Reviewerly/exHarmony huggingface dataset:
Perceptions of Chinese Students on Online Learning versus Face-to-Face Learning in the Bachelor of Science in Rehabilitation Science Program

Purpose: This research project aimed to investigate the perceptions of online learning versus face-to-face learning of Bachelor of Science in Rehabilitation Science (BSRS) Program students in Cohorts 2017, 2018 and 2019 in China. Methods: This quantitative study utilized a cross-sectional descriptive survey design involving 177 students from the BSRS Program. A link to the Qualtrics survey, which included a consent page, was sent to participants via social media platforms. Pilot testing of interviews was conducted to get an overlook of students’perceptions regarding both learning modalities. Survey questions were constructed according to the results of that pilot study. Results: Students preferred face-to-face to online learning (47% vs. 14%). Half of the respondents (45%) were equally motivated by face-to-face and online learning. Face-to-face learning was the most effective learning method (45%). Conclusion: Students gained more knowledge from face-to-face learning than online learning but concentrated well in both online and face-to-face classes. Face-to-face learning was the most popular teaching method and will continue to be in the near future, especially in Health Science Professions Education.
Distributed Diagnoses Based on Constructing a Private Chain via a Public Network

Secure online consultations can provide convenient medical services to patients who require experts from different regions. Moreover, this process can save time, which is critical in emergency cases, and cut medical costs. However, medical services need a high level of privacy protection that advances the difficulty of a construction method. It is a good idea to construct a virtual private chain through public networks by means of cryptology and identity verification. For this purpose, novel protocols are proposed to finish the package layout, secure transmission, and authorization. By mining the special characteristics of this application, two different kinds of encryption channels were designed to support the proposed protocol to ensure the secure transmission of data. And Hash values and multiple checking were employed in the transmission package to find the incompleteness of data related to network errors or attacks. Besides the secure communication of medical information, the Extended Chinese Remainder Theorem was utilized to finish the approval during a change in committee in emergency situations. Finally, example case was used to verify the effectiveness of the total methods.
A Study on Influential Features for Predicting Best Answers in Community Question-Answering Forums

The knowledge provided by user communities in question-answering (QA) forums is a highly valuable source of information for satisfying user information needs. However, finding the best answer for a posted question can be challenging. User-generated content in forums can be of unequal quality given the free nature of natural language and the varied levels of user expertise. Answers to a question posted in a forum are compiled in a discussion thread, concentrating also posterior activity such as comments and votes. There are usually multiple reasons why an answer successfully fulfills a certain information need and gets accepted as the best answer among a (possibly) high number of answers. In this work, we study the influence that different aspects of answers have on the prediction of the best answers in a QA forum. We collected the discussion threads of a real-world forum concerning computer programming, and we evaluated different features for representing the answers and the context in which they appear in a thread. Multiple classification models were used to compare the performance of the different features, finding that readability is one of the most important factors for detecting the best answers. The goal of this study is to shed some light on the reasons why answers are more likely to receive more votes and be selected as the best answer for a posted question. Such knowledge enables users to enhance their answers which leads, in turn, to an improvement in the overall quality of the content produced in a platform.
A Symmetrical Fuzzy Neural Network Regression Method Coordinating Structure and Parameter Identifications for Regression

Fuzzy neural networks have both the interpretability of fuzzy systems and the self-learning ability of neural networks, but they will face the challenge of “rule explosion” when dealing with high-dimensional data. Moreover, the structure and parameter identifications of models are generally performed in two stages, and this always attends to one thing and loses another in terms of interpretability and predictive performance. In this paper, a fuzzy neural network regression method (FNNR) that coordinates structure identification and parameter identification is proposed. To alleviate the problem of rule explosion, the structure identification and parameter identification are coordinated in the training process, and the numbers of fuzzy rules and fuzzy partitions are effectively limited, while the parameters of fuzzy rules are optimized. The symmetrical architecture of the FNNR is designed for automatic structure identification. An alternate training strategy is adopted by treating discrete and continuous parameters differently, and thus the convergence efficiency of the algorithm is improved. To enhance interpretability, regularized terms are designed from fuzzy rule level and fuzzy partition level to guide the model to learn fuzzy rules with simple structures and clear semantics. The experimental results show that the proposed method has both a compact structure and high precision.
Towards Demand-Driven On-The-Fly Statistics

Abstract A prototype of a question answering (QA) system, called Farseer, for the real-time calculation and dissemination of aggregate statistics is introduced. Using techniques from natural language processing (NLP), machine learning (ML), artificial intelligence (AI) and formal semantics, this framework is capable of correctly interpreting a written request for (aggregate) statistics and subsequently generating appropriate results. It is shown that the framework operates in a way that is independent of a specific statistical domain under consideration, by capturing domain specific information in a knowledge graph that is input to the framework. However, it is also shown that the prototype still has its limitations, lacking statistical disclosure control. Also, searching the knowledge graph is still time-consuming.
Phishing

Phishing is a cybercrime in active growth that could cause several damages for its victims, such as identity theft. Specifically, in the last years, cybercrime has been of particular concern due to several attacks developed against society in general. In this sense, understanding this phenomenon and the factors that may explain the susceptibility to this is essential. But it is also essential to know which of the traditional methods are used to study phishing susceptibility and the innovative ones. This chapter presents a complete study in this field, providing a theoretical and practical approach, by using a perspective that is simple and accessible to everyone. In the end, individuals, in general, will know more about the subject, and, academically, this provides important insights to better-developed studies in the phishing susceptibility field.
Interactive Voice Response for the Visually Challenged

Enterprise resource planning (ERP) is a type of software that businesses use to handle standard business processes including accounting, purchasing, project management, risk management, and supply chain management. ERP, which lets users observe daily operations and changes, is used by many organisations and academic institutions. In many schools and institutions, it is also used to give students access to information and updates about things like attendance, daily schedules, exam results, and other things. However, accessing the current generation of ERPs, which are widely used in colleges and universities, might be difficult for blind students. The solution to this problem is to develop a voice assistive application that links to the college/university database and allows visually impaired users to use voice commands to retrieve the data. With the use of this application, students may submit voice commands, and the user will hear the output as audio based on the input.
Investigating the Dark Side of Gaming Chat Applications

The current study investigates the dark side of using gaming chat applications for illegal activities like selling credentials, stolen credit cards, private data, sexual exploitation, and organizing groups on white supremacy. With the shutdown of many Darknet websites and illegal marketplaces, criminals are now switching to chat platforms that allow them to resume their operations easily and quickly. In addition, such communities can be utilized for recruitment and for providing instructions on how to commit crimes to individuals anywhere in the world. The study is grounded in social learning theory, as it explains how crime is learned through interactions on these applications. The goal of the current work is to explore further these platforms and to provide law enforcement with guidance and recommendations on how to integrate digital forensic tools more effectively and efficiently for investigating data generated on gaming chat platforms and preventing future crimes facilitated through these platforms.
Hand Gesture Recognition in Smart Cities

Smart cities are a blessing of modern technology. Using information and communication technology, the life of citizens has been improved with robust information sharing, which also results in increment of operational efficiency. Hand gesturing is considered as a suitable method to communicate or convey information in smart cities. It helps the people who are unable to speak; moreover, it helps the elderly people communicate with caregivers whenever they need help. This chapter consists of three major sections. In the first section, the authors have presented a detailed discussion on smart cities. The second section of this chapter mainly concentrates on human computer interaction (HCI) system In the third section, the vision-based gesture recognition systems are focused on by discussing the applications, working, and future of vision based gesture recognition systems. By providing a comprehensive overview of these topics, young researchers can gain a better understanding of the challenges and opportunities in these fields, as well as potential areas for future research.
Network Congestion Control Using Deep Convolutional Neural Networks

Network congestion is getting more and more severe day by day with the deployment of long-term evaluation (LTE) and 5G as more users get added to the networks. The issue gets even more severe with the rapid growth of e-commerce, online banking and entertainment platforms like Netflix, Amazon Prime, YouTube that generate a huge amount of traffic worldwide. In this chapter, the authors address this traffic congestion issue with a hand-held solution. Here they proposed a method that can be used for network congestion control. Simulation studies show the performance of the proposed method that works with 50% compression of the transmitted images which can reduce the size of image by 50% by keeping quality of service. The aim is to reduce the network traffic by half in both transmitter and receiver ends.
Hidden complexity at textual level and its cognitive implications for simplification

A wide range of text types1 such as recipes, manuals or some parts of pharmaceutical package inserts can be classified as instructional texts; hence readers are confronted with them in their everyday lives. These texts fall within the scope of Easy Language translation, since this language variety claims to be applicable to any domain of communication (Bock 2014: 31). Easy Language aims at producing accessible texts by enhancing their perceptibility and comprehensibility. Therefore, the complexity of the source text is reduced at different textual levels, including the semantic level (Hansen-Schirra/Maaß 2020: 18).
Pengaruh Bimbingan Belajar terhadap Kesulitan Belajar Matematika Siswa Kelas X MA Palapa Nusantara NW Selebung

This study aims to determine the effect of tutoring on the learning difficulties of class X students of MA Palapa Nusantara NW Selebung. The subject that is the focus of the research is Mathematics. This research is a quantitative research with experimental design. The subjects of this study were students of class X IPS MA Palapa Nusantara NW Selebung. Data collection techniques using questionnaires, documentation, interviews, and observations. The implementation of tutoring given to students who have learning difficulties is effective in improving the learning outcomes of class X IPS MA Palapa Nusantara NW Selebung for the 2021/2022 academic year. This can be seen from the acquisition value in the statistical analysis of 2.985. This value is greater than the ttable value at the 5% significance level, which is 1.658 and at the 1% significance level, it is 2.358. Therefore, the implementation of tutoring is effective in overcoming student learning difficulties, especially in Mathematics.
Sistem Manajemen Keuangan di Madrasah Mu’alimat Muhammadiyah Yogyakarta

This study aims to describe how the financial management system in the Mu'alimat Muhammadiyah Yogyakarta madrasa. This research uses descriptive qualitative research method. The results of this study indicate that the financial management system at Madrasah Mu'alimat Yogyakarta uses a one-year budget plan called RAPBM (Madrasah Revenue and Expenditure Budget Plan). Financial management in Madrasah Mu'alimat is divided into two parts; The first is taking care of all incoming finances, and the second is managing the various expenses needed for the madrasa. The financial system at Madrasah Mu'aliat is evaluated at the end of every month and regularly every month. This evaluation explains the amount of budget money, expenses and income. Therefore, the management system at the Mualimat madrasa must be transparent and accountable in carrying out madrasa financial reports.
Analisis Kesulitan Belajar Membaca (Disleksia) dan Kesulitan Belajar Menulis (Disgrafia) Siswa Kelas I SDN Tanah Tinggi 3 Tangerang

Learning difficulties are a condition in which students do not learn properly because there are certain disorders. This study aims to analyze reading difficulties (dyslexia) and writing difficulties (dysgraphia) in the first grade of elementary school. The research method used is descriptive qualitative. The subjects of this study were first grade students at Tanah Tinggi 3 Elementary School, Tangerang City, totaling 1 person and first grade teachers. The data collection procedures used were observation, interviews and documentation. The results showed that the first grade students of 24 students had difficulty learning to read (Dyslexia) and difficulty learning to write (Dysgraphia). The results showed that difficulties in learning to read (Dyslexia) and difficulties in learning to write (Dysgraphia) that occurred in grade I included slow writing, errors in writing the letters of the alphabet, stammering in reading caused because students had not memorized the letters of the alphabet, lacked comprehension skills. respond to questions from the teacher and hesitate to answer questions from the teacher.
Meningkatkan Prestasi Belajar IPA melalui Penerapan Metode Round Table Masa Pandemi Covid-19 pada Siswa Kelas VIII-B SMPN 1 Sukamulia

The purpose of this study was to determine the increase in science learning achievement through the application of the round table method. The subjects of this study were 31 students of Class VIII-B SMPN 1 Sukamulia in the academic year 2020/2021, consisting of 15 male students and 16 female students. The type of research used is Classroom Action Research (CAR) with the class action process carried out in 2 cycles, consisting of 4 continuous stages, namely: (1) planning, (2) implementation, (3) observation, and (4) reflection. Data about learning activities were collected using observation techniques and data about student learning outcomes were collected from the results of the learning evaluation held at the end of each cycle and then analyzed using the rubric of the rating scale and also analyzed qualitatively and quantitatively by the researcher. The performance indicator in this study is that the research is said to be successful, if every student who takes the test reaches a minimum KKM of 70 and the percentage of students who succeeds in achieving a minimum KKM of 85%. Based on the results of research that has been carried out for two cycles, by the observer and the entire discussion as well as the analysis of student learning outcomes that have been carried out by the researchers themselves, it can be concluded that the first cycle of learning outcomes with classical completeness is 65% and the average value is 72.58 while the second cycle results studied with 87% classical completeness and an average score of 85.48. Thus the use of the round table method can improve science learning outcomes for class VIII-B students of SMPN 1 Sukamulia for the 2020/2021 school year.
Peningkatan Prestasi Belajar IPA melalui Model Pembelajaran Group Investigation (GI) Masa Covid-19 pada Siswa Kelas VII-A SMPN 3 Masbagik

This research is a classroom action research (CAR) aimed at improving science learning achievement which is carried out in class VII-A students of SMPN 3 Masbagik by using the Model Group Investigation (GI). The researcher conducted an action research with the aim of knowing the increase in science achievement in class VII-A SMPN 3 Masbagik through the application of the Group Investigation (GI) learning model. Based on the results of research and discussion of the GI learning model, it can increase the activities and science achievements of class VII-A students of SMPN 3 Masbagik in the odd semester of the 2020/2021 school year. This increase can be seen from the acquisition of student activity scores, teacher activity and class average scores as well as classical completeness levels in each cycle which have increased both in cycle I and cycle II. Based on the results of data analysis in each cycle, it appears that the results from cycle I to cycle II have increased. In the implementation of learning and the results of the first cycle of data analysis, for student activities an average value of 2.84 was obtained and student activities in the second cycle obtained an average class value of 3.85 while classical completeness was obtained in cycle 1 of 66% and increased in cycle 2 by 94%
Peningkatan Hasil Belajar IPS melalui Pembelajaran Kooperatif Model Numbered Head Together (NHT) Masa Covid 19 pada Siswa Kelas VIII-4 SMPN 2 Keruak

This type of research is classroom action research (CAR). The target of this research is the students of class VIII-4 SMPN 2 Keruak. The purpose of this classroom action research (CAR) is to determine the extent to which students' learning outcomes in social studies are improved by applying the Nimbered Head Together Method. In this classroom action research (CAR), it is carried out in 2 cycles, from the results of the actions taken it is proven to be able to improve student learning outcomes by achieving the classical mastery that is set at 85%. Classical completeness of 81.25% was obtained in the first cycle, it could increase in the second cycle to 93.75%. In terms of student activity, there was also an increase, namely in the first cycle, the moderately active category increased to an active category. The results of this action research indicate that the application of the Numbered Head Together Method can improve student learning outcomes in social studies lessons with completeness reaching 100%.
Peningkatan Hasil Belajar Bahasa Inggris melalui Penerapan Metode Demonstrasi Masa Pandemi Covid 19 pada Siswa Kelas IX-A SMP Negeri 3 Masbagik Tahun Pelajaran 2020/2021

This Classroom Action Research was conducted by applying the demonstration method to improve English learning outcomes for grade IX-A students of SMPN 3 Masbagik. This Classroom Action Research (CAR) was conducted with the aim of knowing the improvement of English learning outcomes through the application of the demonstration method to class IX.9 students of SMPN 1 Masbagik in the 2020/2021 school year. This Classroom Action Research (CAR) was carried out in stages 2 cycles, and from the results of the actions that have been carried out it has been proven to improve student learning outcomes both in terms of classical student learning completeness, namely in the first cycle of 72%, it can increase to 86% in the second cycle. means that there is an increase of 14% and in terms of the average value of the evaluation results there is also an increase.
Peningkatan Prestasi Belajar IPS melalui Penerapan Model Kooperatif Make a Match Masa Covid-19 pada Siswa Kelas VII- C SMPN 3 Masbagik Tahun Pelajaran 2020/2021

This research is a class action research (CAR) aimed at improving Social Studies learning achievement which is carried out in class VII-C students of SMPN 3 Masbagik using the Make a Match Learning Model. The researcher conducted an action research with the aim of knowing the improvement of social studies learning achievement in grade VII-C students of SMPN 3 Masbagik through the application of the Make a Match learning model. Based on the results of research and discussion of the Make a Match learning model, it can improve social studies learning activities and achievement for class VII-C students of SMPN 3 Masbagik in the odd semester of the 2020/2021 school year. This increase can be seen from the acquisition of student activity scores and the average class value and the level of classical completeness in each cycle has increased both in cycle I and cycle II. Based on the results of data analysis in each cycle, it appears that the results from cycle I to cycle II have increased. In the implementation of learning and the results of the first cycle of data analysis, for student activities an average value of 3.00 was obtained and student activities in the second cycle obtained an average grade of 4.40 while classical completeness was obtained in the first cycle of 68% and increased in cycle II by 90%