Reviewerly/exHarmony huggingface dataset:
Immersive VR and Embodied Learning: The Role of Embodied Affordances in The Long-term Retention of Semantic Knowledge

The design of immersive VR experiences (iVR) can be explored from several perspectives including but not limited to technical aspects necessary for the creation of the VR content, and the cognitively motivated design principles that are critical for creating user-friendly and efficient immersive experiences. To support learning and education through iVR, the later is crucial as effective learning cannot occur without a clear understanding of how human cognition and memory work, and how immersive experiences affect memory and cognition. As such, the embodied design of iVR, that adequately translates the knowledge of human cognition and memory into interaction mechanics, plays an important role in enhancing embodied immersive experiences in education and learning performances. The proposed research will investigate the role of two embodied affordances in enhancing embodied learning in iVR, specifically in terms of long-term retention of semantic knowledge: (1) Embodied Relative Reference Frame, and (2) Bodily Engagement.
Dark Vendor Profilng

Tor hidden services and anonymity tools alike provide an avenue for cyber criminals to conduct illegal activities online without fear of consequences. In particular, dark marketplaces are hidden services that enable the trade of paraphernalia such as drugs, weapons, malware, counterfeit identities, and pornography among other items of criminal nature. Several effective Dark Web analysis techniques have been proposed for Dark Web Forums and primarily focus on authorship analysis where the goal is one of two tasks: (a) user attribution, where a user is profiled and identified given an artifact they own, and (b) alias attribution, where pairs of users are identified to belong to the same individual. While these techniques may support dark web investigations and help to identify and locate perpetrators, existing automated techniques are predominately forum-based and stylometry-based, leaving non-textual artifacts, such as images, out of consideration due to the illicit nature of dark marketplace listings. Thus, new methodologies for adequate evidence collection and image handling in dark marketplaces are in demand. In this research, we collect stylometric, image, and attribute-based artifacts from 25 dark marketplaces and propose a machine learning based Dark Vendor Profiling methodology to achieve vendor attribution and alias attribution across dark marketplaces, thereby supporting investigative efforts in deanonymizing cyber criminals acting on the anonymous web.
Truncated Self-Product Measures in Edge-Exchangeable Networks

Edge-exchangeable probabilistic network models generate edges as an i.i.d. sequence from a discrete measure, providing a simple means for statistical inference of latent network properties. The measure is often constructed using the self-product of a realization from a Bayesian nonparametric (BNP) discrete prior; but unlike in standard BNP models, the self-product measure prior is not conjugate the likelihood, hindering the development of exact inference algorithms. Approximate inference via finite truncation of the discrete measure is a straightforward alternative, but incurs an unknown approximation error. In this paper, we develop theoretical bounds on the error of finite truncation in random self-product-measure-based models. We apply the theory to edge-exchangeable networks, demonstrating that the truncation error for dense graphs decreases geometrically with the truncation level, but that the truncation error for sparse graphs decreases much more slowly. This implies that high truncation levels---and corresponding high computational cost---are needed to handle sparse graphs in practice. Simulations of commonly used edge exchangeable graph models confirm the theoretical results in both sparse and dense settings.
개정 한국어 교육과정(KSL)에 대한 비판적 고찰 - 호주 EAL/D 교육과정의 듣기와 말하기 성취 기준과의 비교를 중심으로 -

This study reviewed the Australian EAL/D curriculum to critically examine the contents of the revised Korean as a Second Language(KSL) curriculum. First, through a review of related studies of the KSL curriculum, the need for research on achievement standards was confirmed. The EAL/D curriculum was divided among the characteristics of EAL/D learners and the composition and characteristics of curriculum contents. The overall contents of the KSL and EAL/D curricula were compared, and achievement standards in listening and speaking areas at the beginning stages were compared and discussed. As a result, it was found that both the KSL and EAL/D curricula attempted to link the learners’ target language proficiency level and achievement level. In addition, in the case of the EAL/D curriculum, it was found that a number of achievement standards related to non-verbal elements, imitation learning, and cultural variables were presented. This suggests that, in addition to linguistic elements, non-verbal, learner, social, and cultural factors are important in language education for learning the target language, and these factors should be reflected in KSL curriculum achievement standards.
La crédibilité des politiques monétaires affecte-t-elle la croissance économique en Afrique subsaharienne? [Does the credibility of monetary policies affect economic growth in Sub-Saharan Africa?]

This study proposes to highlight the effect of greater Monetary Policy Credibility (CPM) on economic growth in Sub-Saharan Africa (SSA) during the period 1980-2017. The econometric approach based on dynamic panel data is mainly used for our estimates. The main results show a limited and insignificant effect of the credibility indicator on economic activity, mainly due to the ineffectiveness of the monetary policy transmission channels. This contradiction has led us to recommend for our part the promotion of a monetary policy oriented towards improving economic growth in Sub-Saharan Africa, but without however prejudicing the constraint of price stability.
NVU Libraries Research Guides: Sciences: Home

This guide provides materials for various types of sciences--biology, chemistry, earth science, math, and more.
European Copyright Licensing and Infringement Liability Under Art. 17 DSM-Directive Compared to Secondary Liability of Content Platforms in the U.S. – Can We Make the New European System a Global Opportunity Instead of a Local Challenge?

In this article, first, the dogmatic structure of Art. 17 DSM-Directive is analyzed in the overall context of EU law. It is shown that Art. 17 fits reasonably well into the system of EU fundamental rights, copyright law and provider safe harbors. On that basis, the entire Art. 17 licensing and liability structure is outlined and explained in detail thereby addressing many important concrete problems for implementation in the Member States. Secondly, the article shows that in order to make Art. 17 work in an effective and proportionate way, fairly balancing the interests of large rightholders and OCSPs with the interests of individual authors and small rightholders as well as OCSP users, collective blanket licenses including extended collective licensing (ECL) mechanisms will be needed on the European market for as many content categories and uses as possible. For the particularly problematic cases of ‘small-scale’ content and user-generated content, thirdly, the study proposes a system of effective and proportionate dynamic complementary coupling of algorithmic tools and human agents in copyright enforcement. In order to develop a realistic, workable proposal, the study draws on a comprehensive analysis of the underlying problems including comparative aspects in regard to U.S. and German law and practice of technological copyright enforcement. The basic idea is the following: Certain trusted users shall be able to flag content which from their point of view is covered by existing exceptions to copyright thereby paving the way to delayed takedown if their claim turns out to be plausible under a quantitative algorithmic check. This basic idea is complemented in this paper with a new category of trusted rightholders and ultimately developed into a dynamic, self-regulating system of process oriented complementary coupling of algorithmic tools and human agents.The article does already include references to the German Discussion Proposal for the implementation of Art. 17 and discusses certain elements of the Proposal.
LibGuides: JSU Digital Commons | Guide for Faculty: Overview

This guide provides detailed information for faculty on how to upload their scholarship to the repository, manage their accounts, and search JSU Digital Commons.
Mining Public Opinion on Twitter about Natural Disaster Response Using Machine Learning Techniques.

With the development of the Internet, social media has become an essential channel for posting disaster-related information. Analyzing attitudes hidden in these texts, known as sentiment analysis, is crucial for the government or relief agencies to improve disaster response efficiency, but it has not received sufficient attention. This paper aims to fill this gap by focusing on investigating public attitudes towards disaster response and analyzing targeted relief supplies during disaster relief. The research comprises four steps. First, this paper implements Python in grasping Twitter data, and then, we assess public perceptron quantitatively by these opinioned texts, which contain information like the demand for targeted relief supplies, satisfactions of disaster response and fear of the public. A natural disaster dataset with sentiment labels is created, which contains 49,816 Twitter data about natural disasters in the United States. Second, this paper proposes eight machine learning models for sentiment prediction, which are the most popular models used in classification problems. Third, the comparison of these models is conducted via various metrics, and this paper also discusses the optimization method of these models from the perspective of model parameters and input data structures. Finally, a set of real-world instances are studied from the perspective of analyzing changes of public opinion during different natural disasters and understanding the relationship between the same hazard and time series. Results in this paper demonstrate the feasibility and validation of the proposed research approach and provide relief agencies with insights into better disaster response.
NLP Disaster Tweets Classification

In this research, we use natural language processing to predict whether or not text is referring to a natural disaster. Using the Kaggle competition data, consisting of 10,000 labeled Tweets, we apply machine learning models to determine which Tweets are about real disasters and which ones are not. We first perform some exploratory data analysis, visualizing the dataset, and then text preprocessing to remove irrelevant characters. We discover that most disasters are related to natural disasters and criminal activity, while non-disasters, focus on slang and YouTube videos. We implement five machine learning models: Naive Bayes, Support Vector Machines, Random Forest, a Neural Network, and an Ensemble Learner. Naive Bayes and the Ensemble Learner appear to have slightly more success than the other models as the accuracy for these is about 80%. Finally, we tune the model parameters so as to increase the performance of our predictions.
Watching the Watchers: Nonce-based Inverse Surveillance to Remotely Detect Monitoring

Internet users and service providers do not often know when traffic is being watched but desire a way to determine when, where, and by whom. We present NOISE, the Nonce Observatory for Inverse Surveillance of Eavesdroppers, a method and system that detects monitoring by disseminating nonces - unique, pseudorandom values - in traffic and seeing if they are acted upon unexpectedly, indicating that the nonce-laden traffic is being monitored. Specifically, we embed 64-bit nonces innocuously into IPv6 addresses and disseminate these nonces Internet-wide using a modified traceroute-like tool that makes each outbound probe's source address unique. We continually monitor for subsequent nonce propagation, i.e., activity or interest involving these nonces, e.g., via packet capture on our system's infrastructure. Across three experiments and four months, NOISE detects monitoring more than 200k times, ostensibly in 268 networks, for probes destined for 437 networks. Our results reveal: (a) data collection for security incident handling, (b) traffic information being shared with third parties, and (c) eavesdropping in or near a large commercial peering exchange.
LibGuides: Library Information for Remote Study: Article and Book Delivery

Also know as 'Interlibrary Loan' and 'Document Delivery' the Library can provide materials available from other libraries.
Didaktisko spēļu izmantošana latviešu valodas gramatikas mācības pirmajos posmos

This article underlines the importance of learning grammatical rules of the Latvian language for Latvian as a second or foreign language. In fact, grammar is one of the four components of communicative competence: linguistic, sociolinguistic, discourse, and strategic competence. Aside from rules and tables, there are more effective and engaging ways to teach and learn grammar. One of them is through educational games. When language learners can apply grammar and use it in a fun way, there is a better chance that they will retain it all. They will be able to practice and internalize grammar phenomena extensively rather than just learning a collection of rules superficially. Not all games can be considered educational. It is important to recognize the purpose of a grammar game. The authors propose to consider several principles that can foster effective learning and improve student outcomes when teaching Latvian grammar to non-native speakers (both language minorities as well as foreigners): - consider the influence of students’ mother tongue, - offer wide selection of contemporary spoken grammar and vocabulary, - teach phases instead or separate words, - consider different learning styles to aid student learning (Auditory, Visual, and Kinesthetic Learning Styles), - utilize (or adopt) speech therapy methods. The authors present educational games for teaching such Latvian grammar phenomena as noun-adjective agreement, verb conjugation, use of prepositions, forming the comparative degree of adjectives, and more. Grammar games for learning English do not only motivate, they also promote the idea of competition, thus increasing learner attention, memory, as well as speaking, listening and cooperation skills. Games are beneficial for any age groups. They can be used with young learners who study Latvian as their first language, as well as Latvian as a second or foreign language students learning Latvian in preschools, schools and other educational institutions. The process of language acquisition starts in the first year of a child’s life and, in some cases, continues through their lifetime. The first language or native language, also known as a mother tongue, is the language children learn first from their parents. In the modern world, it is common that a person’s first language differs from the official language of their homeland. Under the circumstances, children must acquire two languages in the very first years of their lives. The representatives of ethnic minorities in Latvia study Latvian as a second language. This means that Latvian is not their first language; it is the official language of the state, the compulsory language to study. Latvian as a second language is being taught in minority-language schools across Latvia. It was traditionally believed that there is a prominent difference between second language acquisition and foreign language learning process. Therefore, different teaching principles and methods are applied. But in recent years, these fields have come closer together.
Discussion on the reform mode of physical education of “combination of physical education and medicine”

This paper will first introduce the main advantages and concepts of the practice of combining physical medicine, then from several aspects of the practice of combining physical medicine in the movement of shortcomings, finally to help the relevant universities to promote the work, the author put forward some practical Suggestions.
A Secure Key Authentication Scheme Based on the Hardness of Solving Elliptic Curve Discrete Logarithm Problem

A key authentication scheme is a scheme that protects a user's public key from modification and counterfeiting by an adversary.The new development and improvement of key authentication schemes should be made continuously so that the systems are safe and practical to be used.To the best of our knowledge, there is no key authentication using the elliptic curve so far.Thus, in this paper, we propose the first secure elliptic curvebased key authentication scheme with its security, relying on the difficulty of solving the elliptic curve discrete logarithm problem.We show that the proposed scheme is secure against various defined cryptographic attacks such as public keyword modification and keyword guessing attacks.Next, we analyze the computational time complexity of the algorithms by computing the number of modular operations needed in these algorithms together with asymptotical analysis of running time using O(g(n)) notation.It turns out that our scheme requires the least amount of time complexity of 203.36Tmul + Th for user registration phase, 58.12Tmul for key authentication phase, and offers less running time compared to some existing key authentication schemes.
Legendre Wavelet expansion of functions and their Approximations

In this paper , nine new Legendre wavelet estimators of functions having bounded third and fourth derivatives have been obtained.These estimators are new and best approximation in wavelet analysis. Legendre wavelet estimator of a function f of bounded higher order derivatives is better and sharper than the estimator of a function f of bounded less order derivative.
Affordances and Behavioral Outcomes of Wearable Activity Trackers

Wearable Activity Trackers (WATs) are often ascribed the ability to reduce health risks by promoting physical activity and healthful eating habits. However, research has shown that their use does not always lead to behavior changes. Using the affordance lens, this study investigates how WATs’ material features facilitate behavioral outcomes, as users interpret WATs in light of their personal health-related goals. Using narrative interviews with twenty-five WAT users, we found two catego-ries of affordances—learning affordances and behavior-focused affordances—leading to three behavioral outcomes: behavior change, compliance change, and remaining with the status quo. Moreover, we identified four types of users (based on their goal configurations) that actualized different affordances and showed different behavioral outcomes. While some types of users fundamentally changed their daily routines as a result of using WATs, others simply complied with technology cues or did not change their behavior at all. Our results have several implications for re-search on WATs and WATs’ design.
LibGuides: Zoom: Updates from Zoom

This guide shows you how to use Zoom, with a focus on Zoom for classroom use by instructors. This page contains information about updates to the Zoom platform.
An Exploratory Study on the Export Support System of Small and Medium-sized Enterprises in Jeju Island

For development of state economy and invigoration of domestic market, it is necessary to expand small and medium-sized enterprises abroad and encourage their growth. In that sense, this study compared Korea's export support system and export support systems of other countries to promote invigoration of exports by SMEs in Jeju Island. The purpose is proposing implications and system ideas. The export support system of Jeju Island needs to make the following improvements. First, it is necessary to make an improvement in the manner of organizing a virtuous cycle of "plan, discovery, support, evaluation, and plan". Second, it is necessary to use retired experts in the field of trade. Third, it is necessary to invigorate exports by utilizing professional trading company. Fourth, it is necessary to organize a trade cluster through which schools, enterprises, governmental organizations, and so on can conduct joint researches and projects. Fifth, it is necessary to invigorate processing trade since primary products have limitations in terms of space and distance. The limitation of this study is that it suggested implications only based on literature review and not collect opinions or conduct surveys targeting SMEs. Follow-up study will supplement such a limitation.
주요 선진국의 지속가능발전교육 체계와 프로그램 분석: 핀란드, 스웨덴, 독일, 캐나다를 중심으로

The purpose of this article is to analyze the historical context, characteristics, and some programs of ESD systems in 4 advanced countries including Finland, Sweden, Germany, and Canada, and is to get some implications to contribute to expansion of consciousness and setting up basis for implementing of SDGs. The ESD programs for SDGs can be designed as education about sustainable development and education for sustainable development, and have to be enacted in the holistic context. Especially they have to see other 16 goals in viewpoint of 4th goals of SDGs. ESD has to pursue understanding of sustainable development, the importance of establishing SDGs and the process, and evaluation as well as implementing. For this, it requires the linkages among actors such as local governments, local sustainability alliance, and local universities.
LibGuides: Children's Literature: Books

This Library Guide will help students find the resources they need as they research children's literature.
영국의 공공도서관 정책과 공간계획 지향점 분석에 의한 공간 디자인 방법에 관한 연구

Today, Korea’s public library faces various problems, and the UK public library has sought ways to respond to these problems. The purpose of this study is to analyze and consider the policies, strategies, and directions that are corresponded to the aspects of the operation and spatial design of UK public libraries. Therefore, this study is meaningful at the point of exploring spatial planning countermeasures to solve Korea’s public library challenges.To this end, Chapter 2 presents the public library’s role and aim by researching and analyzing the UK government’s public library policy report in 2013-17. In chapter 3, the public library’s role and aim presented in chapter 2 and the relationship between the design principles of ‘21st-century library design’, ‘accessibility’, ‘connectivity’ and ‘flexibility’, are derived in the direction of spatial planning. The results are summarized as follows. ‘Accessibility’: 1) emphasizing the concept of place to open and connect shared spaces, 2) diversifying approach to provide specialized services for local communities, 3) realizing user-friendly spaces to provide casual and enjoyable experience services. ‘Connectivity’: 1) provides a function in the middle area for the Utilization of Shared Space, 2) provides a vertically open space for direct spatial information perception, 3) provides a digital device and face-to-face service space to provide user-customized information. ‘Flexibility’: 1) zoning space by age group and division for space corresponding to the user’s purpose, 2) future-oriented space applying digital technology, flexible to time-based behavior for Flexible Activity Programs. The design method of the UK public library space plan reflecting the policy can be used as the basic data to show the direction for Korea’s public library space plan.