Reviewerly/exHarmony huggingface dataset:
Research on the Chinese Learning Motivation of Indonesian UMRAH University Students 印尼UMRAH大学生汉语学习动机研究

Modern Chinese includes the basis of phonetics, vocabulary, grammar, and Chinese character teaching.Mandarin teaching has four language skills teaching, listening, speaking, reading, and writing.Mastering these four language skills often requires a combination of phonetics teaching.In addition, mastering language skills and teaching foundation are external factors, and learning motivation is the internal factor that guides students to learn, and is also the purpose of keeping students in learning.The improvement and maintenance of learning motivation not only rely on the students' own efforts, but teachers should also stimulate students' learning motivation through various teaching designs.Statistical analysis method used in this article; this article mainly studies the study of Chinese learning motivation of Indonesian UMRAH college students.It is hoped that through statistical investigation and analysis, it can provide teachers and students of UMRAH University with more targeted teaching methods so as to further enhance students' learning motivation.
Impact of Self C Parameter on SVM-based Classification of Encrypted Multimedia Peer-to-Peer Traffic

Home users are increasingly acquiring, at lower prices, electronic devices such as video cameras, portable audio players, smartphones, and video game devices, which are all interconnected through the Internet. This increase in digital equipment ownership induces a massive production and sharing of multimedia content between these users. The supervised learning machine method Support Vector Machine (SVM) is vastly used in classification. It is capable of recognizing patterns of samples of predefined classes and supports multi-class classification. The purpose of this article is to explore the classification of multimedia P2P traffic using SVMs. To obtain relevant results, it is necessary to properly adjust the so-called Self C parameter. Our results show that SVM with linear kernel leads to the best classification results of P2P video with an F-Measure of 99% for C parameter ranging from 10 to 70 and to the best classification results of P2P file-sharing with an F-Measure of 98% for C parameter ranging from 30 to 70. We also compare these results with the ones obtained with Kolmogorov-Smirnov (KS) tests and Chi-square tests. It is shown that SVM with linear kernel leads to a better classification performance than KS and chi-square tests, which reached an F-Measure of 67% and 70% for P2P file-sharing and P2P video, respectively, for KS test, and reached an F-Measure of 85% for both P2P file-sharing and P2P video for chi-square test. Therefore, SVM with linear kernel and suitable values for the Self C parameter can be a good choice for identifying encrypted multimedia P2P traffic on the Internet.
The Essence of the Blockchain Technology Used in the Smart Contract and Legal Problems

Blockchain and its practical realization as cryptocurrency in particular, is the subject of serious discussions both in the world of computer technology and in the financial industry. People who have been able to access the basic aspects of blockchain networking principles are quite quick to conclude that the origin and subsequent development of this technology could significantly change the picture of the modern world. A document created by Satoshi Nakamoto in 2008 what's more, the Bitcoin project was the first practical implementation, based on blockchain technology, which turned out to be unnoticed by the world at that time. However, during this period, there were still people who paid their attention to it, it was also because they had a professional interest. However after some time when the society noticed how fast the price of one Bitcoin was rising and reached thousands of dollars they realized that it was not funny and on the contrary had a great future1 . The real representation of interest in blockchain projects started in the first half of 20162 From this period Georgia joins this project and the Public Registry is one of the first to start the land registration through blockchain3 .
TEACHING ENGLISH USING TWO STAY TWO STRAY (TS-TS) IN IMPROVING STUDENTS ENGLISH SPEAKING SKILL AT SMKN 2 PRAYA TENGAH

This research investigated the teaching of English by using Two Stay Two Stray to improve the students’ speaking skill in the 10th grade students of SMK Negeri 2 Praya Tengah, West Nusa Tenggara Province. The participants of this research were 28 students. The research utilized a classroom action research. The research covered two cycles and each cycle consisted of four steps, they were; planning, acting, observing, and reflecting. The research consisted of two cycles and each cycle applied three parts, such as; pre-test, treatment, and post-test. The data collected were qualitative and quantitative data. The qualitative data were gained through observation and documentation. Meanwhile, the quantitative data was collected from the test. The researcher used SPSS 16.00 in analyzing the quantitative data. The researcher found that there was a significant improvement on students’ speaking skills after giving treatment using Two Stay Two Stray in cycle I and cycle II. The improvement of using Two Stay Two Stray in improving the students’ speaking skill was significant. It can be seen from the cycle I up to the cycle II. The result of the cycle I showed that the mean of post-test is higher than the the pre-test. The mean of post-test was 66.14 and pre-test are 60.50. In the cycle II, the mean of post-test is higher than the mean of the pre-test. The mean score of post-test was 76.28 and pre-test are 66.14. The researcher concluded that using Two Stay Two Stray improved the 10th grade students’ speaking skill at SMK Negeri 2 Praya Tengah, West Nusa Tenggara Province.
Utopian Learner - Centric English Classroom in Outcome- Based Education

There has been a shift in the methodology of teaching from teacher- centric approach to learner-centric approach in all levels of education; however, the curriculum and syllabus designed as well as method of evaluation force the teachers and students to follow the teacher-centric approach in English language classrooms.This article discusses the reforms to be made in the curriculum, syllabus and evaluation methodology in English language teaching and learning in outcome-based education .
Image Recognition of Bird Pecking Defects in Composite Insulators Based on Improved HED Network

Bird pecking damage may affect the performance of the composite insulator in service by increasing the probability of intense surface partial discharge activity, which directly threatened the safe operation of the power grid. Using reasonable composite insulator damage identification technology to identify damaged insulators in time is vital to preventing transmission line accidents. To recognize composite insulator damage, a bird pecking defect image recognition method based on an improved HED network is proposed. Firstly, as a result of preprocessing the collected images, the median filter algorithm smooths out the images and the Retinex algorithm reduces the influence of uneven illumination and improves the accuracy of composite insulator damage image recognition. Secondly, based on the semantic segmentation method, a mask containing semantic information of composite insulator target area is obtained, and the sample is divided into background area and composite insulator target area. Finally, the edge features of bird pecking defect of composite insulator are extracted by HED image recognition method, and the bird pecking damage recognition of composite insulator is completed. The experimental results demonstrate that the proposed method is effective in identifying bird pecking damage of composite insulators, as well as improving the efficiency of power grid operations.
RESEARCH OF PSYCHOLOGICAL FEATURES OF COURSEOF THE STUDENTS’ INTERNAL PERSONAL CONFLICTS DURING STUDY

Мельничук С
Development of a Taiwanese Speech Synthesis System Using Hidden Markov Models and a Robust Tonal Phoneme Corpus

The number of young native speakers of Taiwanese, the variant of Southern Min spoken in Taiwan, has decreased. Technological advancements such as text-to-speech (TTS) systems could help arrest this decline. The aim of this study was to design a robust tonal phoneme corpus and a speech synthesis system for Modern Literal Taiwanese (MLT). MLT subsyllables were analyzed using phonetics and phonology to establish tonal phoneme models. These robust tonal phoneme models and hidden Markov models were used to construct an MLT TTS synthesis system. Algorithm-based training resulted in 869 balanced sentences containing 12,544 syllables, with each sentence containing an average of 14.4 syllables. In total, 218 sentences, which included rare phonemes, were manually drafted to supplement the corpus. The synthesized phonemes were deemed to have high intelligibility and could be included in the developed TTS system. According to the HTK speech recognition tool, the overall phoneme recognition rate was 96.47%. Testers, who were native Taiwanese speakers, assigned the synthesized sentences a mean opinion score of 4, indicating that they sounded natural. This developed system and the results described herein can inspire future developments in speech technology and computational linguistics.
Comparison of the Examination Policy and the Lottery Policy in Entering Schools

To produce a comparison study between the examination policy and the lottery policy, this paper used the admittance policy in the city of Shanghai as the primary example and Xi'an as the reference.By contrasting these policies, it can be demonstrated that fundamental changes have occurred in society including schooling structures and family building as a result of these reforms, which displays the beneficial aspects of the lottery policy.Finally, the methods of improving the lottery policy and China's educational system will be discussed.
THEORETICAL ISSUES IN DIGITAL TRANSFORMATION AT HANOI METROPOLITAN UNIVERSITY IN THE CONTEXT OF THE 4.0 INDUSTRIAL REVOLUTION

People have mentioned more about digital transformation in the last few years, especially in the economic, business, and service sectors. In education, it is not until the Covid-19 pandemic breaks out on a global scale that stagnates all socio-economic activities students cannot come to school. Digital transformation is a process whose results can be a completely new educational appearance, with new methods, techniques, tools, and means. This article analyzes some theoretical and practical backgrounds in digital transformation activities nationally and internationally. At the same time, some orientations on the development plan of digital transformation activities at Hanoi Metropolitan University. Keywords: Digital Transformation, 4.0 Industrial Revolution, Information Technology.
The Victim Blaming: Reports of Female Murder Victims on Online Media

News that discusses the theme of women often position women unequally.Moreover, in the case of murder, the female victim is actually considered the cause of the crime that happened to her.The purpose of this study is to analyze the strategy of blaming the victim against women victims of murder in crime news and to analyze the structure of ideas that are arranged in packaging the meaning of blaming the victim in cases of murder of women.The method used is descriptive qualitative research method.Qualitative methods are method which research findings are not obtained through statistical or quantitative methods, but rather emphasize the quality of social phenomena.In this study, it was found that female victims are described in more detail both in terms of identity and other attributes.The news leads to blaming the victim by taking advantage of the stigma of women in society.
Super-Resolution Using Residual Channel Similar Feature Attention Network

With the help of deep learning (DL), the DL-based methods acquired promising results in image super-resolution (SR). Many researchers employed channel attention (CA) inside the model for preserving information-rich features during feature extraction and improving the model performance. In this paper, unlike previous works which only refer to the features in the same branch to obtain the attention matrix, we propose a Residual Channel Similar Feature Attention Network (RCSFANet) which employs similarity features of different branch channels to capture the attention matrix. Specifically, the similarity attention matrix is applied to the whole model to bias the allocation of available processing resources and selectively emphasize interdependent channel maps. Meanwhile, we design a residual in residual structure that allows abundant information in LR images directly through multiple skip connections, making the network focus more on learning high-frequency information. Extensive experiments validate our RCSFANet achieved better accuracy and visual improvements. It can reconstruct high-quality images and outperform other methods.
STUDENTS’ READING COMPREHENSION IN LEGEND BY USING MAKE A MATCH

The aims of the research were to find out the students’ reading comprehension in legend before using Make a Match Strategy, beside, to know the students’ difficulties in improvement reading comprehension by using Make a Match Strategy, and also to find&#x0D; out the students’ improvement by using Make a Match Strategy in reading comprehension at the grade VIII of SMP Negeri 1 Panyabungan. The writer applying this research with Classroom Action Research (CAR) used e-class was using Whats App. The subject of&#x0D; research was the grade VIII-1 students of SMP Negeri 1 Panyabungan. They were 30 students. The resulted shown students’ reading comprehension improves significantly, it shown from the resulted students’ percentage of pretest was 13,33%, cycle I was 53,33 %, and in cycle II was 90%. Make a Match Strategy can help students to improve reading Comprehension.
Code Mixing Applied in Interaction of Students and Lecturers in WhatsApp Media

Code-mixing activity can occur in various spheres of life.One of them is the interaction between students and lecturers through the WhatsApp application during the Covid-19 pandemic.This qualitative research uses data in the form of unstructured dialogue through the WhatsApp application.Data collection techniques conducted are observation, listening, and recording.The analysis methods are by identifying and classifying data categories, choosing the type of code mixing, then describing the data to determine the choice of codemixing types in student interactions with lecturers through WhatsApp media used during the pandemic.The results of data analysis are described using informal presentation methods in the form of ordinary words.The result of the research is that students and lecturers are dominantly implementing external code mixing.This is because as a learner tries to apply the culture and vocabulary that is known in order to obtain fluency when communicating with lecturers using Japanese.The choice of words and phrases used refers to the vocabulary that is generally used when learning online and the absence of the same choice of words refers to the topic discussed.
Important of Competitiveness of Jordanian External Auditor and the Factors Affecting It Working in IT environment

The study aims to identify the factors that affect the competitiveness of Jordanian external auditors working in the information technology (IT) environment. In addition, it has identified to which extent the auditor is aware of the concept and the importance of competitiveness in the information technology environment. It has also touched upon the most important factors affecting the competitiveness of the audit process conducted in an information technology environment. To achieve the purposes of the study, the researcher has used a descriptive method in which literature of audit has been reviewed; furthermore, a questionnaire has been designed and distributed to a group of auditors in Jordan. The study has found that Jordanian auditors are highly aware of the concept and importance of competitiveness of audit offices working in an information technology environment. In addition, the study has indicated that there are a set of factors that affect the competitiveness of auditors; these factors are as follows: using information technology in audit services, audit fees, and professional performance quality as well as professional specialization of auditor in electronic systems plus internal control in IT environment and adherence to the regulations and instructions related to information technology governance in an information technology environment Keywords : Competitiveness of Auditor, Professional Performance quality, Audit Fees, Professional Specialization, Audit Offices in Jordan. DOI: 10.7176/RJFA/13-6-03 Publication date: March 31 st 2022
E-Complaint System for UiTM Perlis College Embedded with Gamification

Even though people can make complaints through a computerized system, some places still use the manual system. The manual system is inconvenient for the complainant because they must visit the respective counter to channel the complaints. In addition, the form provided usually consists of long instructions for the complainant to read before channelling the complaint. This paper discusses the development of an e-Complaint System for UiTM Perlis colleges embedded with gamification. In this system, there are three gamification elements included, which are the progress bar, leaderboard, and Avatar selection for personalization. Two tests were conducted, which are functionality and usability testing through various platforms such as YouTube, 000webhost, and Google Form. There were 33 respondents for the usability testing consisting of students and staff of UiTM Perlis. While the functionality testing was conducted with UiTM Perlis lecturers who have experienced teaching IT subjects. From the responses obtained from the respondents through PPSUQ Survey, most of the respondents agreed that the developed system helped them in channelling complaints and updating the status of their complaints compared to the existing system. The system developed does include some gamification elements which can ease the users to use the e-complaint system in the future. Via this system, users were guided on how to lodge complaints via step-by-step process instead of reading long instructions which could lead them to confusion.
Local Learning Joint with the Adaptive Graph for Subspace Representation

The technique of local learning that recognizes each sample by its predefined neighbors has been successfully applied in unsupervised learning fields. However, how to determine the proper neighbors of a sample is a challenging problem. Inappropriate selection of neighbors will drastically degrade the performance of local learning methods. In this study, a novel subspace representation method based on local learning joint with the adaptive graph (LLAG) is presented. On the one hand, by exploiting the notion of the adaptive graph and the technique of low-rank constraint, the affinity graph can be constructed iteratively, which prompts the produced subspace to well preserve the local and global structures of the data. On the other hand, the neighbors of samples involved in the local learning are produced adaptively during the optimization process. In this way, more accurate local information that is used to guide the generation of the optimal subspace can be revealed. Extensive experimental results on some benchmark data sets demonstrate the superiority of the proposed method LLAG in comparison with some existing unsupervised learning methods.
Did the Covid-19 Crisis Prepare us for Digital Learning?

The Covid-19 pandemic divides our lives on life before Covid-19 and life with Covid 19. That enforced significant changes in global education. The sudden shift to remote education fosters the broader deployment of digital learning. In the field of engineering education, this transition becomes an incredibly ambitious challenge. For engineering education, it is necessary to acquire practical skills in experimental laboratories to understand complex processes and coherences. Even though various approaches exist, the author proposes a hybrid education model that optimizes skills and safety requirements. The author's implementation of the hybrid education achieved positive feedback from students. On the other hand, in contradiction to different scholars, the author, based on feedback from students and teachers, rejects the conclusion that the Covid19 pandemic prepared us for digital learning. The knowledge of digital learning options has increased, but the lasting absence of face-to-face education has increased the negative sentiment towards digital education among both teachers and students. The preference for personal contact, social relations, the need for practical skills, and collaboration has risen significantly, according to the author's interpretation of qualitative surveys.
CURRENT TRENDS IN CAREER PLANNING: HOW TO FOLLOW TRENDS AND FIND A NEW CAREER PATH

Within the framework of this article, the author turns to the most relevant career planning approaches. The purpose of this work is to reflect on the existing approaches to understanding career planning both in psychological science and within the framework of concepts in the field of personnel management. Referring to the existing concepts of personnel management, the author of the work notes that when planning a career, individual and organizational planning.
Multi Images Steganography using Neural Network

Abstract: Currently, the most successful approach to steganography in empirical objects, such as digital media, is to embed the payload while minimizing a suitably defined distortion function. The design of the distortion is essentially the only task left to the stegnographer since efficient practical codes exist that embed near the payload-distortion bound. The ractitioner goal is to design the distortion to obtain a scheme with a high empirical statistical detectability. In this paper, we propose a universal distortion design called universal wavelet relative distortion (UNIWARD) that can be applied for embedding in an arbitrary domain. The embedding distortion is computed as a sum of relative changes of coefficients in a directional filter bank decomposition of the cover image. The directionality forces the embedding changes to such parts of the cover object that are difficult to model in multiple directions, such as textures or noisy regions, while avoiding smooth regions or clean edges. We demonstrate experimentally using rich models as well as targeted attacks that steganographic methods built using UNIWARD match or outperform the current state of the art in the spatial domain, JPEG domain, and sideinformed JPEG domain.
Pokemon color adjustments for augmented reality contents

The methods for rendering content realistic in Augmented Reality (AR) have already been advanced, but the consideration from the context of actual users on image coloring adjustment remains to be investigated.Recent illuminant-aware content tuning algorithms focused on anticipate a more natural-looking AR contents, this paper accounts the contribution for effect of memorial color in anime character.In this circumstance, this study aims to investigate the image color adjustment on AR anime contents in living environment.In the experiment, seven designers: three were highly interested in Pokemon and the others were not were recruited to adjust the hue, saturation, and lightness of three pokemon characters in 40 different environments using Adobe Photoshop.As a result, saturation and lightness adjustments were found to be the most dominant.Also, designers with more interest in pokemon tended to make pokemon more saturated.Thus, this study demonstrated that illuminant-aware color tuning is anticipated to render AR anime contents.