Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Iranian EFL Instructors' Understanding of Learning Styles and Their Students' Success in Reading Comprehension

Many variables reasonably influence teachers’ education. One of these considering variables is being aware of the students’ learning styles. Dornyei (2005) maintains that individual differences correlate strongly with L2 achievements. Keefe (1979) believes that learning styles might be thought of as cognitive, affective, and physiological traits that are relatively stable indicators of how learners perceive, interact with, and respond to the learning environment. The present study investigated the relationship between Iranian EFL instructors’ understanding of learning styles and their students’ success in reading comprehension tests. To achieve this goal, the researchers randomly selected 240 Iranian EFL instructors at tertiary level with more than three years of experience in teaching reading comprehension courses. The Teacher’s View over Students’ Learning Preferences Inventory (TVSLPI) as well as a test of language proficiency (MELAB) was employed as the study’s instruments. The findings revealed a significant relationship (p? 0.05) between the Iranian EFL instructors’ recognition of learning styles and their students’ success in reading comprehension test. Besides, the results of interviews showed that Iranian instructors have approximately similar attitudes toward teaching reading comprehension in Iranian contexts.
Fetal Alcohol Spectrum Disorder Standards: Supporting Children in the Care of Children’s Services

The purpose of this research was to examine the utilization of enhanced practice standards for children in care with Fetal Alcohol Spectrum Disorder (FASD). Children in care with FASD represent a vulnerable population and require multiple supports from a cross-disciplinary perspective. Children removed from the care of their parents were identiﬁed as having needs beyond standard care provided within Children’s Services in Alberta. To address this concern a project was initiated in 2002 and completed in 2005 which identiﬁed positive beneﬁt from an increase in caseload hours for workers responsible for children with FASD in the Aboriginal Unit including more contact with children and additional supports for foster parents. Standards regarding family visitation are also highlighted. An additional casework position was developed in order to decrease caseloads and meet the standards. Changing the way child welfare and foster care services are delivered for children with FASD is an important phenomenon to study and this research may guide future interventions.
Caregiving on the edge: the situation of family caregivers to older persons in Botswana

Little is known about the long-term care of older persons in Africa. In Botswana it is assumed that families care for their elderly relatives. Yet, the African family is undergoing change, due to more women entering the labour force and rural-to-urban migration of young adults in search of better employment opportunities. The purpose of this study was to explore the experiences of family caregivers to older persons in Botswana. A qualitative, grounded-theory methodology was used to interview 24 participants who were caring for an older person. The findings indicate that the caregivers are "living on the edge, as they struggle to meet basic survival needs. Implications of the findings for nursing practice, research and policy that address the plight of the caregivers are discussed.
Overview The Navier – Stokes equations govern an incompressible two-phase flow

Recent work on a consistent representation of surface tension and on the accurate computation of interface curvature has extended the applicability of the volume-of-fluid, or VOF, method to surface tension-driven phenomena. We have extended these methodologies to interfaces near solid surfaces; specifically, we show how height functions can be used to enforce a contact angle boundary condition at a contact line, for the full range of contact angles. As such, this work may be viewed as following up on the methodology of Renardy et al. (J. Comput. Phys. 2001; 171:243–263). This approach yields accurate values of curvature and the surface tension force at contact lines, values that converge with mesh refinement. The efficacy of the methodology is demonstrated using 2D examples of static fluid configurations in equilibrium and dynamic contact line phenomena that approach known equilibrium configurations. Copyright q 2007 John Wiley & Sons, Ltd.
Magnetic resonance imaging study of corpus callosum abnormalities in patients with different subtypes of schizophrenia

Background. Reductions in the size of the corpus callosum (CC) have been described for schizophrenia patients, but little is known about the possible regional differences in schizophrenia subtypes (paranoid, disorganised, undifferentiated, residual). Methods. We recruited 58 chronically schizophrenic patients with different subtypes, and 31 age-and-gender matched healthy controls. The callosum was extracted from a midsagittal slice from T1 weighted magnetic resonance images, and areas of the total CC, its five subregions, CC length and total brain volume were compared between schizophrenia subtypes and controls. Five subregions were approximately matched to fibre pathways from cortical regions. Results. Schizophrenia patients had reduced CC total area and length when compared with controls. Disorganised and undifferentiated schizophrenics had a smaller prefrontal area, while there was no significant difference for the paranoid and residual groups. The premotor/supplementary motor area was smaller in all schizophrenia subtypes. The motor area was smaller only in the disorganised group. A smaller sensory area was found in all subtypes except the residual group. Parietal, temporal and occipital areas were smaller in the paranoid and undifferentiated groups. Total brain volume was smaller in all schizophrenia subtypes compared with controls, but did not reach statistical significance. Conclusion. These findings suggest that the heterogeneity of symptoms may lead to the different CC morphological characteristics in schizophrenia subtypes.
The Improvement of mHealth Technologies Using AFE-based Integrated Devices

In this paper we consider the question of the use of analog-front End in the development of mobile devices for the diagnosis of physiological parameters. This approach can be used to create telemedicine systems. An AFE chip is a set of analog, digital, and hybrid circuits that are integrated on a single chip which enables one to create a multi-functional and flexibly configurative device.
Efficient Task Scheduling using Load Balancing in Cloud Computing

---------------------------------------------------------------------- ABSTRACT ----------------------------------------------------------- Workflow scheduling is a challenging field in computing in which tasks are scheduled according to the user requirement and it becomes costly due to the quality of service demand by the user. Cloud environment has been deployed for this work so as to reduce the overall cost. To maintain & utilize resources in the cloud computing scheduling mechanism is needed. Many algorithms and protocols are used to manage the parallel jobs and resources which are used to enhance the performance of the CPU in the cloud environment. Particles swarm Optimization (PSO) and Grey Wolf Optimization (GWO) are used for effective scheduling. This work is based on the optimization of Total execution time and total execution cost. The results of the proposed approach are found to be effective in compare to existing methods. The particle swarm optimization is initialized by using Pareto distribution. TET and TEC illustrated the minimized cost and time by using the GWO to converge the decision of virtual machine. Thus the work concludes that GWO performs better in compare to existing BAT algorithm.
Improving Logistics Costs for Transportation and Trade Facilitation

Access to basic infrastructure services - roads, electricity, water, sanitation - and the efficient provision of the services, is a key challenge in the fight against poverty. Many of the poor (and particularly the extreme poor) in rural communities in Latin America live on average 5 kilometers or more from the nearest paved road, which is almost twice as far as non-poor rural households. There have been major improvements in access to water, sanitation, electricity, telecommunications, ports, and airports, but road coverage has not changed much, although some effort and resources have been invested to improve the quality of road networks. This paper focuses on the main determinants of logistics costs and physical access to services and, whenever possible, provides evidence of the effects of these determinants on competitiveness, growth, and poverty in Latin American economies. The analysis shows the impact of improving infrastructure and logistics costs on three fronts - macro (growth), micro (productivity at the firm level), and poverty (the earnings of poor/rural people). In addition, the paper provides recommendations and solutions that encompass a series of policies to reduce the prevalent high logistics costs and limited access to services in Latin America. The recommendations rely on applied economic analysis on logistics and trade facilitation.
Automated Facial Expression System using PCA Algorithm

Facial expressions are important aspect of human communication. Human beings can identify facial expressions without any difficulty but this job is very difficult for computers to do. The purpose of this research paper is to develop such system which can identify the facial expressions of human beings in real time with minimum error. For the FER (i.e. Facial Expression Recognition), three steps are used; face detection, facial feature extraction and finally classification of expression. Technique used for facial feature extraction is Principal Component Analysis (PCA).
Experimental realization of an ideal Floquet disordered system

The atomic Quantum Kicked Rotor (QKR) is an outstanding ‘quantum simulator’ for the exploration of transport in disordered quantum systems. Here we study experimentally the phase-shifted QKR, which we show to display properties close to an ideal disordered quantum system, opening new windows into the study of Anderson physics.
Robust Real-Time Whole-Body Motion Retargeting from Human to Humanoid

Transferring the motion from a human operator to a humanoid robot is a crucial step to enable robots to learn from and replicate human movements. The ability to retarget in realtime whole-body motions that are challenging for the humanoid balance is critical to enable human to humanoid teleoperation. In this work, we design a retargeting framework that allows the robot to replicate the motion of the human operator, acquired by a wearable motion capture suit, while maintaining the whole-body balance. We introduce some dynamic filter in the retargeting to forbid dangerous motions that can make the robot fall. We validate our approach through several experiments on the iCub robot, which has a significantly different body structure and size from the one of the human operator.
Hurtlex: A Multilingual Lexicon of Words to Hurt

English. We describe the creation of HurtLex, a multilingual lexicon of hate words. The starting point is the Italian hate lexicon developed by the linguist Tullio De Mauro, organized in 17 categories. It has been expanded through the link to available synset-based computational lexical resources such as MultiWordNet and BabelNet, and evolved in a multi-lingual perspective by semiautomatic translation and expert annotation. A twofold evaluation of HurtLex as a resource for hate speech detection in social media is provided: a qualitative evaluation against an Italian annotated Twitter corpus of hate against immigrants, and an extrinsic evaluation in the context of the AMI@Ibereval2018 shared task, where the resource was exploited for extracting domain-specific lexicon-based features for the supervised classification of misogyny in English and Spanish tweets. Italiano. L’articolo descrive lo sviluppo di Hurtlex, un lessico multilingue di parole per ferire. Il punto di partenza è il lessico di parole d’odio italiane sviluppato dal linguista Tullio De Mauro, organizzato in 17 categorie. Il lessico è stato espanso sfruttando risorse lessicali sviluppate dalla comunità di Linguistica Computazionale come MultiWordNet e BabelNet e le sue controparti in altre lingue sono state generate semi-automaticamente con traduzione ed annotazione manuale di esperti. Viene presentata sia un’analisi qualitativa della nuova risorsa, mediante l’analisi di corpus di tweet italiani annotati per odio nei confronti dei migranti e una valutazione estrinseca, mediante l’uso della risorsa nell’ambito dello sviluppo di un sistema Automatic Misogyny Identification in tweet in spagnolo ed inglese.
The influence of uncertainty on venture capital investments in renewable energy technology : an exploratory study

The rate at which the climate is changing due to the exploitation of fossil fuel suggests that there is great emergency to speed up the development, commercialization, and diffusion of renewable energy technologies. Firms based on new technology (NTBFs) are widely recognized as propulsive in bringing new technologies to the market. Intriguingly, recurring studies report on severe difficulties experienced by NTBFs as regards getting access to sufficient growth capital. The traditional capital market’s failure to provide finance has made venture capital a sine qua non of innovation in such firms. Being a lever of innovation and thus central to the issue of climate change, better understanding of what influences venture capital investments in renewable energy technologies is crucial. Equity investing is an uncertain undertaking. This thesis aims at investigating what sources of uncertainty are relevant in relation to investments in renewable energy technologies. Telephone interviews were conducted with nine Swedish venture capital firms. It was found that technological uncertainty, market adoption/consumer uncertainty, competitive uncertainty and political, or regulatory, uncertainty were influential. Based on these results this thesis offers a discussion of implications for venture capital firms, technology developers and other actors in the innovation system. The discussion centers on the importance of networking.
Deep CFHT Y-band Imaging of VVDS-F22 Field. II. Quasar Selection and Quasar Luminosity Function

We report the results of a faint quasar survey in a one-square-degree field. The aim is to test the and color selection criteria for quasars at faint magnitudes to obtain a complete sample of quasars based on deep optical and near-infrared color–color selection and to measure the faint end of the quasar luminosity function (QLF) over a wide redshift range. We carried out a quasar survey based on the and quasar selection criteria, using the deep Y-band data obtained from our CFHT/WIRCam Y-band images in a two-degree field within the F22 field of the VIMOS VLT deep survey, optical co-added data from Sloan Digital Sky Survey Stripe 82 and deep near-infrared data from the UKIDSS Deep Extragalactic Survey in the same field. We discovered 25 new quasars at and mag within one-square-degree field. The survey significantly increases the number of faint quasars in this field, especially at . It confirms that our color selections are highly complete in a wide redshift range ( ), especially over the quasar number density peak at , even for faint quasars. Combining all previous known quasars and new discoveries, we construct a sample with 109 quasars and measure the binned QLF and parametric QLF. Although the sample is small, our results agree with a pure luminosity evolution at lower redshift and luminosity evolution and density evolution model at redshift .
A Novel Approach to Compute Semantic Relationship between Words

A web search engine returns many pages, when user searches information regarding a particular person. Some of these pages may be for other peoples with the same name. How can we disambiguate these peoples with the same name? This paper presents an unsupervised algorithm which produces unique phrases to disambiguate different people with the same name (i.e. namesakes). Our algorithm takes in a personal name and outputs multiple sets of phrases which uniquely identify the different namesakes on the web. These phrases could then be added to the query to narrow down the search to a specific namesake. We evaluated the algorithm on a collection of documents retrieved from the Web. Experimental results show a significant improvement over the existing methods proposed for this task. Index Terms—Web mining, information extraction, web text analysis.
Multimodal Animation Control

In this thesis, we present a multimodal animation control system. Our approach is based on a human-centric computing model proposed by Project Oxygen at MIT Laboratory for Computer Science. Our system allows the user to create and control animation in real time using the speech interface developed using SpeechBuilder. The user can also fall back to traditional input modes should the speech interface fail. We assume that the user has no prior knowledge and experience in animation and yet enable him to create interesting and meaningful animation naturally and fluently. We argue that our system can be used in a number of applications ranging from PowerPoint presentations to simulations to children's storytelling tools. Thesis Supervisor: Larry Rudolph Title: Principal Research Scientist
Leader-Following Consensus Stability of Discrete-Time Linear Multiagent Systems with Observer-Based Protocols

We consider the leader-following consensus problem of discrete-time multiagent systems on a directed communication topology. Two types of distributed observer-based consensus protocols are considered to solve such a problem. The observers involved in the proposed protocols include full-order observer and reduced-order observer, which are used to reconstruct the state variables. Two algorithms are provided to construct the consensus protocols, which are based on the modified discrete-time algebraic Riccati equation and Sylvester equation. In light of graph and matrix theory, some consensus conditions are established. Finally, a numerical example is provided to illustrate the obtained result.
Using Gamification for Teaching UML in Information System Design Course

Nowadays the practice of introducing gamification into areas such as education became quite popular. In this paper, we are examining the effects of applying gamification into the process of teaching the Information System design using Unified Modelling Language. In gamified UML course, we focused on introducing such game elements as points, levels, badges, leaderboard, and bonuses into the teaching process. Students’ activities during the course were logged and later analyzed. During analysis a positive influence on the student grades was observed. Moreover, a positive effect was noticed on the student intrinsic
Reappraisal of Luo-Rudy Dynamic Cell Model

The cardiac myocyte is unique in that it is responsible for the coupling of electrical impulse to mechanical function, a process with so-called “excitation-contraction coupling”. There are several ions, ion channels, and regulatory pathways participating in the generation of action potential (AP), and it is a complex process. In the cardiac myocyte, dynamic change of ionic concentrations, membrane voltage following time sequence and various regulatory pathways determine the ionic channel kinetics, which can be expressed as mathematical formalisms. The properties make it feasible to use the computational approach to analyze and elucidate the underlying mechanisms of the whole cardiac cell. Over the past decades, there have been several attempts to construct the cardiac cell models based on the approach. Among them, the Luo-Rudy dynamic (LRd) model has been one of the most famous models since it was first published by Luo and Rudy in 1991. In this paper, the theory of LRd cell model and its ability for investigating several cellular arrhythmogenic pathologies in cardiac cells will be reviewed. In conclusion,theLRdcellmodelbasedonmathematicalapproachisapowerfulmethodwhichcanhelprecognizeand investigate the interactions between individual components of the cell and study their unique role underlying the whole-cell behavior.
Axisymmetric flow of a generalized Newtonian fluid in a straight pipe using a director theory approach

The aim of this paper is to analyze the axisymmetric unsteady flow of an incompressible generalized Newtonian fluid in a straight rigid and impermeable tube with circular cross-section of constant radius. To study this problem, we use an approach based on the Cosserat theory (also called director theory) related to fluid dynamics which reduces the exact three-dimensional equations to a system depending only on time and on a single spatial variable. From this system we obtain for a flow without swirling motion the relationship between mean pressure gradient and volume flow rate over a finite section of the pipe for the specific case of the power law viscosity function. Moreover, we compare the 3D exact solution for steady volume flow rate with the corresponding solution obtained by the Cosserat theory using nine directors.
Integrating Conflict: A Proposed Framework for the Interdisciplinary Study of Workplace Conflict and Its Management

This article contributes to existing conflict research by proposing a theoretical framework capable of integrating findings and insights across distinct disciplines. The author utilizes the Kochan, Katz, and McKersie (1986) three-tiered industrial relations framework and demonstrates its unique capacity to situate and organize what we know about conflict and to highlight areas that have been neglected as a result of disciplinary fragmentation. The article reviews key themes, findings, and insights advanced by organizational behavior, industrial relations, and legal scholars. The author identifies the barriers associated with disciplinary boundaries and the costs these have had in terms of our current understanding of conflict in organizations. This review also examines potential areas of integration in the study of conflict and their implications for existing scholarship. Finally, the author proposes theoretical linkages that stem from the integration of conflict insights across disciplines, which serve as the basis for a future research agenda.