Miracle-dz/UniFAR-FTUs huggingface dataset:
Teaching English : Listening Skills

The paper presents the overview of the features of perception of sounding speech and bilingual students’ phonetic difficulties while listening English speech. The issue is relevant and of considerable interest for teaching English as a foreign language. The difference between language systems and other factors such as Intonation system may cause problems in perception of foreign speech. The aim of the paper was to find out the phonetic difficulties for Russian and Tatar students with listening tasks. Distinction between a visual and acoustical image of the word also considerably complicates understanding during listening. Research problems in the paper were: 1) to follow psychological difficulties during perception and understanding of the spontaneous speech; 2) to find solutions of reducing phonetic difficulties of listening; 3) to improve the development of auditory memory and listening skills by bilingual students. © 2017 The Authors. Published by EBSCO.
Interpolated Velocity Correction Immersed Boundary-Lattice Boltzmann Method for Fluid Flows with Flexible Boundary

An interpolated velocity correction scheme for the simulation of the interaction between fluid and flexible boundary using an immersed boundary-lattice Boltzmann method (IB-LBM) is proposed. In the conventional IB-LBM, the velocity field on the immersed boundary is determined by interpolating from an Eluerian grid to a Lagrangian grid using a discrete Dirac delta function, which is not divergence-free. As a result, this method can generally suffer from poor volume conservation for the closed immersed boundary. The key idea of the proposed interpolated velocity correction scheme is correcting the interpolated velocity field to satisfy a discrete divergence-free constraint defined on the Lagrangian boundary in the fluid. The proposed scheme makes no modifications to solve Navier-Stokes (N-S) equations using the lattice Boltzmann method (LBM) on the Eulerian grid and also improves volume conservation for the closed immersed boundary. Two examples are presented to verify the efficiency and accuracy of the proposed scheme.
Virtualization for a CyberSecurity Laboratory

Virtualization has become an integral part of the businesses of today. The virtue of virtualization rests on its ability to cut down cost and to provide an effective means of managing Information Technology (IT) resources. The purpose of this study on virtualization is two-fold: first is to find an effective way to deliver online pedagogical materials and exercises, and second is to compare the merits of various virtualization systems using a common platform. We present our findings on this paper and direct the reader to avenues of possible future research directions.
A ug 2 01 7 STRONG MAXIMUM PRINCIPLES FOR FRACTIONAL ELLIPTIC AND PARABOLIC PROBLEMS WITH MIXED BOUNDARY CONDITIONS

We present some comparison results for solutions to certain non local elliptic and parabolic problems that involve the fractional Laplacian operator and mixed boundary conditions, given by a zero Dirichlet datum on part of the complementary of the domain and zero Neumann data on the rest. These results represent a non local generalization of a Hopf’s lemma for elliptic and parabolic problems with mixed conditions. In particular we prove the non local version of the results obtained by J. Dávila and J. Dávila-L. Dupaigne for the classical case s = 1 in [23] and [24] respectively.
A note on collapsibility in recursive graphical models of contingency tables

The notion of collapsibility is important for the practical and conceptual analysis of contingency tables which includes hypothesis testing, model selection, and data reduction. Contingency tables of high dimension are difficult to deal with for detecting model structure, and cells are apt to be empty or to have very low frequencies when the dimension is large. Collapsing a large table into manageable marginal tables might save us from such a difficulty in statistical analysis. But some parameters describing the interactions among a set of variables may be affected by summing over the rest of the variables. Discussion of this issue of collapsibility dates back to the Yule-Simpson paradox (Simpson 1951) and is continued by many investigators including Darroch (1962), Lewis (1962), Birch (1963), and Plackett (1969), to name only the first few in this line of work.
Tuning Rules for Proportional Resonant Controllers Luı́s

In this paper we propose a particular structure for resonant controllers and a tuning method of the ZieglerNichols type for their tuning. Performance criteria for resonant controllers are also defined. The effectiveness of the tuning rules is illustrated by their application and corresponding performance assessment in a test batch consisting of four representative classes of processes. The control performance is analyzed in detail for one particular example, shedding light on the virtues and limitations of the control structure and of the tuning method.
Smart Physics with Video Tracking *

The Smart Physics lab has been designed to introduce the students to new methods of data collection using commonly available consumer devices. This primer is meant as a general introduction to the experiments in the Smart Physics Lab in which video tracking is used to study several principles of physics. The aim is to explain the general methodology of conducting experiments with video tracking and extracting data for numerical analysis. For specific experiments, one may refer to the individual experiment manuals that are uploaded on our website.
Attention Deficits in Stroke Patients: The Role of Lesion Characteristics, Time from Stroke, and Concomitant Neuropsychological Deficits

Attention impairments are frequent in stroke patients with important consequences on the rehabilitation outcomes and quality of life. The aim of the study was to perform a comprehensive assessment of selective and intensive attention processes in a large population of brain-damaged patients, evaluating the influence of the side and site of the brain lesion, the time from stroke, and the concomitant presence of aphasia or neglect. We assessed 204 patients with a first unilateral brain lesion and 42 healthy individuals with three subtests of the Test of Attentional Performance (TAP): Alertness, Go-No Go, and Divided Attention. 44.4% of patients had an impairment in both intensive and selective aspects of attention, 5.6% had deficits only in the intensive component, and 31.8% had deficits only in selective tasks. More than 80% of the patients fell below the cut-off point on at least one task. Patients with a right hemispheric lesion (RHL) were more impaired than patients with a left hemispheric lesion (LHL) especially in tonic and phasic alertness. Patients with total anterior infarcts (TACI) presented the worst profile compared to other stroke subtypes, with a difference between total and lacunar subtypes in the Alertness test, independent of the presence of warning. Patients in the chronic phase had shorter RTs than acute patients only in the Alertness test. In patients with LHL, the presence of aphasia was associated with a greater deficit in selective attention. In patients with RHL, the presence of unilateral neglect was associated with impaired alertness and selective attention. Attention deficits are common after a unilateral first stroke. In keeping with the hierarchical organization of attention functions, results confirm the important role of the right hemisphere for the intensive components of attention, also highlighting the involvement of left hemisphere functioning for the selective aspects, possibly indicating a role of its linguistic functions.
A neurocomputational model of learning to select actions

We present an extension of a schema-based architecture for action selection, where competition between schemas is resolved using a variation of a neuroanatomically detailed model of the basal ganglia. The extended model implements distinct learning mechanisms for cortical schemas and for units within the basal ganglia. We demonstrate the functionality of the proposed mechanisms by applying the model to two classic neuropsychological tasks, the Wisconsin Card Sorting Task (WCST) and the Probabilistic Reversal Learning Task (PRLT). We discuss how the model captures existing behavioural data in neurologically healthy subjects and PD patients and how to overcome its shortcomings.
Revised Guidelines for RNA Quality Assessment for Diverse Biological Sample Input

Determining RNA quality is important prior to performing any downstream expression analysis such as microarrays or RT-qPCR. An RNA sample of poor quality could either lead to a labour-intensive cleanup process or compromise the results of the study. Currently, there is no consensus on standardized criteria for RNA quality assessment (1). The general “rule of thumb” measurements for determining the quality of an RNA sample include using the A260:A230 ratio, A260:A280 ratio and the RNA Integrity Number (RIN) generated from the Agilent 2100 Bioanalyzer (Agilent Technologies, USA). However, these conventional methods of RNA quality assessment are based on traditional systems such as pure cell lines or tissues from healthy, lab-raised subjects. For more diverse samples, these measurements are either not sensitive enough, or they are susceptible to interferences from contaminants present in the sample.
Examining the Outcome Effects of the Turnover Margin in Professional Football

This paper investigates a belief within professional football that whichever team commits fewer turnovers ultimately will win the game. Data was collected for seven seasons of NFL regular season games and was analyzed using logistic regression techniques. A variable was included to control for whether or not the team was playing at home or as a visitor. The team’s final turnover margin for a game was found to be a significant predictor. The model was then used to predict games for the 2008 NFL regular season and its accuracy was noted.
The Road to Early Success: Impact of System Use in the Swift Response Phase

When an enterprise system is introduced, system users often experience a performance dip as they struggle with the unfamiliar system. Appropriately managing this phase, which we term as the swift response phase SRP, is vital given its prominent impact on the eventual success of the system. Yet, there is a glaring lack of studies that examine the SRP. Drawing on sensemaking theory and early postadoptive literature, this study seeks to propose a theory-driven model to understand how different support structures facilitate different forms of use-related activities to induce a positive performance in the SRP. The model was tested through a two-stage survey involving 329 nurses. The results demonstrated the discriminating alignment between information system IS use-related activity and support structures in enhancing system users' work performance in the SRP. Specifically, suitability of impersonal support moderated the effects of standardized system use and individual adaption on performance, whereas availability of personal support only moderated the effect of nonstandardized system use on performance. For moderating role of personal support, IS specialists support had a lower influence than peer-champion support and peer-user support. This study contributes to the extant literature by 1 conceptualizing the turbulent SRP, 2 applying sensemaking theory to the initial postadoptive stage, 3 adding to the theoretical debate on the value of system use, and 4 unveiling the distinct roles of support structures under different types of use activities. Practical suggestions are provided for organizational management and policy makers to deal with the complexities in the SRP.
Low loss integrated N-path-filter-based circulator

In this paper, the integrated N-Path-Filter-Based circulator is thoroughly analyzed. Simplified linear time invariant (LTI) circuit models are introduced in order to perform the analysis. These models are then verified by comparison to the complex linear periodic time varying (LPTV) model of the circulator. Exploiting the insight acquired from the simplified models, a new and improved topology for the integrated circulator is proposed. The simulated sum of Tx-to-Ant insertion losses and NF are less than 1dB at 100MHz and less than 2dB at 2GHz. These results are significantly better than the previously reported state-of-the-art integrated circulator.
Face Recognition Using Approximated Bezier Curve and Supervised Learning Approach

Bezier curve are very strong for variety of application. Specifically in image processing it applies to object recognition, face recognition, and human gait recognition. It also works on fingerprint and other biometric system recognition. This paper presents a work to recognize digital images of human frontal faces using the approximated Bezier curve and an intelligent process of learning using neural network. The main structural features of faces like eye, eyebrows, nose, lips, and Face boundaries are extracted and using minimum of these features face is recognized efficiently.
Performance of TensorFlow Examining what factors impact the performance of TensorFlow in distributed systems

This study aims to examine what factors affect the scalability and performance of a distributed TensorFlow program. We created a TensorFlow cluster consisting of 3 Raspberry Pi 3 model Bs functioning as workers and one Dell XPS 13 (9350) acting as a parameter server. We benchmarked the performance of our cluster for different sizes and compositions of the TensorFlow graph and for different network configurations between the computers in the cluster. From the results we conclude that both of the previously mentioned factors impact the performance of our distributed TensorFlow program.
1 2 O ct 2 01 8 The hidden order in URu 2 Si 2 : Symmetry-induced anti-toroidal vortices

We discuss possible approaches to the problem of the URu2Si2 “Hidden Order” (HO) which remains unsolved after tremendous efforts of researches. Suppose there is no spatial symmetry breaking at the HO transition temperature and solely the time-reversal symmetry breaking emerges owing to some sort of magnetic order. As a result of its 4/mmm symmetry, each uranium atom is a threedimensional magnetic vortex; its intra-atomic magnetization M(r) is intrinsically non-collinear, so that its dipole, quadrupole and toroidal moments vanish, thus making the vortex “hidden”. The first non-zero magnetic multipole of the uranium vortex is the toroidal quadrupole. In the unit cell, two uranium vortices can have either the same or opposite signs of M(r); this corresponds to either ferro-vortex or antiferro-vortex structures with I4/mmm or PI4/mmm magnetic space groups, respectively. Our first-principles calculations suggest that the vortex magnetic order of URu2Si2 is rather strong: the total absolute magnetization |M(r)| is about 0.9 μB per U atom, detectable by neutron scattering in spite of the unusual formfactor. The ferro-vortex and antiferro-vortex phases have almost the same energy and they are energetically favorable compared to the non-magnetic phase.
Feature-based vs . Property-based KR : An Empirical Perspective

Two types of knowledge representations are most commonly used in Natural Language Processing ( NLP) to represent properties of objects. In semantic networks representations, description logics, and typed feature structures, properties are uniformly represented as feature 1 / value pairs: e.g., an ancient signet-ringwould be represented as ∃ x signet-ring(x) ∧ age(x)=ancient. In first-order and higher-order representations, the property of being ‘ancient’ is typically not decomposed: the representation of ’an ancient signet ring’ would be ∃ x signet-ring(x) ∧ ancient(x) (in FOL representations), or possibly –viewing ancient as a predicate modifier–as ∃ x ancient(signet-ring)(x), especially for non-intersective adjectives. We have been exploring the advantages and disadvantages of the two types of representation using a combination of large-scale data analysis and machine learning. We found, first of all, that not all ‘properties’ of objects we find can easily be decomposed into feature / value pairs, which supports the ’property’ view. However, we also found that clustering using features works better than clustering using all properties; and that clustering using both features and (certain) properties works best of all.
Early electron dynamics in graphene after Swift Heavy Ion impacts

H. Vazquez1, A. Kononov2, N. Medvedev3,4, A. Schleife2, F. Djurabekova1 1. Helsinki Institute of Physics and Physics Department, University of Helsinki 2. Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA 3. Institute of Physics, Czech Academy of Sciences, Na Slovance 2, Prague 8, 18221, Czech Republic. 4 Institute of Plasma Physics, Czech Academy of Sciences, Za Slovankou 3, Prague 8, 18200, Czech Republic.
Methamphetamine abuse and facial affect processing 1 Differences in Cortical Activity between Methamphetamine-Dependent and Healthy Individuals Performing a Facial Affect Matching Task Abbreviated title : Methamphetamine abuse and facial affect processing

As individuals who abuse Methamphetamine (MA) often exhibit socially maladaptive behaviors such as violence and aggression, it is possible that they respond abnormally to social cues. To investigate this issue, we exposed 12 MA-dependent participants (abstinent 5-16 days) and 12 healthy comparison participants to fearful and angry faces while they performed an affect matching task during functional magnetic resonance imaging (fMRI). Although the groups did not differ in task performance, the healthy participants showed more task-related activity than the MA-dependent participants in a set of cortical regions consisting of the ventrolateral prefrontal cortex (VLPFC), temporoparietal junction (TPJ), anterior and posterior temporal cortex, and fusiform gyrus in the right hemisphere, and the cuneus in the left hemisphere. In contrast, the MA-dependent participants showed more task-related activity than the healthy participants in the dorsal anterior cingulate cortex (dACC). Contrary to expectation, we found no difference between groups in amygdala activation. However, dACC hyperactivity, along with high self-ratings of hostility and interpersonal sensitivity in the MA-dependent group, suggest a hyper-sensitivity to socially threatening cues in the MA-dependent participants, while lower VLPFC activation could point to a deficit in integrating socio-emotional information and/or regulating this limbic hyperactivity. Additional activation differences in neural circuitry related to social cognition (TPJ, anterior, and posterior temporal cortex) suggest further socio-emotional deficits. Together, the results point to cortical abnormalities that could underlie the socially inappropriate behaviors often shown by individuals who abuse MA. Methamphetamine abuse and facial affect processing 3
Treatment of tibial fractures in children by flexible intramedullary nails

Background Closed reduction with cast immobilization is the main treatment of diaphyseal tibial shaft fractures in children and adolescents. The indications for treating pediatric tibia fractures surgically are unstable fracture patterns, unacceptable closed reduction, open fractures and unacceptable secondary displacements. Elastic intramedullary nailing of long-bone fractures in children up to 15 years old is an excellent treatment option it is associated with relatively minor complications. It is considered to be a physiological method of treatment because of early weight-bearing, rapid healing and minimal disturbance of bone growth. Patients & Methods This study includes 20 children with tibial shaft fractures treated with flexible intramedullary nails. Age of the children ranged from 4 to 14 years old, the final follow-up period was 6 months from the date of the initial injury. Results Functional results were assessed according to modified Hindley, The excellent and good results occurred in 19 (95%) patients and were considered satisfactory while the unsatisfactory results were the fair results in 1(5%) patient. The fair result was in a patient who had 10 degrees varus angulation. Conclusions Elastic intramedullary nailing is used for treatment of certain pediatric tibial shaft fracture, these include minimally invasive technique, offers smaller incisions, minimal surgical trauma to the fracture zone ,allows more rapid rehabilitation and is associated with relatively minor complications.
Towards the synthetic self: making others perceive me as an other

Abstract Future applications of robotic technologies will involve interactions with non-expert humans as machines will assume the role of companions, teachers or healthcare assistants. In all those tasks social behavior is a key ability that needs to be systematically investigated and modelled at the lowest level, as even a minor inconsistency of the robot’s behavior can greatly affect the way humans will perceive it and react to it. Here we propose an integrated architecture for generating a socially competent robot.We validate our architecture using a humanoid robot, demonstrating that gaze, eye contact and utilitarian emotions play an essential role in the psychological validity or social salience of Human-Robot Interaction (HRI). We show that this social salience affects both the empathic bonding between the human and a humanoid robot and, to a certain extent, the attribution of a Theory of Mind (ToM). More specifically, we investigate whether these social cues affect other utilitarian aspects of the interaction such as knowledge transfer within a teaching context.
OF CFD SIMULATION OF OXY-COAL COMBUSTION FOR ELETRICAL POWER GENERATION : OPPORTUNITIES AND CHALLENGES

The oxy-combustion has generated significant interested for reduction of CO2 emission when the fossil fuel is coal, due to simplification on the separation process of CO2 from the flue gas, it can be more easily stored in reservoir. The CFD numerical simulation techniques in oxy-coal combustion has the potential to contribute to designers in cost savings and reduced computational time; Furthermore, such techniques also provide a robust tool for better understanding and description of the aerothermodynamics processes involved, as well as, aiding the design of most efficient furnaces. However, to obtain representative results of the physical phenomena, the numerical models employed by CFD needs to be suitable for oxy-coal combustion. So, the aim of the paper is to carry out a review of the recent models that are being used for turbulence, combustion and pollutant emissions. Moreover, it is shown a comparison of different results obtained in the numerical simulation of oxy-coal combustion among new models, existing models and experiments. The analysis of the models and experiments shows that the challenges that are still being faced to obtain better accuracy of numerical simulation results. Improvements in the models for oxy-coal combustion can be seen like potential opportunities to investigate and optimize the process that occur in the combustion.