Reviewerly/exHarmony huggingface dataset:
A Meta-Synthesis Approach to Designing a Conceptual Framework for Mobile Learning in Higher Education

Background: Higher education is considered as a source of inspiration and a major factor in the development and advancement of every society. The realization of an effective education in any educational institution requires the formation of an efficient teaching-learning process. The purpose of this study was to design a framework for mobile learning in higher education. Methods: It is an analytical-oriented qualitative study in designing a framework-based meta-synthesis. Data were collected through documentary method using search engines as well as valid websites presenting national and international articles. In the search for mobile learning keywords in higher education, 418 Persian and English papers were found and after examining their titles, it appeared that the majority of them covered topics relevant to mobile learning, such as e-learning. Hence, a total of 119 articles were selected to consider their abstracts. Upon studying the abstracts and contents of the above-mentioned articles, 71 papers were chosen. Due to the principles of conducting meta-synthesis research and omitting incomplete papers, 52 articles were selected for content analysis. Results: According to the results, five main dimensions including: strategy, data, process, infrastructure and human forces are recognized for adopting mobile learning in higher education. Infrastructures develop the highest frequency in the considered studies and out of 52 papers only 42 of them have mentioned codes and factors relevant to the infrastructure. Conclusion: Experts in this study provided their assessments and opinions about research findings in order to score, acknowledge and finalize the dimensions of m-learning in higher education.
THE CORRELATION BETWEEN STUDENTSâ€™ READING HABIT OF ENGLISH TEXT AND VOCABULARY ACHIEVEMENT AT THE NINTH GRADER STUDENTS OF SMPN 192 JAKARTA

This study aims to determine whether there is a significant relationship between reading habits of text and student vocabulary achievement or not. This research was conducted in ninth grade students of SMP 192 Jakarta. Samples were taken as many as 36 students in IX-4 based on the Random Sampling Cluster Technique. The research method used is Ex-Post Facto, meaning that the research is conducted after the facts occur and the data are available. So, the authors only see the effect on the dependent variable based on the documentary supported by library references. Data from the independent variables were collected by questionnaire test techniques and the dependent variables were collected by subjective test techniques. The results of statistical calculations using the Product Moment Test are 0.879. The r-table value of the significant level is 0.05 and the degree of freedom (N-2) = 34 is 0.339. Interpretation of the rxy value to the r-table value is obtained that rxy is higher than r-table (0.879> 0.339). Therefore, the null hypothesis (H0), which says that there is no correlation between students' reading habits in English texts and vocabulary achievement in ninth grade students of SMP 192 Jakarta, is rejected. Meanwhile the alternative hypothesis (Ha), which says that there is a relationship between the reading habits of English text students and vocabulary achievement in ninth grade students of SMP 192 Jakarta, is accepted based on a 5% significance level.
A Study on the Planning of Living Culture Items in the Korean Language and Culture Education for Foreign Learners of Korean

It is necessary that cultural education in integrated textbooks is implemented for Korean language learners who need to acquire the basic cultural background for adapting to Korean life, as well as functional education of language. The cultural factors are extracted, analyzed, and compared from selected integrated textbooks which are utilized as the main channel of actual cultural education, and the most frequent living culture items are intensively examined and compared with the cultural domain of Internationally Accepted Standard Model . In addition, as conducting a survey and analyzing its results on the preference and demand for cultural items focusing on Korean language learners who are studying at the international exchange centers of three universities, the complement factors are presented which are expected to be reflected in the 'Standard Model' and the integrated Korean textbooks of universities. Also, this study aims to suggest the detailed items of living culture, as designing them to be proper to the needs of international students.
Self Propelled Wheelchair Design for Hemiplegia Patient using CREO 3.0

Majority research, projects and products are made unnecessarily complex. Our proposed unit is a relatively simpler wheel chair with a basic Bluetooth module (which is in-built in smart phones) interfaced with ultrasonic sensor for ease of use not only to the paralyzed person but also for the person who is assisting the patient. The major objective behind our design is to construct an automated wheelchair that can operate in household and neighborhood environment in a safe and flexible manner, further reducing computational requirements. The proposed system navigates longitudinal (forward and backward) and angular (left and right) movements of the wheelchair. It serves basic domestic requirements like collision detection and one-arm control apart from comfort to the Hemiplegia patient. A Hemiplegia patient suffers from facial misalignment, impaired speech, impaired eyeball movement, compromised mobility and/or emotional dependency. 3-D design of some major components is done using CREO software to ensure light weightedness, compactness and comfort of the total assembled wheelchair.
Automated collection of social network data to develop a factor model of network self-presentation

On the basis of the conducted empirical research of information images of users, the leading components of network self-presentation were revealed: statistical, socio-demographic component, visual component and value-semantic component. The authors analyzed the hidden factors responsible for the formation of network self-presentation through the information image, studying the prognostic possibilities of social profile data analysis. Significant differences in the content of the information image and socio-psychological characteristics of users with different styles of network self-presentation were identified. Algorithms for collecting and processing open information from social network profiles, followed by factor analysis, as well as machine learning methods to determine the topics of communities and interesting pages to which users subscribe, are presented. The paper deals with ethical and legal issues of using data collection from user groups to create predictive models based on them, without notifying the users themselves. Also discusses theoretical issues of interdisciplinary design model information image, which becomes possible through multilateral analysis of the symbolic content of social network profile: linguistic and psychological evaluation of the semantic content of the content of socio-psychological overview of communication practices that are implemented in the network and parsing features of the network interface that specifies the structure of this profile.
A Light Field Camera Calibration Method Using Sub-Aperture Related Bipartition Projection Model and 4D Corner Detection.

Accurate calibration of intrinsic parameters of the light field (LF) camera is the key issue of many applications, especially of the 3D reconstruction. In this paper, we propose the Sub-Aperture Related Bipartition (SARB) projection model to characterize the LF camera. This projection model is composed with two sets of parameters targeting on center view sub-aperture and relations between sub-apertures. Moreover, we also propose a corner point detection algorithm which fully utilizes the 4D LF information in the raw image. Experimental results have demonstrated the accuracy and robustness of the corner detection method. Both the 2D re-projection errors in the lateral direction and errors in the depth direction are minimized because two sets of parameters in SARB projection model are solved separately.
A Visual Analysis of Gameplay in a Fighting Game

In this paper, we perform a visual analysis of gameplay in a fighting game. In recent years, game streaming is actively performed on platforms typified by Twitch. In order to cope with an increase in the number of users watching such streaming, a method for generating gameplay by AI and providing it to spectators has been recently proposed by our group. However, it is necessary to verify beforehand whether the generated gameplay is appropriate for streaming. Therefore, in this paper, we locate such an issue and describe our improvement plan.
Training recurrent Random Neural Networks: first and second-order techniques, reservoir models, numerical aspects

PSQA is a technology developed by the author during a period of several years, whose aim is quantifying the Quality of Experience (more precisely, the Perceived Quality) of an application or service built on the Internet around the transport of audio or video-audio signals. The main properties of PSQA are the its accuracy (indistinguishable from a subjective testing session), the fact that it is fully automatic, with no reference, and able to operate in real time. PSQA is based on supervised learning (the tool learns from subjective testing panels); once trained and validated, it works with no human intervention.In the PSQA project we selected the Random Neural Network tool for the supervised learning associated tasks, after a comparison with the available techniques at the beginning of the project. In the presentation we will recall all these elements, including the numerical aspects on the optimization side of the learning process, and then, we will focus in the current developments where the goal is to predict the Perceived Quality in the close future. This includes the description of the Reservoir Computing models for time series forecasting, and of a tool we invented called Echo State Queueing Network, which is a mix between Reservoir Computing and Random Neural Networks.
Morphometric variations and growth of the profile of the face in Chinese boys aged 4–15 years

Much research has been conducted on the morphological growth and development of Chinese children. However, very few facial measurements have been documented, especially of the sagittal plane of the face. Morphometric variations and growth of the sagittal plane of the face in children were analyzed using geometric morphometric method in this study. The studied sample consisted of 108 boys (4-15 years) from Huzhu County in Qinghai Province of China, which were divided into three groups: 4-6 years old, 7-11 years old and 12-15 years old. It was revealed that the landmark-groups of nose area were relatively long, indicating large variation in the direction of the nasal protuberance, which possibly reflected the vigorous growth of the children's nose. There were larger landmark-groups' variability ranges in children aged 7-11 years, which may be related to the rapid growth in this period. The average morphology of the sagittal plane of the face changed a lot with age, which was showed in the comparison of the averaged graph of three groups: (1) the proportion of the forehead to entire face became smaller; (2) the 7th landmark extruded more noticeably; (3) the nose became protruding; (4) the position of the mouth was relatively getting more upward, and the angle formed between the upper lip and the lower lip increased, and the lower lip moved forward; (5) the chin protuberated. Principal Component Analysis (PCA) revealed significant differences in the main distribution areas between age group 4-6 years and 12-15 years, even though there was a lot of overlap in the three age groups. Allometric analysis showed that the sagittal plane of the face aged 4-6 years and 7-11 years changed in the following way as the size increased: the forehead became vertical and the upper lip turned to be smaller. Additionally, as the size increased in age group 12-15 years, the most prominent landmark of the forehead became more conspicuous, and the bridge of the nose got more upturned. These may reflect the common morphological features and growing development of the facial sagittal plane of Chinese children.
Exploring and Improving Robustness of Multi Task Deep Neural Networks via Domain Agnostic Defenses

In this paper I explore the robustness of the Multi-Task Deep Neural Networks (MT-DNN) againstnon-targeted adversarial attacks across Natural Language Understanding (NLU) tasks as well assome possible ways to defend against them. Liu et al., have shown that the Multi-Task Deep NeuralNetwork, due to the regularization effect produced when training as a result of it’s cross task data, ismore robust than a vanilla BERT model trained only on one task (1.1%-1.5% absolute difference).I then show that although the MT-DNN has generalized better, making it easily transferable acrossdomains and tasks, it can still be compromised as after only 2 attacks (1-character and 2-character)the accuracy drops by 42.05% and 32.24% for the SNLI and SciTail tasks. Finally I propose a domainadaptable defense which restores the model’s accuracy (36.75% and 25.94% respectively) as opposedto a general purpose defense or an off-the-shelf spell checker.
Development of SECS/GEM LabVIEW Toolkit for GEM-compliant Semiconductor Equipment

In this project, the main goal is to develop SECS/GEM Library Toolkit for GEM-compliantSemiconductor equipment. The SEMI Equipment Communications Standard (SECS) /GenericEquipment Model (GEM) standards are widely adapted in the Semiconductor industry, but theSECS/GEM library are only available for in other programming environment such as C++ and Java,but not in LabVIEW. SECS/GEM standards are extensively used in this project to define the functionof the message in the library, such as Alarm Report and Event Report. The SECS/GEM messages arecoded in LabVIEW and LabVIEW are used for communication between the equipment and the devicerunning LabVIEW. This project follows heavily on the SECS/GEM standards developed bySemiconductor Equipment and Materials International Organization (SEMI), and the standardsallows for control and monitoring of GEM-compliant semiconductor equipment and pushes theindustry further ahead on the concept of Industry 4.0.Besides that, Implementation of SECS/GEM standards in the industry is discussed in this paper, fora wide variety of functions and tasks to either control or monitor the GEM-compliant equipment. Abrief introduction of LabVIEW is also included. Furthermore, the project methodology in the methodof implementation of SECS/GEM library in LabVIEW also included in this paper. The developmentof the LabVIEW Library Toolkit for GEM-compliant Semiconductor equipment is also completed inthis project.
Impact Assessment of Password Reset PRMitM Attack with Two-Factor Authentication

Two factor authentication is widely used, to send a confirmation message via Short Message Service (SMS). Two factor authentication is believed as more secure than a simple password authentication because it prevents intrusion even if your password was compromised. However, SMS is used not only for an authentication when registering an account but for resetting password, too. Hence, in 2017, Gelernter proposed the Password Reset Min-in-the middle attack (PRMitM), which can take over a user’s account by using Two Factor Authentication via SMS. In this attack, a password reset request is sent via an SMS message instead of an expected authentication request, and the user enters a reset code at the malicious man-in-the-middle website without recognizing that the code resets the password. Two factor authentication was believed to improve security, however, it makes the site more vulnerable than before. Even after their publication, not all vulnerable websites addressed the vulnerability. Hence, it is still not clear if these attempts were sufficient to prevent victims from being attacked. In this paper, we report the comprehensive analysis results of an investigation of vulnerable major websites to PRMitM attack. To identify the causes of vulnerabil- ity, we conducted experiments with 180 subjects. The SMS-message parameters were “with/without warning”, “numeric/alphanumeric code”, and “one/two messages”, and subjects were tested to see if they in- put the reset code into the fake website. We show the successful-attack ratios and the typical behaviors of vulnerable subjects. Some of main results include that Vulnerable users do not remember whether they have registered accounts or not and users who frequently change their passwords are 11.6 times more vulnerable to users who do not change much.
A Novel Spatio-Temporal Self-Supervised Framework to Improve the Generalization Ability for Left Ventricle Volume Quantification Based on CMR Data

The automated quantification of the left ventricular (LV) volume on MRI is a crucial step for cardiac disease diagnosis. In recent years, deep learning (DL) technology has been widely used in the field of ventricle quantification and achieves relatively higher quantification accuracy. However, the LV volume quantification is still a challenging task, mainly because of limited labelled data. Hence, this study aims to propose an innovative approach to achieve accurate LV volume estimation based on limited labelled data.. The proposed method is three-fold: (1) For the first time, we proposed a self-supervised framework to model the significant spatio-temporal correlation information of adjacent slices from CMR images. (2) We designed a deep learning network based on spatio-temporal ranking loss to achieve self-supervised training utilizing large-scale unlabelled CMR data. (3) An iterative optimization strategy was developed to achieve efficient model optimization. The deep learning network was trained and validated on cardiac MRI datasets from MICCAI 2012 LV segmentation challenge including 100 patients (50 training patients and 50 test patients).
YouTube Videos Produced by U.S. Public Libraries

Public libraries are increasingly posting content on social media platforms such as Facebook, Twitter, and YouTube. In this paper, we focus on YouTube videos produced by U.S. public libraries and identify the factors that increase their views. Specifically, we compared 107 popular videos (with over 700 views) and 109 unpopular ones (with less than 12 views) and analysed their differences. This research revealed that the unpopular videos were often too short (less than 30 seconds) or too long (more than 20 minutes). The popular videos overall were more informative than unpopular ones (e.g. with longer titles to identify the contents of the videos). Furthermore, the ratios of tutorials and story times for popular videos (28.0% and 21.5%, respectively) were significantly higher than those for unpopular ones (6.4% and 10.1%, respectively). The ratios of reports on events and event notices among popular videos (7.5% and 12.1%, respectively) were significantly lower than those for unpopular ones (26.6% and 25.7%, respectively).
OPTIMALISASI KINERJA TEKNIS PENGELOLAAN DAERAH IRIGASI JAMBO AYE DAN ALUE UBAY DI KABUPATEN ACEH UTARA

This study of research is to optimize and evaluate the technical performance of irrigation management in Jambo Ayen and Alue Ubay Irrigation Area in North Aceh District, so that the existing water resources system and the advantages of the two irrigation areas can be known. The experimental design used in this study is by literature study, and secondary data collection at several agencies. The results of this study indicate that the optimization of the average value of total efficiency ratio of water demand volume to water intake volume in Jambo Aye Irrigation Area is 81% and Alue Ubay 69%. Optimization of relative water supply in Jambo Aye irrigation area shows an average value of 2.82, irrigation area of Alue Ubay 2.33. The irrigation areas of Jambo Aye and Alue Ubay have average RPPA values with good category, that is 0.8-1.1. the indicator of maintenance of building effectiveness in Irrigation Area of Jambo Aye and Alue Ubay is 1. So it can be concluded that the optimization of the mean value of the total efficiency ratio of the volume of water demand to the volume of air intake is obtained to exceed the standard value of the technical irrigation network level.
An Exploratory Analysis on the Acceptance Model of Intelligent Information Technology - Application of Expectation and Innovation Theories -

본 연구의 목적은 4차 산업혁명과 디지털 전환이 이끄는 새로운 특성의 지능정보기술 확산에 따라 일반 시민들의 지능정보기술에 대한 수용성을 분석하는데 있다. 본 연구에서는 기술수용성 모형의 통합성 확보를 위해서 기대이론과 혁신이론을 결합하여 연구모형을 구성하였다. 분석결과를 볼 때 첫째, 개인의 사용의도나 사회적 사용지지에서는 혁신저항보다는 혁신수용이 결정적인 영향을 미치고 있다. 둘째, 혁신저항은 혁신수용을 통해 사용의도와 지지에 영향을 미치는 간접적 영향요인으로서 역할을 수행하였다. 변화긍정기대가 아닌 변화부정기대를 통해 저항으로 연계되고 있다. 셋째, 개인일자리 위협, 개인경제손실, 사회구조변화 등이 변화부정기대에 정의 영향을, 개인과업편익이 부의 영향을 미치고 있다. 넷째, 개인일자리 위협, 개인경제손실, 사회일자리위협, 개인지각된 유용성, 사회적 삶의 향상, 신뢰 등이 혁신수용에, 개인경제손실, 개인지각된 수용성, 지식 등이 혁신저항에 영향을 미치고 있다.This study aims to analyze the acceptance of intelligent information technology. The results of the analysis are as follows: First, innovation acceptance rather than innovation resistance had a decisive impact on individual intention or social support for the use of intelligent information technology. Second, innovation resistance played an indirect role of influencing the use and support for the new intelligent information technology through innovation acceptance, which is connected to resistance through negative expectation. Third, personal job threat and economic losses as well as social structural change had a positive impact on positive expectation about technology change, whereas personal task benefits had a negative effect on it. Fourth, innovation acceptance was positively influenced by personal job threat and economic losses, social job risks, personally-perceived usefulness, improved social life, and trust, whereas innovation resistance was affected by personal economic losses, personally-perceived acceptance and knowledge.
Pembinaan Bacaan dan Gerakan Sholat

The Qur'an as a miracle is not only a reading material although reading it will be rewarded, also to be understood, Dihayati, are, practiced and investigated the secrets of his patients. The implementation of the reading of the Qur'an is done using the method of shove, which is the student reading in front of the trainer who became the teacher and. As for the problem in the teaching of reading write Qur'an (BTQ) is all components of teaching itself covering the material that is less complete, the competence of the teaching less, the difference in the intelligence of participants, lack of teaching media. This activity was carried out with the following stages; 1) The recitation of the Qur'an, 2) practice guiding the Ordinances of prayer and Wudoo, and 3) the process of learning to teach through writing media and skills. As for the effort taken in the teaching of reading, Quran Qur'an includes trying to complement the facilities of infrastructure using a variety of methods.
SISTEM INFORMASI SERVICE BODY REPAIR PADA PT XYZ

PT. XYZ is a company engaged in the field of car repair which is currently experiencing rapid development is a service body repair. Body repair service is a four-wheeled vehicle repair service that provides body repair service for customers. By using a body repair service, customers will be greatly helped in knowing the condition of the car to be repaired, because the customer will know what the car will be repaired. The purpose of this research is to create an information system based on Java NetBeans that can help in making customer registration, mechanical processes and repair body repair. Problems that arise when employees for service body repair take a long time, also ascertain whether there is a service body repair desired by customers is available how long to be repaired. Keywords: Information, Services and Service Body Repair