 03 aspects: (1) Happiness at school; (2) Satisfaction related to self, family, school; (3) General satisfaction with school life and learning. Expression of living values is specifically assessed in 06 life values: Love, Respect, Safety, Honesty, Responsibility, Creativity. Research results show that there is a positive correlation between “feeling happy at school” with the expression of all 06 life values; 02 aspects are: “general satisfaction with life and studying at school” and “satisfaction in aspects: self, family, school” which are positively correlated with the expression of Love, Respect, Safety; there is no correlation of these two aspects with the expression of Honesty,
FUTURE ENGINEERING EDUCATORS’ PROFESSIONAL MOBILITY: CHALLENGES AND OPPORTUNITIES

The paper substantiates the rationale for professional mobility formation in engineering educators. We emphasize the importance of professional mobility as a quality parameter of future engineering educators’ training. The research outlines the main modernization tendencies in engineering and pedagogical education content contributing to future specialists’ professional mobility. The study substantiates the principle of proactive training aimed at making engineering and pedagogical training oriented towards future professional activity of higher professional education seekers. We note that proactive training is crucial in determining educational program content as well as the choice of learning activity organization forms and educational technology for the intensification of engineering and pedagogical training and professional mobility formation.&#x0D; Keywords: professional education, engineering and pedagogical education, professional mobility, engineering educator, proactive training, engineering and pedagogical training, professional education content, integrative processes.
The Copying and Indexing of Freely Accessible Internet Databases Qualifies as Extraction and Reutilization of Their Content

The Copying and Indexing of Freely Accessible Internet Databases Qualifies as Extraction and Reutilization of Their Content GRUR International, ikab127, https://doi.org/10.1093/grurint/ikab127 Published: 24 August 2021
Penerapan Algoritma C4.5 Dalam Mengklasifikasi Status Gizi Balita Pada Posyandu Desa Dames Damai Kabupaten Lombok Timur

Nutrition is very important for human growth, especially in toddlers. Lack of or excess intake of nutrients in toddlers can affect nutritional status and health status. Children who have poor nutritional status will experience a decrease in body resistance and are susceptible to disease. The problem with Posyandu in Dames Damai Village is that toddler data reports are stored in a notebook containing toddler data along with the results of weighing which is carried out every month. However, the data only becomes a pile in the houses of the cadres. There is a need for data processing which will later produce useful information for the posyandu. The C4.5 algorithm is a classification technique used in this study which consists of 4 attributes used in the classification, namely gender, age, weight and height. The accuracy results obtained are very good or quite perfect, namely 97.02% while the AUC value obtained from the decision tree is 0.928
The Effect of Using Digital Book to Ability Students’ Reading in Descriptive Text at Tenth Grade SMA Negeri 2 Rantau Selatan”.

Abstract &#x0D; This study aims to see whether there is an effect of using a digital book on the reading ability of students in class X SMA Negeri 2 Rantau Selatan. This study uses a quantitative approach with a quasi-experimental method. The population in this study were all class X-MIA SMA Negeri 2 Rantau Selatan and the sample was taken by 72 students with simple random sampling technique. The data technique used a written test in the form of an essay, the instruments used were pretest and posttest. Based on the t-test analysis using SPSS version 22 for windows, it is found that the value of t count&lt; t table (1.241&lt; 1.667). This shows that the ability to overcome students' reading skills by using digital books is better than students who use conventional learning models. Therefore, learning using a digital book can be used in implementing English learning at SMA Negeri 2 Rantau Selatan for the 2020/2021 school year.&#x0D; &#x0D;
SRL: Separation-and-Recombination Learning for Video Facial Landmark Detection with Limited Data

Recent video facial landmark detection methods heavily rely on the supervised learning with large amount of annotated data. Nevertheless, the annotation of data on the video is very labor-intensive and time-consuming. Also, the supervised learning with massive parameters is easy to make the network suffer from overfitting and generalization-losing. In this work, we propose the Separation-and-Recombination Learning (SRL) framework to tackle this problem, in which the crucial idea is to adequately mine the inherent information of the limited labeled data in a semi-supervised manner. Specifically, we split the SRL framework into two stages, a separation stage and a recombination stage. Firstly, in the separation stage, we propose to train an Auto-Encoder network, disentangling-net, taking multi-frame temporal cues as input and with reconstruction and KL-divergence loss as constraints. In this stage, we successfully disentangle the face into two weak-coupling latent spaces, i.e., structure and appearance space. Then, in the recombination stage, with the trained disentangling-net, the limited labeled data can be greatly expended as pseudo paired data, with the recombination of structure and appearance code. Finally, we train a replaceable landmark detection network, predicting-net, with the supervision of both labeled and pseudo-labeled data. In the experiment, we demonstrate state-of-the-art performance on several well-known benchmarks, i.e., 300VW [56], blurred-300VW [60] and RWMB [60] dataset. Most importantly, our method is able to maintain impressive accuracy on extremely small training sets down to as few as 50% samples.
Digital Skills That Support Researchers

This study aims to understand the role of digital skills in facilitating scientific research and guiding researchers to their method of choice, the research problem in proportion to the data of the 21 st century, and the role of digital skills in supporting researchers' rational thinking techniques and the process of their creative thinking.This study takes a suitable qualitative approach to reveal the reality of digital skills that support scientific researchers in light of technological advances.Results showed that education and technology are among the most important factors that determine future characteristics and structure of both individuals and societies.The study also explored the nature of the capabilities and skills that researchers must develop in order to have a distinct mindset when conducting their research.
DESAIN SISTEM INFORMASI PRAKTEK KERJA LAPANGAN MAHASISWA BERBASIS WEB DENGAN METODE SYSTEMS DEVELOPMENT LIFE CYCLE (SDLC)

Field Work Practice is a training facility for informatics engineering students to develop, implement and answer problems faced by their environment. The problem that occurs is where the management and data collection of student data is still carried out semi-systemically because it is recorded in a spreadsheet application so that the data is not structured properly, as a result, information from the placement/assignment process, reporting, and classification of PKL student data is less relevant, accurate and timely. and sometimes human error occurs. Therefore we need a system that is able to make it easier to manage student data from street vendors participants into relevant, accurate and timely information when needed entitled "Web-Based Field Work Practice Information System (PKL). This system is built using the CodeIgniter framework and CSS Layout Bootstrap, then this system will be tested through the blackbox method and compatibility testing. So that we get a system that is able to make it easier to manage student data from street vendors participants into relevant, accurate and timely information when needed.
FACTORS OF INFLUENCE OF CAREER SELECTION OF ACCOUNTING STUDENTS AS PUBLIC ACCOUNTANTS IN SHARIA ACCOUNTING DEPARTMENT FACULTY OF ISLAMIC ECONOMIC AND BUSINESS, STATE ISLAMIC INSTITUT TULUNGAGUNG

Based on the description from the Ministry of Research and Technology, accounting department is ranked the second most chosen 2017 SBMPTN exam participants after management majors. This happens because the notion of bright future prospects is still inherent in students majoring in accounting. A career in accounting is arguably the dream of many people. Besides having promising prospects, career advancement can be guaranteed. Plus, employment opportunities for the accounting field are very broad and wide open, one of which is as a public accountant who has a broad scope of work. This research uses quantitative approaches with types of descriptive research. The data was collected through a questionnaire method with a purposive sampling technique. The amount of sample used in this study was 130 respondents. Where the responses are students of semester 5 and 7 of Sharia accounting department of the State Islamic Institute Tulungagung. Furthermore, the questionnaire data that has been obtained is subsequently analyzed with multiple linear regression with provisions that have fulfilled the validity test, reliability test and classic assumption Test, then analyzed by T-Test and F-Test. The results of this study indicate that: Professional training and social values results positively and significantly in the career selection of accounting students for public accountants; Professional recognitionand work environment research does not influence this factor does not influence accounting students in choosing a career as a public accountant; Social values ​​are considered as the most dominant factor influencing accounting students in career selection as a public accountant.
Urdu News Clustering Using K-Mean Algorithm On The Basis Of Jaccard Coefficient And Dice Coefficient Similarity

Clustering is the unsupervised machine learning process that group data objects into clusters such that objects within the same cluster are highly similar to one another. Every day the quantity of Urdu text is increasing at a high speed on the internet. Grouping Urdu news manually is almost impossible, and there is an utmost need to device a mechanism which cluster Urdu news documents based on their similarity. Clustering Urdu news documents with accuracy is a research issue and it can be solved by using similarity techniques i.e., Jaccard and Dice coefficient, and clustering k-mean algorithm. In this research, the Jaccard and Dice coefficient has been used to find the similarity score of Urdu News documents in python programming language. For the purpose of clustering, the similarity results have been loaded to Waikato Environment for Knowledge Analysis (WEKA), by using k-mean algorithm the Urdu news documents have been clustered into five clusters. The obtained cluster’s results were evaluated in terms of Accuracy and Mean Square Error (MSE). The Accuracy and MSE of Jaccard was 85% and 44.4%, while the Accuracy and MSE of Dice coefficient was 87% and 35.76%. The experimental result shows that Dice coefficient is better as compared to Jaccard similarity on the basis of Accuracy and MSE.
[Introduction of landmarking approach and its application in dynamic prediction].

Conventional prediction model, as a static prediction model, can be only used to predict the probability of the occurrence of an event during the observation period using the information available at baseline survey. However, based on current clinical demands, dynamic prediction, which obtains prediction probabilities for both baseline survey and later time points given the history of the events and covariates up to that time, is gaining a growing attention. As a dynamic prediction model, the landmarking approach is simple, easy to use, computationally efficient and has a comparable performance of joint modeling, which makes it to be widely used in recent researches. Because of its limited application in China, this paper makes a brief introduction of its ideas and basic application to further promote its applications in clinical dynamic prediction.传统的生存预测属于“静态预测”，即其只能利用基线暴露信息预测结局的发生情况。而目前出于临床研究实际需求，越来越多的研究者开始关注“动态预测”，该方法能利用截至预测起点（界标时点）的暴露信息对预测模型进行更新，从而实现对患者结局的动态预测。界标模型即一种动态预测模型，其结构简单、容易实现、计算效率高，且其性能与相较之下更为复杂的联合模型相近，目前已得到广泛应用。但其在国内的应用仍较少，本文从界标模型的基本思想出发，通过案例简要介绍其应用方法，以期促进其在临床生存分析动态预测场景中的应用。.
The pragmatic marker ‘ya’ in Indonesian Chinese: Perspective of language contact

Indonesia is a multilingual country, and languages always have an impact on each other in the process of language contact.The present work intends to investigate the influence of Indonesian on Indonesian Chinese based on the functional variation of 'ya' in Indonesian Chinese.Different from Mandarin Putonghua, Indonesian Chinese 'ya' serves as a pragmatic marker that has the functions of positive response, as a tag question or a discourse marker.It plays a role in repairing discourse, summarizing discourse, and responding to discourse, and the most important function is to establish unity which can be explained from the language contact.Indonesian social and cultural values and the status of Chinese phonology and lexicology are another aspect of reasons.