Reviewerly/exHarmony huggingface dataset:
Conceptual Content Analysis: Policy Documentation for the Quality of Higher Education in Pakistan

We are living in the age of quality competition, in marketing term, everything in the time is only alive until it sustains its quality. If something is elapsing its quality is it means that is endingits existence from the world gradually. The leading aim of the existing paper was to analyse the content related to quality and quality assurance process of higher education in Pakistan.
Students' Reading Skills in Science Lessons in the Education 4.0 (E4.0)

Low interest in reading is a problem that must be overcome. To overcome this problem of intense interest in reading, steps must be taken are optimizing the literacy movement for students. To overcome the problem of common interest in reading, parents have an essential role. Apart from parents, the family environment is also very decisive in fostering interest in reading for their sons and daughters by giving gifts to read on historic days, such as providing storybooks to children. This article uses qualitative research. Research informants conducted in this study were the principal of SMAN 17 Palembang and the head of administration as critical informants and school assistants and educators as supporting informants. Data collection techniques in this study are through observation, interviews, and documentation. Data analysis techniques include data reduction, presentation, verification, and conclusion. The results showed that implementing the Reading Tradition of Class X Students of SMAN 17 Palembang was exemplary. This could be seen from 1) the frequency (often or not) visiting the library or reading garden twice a week; 2) the visiting time is 1– 2 hours; 3) the type of reading; 4) the number of reading sources read; 5) determines and trains students' habits in fostering interest in reading. Several activities are carried out to foster reading interest: 1) there should be students' interest in reading first; 2) motivate students, and 3) strategies for learning to read that are relevant and reading diligently will improve students' creative thinking skills.
Determinants of teacher’s readiness to implement e-learning in the University of Fallujah

The study aimed at exploring the determinants that influenced teacher’s readiness to implement electronic learning in a public university in Iraq. These determinants were classified into three categories including (teacher personality, institutional factors, and situational factors). A questionnaire was distributed to (200) lecturers who constituted the sample of the study at the faculties of the University of Fallujah in Iraq. Based on the hypotheses, the study revealed that there isn’t a statistically significant positive effect of teacher’s personality on their readiness to implement e-learning. As well, the study indicated that there isn’t a statistically significant positive effect of institutional determinants on teacher’s readiness to execute e-learning. Finally, the study concluded that there isn’t a statistically significant positive effect of situational determinants on instructor’s readiness to apply e-learning.
Functions

Functions are constructs intended to eliminate redundancy or pseudo-redundancies. These block structures show the significance of input-output principles in software development. The notion of functions is fully described in context using both abstract explanations and concrete examples. Parameters are presented as the input, namely as means of one-way communication with the function, whereas the return value is presented as the output of a function.
Artificial Intelligence Based on Identifying Face Mask Wearing Detection Using Recurrent Neural Network

COVID-19 has established a brand new frequency, and people have started realizing that they are entering a new world. The society is currently undergoing rapid change and needs to respond rapidly to fresh norms which surround us all. Creating a risk-free environment is a priority for everyone as life has not been as conductive as before brand new plans are methodized daily to adapt to policies and controls. The facial mask detection platform uses artificial intelligence see if the user is wearing a mask. App users can also add faces and phone numbers to warn themselves if they are not wearing a mask. A notice is issued to the administrator if the face captured by the camera is not recognized. Several COVID tracking tools are acceptable and safe in many aspects of the society. The most important tool is mask inspection using the proposed method, the artificial intelligence-based recurrent neural network (RNN) algorithm is enabled to capture the input image from the image classification in the dataset. However, in the overlapping scene, a different size and localization face mask detector provide a plurality of face images of the detected face. Detected faces extracted from this are grouped based on the human face detection. The recurrent neural network (RNN) algorithm using classifier and detection the mask or unmasked faces classifier. If the result is decoded from the stage, the final output is detected using all face images in the image correctly and then a message is sent to the surface and e-mail send that is not either of the mask or unmask.
Exploring the Impact of Electronic Health on Total Quality Management in Jordanian Hospitals: The Mediating Role of Knowledge Management Technology

The aim of this study is to measure the impact of electronic-health (e-health) on total quality management (TQM) through knowledge management (KM) technology as a mediating variable at the hospitals of Irbid Governorate in Jordan. Six elements of the e-health variable were considered, including e-health records, e-data transmission, e-medical prescriptions, video consultations, medical image sharing, and continuous medical learning. A questionnaire was designed and distributed to a sample of 600 individuals working at 15 different hospitals that apply an e-health system in the Irbid Governorate in Jordan; 566 questionnaires were deemed valid for statistical analysis. The results of this study show that there is a statistically significant impact of e-health on TQM, at level P ≤ 0.05, through the mediating role of KM technology at Irbid Governorate hospitals in Jordan. Although the data were collected from hospitals at the Irbid Governorate in Jordan only, it is hoped the results will have some validity for the rest of hospitals in the Jordanian health system. The most significant recommendation of the study with practical implication is to set TQM as an administrative approach at the hospitals of the governorate of Irbid in Jordan, and require the adoption and implementation of an e-health system as a requirement for all Jordanian hospitals to acquire local accreditation certificate with the overall goal of improving the quality of healthcare.
Efektivitas Media Video Animasi dan E-Book terhadap Pengetahuan Remaja dalam Penatalaksanaan Penyalahgunaan Narkoba

This study aims to determine the effectiveness of animated video media and e-books on adolescent knowledge in managing drug abuse at SMPN 19 Jambi City. The method used is a quasi-experimental two-group pretest-posttest. This research was conducted at SMPN 19 Jambi City, involving 47 respondents. The sampling technique was carried out by proportional random sampling and analyzed using the paired sample t-test. The results showed that the average value of knowledge before and after being given education with animated video media and e-books increased. The average difference in knowledge before and after being given health education with animated video media is 1.3; the difference in the average value of knowledge before and after being given health education with e-book media is 1.25%; the p-value of knowledge after providing education using animated videos is 0.001, while e-books are 0.000. In conclusion, animated video media and e-books effectively increase adolescent knowledge in managing drug abuse at SMPN 19 Jambi City. &#x0D; Keywords: E-Book, Knowledge, Youth, Animated Video
Improving the Resistance of Digital Watermarks in Streaming Videos Based on Differential Energy Watermarking (DEW)

In connection with the continuous growth of the amount of digital information and the wider use of the Internet, today’s urgent task is the protection of copyright with the help of steganography. In particular, the technologies of digital watermarks (DWM) are successfully used to solve the problems of confirming copyright in relation to digital files, controlling their use by authorized users and other persons, confirming the authenticity and reliability of copies of software and multimedia objects used. An algorithm for embedding digital watermarks based on the idea of a differential energy watermark (DEW) was chosen for research and further improvement in the work, and is a method of embedding a digital watermark based on the selective rejection of a part of the high-frequency coefficients of the discrete cosine transform (DCT) compressed images and videos. Based on the results of the work carried out, this article describes the improvement of the method for copyright protection of streaming video (MPEG2 and MPEG4 formats) by embedding a digital watermark only in the low-frequency coefficients of the discrete-cosine transformation and applying the Canni’s segmentation method, which uses a multi-level computational approach to the detection of the segment boundaries in the image and helps to reduce the visual changes of the container. In order to study the practical results of the improved method, it was implemented in the developed online service and applied to video files, which made it possible to evaluate the performance and compare it with other methods of embedding the DW in terms of visual impact indicators (SSIM, SNR, PSNR, AD, NAD, IF) and resistance to attacks. According to the results of the study, it was concluded that in general, the application of the improved method allows to increase the stability indicators of DW in streaming video by approximately 12%. The digital watermark embedded in the video file did not have a significant impact on it, and the embedding of data in low-frequency coefficients made it possible to increase resistance to attacks.
СУБ’ЄКТНІСТЬ ЗДОБУВАЧІВ ПЕДАГОГІЧНОГО ЗВО У МІНЛИВОМУ ОСВІТНЬОМУ СЕРЕДОВИЩІ

The article is aimed at identifying the levels of development of the subjectivity of students of the pedagogical university and their connection with the ability for joint (cooperative) interactions in changing learning conditions. In the course of the conducted research, data were obtained on the level of development of the stages of subjectivity and subject qualities that ensure activity in communicative interactions. The research was of pilot nature and will be continued in the future on a wider sample of students. However, the obtained results indicate the need for a wider use of active methods of teaching students of pedagogical higher education. First of all, it is about the development of such subject qualities that would ensure the practical application of the acquired knowledge as a means of learning, including the ability to subject-generative and subject-joint types of interaction in the learning process. The obtained results make it possible to affirm that transferring the training process of future teachers to middle school increases the number of 5th year students with a high degree of expressiveness of “low” stages of subjectivity and reduces the number of students with a high degree of expressiveness of “high” stages. Correlation analysis (r-Spearman) revealed a smaller number of connections between stages of subjectivity and characteristics of communicative interactions in the sample of the 5th course. A. Karpov’s method of structural analysis made possiblity to conclude that the structure formed in the 4th year of the studied parameters undergoes serious changes when the learning process is transferred to the middle of a general school: the index of organization of the structure in the sample of the 5th year is lower than in the sample of the 4th of the course, which indicates the appearance of breaks in the ties of educational and communicative subjectivity.
THE EFECT OF CLASSROOM INTERACTION IN IMPROVING STUDENTS’ SPEAKING SKILL

The objective of this study was to find out the significant difference before and after the students being treated by classroom interaction strategy in speaking class. The researcher used quantitative method and preexperimental design to analyze research problem. This study was conducted to the second grade students of SMAN 6 Garut on 21th July until 5th August 2016. The data were collected through a speaking test, the test was consists of expressed argumentative text. Firstly, students had to express their opinions about the phenomenon surrounding without being given treatment. In this test, the researcher gave the topic about social media. Secondly, the students expressed their opinions after treatment. The treatment was the researcher teach the students how to expressing opinion, asking other people’s opinion and saying agreement. The test was given to measure the students’ speaking skill after treatment. The researcher investigated the data and collected the score pretest and post-test based on the scoring system. In analyzing the data, the researcher calculated the data used t-test, the researcher checked the normality of the data using Liliefors test to find out whether the distribution of data was normal, and so the researcher used t-test to clarify whether or not his hypothesis is accepted. The research findings showed that was a difference before and after the students being treated classroom interaction in speaking class. The result of the data showed that = 8,374 was greater than = 2,924. It proved that the result of post-test was better than the result of pre-test. In order to find out the significance of the improvement between pre-test and post-test, t-test was applied. After having the test of significance, the result of pre-test showed that the average score of pre-test was 67. Whereas, the averages score of post-test were 73. From the data showed, the result of the post-test in speaking test was better than the result of pre-test. From the result, it could be concluded that there are the significance of the improvement from pretest and post-test
Measuring the Level of Citizens' Satisfaction with the Performance of the Municipality: A Case Study of Pul-e-Khumri Municipality

This article tries to use the perspective of the citizens of Pul-e-Khumri city to measure their satisfaction with the performance of the city manager in the field of urban services understudy and measurement. For this evaluation, using theoretical studies, 32 types of municipal services in three sections public services, infrastructure, and culture were selected. In the next step, a research questionnaire was designed based on these services. Then 415 questionnaires were distributed among the citizens of the study city. In the next step, 395 complete and error-free questionnaires were collected and entered into SPSS software. Finally, the research results were analyzed using a one-sample t-test. The results showed that the average satisfaction of citizens with the quality of public services in Pul-e-Khumri was equal to 2.34. The average satisfaction with the quality of infrastructure services in Pul-e-Khumri is equal to 2.05, and also the average satisfaction with the quality of cultural services in Pul-e-Khumri is equal to 2.02. It can be said that the level of citizens' satisfaction in the three sectors of services mentioned is below the average level (3). The results of statistical analysis showed that concerning all municipal services, the results have a significant level of less than 0.05. Citizens' satisfaction with municipal services is below average because the average difference between all municipal services with the test statistic is calculated negatively and is lower than the average (3). The level of satisfaction of the citizens of Pul-e-Khumri city with all municipal services is below average.
Scalable and fault-tolerant selection method of verification and accounting nodes for permissionless blockchain

The transaction processing mode of the permissionless blockchain with the PoW protocol is to generate transaction block through network-wide competition and perform transaction verification by all the nodes jointly, resulting in wasted computing power resources and low throughput as bottlenecks for its application in industrial fields with high-frequency transactions. In order to enhance the transaction processing performance of the blockchain system and meet the actual security requirements, we propose a scalable and fault-tolerant selection method of verification and accounting nodes. Firstly, combined with the advantages of PoW, we apply the computationally difficult problem in the selection method of the verification set, which can fully utilize computing resources and ensure the efficiency of transaction verification. Afterwards, a fault-tolerant selection method of accounting node is designed by constructing the verifiable random number using threshold signature, which can ensure the robust operation of the system in the presence of malicious nodes. The newly developed method has the following advantages: it has fault-tolerant characteristics; the method can be applied to systems with Byzantine or non-Byzantine errors, and is appropriate for practical application scenarios. It has compatibility, the method can be seamlessly integrated into Byzantine fault tolerance, crash tolerance, threshold voting and other consensus protocols to improve the performance of the protocol. It has versatility, the method can be applied to both single blockchains and sharding blockchains to demonstrate its versatility and flexibility. Finally, the results of the security analysis and experiment show the method is of superiority and effectiveness.
Technical Talk: A SYCL Extension for User-Driven Online Kernel Fusion

Heterogeneous programming models such as SYCL allow developers to integrate a variety of accelerators found in today’s heterogeneous systems into an application with ease. However, while offloading specific tasks to specialized accelerators can deliver significant performance improvements for many applications, short-running device kernels remain a challenge for most heterogeneous programming models.
English Language Acquisition of Indonesian Kindergarten Students in Tahsin for Kids Madania Foundation Australia

Purpose - The objectives of this research are to find out the methods used by Indonesian students in acquiring their English proficiency and to recognize the challenges and strategies of Indonesian student in acquiring their English proficiency in foreign country.&#x0D; Design/methodology/approach - The research methodology used in this research was descriptive qualitative. The techniques of collecting data were interview, documentation, and audiovisual and digital materials to gather the data. The subjects of this research were kindergarten students in Tahsin for Kids Madania Foundation in Australia.&#x0D; Findings/results – The writer concluded that most of Indonesian students who live in foreign country used English as their second language. While the challenges of acquiring English are flip translation, teaching suitable and correct English, learning English from Indonesian parents, preparing the parents and children before enrolling kindergarten, and child speech delay.&#x0D; Originality/value - There are a lot of method used by indonesia students in acquiring English, it given by their closer environment such as family at home, teachers and friends at school.&#x0D; Paper type – Research paper
MYC: A Moroccan Corpus for Sentiment Analysis

Due to a shortage of resources for studying opinions and feelings in Arabic dialects, the task to identify the polarity of sentiments in the Arabic web is a challenging task. In this paper we present MYC a Moroccan YouTube Corpus of manually annotated comments with the aim of facilitating the task of sentiments analysis of Moroccan dialect in the web. Comments are collected from the wildly used website YouTube and manually annotated by several annotators. Using the voting approach, we created the largest Moroccan dialect subjectivity corpus of 20 000 comments labeled into positive and negative comments and including some other information (topic, likes and dislikes). This dataset could be a useful tool for the creation of Moroccan dialect-specific NLP applications in the future. In the trials, Support Vector Machines (SVM) and Naive Bayes (NB), two well-known supervised learning classifiers, were used to categorize comments as positive or negative, using a distinct set of parameters for each. Each classifier’s recall, precision, and F-measure are computed. Both SVM and NB do well in terms of precision. The acquired results encourage us to move further with additional Moroccan comments from different videos in order to generalize our model.
Adaptive Hybrid Optimization Learning-Based Accurate Motion Planning of Multi-Joint Arm

Motion planning is important to the automatic operation of the manipulator. It is difficult for traditional motion planning algorithms to achieve efficient online motion planning in a rapidly changing environment and high-dimensional planning space. The neural motion planning (NMP) algorithm based on reinforcement learning provides a new way to solve the above-mentioned task. Aiming to overcome the difficulty of training the neural network in high-accuracy planning tasks, this article proposes to combine the artificial potential field (APF) method and reinforcement learning. The neural motion planner can avoid obstacles in a wide range; meanwhile, the APF method is exploited to adjust the partial position. Considering that the action space of the manipulator is high-dimensional and continuous, the soft-actor-critic (SAC) algorithm is adopted to train the neural motion planner. By training and testing with different accuracy values in a simulation engine, it is verified that, in the high-accuracy planning tasks, the success rate of the proposed hybrid method is better than using the two algorithms alone. Finally, the feasibility of directly transferring the learned neural network to the real manipulator is verified by a dynamic obstacle-avoidance task.