Reviewerly/exHarmony huggingface dataset:
Workshop—Participatory Cultures Beyond Limits? Criteria for Creative Potential of SocialVR in Art Educational Contexts

SocialVR offers a variety of learning opportunities as embodiment in spheres for creation and exploration.Hybrid creativity in participatory media culture meets agency beyond physical limitations.Yet, with strong affective and multi-sensorial stimulation, it is vital to match learners` heterogeneous abilities and preconditions.This workshop is addressing art educators as well as XRplatform designers for joint interdisciplinary perspectives.How do platforms engage or inhibit creative potential?How accessible and safe are SocialVR environments for creative purposes?We suggest a classification of SocialVR scenarios in art education and respective quality criteria.The criteria stretch from accessibility, room for creativity and aesthetic flexibility to ethical implications.
Reservoir computing advances the ability to predict phase changes in chaotic systems

By relaxing criteria to only predict the evolution of the phase variable, researchers extend prediction horizons by more than two orders of magnitude in chaotic systems.
Communication Challenges in DevOps a Mitigation Strategies

DevOps is a collection of practices used to automate theprocesses between the development and the operations teams. Thereexist various barriers between these two teams as they are traditionallysepa ...
Contributions to the Computational Processing of Diachronic Linguistic Corpora

Computer-assisted corpus linguistics is one of the main points of convergence between linguistic and computational methods. In particular, the use of diachronic linguistic corpora provides opportunities for the quantitative analysis of phenomena concerning language change through time. This dissertation offers contributions to three of the stages of the research involving diachronic corpora: (a) corpus building and compilation; (b) designing of tools and algorithms for data exploration; and (c) data analysis for linguistic, cultural and historical research. Two resources are first presented: a Web scraper of comments from news portals; and a diachronic corpus composed of comments published in a news website. Then, I propose a generalizable method to assist in the identification of periods of establishment and obsolescence of linguistic items in a diachronic corpus based on the frequency of these items in the corpus. This method may be employed for the analysis of any collection of linguistic items, regardless of language or historical period. Finally, I describe how diachronic corpora might be used for quantitative linguistic investigation by proposing a framework centered on the investigation of vocabulary through a diachronic approach, and demonstrate its applicability by analyzing the use of the term 'fake news' in the media.
Interactive 3D Directory: University of La Salette

Background/Objectives: There is an impact of multimedia on engineering students. They use interactive multimedia to simulate scenarios in computer applications, electronics, and later implement and calibrate their designs in an actual environment. Architecture students use interactive multimedia for design presentations. Methods/Statistical analysis: This study focuses on the development of the Interactive 3D Directory for the University of La Salette. As Computer Engineers, we want to showcase our skills and knowledge to the locality and to help the end-users, i.e., visitors, new students, and transferees, to locate buildings and departments in this University. We used Unity3d, c# programming, and SketchUp to develop this project. This study used the survey method to acquire related data. Questionnaires were floated before and after the implementation of the system. Findings: The results found out that most of the time, new students, transferees, visitors ask directions and feel the need for a system that gives accurate directions. The results also found out that most of the respondents agree that the developed system was effective and easy to use. Improvements/Applications: Based on the study findings, the researchers suggest that the administration introduce the established program on all of the region's high school campuses to help visitors, transferees, and new students identify offices, facilities, and departments.
Development of a recommender System for adaptive e-learning

Recent years have seen the web as an essential mean for Learning and Education, thanks to the almost infinite amount of information shared and to the explosion in development and adoption of e-Learning platforms thatallow people to study any topic without the barriers of time, geography and physical participation. In addition to traditional learning content, online platforms allow user-centered approaches, creating an interactive and consequently very effective learning environment. The objective of the thesis is to develop an adaptive learning system for an Italian e-Learning Platform, leader on the market, being able to recommend an optimized learning path for each user. The developed system will be based on machine learning algorithms, which will learn from users’ performance and Learning characteristics – e.g. time spent learning a single topic, speed of improvement and learning abilities, test scores and completion times – in order to drive the user toward the next best new topic to study or the review on the most appropriate past topics to fill his/her knowledge gap.The focus will be mainly on mathematics courses, which are, currently, the most requested on the platform.
The 3D Emotion Recognition Using SVM and HoG Features

Emotion recognition is becoming commercially popular due to the major role of analytics in various aspects of marketing and strategy management. Several papers have been proposed in emotion recognition. They are mainly classified in the past under 2D and 3D emotion recognition, out of which 2D emotion recognition has been more popular. Various aspects like facial posture, light intensity variations and sensor-independent recognition have been studied by different authors in the past. However, in reality, 3D emotion recognition has been found to be more efficient which has a broader area of use. In this paper, a 3D tracking plane with 2D feature points has enabled us to recognize emotions by statistical voting method from all planes having over threshold number of points in their respective contour area. The proposed technique’s results are comparable to existing methods in terms of time, space complexity and accuracy improvement.
Research Guides: Summer Tales 2020: Reading #2

Summer Tales was launched to create virtual communities for students taking classes remotely promising short mental breaks from coursework through a fool-proof method of distraction.
Users’ Expectation and Perception Gap Analysis of Telkom University Website with Modified WebQual 4.0 Method

Telkom University as one of the universities in Indonesia that have used website media has never done in-depth research to find out whether the main website it manages still has a gap between expectations and perceptions from the perspective of its users. In previous studies, assessments of higher education websites were carried out using the slightly modified WebQual 4.0 instrument by omitting several indicators. However, it is not clear what the priority level of each indicator should be measured, based on the perception of their users. This study will measure the level of the gap between the users' expectations and perceptions of the Telkom University website, and what factors are prioritized to be improved. To collect the required data, researchers distributed questionnaires to 400 stakeholders of the Telkom University website. The collected data were analyzed using the Gap Analysis and Importance-Performance Analysis methods. It can be seen that there are nine indicators on Telkom University's website that need improvement. From the results of this study, it can be concluded that there is still a gap between the expectations and perceptions of users, with several factors that must be corrected to improve the quality of the Telkom University website sequentially from the highest priority. This study contributes by developing the modified WebQual 4.0 instrument to assess the quality of the university website which uses five variables such as Usability, Information Quality, Service Interaction Quality, User Interface Quality, and Availability, and also provides an overview of the indicators that must be improved, indicators that must be maintained, indicators with low priority, and which indicators must be reduced in priority on the Telkom University website, Telkom University, Indonesia
Incomplete entangled bases in bipartite and multipartite quantum systems

We study the properties of unextendibility and uncompletability of incomplete entangled bases of bipartite and multipartite quantum systems by using further entangled states. In particular, we explore local distinguishability properties of such bases. Interestingly, in multipartite systems, we find a class of unextendible entangled bases for which the unextendibility property remains conserved across all bipartitions. We also identify nonlocal operations, local implementation of which require entangled resource states from a higher-dimensional quantum system.
AGILE METHODOLOGY -A PERFECT SDLC MODEL WITH SOME IMPROVEMENTS

Project methodologies have grown with time when there is a need for a project if satisfying thatmodel will have lasted. There are multiple SDLC Models available but no one fits perfectly, as all of them havesome drawbacks. Considering a larger organization, where daily productivity, hours of work done, no ofresources used, and progress made in the project are monitored on a day to day basis. Picking up the correctSDLC model for the project is very crucial because when the work gets started, there is no way to alter it back.The Agile methodology does it all, it provides matrices, reports, progress, and the backlogs. Everything is beingmonitored very closely, throughout the development and testing of the product. This paper addresses theproblem which is encountered during the testing of an application when a failed test case or defect is added toproduct backlog since no more fixes can be made to it.
DATA MINING TECHNIQUES AND PREDICTIVE ANALYSIS

AbstractData Mining is the technique which helps in extracting applicative information from a passel of data that leads tovarious deductions. It is comprehensive expertise which uses machine learning, statistics, AI and databasetechnology. It is all about unearthing ingenious relationships amid the data. Here we are discussing varioustechniques that we can draw upon/ employ to make this process effective.
Exploring L2 Learners’ Views on Language Learning Through Social Networking Sites at a Public Sector University, Sindh, Pakistan

Despite the fact that language researchers propose the integration of language learning and technology, Pakistani universities seem to be struggling between traditional and digital methodologies.E-learning and CALL are the products of such efforts in modern pedagogical practices.Social Networking Sites (SNS) are one of the available resources that mediate E-learning or digital learning and teaching.This Study explores the views of L2 learners on language learning through social networking sites.The qualitative approach has been used in the present study to address the issue.The participants (n=10) were recruited using purposive sampling.The researchers used interview as a data collection tool.Participants' responses were analyzed by using extensive content analysis.The study found that Social networking sites (SNS) are helpful in learning English language; however, the individual experiences and practices influence the learning process.The study further finds that the vague boundary system of social sites is a hurdle in its implementation in educational system or digital learning/teaching styles.The study recommends that e-learning can be integrated into classroom to promote learners' autonomy and to connect L2 learners with digital world to experience new ways of literacy and learning.
Digital Electronic Portrait Archive and Display System

Photos either portrait or full pictures serve different functions which include but not limited to hark back to events; remember personalities, etc. The collection of photos is popularly referring to as photo album. The creation of photo albums is mainly to keep record of event and attached to photos. Portrait photos collections are currently been used as indication of occupants of offices within a particular period of time and in such case the number increases as the number of occupants of the office increases. This work is focused on design of an electronic digital portrait in the form of a slideshow whereby multiple images can be displayed in a single frame we use a Raspberry Pi 3 motherboard technology with some of it features related to the design connected to an LCD monitor via a HDMI interface. The components were interfaced using phase testing approach and the output was packaged hanging and displaying of stored portrait.
Intuitionistic L-fuzzy graph

In this paper we introduce intuitionistic L-fuzzy graph as a generalization of intuitionistic fuzzy graph. The operations on intuitionistic L-fuzzy graph such as union, intersection, complement are discussed. Also, we try to define matrices associated with Intuitionistic L-fuzzy graph.
A LEAST SQUARE ALGORITHM FOR GEOMETRIC MATCHING OF REMOTE SENSED IMAGES

Abstract. The aim of geometric matching is to extract the geometric transformation parameters between the corresponding images. That is useful for photogrammetric mapping, deformation detection, and flying platform's posture analyses, etc. It is different compare with ordinary feature based image matching succeed by selecting feature points correctly, the proposed method takes all the pixels within the corresponding images to participate the matching procedure for calculating the geometric parameters by least square criterion. The principle of the algorithm, such as the gray corresponding equation, the information quantity inequation and procedure of least square solution are introduced in detail. Particularly, the wavelet analyses for gray signal and calculating the information quantity by signal to noise ratio. Finally, a series of sequential images obtained by a low-altitude helicopter equipped with a video camera was used to test and verify the validity and reliability of the theory and algorithm in this paper. Two typical results are got according to the relative orientation elements model and parallax grid model. The conclusion is got in comparing APM with ordinary feature point method by the information quantity inequation.
Effects of blockchain technology on Sweden's digital healthcare

Blockchain technology has recently gained increased attention. Experts praise it as the “new Internet” for goods. The potential of blockchain technology today is undeniable. Yet, initiatives in oth ...
Big Data Trust Evaluation Based on D-S Evidence Theory and PageRank Model

In view of the multi-dimensional attributes and uncertainties existing in the trust evaluation of big data nodes under the big data environment, this paper proposes a big data distributed collaborative trust management framework and a trust assessment model and a trust assessment model. On the basis of big data production environment, the new big data trust processing agent is creatively proposed to calculate and manage data source trust information and establish trust network through trust processing agent. In the calculation of direct trust, this paper adopts the multi-dimensional trust evaluation method of D-S evidence theory to evaluate the direct trust value of the trust agent to the big data source and uses dynamic weight to modify Dempster’s rule of combination to avoid evidence conflict. When calculating the indirect trust value, this paper uses PageRank algorithm to calculate the recommended value of the trust processing agent. Finally, the integrated trust values of big data sources are obtained by combining direct and indirect trust. Experimental analysis shows that the trust model can make trust evaluation for big data sources accurately, has obvious ability to distinguish trust, and has strong robustness.
RECOMMENDATIONS FOR THE USE OF OPEN SYSTEMS NETWORK TECHNOLOGIES IN THE STUDY OF FUTURE BACHELORS OF INFORMATICS

The article presents recommendations for the use of open systems network technologies (OSNT). It determines the priority directions of the use of OSNT and the circumstances of their implementation at higher educational institutions (HEI). While modeling the process of specialist training, all its aspects (educational, scientific, organizational, managerial, educational etc.) should be analysed. It is important to use open systems network technologies in the educational process at HEI. The transition to the system of organization of educational process with the use of OSNT is theoretically grounded. Such transition requires that a university present an information package about the institution and a student coordinator for the educational process. The article focuses on the process of training of Bachelors of Informatics. It is determined that informing of future Bachelors of Informatics about the organization of their study program, peculiarities of training quality control and managerial activity is carried out at all levels of management: chair, dean’s office, university administration. The peculiarities of the use of OSNT by all the participants of the educational process of the HEI are described. It is substantiated that OSNT fully accompany the process of students training. The academic staff forms the educational load and elaborates the educational and methodical complex of subjects. The administration of HEI and educational and administrative staff of HEI (enrollment committee, the formation of lessons schedule, library, personnel department) also have important functions in the process of students training. OSNT selection for the higher educational institutions should be performed according to the following characteristics: (i) management supporting; (ii) commitment to the end-user; (iii) establishment of three-dimensional interaction; (iv) user service.
THE RURAL TEACHER AS A PROSUMER: THE POSSIBILITIES OF MOBILE DEVICES

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 5734-5739ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1499Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
Introduction of the Methods and Models of University Website Evaluation

Among different tools, university website is one of the cost-effective and convenient methods for communicating with users; it is also a platform for institutions or organizations to achieve their goals. Universities should work on their websites to keep positive images in their public minds. This study aimed to introduce overlapping various types of university website evaluation methods and models. Therefore, content analysis was adopted as the research methodology. Then, scientific databases were searched using the related keywords and extracting the published articles in the context of the university website evaluation. The results of this study showed that university website evaluation models and methods included Quality Web Model Development, Webqem, WAI, Webometrics, E-Qual, University Websites Evaluation and Credibility (UWEAC), University Website Evaluation Framework (UWEF), Development and Validation of the University Website Evaluation Scale (UWES), a Web Usability Evaluation Model for Higher Education (WUEM), University Websites Quality Web Model Development, University Portals Data Quality assessment Framework (UPDQAF), and the University Website Usability Evaluation checklist (UWUE): An exploratory study. In fact, webometrics is the only method that is distinct from other assessment methods. Moreover, UWEAC model with the highest average (0.194) has the most overlap with others. Since the University Websites Evaluation and Credibility (UWEAC) are the comprehensive model, university website designers and evaluators could consider this approach as a preferable model in the university website evaluation but they should ensure that most of the evaluation criteria are considered.
Loma Linda University Libraries: Citation Style Guide: Meet the Library Team

How to cite electronic documents in AMA, APA, MLA, and Chicago styles, plus links to further information on these style formats.
LibGuides: VidGrid: Using VidGrid in Canvas

How to use VidGrid. The screen recording, presentation, demonstration and lecture-capture tool.
Info Guides: Teen Summer Reading: Bullet Journals

Expand your horizons, get creative and try something new this summer by taking part in our teen summer reading challenge! Grades 7-12. Stay organized and inspired in style with your own bullet journal.
EXAMINATION OF THE ADOPTION OF AUGMENTED REALITY IN AL MASJID AL HARAM IN MAKKAH AL MUKARRAMAH: A TAM MODEL APPROACH

Despite the growing importance and popularity of augmented reality (AR) technologies in hospitality and tourism, little research to identify the degree of user adoption, particularly in the travel sector of Hajj and Umrah, has been conducted. Based on a questionnaire administered to 967 visitors of the Holy Mosque of Makkah, visitor experiences and adoption intention were examined and analyzed through structural equation modeling (SEM). Adoption was explored using the technology acceptance model (TAM). The analysis results revealed a reasonable fit between data collected and the model used: chi2 (1844.91), chi2 / DF (2.5), RMSEA (0.13), CFI (0.75), and all values of Cronbach's alpha are higher than 0.70. AR adoption is affected by its perceived value by Haram visitors to which the benefits of usefulness and ease of use contribute, along with attitude and behavioral intention towards the AR actual use.
Construction validation of an instrument for nursing care related to cutaneous xerosis

ABSTRACT Objective: Describe the construct validation process of the instrument “Nursing care for the assessment, prevention and treatment of cutaneous xerosis in the elderly”. Method: Methodological study carried out with 101 nurses in four hospitals in the great João Pessoa, between July and September 2018. Construct validation was performed through exploratory and confirmatory factor analysis, in addition to the consistency check by Cronbach’s alpha. Results: Through the factorial analysis, three factors of the instrument construct were defined: treatment performed for cutaneous xerosis, preventive care for cutaneous xerosis and skin evaluation, with a total explanation variance of 47.77%. In Bartlett’s sphericity test, p &lt;0.001 was obtained, and the general Cronbach’s alpha was 0.811. Conclusion: The instrument proved to be valid and reliable, contributing to the training and practice of nurses as an integral part in the process of caring for the elderly.
Reducing Difficulty Variance in Randomized Assessments

When exams are run asynchronously (i.e., students take it at different times), a student can potentially gain an advantage by receiving information about the exam from someone who took it earlier.Generating random exams from pools of problems mitigates this potential advantage, but has the potential to introduce unfairness if the problems in a given pool are of significantly different difficulty.In this paper, we present an algorithm that takes a collection of problem pools and historical data on student performance on these problems and produces exams with reduced variance of difficulty (relative to naive random selection) while maintaining sufficient variation between exams to ensure security.Specifically, for a synthetic example exam, we can roughly halve the standard deviation of generated assessment difficulty levels with negligible effects on cheating cost functions (e.g., entropy-based measures of diversity).