Reviewerly/exHarmony huggingface dataset:
Pengembangan Pola Berpikir Sistematis Melalui Pengenalan Pemrograman Visual Pada Peserta didik Tingkat Menengah Atas

Systematic thinking is a process of thinking that should be introduced from early age. While developing such thinking, students will learn how to solve a task by breaking it down to smaller tasks and complete them one by one. There are many activities that can support such thinking. One of them is to program visually. Visual programming is usually featured with drop-down blocks where students are only required to choose which process or logic needed than then put them in the play board. A training of such activity was done in a high school at Bandung, Indonesia with Scratch. Students were first introduced with Scratch, a software that is expected to help them think systematically. For conducting the training itself, several stages were followed. It started with introduction, and then followed by lecture and case-based practice. To engage students with the practice, the case study is COVID-19 where students are expected to deliver relevant information creatively, such as developing a game of social distancing, spray vs virus, etc. Evaluation shows that via this training, students were able to further develop their own systematic thinking via the creation of Scratch projects. Further, they believed that this training is interesting and can help them to study in the high school.
The use of EdPuzzle to learn polynomial factorization in Secondary Education

INTRODUCTION. One of the main objectives of Mathematics education is to motivate students since their interest in Mathematics is very low in many cases and, in others, even null. The use of different technologies has grown a lot in the last decades and several authors in the area have demonstrated their effectiveness in the classroom. In addition, the use of different Information and Communication Technologies, which students can use in their own homes, is also growing. METHOD. In this study, the use of the EdPuzzle application is presented, under the paradigm of the Flip Learning methodology in the third year of the Secondary Education Level for learning polynomial factorization in a school in Spain in two different courses, taught by the same teacher. To carry out the experience, the average grades of two exams have been taken, the first one related to polynomials and the basic concepts, used as a pretest since it has the main basic concepts that the student must know before continuing, and another related to the polynomial factorization, used as a posttest, and the scores obtained by the group that used EdPuzzle were comparedwith those that did not use it. RESULTS. Comparison of both groups shows that the scores are significantly higher in the group that used EdPuzzle in the posttest. DISCUSSION. The Cohen’s d effect size obtained was almost medium, and the questionnaire answers were positive, aspects that make EdPuzzle a tool to be considered in the teaching-learning process of Mathematics.
INFANT HOSPITAL LIBRARY

&#x0D; The child, when hospitalized, loses the freedom to play, as he is accustomed to, for being confined in a hospital environment, subject to a medical treatment that can cause pain and fear. The adult who accompanies needs information about the disease and the treatment of the child. The infant hospital library attempts to meet the needs of both of its users. However, such a library has not been thoroughly considered for scientific inquiry. Hence, this paper investigates its structure and actions by addressing three subjects as follows. First, a software was developed specifically for this type of library, which registered the catalog, users and loans data of two years of service of a voluntary infant hospital library in a Brazilian state public hospital. Then, an exploratory study of the reading preferences of the users while hospitalized was carried out, whose findings follow. Adults play an important role in encouraging and assisting recreational reading, which occurred in all age groups of a child and similarly between genders. Furthermore, users preferred to read literature, religious and comic books in their native language that generally consist of short stories. Finally, collection development policies were determined based on the users’ reading preferences.&#x0D;
Electronic Engineering English Course for Master's Students

The article describes Electronic Engineering English course for master&#x0027;s students. The approach of the course includes the support and activity of forming competencies. It is a universal function for solving professional and research problems of the future electronic engineers&#x0027; successful professional activity.
Detection of Text in Videos Using Discrete Wavelet Transform and Gradient Difference

Text detection in video frames provide highly condensed information about the content of the video and it is useful for video seeking, browsing, retrieval and understanding video text in large video databases. In this paper, we propose a hybrid method that it automatically detects segments and recognizes the text present in the video. Detection is done by using laplacian method based on wavelet and color features. Segmentation of detected text is divided into two modules Line segmentation and Character segmentation. Line segmentation is done by using mathematical statistical method based on projection profile analysis. In line segmentation, multiple lines of text in video frame obtained from text detection are segmented into single line. Character segmentation is done by using Connected Component. Analysis (CCA) and Vertical Projection Profile Analysis. The input for character segmentation is the line of text obtained from line segmentation, in which all the characters in the line are segmented separately for recognition. Optical character recognition is Processed by using template matching and correlation technique. Template matching is performed by comparing an input character with a set of templates, each comparison results in a similarity measure between the input characters with a set of templates. After all templates have been compared with the observed character image, the character’s identity is assigned with the most similar template based on correlation. Eventually, the text in video frame is detected, segmented, and processed to OCR for recognition.
An Improved Rasa for Load Balancing in Cloud Computing

Cloud is specifically known to have difficulty in managing resource usage during task scheduling, this is an innate from distributed computing and virtualization. The common issue in cloud is load balancing management. This issue is more prominent in virtualization technology and it affects cloud providers in term of resource utilization and cost and to the users in term of Quality of Service (QoS). Efficient procedures are therefore necessary to achieve maximum resource utilization at a minimized cost. This study implemented a load balancing scheme called Improved Resource Aware Scheduling Algorithm (I-RASA) for resource provisioning to cloud users on a pay-as-you-go basis using CloudSim 3.0.3 package tool. I-RASA was compared with recent load balancing algorithms and the result shown in performance evaluation section of this paper is better than Max-min and RASA load balancing techniques. However, it sometimes outperforms or on equal balance with Improved Max-Min load balancing technique when using makespan, flow time, throughput, and resource utilization as the performance metrics.
Srednekanskaya dike gold deposit in the northeast of Russia

This paper presents the results of a comprehensive material composition study of the host rocks and ores of the Srednekanskaya dike deposit. It has been found that the ores had been formed in several stages, namely, the metamorphogenic, hydrothermal-metasomatic (productive), and hypergene stages. At the same time, a decisive role in the formation of the gold mineralization was played by structural controls that are present in the form of breccias and hydrothermalmetasomatic alterations of rocks with gold deposition in the weakened zones. The prevailing features of gold mineralization of the Srednekanskaya dike are as follows: concentration of the bulk of gold in the vein material; predominant coarse gold occurrence as massive plates, lumps, and open-worked films; filling of interstitial openings in quartz, arsenopyrite, and pyrite with fine gold; native gold in quartz veins and quartz-carbonate-feldspar breccias localized in microdiorites confined to both arsenopyrite and pyrite and native gold associated with diorite-porphyry confined only to arsenopyrite, as supported by the geochemical data. Process studies have been carried out and the efficiency of Srednekanskaya dike ore processing by gravity methods has been established, with the gold recovery reaching 90 %. A recommended process flow sheet is presented.
Current Status and Goals of University Writing Education and Writing-Clinic. : Focusing on the Case of University of Seoul

이 글은 서울시립대학교에서 이루어지고 있는 ‘글쓰기’ 수업 운영방식을 포괄적으로 소개하고, 그 지향점을 고찰하는 데 목적을 둔다. 이 목적을 달성하기 위해 먼저 현재 서울시립대학교의 글쓰기 교육 체계가 어떤 과정을 통해서 구축되었는지를 살필 것이다. 두 번째로 실제 서울시립대학교에서 글쓰기 교육이 주차 별로 어떤 내용을 중심으로 이루어지고 있는지, 그래서 구체적으로 학생들에게 어떤 과제가 부여되고 어떤 점을 중심으로 하여 첨삭이 이루어지는지를 살필 것이다. 마지막으로 서울시립대학교는 첨삭제도가 있어서 T.A.가 교수자의 첨삭을 돕는다. 이 제도의 시행과정을 살피는 것도 글쓰기 교육의 현장을 드러내는 데 유의미하다고 하겠다. 이상의 논의들을 바탕으로 하여, 서울시립대학교에서 글쓰기 교육이 보다 효율적으로 진행되기 위해서는 첫 번째 ‘인문사회’와 ‘과학기술’ 두 영역으로 나뉘어 운영되는 것을 확대해야 한다. 예체능 계열에 속한 학생들을 ‘예체능 계열’로 따로 그룹화해서 운영할 필요가 있겠다. 두 번째 온라인 글쓰기 클리닉 제도의 접근성을 높여서 학생들이 수시로 이 제도를 활용할 수 있게끔 만들어야 한다. 세 번째 첨삭조교에 대한 교육과 더불어 첨삭 수당을 높여야 한다. 학생들과 첨삭조교의 만족도를 동시에 높이려면 경제적인 투자가 불가피할 것이다. 네 번째 교수자마다 글첨삭 및 평가기준이 달라서 서울시립대학교만의 특성을 담은 표준첨삭표를 만들 필요가 있다. 이러한 문제점을 보완한다면 보다 효율적인 글쓰기 교육이 이루어질 것이다.The purpose of this study is to provide a comprehensive introduction to the method of writing classes at the University of Seoul and to examine its direction. To achieve this goal, I will first examine how the current writing education system of University of Seoul has been established. Secondly, I will look at what writing education is being conducted every week at University of Seoul, so specifically, what tasks are assigned to students and what points are focused on correction. Finally, the University of Seoul has an editing system (T.A.) to help teachers to write. The examination of the implementation process of this system is also meaningful in revealing the field of writing education. Based on the above discussion, in order for writing education to proceed more efficiently at University of Seoul, it must be expanded beyond the existing two fields, Humanities Society and Science and Technology. It is necessary to bind the students belonging to the arts and physical education department separately into the arts and physical education department. Secondly, an online Writing-Clinic system should be made more accessible to students so that they can use it any time. Thirdly, the correction allowance should be increased along with education on correction assistants. Economic investment will be inevitable to increase the satisfaction of students and correctional assistants. Fourthly, it is necessary to make a standard correction table that contains the characteristics of University of Seoul. This is because each professor has different standards for writing correction and evaluation. By complementing these problems, more efficient writing education will be achieved.
E-MORB and OIB petrogenesis investigated with machine learning

Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v1]E-MORB and OIB petrogenesis investigated with machine learningAuthorsZacharyErikseniDSteinJacobsenCharlesLangmuirJunjieDongiDMatthewBrennaniDJesseGuiDSee all authors Zachary ErikseniDCorresponding Author• Submitting AuthorHarvard UniversityiDhttps://orcid.org/0000-0002-3626-4062view email addressThe email was not providedcopy email addressStein JacobsenHarvard Universityview email addressThe email was not providedcopy email addressCharles LangmuirHarvard Universityview email addressThe email was not providedcopy email addressJunjie DongiDHarvard UniversityiDhttps://orcid.org/0000-0003-1114-9348view email addressThe email was not providedcopy email addressMatthew BrennaniDHarvard UniversityiDhttps://orcid.org/0000-0001-5954-5660view email addressThe email was not providedcopy email addressJesse GuiDHarvard UniversityiDhttps://orcid.org/0000-0002-6625-6346view email addressThe email was not providedcopy email address
Analisis Faktor-Faktor yang Mempengaruhi Keberhasilan Studi Mahasiswa di PTKIN Provinsi Jawa Tengah

This study aims to determine the factors that influence academic achievement and student study period. The method used in this research is ex-post facto qualitative research, with a comparative model that compares several similar variables. The sample involved was 398 students from five State Islamic Universities in Central Java. Samples were selected using the random sampling method. Data collection techniques used are observation and documentation. The data obtained were analyzed using one-way ANOVA and multiple linear regression. The results showed that: (a) Only two of the six factors had a significant effect on student achievement, that was gender and the new student’s admission way. (b) There were four of the seven factors that significantly affected the study period, that was gender, type of high school, GPA, and PMB wayway. (c) There was a significant difference in student achievement in terms of the new student’s admission way. The highest academic achievement (GPA) was achieved by students who are accepted through the National Academic Achievement Selection Wayway of State Islamic Religious Colleges with an average of 3.61. d) There was a significant difference in the study period in terms of the wayway for new students. The fastest study period was reached by students who were accepted through the State Islamic Religious College Entrance Examination way with an average of 8.5 semesters. (e) There was a very significant negative correlation (sig. = 0,000) between the GPA and the study period, which means that the higher the student GPA, the faster the study period.
News: PhotonicsViews 6/2021

PhotonicsViewsVolume 18, Issue 6 p. 4-10 NewsFree Access News: PhotonicsViews 6/2021 First published: 03 November 2021 https://doi.org/10.1002/phvs.202170602AboutPDF ToolsExport 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 Volume18, Issue6December 2021/January 2022Pages 4-10 RelatedInformation
On Readability

&lt;strong&gt; Readability &lt;/strong&gt; is the ease with which a reader can understand a written text. – Wikipedia Readability is obviously important for any kind of scholarly communication, from writing papers to blog posts.
Substance/Drug Abuse Among Nigerian Youths: The Roles of Curriculum Reform

Substance abuse is a serious global and international issue particularly in developing countries like Nigeria where the problem of drug abuse has become a major concern both to the government and to the society.This paper examined the meaning of drugs and substances that are commonly abused such as stimulants, narcotics among others.The paper also examined some of the risk factors involved such as smuggling substances of abuse through porous seaports and land borders as a result of corruption and compromises at the point of entries.The prevalence of drug abuse, effect of drug abuse and the importance of drug/substance abuse education were also highlighted.The various stakeholders in drug education and the need for curriculum reforms and development were also identified.
The Application of Data Mining Technology Based on Factor Analysis in the Evaluation of Students' Learning Quality

This paper analyzes the results of three graduates of software engineering majors, and establishes a comprehensive performance evaluation model, in order to more comprehensively and accurately reflect students' learning quality. Empirical research based on SPSS software, the results show that: using factor analysis to evaluate student performance can find out which aspects of the professional training program actually cultivate students' abilities, and the proportion of these abilities that affect the student's total score is to improve the total score Which courses students should focus on improving their grades. The evaluation of student performance based on factor analysis has important practical significance for discovering and improving students' learning quality.
Adding Styles

We come to the point in the book where we add one of the most critical parts – styling! For some frameworks, this involves using lots of extra code to manage styling inline, not so with Svelte.
Unsupervised Sequence Alignment between Video and Human Center of Pressure

Center of pressure (COP) estimation with images/videos as input achieves accurate precision with the development of the human skeleton joint extraction tasks. As a supervised learning task, correct labels acquired from COP with regard to the input images/videos are significant. Thus, synchronization between these two different types of sequences is necessary. If these two different modalities are misaligned, the downstream tasks’ precision is affected significantly due to the inaccurate labels from the COP sequence. In this paper, we used a synchronized dataset and unsupervised deep learning to train an Alignment Network to align video and COP sequences on another unsynchronized dataset where each sequence starts at a different time and has different frame rates. On the synchronized dataset, the Alignment Network removes 84.4% of temporal offset. On the unsynchronized dataset, we proposed a simple yet effective Differential Network to simulate one practical downstream task. We used the differential Network to estimate the sway level of COP. Results show that this method achieved significant improvement (over 20% improvement on three sway level cases) over the misaligned dataset.
Bayesian Learning

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The potential impact of block chain on the achievement of the Sustainable Development Goals

This chapter discusses how blockchain could impact the Sustainable Development Goals. The discussion focuses on how current visions that society attributes to blockchain could play out and what could be their impact on sustainable development. An interesting prior example is the Internet. An initial meaning that society placed in Internet technology was that it would create a “global village” that would spread equity, justice, and democracy. These were expectations based on technical characteristics of the Internet (cheap, instantaneous, two-way communication). These expectations did not realize, and the actual use of the Internet has a direct impact on sustainable development (positive and negative). In fact, similar hopes were raised by the telegraph, railways, then the telephone. One prediction about radical innovation may be that some of its most important effects in the long term will be felt in areas where it was hardly expected to matter at the beginning (for example, the impact of internal combustion engine on urbanism). Similarly, blockchain technology is in its infancy, and there many different visions of how the technology is likely to develop, which products will result from this development and the potential consequences of their use.
Virtual Learning: An Effective Tool for Quality Assurance in Higher Education

In an era of revolution in digital technologies, virtual learning has gained momentum in the educational process. This research aims to identify the role of virtual learning as an effective tool for quality assurance in higher education. This will further explore the performance indicators of virtual learning at program and institutional levels. To understand the impact of virtual learning in organizational performance and achievement of strategic objectives, the interview method has been selected to receive a comprehensive view of the senior management towards virtual learning and its future in reshaping the paradigm of education. The interview questions will be designed to know senior management&#039;s perception across the universities regarding the effectiveness of virtual learning in measuring learning outcomes and stakeholder satisfaction. The research will finally propose an innovative approach towards successfully implementing virtual learning from a futuristic perspective. This will open the avenues for competitive advantage in delivering quality education and achieving institutional vision and mission.
360°-VIDEO REFLECTION IN TEACHER EDUCATION: A CASE STUDY

360°(degree-)-videos inherit interesting potentials for teaching competence development.Reflecting on personal teaching performance from multiple perspectives potentially increases the depth in situated reflection and provides new learning insights for pre-service teachers.In this light, this paper describes a case study conducted at the University of St.Gallen where 360°-videos were used for reflection on personal performance of pre-service teachers in order to clarify, whether they add value to reflective observations compared to classical video recordings.Key findings are that (I): 360°-videos can add value to reflection processes in teacher education when combined with feedback and situated learning processes in a learning design and (II): 360°-videos offer advantages to follow teacher-student-interactions and to reflect upon personal teaching performance from multiple perspectives.
Hand Movements Using Keyboard and Mouse

This chapter focuses on the use of standard human–computer interaction devices, such as keyboards and mice. These relate closely to movement of the hands, fingers, and forearms, and the way users operate them allows considerably more information to be acquired beyond typed texts and cursor clicks; it is possible, for instance, to identify users and to monitor their emotional states. The first section of the chapter outlines how keyboards are used to recognize emotions and identify users by applying keystroke dynamic analysis. It also explains the effects of differences in learning efficiency between using keyboards and traditional methods of recording information. The second section discusses the use of mice to identify users and recognize their emotional states. It also reflects on the psychological benefits of analysis of subjects’ movement and, in turn, their behavior.