Reviewerly/exHarmony huggingface dataset:
System Verification and Validation Approach Using the MagicGrid Framework

Abstract The ongoing transformation in the industry from a document‐based systems engineering to a model‐based systems engineering approach reveals a need for new methods of verifying and validating systems. Traditional methods of testing the actual system are getting more and more expensive. A model‐based environment could significantly reduce testing and, most importantly, verification and validation processes costs. It allows testing on the system model by applying various techniques, such as simulation, analysis, review, mock‐ups, etc. There are, however, very few approaches today detailing how verification and validation of the entire system (taking into count its components and subsystems) could be performed. This paper proposes an approach to perform verification and validation of a system using system models developed with Systems Modeling Language (SysML) and in accordance with the MagicGrid (formerly known as MBSE Grid) framework. The approach covers system testing activities beginning with verification of the lowest modeled system elements against system requirements and finishing with validation of the system as a whole, against stakeholder needs.
The Influence of The Internet As A Source of Online Literature and The Level of Student Plagiarism

This study aims to describe the level of intensity of internet use as a provider of online literature and the level of plagiarism committed by students. In addition, the significance of the influence of the intensity of internet use as a provider of online literature on the level of student plagiarism is also seen here. The population in this study was all students of the Department of Islamic Religious Education, Faculty of Tarbiyah and Teacher Training, UIN Alauddin Makassar, for the 2019/2020 academic year, totaling 312 people. Using stratified random sampling, 31 people were selected as the sample. Data collection was carried out using a questionnaire and analyzed with descriptive and inferential statistics. The results of this study indicate that first, the measure of the intensity level of internet use as a provider of online literature is included in the moderate qualification, namely the average (mean) of 32.65. Second, the measure of the level of plagiarism among students of the Department of Islamic Religious Education, the Faculty of Tarbiyah, and Teacher Training is included in the moderate qualification, namely the average (mean) of 38.39. Therefore, this article concludes that there is a significant influence between the intensity of internet use as a provider of online literature and the level of plagiarism.
The satisfaction degree of doctoral students with the services provided by the ASEM scientific library

The article presents the results of the research of the degree of satisfaction of doctoral students regarding the services of the Scientific Library of Academy of Economic Studies of Moldova, the conclusions and recommendations for improving the informational service of doctoral students.
Researching on the Mechanism of Event Structuralization for Double Serial Verbs

Serial verb; Event; Structuralization
The customer trust evaluation of e-commerce market based on portfolio weighting: cloud model

In order to improve the evaluation effect of customer trust in e-commerce market, this paper studies the evaluation method of customer trust in e-commerce market based on combination weighting and cloud model. According to the technical, business, the customer first three factors, e-commerce market customer trust evaluation index system; then the combined weight of evaluation index is determined by the improved analytic hierarchy process (AHP) and entropy method; finally through the cloud model building customer trust evaluation level discriminant model, introducing fuzzy entropy for final evaluation results. Experiments show: the method is constructed of the evaluation index in the index layer Cronbach 's were significantly higher than 0.7, shows that this method has a better effect of index system building, can effectively promote the electronic commerce often customer trust evaluation results.
EVALUATION OF EDUCATION RESULTS DURING THE COVID-19 PANDEMIC BY STUDENTS INVOLVED IN PROFESSIONAL AND AMATEUR SPORTS

The article is devoted to the actual problem associated with the introduction in March 2020 in educational institutions of e-learning and learning using distance learning technologies in order to prevent the spread of a new coronavirus infection. Students involved in professional and amateur sports during the pandemic faced additional difficulties associated with a completely remote format for mastering the educational program and conducting training. The purpose of the study is to identify the assessment by students involved in professional and amateur sports of the level of formation of their professional and supra-professional competencies in the context of organizing the educational process exclusively with the use of distance learning technologies and e-learning during the COVID-19 pandemic. Materials and methods. The study included 110 students of the KSPU named after. V.P. Astafiev and KrasSMU named after prof. V.F. Voyno-Yasenetsky: 62 professional athletes, and 48 students involving in amateur sports. Instrumental methods of research and electronic questioning Google Forms were used. Statistical analysis was carried out using the Microsoft Office Excel 2017 software package and Google Forms. Research results. More than half of the students noted significant differences in the formation of their professional competencies in the conditions of the pandemic (52.36% of respondents in both groups noted a decrease in the level of academic competencies, in 47.64% the level did not change). Students noted a sharp decrease in the level of formation of supra-professional competences (soft skills). Only emotional intelligence remained unchanged for the majority (53.64% of respondents), 46.36% noted its decline. Conclusions. Empirically obtained data allow us to state that the implementation of the educational process using exclusively e-learning and distance learning, in the opinion of students of educational institutions of higher education involved in professional and amateur sports, negatively affects the effectiveness of the educational process: 52.36% have a decrease in the level of formation of professional competencies and there is a sharp decrease in the level of supra-professional competences (the level of formation of cognitive intelligence, creativity, critical thinking, the level of communication).
Predicting Children's Talent Based On Hobby Using C4.5 Algorithm And Random Forest

A person's talent is closely related to intelligence, hobbies, and interests. These factors are the best features to be used in a dataset to predict a children's talent, such as in an academy, arts, or sports. This research uses the C4.5 and random forest algorithms in 8 different models to predict a children's talent based on a dataset gained from a survey involving 1601 parents. Each model contains four training-testing data ratios, such as 50:50, 60:40, 70:30, and 80:20. We calculate each model prediction performance using 10-fold and 20-fold cross validation, with the accuracy, f-score, precision, and recall values as a comparison. The best result for the training evaluation we get is 91.5% for each comparison value from the random forest model (70:30 ratio) using a 20-fold cross-validation. For the testing evaluation, we get 92.7%, 92.8%, 92.8%, and 92.7% from the random forest model (50:50 ratio). The worst testing evaluation we get is 81.7% for each comparison value from the C4.5 model (50:50 ratio) using a 20-fold cross-validation. For the testing evaluation, we get 89.2%, 89.2%, 89.3%, and 89.2% from the C4.5 model (50:50 ratio).
A Study on the Characteristics of Regional Program in University Museum

The purpose of this study is to analyze the current status and characteristics of university museum programs in order to revitalize regional links between university museums. Four university museums established before 1954 (Yonsei University Museum, Korea University Museum, Ewha Women's University Museum, and Seoul National University Museum) were selected as research subjects. The result proves that all four university museums recognize the importance of regional linkages and have conducted programs that pursue regional linkages for local residents, however, there were limits in diversity of the programs that they were mostly focused on specific frames. In the further follow-up studies, measures to strengthen locality are expected to be sought through the development of regional linkage programs by the university museum.
A Problem-Based Learning Model for Enhancing Communication Skills in General Spanish Education

This study aimed to design a problem-based learning model for general Spanish course to strengthen communication using learner-centered teaching methods. The subjects of this study were divided into two classes for a total of 80 freshmen students taking Spanish classes in a university in Daejeon City for 10 weeks in the second semester of 2022. After reviewing the validity of five experts, the final model was completed through learner evaluation after applying it to actual classes. The results of the expert validity test showed that the average of suitability, explanatory power, and usefulness items was 3.0 or higher, but the average of comprehension items was 2.8 and less than 3.0. The final model of problem-based learning design was completed by reflecting the results of expert validity verification and learner evaluation.
Effect of Female College Students' Protean Career Attitude on Major Satisfaction

This study is aimed to analyze the effect of protean career attitude on major satisfaction for students going to college. Accordingly, the regulation effect of career resilience in the relation between protean career attitude and major satisfaction were identified. For this purpose, the investigators utilized tools from previous empirical studies conducted by Baruch(2014), and Cho A mi etc(2019), respectively, to conduct a regression analysis on the relationship between perception of lifelong learning and protean career attitude among four-year college students. To identify the regulation effect, an analysis using PROCESS Macro for SPSS program was carried out. The following presents the results. First, the college students’ protean career attitude was significantly related to major satisfaction. Second, when the career resilience were moderator variables, the higher the career resilience, the more strengthened the effect of protean career attitude on major satisfaction.
A Study on the Research Trends and Implications of 'Reading One Book in a Semester'

The aim of this paper is to analyze the quantitative trends of research on the “Reading One Book in a Semester” and to examine the various aspects of these studies based on it. Accordingly, various perspectives of research on curriculum and extracurricular programs related to the “Reading One Book in a Semester” implemented in elementary, middle, and high schools after the revised 2015 curriculum were examined, categorized into studies on text analysis, teaching method, surveys and experiments, and general research. In particular, studies on teaching method was closely examined by further categorizing it based on the format of classes, instructional goals and methods, and selection of books.
ESL strategies: bibliometric analysis through scientific mapping in WoS and Scopus

The field of language learning strategies has seen a growing interest in students who tend to recall them to learn a language faster and more effectively. In some cases, learning a language causes traumas, and not knowing how to control anxiety, follow motivation, and keep up with the task can be overwhelming. This review examines the most frequently used strategies in language learning. The articles reviewed were from 2000 until 2022 across two databases: Scopus and WoS. The methodology used was bibliometric analysis. The review found that students use their language learning strategies according to their language level and the skills they try to master. More studies should cover this area to apply common and useful strategies in regular classes.
Argumentative Writing Education Method and Improvement Plan for College Writing Curriculum

This paper recognizes the importance of argumentative writing education and attempts to discuss the existing operation method and improvement plans by examining it through argumentative writing instructional methods. As a result, W University's 'University Writing' curriculum, unlike other college writing curricula, focuses on theory and practice related to argumentative writing for one semester to specifically improve learners' argumentative writing skills. However, it was found that by focusing only on argumentative writing education, the problem of a lack of basic writing skills such as spelling and spacing, arises. Therefore, while following the common curriculum, it is possible to improve the argumentative writing ability by using the short assigned practice and task-related feedback time to supplement the learner's abilities and repeat the instructor's feedback based on it. This method was found to be a net positive as it increased the satisfaction of the learners much more than when the common curriculum process was applied as is.
THE POWER OF ART: POETRY AGAINST TUBERCULOSIS

The paper attempts to provide some insight into development and make suggestions for improvement of students’ work-based learning (WBL) and practical placements based on the analysis of some WBL cases in European universities. These proposals aim to improve the quality of education and ensure the decent employment of the graduates. The large-scale survey of employers revealed their high interest in the admission of students for practical placements. The proposals for the organization of WBL and practical placements based on close university-business cooperation were set forward within the ERASMUS+ project «UniLab – From university to labour market in the 21st century: a step forward in work-based placements” which embraced seven countries, including Russia with four university participants. Theoretical and empirical analysis of the EU cases helped the project partners identified some future-proofed tools for the Russian HEIs. To achieve the goals set in the project, the following methods were used: document analysis, literature review, study the best experience of the UniLab partners, and the survey of companies. The article makes contribution to the existing volume of research and knowledge related to the university-business partnerships, and suggests positive steps that need to be taken for upgrading WBL efficiency.
SOME CASES OF WORK-BASED LEARNING IN EUROPEAN SYSTEM OF HIGHER EDUCATION

The paper attempts to provide some insight into development and make suggestions for improvement of students’ work-based learning (WBL) and practical placements based on the analysis of some WBL cases in European universities. These proposals aim to improve the quality of education and ensure the decent employment of the graduates. The large-scale survey of employers revealed their high interest in the admission of students for practical placements. The proposals for the organization of WBL and practical placements based on close university-business cooperation were set forward within the ERASMUS+ project «UniLab – From university to labour market in the 21st century: a step forward in work-based placements” which embraced seven countries, including Russia with four university participants. Theoretical and empirical analysis of the EU cases helped the project partners identified some future-proofed tools for the Russian HEIs. To achieve the goals set in the project, the following methods were used: document analysis, literature review, study the best experience of the UniLab partners, and the survey of companies. The article makes contribution to the existing volume of research and knowledge related to the university-business partnerships, and suggests positive steps that need to be taken for upgrading WBL efficiency.
Developing Interactive Digital Modules on Discovery Learning to Improve Students Learning Interest

Abstract is a short description of an article or scientific paper consisting four components, namely: (1) Problem and objective; (2) Method; (3) Result and Discussion; and (4) Conclusion and Suggestion. Abstract is written in two languages, that is, Indonesian and English. Besides, abstract is written in one paragraph without any footnote or citation, single space among rows. The impact of online system learning during the Covid-19 pandemic caused the discovery learning model to be less efective, resulting in a decrease on student interest learning. The addition of an interactive digital module supplement is a complementary means to maximize the online process with the discovery learning model. This study aims to: (1) determine the feasibility of an interactive digital module based on discovery learning, (2) increase student interest in learning. This research is a development research with a 4 D model which is summarized and optimized into 3 D. The research into 3 D. The research subjects were selected by purposive sampling, in class XI MIPA 2 SMA Negeri I Karanganyar. Research instruments include learning tools, observation sheets, interview guides and questionnaires. The questionnaire consisted of validation of the learning practitionerâ€™s assesment, validation of the learning practitionerâ€™s assesment, learning interest questionnaire, student needs analysis questitionnaire, and student response questionnaire of the media. Data analysis technique consisted of the qualitative descriptive and quantitative descriptive using Rasch analysis in the Winstep 3.73. The results of the research to: (1) interactive digital module is categorized as very suitable for use in learning based on the result of the assesment of the expert practitioners, learning experts, media experts, and material experts, and (2) pre-post results of the interest in learning questionnaire ere analyzed Rasch using the stacking method. The difference between the average results of the post-questionnaire and pre questionnaire shows that there is an improve in student interest learning.Â
Recipe for Fast Large-Scale SVM Training: Polishing, Parallelism, and More RAM!

Support vector machines (SVMs) are a standard method in the machine learning toolbox, in particular for tabular data. Non-linear kernel SVMs often deliver highly accurate predictors, however, at the cost of long training times. That problem is aggravated by the exponential growth of data volumes over time. It was tackled in the past mainly by two types of techniques: approximate solvers, and parallel GPU implementations. In this work, we combine both approaches to design an extremely fast dual SVM solver. We fully exploit the capabilities of modern compute servers: many-core architectures, multiple high-end GPUs, and large random access memory. On such a machine, we train a large-margin classifier on the ImageNet data set in 24 min.
Characterization of bolted joint surface enabled by multimodal measurement

Stress-strain detection of scattering materials, such as metal surfaces, is an unavoidable issue during bolt assembly monitoring; conventional strategies of laser morphology will be limited by scattering illumination. Contact and marked measurement have been considered as acceptable solutions for long time. Herein, we implement the multimodal characterization for bolted joint surface. A reflection digital holographic microscope (RDHM) has been combined with laser triangulation measurement for achieving quantitative micro-deformation description of the connecting region between bolts and metal plate. The calibrated laser triangulation instrument is installed on the electronically controlled translation platform for two-dimensional scanning. A structure extraction algorithm is proposed to realize fast 3D reconstruction of the scanned area. The profiles obtained by triangulation are used, as ground truth, to calibrate the measured reflective holographic morphology. Affected by the strong scattering from the metal surface, it is difficult to completely characterize the metal surface by the single shot holographic measurement results. But considering that the spatial resolution requirement of strain measurement is low during bolt installation, holographic measurement will be an excellent compromise with high temporal resolution. In this case, the triangulation will complement digital holography well. Therefore, the strategy of mixing the two methods will become a preferred solution in near future.
Efficient Video Portrait Reenactment via Grid-based Codebook

While progress has been made in the field of portrait reenactment, the problem of how to efficiently produce high-fidelity and accurate videos remains. Recent studies build direct mappings between driving signals and their predictions, leading to failure cases when synthesizing background textures and detailed local motions. In this paper, we propose the Video Portrait via Grid-based Codebook (VPGC) framework, which achieves efficient and high-fidelity portrait modeling. Our key insight is to query driving signals in a position-aware textural codebook with an explicit grid structure. The grid-based codebook stores delicate textural information locally according to our observations on video portraits, which can be learned efficiently and precisely. We subsequently design a Prior-Guided Driving Module to predict reliable features from the driving signals, which can be later decoded back to high-quality video portraits by querying the codebook. Comprehensive experiments are conducted to validate the effectiveness of our approach.
Abstractness and Language as a Social Tool

Chapter 8 shows that the idea that words are social tools particularly suits abstract concepts. I first review studies on conceptual acquisition in infants and children, highlighting the crucial role social and linguistic experiences play, particularly for abstract concepts. I then review studies showing that contexts referring to social situations are more effective for processing abstract than concrete concepts. The importance of social and linguistic experiences makes it necessary to adopt new methods for studying abstract concepts. These methods, which consider language a form of participatory sense-making, focus on online dialogic interactions. The final section outlines the proposal that abstract concepts have an essential social function, enhancing social cohesion. One of the possible reasons why they are so common might be linked to our need to share and co-construct our world with others. This need is particularly evident with words, like abstract ones, the meaning of which is less anchored to perceptual stimuli and more debatable and flexible.
Covering Number Estimates

This chapter derives covering number estimates of certain function classes, including some parametric and nonparametric function classes. They can be used to bound the complexity of various machine learning problems.
Uniform Convergence and Generalization Analysis

This chapter introduces the concept of covering numbers and uniform convergence, and using them to analyze the generalization of machine learning algorithms.
Analysis of Kernel Methods

The idea of reproducing kernel Hilbert space (RKHS), was popularized in machine learning through support vector machines (SVMs) in the 1990s. This chapter presents an overview of RKHS kernel methods and their theoretical analysis.