Reviewerly/exHarmony huggingface dataset:
Discussion on VR Storytelling Production

In this paper, we present that Virtual Reality (VR) is a type of media that has attracted interest in storytelling and media utilization. VR was first discussed as a specific narrative medium with traditional story medium. Via this discussion, The innate difference of VR is that the role of the media users in which the narrative is communicated were active in the development of the narrative unlike that of most classical narrative media. We also discussed specific features related to VR based on the theories of traditional literary criticism, movie reviews, and plays. Through these discussions, we aruged two directions of VR storytelling production as an narrative medium, its specificity, and its expressiveness for VR producers. First, story processing and characters can be introduced as part of continuing a new narrative by altering the interaction history that appears in VR stories to user interest ratings. Second, VR interaction responds intuitively to the idea that it represents a trajectory across the story surface of all possible interactions. More specific theories and controvercials are discussed.
Sequential Design for Gaussian Process Surrogates in Noisy Level Set Estimation

Author(s): Lyu, Xiong | Advisor(s): Ludkovski, Mike | Abstract: We consider the problem of learning the level set for which a noisy black-box function exceeds a given threshold. To efficiently reconstruct the level set, we investigate Gaussian process (GP) metamodels and sequential design frameworks. Our focus is on strongly stochastic samplers, in particular with heavy-tailed simulation noise and low signal-to-noise ratio. We introduce the use of four GP-based metamodels in level set estimation that are robust to noise misspecification, and evaluate the performance of them. In conjunction with these metamodels, we develop several acquisition functions for guiding the sequential experimental designs, extending existing stepwise uncertainty reduction criteria to the stochastic contour-finding context. This also motivates our development of (approximate) updating formulas to efficiently compute such acquisition functions for the proposed metamodels. To expedite sequential design in stochastic experiments, we also develop adaptive batching designs, which are natural extensions of sequential design heuristics with the benefit of replication growing as response features are learned, inputs concentrate, and the metamodeling overhead rises. We develop four novel schemes that simultaneously or sequentially determine the sequential design inputs and the respective number of replicates. Our schemes are benchmarked by using synthetic examples and an application in quantitative finance (Bermudan option pricing).
LibGuides: TigerHow: SCTC Information and Organizations: Overview

This guide provides important information, such as library resources, tutoring and mentoring, campus safety and security, career and academic planning, financial aid, and student support services.
Quantum annealing using vacuum states as effective excited states of driven systems

Abstract Quantum annealing, which is particularly useful for combinatorial optimization, becomes more powerful by using excited states, in addition to ground states. However, such excited-state quantum annealing is prone to errors due to dissipation. Here we propose excited-state quantum annealing started with the most stable state, i.e., vacuum states. This counterintuitive approach becomes possible by using effective energy eigenstates of driven quantum systems. To demonstrate this concept, we use a network of Kerr-nonlinear parametric oscillators, where we can start excited-state quantum annealing with the vacuum state of the network by appropriately setting initial detuning frequencies for the oscillators. By numerical simulations of four oscillators, we show that the present approach can solve some hard instances whose optimal solutions cannot be obtained by standard ground-state quantum annealing because of energy-gap closing. In this approach, a nonadiabatic transition at an energy-gap closing point is rather utilized. We also show that this approach is robust against errors due to dissipation, as expected, compared to quantum annealing started with physical excited (i.e., nonvacuum) states. These results open new possibilities for quantum computation and driven quantum systems.
DSC Library: Online Communication: Online Discussion Boards

This guide is designed to provide students with guidance on the proper forms and protocols for communicating online both in college and professionally
[Advances in the application of cloud platform in diagnosis and treatment of OSA].

Obstructive sleep apnea(OSA) has been a major public health problem due to a surge in the number of patients with OSA, which can create a heavy socio-economic burden. How to effectively carry out mass screening and prevention is an important link in China's health management and chronic disease prevention.The development of cloud computing and Internet of things technology has brought new directions and new solutions.For the sake of diagnosis and treatment of disease involving multiple disciplines, cross cooperation problems, we can use the Internet of things, a cloud platform and the database as the core architecture to establish the network which contains family-primary hospitals-tertiary hospitals-specialized subject and sleep medicine laboratory.With the help of handsets, we are able to realize the effectiveness and convenience of remote cooperation and eventually form the cloud platform diagnosis and treatment system of sleep-related breathing disease based on the large sample data.
LibGuides: Using Primo, the Library catalog, to Find Books & Articles: Welcome to Primo

About the Library's tool for searching print and online collections for books, articles and more.
LibGuides: A Guide to Using EBSCO host´s Military and Government Collection: Home

Tips and guidance to searching in EBSCO host´s Military and Government Collection for Marines, Sailors, and library staff working at the Combat Center Library.
Video about talks in English for L2Maths and PC

Hello, this is a short video to tell you the instructions for your videos. Make sure the light and sound are both correct, record your video, check it out to see if it's OK and then upload it onto Umotion WITH a password. Check out on UMotion if it's OK and send me the link of the video AND the password. That's it! Bye guys, be happy :-) Regards, C. Buyse
Research Guides: LearningExpress Library: Home

Access practice tests, tutorials and ebooks for free after setting up a LearningExpress Library account.
Context-Based Quotation Recommendation

While composing a new document, anything from a news article to an email or essay, authors often utilize direct quotes from a variety of sources. Although an author may know what point they would like to make, selecting an appropriate quote for the specific context may be time-consuming and difficult. We therefore propose a novel context-aware quote recommendation system which utilizes the content an author has already written to generate a ranked list of quotable paragraphs and spans of tokens from a given source document. We approach quote recommendation as a variant of open-domain question answering and adapt the state-of-the-art BERT-based methods from open-QA to our task. We conduct experiments on a collection of speech transcripts and associated news articles, evaluating models' paragraph ranking and span prediction performances. Our experiments confirm the strong performance of BERT-based methods on this task, which outperform bag-of-words and neural ranking baselines by more than 30% relative across all ranking metrics. Qualitative analyses show the difficulty of the paragraph and span recommendation tasks and confirm the quotability of the best BERT model's predictions, even if they are not the true selected quotes from the original news articles.
Research Guides: Scholarly Communication for Librarians: Research Metrics

This guide contains information and resources shared at the Scholarly Communication Boot Camp sessions.
Identifying and/or Quantifying Risk-Relevance

Imagine if it were possible to actually measure the contribution of each risk factor to the overall magnitude of risk for any given threat scenario. For example, suppose we could design a risk meter such as the one described in Chap. 1 and plug the resulting output into an equation that could generate a meaningful risk metric for any threat scenario. Such a metric could accurately guide decisions on security risk management.
LibGuides: Mirrors and Windows: The Why and How of Selecting Diverse Books for Kids: Home

This is a guide to help educators, librarians, and parents of children to locate, evaluate, and select diverse books for their young readers.
Research Guides: Professional Development: LinkedIn Learning

A guide to locating, completing, and receiving credit for online Professional Development offered through TCC LearnCenter/Skillsoft, and LinkedIn Learning.
Open Data and FAIR Data

Presented at the Open Access Workshop, Merensky Library, University of Pretoria, Pretoria, South Africa, 29 May 2019
AI3 PREDICTION OF BREAST CANCER USING K-NEAREST NEIGHBOUR: A SUPERVISED MACHINE LEARNING ALGORITHM

Mammograms are not 100% accurate in the identifying the breast cancer. Better methods are needed to predict the breast cancer without the need of surgical biopsies. The study evaluated the prediction accuracy of breast cancer using the K-nearest neighbor (k-NN) classifier algorithm. The breast cancer dataset (containing 569 records and 32 attributes) was obtained from University of California Irvine (UCI) machine learning repository. Applying supervised machine learning technique to patient characteristics including tumor features (radius, texture, perimeter, area, smoothness, compactness, concavity, concave points, symmetry and fractal dimension), k-NEAREST NEIGHBOUR (k-NN) was used to detect whether the mass was malignant or benign. Data were segmented into a training dataset containing the first 469 observations to build the k-NN model and a testing dataset containing the remaining observations was used to simulate new patients. Normalization of the data points was applied to rescale the features to a standard range of values. The initial choice of k = 21, approximately square root of 469 patients in our training dataset was used. Alternative k-values (k = 1,5,11,15,21,27) were also tested to optimize the model performance. The analysis was conducted using “class” package of R (v3.6.2). In 100 simulations, 98% accuracy was achieved by the k-NN algorithm -- i.e., only 2 out of 100, or 2 percent of masses were incorrectly classified. Choice of k=21 seems more accurate than any other choices as it has the minimum number of incorrect identification of cancerous cells. Supervised machine learning algorithm was shown to be capable of tackling extremely complex tasks such as identification of cancerous masses with reasonable accuracy. The application of this analysis could be an important resource for early detection of cancerous tumors and their treatment.
A Summer Course on Siberian Archaeology for Foreign Students (2018, Students from the Republic of Korea)

Purpose. Teaching Siberian archaeology to foreign students has its own characteristics and requires a special approach. Not all terms and phenomena are equivalent to the language and archaeological experience of the students. Therefore, the teacher is unlikely to be able to make foreign students interested in their subject matter by simply giving lectures, since it is not always possible to achieve a full contact with the audience. The use of visual materials while conducting courses helps solve a lot of problems of teaching Siberian archaeology to foreign students. In archaeology, such a visual material is an archaeological site or an artifact. Thus, the method of “immersion” into the environment of the subject studied, which we implement as an excursion to archaeological sites while giving lectures directly at the place where the studied phenomenon can be found, is particularly popular as a way of teaching archaeology to foreigners. Results. Such a technique was implemented in 2018 by researchers of the Institute of Archaeology and Ethnography of SB RAS and Professor Kang In Uk during the summer course of teaching Siberian archaeology to history students from Kyung Hee University (Seoul, the Republic of Korea). As a part of this course, students visited mound complexes and rock art objects in the Altai Mountains and ground burial sites of the Neolithic and Bronze Age in the Baraba forest-steppe region. The course included not only a detailed examination of the sites, but also lecturing at each of them. As our experience shows, the students were most interested in the topics resembling the ancient culture of the peoples of the Korean Peninsula, such as burial mounds, rock images of female shamans, Andronovo-type objects, etc. These subjects are relevant not only for research theses, but also as topics for individual research projects. This indicates that the goal of hosting a summer course on archaeology of Siberia for Korean students was achieved: the topic arouses deep interest among the audience. Conclusion. There is no doubt that the methodology of teaching Siberian archaeology to foreign students described in the present article is not only effective, but also has great prospects in the form of various master classes and workshops, as well as in the form of direct participation of foreign students in archaeological excavations in Siberia.
5.4 Deep Learning

5.4 |00:01:54 1 AI00:06:55 2 ANN00:22:02 3 tf.keras model00:30:46 4 Regression00:40:27 5 Classification01:08:10 6 Summary
On the Conference about the Conference! Round Table “Scientific conferences as the essential means of communication: development challenges”

RETRACTED The Round Table “Scientific conferences as the essential means of communication: development challenges” took place as a part of the 22 International Conference “SCIENCE ONLINE: electronic information resources for science and education” (Spain, 26 of May - 2 of June 2019). The summary of the speeches has been prepared on the basis of the audio recording of the event. The participants of the Round Table concentrated on the main issue related to the increased amount of predatory and fake conferences within international information resources. P. Aref’yev, A. Birukou, P. Kas’yanov, O. Kirillova, A. Loktev, I. Osipov have reported on the topic of the discussion. The reports have not been subjected to the peer-review as they reflect personal opinions of the participants. The conversational style is also preserved to a certain extent.
분단소설의 문학교육적 위상과 의미 : 2015 개정 문학교과서를 중심으로

This paper aims to critically examine the aspects of post-war novels in current literature textbooks and suggest alternatives for improvement. A review of the current literature collection in textbooks revealed the following problems. First, there is a question regarding the adequacy of literature works. This question requires careful consideration in terms of the content and form of literature work. Second, an attempt to minimize the connection with war when including post-war novels can result in hindering the understanding of works. Finally, the relationship between history and literature can be misunderstood as one-sided. It is necessary to reconsider learning activities and goal setting in that they show a mutual relationship between history and literature, and they ultimately pay attention to the possibility of reflecting the reality of literature. Korean division novels, as a concept where the post-war novels and connotations are expanded, are suitable as a sanction for unification literature education as they present war as a phenomenon and as a message of overcoming it. To solve the problems of current textbooks, this paper suggests Seongmyo by Jeon Seongtae as an alternative, as it shows the possibility of overcoming the contradiction between war and division. This work, while keeping the grammar of traditional Korean division novels, shows a new narrative attempt. The distinction of this work is in its way of perceiving war and division as matters of present daily life, its effort not to make the tragic history of the past while at the same time trying to avoid a schematic ending, and its approach to understanding the division and unification from a present perspective. Given the selection criteria for textbook sanctions, in particular, Seongmyo seems to be the work that satisfies the requirements for textbook division novels. Its history of winning literature awards, excellent narrative composition and expressions, the way to induce the learners to recognize the problems of war and division on a daily level, and the consciousness of reconciliation and healing for the unification are a sufficient and important basis for the selection.
LibGuides: ENGL 11 (Vincent): Finding Books

Research Guide for ENGL 2 - Communication and Critical Thinking (Vincent). How to find books and ebooks
Deductive Parsing with an Unbounded Type Lexicon

We present a novel deductive parsing framework for categorial type logics, mo-deled as the composition of two components. The first is an attention-based neural supertagger, which assigns words dependency-decorated, contextually informed linear types. It requires no predefined type lexicon, instead utilizing the type syntax to construct types inductively, enabling the use of a richer and more precise typing environment. The type annotations produced are used by the second component, a computationally efficient hybrid system that emulates the inference process of the type logic, iteratively producing a bottom-up reconstruction of the input's derivation-proof and the associated program for compositional meaning assembly. Initial experiments yield promising results for each of the components.
LibGuides: Cloud and Networking Infrastructure Management: Dissertations

This guide is for the NCU specialization Cloud and Networking Infrastructure Management. It contains resources available in the NCU Library.
The implementation of enterprise risk management: A study of Malaysian Private Higher Educational Institution / Mariam Setapa and Norhayati Mohmad Zakwan@Zakuan

Enterprise Risk Management (ERM) is fast becoming a key concern in every sector today. Since the 1990s, ERM is a method for managers to identify threats and select the best solution to solve the threats within an organisation. This research paper wishes to develop a conceptual framework of drivers of ERM and the impact of ERM on performance among Private Higher Educational Institutions (PHEIs) in Malaysia. Data were collected from 217 PHEIs listed in the Ministry of Higher Education (MOHE) website through a survey. The respondents were top management of the PHEIs. The data were collected within six months and were analysed using SmartPLS 3.2.1 software. The analysis shows both internal factors (Chief Risk Officer, Top Management, Training and Education), and size and types of institutions were impact of ERM on performance (Management, Financial, Marketing), and external factors (Law and Regulation, Corporate Governance, External Auditor) were not impact of ERM on performance. Thus, hypotheses 1 and 2 were accepted and hypotheses 3 was rejected.
Research Guides: Watch, learn & discover: Creative Tech

Upgrade your skills and hear stories from our reference desk with these videos. There are four series to explore: Ask a Librarian, Our Online Collections, Tech Tips and Creators.
Design of a dynamic and self-adapting system, supported with artificial intelligence, machine learning and real-time intelligence for predictive cyber risk analytics.

This paper surveys deep learning algorithms, IoT cyber security and risk models, and established mathematical formulas to identify the best approach for developing a dynamic and self-adapting system for predictive cyber risk analytics supported with Artificial Intelligence and Machine Learning and real-time intelligence in edge computing. The paper presents a new mathematical approach for integrating concepts for cognition engine design, edge computing and Artificial Intelligence and Machine Learning to automate anomaly detection. This engine instigates a step change by applying Artificial Intelligence and Machine Learning embedded at the edge of IoT networks, to deliver safe and functional real-time intelligence for predictive cyber risk analytics. This will enhance capacities for risk analytics and assists in the creation of a comprehensive and systematic understanding of the opportunities and threats that arise when edge computing nodes are deployed, and when Artificial Intelligence and Machine Learning technologies are migrated to the periphery of the internet and into local IoT networks.
Social media at the workplace: The relationshipbetween techno eustress and employeeperformance at Universiti Malaysia Pahang / Nurul Aini Azhar

Social Media at the Workplace: The Relationship Between Techno Eustress andEmployee Performance at Universiti Malaysia Pahang (UMP). The purpose of thisstudy was to investigate relationship between techno eustress and employeeperformance. The final report comprises of five chapters, where the first chapterintroduction of the study. In chapter two cover literature review of the study and chapterthree covers research methodology. Thus, in chapter four covers the finding anddiscussion and chapter five covers conclusion, recommendation and suggestion forfuture research. There are three research objective and research question and followedwith two research hypothesis for this study. A total of 97 set of questionnaire weredistributed to the employees at UMP by using simple random sampling. Thequestionnaire was constructed in both Malay and English. The questionnaire consistsof three sections based on the variables of the study. Furthermore, the data gatheredfrom the questionnaire was analyzed by using the Statistical Packages for SocialScience (SPSS) Version 22.0. Then the data will be presented in form of frequency,percentage, and mean to show the relationship between techno eustress and employeeperformance. Researcher also recommend and suggests employer to encourage to usesocial media at the workplace and organization must consider social media as platformsto communicate with employees either inside or outside the organization
Research Guides: Watch, learn & discover: Our Online Collections

Upgrade your skills and hear stories from our reference desk with these videos. There are four series to explore: Ask a Librarian, Our Online Collections, Tech Tips and Creators.
Denominal adjectives in Afrikaans dataset

This dataset contain a collection of Afrikaans denominal adjectives that were extracted from the Virtual Institute for Afrikaans' corpus portal. The denominal adjectives are only those that end with either ·agtig or ·erig - two common adjective-forming affixes in Afrikaans. This dataset has been enriched by mainly morphological annotation, but also some semantic annotation.An updated version of this dataset (version 2020-10-28) is used in Denominal adjectives in Afrikaans: The cases of ·agtig and ·e·rig (2020).
LibGuides: All Databases: JoVE

A how-to of the Kettering & MeL databases JoVE Science Education is a revolutionary video library dedicated to teaching scientific fundamentals through simple easy-to-understand video demonstrations.