Reviewerly/exHarmony huggingface dataset:
The Correlation Between Undergraduate-Students’ Reading Interest and Their Reading Comprehension

Reading interest is one aspect of encouraging the reading comprehension process. However, the level of reading interest in Indonesia is still low. In this situation, as an academic component, undergraduate-students also have an obligation to read. This is driven by the academic life of lectures which require students to have reading comprehension skills. Because of these two circumstances, the reason for this study was to investigatethe correlation of students' reading interest and reading comprehension in higher education levels. This study was conducted through a quantitative approach and correlation study as the method. The population of this research is about 140 students of EFL semester four who are active in the English language education study program of Universitas Brawijaya. By using a simple random sampling technique, there were 41 students from the 4th semester involved as participants in this research. This study was conducted by distributing questionnaires to students who were respondents and reading comprehension tests, after which they were input and analyzed through the SPSS program. The finding of this study showed that the significant value was .022 smaller than 0.05 (.022 &lt; 0.05) which means that there was a correlation between interest and reading comprehension, with a Pearson product moment (r-value) of .356, which indicates a weak positive correlation. Therefore, it can be concluded that the null hypothesis (Ho) was rejected and alternative hypothesis (Ha) was accepted. It means that there is a significant correlation between reading interest and reading comprehension.
Closing Now to Reopen Better Tomorrow? Pedagogical Continuity in Latin American Universities During the Pandemic

Latin American universities have struggled to ensure pedagogical continuity since the beginning of the pandemic. The objective of this research is to find out how Latin American universities responded to the many challenges posed by their commitment to pedagogical continuity, namely in the technological, pedagogical, financial, and socio-emotional domains, and the support received from their governments. Data was collected through a survey sampling 100 universities in the region covering 16 different countries. The results suggest that many of the challenges faced by universities were more related to the lack of pedagogical skills, from both students and teachers, than to the pitfalls of technological capacity. The survey results are also indicative that the forms of teaching and learning that have begun as emergency formulas to guarantee pedagogical continuity will evolve and consolidate from the time of the reopening, as part of the hybrid model with which we will have to coexist for the time being, and which may become the new pedagogical norm in higher education in the context of a foreseeable restructuring of its provision.
Automating the Detection of Access Control Vulnerabilities in Web Applications

Abstract The importance of automated and reproducible security testing of web applications is growing, driven by increasing security requirements, short software development cycles, and constraints with respect to time and budget. Existing automated security testing tools are already well suited to detect some types of vulnerabilities, e.g., SQL injection or cross-site scripting vulnerabilities. However, other vulnerability types are much harder to uncover in an automated way. One important representative of this type are access control vulnerabilities, which are highly relevant in practice as they can grant unauthorized users access to security-critical data or functions in web applications. In this paper, a practical solution to automatically detect HTTP GET request-based access control vulnerabilities in web applications is presented. The solution is based on previously proposed ideas, which are extended with novel approaches to enable completely automated access control testing with minimal configuration effort, which in turn enables frequent and reproducible testing. An evaluation with seven web applications based on different technologies demonstrates the general applicability of the solution and that it can automatically uncover most access control vulnerabilities while keeping the number of false positives low.
MODELING OF MOBILE ROBOT WITH OBSTACLE AVOIDANCE USING FUZZY CONTROLLER

This paper presents the modeling of a robot's navigation using ultrasonic sensors under uncertainty. The robot tries to avoid obstacles by using the fuzzy logic controller to process the data coming from three ultrasonic sensors. To assess the performance of fuzzy logic optimized robot navigation controller with ultrasonic sensors, which measure the distance by calculating the time spent on the object and its return, the obstacles are placed in front of, left, and right of the robot. Mamdani fuzzy reasoning system is used for the designed controller for its intuitive properties and fewer setting parameters which reduces the amount of time spent on the programming of the controller. 25 rules are considered to cover a robot’s possible interactions with obstacles. For an easy understanding of navigation architecture and rapid algorithm implementation, in this paper, a MATLAB simulation framework is developed. MATLAB/Simulink is one of the best simulation tools required to design the architecture and verify algorithms with real-time constraints. Resultant models of the fuzzy optimized controller demonstrate the superior performance of the fuzzy logic controller with high adaptability to the environment while maintaining a sufficient level of accuracy. The designed fuzzy controller can be used in microprocessor/microcontroller-based robots owing to easiness in implementation and coding.
Simulation of Automatic Color Adjustment of Landscape Image Based on Color Mapping Algorithm

With the continuous development and progress of image sensing technology in recent years, the problem of image data acquisition, recovery, and recording has been solved, and people have gradually realized that image data can be better recovered, recorded, and exhibited by collecting image data. It is also used in target recognition, image display, landscape design, and other fields. And the application of color mapping algorithm can more intuitively affect the final quality of the display image. This is extremely important for landscape design. It can be said that the emergence and application of color mapping algorithm provide strong technical support for both dynamic and static image color automatic adjustment and simulation. On this basis, taking the color mapping algorithm as the breakthrough, through the in-depth introduction of the color mapping algorithm, starting from the direction of landscape image color automatic adjustment, a relatively simplified color mapping algorithm model inheriting the positive and negative two-way vision model is proposed. At the same time, a simulation algorithm based on landscape suitcase color automatic adjustment is proposed based on the color mapping algorithm model. Experiments show that automatic color adjustment of landscape images based on color mapping algorithm can achieve more realistic image reproduction, and the color mapping method based on color mapping algorithm has less illumination bias. When the number of experiments is 30, the difference in visibility of the plane is 0.25 cd/m2, the difference of visibility according to the color change segmented by the gradient area is 0.71 cd/m2, and the difference of the illuminance difference of the transition image is 0.71 cd/m2. Gaussian pyramid is 1.25 cd/m2. The proposed method improves color density by reducing image sharpness and compensating for color sharpness of landscape image, and high quality landscape images provide assistance for landscape design.
Statistical time-domain characterization of non-periodic optical clocks

Measuring time means counting the occurrence of periodic phenomena. Over the past centuries a major effort was put to make stable and precise oscillators to be used as clock regulators. Here we consider a different class of clocks based on stochastic clicking processes. We provide a rigorous statistical framework to study the performances of such devices and apply our results to a single coherently driven two-level atom under photodetection as an extreme example of non-periodic clock. Quantum Jump MonteCarlo simulations and photon counting waiting time distribution will provide independent checks on the main results.
TRACK VIDEO ANALYSIS AS PHYSICS MEDIA RESEARCH DURING 2016 TO 2020 A BIBLIOMETRIC ANALYSIS

The purpose of this research is (1) To identify the distribution of articles related to the use of TVA as a medium in publications over the past 5 years; (2) To identify the distribution of languages used in the writing of TVA publications; (3) To identify the number of TVA scientific publications as Physics media research; (4) To identify the correlation between subjects used in TVA. The method used in this research is bibliometric analysis that can help researchers in researching the contents of bibliographies, analyzing the correlation of objects from Scopus metadata in the last 5 years, namely 2016 - 2020. From the search results on Scopus with the keyword TVA obtained as many as 24,495 documents. There are three dominant groups, namely Study, State, and Object. TVA deals with studies, research models and learning, related to tracking an object or benchmark, related to community activities or activities in a country.
An Analysis of Reading Strategies Used by The Fourth Semester Students of English Education Study Program in Muhammadiyah University

This research aimed at finding out types of reading strategies and the dominant reading strategies used by the fourth semester students of English Education Study Program in Muhammadiyah University. The subject of this research was all fourth semester students of English Education Study Program in academic year 2018/2019. This research used descriptive quantitative method in the form of survey. The data were collected by using the questionnaire as the instrument. The result shows that the fourth semester students of English Education Study Program in Muhammadiyah University used the four reading strategies in reading: cognitive, metacognitive, compensation, and testing strategies. The dominant reading strategy was metacognitive strategy. Among the four strategies, metacognitive strategies (3.2) were the most frequent strategies used by the fourth semester students. It was followed by testing strategies with average score (3.0), compensation strategies with average score (2.9), and finally cognitive strategies with average score (2.8). The four reading strategies were categorized in moderate level. It can be concluded that the students were using the four reading strategies quite well, and they used metacognitive strategy mostly when they do a reading activity in the classroom, such as thinking about the learning process, planning for learning, monitoring the learning task, and evaluating how well one has learned.
APLIKASI CLUSTERING BERITA DENGAN METODE K MEANS DAN PERINGKAS BERITA DENGAN METODE MAXIMUM MARGINAL RELEVANCE

News is information about facts or opinions that are interesting to know. News can be obtained from various media such as newspapers and the internet. As is well known, news has various topics, such as politics, sports and others. There is also the same story written with the addition of a little information. This causes it to take more time to get the headline of the news. Therefore we need a system for news clustering using the K-Means method and news summarizing using the Maximum Marginal Relevance (MMR) method in order to obtain information from news more easily and efficiently. News that is processed in the form of a collection of files (multi document) with the extension txt. The summarization process goes through the text preprocessing stage, which consists of sentence segmentation, case folding, tokenizing, filtering, stemming. The next step is TF-IDF calculation to calculate word weight then Cosine Similarity to calculate the similarity between documents. After that, enter the K-Means stage for clustering division and proceed with determining the summary with MMR. Based on the results testing that has been done, this application is running well, the results of clustering and summarizing news can make it easier for users to get news summaries from some similar news.
Approach to Auto-Recognition of Human Trajectory in Squares using Machine Learning-Based Methods - An application of the Yolo-v3 and the DeepSORT algorithm

The square plays an essential role in contemporary urban space.Researchers had explored many methods to record the distribution of people in it.However, few of them study this issue using fine data.This study proposes a method recognized of the human trajectory using a machine learning-based computer vision algorithm, which can be divided into the following three steps.( 1) the acquisition of video and the method of obtaining human trajectory.( 2) cleaning of the raw human trajectory data.( 3) to visualize the trajectory data.Based on the existing methodology, we take three example squares within the Tianjin University campus to illustrate it.We use trajectory map, people distribution heat map, and people walking speed heat map as visualization methods.The following two conclusions are drawn from the three examples.First, it is found that the human trajectory data derived from this method is more accurate when the UAV is flying at a lower altitude.Second, this study demonstrates that a passive Real Time Locating Systems (RTLS), based on a deep learning computer vision algorithm, can effectively obtain human trajectory data in a square.Third, this paper proves that the visualization method we used is effective.
Determination Of The Correlation Between Sports Managers’ Strategic Leadership Characteristics And Employees’ Job Satisfaction

The aim of this descriptive study was to determine the correlation between strategic leadership characteristics of sports managers and job satisfaction of employees in Ordu Provincial Directorate of Youth and Sports.This study was correlational screening model with descriptive feature.The sample consisted of 290 employees from Ordu Provincial Directorate of Youth and Sports.The data was collected by the Strategic leadership Scale and Job Satisfaction Scale.The normality of data distribution was examined by Kolmogorov-Smirnov test.The independent samples T-test and one-way analysis of variance (one way ANOVA) for parametric data and Mann Whitney-U and Kruskal Wallis-H tests for nonparametric data were used.In pairwise comparisons between groups, the Tukey test for parametric data and Mann Whitney-U test with Bonferroni correction were used.The Spearman correlation analysis was used for examination of relationship between strategic leadership features and job satisfaction of employees.Data were analyzed using The Statistical Package for Social Sciences (SPSS 25.0) was used in all statistical analysis.The statistical significance level was accepted as p<0.05 in all statistical analysis.According to analysis results, the strategic leadership features of managers and job satisfaction of employees were significantly differentiated according to gender, age, income level, education level, work period at institution, work period with manager.It was determined that the strategic leadership features of managers and job satisfaction of employees were not significantly differentiated according to marital status and children number.According to results of correlation analysis, it was determined a positive and significant correlation between the strategic leadership features of managers and job satisfaction of employees.Consequently, the job satisfaction of employees is closely related to strategic leadership features of managers and the job satisfaction and productivity of employees may be increased by effective usage of strategic leadership features.
Virtual Zoo: Learning Media Based on Augmented Reality for Early Childhood

Early Childhood Education is designed as the first level of education given to children to understand their surroundings.The learning process was carried out through a combination of learning and playing.One of the basic competencies stipulated in the 2013 PAUD curriculum is KD 3.8, consisting of knowledge of the natural environment, particularly animals.Conventionally, the introduction of animals to these young students took place by mentioning their names and their characteristics, or taking them out to a field, a zoo or an animal park.To design a sufficiently representative learning experience in class, this research aimed at developing a virtual zoo, presenting animals in 3D shapes.As such, students can remain in class while they are able to recognize animals as well as when they visit the zoo.This development research was conducted using the ADDIE method, with the following stages: 1) Analysis, 2) Design, 3) Development, 4) Implementation, and 5) Evaluation.The development of this learning media eventually helped children not only learn to recognize animals, with both characteristics and environment, but also do it online.
Modern trends in the organization of the educational process at the university with the use of pedagogical support

The article makes an attempt to comprehend the current trends in the organization of the educational process at the university. The need for changes in the field of education is due to the social order of the digital society. The author considers the possibilities of modernizing the organization of the educational process at the university on the basis of pedagogical supports, the formation of metasubject competence, changes in the interaction of a teacher and a student, digitalization, taking into account the psychological characteristics of generation Z, which basically do not have a pronounced channel of information perception (they are digital) and interact well with digital devices. Taking into account the modern educational paradigm of teaching in higher education, metasubject results are described that lead to the formation of the student&amp;apos;s metasubject competence and the teacher&amp;apos;s meta-literacy and metareflection. The micromodels of the organization of the modern educational process at the university from reproductive to heuristic are shown. Variants of the use of pedagogical supports for the formation of basic skills (soft and hard) of a future specialist in the framework of professional and personal development are proposed.
LOGICAL THINKING IN THE EDUCATIONAL CONTEXT

At present, having skills to solve the various difficulties of everyday existence using logical reason, is very significant; also, towards the progress of science and technology; the result of research on the logical judgment of students is shown.The objective is to analyse the present phase of scientific discernment on logical thinking in the formative reality in the period 2016 to 2021.The methodology was based on the systematic review, using a quantitative, retrospective approach; non-experimental design, cross-sectional and retrospective type; the inquiry of information has been executed in prestigious databases; the descriptive results show that the definition of logical thinking has been evolving according to the development of technology which is a very influential factor; finally it was concluded that logical thinking is the solvency to solve difficulties, the logical and scientific do not exist if they are not related.
What’s up with Whatsapp? A review of its role in students groups

WhatsApp Group chats Out-of-class communication Mobile instant messaging Messenger overload
Mobile learning studies conducted in certain schools in South Africa from 2005 to 2015: a review study

Mobile learning studies have been conducted at a secondary school level in South Africa. In particular, most of these studies have been carried out as one-off trials or experiments in one or more schools, on a short-term basis. However, there have not yet been studies that harness and review mobile learning projects undertaken at a secondary school level. To this end, the current study reviewed mobile learning projects conducted at secondary schools in South Africa between 2005 and 2015 which are published in DHET-accredited academic journals. It reviewed such projects by employing eligibility criteria meant to include qualifying journal articles and by synthesising key areas such as educational context, subject domain, research design, sample groups, data sources and summary of findings. The study reveals that three areas, English L1, English L2 and mathematics constituted the primary focal areas of the reviewed studies.
Emerging Educational Technologies at University: the experience foreign and domestic higher education institutions

This article provides a brief analysis of the aspects of modern information culture. The most promising initiatives and trends for the development of the educational environment of higher education are presented. The problems of the information model implementation in the world systems of higher education and the universal factors of influence on its effectiveness are considered.
Markov Random Field based Compression of Encrypted Medical Images

Medical images are extensively used to convey information for further diagnosis. A large number of such images need to be stored in medical databases with assured security. Secure transmission of medical images requires a robust encryption and compression algorithm. There have been a few researches on the binary and grayscale encrypted and compressed images, despite the fact that there have been many studies on the non-encrypted-compressed images. On the other hand, low computational complexity and high security are not able to achieve by existing encryption image compression algorithms simultaneously. As a result, a method for compressing an encrypted image demands additional investigation in order to make optimal use of storage space while maintaining confidentiality. In order to overcome this issue, this study proposes a novel image encryption-then-compression (ETC) system based on 2D Compressive Sensing (2DCS) and the Markov random field (MRF) model. The objective is to achieve both minimal computing complexity and high security. In addition, the reconstructed image should have a significantly higher Peak Signal-to-Noise Ratio (PSNR).
Augmented Reality for Experience-centered Spatial Design - A quantitative assessment method for architectural space

While interaction and product design are using data-driven methods on a daily basis, not only similar data but also methods for making use of such data for designing architectural space is missing.The spatial design feedback loop is broken, as we lack quantitative assessment systems that reveal experience and interaction from the user's perspective.This paper describes the first of its kind development of a spatial assessment and design methodology utilizing Augmented Reality headsets, aiming to fill the gaps in the spatial design iteration loop.
What is Architectural Digital Sketch? - A systematic inventory

The traditional sketch using pencil and paper is an indispensable medium for architects.Digital technology both imitates and extends the possibilities of the sketch into a new form, the Architectural Digital Sketch.In this paper, we present a descriptive framework from the theoretical perspective of technology parameters.This framework covers traditional and digital sketch.We investigated several representative tools for sketching employing the framework, such as traditional sketch, Wacom SmartPen, iPad Pro, Foldable Notebook Lenovo ThinkPad X1 and Hyve3D.We demonstrate how the framework gives a unified approach to such widely varied tools.