Reviewerly/exHarmony huggingface dataset:
Technical Challenges & Countermeasures of Blockchain Technology Application in Lifelong Education

The Ministry of Education of China released the Action Plan of Education Informatization 2.0 which put forward the blueprint and prospect of the application of information technology including blockchain in the open lifelong education. For the existing blockchain technology, there are still limitations and challenges in solving the problems of large amount of educational resources data and huge scale of learning groups which are unique to the open lifelong education. In this paper, five aspects are analyzed and corresponding countermeasures are put forward.
EWOM Behavior in the Healthcare Sector – The Case of a Hospital’s Facebook Page

Patients frequently use Facebook for health-related reasons, like seeking of information or the recommendation of practitioners or hospitals. In this way, Facebook provides a powerful communication platform for electronic word-of-mouth (eWOM). The present explorative study provides detailed information regarding eWOM behavior on the Facebook page of an Austrian hospital. Data of the hospital’s Facebook page was gathered and analyzed with NodeXL. Reactions towards the different types of postings were analyzed by counting emojis, the number of shares and comments. Within the study, there was an in-depth evaluation of communication data (313 posts of the hospital, more than 14,000 eWom actions by 3,327 women, men and organizations). The study shows how heterogeneous users are in their eWOM behavior and that a variety of topics on the Facebook page stimulates electronic recommendations. One major finding is that a significant part of the eWOM is done by only a few users. According to this, a so-called Intensive WOM Behavior (IWB) can be identified. Users of the IWB-group behave heterogeneously. Most react either with an emoji, a comment or a share. By providing first insights into the existence of IWB-users as well as their eWOM-behavior, this study offers new insights to eWOM in Facebook.
Research on the Effect of Awards and Grants to Improve the Ability of Scientific Research after 2014 in China

The National Graduate Education Comprehensive Fees Policy has been in operation for more than five years since the fall semester of 2014, which is long enough to evaluate the effectiveness of the policy. Base on the existing research results, this paper proposes to adopt the core index of graduate students&amp;#39; scientific research ability&amp;mdash;the level and quantity of published papers to evaluate the implementation effect of this policy, take GF University as an example to analyze the construction of the university&amp;#39;s award and scholarship system, and make quantitative analysis of the academic graduate students&amp;#39; published papers. It finds that the implementation effect of scholarship system is not obvious. Therefore, this paper analyzes the reasons and puts forward the relevant countermeasures.
Message from the workshop chairs

GrAPL 2020: Workshop on Graphs, Architectures, Programming, and Learning, brings together two closely related topics - how the synthesis (representation) and analysis of graphs is supported in hardware and software, and the ways graph algorithms interact with machine learning. Driven by the natural outgrowth of a wide range of methods used in large-scale data analytics workflows, GrAPL’s scope is broad. GrAPL’2020 is the second edition of the merger between two successful workshop series at IPDPS: GABB and GraML. GABB started at IPDPS’14 with a program of invited-talks and panel discussions. GraML was held at IPDPS in 2017 and 2018.
Implementasi Metode Bilateral Filter Perbaikan Kualitas Citra RGB

In the process of capturing images using a camera or other sensors often experience problems and deterioration in quality, such as capture results that are not as expected. This can happen because of the possibility of a camera lens that is not focused, the lighting settings are not perfect, the presence of dust or other dirt on the camera lens. Improving the quality of an image is necessary so that someone can observe the image clearly and in detail without any disturbance  bilateral filter method is a filter that functions to replace The value of a pixel with the convolution calculation results in the area covered by the filter, this convolution operation is often involved in neighboring pixel operations. Which then produces software applications that are able to reduce the effects of disturbing noise on digital images with the bilateral filter method. With this method, it is expected to be able to solve the problem of image quality improvement in image improvement applications. This study discusses that the process undertaken to implement image improvement based on the bilateral filter method, then an application is built using MATLAB 2013 as an editor to edit programs.
Place and Organizing for Emerging Technologies-Challenges of Scaling 3DPrinting Across a UK Hospital

This paper examines how the role of place shapes the way emerging technologies scale across hospital organizations. Through a five-year ethnographic field study on organizing 3D printing across a major UK National Health Service (NHS) hospital, we extend theory on how places influence the attempted scaling of this emerging technology. Informed by a practice lens and a process research approach, we develop a model that theorizes the constitutive role of place in terms of its resources, materiality and location meaning, which taken together, explain how and why the scaling of 3D printing failed in three different situated places remained rather limited. Moreover, we unpack the idea of place dynamics, which entail processes of place bending, place extending and place framing to theorize the role of place in scaling an emerging technology. We conclude by discussing the implications for the organizing of emerging technologies and highlight the ways in which place is integral to shaping the process of scaling.
SITUATIONAL APPROACH TO ANALYSIS AND EVALUATION OF ORGANIZATIONAL STRUCTURES OF EDUCATION AUTHORITIES

Emerging management challenges often make regional education authorities start transforming their organizational structures. But, as a rule, such reconstruction takes place without analysis and evaluation of the existing structure, identification of its defects and their impact on the management quality. Underestimating these procedures happens because of the lack of scientific and methodological framework for the regional organizational structural research. Ultimately, even new structures are linear-functional, that is why management efficiency cannot be sufficiently increased under dynamic conditions. This article reveals a situational approach to the diagnosing of the organizational structure of the regional education authority in the constituent entity of the Russian Federation. Situational diagnostics includes a set of criteria and procedures that were used to assess the structure of the education authority in the Murmansk region. Diagnostics of the structure of this authority showed poor performance of signifi cant managerial functions, imperfection of the way they are combined, and inconsistency of the organizational structure with the requirements of the external and internal environment. As a result, the situational approach to the diagnosing of organizational education management structures made it possible for managers to assess the authority performance completely in real-time mode, to change their ideas about the priorities of this performace, and to recognize previously unnoticed details.
UIC Public Key Management Website (UIC PKMW) – UIC Communications

The Technical Group sub-groups TAG and TAP-NT have been working on specifications for the barcodes used in ATB RCT2, RCCST and print@home paper tickets and also for barcodes used in mobile App…
LibGuides: Library Remote Resources and Services: Student Resources

This page contains all relevant information related to the University Library's current operations and responses to the COVID-19 outbreak including updates to operations, access to remote services, and other helpful links.
From One of Us to Us: Developing a Theoretical Model of Collective Deviance in IS

Deviance-related behaviors like violations of Information Systems (IS) policies are increasingly common in organizations. These situations of non-compliance with IS policies are subject to various mechanisms inside workgroups, suggesting the collective-level as an important supplement to individual-level explanations to understand deviant acts in the workplace. We rely on social psychology and criminology literature to address collective deviance and to explain its importance for IS research. Our purpose is to investigate the mechanisms behind the deviant behavior among workgroup members, uncovering reasons for the dissemination of collective deviance within organizations and offering a theoretical model that explains the phenomenon. We performed a qualitative study with an exploratory perspective by interviewing members of 5 workgroups deviating from IS policies. The results show that collective deviance immediately disseminates after introduction, emerges as predominant group norm, and indefinitely continues over time in an uninterrupted way despite changes in group size and membership.
Bi-directional Answer-to-Answer Co-attention for Short Answer Grading using Deep Learning

So far different research works have been conducted to achieve short answer questions. Hence, due to the advancement of artificial intelligence and adaptability of deep learning models, we introduced a new model to score short answer subjective questions. Using bi-directional answer to answer co-attention, we have demonstrated the extent to which each words and sentences features of student answer detected by the model and shown prom-ising result on both Kaggle and Mohler’s dataset. The experiment on Amharic short an-swer dataset prepared for this research work also shows promising result that can be used as baseline for subsequent works.
General Trends and Evolutions in the Policies and Strategies Regarding the Training of Human Resources in Education

The training of human resources in education is a fundamental component of any education system and it is generally agreed tohave a direct impact on the education reform process. Under the circumstances, an analysis of training models and strategies andof educational policies regarding didactic and professional standards and competencies, identification of good practices and procedural dysfunctions, doubled bya joint integrativeresearch becomeessential for optimizing the process of quality assurance in education.
DATA MINING IN CLOUD USAGE STATISTICS WITH MATLAB'S FACTS AND DEVICE STUDYING TOOLBOX

This paper focused on data analysis in Matlab by using mostly Statistics and Machine Learning Toolbox. We apply classification and clustering on the data from IT Corporation. Our aspire was to decide whether Matlab technology is suitable to data analysis. The powerful side of this tool is it provides the access to a library of general data handling techniques, graphicalÂs representation, and statistical tools that can be visualized in very supple ways using plotting and imaging instructions. Data training with Matlab was complex and lengthy because a not have of toolboxes. We apply the clustering algorithm fuzzy k-means and classification decision trees. Matlab doesnÂ´t provide any function for revolving the clustering with definite data. We necessary to convert data to high-quality form and to decide the starting number of clusters.
Asking questions to engage with biology: Investigating students’ interaction and learning with an AI-based textbook

Asking questions to engage with biology: Investigating students’ interaction and learning with an AI-based textbook
IMPROVING DISASTER RESPONSE PROCESSES USING KEYWORDS SPECIFICALLY FOR EARTHQUAKES

As Korean society has become more advanced, recent disasters have become more complex, especially when they occur simultaneously with natural disasters.As part of the efforts to cope effectively with a diverse range of disasters, the efficiency of disaster response operations has been reconsidered and ways to improve existing disaster management processes have been investigated.Currently, disaster operations in South Korea are carried out in accordance with type-specific disaster manuals.Although disaster management based on manuals can guarantee clarity and legitimacy, limitations include poor reporting and feedback during disaster operations, difficulty disseminating disaster information, and ineffective training in disaster prevention and preparedness.To overcome these limitations, this study sought to effectively improve disaster services by synthesizing disaster information, which has become much more detailed and accessible due to the development of information technology, with disaster management processes.The research process was as follows: (1) Collect disaster-related keywords for earthquakes in Korea, which have recently become an issue; (2) Evaluate the suitability of the collected disaster-related keywords by conducting a survey of individuals in charge of disaster operations and those in charge of disaster information; (3) Use the results of the survey to associate the disaster-related keywords with the individual disaster management stages; (4) Develop a disaster operation process based on a keyword matrix; and (5) Present a disaster support system model that can effectively express the link between the disaster management stages and disaster-related keywords.This system enables those in charge of disaster response operations to construct a system model for disaster service support that effectively accesses disaster-related keywords that are collected and analysed based on various disaster service characteristics.
PENGELOMPOKKAN LOYALITAS PELANGGAN DENGAN MENGGUNAKAN KOMBINASI RFM DAN ALGORITMA K-MEANS

With so many companies engaged in the same field, the level of competition is very high, so that it will provide a threat for companies to lose customers. To overcome this problem companies can use information technology to process the grouping of customer data that has high loyalty to the company. This can be done quickly with high accuracy even though the amount of customer transaction data is very large and the level of complexity is high. One way that can be used to detect customer loyalty, among them is to use a Monetary Frequency Recency (RFM) analysis, and techniques for grouping can use clustering with the K-Means algorithm.
Students' Self-Regulation, Behavior Engagement, and Performance in a Flipped Learning Environment

The purpose of this study is to examine the effect of students’ self-regulation, co-regulation, and behavioral engagement on their performance in flipped learning environments in higher education. The subjects were college students taking an education course offered in a 4-year university in South Korea. A total of 221 responses were analyzed by adopting structural equation modeling. The findings indicated that the more students are self-regulated, the more likely they are to engage in co-regulation with other students in the class. Students’ self-regulation and co-regulation also significantly affected by their behavioral engagement. Finally, students’ self-regulation positively affected their academic performance, while co-regulation and behavioral engagement did not affect their performance. Based on these findings, this study provides meaningful implications for scholars and practitioners on how to select and use more appropriate instructional strategies to improve students’ positive behavior, engagement, and performance in a flipped learning environment.
Individual Cognitive Capabilities, Strategy Tools, and their Combined Impact on Strategic Options

Dynamic capabilities are vital for a firm to survive and prosper in changing economic contexts. Prior research has substantially advanced our understanding of dynamic capabilities, but little is yet known about their microfoundations. In particular, the cognitive underpinnings of individual capabilities have received little attention, yet they ultimately contribute to performance differences on the organizational level. The present study addresses this gap by exploring the interplay among various individual cognitive capabilities and strategy tools, and it examines their impact on the generation of high-quality strategic options. Taking into account that cognitive capabilities form complex combinations of skills that need to be considered holistically, we adopt a configurational perspective. In specific terms, we conduct an experimental study and we rely on fuzzy-set methodology to analyze how various individual cognitive capabilities, in the form of analytic skill, strategic intelligence, and level of creativity combine with scenario analysis or SWOT analysis to affect the generation of high-value and high-novelty strategic options. Our results provide compelling evidence for the existence of specific high-performing configurations, whilst emphasizing that excellence in generating high-quality strategic options is highly dependent on the specific set of individual mental skills and strategy tools applied.
KECEMASAN GURU-GURU BAHASA INGGRIS DALAM MENGAJAR MATA PELAJARAN BAHASA INGGRIS DI SMA

Teachers apply the theories in the campus into reality in the classroom. Unfortunately, they face the truth that some students feel anxious in learning English. The language anxiety makes the students can not explore their performance. It becomes teachers’ anxiety when the students deal with the feeling. The aim of the community service is to discuss and brainstorm between lecturers as experts and teachers as practicians. It aims to analyze the teachers’ anxiety in teaching English. The community service is held in Cililin in January 2020. The community service is started by explaining Language Anxiety. Then, the lecturers explain about Coping Strategies. Then, they explain about teaching English based on Industrial Era 4.0 through cultural literation of Cililin. It is closed by the QnA session. Some of the lecturers by the committee. The result is the teacher's anxiety level is quite high. By joining the event of community service, the teachers can decrease their anxiety because the lecturers can give several advice and solutions. The conclusion is the anxiety level of English teachers in senior high schools can be decreased when they discuss with the lecturers in a community service event.
THE DYNAMIC DEFORMATION OF THREE-COMPONENT POROUS MEDIA

A mathematical model of the dynamic deformation of three-component elastic media saturated with liquid and gas, given by elastic moduli and coefficients characterizing the porosity and compressibility of the liquid and gas, is considered. Formulas for determining the propagation velocity of monochromatic waves in ternary porous media are obtained. The existence of three longitudinal waves depends on the discriminant of a cubic equation and the velocity ratio.
Effect of CEO Transformational Leadership on Innovative Behavior in the Service Industry

This study explores the relationships among CEO transformational leadership, organizational learning, and employee innovative behavior from the perspective of social exchange theory. The investigation is conducted on valid questionnaire responses collected from 42 companies (173 employees). The results show that CEO transformational leadership is positively related to organizational learning and employee innovative behavior. Moreover, organizational learning plays a mediating role in the relationship between CEO transformational leadership and employee innovative behavior. These results offer reasons to consider employees’ innovative behaviors as the outcome of social exchange. Moreover, CEO transformational leadership exerts cross-level effects on organizational learning and employees’ innovative behaviors.
A space-structure based dissimilarity measure for categorical data

The development of analysis methods for categorical data begun in 90's decade, and it has been booming in the last years. On the other hand, the performance of many of these methods depends on the used metric. Therefore, determining a dissimilarity measure for categorical data is one of the most attractive and recent challenges in data mining problems. However, several similarity/dissimilarity measures proposed in the literature have drawbacks due to high computational cost, or poor performance. For this reason, we propose a new distance metric for categorical data. We call it: Weighted pairing (W-P) based on feature space-structure, where the weights are understood like a degree of contribution of an attribute to the compact cluster structure. The performance of W-P metric was evaluated in the unsupervised learning framework in terms of cluster quality index. We test the W-P in six real categorical datasets downloaded from the public UCI repository, and we make a comparison with the distance metric (DM3) method and hamming metric (H-SBI). Results show that our proposal outperforms DM3 and H-SBI in different experimental configurations. Also, the W-P achieves highest rand index values and a better clustering discriminant than the other methods.
The Influence Of Graphic Organizers, Language Aptitude And Attitude Towardsstudents'english Learning Achievement

&#x0D; As one of the tools that can be applied in teaching and learning process, a graphic organizer is the most effective strategy that recommended by researchers not only in improving students’ English necessary skills but also in reducing students’ negative attitude on learning English. This study was conducted to find out the positive and significant influence of graphic organizer as the delivery strategy towards the students’ reading ability as well as to figure out the positive and meaningful interaction between graphic organizers, language aptitude and students’ attitude towards students’ English learning achievement. Quasi-experiment with a nonequivalent control group design was applied by involving 160 students as the subject of the study. The results showed that there was a positive and significant effect among Graphic Organizers and language aptitude as the main effect, and there were significant interaction effects among them in improving students’ reading ability.
Learning Resources: Online Safety & Security: ONLINE SECURITY

In this section we will look at Online Security, Online Safety, Radicalisation and Extremism
Development of a light field measuring system with corrected distortion based on imaging analysis

A light field microscope can realize three-dimensional measurement through only one exposure by the addition of a critical optical component called a microlens array (MLA). MLA errors will introduce aberrations in the captured image and then affect measurement results. This paper proposes a light field measuring system with aberration correction based on imaging analysis. The effect of MLA errors is investigated and quantitatively analyzed through a series of simulation studies. Aberration correction is realized based on computational imaging, in which an image segmentation and fusion distortion model is employed to correct the distortion, while a gradient-based linear recognition algorithm is used to address MLA rotation errors. Experimental results show that the developed light field measuring system can achieve improved measurement accuracy by correcting aberrations with the proposed algorithms.