Reviewerly/exHarmony huggingface dataset:
Re-Expressing Variables

Statistics Using R introduces the most up-to-date approaches to R programming alongside an introduction to applied statistics using real data in the behavioral, social, and health sciences. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes an online R tutorial for learning the basics of R, as well as two R files for each chapter, one in Base R code and the other in tidyverse R code, that were used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter. This textbook is appropriate for both undergraduate and graduate students in social sciences, applied statistics, and research methods.
Examining Univariate Distributions

Statistics Using R introduces the most up-to-date approaches to R programming alongside an introduction to applied statistics using real data in the behavioral, social, and health sciences. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes an online R tutorial for learning the basics of R, as well as two R files for each chapter, one in Base R code and the other in tidyverse R code, that were used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter. This textbook is appropriate for both undergraduate and graduate students in social sciences, applied statistics, and research methods.
Probability Fundamentals

Statistics Using R introduces the most up-to-date approaches to R programming alongside an introduction to applied statistics using real data in the behavioral, social, and health sciences. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes an online R tutorial for learning the basics of R, as well as two R files for each chapter, one in Base R code and the other in tidyverse R code, that were used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter. This textbook is appropriate for both undergraduate and graduate students in social sciences, applied statistics, and research methods.
Two-Way Analysis of Variance

Statistics Using R introduces the most up-to-date approaches to R programming alongside an introduction to applied statistics using real data in the behavioral, social, and health sciences. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes an online R tutorial for learning the basics of R, as well as two R files for each chapter, one in Base R code and the other in tidyverse R code, that were used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter. This textbook is appropriate for both undergraduate and graduate students in social sciences, applied statistics, and research methods.
References

Statistics Using R introduces the most up-to-date approaches to R programming alongside an introduction to applied statistics using real data in the behavioral, social, and health sciences. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes an online R tutorial for learning the basics of R, as well as two R files for each chapter, one in Base R code and the other in tidyverse R code, that were used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter. This textbook is appropriate for both undergraduate and graduate students in social sciences, applied statistics, and research methods.
Accessing Data from Public-Use Sources

Statistics Using R introduces the most up-to-date approaches to R programming alongside an introduction to applied statistics using real data in the behavioral, social, and health sciences. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes an online R tutorial for learning the basics of R, as well as two R files for each chapter, one in Base R code and the other in tidyverse R code, that were used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter. This textbook is appropriate for both undergraduate and graduate students in social sciences, applied statistics, and research methods.
Employment Status, Strategies, and Analysis of Prospective Graduates from 3-Year Dance Departments at Chinese Junior Colleges: A Case Study of Guilin Normal College

Using various scientific research methods such as data analysis and interviews, this research takes the dance department of Guilin Normal College as an example to investigate the employment status of its dance graduates.It analyzes the difficulties and problems faced by dance graduates in their employment and further explores the underlying reasons. Finally, targeted solutions and recommendations are proposed. Graduates should further enhance their comprehensive qualities, broaden their employment perspectives, adopt a scientific approach to career selection, and engage in effective career planning. In terms of family support, there should be a shift in traditional educational ideologies to create a conducive environment for employment decision- making, while also establishing a beneficial social network for graduates. Schools should establish an employment guidance service system and provide targeted employment skills training for dance majors. On a societal level, efforts should be made to expand employment opportunities for dance graduates. Through these methods, the employment challenges and issues faced by graduates of Guilin Normal College can be addressed, providing valuable references and insights for improving the employment capabilities of dance graduates from other junior colleges.
CORRECTION TO LEADERSHIP ADVENTURES WITH FRANCES HESSELBEIN

Leader to LeaderEarly View FROM THE EDITORS CORRECTION TO LEADERSHIP ADVENTURES WITH FRANCES HESSELBEIN First published: 06 December 2023 https://doi.org/10.1002/ltl.20793Read 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. Early ViewOnline Version of Record before inclusion in an issue RelatedInformation
THE EFFECTS OF STORYTELLING TEACHING STYLE ON ELEMENTARY STUDENTS’ READING COMPREHENSION

This study explores the impact of the storytelling teaching style on the reading comprehension of elementary school students at the School of Life, GSJA El-Roy, Semarang. It was discovered that reading comprehension in English for elementary students in 5th and 6th grades was still too low, and students' reading skills still needed to be improved. In addition to improving reading skills, storytelling fosters critical thinking and helps children understand the order and structure of stories. To assess the effectiveness of the storytelling method in enhancing students' reading skills, the writer used Classroom Action Research (CAR) and set a success scale above 8.5, measuring students' reading comprehension using various English vocabulary. A test was administered to 10 students, and the results revealed an average success scale of 9.3, indicating a significant improvement in students' reading comprehension skills. The writer suggest that future research need to conduct a follow-up assessment after an extended period would allow researchers to determine the long-term effects of the storytelling-based teaching strategy on students' reading comprehension skills.Keywords: Storytelling teaching style, reading comprehension skills, classroom action research
TRANSLATOR TOOLS IN SECOND LANGUAGE WRITING: THEIR IMPACT ON STUDENTS’ WRITING PERFORMANCE AND PROCESS

In recent years, advancements in technology have significantly influenced various aspects of education, including language learning and writing skills. One notable technological tool that has gained prominence is the translator tool, which offers the potential to bridge language barriers and enhance writing processes for students. This background section delves into the growing significance of translator tools in the context of writing skills development, discussing their features, benefits, and potential impact on students' writing performance and processes. Writing skills have long been recognized as a fundamental component of education, enabling individuals to effectively communicate ideas, opinions, and information. Traditionally, writing instruction has encompassed grammar, syntax, vocabulary, and organization. However, with the advent of digital tools and platforms, the landscape of writing instruction has transformed. Technology has introduced innovative ways to engage learners and support their language learning journey. Translator tools, often powered by artificial intelligence and machine learning algorithms, offer the ability to translate text from one language to another with varying degrees of accuracy. These tools have evolved from basic word-for-word translations to more sophisticated models capable of understanding context and producing coherent translations. Some of the prominent translator tools include Google Translate, DeepL, and Microsoft Translator. The integration of translator tools into writing instruction has shown potential benefits for students, particularly those learning a second language or aiming to communicate across linguistic boundaries
STUDENTS’ IMPRESSION OF MIND MAPPING TECHNIQUE MIXED WITH FREEWRITING INFLUENCE THEIR WRITING ABILITY

The aim of this research is to find out how students' impressions of the mind mapping technique mixed with freewriting influence their writing ability from Islamic Science University of Malaysia. One communication class was involved in this research with 15 students who take English for Communication subject. The survey research method was used in this research. Technique of collecting the data, the researcher used questionnaire. The results of this research revealed that students’ impressions of the mind mapping technique mixed with freewriting influence their writing ability is excellent. They can improve the writing ability using mind mapping technique mixed with freewriting. The validity and reliability used to test every statement in questionnaire with a significance level of 0.05 and the rtable is 0.514 from Pearson’s correlation coefficient. Most of respondents agreed with percentage 80% that their impressions as a student about mind mapping technique mixed with freewriting influence their writing ability is positive.
Self Regulated Learning Mahasiswa pada Mata Kuliah Akuntansi Manajemen dan Biaya

This research is to see the description of Self regulated learning Students of the Faculty of Islamic Economics and Business UIN Sunan Gunung Djati Bandung in the Management and Cost Accounting courses. The research method used is descriptive qualitative. This study shows that self-regulated learning if it is divided into 3 indicators, namely planning, implementation, and evaluation is good. As many as 61.35% of students have Self regulated learning seen in the questionnaire responses to the choices strongly agree and agree. Meanwhile 38.65% of students have not implemented Self regulated learning in Management and Cost Accounting courses. A total of 67.45% of students do planning (forethought), 62.20% carry out implementation (performance/valitional control), and 48.77% of students evaluate learning in Management and Cost Accounting courses.
جماليات التكوينات الخطية والعناصر التشكيلية في التصميم الفني في كسوة الكعبة المشرفة

The art of Arabic calligraphy with its artistic and plastic elements and vocabulary has a key role in highlighting the aesthetics of the covering of the Kaaba, in addition to the fact that all the plastic elements in the design of the structure of the linear formations result from the organization of linear relationships on the surface of the covering fabric, which are intertwined and intertwined in all formations and linear structures in the dress of the Kaaba. Therefore, this study aims to analyze the aesthetic relationships between the linear structural elements and the plastic artistic elements present in the design of the covering of the Kaaba according to an analytical artistic vision. The method used in this study is the content analysis method, which is an applied field study based on a careful and detailed analysis of the compositional, plastic and design elements within the dress of the Kaaba. The study concluded that the linear and artistic plastic elements had a prominent role in enhancing the aesthetics of the covering of
Analysis of cyberfraud in the South African banking industry: a multiple regression approach

Purpose The purpose of this study is to analyse cyberfraud in the South African banking industry using a multiple regression approach and develop a predictive model for the estimation and prediction of financial losses due to cyberfraud. Design/methodology/approach To mitigate the occurrence of cyberfraud, this study uses the multiple regression approach to correlate the relationship between financial loss and cyberfraud activities. The cyberfraud activities in South Africa are classified into three, namely, digital banking application, online and mobile banking fraud. Secondary data that captures the rate of cyberfraud occurrences within these three major categories with their resulting financial losses were used for the multiple regression analysis that was carried out in the Statistical Package for Social Science (SPSS, 2022 environment). Findings The results obtained indicate that the South African financial institutions still incur significant financial losses due to cyberfraud perpetration. The two main independent variables used to estimate the magnitude of financial loss in the South Africa’s banking industry are online (internet) banking fraud ( X 2) and mobile banking fraud ( X 3). Furthermore, a multiple regression model equation was developed for the prediction of financial loss as a function of the two independent variables ( X 2 and X 3). Practical implications This study adds to the literature on cyberfraud mitigation. The findings may promote the combat against cyberfraud in the South Africa’s financial institutions. It may also assist South Africa’s financial institutions to predict the financial loss that financial institutions can incur over time. It is recommended that South Africa’s financial institutions pay attention to these two key variables and mitigate any associated risks as they are crucial in determining their profitability. Originality/value Existing literature indicated significant financial losses to cyberfraud perpetration without establishing any relationship between the magnitude of losses incurred and the prevalent forms of cyberfraud. Thus, the novelty of this study lies in the analysis of cyberfraud in the South African banking industry using a multiple regression approach to link financial losses to the perpetration of the prevalent forms of cyberfraud. It also develops a predictive model for the estimation and projection of financial losses.
Orphan works

Digitization, dissemination or publication of works or other objects protected by copyright or related copyright rights, in the conditions where the copyright holders are not identified or in the second situation when the holder, although identified, is not located represents a new institution by defining it as the institution of "orphan works". In the research we are undertaking, we intend to identify the status of "orphan work", which works have the status of "orphan work" and which category of works cannot acquire the status of "orphan work". In all situations, appropriate research activities are required to conduct a diligent search in good faith to verify the status of the work in question and to verify under what conditions a particular work has been declared an orphan work.
FORMATIVE VALENCES OF PEER ASSESSMENT IN PROJECT-BASED LEARNING

In the context of the current conditions of the postmodernist society, the necessary skills as prerequisites for success in the 21st century of any young person refer to the „4C” skills: critical thinking, communication, collaboration and creativity; digital and information literacy; flexibility, adaptability, initiative and pro-activity, social and intercultural interaction, productivity, social responsibility. Education comes to respond to these imperatives. An instructional model that is becoming relevant in this regard is project-based learning. One of the biggest problems related to the application of the project remains the assessment. One way of assessing students' acquisitions is peer assessment, through which students provide constructive and effective feedback with reference to the results obtained by their peers. Based on the results obtained according to the students' questionnaire, we determined that they encounter difficulties in the process of peer assessment, but they have a positive attitude towards this way of assessing the learning results.
Digitising the outbreak

A long-envisaged goal of outbreak response is a system that capitalises on the availability of massive amounts of diverse data types and the pervasiveness of smartphones to track and communicate an individual's risk in real time. Let's call this hypothetical app “WhatsEpi”. What might WhatsEpi look like and how could existing technologies be used to realise it for the future disease X pandemic?
Perfect state transfer by means of discrete-time quantum walk on the complete bipartite graph

Abstract Perfect state transfer has attracted a great deal of attention recently due to its crucial role in quantum communication and scalable quantum computation. In this paper, we propose the perfect state transfer algorithms with a pair of sender-receiver and two pairs of sender-receiver on the complete bipartite graph respectively. The algorithm with a pair of sender-receiver is implemented through discrete-time quantum walk, flexibly setting the coin operators based on the positions of the sender and receiver. The algorithm with two pairs of sender-receiver ensures that the two quantum states are distributed on both sides of the complete bipartite graph during the process, thereby achieving perfect state transfer. In addition, the quantum circuits corresponding to the algorithms are provided. The algorithms can transfer an arbitrary quantum state and can simultaneously transfer two arbitrary quantum states from the senders to the receivers in any case. Moreover, the algorithms are not only applicable to complete bipartite graphs but also to more graph structures with complete bipartite subgraphs, which will provide potential applications for quantum information processing.
Robot motion visual measurement based on RANSAC and weighted constraints method

Abstract Precision of the coordinate transformation model parameters is crucial for the accuracy of the vision-based robot spatial motion measurement method. In this work, an optimization algorithm integrating RANSAC and iterative weighted singular value decomposition (IR-SVD) is proposed for improving the coordinate transformation model solution precision, aiming at enhancing the spatial motion measurement accuracy of the binocular vision system. Considering noises existing in reference transformation point pairs, the RANSAC algorithm is introduced to filter the raw measurement point pairs and extract inliers, thereby eliminating potential gross errors and realizing the cluster of advantageous points. An enhanced SVD method based on iterative weighted constraints is proposed to substitute traditional SVD. After calculating the coordinate transformation model parameters, the measurement errors of inliers are solved synchronously, and the weights are reallocated in light of the measurement errors value, subsequently recalculating the coordinate transformation model parameters repeatedly until the errors converge. The validation experiments are conducted on the self-built three-degree-of-freedom rectangular coordinate robot platform. The experimental results of discrete point-to-point motion and continuous trajectory motion measurement show that the proposed method can improve the coordinate transformation model parameters solution accuracy effectively, comparing with the traditional SVD method. Comparative experiment with existing commonly used coordinate transformation methods including Quaternion and iterative closest point indicates that the proposed method exhibits the best applicability and minimal errors in robot motion visual measurement. Both accuracy of the coordinate transformation model solution and the visual system’s motion measurement are enhanced with this newly-proposed, optimized method.
Effect evaluation of video content and audiovisual devices on VR tourism for young people

After the conclusion of the COVID-19 pandemic, Japan has witnessed a substantial influx of foreign tourists. However, owing to the demographic challenges posed by an aging population, the domestic tourism market in Japan continues to face significant obstacles. With the proliferation of smart devices, the emergence of virtual tourism has become a feasible avenue for potential growth within the tourism sector. In this study, we focused on the prevailing forms of virtual tourism media, specifically 180-degree and 360-degree videos, as well as mainstream audiovisual devices, namely virtual reality (VR) and smartphones. We conducted an experiment to evaluate the content of the videos by employing a combination of questionnaire surveys and near-infrared spectroscopy (NIRS) technology. The analysis of the results indicates that 360-degree video content may give a more relaxed experience than 180-degree video content with VR glasses among young people for virtual tours. From the results of questionnaire, young people preferred 360-degree video content to 180-degree video content, and they preferred VR glasses to smartphones as a device for virtual tours.