Reviewerly/exHarmony huggingface dataset:
The Influence of Interactive Strategy and Student Motivation on Reading Comprehension ability of the Eighth grade Students of State Junior High School 3 of Rambang Dangku

This research was concerned with the The Influence of Interactive Strategy and Student Motivation on Reading Comprehension ability of the Eighth grade Students of State Junior High School 3 of Rambang Dangku”. In this study 60 students of Eight grade students of SMPN 3 Rambang Dangku in the academic year 2020/2021 were chosen as samples by means of two stage random sampling. This study applied factorial research design. The data were collected by using questionaire and test. The data were analyzed by using Paired Sample t-test, Independent Sample t-test, and Two-Way ANOVA. The results showed that, first, there was a significant influence in students’ reading comprehension taught by using intertactive strategy technique. Second, there was not any significant influence in students’ reading comprehension taught by conventional teaching technique. Third, there was significant influence in students’ reading comprehension students who have high and low learning motivation by using intertactive strategy technique and conventional teaching technique. Last, there is not any significant interaction effects of motivation on students’ narrative text comprehension taught by using intertactive strategy technique and learning motivation towards the students’ reading comprehension of SMPN 3 Rambang Dangku. So, intertactive strategy technique was effective for students who have high and low learning motivation.
Face Recognition Based Attendance Record System

In today’s world, face recognition is the type of biometric that is used in almost every field. This technology is used for security purposes and can be used in many verification and security system. Though it is less efficient than eyes recognition and fingerprint recognition, is still in market due to its untouchability and non-intrusive method. Besides, face recognition should also be utilized for attendance checking in schools, colleges, offices, etc. Face Recognition method pivot to build up a class attendance system which uses the idea of face recognition as present hand done attendance process is lethargic and not suitable to keep. And there are chances of too much proxy attendance. Thus, the want for this method is much needed. This method involves 4 stages- database introduction, face detection, face recognition, attendance updation. The database is made by taking the snap shots of the students in elegance. Face detection and popularity is done using python opencv. Attendance is to be exported at the end of semester.
Connecting O*Net® Database to Cybersecurity Workforce Professional Certifications

The Occupational Information Network O*NET is considered the primary source of occupational information in the U.S. I explore here possible uses of O*NET data to inform cybersecurity workforce readiness certification programs. The O*NET database is used to map out education requirements and how they relate to professional certifications as required by employers and job designers in accordance with the National Initiative for Cybersecurity Careers and Studies (NICCS). The search focuses on the “Information Security Analysts” occupation as listed on O*NET, Careeronestop, U.S. Bureau of Labor Statistics (BLS), and finally tied back to NICCS source work role to identify certifications requirements. I found that no site has listed any certification as required, desirable or mandatory. NICCS offered general guidance to potential topics and areas of certification. Careeronestop site provided the ultimate guidance for this role certification. Professional certifications are still not integrated in the Cybersecurity Workforce Framework official guidance.
Challenges In Education During Pandemic: Transformation Of Pupil And Teacher Interaction

The rhythm of modern life requires from a human to be resilient and ready for challenges in order to be able to develop knowledge and skills successfully and adapt to needs of labour market.Knowledgeable and professional teachers' pedagogical activity is based on political guidelines set by the Latvia State towards a knowledge-based society.In the publication challenges and contradictions in distance learning process provision during the pandemic have been analysed, highlighting potential and impact of digitalization on intervention of subjects involved in the transformation context.Research priority and topicality have been focused on both the amount and quality of knowledge and wellbeing of subjects involved in the learning process, as they are important human resources and preconditions in order to promote individual and national growth, implementing entrepreneurship or creating new practical/theoretical knowledge.Goal of the article is to identify transformation factors affecting quality of distance learning process in the learning process and pedagogical communication digitalization, describing the most essential contradictions and potential resources for the enhancement of pedagogical interaction efficiency.In the research EDURIO survey platform has been applied which guarantees credibility of obtained results and provides a more profound data analysis.Target audience of the survey are teachers, pupils and parents.In the publication suggestions as the research results are offered to the responsible specialists of Liepaja City Municipal Education Department and city administration for highquality development of school collectives in the implementation of pedagogical processes of digital transformation in their daily work.
AN ANALYTICAL STUDY OF THE INDICATORS OF ECONOMIC DEVELOPMENT AND AGRICULTURAL DEVELOPMENT IN KUWAIT( In Aabic)

The current study aims to study the indicators of economic and agricultural development in Kuwait, and the study reached the following results: The instability in the national income in Kuwait during the period (2000-2018), as the values ​​of the national income fluctuated between increase and decrease during that period, and the annual rates of change during that period ranged between -26.61% in 2009 and 2015 and 36.74% in 2005, and by studying the general time trend of the development of national income in Kuwait through the simple linear regression equation, the following became clear: that the regression coefficient amounted to 7.10
Model Design and Proposal for the Development of a Learning Status Diagnostic Tool at a Christian University

The purpose of this study was to analyze various factors that influence the academic life of students through a theoretical review. As a result of the analysis, sub-factors were derived to diagnose the factors. From the study’s findings, principles and models for developing learning status diagnosis tools were designed. The study first, based upon the competencies of university students, university life, students' low academic achievement, and academic probation studies, confirmed what factors affect student learning and from them derived a set of sub-factors. The setting dimension was divided into psychology, learning, and career factors, while also including a factor of faith for Christian university students. Next, in the draft model, sub-factors were constructed for each factor: faith maturity and faith training in the faith factor, positive thinking, emotion regulation, and self-esteem in the psychology factor, self-directed learning ability, learning motivation, and learning strategies in the learning factor, and career reflection, career exploration, career management, and career barriers in the career factor. By using the Delphi method, the final model of learning status diagnosis was confirmed. As a result, we completed the model comprised of nine sub-factors in four parts. A follow-up study should be conducted that examines learning status diagnosis tools development research.
Design and development of DrawBot using image processing

Extracting text from an image and reproducing them can often be a laborious task. We took it upon ourselves to solve the problem. Our work is aimed at designing a robot which can perceive an image shown to it and reproduce it on any given area as directed. It does so by first taking an input image and performing image processing operations on the image to improve its readability. Then the text in the image is recognized by the program. Points for each letter are taken, then inverse kinematics is done for each point with MATLAB/Simulink and the angles in which the servo motors should be moved are found out and stored in the Arduino. Using these angles, the control algorithm is generated in the Arduino and the letters are drawn.
Students’ Reading Comprehension in Descriptive Text

This research is discussing about the students’ reading comprehension of the second year MTs.Muhammadiyah 22 Padangsidimpuan. This research employed descriptive quantitative research. Based on the result of the research, researcher got the description of the data was found that mean score was 56.76. It means that the students’ reading comprehension of the second year MTs.Muhammadiyah 22 Padangsidimpuan was categorized into enough ability. Then, from the result of the hypothesis testing, the researcher found that Zcount =-3.57Ztable 0.3264. It means the hypothesis was rejected. Thus, the result of mean scores the students’ ability in enough ability and actually it should be accepted hypothesis, but based on the result of that score it is rejected. So, maybe there is a mistake in instrument or in calculation.
Increasing Students’ Reading Comprehension Through Gamification Based on Balinese Local Stories

Industrial revolution 4.0 has transformed today's classroom.The demands of implementing innovative teaching media are needed.This research aims at increasing students' reading comprehension through gamification based on Balinese local stories.We implement Quasi-experimental research with one group pre-test post-test design in this research.The sample was 31 fifth grade students of elementary school 5 Kampung Baru in academic year 2019/2020.Two instruments were implemented in this study, that is, treatment instrument and pretest posttest instrument.The treatment instrument was gamification based on Balinese local stories, while the pretest and posttest instrument were in the form of objective questions for reading comprehension.The result showed that gamification based on Balinese local stories was able to increase students' reading comprehension.Gamification based on Balinese local stories as teaching media are suggested to be used as teaching media in teaching reading comprehension.
English Teachers’ Strategy in Teaching Writing Descriptive Text to Students of All-Grades at Junior High School

This research was aimed at describing the extent to which strategy does the teachers use in teaching descriptive writing to students at Junior High School and finds out the reasons underlying the teachers using certain theory. The strategy which the teachers use was analyzed by following the theory of Johns’ Scaffolding Strategy (2010). Scaffolding Strategy divided into Explicit Implementation consist of three types namely (1) modeling; (2) joint negotiation and (3) independent construction. And the other one is Implicit Implementation which consists of four types namely (1) dimly felt of sense; (2) begin composing; (3) course composing and (4) external feedback. The data was analyzed following Miles and Huberman theory of qualitative research (1994). The research findings showed that, the English teachers are using all three types of explicit implementation and only one type of implicit implementations, namely external feedback. And the reasons underlying teachers using these implementations are (1) the teachers want to vivid students’ knowledge about the generic structure, language features and social functions of descriptive text, (2) teachers want the students to understand more and get familiar with descriptive text in real life, (3) teachers wants to know students’ ability in applying their knowledge of descriptive text on their own-making descriptive text and (4) enlighten students on how to criticize their friends’ work.Keywords: Descriptive, scaffolding, explicit implementation, implicit implementation
Multi-Pair Text Style Transfer for Unbalanced Data via Task-Adaptive Meta-Learning

Text-style transfer aims to convert text given in one domain into another by paraphrasing the sentence or substituting the keywords without altering the content.By necessity, state-ofthe-art methods have evolved to accommodate nonparallel training data, as it is frequently the case there are multiple data sources of unequal size, with a mixture of labeled and unlabeled sentences.Moreover, the inherent style defined within each source might be distinct.A generic bidirectional (e.g., formal ⇔ informal) style transfer regardless of different groups may not generalize well to different applications.In this work, we developed a task adaptive meta-learning framework that can simultaneously perform a multi-pair text-style transfer using a single model.The proposed method can adaptively balance the difference of meta-knowledge across multiple tasks.Results show that our method leads to better quantitative performance as well as coherent style variations.Common challenges of unbalanced data and mismatched domains are handled well by this method.
ENGLISH LEARNING EXPRESS SEBAGAI UPAYA MENINGKATKAN MINAT BELAJAR BAHASA INGGRIS MURID SEKOLAH DASAR NEGERI 97 INPRES TELLUMPANUAE KECAMATAN MALLAWA KAB. MAROS, SULAWESI SELATAN

ABSTRACT&#x0D; Learning English at an early age has advantages both biologically and psychologically. Departing from these advantages, the Indonesian government through the Basic Education Curriculum establishes English as a local content that begins to be taught in grade four elementary schools, because English language skills are important enough to be mastered by all levels of society in the global era. In an effort to help make this happen, a community service program in the form of Express English Learning was carried out by training elementary school students in English. This activity was carried out at SDN 97 Inpres Tellumpanuae, Mallawa District, Maros Regency, South Sulawesi. This activity is carried out as an effort to provide English lessons for elementary school students so that they can apply it in every formal and non-formal activity. Besides, this activity is expected to increase students' knowledge and interest, and realize the importance of learning foreign languages, especially English, to increase the nation's competitiveness in the global community. From the results of this activity, it can be concluded that the Express English Learning program can help the primary students gain insight and increase their interest and learning outcomes in learning English.&#x0D; Keywords: Basic English, Express Learning, Learning Interest
Evaluasi Teknik Filtering Contrast Enhancement dan Edge Sharpening untuk Pengolahan Citra Ultrasonografi Prostat

One of the modality to detect prostate’s abnormalities is ultrasonography (USG). Indonesia still relies on 2D USG images despite its weaknesses. In this research, image processing called Computer-Aided Diagnostic (CAD) was performed on 2D USG prostate images. This research is a basic CAD research to improve the quality of 2D USG images with various combination of image procesing methods. Evaluation of the processed images are performed by not only SNR method, but also evaluation from clinicians. Twenty prostate images were used with normal and abnormal diagnosis. Image processing methods used are median filter, wiener filter, gaussian filter, CLAHE (Contrast Limited Adaptive Histogram Equalization) contrast enhancement and image sharpening. Those methods were combined so there are three combinations to be evaluated. Among 3 combinations, gaussian filter combination has the highest SNR in normal and abnormal images. But, qualitative evaluation performed by clinicians shows that median filter combination has the best visualization of prostate capsule and prostate size. Evaluation from comparing pixel value and prostate size between normal and abnornal images shows that median filter combination has the biggest differences, 13.11, makes it the best combinaton to show different visualization of normal and abnormal prostate.
Digital Photo Frame Printing using 3D Printer

3D printing gives life to all your best projects. Do you know that it could also give life to your picture? Yes, you read it right, if you have a picture of it then you can turn it into a 3D model and 3D print it! From 1 to 100 hundred pictures, several effective solutions are available to help you convert photos into a 3D model.
Analysis of the Ability to Read the Understanding of Narrative Discussion in Grade V SD Negeri 1 Pinang Indah Kecamatan Sungai Menang Ogan Komering Ilir District

The purpose of this study is to define and explain the reading comprehension skills of narrative discourse in fifth grade SD Negeri 1 Pinang Indah students.The data for this analysis were 20 Pinang Indah Grade V SD students.The instrument used for the analysis was a research instrument in the form of an essay test.The results of the data analysis of this study were collected from the 85% theme aspect and it was reported that they were unable to understand the theme of the short story.In terms of flow, students who are classified as being able to understand the flow factor hit 90%.In character and characterization aspects, 1 student scored less than 70 per cent and was declared capable of understanding characters and characterizations in short stories up to 95 per cent.In the background, 4 students scored less than 70 with a 20 per cent percentage and were declared capable of understanding the setting in a short story of up to 80 per cent.In terms of mandate, there are 7 students who score 80 and 13, who score 100 and are considered qualified.
A Visual Analytics Interface for Formulating Evaluation Metrics of Multi-Dimensional Time-Series Data

A visual analytics (VA) interface for formulating evaluation metrics of multi-dimensional time-series data is proposed. Evaluation metrics such as key performance indicators (KPI) are expected to play an important role in quantitatively evaluating current situations and the quality of target objects. However, it is difficult for even domain experts to formulate metrics, especially for data with complexity related to dimensionality and temporal characteristics. The proposed interface is designed by extending the concept of semantic interaction to consider the temporal characteristics of target data. It represents metrics as a linear combination of data attributes and provides a means for adjusting it through interactive VA. On an animated scatter plot, an analyst can directly manipulate several visualized objects, i.e., a node, a trajectory, and a convex hull, as the group of nodes and trajectories. The result of manipulating the objects is reflected in the linear combination of attributes, which corresponds to an axis of the scatter plot. Using the axes as the output of the analysis, analysts can formulate a metric. The effectiveness of the proposed interface is demonstrated through an example and evaluated by two user experiments on the basis of hypotheses obtained from the example.
PERANCANGAN SISTEM INFORMASI PENGELOLAAN KEUANGAN PADA PT. NAULI TOUR &amp; TRAVEL

PT. Nauli Tour &amp; Travel is a company engaged in the tourist travel section located in Medan, North Sumatra. PT. Nauli Tour &amp; Travel is here to serve customer needs for tourism services. Therefore, PT. Nauli Tour has some data that require computerized data management so that the information generated can be maximized. One of the things that require computerized data management is financial data management, where financial data is one of the most important assets in any company. Computerized management of financial data must also be accompanied by better security so that its security is guaranteed. The process of managing financial data at PT. Nauli Tour &amp; Travel is currently computerized, but financial data management is carried out at Microsoft Exel so that the security of the financial data is still lacking. In this research, the writer will design an information system that can be used by PT. Nauli Tour &amp; Travel in managing financial data so that the information generated is maximized.
A Survey: Cognitive Computing: Architecture Technologies and Intelligent Applications

With the development of network-enabled sensors and artificial intelligence algorithms, various human-centered smart systems are proposed to provide services with higher quality, such as smart healthcare, affective interaction, and autonomous driving. Considering cognitive computing is an indispensable technology to develop these smart systems, this paper proposes human-centered computing assisted by cognitive computing and cloud computing. First, we provide a comprehensive investigation of cognitive computing, including its evolution from knowledge discovery, cognitive science, and big data. Then, the system architecture of cognitive computing is proposed, which consists of three critical technologies, i.e., networking (e.g., Internet of Things), analytics (e.g., reinforcement learning and deep learning), and cloud computing. Finally, it describes the representative applications of human-centred cognitive computing, including robot technology, emotional communication system, and medical cognitive system.
Distracted Driver Behaviour Recognition with Computer Vision using Deep Convolutional Neural Network in Real World Application

Distraction of drivers while driving on roadways results in the death of 1.2 million people, approximately every year around the globe. Even though there are several improvements made in road and vehicle design, the total number of accidents is higher. In 2015, 3,477 people were dead and 3,91,000 were injured during motor vehicle crashes associating distracted drivers. Our paper is aimed to prevent and reduce the rate of motor vehicle accidents that are caused by human errors and distraction during driving. We study the different postures of the driver by means of the hand localization, skin segmentation and facial data. In our paper, we propose a reliable deep-learning CNN model that attains 92% accuracy.
HUMAN DETECTION AND MOTION RECOVERY BASED ON MONOCULAR VISION

ABSTRACT Objective: Provides interactive games and human animation real motion data and technical options. Therefore, how to complete the position, attitude detection, and motion recovery under monocular vision has become an important research direction. Methods: This paper improves the part-based human detection algorithm and uses the AdaBoost multi-instance learning algorithm to train the part detector. Results: The results show that obtaining blood pressure waveform based on monocular vision pulse wave is feasible and has generalization. Conclusions: The results show the feasibility and accuracy of the gait motion detection, motion recovery and analysis system for human lower limbs based on monocular vision. Level of evidence II; Therapeutic studies - investigation of treatment results.
Institutional Repository as a Knowledge Management Tool for the Enhancement of Library Visibility in the 21st Century

The chapter focused on the institutional repository as a knowledge management tool that enhances the visibility of libraries in the 21st century. The researcher mainly relied on content analysis to gather research data. The researcher took a swipe on the uptake of institutional repositories the world over and an analysis of how an institutional repository could be used as a knowledge management tool was done. The researcher also conducted a situational analysis of the MSU institutional repository and assessed the impact of the digital repository on the visibility of the library. The author used the Webometrics Ranking of Universities in Zimbabwe to assess how universities are ranked in Zimbabwe.