Miracle-dz/UniFAR-FTUs huggingface dataset:
Pre-service teachers ‟ evaluations of practices in teaching English to young learners in terms of 21 st century teacher qualifications

This study investigates the 3 rd year and 4 th year pre-service teachers‟ evaluations of the practices in teaching English to young learners in terms of 21 st century teacher qualifications. Employing a mixed methods design, this study includes the qualitative data that come from semi-structured interviewed questions administered to pre-service teachers in five different English Language Teaching programmes. The quantitative data come from the content analysis of the course “Teaching English to Young Learners” syllabi in these universities. The findings indicate that pre-service teachers have individual learning needs mainly on organizational skills, the use of technology, and characteristics of young learners. The current syllabi for the course are found to be ineffective in preparing pre-service teachers for 21 st century teacher qualifications. This study also discusses pre-service teachers‟ readiness levels as a 21 st century teacher to teach young learners English. Suggestions are made for the course content and to promote 21 st century teacher qualifications at pre-service level. © 2017 JLLS and the Authors Published by JLLS.
Dependency and Coordination in the Grammar of Dutch and English

It is argued that a wide range of extraction and co6rdination phenomena in English can be accounted for by a simple extension of Categorial Grammar. The same extension will account for a similar range of related phenomena in Dutch, including certain notorious cases of 'intersecting' dependency among discontinuous constituents of Dutch infinitival complements. Some universal implications of the theory are considered, and the relation of such grammars to processors which carry out incremental semantic interpretation is discussed. *
Using XML/XMI for tool supported evolution of UML models

Software components developed with modern tools and middleware infrastructures undergo considerable reprogramming before they become reusable. Tools and methodologies are needed to cope with the evolution of software components. We present some basic concepts and architectures to handle the impacts of the evolution of UML models. With the proposed concepts an infrastructure to support model evolution, data schema migration, and data instance migration based on UML models can be realized. To describe the evolution path we use XML/XMI files.
Matrix Factorization with Side and Higher Order Information

The problem of predicting unobserved entries of a partially observed matrix has found wide applicability in several areas, such as recommender systems, computational biology, and computer vision. Many scalable methods with rigorous theoretical guarantees have been developed for algorithms where the matrix is factored into low-rank components, and embeddings are learned for the row and column variables. While there has been recent research on incorporating explicit side information in the low-rank matrix factorization setting, often implicit information can be gleaned from the data, via higher order interactions among variables. In this paper, we design a method to make use of this implicit information, via random walks on graphs. We show that the problem we intend to solve can be cast as factoring a nonlinear transform of the (partially) observed matrix and develop an efficient coordinate descent based algorithm for the same. Experiments on several datasets show that the method we propose outperforms vanilla matrix factorization, and also those methods that use explicitly available side information.
Competing orders in a magnetic field: Spin and charge order in the cuprate superconductors

We describe two-dimensional quantum spin fluctuations in a superconducting Abrikosov flux lattice induced by a magnetic field applied to a doped Mott insulator. Complete numerical solutions of a self-consistent large-N theory provide detailed information on the phase diagram and on the spatial structure of the dynamic spin spectrum. Our results apply to phases with and without long-range spin-density-wave order, and to the magnetic quantum critical point separating these phases. We discuss the relationship of our results to a number of recent neutron-scattering measurements on the cuprate superconductors in the presence of an applied field. We compute the pinning of static charge order by the vortex cores in the "spin-gap" phase where the spin order remains dynamically fluctuating, and argue that these results apply to recent scanning-tunneling-microscopy (STM) measurements. We show that, with a single typical set of values for the coupling constants, our model describes the field dependence of the elastic-neutron-scattering intensities, the absence of satellite Bragg peaks associated with the vortex lattice in existing neutron-scattering observations, and the spatial extent of charge order in STM observations. We mention implications of our theory for NMR experiments. We also present a theoretical discussion of more exotic states that can be built out of the spin- and charge-order parameters, including spin nematics and phases with "exciton fractionalization".
Urban acoustic imaging : from measurement to the soundscape perception evaluation

Characterising the urban sonic environment is usually done by measuring the energetic indicators such as the average A-weighted level. The European 2002/49/EC directive compels large cities to establish noise maps and pursue action plans aimed at reducing the percentage of citizens exposed to excessive noise levels. In parallel the soundscape concept introduced by Raymond Murray Schafer aims to quantify the urban sonic environment with a global approach taking into account the nature of sources, the context of listening or the habituation. In a complementary approach, our work seeks to quantify the urban soundscape locally using acoustic level maps produced using antennas with a very large number of microphones (up to 256). This method seeks to detect and locate the numerous sources potentially present in the area of interest, but also to assess their instantaneous and averaged acoustic level and spectrum. This paper presents the experimental setup implementing acoustic arrays based on digital MEMS microphones together with their digital recording system. We present the analysis of a benchmarking campaign led to build a database characterizing various vehicles in different urban-like scenarios. Finally, we investigate new methods so as to combine these objective data and improved annoyance models.
Gender Stereotypes and Negotiation Performance:An Examination of Theory and Research

In the first textbook in the field of negotiation,The Social Psychology of Bargaining and Negotiation,the author tackles the different negotiation strategy of males and females.Recently,many researchers have studied on this issue.They identified five major theoretical perspectives,namely,focal negotiator,negotiation partner,negotiating dyad interaction,situation,focal negotiator-situation.Future studies need to stretch further in the depth and breadth in the key theories,methodologies and applications.
Realising Anticipatory Networks through Human Aware Networking ( HAN )

Telecommunication networks currently follow the reactive approach; that is, network conditions change based on current behaviour of users and state of network resources. However, network efficiency and resource optimization can increase manifold, if the networks had the capability to anticipate behaviour of users and their network utilization. This vision, thus far, has remained largely theoretical. However, considering research in ubiquitous computing and machine learning with respect to: i) understanding user behaviour patterns, ii) establishment of user behaviour models and iii) anticipation of future user behaviour based on the established behaviour model, the vision of anticipatory networks comes closer to reality. The realisation of this vision will be a result of amalgamating human behaviour research in ubiquitous computing that through anticipation of user behaviour will be a key element in network resources optimisation. We call this vision, Human-Aware networking (HAN). Keywords—human aware networking; network performance; network optimisation; user behaviour analysis; user behaviour
DSL-based support for semi-automated architectural component model abstraction throughout the software lifecycle

In this paper we present an approach for supporting the semi-automated abstraction of architectural models throughout the software lifecycle. It addresses the problem that the design and the implementation of a software system often drift apart as software systems evolve, leading to architectural knowledge evaporation. Our approach provides concepts and tool support for the semi-automatic abstraction of architectural knowledge from implemented systems and keeping the abstracted architectural knowledge up-to-date. In particular, we propose architecture abstraction concepts that are supported through a domain-specific language (DSL). Our main focus is on providing architectural abstraction specifications in the DSL that only need to be changed, if the architecture changes, but can tolerate non-architectural changes in the underlying source code. The DSL and its tools support abstracting the source code into UML component models for describing the architecture. Once the software architect has defined an architectural abstraction in the DSL, we can automatically generate UML component models from the source code and check whether the architectural design constraints are fulfilled by the models. Our approach supports full traceability between source code elements and architectural abstractions, and allows software architects to compare different versions of the generated UML component model with each other. We evaluate our research results by studying the evolution of architectural abstractions in different consecutive versions and the execution times for five existing open source systems.
Altered effect of dopamine transporter 3'UTR VNTR genotype on prefrontal and striatal function in schizophrenia.

CONTEXT The dopamine transporter plays a key role in the regulation of central dopaminergic transmission, which modulates cognitive processing. Disrupted dopamine function and impaired executive processing are robust features of schizophrenia. OBJECTIVE To examine the effect of a polymorphism in the dopamine transporter gene (the variable number of tandem repeats in the 3' untranslated region) on brain function during executive processing in healthy volunteers and patients with schizophrenia. We hypothesized that this variation would have a different effect on prefrontal and striatal activation in schizophrenia, reflecting altered dopamine function. DESIGN Case-control study. SETTING Psychiatric research center. PARTICIPANTS Eighty-five subjects, comprising 44 healthy volunteers (18 who were 9-repeat carriers and 26 who were 10-repeat homozygotes) and 41 patients with DSM-IV schizophrenia (18 who were 9-repeat carriers and 23 who were 10-repeat homozygotes). MAIN OUTCOME MEASURES Regional brain activation during word generation relative to repetition in an overt verbal fluency task measured by functional magnetic resonance imaging. Main effects of genotype and diagnosis on activation and their interaction were estimated with analysis of variance in SPM5. RESULTS Irrespective of diagnosis, the 10-repeat allele was associated with greater activation than the 9-repeat allele in the left anterior insula and right caudate nucleus. Trends for the same effect in the right insula and for greater deactivation in the rostral anterior cingulate cortex were also detected. There were diagnosis x genotype interactions in the left middle frontal gyrus and left nucleus accumbens, where the 9-repeat allele was associated with greater activation than the 10-repeat allele in patients but not controls. CONCLUSIONS Insular, cingulate, and striatal function during an executive task is normally modulated by variation in the dopamine transporter gene. Its effect on activation in the dorsolateral prefrontal cortex and ventral striatum is altered in patients with schizophrenia. This may reflect altered dopamine function in these regions in schizophrenia.
Stability boundary for haptic rendering: Influence of human operator

Recent analysis on the stability boundary for haptic rendering assumed a stabilizing effect through a human operator holding a haptic device, without considering his/her dynamics directly. This paper derives stability boundaries of a linear model of a haptic system including those dynamics. It shows that all three elements of the human arm modeled as mass-spring-damper system contribute to stability. The haptic system itself is composed of a haptic device colliding with a virtual wall modeled as time-delayed discrete-time spring-damper system. Furthermore, the article proves that the recently found linear stability condition for haptic devices of Gil et al. still holds if a human is holding the haptic device. Finally, a relation to Colgatepsilas passivity condition defining a robustly stable region is given.
Learning Biological Processes with Global Constraints

Biological processes are complex phenomena involving a series of events that are related to one another through various relationships. Systems that can understand and reason over biological processes would dramatically improve the performance of semantic applications involving inference such as question answering (QA) ‐ specifically “How? ” and “Why? ” questions. In this paper, we present the task of process extraction, in which events within a process and the relations between the events are automatically extracted from text. We represent processes by graphs whose edges describe a set of temporal, causal and co-reference event-event relations, and characterize the structural properties of these graphs (e.g., the graphs are connected). Then, we present a method for extracting relations between the events, which exploits these structural properties by performing joint inference over the set of extracted relations. On a novel dataset containing 148 descriptions of biological processes (released with this paper), we show significant improvement comparing to baselines that disregard process structure.
Ruminal Microbial Protein Synthesis in Sheep Fed Forages of Varying Nutritive Values

Six wethers, fitted with ruminal and duodenal cannulae, were utilized in a 6 x 6 Latin Square metabolism trial to determine efficiency of microbial protein synthesis in the rumen of sheep fed forages with varying nutritional quality. Ground alfalfa hay, oat-berseem clover hay, and baled corn crop residues were fed at an ad libitum or limited intake level. Chromium-mordanted fiber, cobaltEDTA, and purines were used to determine digesta flow and solid passage rate, dilution rate, and microbial protein production, respectively. Sheep fed alfalfa hay had greater organic matter (OM) intakes, and amounts of OM apparently and truly ruminally digested (g/d; P < .05) than sheep fed either oat-berseem clover or corn crop residues at the ad libitum intake level. Rates of slow solid and liquid passage, and postfeeding ruminal ammonia-nitrogen (N) and volatile fatty acids (VFA) concentrations were lower (P < .05) in sheep fed corn crop residues than those fed alfalfa or oat-berseem clover hay. Total duodenal flows (g/d) and efficiencies of ruminal synthesis (g crude protein/100 g of OM truly digested; P < .05) of microbial protein were less in sheep fed corn crop residues than in sheep fed alfalfa, and oatberseem clover ad libitum. Whereas total duodenal microbial-N flow was related to organic matter intake (OMI; r = .97) and OM truly digested in the rumen (OMTDR; r = .97), microbial efficiency was related to g of nitroge truly digested in the rumen (NTDR)/100 g of OMTDR (r = .82) and slow solid passage rate (r = .91).
A Survey on PageRank Computing

This survey reviews the research related to PageRank computing. Components of a PageRank vector serve as authority weights for web pages independent of their textual content, solely based on the hyperlink structure of the web. PageRank is typically used as a web search ranking component. This defines the importance of the model and the data structures that underly PageRank processing. Computing even a single PageRank is a difficult computational task. Computing many PageRanks is a much more complex challenge. Recently, significant effort has been invested in building sets of personalized PageRank vectors. PageRank is also used in many diverse applications other than ranking. We are interested in the theoretical foundations of the PageRank formulation, in the acceleration of PageRank computing, in the effects of particular aspects of web graph structure on the optimal organization of computations, and in PageRank stability. We also review alternative models that lead to authority indices similar to PageRank and the role of such indices in applications other than web search. We also discuss linkbased search personalization and outline some aspects of PageRank infrastructure from associated measures of convergence to link preprocessing.
Product Market Reform and Innovation in the EU

European Union countries have implemented widespread reforms to productmarkets in order to stimulate competition, innovation and economic growth. We provideempirical evidence that the reforms carried out under the EU Single Market Programme(SMP) were associated with increased product market competition, as measured by areduction in average profitability, and with a subsequent increase in innovation intensityand productivity growth for manufacturing sectors. In our analysis we exploit exogenousvariation in the expected impact of the SMP across countries and industries to identify theeffects of reforms on average profitability, and the effects of profitability on innovationand productivity growth. European Union countries have implemented widespread reforms to productmarkets in order to stimulate competition, innovation and economic growth. We provideempirical evidence that the reforms carried out under the EU Single Market Programme(SMP) were associated with increased product market competition, as measured by areduction in average profitability, and with a subsequent increase in innovation intensityand productivity growth for manufacturing sectors. In our analysis we exploit exogenousvariation in the expected impact of the SMP across countries and industries to identify theeffects of reforms on average profitability, and the effects of profitability on innovationand productivity growth.
The state of HIV testing in Canada : A systematic review

In Canada, a substantial proportion of people with HIV are unaware they are infected and many are not learning about their HIV status until late in their disease. These individuals can be at higher risk of poor health and may be more likely to pass HIV to others. Diagnosing people as early as possible after infection – by increasing uptake and frequency of HIV testing – is critical to improving the health of people with HIV and reducing the number of new HIV transmissions.
Connecting Poverty, Culture, and Cognition: The Bridges Out of Poverty Process

ABSTRACT This article highlights how one nonprofit organization deals with the controversial issue of culture and poverty through its interactions with low-income individuals. Through interviews and participant observation, we analyze its curriculum and process, which focuses on helping participants become more reflexive by analyzing their past life and potential futures through a social class analysis. At the same time, we discuss a key theoretical debate over culture and action/agency. Specifically, we examine the distinction between practical and discursive consciousness (or declarative and non-declarative culture), and issues of agency. We show how this theoretical process is accomplished in the organization by providing people with the opportunity to change their habits, skills, “cultured capacities” and “repertoires,” which can help them get out of poverty. We also show other factors, such as social support, are crucial and how the overall process works more for some than for others.
Toward a unifying taxonomy and definition for meditation

One of the well-documented concerns confronting scholarly discourse about meditation is the plethora of semantic constructs and the lack of a unified definition and taxonomy. In recent years there have been several notable attempts to formulate new lexicons in order to define and categorize meditation methods. While these constructs have been useful and have encountered varying degrees of acceptance, they have also been subject to misinterpretation and debate, leaving the field devoid of a consensual paradigm. This paper attempts to influence this ongoing discussion by proposing two new models which hold the potential for enhanced scientific reliability and acceptance. Regarding the quest for a universally acceptable taxonomy, we suggest a paradigm shift away from the norm of fabricatIng new terminology from a first-person perspective. As an alternative, we propose a new taxonomic system based on the historically well-established and commonly accepted third-person paradigm of Affect and Cognition, borrowed, in part, from the psychological and cognitive sciences. With regard to the elusive definitional problem, we propose a model of meditation which clearly distinguishes “method” from “state” and is conceptualized as a dynamic process which is inclusive of six related but distinct stages. The overall goal is to provide researchers with a reliable nomenclature with which to categorize and classify diverse meditation methods, and a conceptual framework which can provide direction for their research and a theoretical basis for their findings.
Molecular Genetic Studies of Porcine Genes for Obesity

The similarities between humans and pigs at the physiological and genomic levels can provide advantages for the use of the pig as a genetic model for human obesity. Several approaches have been used to identify chromosomal regions or genes affecting obesity-related phenotypes in pigs. Current approaches include the use of candidate genes, quantitative trait loci (QTL) scanning, and gene transcript profiling. Many pig populations have been generated from crosses between breeds with different genetic backgrounds, and QTL analyses in these populations have identified several major pig chromosomal regions that influence obesityrelated phenotypes. Homologous human chromosomal regions might be potentially important for genetic causes of human obesity. A single nucleotide polymorphism (SNP) causing an amino acid substitution in the porcine melanocortin-4 receptor (MC4R) gene was significantly associated with increased levels of backfat and similar MC4R mutations resulted in several cases of human obesity. In addition, we have identified several polymorphisms (SNPs) in other candidate genes that are associated with obesity phenotypes. Further analyses of these SNPs will be useful for dissecting the genetics of human obesity. Other published research has included the use of human microarrays to study gene expression in various tissues at different growth stages between young pigs with extremes in fat content. Many of these genes may play a significant role in obesity. New research to integrate these QTL studies, candidate gene discovery, and transcript profiling in pigs can provide novel insights into the genetic components of human obesity and their molecular and physiological mechanisms.