Reviewerly/exHarmony huggingface dataset:
Research Guides: LSC 375: Social Media Analytics (Fall 2020): Writing and Citing

This guide provides links to selected resources from among library collections and services to support students in LSC 375.
Impact of Corruption on Economic Growth : A panel data study of selected African countries

African countries have over the last few decades, experienced a thorny path towards sustained economic growth. Quite a number of researchers have opined that a major factor responsible for their st ...
Illiteracy and its Impact on the Reality of Iraqi Youth between Heritage and Contemporary

Illiteracy has spread in the last years, although it was eliminated in the 1980s.The return of illiteracy brings ignorance, illness, backwardness and regression among nations.It has taken many types, mainly alphabetical, scientific and computer illiteracy.Hence, the increasing nature of illiteracy has attracted the attention of governments and societies alike.This may touch the reality of societies starting with their youth unless those, who are in charge, will find workable solutions for the existing problems.The results of the study revealed that there is a real disaster awaiting the next generation after years of stray, and ignorance of the people in charge who are too engaged in getting their privileges to care about this problem, and they are leaving the young people to face their dark and unknown fate.Therefore, we have to participate together to get rid of this issue, or rather the disaster that is going to strike our grieving people.Islam urged on learning and reading which wa s obvious in the very first verses that were revealed upon our prophet Mohammad (Peace be upon Him).To eliminate illiteracy, we have to take many steps and give more efforts to upgrading the reality of the youth in Iraq nowadays.
Research Guides: Vanderbilt Television News Archive Tutorials : Account Creation

A how to guide for account creation, finding content, ordering news episodes or segments, creating a Media Account, and receiving content in the Media Account.
Nontrivial Lexical Convergence in a Geography-Themed Game

The present study aims to examine the prevalent notion that people entrain to the vocabulary of a dialogue system. Although previous research shows that people will replace their choice of words with simple substitutes, studies using more challenging substitutions are sparse. In this paper, we investigate whether people adapt their speech to the vocabulary of a dialogue system when the system’s suggested words are not direct synonyms. 32 participants played a geography-themed game with a remote-controlled agent and were primed by referencing strategies (rather than individual terms) introduced in follow-up questions. Our results suggest that context-appropriate substitutes support convergence and that the convergence has a lasting effect within a dialogue session if the system’s wording is more consistent with the norms of the domain than the original wording of the speaker.
Virtual Schooling, COVID-Inequalities: Building Resilience and Digital Literacies for Uncertain Futures

COVID-19's impact on the nature of schooling has brought forward a number of longer term issues that call for research, evidence-informed practice and collective response: the first, relates to unequal digital access, technological biases resulting in attainment and wellbeing gaps. A second, and interrelated issue, relates to the kinds of measures and safeguards that should be put in place to alleviate risks and share best practice about creative and digital pedagogies. The paper offers reflections and suggests a framework for developing a pragmatic list of approaches and evidence-informed practices which could potentially promote collaboration as well as wellbeing and avert inequalities.
12. Detecting and prosecuting computer crime

This chapter examines key forms of computer related crimes. Computer fraud is a topic that attracts much legal and media attention. As the name suggests, it is essentially a variant of well-established principles of this area of the law. If a perpetrator obtains funds belonging to a victim through some form of deception or manipulation, this will be considered criminal with the most significant legal issues being concerned with the question when or where an offence has occurred. The deliberate promulgation of computer viruses or malware is also generally regarded as a criminal offence although there are issues regarding the degree of intent that needs to be established to secure a conviction. Viruses are generally spread through the conduct of individuals other than those who create to program. Conduct might be characterized as negligent rather than deliberate and will generally not be criminal. Similar issues of intent and knowledge may arise in respect of other forms of conduct such as denial of service attacks.
Extraction of XML Documents using Web Data Mining

Mining that is performed on main web data is known as web structured mining. One sort of data mining is known as web structured mining. As the usage of Internet has been increased drastically, there are many web pages. All those web pages or the web data has to be mined for further usage. Data generated in webin Day life has become need of the hour importance of web mining is growing along with the massive volumes. Based on its similarity, Web data clustering in this the collection of Web documents in to clusters is possible with this organization.  So many researchers has put an eye because similar documents available for versatile applications. Many Researchers around proposed extract web contents, few times they will fail to handle dynamic data. Web content extraction algorithms are pivotal importance to extract from web sources like useful contents. Hence, proposed a new method alternate way for  web content extraction.
UVM Libraries Research Guides: Connecting to Library Resources: Home

Tips and tricks for connecting to the library's online journals and databases from anywhere in the world.
Library & Cultural Services: Our Teaching Offer: Online Resources

Provides information on teaching that the Library can deliver for your students to help them develop their skills, as well as highlighting supporting online resources.
Εργαλεία για την μέτρηση της συντακτικής ευελιξίας των ρηματικών πολυλεκτικών στην γενική γλώσσα και στην γλώσσα της λογοτεχνίας: εφαρμογή στην περίπτωση Ταχτσή

The purpose of the present research is to evaluate the effectiveness of the computing tools available to us compared to manual research to achieve the research objective. We use ILSPFocused Crawler to create online text collections based on the presence of a particular multiword expression (M.W.E).We compare the size of these collections with corresponding manually made collections, and then we create corresponding collections of texts for the 4 most highly frequent expressions in K. Tachtses' TritoStephani. We then elaborate on two of these collections with the MWE Toolkit in order to get a first idea of the issues raised by the use of this suite of tools for compiling material to study the editorial flexibility of MWE. The results we get do not allow us to draw sound conclusions but only to proceed to some cases that require more investigation.The crawler proved to be more effective at collecting human texts for the high frequency mwe (άσπροςσαντοπανί) but less effective for the lower frequency mwe used in the experiment. Regarding the Trito Stefani we see that the frequent M.W.E in the novel (έναςθeόςτοξέρeι ) has brought many results. One could say that here the language of Tachtses seems to go hand in hand with the imprint of Greek language on the World Wide Web.However the also frequent M.W.E (γίνομαιάνθρωπος) didn’t give any results.We would say that here we have an indication of how the language used in the novel differs from the language spoken.Lastly, it should be noted that the assumption that the World Wide Web gives a representative image of the spoken language is debatable.
Power of Decision Trees with Monotone Queries

In this paper we initiate study of the computational power of adaptive and non-adaptive monotone decision trees - decision trees where each query is a monotone function on the input bits. In the most general setting, the monotone decision tree height (or size) can be viewed as a measure of non-monotonicity of a given Boolean function. We also study the restriction of the model by restricting (in terms of circuit complexity) the monotone functions that can be queried at each node. This naturally leads to complexity classes of the form $${\mathsf {DT}}(\textit{mon-}\mathcal {C})$$ for any circuit complexity class $$\mathcal {C}$$ , where the height of the tree is $$\mathcal {O}(\log n)$$ , and the query functions can be computed by monotone circuits in class $$\mathcal {C}$$ . In the above context, we prove the following characterizations and bounds. En route the main results, as a tool, we study the monotone variant of the decision list model, and prove corresponding characterizations in terms of $${\mathsf {alt}}(f)$$ and also derive as a consequence that $${\mathsf {DT}}(\textit{mon-}\mathcal {C}) = {\mathsf {DL}}(\textit{mon-}\mathcal {C})$$ if $$\mathcal {C}$$ has appropriate closure properties (where $${\mathsf {DL}}(\textit{mon-}\mathcal {C})$$ is defined similar to $${\mathsf {DT}}(\textit{mon-}\mathcal {C})$$ but for decision lists).
InfoGuides: Science and Technology Policy: Get Help

This guide contains resources on STEM-related public policy including legislative and executive branch sources and a selection of the federal agencies and non-profit organizations involved in setting the U.S. science and technology agenda.
Verification and Synthesis of Information Flow Secure Hardware Designs

Author(s): Ardeshiricham, Armaiti | Advisor(s): Kastner, Ryan; Gao, Sicun | Abstract: The increasing number of hardware-based security attacks along with prevalence of embedded systems in critical applications necessitate robust methods for designing digital circuits with regards to security expectations. However, state of the art secure hardware design practices are mainly based on manual code review and security audit which do not provide formal guarantees of security despite being time-consuming and cumbersome. Thus, a systematic approach for identifying and fixing security vulnerabilities in hardware designs is required.Information flow analysis presents a coherent and systematic method for evaluation of broad types of security policies. Information flow models capture how security-critical data propagates through a system by augmenting the design with security labels. Therefore, evaluating the security labels of the critical components could substitute manual inspection of the design for information leakage. Such analysis accelerates, automates, and formalizes assessment of information flow security properties. This dissertation shows how various security policies such as confidentiality, integrity and timing side-channel can be formalized utilizing information flow tracking (IFT) in hardware designs.Following this formalization, this thesis presents four practical tools -- RTLIFT and Clepsydra for verification of timing-sensitive information flow properties, VeriSketch for synthesis and enforcement of timing-sensitive information flow properties, and lastly an error localization framework for automated inspection of verification failures. Leveraging advances in formal methods and commercial EDA software, the presented tools augment the traditional hardware design cycle with sound and automated security analysis.
Adaptive WGAN with loss change rate balancing.

Optimizing the discriminator in Generative Adversarial Networks (GANs) to completion in the inner training loop is computationally prohibitive, and on finite datasets would result in overfitting. To address this, a common update strategy is to alternate between k optimization steps for the discriminator D and one optimization step for the generator G. This strategy is repeated in various GAN algorithms where k is selected empirically. In this paper, we show that this update strategy is not optimal in terms of accuracy and convergence speed, and propose a new update strategy for Wasserstein GANs (WGAN) and other GANs using the WGAN loss(e.g. WGAN-GP, Deblur GAN, and Super-resolution GAN). The proposed update strategy is based on a loss change ratio comparison of G and D. We demonstrate that the proposed strategy improves both convergence speed and accuracy.
Travel Plan Recommendation Based on Review Analysis and Preference Diagnosis

When making a travel plan, we often use travel sites. However, there is a problem that it is difficult to decide a travel destination because the amount of information including users’ reviews is too large. Also, usually, travel information is separately registered for each destination (e.g. sightseeing place), which is difficult to use for those who have not yet decided the destination they want to go to. Therefore, the authors set a research goal to make it possible to choose a travel destination without having to browse a lot of travel information when making a travel plan, and developed a web service for recommending travel plans, called Tabi-gator (Travel navigator in English). Tabi-gator automatically creates several questions to diagnose user preferences with machine-learning technology, and then recommends a travel plan that is suitable for the user’s preference.
Relevance and Time Based Collaborative Filtering for Recommendation

In our daily life, many recommendation systems are designed based on collaborative filtering algorithm. For example, video recommendations, shopping recommendations, music recommendations, and so on. However, the traditional collaborative filtering algorithm has problems such as low recommendation accuracy and poor real-time performance. In this paper, an enhanced collaborative filtering algorithm considering the relevance factor and time factor is proposed to improve the accuracy and timeliness of recommendations. Meantime, the average absolute error is utilized as an indicator to measure the recommended effect. Simulations are given to prove the effeteness of the proposed algorithm.
LibGuides: YA Reader's Advisory Basics: Find the perfect book

It can be daunting to try and pair teen readers with their next book. These can resources can help make that perfect match! These are great resources to find what your teen customer is looking for.
Deep Learning Models for Planetary Seismicity Detection

Research in planetary seismology is fundamentally constrained by a lack of data. Seismo-logical science products of future missions can typically only be informed by theoretical signal/noise characteristics of the environment or likely Earth-analogues. Although objectives can be re-assessed after some initial data-collection upon lander arrival, transfer of high-resolution data back to Earth is costly on lander power usage. Over the last several years, development of GPU computing techniques and open-source high-level APIs have led to rapid advances in deep learning within the fields of computer vision, natural language processing, and collaborative filtering. These techniques are actively being adapted in seismology for a variety of tasks, including: earthquake detection, seismic phase discrimination, and ground-motion prediction. Until the recent detection of mars quakes during the Mars InSight mission, the only other measurements of seismicity recorded outside of Earth was on the Moon during the Apollo missions between 1969 to 1977. These unique data sets have been periodically revisited using new seismological methods, including ambient noise interferometry and Hidden Markov Models. Our objective is to develop a deep learning seismic detector and use it to catalog moonquakes from the Apollo 17 Lunar Seismic Profiling Experiment (LSPE) and compare the results with those obtained by other methods. Additionally, we will assess the accuracy tradeoff between using a training set of lunar data and one composed of Earth seismicity. In this document, we present preliminary results using a prototype classifier trained on a small set of earthquakes that was able to obtain detections for LSPE moonquakes with a greater accuracy than a recent study using Hidden Markov Models.
Research Guides: Common Reader 2021-2022: Tale of Two Americas: COVID-19 Pandemic

This guide showcases the selected texts for the Common Reader collection in the 2020-2021 academic year. Additionally included are teaching resources and updates to activities related to the 2020-2021 Common Reader Program.
LibGuides: Humanities and Arts Management: Online Resources

Useful links, resources and research assistance for all Humanities and Arts Management programmes at IADT
DECISIVE RULE EXPERIMENTAL STUDIES TO DETECT OBJECTS ON THE BACKGROUND OF THE EARTH SURFACE USING POLARIZATION DIFFERENCES OF RADAR SIGNALS

The task of stationary and moving object detection against the background of the underlying surface (earth) by radar means becomes relevant. A decision rule is being developed to detect objects against the background of the earth surface using the polarization differences reflected from the earth and the objects of radar signals, represented as a measurement vector. Methods: They carry out the experimental studies of the decision function using the data of a full-scale experiment with radar sensing of a piece of land with various objects on it. They provide the numerical values of the information sign obtained estimates used in the decision rules and decision making quality indicators. Results: Experimental studies have shown that the developed decision rule allows detecting inhomogeneities (objects) on the earth surface with a correct detection probability of 0.95%, with the first-type probability of 10-4.Â  Conclusion: The experimental studies, using field data, confirm the high quality indicators of the developed decision rule.
Walk Through a Virtual Museum with Binocular Stereo Effect and Spherical Panorama Views Based on Image Rendering Carried by Tracked Robot

In order to provide users with a virtual tour which have walk through and binocular stereoscopic experience, the authors propose a method to use the tracked robot carrying a single panoramic camera. Panorama photos of continuous movement are taken by the tracked robot so that the audience can wander freely in the virtual museum. Panoramic photos are captured at the distance calculated according to requirements of stereo vision comfort. The recorded photos are used to make binocular panoramic video. Two adjacent panoramic images are used as stereoscopic pairs so as to realize comfortable stereoscopic vision. Because only one camera is used, not only the amount of data is reduced, but also the occlusion issue is avoided. Videos can be shot at different distances according to the rules of visual comfort so that the users can enlarge the picture and choose an appropriate spacing.
Student involvement in sound and music research: Current practices at KTH and KMH

This paper collects experiences of involving students in research from the senior teachers of the Sound and Music Computing group at KTH, including four team members who have taught at KMH for many ...
Math and Physics Tools for Quality Quantum Programming

We are in presence of a quantum computing revolution that will be critical for the dominant global position of nations in near future. Some quantum lab devices have been developed and important milestones have been reached, mainly in the branch of communications. In this scenario, it is urgent to educate people in quantum computing and technology, like it happens with disciplines such as science, technology, engineering, and mathematics promoted by government in order to instruct science-aware citizens. A solid knowledge base in math and physics is essential for a workforce able to develop high quality quantum technology. This work addresses the necessity of quantum literacy for the creation of a new workforce, proposing the basic math tools, and physics background for entering into the field of quantum programming. It also addresses a certification about Science Foundation for Quantum Programming, as a means for assuring the quality of quantum software professionals.
Financial Innovation and Economic Growth in Nigeria a Sectoral Analysis

This study examined the effect of financial innovation on different components of real output of some selected sectors of Nigerian economy between 1990 to 2018 using panel vector Error Correction as estimation technique.Data for the study were sourced from Central Bank of Nigeria statistical Bulletin and Bureau of Statistics.Results obtained from our various estimations showed that there is long-run co-movement between sectoral real output and financial innovation variables.Result from VAR revealed that sectoral output responded heterogeneously to shocks emanating from financial innovation.Take for instance, the responses of manufacturing and Agricultural sectors to shocks from financial innovation variables were positive and significance while responses of service and construction sectors were positive but insignificant.Results obtained from variance decomposition showed that the most essential financial innovation variables which have much influenced on sectoral output in Nigeria during the study period are Automated teller machine ATM) and point of sale transaction (POS).Based on these findings, the study therefore, concludes that financial innovation has effects but not a significant effect on sectoral real output in Nigeria.The study recommends that more regulatory guide-lines should be formulated for financial institutions to perform their financial intermediation functions effectively.
Evaluation of New Features for Extractive Summarization of Meeting Transcripts : Improvement of meeting summarization based on functional segmentation, introducing topic model, named entities and domain specific frequency measure

Automatic summarization of meeting transcripts has been widely stud­ied in last two decades, achieving continuous improvements in terms of the standard summarization metric (ROUGE). A user study ha ...
QRev: Machine Translation of User Reviews: What Influences the Translation Quality?

This project aims to identify the important aspects of translation quality of user reviews which will represent a starting point for developing better automatic MT metrics and challenge test sets, and will be also helpful for developing MT systems for this genre. We work on two types of reviews: Amazon products and IMDb movies, written in English and translated into two closely related target languages, Croatian and Serbian.
Do You Trust Me, Premier? COVID-19 Pandemics in the Netherlands and Lithuania a Remote Discussion on Trust in the Context of COVID-19

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