Reviewerly/exHarmony huggingface dataset:
The Readability Level of Arabic Textbook “Silsilah Fī Ta’līm al-Lughah al-‘Arabiyyah”

The purpose of this study was to know the readability level of textbook "Silsilah Fī Ta’līm al-Lughah al-‘Arabiyyah: Al-Mustawā Ats-Tsāniy, Al-Qirā`ah", and factors affecting readability level in terms of word class tendencies and linguistic findings. This study also analyzed the level of reading ability of first-semester Arabic students at Universitas Negeri Jakarta and the types of texts recommended for use or further development by other researchers. This research was carried out using descriptive qualitative methods, and data were collected from 83 students who enrolled in the Qirā`ah course. Readability analysis techniques using the Cloze Procedure Test. The research showed that the readability of textbooks was 46% at the frustration level and 29% at the moderate level. The tendency of the word class to make errors generally occur in 1) 27% of perfect verbs, 2) 24% of nouns, 3) 16% of imperfect verbs. Other factors are 1) Reader Factor: about 43% of students in the Arabic Language Education Department come from general/vocational high schools, 35% from Islamic high school, and only 22% from Islamic boarding schools; 2) Reading Factor: the textbooks writers from native Arabic speakers generally rely on their experience and culture in presenting the text regardless of readers ability as foreign speakers. 3) Book Factor: this book lacks vocabulary and illustrations in the form of pictures, so that it was less helpful in independent understanding.
Securing Workflows Using Microservices and Metagraphs

Companies such as Netflix increasingly use the cloud to deploy their business processes. Those processes often involve partnerships with other companies, and can be modeled as workflows where the owner of the data at risk interacts with contractors to realize a sequence of tasks on the data to be secured. In this paper, we first show how those workflows can be deployed and enforced while preventing data exposure. Second, this paper provides a global framework to enable the verification of workflow policies. Following the principles of zero-trust, we develop an infrastructure using the isolation provided by a microservice architecture to enforce owner policy. We implement a workflow with our infrastructure in a publicly available proof of concept. This work allows us to verify that the specified policy is correctly enforced by testing the deployment for policy violations, and find the overhead cost of authorization to be reasonable for the benefits. In addition, this paper presents a way to verify policies using a suite of tools transforming and checking policies as metagraphs. It is evident from the results that our verification method is very efficient regarding the size of the policies. Overall, this infrastructure and the mechanisms that verify the policy is correctly enforced, and then correctly implemented, help us deploy workflows in the cloud securely.
Video Feedback via QR codes for Pre-service English Teachers

QR Codes have been flourishing the education for many long with the variety of activities in use it provides, and have been preferred especially for being simple and quick in education. Feedback is another significant element for learners since it guides the learners for qualified essays. The aim of this qualitative study is to find out the experiences of preservice English teachers on video feedback via QR codes. 50 preservice teachers were asked to write two essays. At the end of the term, data were collected via an open-ended questionnaire and semi-structured interviews. 23 of the candidates completed the open-ended questionnaire and 8 of them accepted to be interviewed. Data were analyzed through thematic coding. It was expected that the participants would develop positive attitudes towards video feedback, yet the findings showed they prefer written feedback on their word files and felt safer that way. This study may contribute to the field in terms of how to develop ways to provide more efficient feedback for preservice teachers and may show that affective factors have also key roles in the success of certain methods and approaches in teaching.
Evaluation of Magnetic Resonance Imaging of the Chest at a Cancer Center

Objective: In the present article, we will describe the indications for chest MRI in patients diagnosed with malignancy and its relevant role in distinguishing benign from malignant lesions and in detecting metastases. Materials and methods: Single-center, retrospective, analytical imaging and chart-review study of all patients with a diagnosis of cancer who underwent chest MRI at the Imaging Department of A.C. Camargo Cancer Center from January 2014 through December 2016. Information was collected through an electronic questionnaire and exported to a Microsoft Excel spreadsheet. Data were then processed in Action Stat 3 software. Descriptive analysis was conducted with conventional measures of central tendency (mean, median, mode) and dispersion (range, variance, standard deviation, and coefficient of variation), as well as calculation of absolute and relative frequencies. Results: The leading indication for chest MRI was post-treatment follow-up. Chest MRI was most often requested by the Departments of Thoracic Surgery and Clinical Oncology. In most cases, the results of chest MRI led to maintenance of the current treatment plan rather than a change in management. Conclusion: Magnetic resonance imaging has several applications in evaluation of the chest, and can be used by various specialties and subspecialties. In the present study, post-treatment follow-up and maintenance of current therapy were the most common indication and management, respectively.
Information System for Personalized Spaced e-Learning

Spaced e-learning is one of the opportunities to implement the findings of neuroscience, psychology and cognitive sciences to raise the effectiveness of e-learning.The spaced learning method is based upon the positive effects gained from the rehearsal of learning content after several repetitions.A mandatory requirement is the "disconnection" of the mind from learning content during short spaces between repetitions and the delivery of learning content in different forms for repeating.The objective of the transdisciplinary research is to create and validate an advanced information system for an innovative spaced e-learning methodology.Research shows that personalization of the content of spaces in accordance with the individual interests of learners is a useful tool for the improvement of the acquisition of knowledge and skills.The information system created in the project could be adopted for different e-learning environments.
Efektifitas Pembelajaran Jarak Jauh Terhadap Kepuasan Proses Pembelajaran Di Prodi D3 Dan S1 Akuntansi Untidar

The purpose of this study is to analyze how distance learning can be used to achieve student satisfaction and to analyze that the implementation of distance learning is currently effective in achieving the objectives of the teaching and learning process during the current pandemic. The population of the study was all D3 and S1 students of Accounting, Faculty of Economics, Tidar University. The samples in this study were D3 and S1 Accounting students in semesters 1, 3 and 5 who were running their lectures. This study uses a combination of qualitative and quantitative research. The data collection technique used is in the form of a questionnaire using questionnaire that given to students to get an overview of the implementation of distance learning so far. In this quantitative analysis, the research variables are arranged descriptively by assessing the percentage of standard achievement in tabular form. The results of the implementation of distance learning by lecturers already had a variation or variety and the telegram learning media was the most widely used in the percentage of 87.6%. The ease of applying today's technology that makes learning media easily accessible to students is in the percentage of 55.9%. The level of student understanding of learning materials, information and deepening of material by 52.4% is currently effective in achieving the objectives of the Accounting teaching and learning process during the pandemic when it is 39%. Student satisfaction with distance learning that has been carried out during the pandemic is 40.2%. Kata kunci: distance learning, accounting, pandemic
Introduction to the Special Issue on Insider Threats

We introduce the articles selected for publication in this special issue by briefly discussing the nature of insider threats, some major research challenges, and the need for insider threat programs to examine both technical and behavioral indicators of concern.
Construction of object boundaries for the autopilot of a surface robot from satellite images using computer vision methods

An algorithm and a program for detecting the boundaries of water bodies for the autopilot module of a surface robot are proposed. A method for detecting water objects on satellite maps by the method of finding a color in the HSV color space, using erosion, dilation - methods of digital image filtering is applied. The following operators for constructing contours on the image are investigated: the operators of Sobel, Roberts, Prewitt, and from them the one that detects the boundary more accurately is selected for this module. An algorithm for calculating the GPS coordinates of the contours is created. The proposed algorithm allows saving the result in a format suitable for the surface robot autopilot module.
Effectiveness of Interactive E-Book Global Warming and Climate Change Integrated Socio Scientific Issues Peat Ecosystem

Efforts to overcome global warming and climate change are integrated with science learning with the socio-scientific issues method. Materials on global warming and climate change are included in an interactive e-book that integrates the peat ecosystem's socio-scientific issues (SSI). This study aims to determine the effectiveness of the Integrated Interactive E-book SSI Ecosystem Peat on learning outcomes and students' environmental care attitudes. The research subjects were 30 grade VII students of SMPN 5 Palangkaraya, Central Kalimantan. The result is that SSI's integrated interactive e-book is effective in improving learning outcomes. The results of the SPSS test with a significance value of 0.05 showed a value of 0.008. There is a difference in the mean of the pretest and posttest results, with an N-gain value of 1.66 with low criteria. SSI's Integrated Interactive E-book is effective to improve students' environmental care attitude with an average score of 89.8% with the criteria of being very caring
STRATEGI KOMUNIKASI PERUBAHAN PERILAKU DALAM PENDIDIKAN KESEHATAN DI TK‘AISYIYAH BUSTANUL ATHFAL KOTA BENGKULU

Health education is the main element in early childhood education. Several government policies have also integrate health education into Early Childhood curriculum Education, however, its implementation has not been realized in all early childhood institutions. TK ‘Aisyiyah Bustanul Athfal (TK ABA), is the oldest PAUD institution in Indonesia. Along the way, he continues to improve to improve the quality of learning both from the curriculum and the quality of educators (teachers). This article is an evaluation of education and training activities carried out by DIKDASMEN PP Aisyiyah in collaboration with UHAMKA in Bengkulu city which is a series of training in eight provinces throughout Indonesia. This evaluation is to assess health education materials through a behavior change communication approach. The method used is conducting pretest and posttest as well as in-depth interviews with 3 training participants. The results of the posttest showed an increase in knowledge of early childhood teachers after the training was carried out. All informants said the importance of health education in the Early Childhood Education curriculum.
COVID-19: Face Mask Detector with Open CV and CNN Algorithm

Now a day, covering our faces with a mask has become a new normal habit in this pandemic, as face masks are effective in preventing the virus outbreak. Masks reduce risk from an infected person whether they have symptoms or not. In this paper, we propose a system that restrict the growth of COVID-19 by finding out peoples with mask and without mask. Where all the public places are monitored with CCTV cameras. A deep learning architecture is trained on a dataset which consists of images of people with wearing mask and without wearing is masks collected from various sources. By using image processing analysis and machine learning method we can find out face mask wearied or not. Face mask detection can be done using various methods. Mainly convolutional neural network and OpenCV method is used. The accuracy and decision making of CNN algorithm is higher than other algorithms.
Fast Generation of Obstacle-Avoiding Motion Primitives for Quadrotors

This work considers the problem of generating computationally efficient quadrotor motion primitives between a given pose (position, velocity, and acceleration) and a goal plane in the presence of obstacles. A new motion primitive tool based on the logistic curve is proposed and a closed-form analytic approach is developed to satisfy constraints on starting pose, goal plane, velocity, acceleration, and jerk. The geometric obstacle avoidance problem is represented as a combinatorial set problem and a heuristic approach is proposed to accelerate the solution search. Numerical examples are presented to highlight the fast motion primitive generation in multi-obstacle pose-to-plane scenarios.
Comparative Analysis of the Effect of Immersive English Teaching

Immersive teaching has achieved remarkable results in bilingual learning. This teaching method creates an immersive environment for learners to understand and use languages. This paper explores the influence of immersive teaching on the learning performance, interest, and satisfaction of Chinese English learners, and provides several suggestions on how to apply immersive teaching. The results show that immersive teaching improves the listening, speaking, reading, and writing abilities of students. One semester of immersive teaching improved the scores of listening, reading, speaking, and writing by 6.53%, 6.85%, 5%, and 4.73%, respectively; while two semesters of immersive teaching improved them by 12.46%, 16.03%, 13.55%, and 9.92%, respectively. Thanks to immersive teaching, the students’ interest in English learning soared, and their satisfaction with English learning surpassed 50%. This research lays a theoretical basis for promoting immersive teaching, and improving students’ English learning effect.
Incorporating lexicon knowledge into Chinese NER using hierarchical meta-embedding

Integrating lexicon knowledge into character-based methods can improve the performance of neural network models for Chinese named entity recognition (NER). For example, Lattice LSTM [1]and WC-LSTM [2] perform well on several public Chinese NER datasets. However, the directed acyclic graph (DAG) structure makes lattice LSTM challenging to train on minibatch. In addition, the Lattice LSTM and WC-LSTM only incorporate the word-level semantics into the representation of the first or last character in each word. The inside characters that the word contain are ignored. Besides, they have difficulty in dealing with the conflicts between potential words in the lexicon. This work proposes an attention- based hierarchical meta-embedding method (AHME) to incorporate lexicon knowledge into Chinese NER to alleviate the above limitations. The proposed model can incorporate the word boundary information into character representation and deal with conflicts between potential incorporated words. The experimental results on four datasets show that our method outperforms state-of-the-art baselines.
Grandparents and Parents: An Essential Partnership for Longevity Societies

Abstract This presentation hypothesizes that an innovative collaboration by the adult generations will be necessary to enable conditions needed for family success in a longevity society. Unprecedented challenges of parents and grandparents are examined. Reasons why adults have to regard youth as a source of learning about their unique experiences in an age-separated society are explained. International curriculum development studies to support families of children from birth through adolescence are described. A curriculum that provides a common knowledge base about child and adolescent guidance is proposed to harmonize efforts of adults to support younger relatives. Curriculum for retirees should focus on continuing responsibilities other generations expect of them, learning about the lives of younger family members, and gaining awareness of parenting practices to reinforce lessons. Training volunteers in assisted living and long-term care facilities to be indigenous leaders of grandparent classes is discussed as a practical way to offer relevant learning and improve social support. Instruments are examined that assess ethnic relationships between adult generations, adults and adolescents, and track results of education intervention.
Yabancı/İkinci Dil Olarak Türkçe Öğretiminde Öğreticilerin Öğretimi Destekleyici Materyal Kullanım Durumları

This study was carried out in order to show the point of view of the instructors working in the field on teaching supplementary materials in foreign / second language teaching.There are many studies that investigated the effects of supplementary materials within the scope of language skills.The difference of this study is that it makes a smallscale inventory of supplementary materials preferred by the instructors in all learning areas in language teaching from a general framework.The study was conducted as a descriptive research and applied to 40 participants working as a Turkish language teacher in 22 different institutions through a questionnaire prepared.The obtained data were presented and interpreted by using descriptive statistics, arithmetic averages and frequency values.As a result of the research, it was determined that all the participants needed teaching supplementary material in addition to the textbooks, which are the main sources in the teaching process.In terms of learning areas, it was found that the instructors have difficulties in terms of quality and quantity, especially in terms of supplementary material to be used in speaking and writing skills.In addition, it was observed that printed supplementary material are preferred more than digital supplementary material.The study is considered important especially in terms of guiding further studies focused on material production and informing the instructors working in the field about the material supporting the teaching.
Experience in Preparing Fine Arts Teachers-to-Be

The article presents and verifies the author’s component-based methodology for developing artistic-pedagogical competency in fine arts teachers-to-be. It can be implemented in theoretical training based on the system of museum and tourism activities accorded with Ukrainian folk holidays, multimedia support and artistic-pedagogical design as factors in the optimal transformation of theoretical knowledge into practical skills, as well as students’ understanding of symbolism in arts and crafts. Also, the article presents the results drawn from the implementation of the author’s methodology in the educational process to prove its effectiveness. The analysis of the presented data indicates a pronounced tendency towards the increase in the levels of all components of artistic-pedagogical competency.
Evaluation of Smartphone’s Embedded Sensors Through Applications: A Case Study of Gyroscope and Accelerometer

Smartphones are used for many daily activities like tele-communication, gaming, web browsing, fitness and health monitoring and traditional office working. Smartphones are equipped with built-in sensors to be able to perform these activities. It is well known that the sensors affect the resolution of the smartphone applications which is very vital in life critical applications (LCA). In this paper, two main sensors, the gyroscope and accelerometer have been studied. All commercial smartphones contain these two sensors and support functions related to them. These two sensors have direct link with the physical measurements which feed the fitness and health applications. A fitness application has been selected and ran under Android and iOS operating systems in two different popular smartphones: Samsung Note5 and iPhone7s smartphones. Statistical methodology has been applied to analysis the data and evaluate the performance of the sensors. The results show that commercial smartphones are not reliable devices for motion-related measurements and they can only be used for general purpose monitoring but not in life critical applications.
Implementation of Google Cloud in Business to Business Tanda Tukar Faktur Application

Alfamart is a company engaged in retail. Companies involved in the retail sector are certainly inseparable from buying and selling products, and every transaction that occurs will be detailed in the invoice exchange. The problem that arises is because Alfamart wants to accommodate the electronic invoice exchange process. Therefore, Alfamart built a B2B TTF application that can accommodate the electronic invoice exchange process and help its accounting management. The application is made using the Research and Development method because it can address urgent needs and has a high validation value. It is built using the Flask framework and is integrated with Google Cloud to overcome application deployment speed problems and be more flexible. In addition, the implementation of Optical Character Recognition using Google Vision is used to validate uploaded invoice files. This study's results are in the form of a B2B TTF application that can make it easier for users to exchange invoices. The results of using Google Vision have a relatively high percentage of 77%. The B2B TTF application uses the Flask framework and is integrated with Google Cloud, which can assist users in the process of exchanging invoices electronically.