Miracle-dz/UniFAR-FTUs huggingface dataset:
Adversative conjunction choice in Russian (no, da, odnako): Semantic and syntactic influences on lexical selection

Abstract This article presents a multivariate analysis of adversative conjunction choice (among no, da, and odnako) in Russian, drawing implications for sentence production and semantic theory. The two main factors shown to influence conjunction choice are the types of the conjoined constituents and the semantic subtype of the adversative relation. One of the conjunctions, da, is favored when the conjoined elements are of different syntactic types and disfavored when they are of the same type, which is argued to suggest that the conjunction is chosen at a point in sentence production when the types of both of the conjoined constituents are known (Uryson, 2006). In addition, the conjunction da is heavily favored by the “preventive” adversative meaning (Sannikov, 1989:177; Serebrjanaja, 1976), as in I would go but I don't have the money. This quantitative meaning-construction association is argued to support the view that the preventive adversative is a distinct semantic subtype of adversativity (Payne, 1985; contra Foolen, 1991:84).
Drivers’ Avoidance Strategies When Using a Forward Collision Warning (FCW) System

Forward collision warning (FCW) systems help prevent rear-end collisions by identifying and alerting drivers of threats ahead. Understanding drivers’ avoidance strategies i.e. the tendency to brake or steer is important for the design and effectiveness of these systems. A driving simulator study was performed across five US locations to examine three driver avoidance maneuvers: braking only, steering only and combined braking and steering. A log-linear analysis was used to investigate the likelihood of an avoidance maneuver given the driver characteristics (age, gender) and study location. Findings showed that drivers aged 40 years and older were more likely to use a combined braking and steering maneuver to avoid a rearend collision. Drivers from two coastal urban areas (Washington, D.C. and Seattle, WA) were less likely to choose braking only in response to FCW alerts. Younger drivers and drivers that live in more rural areas (Clemson, SC and Iowa City, IA) were more likely to select braking only to avoid a crash, which could be due to their experience in less congested traffic environment. The findings of this study provide some insights on the factors associated with various avoidance strategies among drivers. This understanding can help guide the design of future in-vehicle collision warning systems.
The IVTANTHERMO-Online database for thermodynamic properties of individual substances with web interface

The database structure, main features and user interface of an IVTANTHERMO-Online system are reviewed. This system continues the series of the IVTANTHERMO packages developed in JIHT RAS. It includes the database for thermodynamic properties of individual substances and related software for analysis of experimental results, data fitting, calculation and estimation of thermodynamical functions and thermochemistry quantities. In contrast to the previous IVTANTHERMO versions it has a new extensible database design, the client-server architecture, a user-friendly web interface with a number of new features for online and offline data processing.
Aspect extraction for sentiment analysis in Arabic dialect

The increase of the user-generated content on the web led to the explosion of opinionated text which facilitated opinion mining research. Despite the popularity of this research field in English text and the large number of Arabic speakers who contribute continuously to the web content, Arabic opinion mining has not received much attention due to the lack of reliable NLP tools and an accepted/comprehensive dataset. While English opinion mining has been studied extensively, Arabic opinion mining hasn’t received as much attention. The work that exists in sentiment analysis is limited to news, blogs written in Modern Standard Arabic and few studies on social media and web reviews written in Arabic dialect. Moreover, most of the work done has been done at the document and sentence level and to best of our knowledge, there is no work on a more fine-grained level. In this work, we take a more fine-grained approach to Arabic opinion mining at the aspect level through experimentation with methods that have been used in English Aspect extraction. Further, we are also contributing a dataset that can be used for further research on Arabic dialect.
Credibility of Science Communication: An Exploratory Study of Press Releases in Astronomy

Twelve qualitative open-ended in-depth interviews with public information officers from large governmental scientific institutions as well as scientists and journalist were conducted in November 2005. An analysis of the interviews is carried out, to study how far science communicators in the name of science communication can, or should, push, without damaging the individual, and thus also the collective credibility, of the science communication community and the involved institutions. Overall the study suggests that a credibility problem for astronomical press releases does not exist. However the interviews indicated a problem within the scientific community, where some lack of understanding and respect among the actors is found. All actors though, showed great attention and concern for communicating science in a credible way. A code of conduct presenting guidelines for how to minimize hype in press releases is presented.
PROCEEDINGS of the HUMAN FACTORS AND ERGONOMICS SOCIETY 45th ANNUAL MEETING- 2001 MENTAL MODEL ASSESSMENTS: IS THERE CONVERGENCE AMONG DIFFERENT METHODS?

Knowledge elicitation and mental model assessment methods are becoming increasingly popular in applied psychology. However, there continue to be questions about the psychometrics of knowledge elicitation methods. Specifically, more needs to be known regarding the stability and consistency of the results over time (i.e., whether the methods are reliable) and regarding the degree to which the results correctly represent the underlying knowledge structures (i.e., whether the methods are valid). This paper focuses on the convergence among three different assessment methods: (a) pairwise relatedness ratings using Pathfinder, (b) concept mapping, and (c) card sorting. Thirty-six participants completed all three assessments using the same set of twenty driving-related terms. Assessment sequences were counterbalanced, and participants were randomly assigned to one of the six assessment sequences. It was found that the three assessment methods showed very low convergence as measured by the average correlation across the three methods within the same person. Indeed, convergence was lower than the sharedness across participants (as measured by the average correlation across participants within the same assessment method). Additionally, there were order effects among the different assessment sequences. Implications for research and practice are discussed.
Interaction forms in successful collaborative learning in virtual learning environments

Despite the numerous studies on social interaction in collaborative learning, little is known about interaction forms in successful computer-supported collaborative learning situations. The purpose of this study was to explore and understand student interaction in successful collaborative learning during a university course which was mediated by two different types of virtual learning environment. Through a qualitative case study, we examined how students interacted with each other while working with collaborative tasks. Results indicate that interaction in collaborative situations was more often group-related than task-related. Group-related interaction concentrated mostly on coordination of group work, such as planning and organising group activities. Task-related interaction was mostly in the form of comments or answers to earlier messages. However, there were differences in the interaction forms according to the learning environment. The results of this study provide teachers, educators and educational coordinators guidelines for how to organise and enhance successful collaborative learning both virtually and face-to-face.
VascuSynth: Vascular Tree Synthesis Software

In previous work, we presented an algorithm to synthesize volumetric images of vascular trees and generate the corresponding ground truth segmentations, bifurcation locations, branch properties, and tree hierarchy. In this work, we provide the software needed to simulate these volumes. Our software expects a number of physical parameters and oxygen demand maps to produce 3D volumetric images of vasculature, as well as information about the bifurcation locations, tree hierarchy and branch radii in a GXL file. We foresee our software useful for large scale evaluation studies of medical image segmentation and analysis software.
The Effectiveness of Using Corpus-Based Materials in Vocabulary Teaching.

THE EFFECTIVENESS OF USING CORPUS-BASED MATERIALS IN VOCABULARY TEACHING Ergül, Yeliz M.A. Thesis in ELT Supervisor: Assoc. Prof. Dr. Turan PAKER March 2014, 87 Pages This study investigated the effectiveness of using corpus-based activities in English vocabulary learning. The purpose of the study was to investigate the effectiveness of corpus-based activities in vocabulary teaching instead of using traditional methods such as textbook activities and dictionaries in vocabulary teaching. Another purpose of this study was to examine students’ attitudes towards corpus-based vocabulary activities. Thirty-four intermediate level preparation class students at a private university in Turkey participated in the study. There were two intact groups; the experimental group worked on concordance-based materials, whereas the control group used textbook and dictionary. The research was quasi-experimental research and included both quantitative and qualitative research instruments. As quantitative instruments, a proficiency exam, preand post tests and a questionnaire based on a 5 -point Likert scale were used. Interviews and learner diaries were used as qualitative instruments. The statistical analysis of the test results revealed that using corpus-based vocabulary activities were more effective than using a textbook. Additionally, our findings revealed that the students’ attitudes were positive towards using corpus-based vocabulary activities.
A study of provenance in databases and improving the usability of provenance database systems

Provenance refers to information about the origin of a piece of data and the process that led to its creation. Provenance information has been a focus of database research for quite some time. In this field, most of the focus has been on the subproblem of finding the source data that contributed to the results of a query. More formally, the problem is defined as follows: given a query q and a tuple t in the results of q, which tuples from the relation R accessed by q caused t to appear in the results of q. The most studied aspect of this problem has been on developing models and semantics that allow this provenance information to be generated and queried. The motivations for studying provenance in databases vary across domains; provenance information is relevant to curated databases, data integration systems, and data warehouses for updating and maintaining views. In this thesis, I look extensively at provenance models as well as different system implementations.I compare the different approaches, analyze them, and point out the advantages and disadvantages of each approach. Based on my findings, I develop a provenance system based on the most attractive features of the previous systems, built on top of a relational database management system. My focus is on identifying areas that could potentially make provenance information easier to understand for users, using visualization techniques to extend the system with a provenance browsing component. I provide a case study using my provenance explorer, looking at a large dataset of financial data that comes from multiple sources. Provenance information helps with tracking the sources and transformations this data went through and explains them to the users in a way they can trust and reason about. There has not been much work focused on presenting and explaining provenance information to database
Scalable multi-channel networks: architectures and protocols

Scalable Multi-Channel Networks: Architectures and Protocols Duanyang Guo (Advisor: Professor Anthony S. Acampora) Multi-channel networks allow concurrent data transmissions at each network station and promise to overcome the fundamental limitation of the single-channel networks that the network throughput is bounded by the transmission rate supported by electronics at any one of the end-stations. Examples of multi-channel networks include WDM lightwave networks, mobile wireless networks and VPbased ATM networks. In this dissertation, we study the design and operation of multi-channel networks. First, we study the central issue of ATM-based singlehop WDM lightwave networks, the sender-receiver coordination of cell (packets) transmission. We present new protocols to signi cantly reduce the tuning overhead and the control signaling demand, allowing the networks to support more network stations cost-e ectively while improving the network performance. A new synchronization scheme allows, for the rst time, the stations in this type of networks to have arbitrary distances to the star coupler. Secondly, we derived, for the rst time in a closed-form, the upper-bound of the end-user capacity for a generic multi-hop multi-channel network under an arbitrary user-to-user tra c pattern. The work reveals that the upper-bound of multi-hop network capacity reversely depends upon the entropy of the tra c distribution and thus an e cient multi-hop network must exploit the community interests among users. This nding motivates us to propose a non-hierarchical multi-hop architecture, called hyper-cluster, which is modularly scalable and recon gurableto on both hardware and software senses. Unlike hierarchical networks, hyper-clusters treat all access stations as peers. Last, we propose two approaches to build WDM lightwave networks using hyper-cluster. In the rst approach, we choose Shu eNets as building blocks of hyper-clusters, which are embedded onto mesh ber networks. Additionally, we show that topologically a Shu eNet is the multiplication of hypercube and ring. This allows a Shu eNet embedded onto a mesh ber network with a few wavelengths. In the second approach, we choose multi-loop rings as building blocks of hyper-clusters, which are embedded onto interconnected ber rings. E cient adaptive convergence routing algorithms on rings are presented. A wavelength assignment algorithm for minimizing the number of wavelengths used is also found.
A PCA–CCA network for RGB-D object recognition

Object recognition is one of the essential issues in computer vision and robotics. Recently, deep learning methods have achieved excellent performance in red-green-blue (RGB) object recognition. However, the introduction of depth information presents a new challenge: How can we exploit this RGB-D data to characterize an object more adequately? In this article, we propose a principal component analysis–canonical correlation analysis network for RGB-D object recognition. In this new method, two stages of cascaded filter layers are constructed and followed by binary hashing and block histograms. In the first layer, the network separately learns principal component analysis filters for RGB and depth. Then, in the second layer, canonical correlation analysis filters are learned jointly using the two modalities. In this way, the different characteristics of the RGB and depth modalities are considered by our network as well as the characteristics of the correlation between the two modalities. Experimental results on the most widely used RGB-D object data set show that the proposed method achieves an accuracy which is comparable to state-of-the-art methods. Moreover, our method has a simpler structure and is efficient even without graphics processing unit acceleration.
Algorithms on Strings, Trees, and Sequences - Computer Science and Computational Biology

Linear-Time Construction of Suffix Trees We will present two methods for constructing suffix trees in detail, Ukkonen’s method and Weiner’s method. Weiner was the first to show that suffix trees can be built in linear time, and his method is presented both for its historical importance and for some different technical ideas that it contains. However, lJkkonen’s method is equally fast and uses far less space (i.e., memory) in practice than Weiner’s method Hence Ukkonen is the method of choice for most problems requiring the construction of a suffix tree. We also believe that Ukkonen’s method is easier to understand. Therefore, it will be presented first A reader who wishes to study only one method is advised to concentrate on it. However, our development of Weiner’s method does not depend on understanding Ukkonen’s algorithm, and the two algorithms can be read independently (with one small shared section noted in the description of Weiner’s method).
Pre-Flight Wind Tunnel Test of High Speed Flight Demonstration Phase II

The High Speed Flight Demonstration Phase II (HSFD Phase II) is a flight test program, which is planned to acquire transonic aerodynamic characteristics and accumulate autonomous control technique of HOPE-X, a Japanese re-entry vehicle which has a large base. The aerodynamic analysis in the HSFD Phase II program consists of flight tests, wind tunnel tests and CFD analyses. The objective of this program from the aerodynamic point of view is clarifying the difference between the results of those three kinds of analysis and evaluate validity (or invalidity) of conventional ground testing methods in estimating the aerodynamic characteristics of the vehicle with a large base. In this program, a highly unique method is hired to accelerate the experiment vehicle. It will be pulled up to high altitude by a stratospheric balloon. Then vehicle released from there will accelerate due to the gravity force to transonic speed under the control of a onboard flight control computer. Before the flight tests, the pre-flight wind tunnel test was performed. The main objectives of it are mainly two. The first one is validation of the aerodynamic model built with the wind tunnel test of HOPEX because external deviations from original HOPE-X configuration, such as a long ADS probe and GPS antennas are added to the HSFD vehicle. The other is eavluation of various model support systems such as a straight sting support, a dorsal support with blade strut above the model and a ventral support with blade strut underneath the model, to find the good support system to reproduce base flow in the flight condition and to acquire the reference data of the flight test. When the blade strut was used, a dummy sting was able to be added to reproduce the base flow in the straight sting support configuration. The wind tunnel test was performed in the 2m × 2m transonic wind tunnel of the National Aerosapce Laboratory of Japan (NAL-TWT1) and the test Mach
Delaunay–Voronoi surface integration: a full‐wave electromagnetics discretization for electronic device simulation

A promising time domain electromagnetics numerical method for treating the highly nonlinear problem of charge transport in electronic devices called Delaunay–Voronoi surface integration is presented. This method couples the rotational electric and magnetic fields governed by Ampere's and Faraday's laws with the electrostatic potential dictated by Poisson's equation in a simultaneous solution. Discretization of the governing equations using dual meshes and the relevant boundary conditions are presented. The engineering application details specific to electronic device simulation are treated, and an example calculation is shown to compare with an analytical solution for propagation in a waveguide. Benchmark results are presented for the rotational equations, Poisson's equation, and the complete set of electromagnetic equations. Copyright © 2016 John Wiley & Sons, Ltd.
Scholarly Sharing via Twitter: #icanhazpdf Requests for Health Sciences Literature

Introduction: Although requesting access to journal articles and books via colleagues and authors is a long-established academic practice, websites and social media platforms have broadened the scope and visibility of academic literature sharing among researchers. On Twitter, the #icanhazpdf hashtag has emerged as a way for researchers to request and obtain journal articles quickly and efficiently. This study analyzes use of the #icanhazpdf hashtag as a means of obtaining health sciences literature. Methods: RowFeeder software was used to monitor and aggregate #icanhazpdf requests between 1 February and 30 April 2015. This software records data such as Twitter handle, tweet content, tweeter location, date, and time. Tweets were hand-coded for the journal subject area, the requestor’s geographic location, and the requestor’s occupational sector. Results: There were 302 requests for health sciences literature during the study period. Many requests were made by users affiliated with a post-secondary academic institution (45%, n = 136). Very few requests were made by users located in Canada ( n = 15). Conclusion: #icanhazpdf requests for health sciences literature account for a relatively small proportion of peer-to-peer article sharing activities when compared with other online platforms. Nevertheless, this study provides evidence that some faculty and students are choosing social media over the library as a means of obtaining health sciences literature. Examining peer-to-peer article sharing practices can provide insights into patron behaviour and expectations.
Embedded teaching and learning of adult literacy, numeracy and ESOL: seven case studies

The purpose of this research project was to gather evidence about the characteristics of embedded [literacy, language and numeracy] LLN teaching and learning. In particular, the project aimed to establish what is meant by 'embedded teaching and learning', how the vocational subjects and the LLN skills relate on such programmes, how subject teachers and LLN teachers work together or how sometimes a single teacher can handle both, and what implications can be drawn for policy and practice. To study all this, it was essential to select a contrasting range of embedded programmes for the case studies. In selecting the case studies, close reference was made to the work of the [Department for Education and Skills] DfES Standards Unit, and to the findings of the Developing Embedded Basic Skills project (DEBS). The project aimed to examine a wide variety of embedded LLN provision to reflect the diversity of vocational courses. The sites for the case studies were selected from the following curriculum areas: land-based; entry to employment (E2E) - engineering; construction; complementary therapy; childcare; and nursing. The courses studied were either standard vocational programmes for young people or specially designed preparatory vocational programmes for adults. The case studies describe examples of embedded approaches at work, and illuminate how embedded LLN can work successfully as an integral part of vocational courses. They also illuminate some of the characteristics critical to this success.