Reviewerly/exHarmony huggingface dataset:
Investigating Students’ Need in Developing Integrated Model of Intensive and Extensive Reading Instruction at English Education Study Program of Islamic State Institute of Bukittinggi

Investigating the need of the students and lecturers is a part of series of reseach and development which attempted to integrate Intensive and Extensive Reading in teaching Reading at English Education Study Program. This study was aimed at identifying the need of the students and lecturers in the process of teaching Reading. It focussed on problems, priorities, ability, attitude and solution as the categories of information used in need analysis. The result of need analysis were later used for task analysis, concept analysis and specifying intsructional objectives for a reading lesson. A descriptive quantitative method was employed to meet the reacearch objective. A questionare was used to collect data on students need. It involved 67 students. The research finding indicated that students have problems related to limited amount of vocabulary, limited time allocated for reading, text difficulty level, low language ability and inadequate reading strategies. Students priorities in Reading class is reading strategies on how to understand word, sentences and paragraph. Students ability and attitude towards reading indicated that they have low reading abilities, they like reading, they believe that “reading a lot” will improve their reading ability and finally, most of the students didn’t do reading activities independently.
심리적 임파워먼트가 물리치료사의 행동에 미치는 역할

Purposes: Despite a lot of prior studies on psychological empowerment on positive outcomes, the objectives of this paper were to examine the role of psychological empowerment on informal learning and the mediation role of informal learning between psychological empowerment and outcome variables focused upon physical therapists working in hospital industry.Methodology: Using survey methods, the data were collected from 198 physical therapists who have worked in Ulsan city and attended in annual meeting.Findings: Results showed that psychological empowerment predicted informal learning positively but differences in mediational mechanism. Specifically, the path between psychological empowerment and proactive behavior partially mediated but no mediating effect between psychological empowerment and helping behavior. This study identified the main role of psychological empowerment on informal learning, and it expands on positive functions of the concept to learning area in organizations. The other results help advanced understanding of differential mechanism through informal learning in the process between psychological empowerment and both outcomes.Practical Implications: The current study contributes to expend the area of prior findings on psychological empowerment to learning activities implemented by individual volunteer effort. For hospitals operating the teams of physical therapy, the significance for considering psychological empowerment is highlighted as for individual growth related to job and for change behavior in the individual level.
Deep Neural Networks and Phase Reweighting

Having pointed out the limitations of approximate simulation methods for quantum spin-1/2 systems on classical computers, we are motivated to study whether other computing devices going beyond the von-Neumann architecture are more suitable for these tasks. One such device is the neuromorphic hardware present in the BrainScaleS group at Heidelberg University, which we introduced in Sect. 3.5 . This hardware can efficiently produce samples from Boltzmann distributions underlying the visible and hidden variables in (restricted) Boltzmann machines [1–4]. Furthermore, we have introduced the parametrization of quantum spin-1/2 state vectors via complex-valued restricted Boltzmann machines in Sect. 5.1 . There states are sampled from the represented probability distribution to approximate expectation values of quantum operators.
LibGuides: Current Library Services: Home

Find out what services are currently available from the Library and how they are being delivered.
An investigation of the predictability of the Brazilian three-modal hand-based behavioural biometric: a feature selection and feature-fusion approach

Abstract New security systems, methods or techniques need to have their performance evaluated in conditions that closely resemble a real-life situation. The effectiveness with which individual identity can be predicted in different scenarios can benefit from seeking a broad base of identity evidence. Many approaches to the implementation of biometric-based identification systems are possible, and different configurations are likely to generate significantly different operational characteristics. The choice of implementational structure is, therefore, very dependent on the performance criteria, which is most important in any particular task scenario. The issue of improving performance can be addressed in many ways, but system configurations based on integrating different information sources are widely adopted in order to achieve this. Thus, understanding how each data information can influence performance is very important. The use of similar modalities may imply that we can use the same features. However, there is no indication that very similar (such as keyboard and touch keystroke dynamics, for example) basic biometrics will perform well using the same set of features. In this paper, we will evaluate the merits of using a three-modal hand-based biometric database for user prediction focusing on feature selection as the main investigation point. To the best of our knowledge, this is the first thought-out analysis of a database with three modalities that were collected from the same users, containing keyboard keystroke, touch keystroke and handwritten signature. First, we will investigate how the keystroke modalities perform, and then, we will add the signature in order to understand if there is any improvement in the results. We have used a wide range of techniques for feature selection that includes filters and wrappers (genetic algorithms), and we have validated our findings using a clustering technique.
Linear Time LexDFS on Chordal Graphs.

Lexicographic Depth First Search (LexDFS) is a special variant of a Depth First Search (DFS), which was introduced by Corneil and Krueger in 2008. While this search has been used in various applications, in contrast to other graph searches, no general linear time implementation is known to date. In 2014, Kohler and Mouatadid achieved linear running time to compute some special LexDFS orders for cocomparability graphs. In this paper, we present a linear time implementation of LexDFS for chordal graphs. Our algorithm is able to find any LexDFS order for this graph class. To the best of our knowledge this is the first unrestricted linear time implementation of LexDFS on a non-trivial graph class. In the algorithm we use a search tree computed by Lexicographic Breadth First Search (LexBFS).
The Number of Repetitions in 2D-Strings.

The notions of periodicity and repetitions in strings, and hence these of runs and squares, naturally extend to two-dimensional strings. We consider two types of repetitions in 2D-strings: 2D-runs and quartics (quartics are a 2D-version of squares in standard strings). Amir et al. introduced 2D-runs, showed that there are $O(n^3)$ of them in an $n \times n$ 2D-string and presented a simple construction giving a lower bound of $\Omega(n^2)$ for their number (TCS 2020). We make a significant step towards closing the gap between these bounds by showing that the number of 2D-runs in an $n \times n$ 2D-string is $O(n^2 \log^2 n)$. In particular, our bound implies that the $O(n^2\log n + \textsf{output})$ run-time of the algorithm of Amir et al. for computing 2D-runs is also $O(n^2 \log^2 n)$. We expect this result to allow for exploiting 2D-runs algorithmically in the area of 2D pattern matching. A quartic is a 2D-string composed of $2 \times 2$ identical blocks (2D-strings) that was introduced by Apostolico and Brimkov (TCS 2000), where by quartics they meant only primitively rooted quartics, i.e. built of a primitive block. Here our notion of quartics is more general and analogous to that of squares in 1D-strings. Apostolico and Brimkov showed that there are $O(n^2 \log^2 n)$ occurrences of primitively rooted quartics in an $n \times n$ 2D-string and that this bound is attainable. Consequently the number of distinct primitively rooted quartics is $O(n^2 \log^2 n)$. Here, we prove that the number of distinct general quartics is also $O(n^2 \log^2 n)$. This extends the rich combinatorial study of the number of distinct squares in a 1D-string, that was initiated by Fraenkel and Simpson (J. Comb. Theory A 1998), to two dimensions. Finally, we show some algorithmic applications of 2D-runs. (Abstract shortened due to arXiv requirements.)
Mineralogy and Petrography of Fatha gypsum rocks in Zurbatiyah area, eastern Iraq

Gypsum rocks of Fatha Formation in Zurbatiyah area, eastern Iraq were studied in terms of mineralogy and petrography. Mineralogically, X-ray difractometry results reveal that gypsum rocks are predominantly composed of gypsum minerals with minor amounts of calcite, anhydrite, bassanite and dolomite minerals. Scanning electron microscopy has shown that gypsum rocks rich inclusion with (Mg) in some samples. Fatha gypsum rocks have higher thickness in the succession of formation with marl, clay and limestone forming multi cyclic deposition. The thickness of Fatha formation in the studied area reach to 525 m. Petrographical and textural analyses reveal the common petrographical texture types of gypsum, alabastrine, satinspar, selenite, porphyroblastic, blocky, and columnar gypsum texture reflect evolutionary alterations relationships such as crystallization and recrystallization of gypsum rocks. The secondary hydration of anhydrite to gypsum and other alteration changes refer to shallow marine, supra-tidal and continental environments to the Fatha Formation.
DatashareNetwork: A Decentralized Privacy-Preserving Search Engine for Investigative Journalists.

Investigative journalists collect large numbers of digital documents during their investigations. These documents can greatly benefit other journalists' work. However, many of these documents contain sensitive information. Hence, possessing such documents can endanger reporters, their stories, and their sources. Consequently, many documents are used only for single, local, investigations. We present DatashareNetwork, a decentralized and privacy-preserving search system that enables journalists worldwide to find documents via a dedicated network of peers. DatashareNetwork combines well-known anonymous authentication mechanisms and anonymous communication primitives, a novel asynchronous messaging system, and a novel multi-set private set intersection protocol (MS-PSI) into a *decentralized peer-to-peer private document search engine*. We prove that DatashareNetwork is secure; and show using a prototype implementation that it scales to thousands of users and millions of documents.
Perpendicular Universes op. 80

Author(s): Łopacki, Marcin Piotr | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
Research Guides: Holding Space Community Learning Page: Intro to Holding Space

In this guide, you will find resources and guidance on how to Hold Space in your classroom.
Optimal Scaling Configurations for Microservice-Oriented Architectures Using Genetic Algorithms

Genetic algorithms (GAs) are a powerful tool for solving multi-objective optimization problems. Resource allocation and scaling of cloud systems typically involve multiple conflicting objectives, s ...
Distributed Atomic Swap on Cryptocurrencies

Anyone who wants to trade something in his possession with something else desires three things: To trade at the most appropriate rate, to trade at the least cost, not to be exposed to theft and fraud during the clearing.The cryptocurrency swap is also no different from swapping of any two entities.Crypto-currencies are getting more and more attractive day by day because their stock exchanges are open 24/7.Although all crypto-money markets in the world have similar expectations, existing market models have difficulties and risks while operating on them.The problem of this research is centralized exchange markets and risks while operating on them.The study aims to develop a distributed exchange model on blockchain using smart contracts for atomic swap method, and payment channels technology for liquidity.With this model, users will pay less without taking risks of centralized exchange markets, like hacking, theft and fraud.In central exchanges, users first send their cryptocurrencies to the stock exchange's account to trade.This results in collection of all cryptocurrencies of users in a single pool.With this model, users will be allowed to wait in their wallets until the cryptocurrency is exchanged, and the risk of central hacking will be eliminated.Original contribution of this study to the literature is to combine Atomic Swap and Payment Channels technologies to create a liquid decentralized stock market model as much as central exchanges.
An End-to-End Solution for Automatic Contouring of Tumor Region in Intraoperative Images of Breast Lumpectomy

Breast-conserving surgery, also known as lumpectomy, is an early stage breast cancer treatment that aims to spare as much healthy breast tissue as possible. A risk associated with lumpectomy is the presence of cancer positive margins post operation. Surgical navigation has been shown to reduce cancer positive margins but requires manual segmentation of the tumor intraoperatively. In this paper, we propose an end-to-end solution for automatic contouring of breast tumor from intraoperative ultrasound images using two convolutional neural network architectures, the U-Net and residual U-Net. The networks are trained on annotated intraoperative breast ultrasound images and evaluated on the quality of predicted segmentations. This work brings us one step closer to providing surgeons with an automated surgical navigation system that helps reduce cancer-positive margins during lumpectomy.
Unsupervised text simpliﬁcation using neural style transfer

With the growing interdependence of the world economies, cultures and populations the advantages of learning foreign languages are becoming more than ever apparent. The growing internet and mobile phone user base provides signiﬁcant opportunities for online language learning, the global market size of which is forecasted to increase by almost $17.9 bn during 2019-2023. One of the most effective ways to better oneself in a foreign language is through reading. Graded readers — the books in which the original text is simpliﬁed to lower grades of complexity — make the process of reading in a foreign language less daunting. Composing a Graded reader is a laborious manual process. There are two possible ways to computerize the process of writing Graded readers for arbitrary input texts. The ﬁrst one lies in utilizing a variation of supervised sequence-to-sequence models for text simpliﬁcation. Such models depend on scarcely available parallel text corpora, the datasets in which every text piece is available in the original and simpliﬁed versions. An alternative unsupervised approach lies in applying neural style transfer techniques where an algorithm can learn to decompose a given text into vector representations of its content and style and to generate a new version of the same content in a simpliﬁed language style. In this work, we demonstrate the feasibility of applying unsupervised learning to the problem of text simpliﬁcation by using cross-lingual language modeling. It allows us to improve the previous best BLEU score from 88.85 to 96.05 for the Wikilarge dataset in unsupervised fashion, and SARI score from 30 to 43.18 and FKGL from 4.01 to 3.58 for the Newsela dataset in semi-supervised one. Apart from that, we propose new penalties that provide more control during beam search generation.
LibGuides: Summer Bridge 2020: Library Databases

An introduction to the library and its services and resources for the 2020 Summer Bridge program
Getting to Know Scholarly Journals

This presentation was given to an ENGL 630 class upon invitation of the instructor, Professor Anne Gere. The goal was to provide students with a framework and some tools for an assignment to come later in the semester where they will need to research a specific scholarly journal and introduce it to their class.
Managing Preference Profiles in Multi-User Intelligent Environments

Development of Intelligent Environments have been so far mostly ad-hoc and here we investigate one fundamental bottleneck which needs to be addressed to facilitate more effective developments in the future: handling of user preferences in a multiple user environment. This paper analyzes some cases which combine different approaches to manage users preferences combining services at higher and lower levels with user-led and environment-led approaches. We assess some practical pros and cons in each of these combinations as well as some more fundamental building blocks which developers need to reflect on from a scientific point of view before embarking on the engineering of these systems.
Describing the indescribable: how people talk about new music

Describing and evaluating aesthetic objects or events which stand outside familiar genre and stylistic boundaries presents a special problem. It’s not simply the difficulty of “effing the ineffable”, of finding exactly the right term or terms to capture the nature of the subjective experience, which is after all a familiar problem in criticism. It’s more that in the contemporary arts, the intelligible link between description and evaluation we take to exist in familiar critical terms such as “graceful” and “grand” has become dysfunctional. This is shown in the frequent use of such terms as “twisted” and “perverted” in film and fiction criticism, as terms of approbation. Clearly the link here between the named quality and the associated evaluation must work in a different way. One can observe an analogous phenomenon in critical writing and in everyday discourse around contemporary art music, where novel terms such as “immersive” and “hypnotic” have spread like wildfire in recent years.Calling on recent work in ethics and aesthetics on the nature of “thick” and “thin” terms, which tries to explicate exactly how the functions of description and evaluation are differently combined in different sorts of term, this paper will offer an explication of the way these two functions are related in a number of terms now commonly used to describe the experience of listening to contemporary music. In doing so, the author hopes to shed a little light on the changing nature of avant-garde or “cutting-edge” musical experiences, as revealed in the terms listeners now use to talk about them.
Correction to: A system based on Hadoop for radar data analysis

The below affiliation for author Chi Yang was missed to be included in the original article.
LibGuides: Databases and E-books: Plagiarism

A listing of online databases and information about how to use our e-book collection Lists types and examples of Plagiarism.
When Is Amplification Necessary for Composition in Randomized Query Complexity

Suppose we have randomized decision trees for an outer function f and an inner function g. The natural approach for obtaining a randomized decision tree for the composed function (f∘ gⁿ)(x¹,…,xⁿ) = f(g(x¹),…,g(xⁿ)) involves amplifying the success probability of the decision tree for g, so that a union bound can be used to bound the error probability over all the coordinates. The amplification introduces a logarithmic factor cost overhead. We study the question: When is this log factor necessary? We show that when the outer function is parity or majority, the log factor can be necessary, even for models that are more powerful than plain randomized decision trees. Our results are related to, but qualitatively strengthen in various ways, known results about decision trees with noisy inputs.
Sensorless collision detection with safe reaction for a robot manipulator.

This thesis is about collision detection and reaction for robot manipulators without joint torque sensors. The method for detecting collisions used by [1], [2] is based on an algorithm that estimat ...
13. The emergence and forms of intellectual property law

Systems of intellectual property law date back many centuries and play a very important role in the information technology field. The main forms of intellectual property law are patents, copyright and trade marks. All play important roles and are considered in this section of the book. Patents and copyright have been applied in an IT context from the early days of the computer whilst trade marks have come to assume more significance with the commercialization of the Internet and its use by major manufacturers who typically own many trade marks developed for use in the course of their activities in the physical environment. As with many areas, the connection between the real and virtual words is not exact. The application of the law of copyright to software has seldom been in doubt. It is clear that the unauthorized copying of all of a work is unlawful. What is not clear is the extent of the protection. The famous scientist Isaac Newton is quoted as saying “If I have seen further, it is because I stood on the shoulders of giants”. Most later works build to some extent on their predecessors and there is a difficult dividing line between fair and unfair use of such works. Somewhat different issues apply in relation to patents – a branch of the law which offers the strongest protection but does require that works be innovative and produce a technical effect – that they should do something. This can be difficult to assess in respect of very fast-moving technologies.
Artificiell intelligens (AI) inom fordon : En studie av användarens upplevelse och påverkan av meddelanden samt feedback.

Artificial intelligence (AI) has come more and more now in recent years in many different forms and applications. AI in vehicles is a relatively new phenomenon where it is seen as a support system. ...
"Jag har ju glömt badrummet!" : En studie om hur eget skapande kan underlätta förståelsen för möjligheterna att bo flexibelt och yteffektivt i ett modulhus

This is an examination paper in information design specializing in spatial design.This work is searching for more understanding of what joy and co-creation in interaction with a 3D-model can bring ...
LibGuides: ENG300-04 Seminar in Critical Practice (Schwartz): Home

This guide provides resources and information to assist with assignments for Schwartz's ENG300 course.