Reviewerly/exHarmony huggingface dataset:
How do Generation Z and Generation X Evaluate the Communication Competence of the Other Generation?

이 연구는 ‘커뮤니케이션 능력(communication competence)"을 중심으로 신세대인 Z세대와 기성세대인 X세대가 스스로의 커뮤니케이션 능력과 상대 세대의 커뮤니케이션 능력을 어떻게 인식하고 있는지 살펴보았다. 구체적으로, 커뮤니케이션 능력을 구성하는 다양한 하위 요인을 중심으로, 자신의 커뮤니케이션 능력에 대한 인식과 상대 세대 집단의 커뮤니케이션 능력에 대한 인식을 상호평가하고, 통계적으로 유의미한 평균차이를 보이는 요인을 검증하였다. 분석결과 Z세대의 응답자들은 지지력(supportiveness), 집중력(concentration), 역지사지(empathy) 요인에서 가장 큰 평균차이를 보였고, X세대 응답자들의 경우 역지사지(empathy), 집중력(concentration), 상호관리(interaction management)에서 가장 큰 평균차이를 보였다. 또한 X세대의 응답결과에서 유의미한 평균차이를 보이지 않았던 즉시성(immediacy)에 대해 Z세대 응답자들은 유의미한 평균차이를 보였고, Z세대의 응답결과에서 유의미한 평균차이를 보이지 않았던 표현력(expressiveness)에 대해 X세대 응답자들은 유의미한 평균차이를 보였다. 이 연구는 신세대와 기성세대가 세대 간 커뮤니케이션 상황에서 어려움을 느끼는 구체적인 요인을 실증적으로 검증함으로서 세대 간 커뮤니케이션을 진작할 수 있는 실용적 함의를 도출하고자 하였다. The study tested the perception gap of communication competence of Generation Z and Generation X, by evaluating the perception of one"s own communication competence factors and the perception of the communication competence factors of the other generation group. Results found that Generation Z respondents showed the largest mean difference in the factors of supportiveness, concentration, and empathy, while Generation X showed the largest mean difference in the factors of empathy, concentration and interaction management. In addition, immediacy was found to be a significant factor only for Generation Z while expressiveness was found to be a significant factor only for Generation X. The practical implication of the study was discussed by empirically verifying specific factors that cause difficulties in the intergenerational communication context.
E-Learning and Remote Education Technologies: Lessons from The Pandemic

ABSTRACT:&#x0D; This study explores the profound impact of e-learning and remote education technologies in the context of the COVID-19 pandemic. Through a comprehensive analysis of existing research, the article examines the advantages, challenges, and lessons learned from the sudden transition to online education. It delves into the role of digital tools, innovative strategies, and equitable access considerations in facilitating effective remote learning experiences. By discussing the implications for students, educators, and institutions, the article provides insights into the future of e-learning beyond the pandemic, emphasizing the importance of informed evolution in education.
Digital Resonance: Enhancing Pronunciation through Tech-Infused Teaching Strategy

The intention of this research is to discover the implementation of Cake in teaching of pronunciation and to uncover the students’ perception toward the use of Cake in teaching of pronunciation. This research applied qualitative descriptive method. The study was conducted at a private vocational school in Cianjur West Java Indonesia in the academic year 2021. The participants consisted of second grade of banking major at the ages between 15-17. Two of them were male and ten were female. This research collected the data through observation and a forced-choice questionnaire format where the participants were asked to choose one of the available selections (Yes or No). As the data were collected, the writer analyzed them. There were six steps in analyzing the observation as well as the questionnaire: (1) preparing the data to be analyzed, (2) reading or viewing all data, (3) coding the data, (4) generalizing the code, (5) creating tables based on the data code, and (6) interpret the data code. Over the observation the writers found a new formula on implementing Cake in helping students’ pronunciation accuracy. This formula then is called MRCP with drilling as the teaching strategy. The results of questionnaire show that Cake was new for the student. It has many features that support students in learning pronunciation. The students were also happy learning using Cake and they felt more confident to speak English after learning using Cake.
The Influence of Perceived Ease, Perceived Risk, System Security, and Service Quality on Trust in Transactions Using Shopee E-commerce

The rapid development of information technology has an impact on the transaction style of Indonesian society. This has led to the emergence of online transaction activities. This research has the purpose to prove whether there is an influence of perceived ease, perceived risk, system security, and service quality on trust in transacting using Shopee e-commerce. The research sample consists of students at Muhammadiyah University of Purwokerto, with the condition that these students are users of Shopee e-commerce and have transacted at least once. The purpose is to assess the factors of using Shopee e-commerce from the perspective of students. The analysis results indicate that perceived ease, system security, and service quality have a significant positive influence on trust in transacting using Shopee e-commerce. Meanwhile, perceived risk has a significant negative impact on trust in transacting using Shopee e-commerce.
Investigating scientific collaboration networks in Iraq using cloud computing and data mining

The academic performance of Iraqi authors and institutions is an important aspect that needs to be investigated in the field of research. Special scientific criteria establish a researcher's level. These include citations, published articles, and others. In this study, the aim is to analyze the academic performance patterns of Iraqi authors and institutions in Google Scholar. Collaboration patterns between Iraqi scientists and universities were explored using sophisticated data collection and analysis techniques. A crawler that worked in parallel with Google Scholar was created with SerpApi, thus collecting amounts of scientist profile data stored in MongoDB Atlas. The data were processed using Spark within the Amazon Web Services (AWS) Cloud. Complex network analysis and Cytoscape software were used to comprehensively investigate the co-authorship networks of Iraqi scientists. In addition, a set of complex network criteria was applied to reveal patterns of cooperation. After visualizing the network diagram and analyzing the relationships between the nodes, the virtual nodes and communities in the network were identified, revealing critical insights into the cooperation patterns of Iraqi scientists and universities. The results have important implications for research and development policies in Iraq and demonstrate the power of complex network analysis to reveal valuable insights into academic research collaboration.
Spam classification problems using support vector machine and grid search

Spam classification is an important task in identifying unwanted and potentially harmful emails for internet users. The increasing number of internet users highlights the growing importance of handling spam effectively. In this paper, we propose an approach for spam classification using Support Vector Machines (SVM) with grid search hyperparameter optimization. Our research differs from existing studies by specifically focusing on the integration of SVM with grid search to achieve optimal hyperparameter tuning. Additionally, we provide a unique dataset comprising diverse samples of spam emails for evaluation purposes. We also employ pre-processing techniques, including the removal of unnecessary words such as stop words and punctuation marks, as well as word stemming to convert words into their base forms. To optimize the performance of the SVM model, we use Grid Search to determine the optimal values for hyperparameters, including C, gamma, and the kernel. The results of the first experiment using SVM with the first dataset show that grid search yields the optimal parameters {'C': 100, 'gamma': 0.01, 'kernel': 'rbf'}, resulting in an accuracy improvement from 98.02% to 98.47%. In the second experiment using the second dataset, the accuracy obtained is 99.1%, compared to the previous non-optimized parameters which achieved 98.8%. These results indicate a significant improvement in spam classification accuracy. The experimental results demonstrate that our approach outperforms existing methods in terms of accuracy, precision, and recall. The findings of our research have significant implications for improving spam detection systems and enhancing the overall effectiveness of email communication.
Mixed Chaotic Keys to Protect Digital Color Image

A high speed and highly secure method of image cryptography will be introduced. The introduced method will decrease the encryption time and increase the throughput of image cryptography, and it will have a significant speed up comparing with other existing methods of data cryptography. The introduced method will use a complicated private key, which will provide a huge key space to resist hacking attacks, and the generated images will be very sensitive to the selected values of the private key. The private key will use two chaotic logistic map models and one chaotic tent map model to generate three 2D chaotic keys, these keys will be converted to integers and resized to match the size of the image. The quality of the proposed method will be tested to insure that the introduced method will always produce an encrypted image with low quality and a decrypted image with high quality, the quality parameters calculated between the source images and the encrypted and decrypted images will be calculated to prove that the method will satisfy the quality requirements of good cryptography.
Design of Boosted Cascade and RTLBP Features based Face Recognition Module Using ML in OpenCV

Over the past ten years, face recognition in images has become more and more important. Since facial recognition is a natural talent for humans, it could be challenging to train a computer to recognize faces. The detecting difficulty comprises three stages. Without the requirement for picture difference or skin color identification, the detector operates in real-time at fifteen frames per second. Proposed and developed is a face recognition system based on Real Time Local Binary Pattern (RTLBP) and Boosted Cascade of Simple Features (BCSF). Preprocessing, face identification and recognition, and annotation are the three stages of the system. Segmentation, filtering, thresholding, and improving image quality are all part of preprocessing. The face, which is crucial for identification, is identified using the BCSF approach. Every face in the database has a correlation and RTLBP calculation. Correlation and RTLBP analysis between the captured face and the database face is then used to conduct recognition. One statistical technique that falls within the large category of factor analysis is the Boosted Cascade of Simple Features. By reducing the massive quantity of data stored to the extent of the feature space needed to represent the data efficiently, the BCSF seeks to achieve this goal. The RTLBP is designed to recognize faces by using a wide 1-D pixel vector consisting of a 2-D face picture in compact main parts of the space function. This is referred to as self-space projection. The identity of the vectors in the covariance matrix, which is centred on a set of fingerprint images, helps determine the proper space. Using OpenCV, Open Computer Vision (OpenCV), Python, Eigen-face, Fisher Face, LBPH, and Haar Cascade programming, an algorithm for a camera-based, real-time face recognition system is developed in this project. The name of the detected individual appears in the top left corner of a highlighted rectangle that annotates the face. The process of recognition takes 10.18 seconds, with a 99.93% success rate.
Methodology lecturers’ pedagogical strategies used to prepare pre-service Intermediate Phase isiZulu teachers for teaching inclusive reading

There is overwhelming evidence in the South African education context regarding reading challenges in schools. While the majority of studies conducted in the last decade focus heavily on learners’ inadequate age-appropriate reading skills, very few studies focus on teachers’ or teacher educators’ facilitation of effective reading comprehension skills, particularly for at-risk readers. In this study, the term at-risk readers refers to learners with reading difficulties in mainstream schools. Since pre-service teacher preparation is a responsibility of university teacher education departments, at the university level, effective pedagogical strategies for teaching inclusive reading to at-risk readers should be taught by university lecturers. The current study aims to analyse the pedagogical strategies used to prepare pre-service Intermediate Phase (IP) isiZulu teachers to teach inclusive reading in mainstream schools. This qualitative study is guided by the simple view of reading, which integrates word reading, language skills and reading comprehension for holistic literacy development. Data were collected through semi-structured interviews with seven isiZulu methodology lecturers purposively selected from five South African universities. The researcher analysed the qualitative data through thematic analysis. The unit of analysis in this study was pre-service lecturers’ strategies used to prepare IP isiZulu teachers to teach inclusive reading. Findings reveal that university teacher education departments do not adequately equip pre-service IP teachers with the necessary pedagogical skills to teach inclusive reading to at-risk readers in mainstream schools. This study aims to extend the debate on teacher pedagogical content knowledge required for developing inclusive reading in mainstream schools.
Emojis as a novel way to communicate using WhatsApp

This study sought to discover the possible effects of emoji use on WhatsApp communication. Students make use of WhatsApp groups when studying and the correct use of emoji use is thus important in teaching and learning. The rise in emoji use is noticeable in online conversations; emojis are often used in combination with text to communicate emotions and context and has become a universal language in South African informal conversations, especially on social media. Messages are characterised using emojis for that extra impetus or effect, yet they can lead to confusion between the sender and the recipient of the text message. In this mixed-methods study a questionnaire was used to test responses (n = 50) to a selection of emojis and twelve (12) participants participated in semi-structured interviews on their perceptions of emoji use. It was found that most of emoji users understood the true meaning of these pictures and agreed with the denotative meaning. However, certain emojis were misinterpreted and emoji education seems necessary to inform Internet users of the emojipedia meanings.
World Bank: Women's Education Boost

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 60, Issue 10 p. 24485C-24485C Policy and Practice World Bank: Women's Education Boost First published: 10 December 2023 https://doi.org/10.1111/j.1467-6346.2023.11359.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume60, Issue10December 2023Pages 24485C-24485C RelatedInformation
Benin

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 60, Issue 10 p. 24477B-24477B Policy and Practice Benin First published: 10 December 2023 https://doi.org/10.1111/j.1467-6346.2023.11344.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume60, Issue10December 2023Pages 24477B-24477B RelatedInformation
LIBYA: Reconstruction Conference

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 60, Issue 10 p. 24480B-24481B Policy and Practice LIBYA: Reconstruction Conference First published: 10 December 2023 https://doi.org/10.1111/j.1467-6346.2023.11350.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume60, Issue10December 2023Pages 24480B-24481B RelatedInformation
Full Issue

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 60, Issue 10 p. I-I Full Issue Full Issue First published: 10 December 2023 https://doi.org/10.1111/j.1467-6346.2023.11336.xAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Volume60, Issue10December 2023Pages I-I RelatedInformation
The Impact of Self Directed Learning and Digital Literacy for Study Result Pengelolaan Bisnis Ritel Subject Grade XI BDP SMK Negeri 1 Medan 2022/2023

This research aims to find out the influence of Self Directed Learning and Digital Literacy on the Learning Results of Class XI BDP SMK Negeri 1 Medan. The population in this study is the entire student class XI BDP SMK State 1 Medan T.A 2022/2023 which totaled 66 students. The sampling technique was carried out using total samplings to obtain a sample of 66 students. In the meantime, for the collection of research data obtained from elevators and lists of student values. The result of the double linear regression test showed the constant value (a) of 4.019, the self-directed learning variable regression coefficient value of 0.623, then the Digital Literation variabel regression factor of 0.362. It was concluded that Self Directed Learning and Digital Literacy had a significant impact on Retail Business Management Lesson Results in Class XI BDP SMK State 1 Medan T.A 2022/2023.
The Impact of Discoverys Learning Model for the Result of Social Subject Grade VIII SMP Swasta Bina Guna Tanah Jawa

​The problem in this research is Learning outcomes on interaction material between ASEAN countries using the discovery learning model and the conventional model for class VIII at Bina Guna Tanah Java Private Middle School.&#x0D; ​This type of research is quantitative research . The population in this study were all students in class VIII of Bina Guna Tanah Java Private Middle School with a total of 66 students. The sample in this study consisted of 2 classes, namely class VIII-1 and class VIII-2 with a total of 66 students.&#x0D; ​Based on the results of descriptive analysis, it shows that the average social studies learning outcomes for students in classes that do not use the discovery learning model is 71.76. Meanwhile, the average student learning outcomes in classes that use the discovery learning model is 73.91. The results of inferential statistics using SPSS version 21 obtained Sig(2 Tailed)&lt;α or (0.000&lt;0.05) and the calculated t value &gt; t table (3.818&gt;1.294). So, based on the testing criteria, it can be said that there is a significant difference in learning outcomes between classes that use the discovery learning model and classes that use the conversion learning model in class VIII Anatar Nagara-ASEAN Countries Interaction material in social studies subjects at Bina Guna Tanah Java Private Middle School.&#x0D;
The Influence of Quantum Teaching Learning Model on Students Learning Outcomes in Grade VI with Subtheme 2 Discovery and Benefits in SDN 097805 Rambung Merah

This research aims to determine the influence of the modelQUANTUM TEACHING on the learning outcomes of Class VI elementary school students, Subtheme 2 Discovery and its benefits. At SD Negeri 097805 Rambung Merah , the method in this research is a quantitative experimental type method whose research design is pre-experimental, one group pretest-posttest type. This was carried out on October 30 to October 31 2023. The population in this study were all class VI students at SD Negeri 097805 Rambung Merah. The sample used was purposing sampling with two research variables: the dependent variable (x) in the form of learning outcomes, and the independent variable ( y) in the form of a model Quantum Teaching. Data collection techniques are test techniques with validity tests, reliability tests, difficulty level tests, and differentiating power tests. The results of hypothesis testing using the normality test, homogeneity test, and T-test with the help of the SPSS version 2 6 program, with the result t = 15.711 with a significance level (2-tailed) 0.000, significant probability &lt;0.05, t count &gt;t table = 15.711&gt;2.064 then HO is rejected and Ha is accepted. This explanation shows that there is an influence of the Quantum Teaching Learning Model on the learning outcomes of class students in theme 3 class VI of SD Negeri 097805 Rambung Merah.&#x0D;
Practical Analysis of Multimodality Based Student Book Development to Improve English Skill of Entrepreneurship Study Program Students at Universitas Negeri Medan

This study aims to produce teaching materials in the form of handbooks to improve the quality of learning in the Entrepreneurship Study Program, Universitas Negeri Medan. This study uses a 4D Model that is defined, designed, developed and disseminated. The data analysis techniques used is practicality. Practical tests were carried out on research samples, consist by 60 students of the 2nd semester entrepreneurship study program. The practicality test measured from student questionnaire obtained 90,5%, which means it is very practical.