Reviewerly/exHarmony huggingface dataset:
Survey of interactions in popular VR experiences

As the first step in a project to examine the quality of interactions in the relatively young field ofVirtualReality (VR), this study showcases the creative variation among modes of interaction. The present paper reports on a multiple case study reviewing VR applications focusing primarily on interactions. By surveying a set of popular applications, we explore the variety as well as the developing conventions within user interactions in VR. Because this research is work-in-progress we provide some preliminary insight that we can build on and discuss in upcoming studies. Our results show a wide array of different ways of interacting with such applications. Generally, these can be categorised in one of a few groups; menus, locomotion and interaction with the virtual environment. We also argue that theory from the field of Human Computer Interaction (HCI) can be applied to VR in regards to design of user interfaces.
Mobile User Authentication Using Keystroke Dynamics

Behavioral biometrics identifies individuals according to their unique way of interacting with computer devices. Keystroke dynamics can be used to identify people, and it can replace the second factor in two-factor authentication. This paper presents a keystroke dynamics biometric system for user authentication in mobile devices. We propose to use data from sensors of motion and position as features for the biometric system to improve the quality of user recognition. The proposed novel model combines different anomaly detection methods (distance-based and density-based) in an ensemble. We achieved the average EER of 8.0%. Our model has a retraining module that updates the keystroke dynamics template of a user each time after a successful authentication in the system. All the process of training and retraining a model and making a decision is made directly on a mobile device using our mobile application, as well as keystroke data is stored on a device.
CNN feature or handcrafted feature in DCF object tracker?

In the DCF framework, a crucial component except DCF trackers is the adopted feature map, especially when we need the tracker to be applied in practical. The powerful feature map from CNN achieves an outstanding performance when compared to the handcrafted feature (HOG, Color-Name), however, it makes the tracker slower and could not meet the need in the real-time scene. In this paper, we visualize the respective feature maps, filter, and location score from CNN, HOG and ColorName, to make a comparison. We also dig into the detail of the target label, for balance the accuracy and robustness of the tracker. Experiments on OTB-2015 show the performance loss from handcrafted feature is acceptable for the real-time application.
Elastic net with adaptive weight for image denoising

Sparse models have been widely used in image denoising, and have achieved state-of-the-art performance in past years. Dictionary learning and sparse code estimation are the two key issues for sparse models. When a dictionary is learned, sparse code estimation is equivalent to a general least absolute shrinkage and selection operator (LASSO) problem. However, there are two limitations of LASSO: 1). LASSO gives rise to a biased estimation. 2). LASSO cannot select highly correlated features simultaneously. In recent years, methods for dictionary construction based on the nonlocal self-similarity property and weighted sparse model, relying on noise estimation, have been proposed. These methods can reduce the biased gap of the estimation, and thus achieve promising results for image denoising. In this paper, we propose an elastic net with adaptive weight for image denoising. Our proposed model can achieve nearly unbiased estimation and select highly correlated features. Experimental results show that our proposed method outperforms other state-of-the-art image denoising methods.
LibGuides: Wegner Library Interlibrary Loan-ILLiad: Creating an ILLiad Account

A how-to guide for creating, navigating and placing a request with Wegner's Interlibrary Loan System, ILLiad. Creating an Interlibrary Loan account
Subjective Complexity Measurement Model for Emergency Repair Based on Improved Weight Support Vector Regression Model

To improve the objective complexity’s inaccurate and less effective in estimating the time and training requirement analyzing, the subjective complexity is introduced. The external, subjective factors such as environment, personal ability is applied to establish the rush repair subjective complexity measurement model by combing weight with support vector which is called improved weight support vector regression model (IWSVR). To solve this model high efficiently, the genetic algorithm meothod which is crossed and viated by cloud model is introduced. Then, the model is validated by the correlativity between the subjective complexity and personal performance (time). The result proves that both the generalization ability and accuracy are better than normal SVR model in personal time estimating and the subjective complexity is better than objective complexity in predicting the personal performance.
IMPROVING STUDENT’S READING COMPREHENSION BY USING THINK PAIR SHARE TECHNIQUE

The objective of the study is to find out whether teaching reading by using think pair share technique cooperative learning can improve student’s reading comprehension. This study was conducted at second years students of SMAN 1 Kembang Tanjong, pidie. The writer used Think Pair Share Technique to teach the student in reading comprehension. The instrument used to collect data in this research was a set of test, that consisted of pretest and posttest. Pretest was given before the writer doing treatment by using Think Pair Share Technique to know the ability of student in mastering reading skill. Post-test was given to know the ability of the student after the teaching proses by used Think Pair Share Technique  for six times. The calculation of the data showed the average score of pre-test experimental class was 53,8 and control class was 47,4. Whereas value of post-test in experimental class was 63.73 and control class was 48,36. The writer got t-score of the students is 5,17 which higher than t-table 1,684 by the level significant of 5%. It indicated that there was a significance progression between students’ pre-test and post-test score in the experimental class after applying Think Pair Share Technique. So, the students’ who was taught reading skill by using think pair share technique were better than whose did not taught reading by using Think Pair Share Technique. Key Words : Reading, Think Pair Share, Cooperative Learning
Research on Key Technology of Multi-channel Time-Frequency Signals Monitoring and Early Warning

In view of the difficulty in monitoring, evaluating and early warning of multi-channel time-frequency signals, this paper designed and developed a multi-channel time-frequency signal monitoring, evaluating and early warning system based on user datagram protocol. The design about the hardware and software architecture of system are introduced in detail. Considering the needs for practical engineering. This paper focuses on the study of some of key technologies. The working principle, design and implementation methods for multi-channel time-frequency measuring instrument is given. Research on time-frequency signal monitoring and early-warning method based on least squares support vector machine (LSSVM) method. The system has been applied to monitor and evaluate key time-frequency signals of BDS ground station; it was used to provide supporting data for analyzing, locating, handling failures of navigation equipment. System application result demonstrates that the signal monitoring accuracy of system has reached the design goal and achieved the expected function successfully.
Sentiment Analysis for Text Feedback Approaches

Sentiment analysis can be account for web content mining of different feedbacks from social platforms, online products, organizations, events, employees. Collecting feedbacks is considered facile but extracting insights out of it is still challenging. Dramatic increase of internet utilization around the world raised up the amount of  feedback data which is a challenge to manage and classify the sentiments. It is been motivated for companies to get more meaningful and actionable insight from their feedback data that will help them to improve their products also it will be convenient for the customers to choose the right product in lesser time. In this system we will see all the different approaches used for sentiment analysis which includes lexicon-based, machine-learning and hybrid approaches. Opinions of people in feedback analyzed for english words and sort the texts in positive and negative reviews for which there must be one or more positive or negative word. To create pool of words firstly it  selects  words having sentiments and from reviews of product using standard approaches it mines the polarity and hence opinion mining is carried out for the betterment.
Disruption Cannot be Planned! On Robotics, Automation, Flying Cars and Smart Digital Solutions: PLENARY PAPER

Is robotics, automation, digitalization, artificial intelligence or any of the current buzzwords really going to disrupt our world? Prof. Dominik Boesl thinks so – in fact, it can even been proven! In order to predict technological breakthroughs, the domains of foresight, future studies and technology assessment offer interesting methods. One of the most know might be the analysis of megatrends. Dominik Boesl is researching the future of robotics, automation and AI and their impact on society out of HDBW (Hochschule der Bayerischen Wirtschaft) in Munich. He is convinced, that our grandchildren will grow up as first Generation R of Robotic Natives – leaving us the last generation of Robotic Immigrants (still with analogue migration background, but …). These future generations will not be afraid of robotics and smart systems permeating their living realm. But technology is never good or bad out of itself – it depends on us how we apply it. The bigger the disruption, the larger the responsibility that comes with it. As chair of the global IEEE TechEthics initiative, Dominik fosters educated discourse about the application of technology and its impact on society and humankind. He is founder and chairman of the Robotic & AI Governance Foundation, pushing for governance structures to (self-)regulate the research, development and productization of automation technologies.
DIGITAL TECHNOLOGIES AS A METHOD OF FORMING STUDENTS ' INFORMATIONAL SKILLS IN THE EDUCATIONAL PROCESS

The article discusses the benefits of using digital technology in the process of forming students' information and communication skills during the educational process. The role of digital technologies in modern pedagogy is evaluated, its advantages used in pedagogical education are listed. The author emphasizes the importance of information and computer technologies in improving the quality of student learning.
ValNorm: A New Word Embedding Intrinsic Evaluation Method Reveals Valence Biases are Consistent Across Languages and Over Decades.

Word embeddings learn implicit biases from linguistic regularities captured by word co-occurrence information. As a result, statistical methods can detect and quantify social biases as well as widely shared associations imbibed by the corpus the word embeddings are trained on. By extending methods that quantify human-like biases in word embeddings, we introduce ValNorm, a new word embedding intrinsic evaluation task, and the first unsupervised method that estimates the affective meaning of valence in words with high accuracy. The correlation between human scores of valence for 399 words collected to establish pleasantness norms in English and ValNorm scores is r=0.88. These 399 words, obtained from social psychology literature, are used to measure biases that are non-discriminatory among social groups. We hypothesize that the valence associations for these words are widely shared across languages and consistent over time. We estimate valence associations of these words using word embeddings from six languages representing various language structures and from historical text covering 200 years. Our method achieves consistently high accuracy, suggesting that the valence associations for these words are widely shared. In contrast, we measure gender stereotypes using the same set of word embeddings and find that social biases vary across languages. Our results signal that valence associations of this word set represent widely shared associations and consequently an intrinsic quality of words.
UCC LibGuides: Game Design and Development: Game Design Labs and Programs

This guide is designed for students in the Game Design and Development A.A.S. (Associate in Applied Science) program.
Mätning av mänsklig beteendedata som ett verktyg i design : En kvalitativ litteraturstudie

Our smartphones and its applications feed on information from their users to develop, become even smarter and more adapted to the one who uses it. By studying human behaviour, one can identify and ...
Refining the Theory-to-Practice Path for FADGI Still Imaging

The Digital Production Lab in John C. Hodges Library at the University of Tennessee, like many university imaging studios, has long relied on a seasonal and temporary labor force drawn from our student body. Improving human-computer interaction in our production workflows should reduce training time and errors while increasing throughput and worker confidence. In this paper, we present our on-going efforts adapting Elgato's Stream Deck XL hardware to control a computer running Apple's macOS operating system and Phase One's Capture One Pro software using Python and AppleScript code. The paper outlines our custom code linking these parts together, describes how this relatively inexpensive input device streamlines our digitization process, and includes ideas for future application.
PROBLEMS OF FORMATION OF CITIZENSHIP OF STUDENTS IN THE CONDITIONS OF MODERNIZATION OF MEDICAL EDUCATION

Problems of forming citizenship of students in the framework of modernizing medical education in the context of the implementation of youth 2 policy in the Russian Federation are among the relevant and most discussed topics. The article draws attention to the methodological prerequisites for the formation of citizenship among young people in medical universities. Based on the analysis, conceptual approaches to the model of such a system are proposed. The personal potential of citizenship is considered as the basis for initiating students to self-education and self-development, the formation of civic orientations and identification in professional activities.
LibGuides: Passwords, Two-Factor Authentication, and Security Questions: Password Basics

This guide goes into more detailed looks at passwords, password managers, and two-factor authentication. The basics of passwords and general tips to making them.
360 Super Root APK 8.1.1.3 Download (%%currentmonth%% %%currentyear%% - Official Latest)

Wondering how to Download 360 Super Root APK? Well, if the answer is yes then you are in the right place. In this article, we will be sharing a complete ...
Beginner 35mm Camera Shootout: Canon AE-1 vs Pentax K1000

Which camera should you choose between two of the most commonly recommended cameras for analog photography beginners? The Canon AE-1 represents ...
LibGuides: Library Research Skills: Finding eBooks: PDF vs EPUB

This LibGuide has the same content as the Finding eBooks module your professor may have in Canvas.
Implementation of virtual reality in technical education: an innovative view

Advancement of Virtual Reality (VR) is creating many opportunities to efficiently managing educational system in the present days. The application of VR in educational sector can contribute towards to cope up with today's digitalised educational management system. To keep such objective in mind, this research study investigated the possibility to apply VR in education, especially in technical education and analysed its potential outcomes. The inherent benefits of VR in technical education are elaborated within the scope of this research study with the aim to meet the expectation of today's up-to-date student generation. A case study on the application of VR is conducted to demonstrate how the innovative technology can be employed to produce creative training and learning engineering curriculum. Overall outcomes from this case example are presented along with the various works done by the researchers and practitioners on virtual reality are reviewed and highlighted as well.
Deep skip connection and multi-deconvolution network for single image super-resolution

In this paper, we propose an efficient single image super-resolution (SR) method for multi-scale image texture recovery, based on Deep Skip Connection and Multi-Deconvolution Network. Our proposed method focuses on enhancing the expression capability of the convolutional neural network, so as to significantly improve the accuracy of the reconstructed higher-resolution texture details in images. The use of deep skip connection (DSC) can make full use of low-level information with the rich deep features. The multi-deconvolution layers (MDL) introduced can decrease the feature dimension, so this can reduce the computation required, caused by deepening the number of layers. All these features can reconstruct high-quality SR images. Experiment results show that our proposed method achieves state-of-the- art performance.
The dynamics of personal potential of students learning at the pedagogical university in the metropolis and the regional center

The main aim of this study is to assess the dynamics of students' personal qualities in the process of studying at a university from the first to the fourth year in a megacity at the Novosibirsk State Pedagogical University and its branch in the regional center of Kuibyshev.A study of the personal characteristics of female students of the 1st and the 4th courses (n=201) studying in the natural sciences and humanities was performed.The following methods were used to characterize the personal potential: Personality self-determination, Life satisfaction, Self-Organization activity, the Viability, Quality of life and satisfaction.The results indicate that there are significant differences in the dynamics of indicators of the personal potential of female students of the NSPU for the period of study, depending on the characteristics of the socio-pedagogical environment of universities in the metropolis and regional center.Students studying in metropolis have the higher level almost of all mentioned parameters of personal potential than girls studying at the regional University branch.The specificity of such differences is associated with a change in the psychosocial status of students during the period of study at the university due to the influence of both positive and negative social and environmental, economic and cultural factors.
Assessing the Efficacy of an Institutional Effectiveness Unit

Assessment UpdateVolume 32, Issue 3 p. 6-13 Articles Assessing the Efficacy of an Institutional Effectiveness Unit Marlene Clapp, Marlene ClappSearch for more papers by this author Marlene Clapp, Marlene ClappSearch for more papers by this author First published: 04 June 2020 https://doi.org/10.1002/au.30213Read 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume32, Issue3May/June 2020Pages 6-13 RelatedInformation
A study on the O2O Commerce Business Process with Business Model Canvas

Purpose: The growth of online commerce is now becoming a major threat and a new opportunity for retailers. Existing offline retailers struggle to cope...
Shared Images and Camera Fingerprinting May Lead to Privacy Issues

Social networks have become an indispensable part of everyday life by providing users with different types of interaction. However, sharing different types of data, such as text, image, video and etc., on social networks, gives rise to user privacy concerns and risks, while the user is not aware of that. In this chapter, we show how the images shared by users can be applied to fingerprint the acquisition devices and link user profiles on social networks.
Theoretical and Methodical Foundations of Supplementary Education for Children by Means of Art in the Multicultural Region

Relevance of the research is emanating from the ethno-cultural and multicultural orientation of education, contributing to accustoming the younger generation to the culture of their people and other peoples of Russia and the world. A special role in accustoming students to the culture of different peoples is played by supplementary education, as it creates optimal conditions to ensure continuity in the transmission of cultural traditions. Therefore, this paper is meant to identify the theoretical and methodological foundations of supplementary education for children by means of art in a multicultural region. The leading approach to the study of this problem is a logical approach, which allows for a multifaceted examination of the pedagogical foundations and the scientific and methodological aids of supplementary education for children by means of art in a multicultural region. The paper outlines the goals and objectives, clarifies the principles and substantiates the content, identifies the methods, forms and technologies of supplementary education for children by means of art in a multicultural region. The developed materials have practical value for designing supplementary education in a multicultural region, as may serve as a basis for the formation and development of a multicultural personality loving their big and small Homeland, having a civic and ethnic identity, and ready for inter-ethnic and intercultural communication.
Intelligent Extensive Markup Language Parser

The purpose of this project was to simplify the process of modifying the Extensible Markup Language (XML) file elements. Having to modify multiple XML files that are used in huge database servers or websites is a huge time-consuming work. I intended to simplify the process with a program. This program was coded with C#. The focus of this project was on making it user friendly, and have the user do less job to complete the XML modification process. The XML base file was extracted from the famous Korean online computer game, Maple Story. There are multiple versions of the XML file, so I intended to make a program that transforms new XML files that are not supported by many programs to old XML, compatible with many other programs and old client versions. The project provides the algorithm and the mechanism of the program. The completion of the project indicates that many processes that cannot be done easily with just a mouse and keyboard can be done easily with just a single button in a program.
Research on Data Quality Evaluation Model for Wide-area Distributed Power Quality Monitoring System

Affected by the reliability and the communication mode of the power quality monitoring terminal and the increasing scale of the power gird, the data quality problems of the wide-area distributed power quality monitoring system have been gradually exposed. Based on the architecture of the wide-area distributed power quality monitoring system, this paper analyses the influence factors of the data quality and puts forward a data quality evaluation model. The application of the data quality evaluation can improve the reliability of analysis and decision results based on the power quality data.