Reviewerly/exHarmony huggingface dataset:
Improving Students’ Motivation and Psychology in Speaking Arabic through Dubbing Japanese Anime to Arabic

This article aims to determine the level of motivation and to build students' interest in speaking Arabic with Japanese to Arabic anime voiceover media, as well as to overcome students' psychological problems. A total of 90 students aged 15-18 years in three educational institutions in Java Island participated in the study. The data were calculated quantitatively descriptively, processed by the Kolmogorov normality test using SPSS 26 and made and analyzed a comparison table of pretest and posttest scores from the HARS (Hamilton Anxiety Rating Scale) questionnaire. The results confirmed that there was a significant change in the results of the HARS questionnaire table and the Kolmogorov value with a mean value of 44.04 which was greater than the hypothesis, which was 30.00. The implications of this research can be used as an alternative learning media in increasing motivation and overcoming students' negative psychology in learning Arabic in Indonesia.
Hybrid Modified Sparrow Search Algorithm and Sequential Quadratic Programming for Solving the Cost Minimization of a Hybrid PV/DG/BESS

A hybrid PV/battery/DG energy production system is configured and optimized in this study for powering a network of a remote rural of china.The target of system design is to minimize the system's fuel costs subject to the load demanded (LD) and several limitations.Thus, the concept comprises a problem of optimization which has been solved by a new optimization method using the Sequential Quadratic Programming (SQP) and a modified version of Sparrow Search Optimizer (MSSO).The achievements of the suggested technique are evaluated in various seasons and also in weekends and weekdays to indicate their impact on the operating cost of the PV/Diesel BESS system.The achievements show that in summer and winter, the costs of weekday are lower toward costs of weekend fuel.Moreover, the fuel cost of summer is lower than the fuel costs of winter that is due to lower demand in summer and also the more summer radiation levels mean less usage of auxiliary sources.
Exploring Prosodic Features Modelling for Secondary Emotions Needed for Empathetic Speech Synthesis

A low-resource emotional speech synthesis system for empathetic speech synthesis based on modelling prosody features is presented here. Secondary emotions, identified to be needed for empathetic speech, are modelled and synthesised in this paper. As secondary emotions are subtle in nature, they are difficult to model compared to primary emotions. They are also less explored, and this is one of the few studies that model secondary emotions in speech. Current speech synthesis research uses large databases and deep learning techniques to develop emotion models. There are many secondary emotions, and hence, developing large databases for each of the secondary emotions is expensive. This research presents a proof-of-concept using hand-crafted feature extraction and modelling of these features using a low resource-intensive machine learning approach, thus creating synthetic speech with secondary emotions. Here, a quantitative model-based transformation is used to shape the emotional speech fundamental frequency contour. Speech rate and mean intensity are modelled via rule-based approaches. Using these models, an emotional text-to-speech synthesis system to synthesise five secondary emotions - anxious, apologetic, confident, enthusiastic and worried is developed. A perception test to evaluate the synthesised emotional speech is also conducted.
Hybrid DLDT algorithm based tumor classification of mammogram images

Despite the fact that current classical image classification techniques have been widely used to address real-world problems, these applications are frequently hampered by problems including disappointing results, poor classification accuracy, and constrained adaptability. This method separates the mammography image tumour feature extraction and classification processes. The effective way to improve the accuracy of mammography image tumour classification is to integrate the feature extraction and classification processes using the potent deep learning model. The deep structural advantages of multilayer nonlinear mapping and the tumour representation of well-multidimensional data linear decomposition, however, are fully utilised in this paper, which also introduces the idea of tumour representation based on shape-based feature extraction into the architecture of the deep learning network.
A Novel Approach for Polyphase Filter Bank Design Using ABC Algorithm

Polyphase filter banks (PFBs) are the most preferred multirate structures for subband coding in Digital Signal Processing (DSP) and communication. For PFB design, there are many important design parameters such as filter length and frequency selectivity. Also, to realize the desired frequency response in designs, stopband and passband attenuation are of considerable importance. In PFB design, researchers and practitioners frequently use iterative and meta-heuristic optimization methods. Heuristic techniques have a significant problem-solving ability in continuous and discrete solution space. Therefore, they give better results than other suggested methods, and their performance depends on the control parameters. In this study, Artificial Bee Colony (ABC) algorithm was employed for suggested design problem of PFB. In the first stage, the control parameters of the ABC algorithm were examined to improve the performance of the proposed PFB problem. In the second stage, the analysis was carried out by changing filter lengths (8-256) and filter band frequencies (0.3-0.7/0.4-0.6). All results obtained were also compared with the Particle Swarm Optimization algorithm (PSO) and the Genetic algorithm (GA). Finally, a DSP application of PFB was carried out according to best results achieved by the ABC algorithm for filter lengths and frequencies.
Peningkatatan Bahasa Inggris Menggunakan Digital Vocabularies Bagi Pemuda–Pemudi Desa Ancaran Kabupaten Kuningan

The development of science, the opening of unlimited access to information, the enactment of the free market have an impact on the need to prepare the young generation of this nation to be ready to face its era. So equipping the younger generation, especially for educators who will provide knowledge to their students with English language skills using Digital Vocabularies is something that must be done in the current era of the covid-19 pandemic. This service activity is carried out with the aim of fostering interest in learning English and improving the quality of English for young people in Ancaran Village, Kuningan Regency, besides helping lower economic communities gain access to learning English, especially young people so that it can be implemented in the learning process. they are at school. Socialization is carried out through discussions between the implementers of community service activities and young people. After that, the implementers of the community service program will be implemented the use of digital vocabularies into the English learning process&#x0D; Keyword: digital, vocabularies, language, English, learning
A sociolinguistic probe of language use on Facebook among Algerian Internet users

As Facebook has tremendously evolved into one of the best-liked ways of communication on the Internet, language has also been enticed in terms of its use and practices. This paper aims to raise its issue in the multilingual Arabic–French–English Facebook posts and comments from three purposely selected groups, comprising 40 participants each. The data were collected via an online questionnaire to explore the language(s) or language varieties used by the members in concordance with code-switching as a sociolinguistic phenomenon and the reasons behind such behaviour in online written discourse. The data were analysed through a mixed methods approach. The findings revealed that the participants of each selected group use a specific language or language that varies depending on the group membership, the language of the posts and the language they master best. Additionally, it was detected that most of the participants code-switch on Facebook either due to lack of fluency or to facilitate socialising.&#x0D; Keywords: Code-switching, comments, Facebook, Internet users, language, posts;
Review on Event Management System

Event management is the application of project management to the creation and development of large or small scale events such as festivals, conferences, ceremonies, formal parties, concerts, or conventions. The last few years have seen a rapid growth in the event management industry. Considering the existing system problems related to event management we are developing an SALESFORCE application for event management. Application will mainly focus on birthday party, fund raising, college festival, marriage functions and social events. The application will be developed using Sales force, UI using Lightning web component and backend using Apex Programming. Application will have easy and feasible GUI for all type of users. User needs to register at the initial phase, set his/her profile details including choices, email-id, etc. The core phase of the application will display list of events . This event will further contain description about event, date and time. These details will be firstly verified by the administrator to fulfil the security protocols. This application will assist him/her in planning a successful and fun event.
School Leaders Involvement in Students Behavioral Transformation

This study focuses on the School leaders’ involvement in student’s behavioral transformation, prospects administrator’s development of programs. The object is to provide the potential contribution and prevention from school leaders in leadership development school for students behavioral transformation in Senior High school of Canossa of Saint Magdalene of Canossa Ossu-Waida Timor-Leste. Methods using quantitative in nature and utilized descriptive- comparative, the aims to investigate and analyze the school leaders’ involvement in student’s behavioral problems in progress to the behavioral transformation. Then analysis was done by using the statistics SPSS. And also, to determine the significant difference between the responses of student and teacher’s respondent on the involvement of school leaders in addressing the behavioral problems with independent of (T-Test). Results manifested that, perception of the students and teachers, with aspects of procedures and policies (&lt;0.05), support to staff, (&lt;0.05) Support to students, (&lt;0.05) awards and consequences (&gt; 0.05) and parental involvement, (&lt;0.05) all were agree/involved. And the result of significant differences, there was only one with aspect of awards and consequences was rejected (&gt;0.05) and accept the alternative hypothesis. The results underline the importance role of school leaders play in school effectiveness and offer valuable insight in how school leaders actually can make a difference. School leaders found to have strong influence on development orientation in schools. With shows similarities with the idea of the learning organization to the point transformational leadership.
The Ethics of the Virtual Educational Environment, New Meanings

Introduction. The purpose of this study is to analyze the ethical and linguo-didactic aspects of the virtual educational space of higher education. The COVID-19 pandemic has served as a catalyst for the transition of education to an online format. Of course, most educational institutions and teachers were forced to quickly adapt the methods and forms of online organization of the educational process. The issue of online education has long been considered from the scientific and practical sides, but such a quick and forced transition to online revealed a number of problems and features of online communication. One of the most significant is the problem of the ethics of online communication in education. Methodology and sources. The theoretical base of the study is represented by the works of Russian and foreign authors in the field of pedagogy of the Higher School (I.V. Robert, I.P. Kuzheleva-Sagan), the theory of generations (N. Howe and W. Strauss, D. and I. Stillman, Shamis) and intercultural communications (G. Hoftede). The empirical base of the study was data obtained during interviews with teachers (23) and students (27) of a higher school (semi-structured, random sample), analysis of the content of educational chats and visual analysis of student avatars (625) used in Zoom. Results and discussion. The article outlines the directions of research into the problems of ethics in the process of online education. On the basis of empirical data, the authors record the transfer of an informal style of communication into the format of educational communication with a teacher, which is spontaneously emotional in nature. The authors make the assumption that the regulation of communication processes had an optional and often non-mandatory format. Particular attention is paid to the understanding and perception of the ethical norms of communication by representatives of different generations. Conclusion. The synchronous format of educational communication in the online format has other syntactic, semantic and stylistic features that differ from the previously generally accepted academic language. In the future, this issue requires a comprehensive consideration not only from the communication and ethical side, but also from the point of view of legal and information security. It is necessary to form ethical standards for online teaching.
E-Learning Application Training for Junior High School and Madrasah Tsanawiyah Teachers in Manado City

E-learning has always been a need for everyone. It develops to be utilized since Covid-19 attack. For this reason, many parties including Education attempts to involve applications in E-learning materials. Teachers, in particular required a lot of methods to apply teaching and learning materials through online materials. Within this case, this community service aims to train teachers in using and applying E-learning applications into the classroom. The following community service was accomplished in several schools located in Manado city, such as SMP Yapim, MTs Assalaam, Mts Al Muhajirin. The subjects were teachers from the following schools who have been teaching during covid-pandemic. This activity was held during one month. The results say that the teachers feel motivated, improved and getting understood to have an easier method to use E-learning application such as Edmodo and Google Classroom for their Classroom. The tools in those applications are useful, for instance, to perform an understanding about how to use formula in Math, how to express ideas in English, how to write an assignment in History, and how to learn sufficiently and properly. In the meantime, students are also conveyed grateful and enjoyable to use google classroom and Edmodo application. However, factors such as do not have and have limited smartphone, internet network, and the late to access the apps can be said as the problems found during the service by the team. &#x0D; &#x0D; Keywords: E-learning; Learning Applications, Junior High Schoool Teachers.
PENGARUH GAME KAHOOT TERHADAP MINAT BELAJAR SISWA PADA PEMBELAJARAN IPAS KELAS IV DI SEKOLAH DASAR

Students' interest in learning science is still relatively low, because not a few students consider science as a relatively difficult subject. Interest in learning is very important for a student's learning. The use of interesting and interactive learning media increases students' interest in learning science. The interactive media used in this study uses the kahoot game in learning. This study aims to determine the effect of kahoot games on students' learning interest in grade IV science learning in elementary schools. This research uses quantitative research methods with Quasi Experimental Design with Posttest Only Control Design. Sampling technique with non-probability sampling. This type of research tool uses a questionnaire containing 20 positive statements. In calculating the data analysis, this study used SPSS Statistics 26.0 to calculate the normality test, then the hypothesis was tested using the t-test at a significant level of 0.05. The results of the calculation of the t-test hypothesis test in both classes show ????ℎ???????????????????? &gt; ???????????????????????? namely 2,462 &gt; 2.011 which indicates that there is an influence of kahoot games on students' interest in learning science in class IV SD Negeri 20 Pahambatan Balingka.
PENGARUH MEDIA PEMBELAJARAN WORDWALL TERHADAP HASIL BELAJAR SISWA SEKOLAH DASAR

In order to create a conducive learning environment and achieve maximum results, as educators, they must be aware and able to make updates in education. Using learning media that is effective, interesting, fun, and meaningful for students is one of the methods of learning renewal. In this case, wordwall learning media is used. This study aims to determine the influence of Wordwall learning media on the learning outcomes of elementary school students. This research method uses quasi-experimental design type Post-test only control group design. The subjects of this study were all grade V students of SDN 14 Simpangampek with a total of 40 people. The sampling technique in this study was saturated sampling with a total sample of 20 students as an experimental class and 20 students as a control class. The data collection technique in the form of a Post-test uses test questions in the form of multiple choices. The results showed that the use of wordwall learning media is superior to conventional learning or without involving learning media. Thus, it can be concluded that the use of wordwall learning media affects the learning outcomes of grade V students of SDN 14 Simpangampek.&#x0D; Keywords: Wordwall, Learning Outcomes, Elementary School
Writing skills applying the spiral curriculum method for high school students

Given the deficient levels of argumentative writing identified in the students, the research carried out aimed to determine the impact of the spiral curriculum methodology on the writing skills of high school students, working as an experimental study, quasi-experimental design. with a non-probabilistic sample, with two independent groups, made up of twenty-one students for the experimental and control groups, to whom a pretest and posttest in academic writing was applied, to measure the initial and post-experience level, in the students of the study groups; The collected data were processed with the use of descriptive and inferential statistics, where when having non-normal data, according to the Shapiro-Wilk normality test, the Mann Whitney U was used through the SPSS program, where a value was obtained as a result. p_&lt;0.01 with significant differences between the pre and post-test, in favor of the latter, reaching the conclusion that the methodology of the in-spiral curriculum has a positive and significant impact on strengthening students' writing skills, validating the research hypothesis.
Digital Forensics Analysis of IoT Nodes using Machine Learning

With the versatility and exponential growth of IoT solutions, the probability of being attacked has increased. Resource constraint IoT devices raised a challenge for the security handler to track logs of different variety of attacks generated on them while performing the forensic analysis. Commonly forensic analysis is performed on the devices that calculate how much loss has occurred to the device due to the diversity of attacks. The main objective of this paper to develop a framework through which secueity can perfrom the forensic analysis on resource contraint IoT devices. In this paper, we have proposed a framework that intelligently performs forensic analysis and detects the different types of attacks performed on the endpoint (IoT device) using a node to node (N2N) framework. Furthermore, this proposed solution is a blend of different forensic tools and Machine learning techniques to identify different types of attacks. Using a third-party log server, the problem of evidence recovery from the endpoint under attack is addressed. To determine the nature and effect of the attack we have used the logs by using the security onion (forensic server). Additionally, this framework is equipped to automatically detect attacks by using the different machine learning algorithms. The efficiency of machine learning models is measured upon the values of (1) Accuracy, (2) Precision, (3) Recall, and (4) F-Measure. The results show that the decision tree algorithm stands out with the optimum performance compared to other ML models. Overall this framework can be used for the secuirty of IoT devices as well as the evidence collection from the IoT endpoint. For the validation of the proposed framework more detailed results and performance, analysis is presented in this paper.
Major Constraints Faced by KVK Scientists During Use of ICT Tools in Rajasthan

ICT’s are emerging as an important tool for the progress of society. The new technology has signifi cantly improved lifestyle and effi ciency levels in all sectors of the economy. This enables the utility of ICT to overcome physical distances and time gaps in communication. Rapid improvements in IT have increased their cost and space requirements, speed and storage capacity in a short span of time with traditional communication materials. A study was undertaken on 210 Krishi Vigyan Kendra Scientists of Rajasthan. The result of the study depict that the general constraints faced by KVK scientists during use of ICT tools, the statement ‘High cost of repairing ICT tools’ is Ranked – I with (mean score =2.80) and lowest constraints goes to the statements ‘Lack of skills to access the website’ Ranked –X with (mean score =1.16) followed by the personal constraints faced by KVK scientists is ‘Lack of ICT oriented training’ Ranked-I with (mean score =1.86) and lowest constraints goes to the statements ‘Lack of knowledge about ICT tools’ Ranked –VII with (mean score =1.10) followed by the technical constraints faced by KVK scientists is “Internet connection is poor/slow” is Ranked –I with (mean score =2.38) and lowest constraints goes to the statement “Lack of competence in handling ICT tools” with (mean score=1.44) Ranked-XI among the overall statements.
Analysis of Competency Research Trends in the History of Lifelong Education: Focus on Domestic Papers for 20 Years from 2002 to 2021

Competencies acquired through educational activities also require coping with uncertain situations in the future and cultivating new and diverse knowledge, values and attitudes. This study analyzes research trends on the competency of the history of lifelong education with 90 papers retrieved from DBpia and the domestic academic research information service for 20 years. Research trends of 90 research papers (54 theses and 36 academic journals) related to the history of lifelong education published in domestic papers were analyzed by research year, research publication, and research method by characteristics. The results of the study are: first, 20 years were classified as the 4th period by research year, and out of a total of 90 papers, five papers (5.56%) in the 1st period from 2002 to 2007 and 24 papers from 2008 to 2012 in the 2nd period (26.67%), 36(40%) in the 3rd period from 2013 to 2017, 25 (27.77%) in the 4th period from 2018 to 2021, and 10 (11.11%) in 2016. Second, there were a total of 56 dissertations and 45 master's thesis (80.36%), and lifelong education major thesis was 35 (62.5%). A total of 34 articles were published in academic journals, and by journal, 13 articles (38.24%) were published in mainstream lifelong education and 21 articles (61.76%) were published in non-mainstream journals. Third, as for the analysis results by research method, quantitative research was the most prevalent. Based on the above analysis results, theoretical implications and future research directions are presented to find new solutions for the competency of lifelong education in a rapidly changing world.