Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact Of Neurological Fatigue On Linguistic Choices After TBI

Traumatic brain injury (TBI) is one of the leading causes of death or long-term disability in the United States. Individuals with these injuries must adapt to significant changes in neurological functioning, and oftentimes attention, memory, and processing difficulties mean that these individuals feel overwhelmed by the onslaught of information provided by the outside world, leading to mental fatigue. Mental fatigue, a common consequence of a TBI, may influence an individual’s ability to participate effectively in previous everyday work and social activities. Thus, it is not surprising that many individuals with TBI report significant fatigue. Research in the area of fatigue post injury has indicated that there is a relationship between fatigue and physical, cognitive, emotional, and social factors. Individuals with linguistic difficulties due to TBI related fatigue may experience difficulty with functional language, and understanding these deficits is critical for speech-language pathologists, who must understand the implications of fatigue on a client’s ability to communicate effectively. Systemic functional linguistics (SFL) is a theory of language use that focuses heavily on linguistic choices as influenced by social context. This research used principles from SFL to investigate the language use of one individual after a moderate-severe TBI. The individual’s interactions were analyzed to examine changes in her ability to successfully negotiate interactions that are secondary to the effects of fatigue. Overall findings indicated significant differences in the participant’s use of modality and appraisal between non-fatigued and fatigued samples. Differences include increases in the participant’s use of inclination and potential in modal auxiliaries, which demonstrate the participant’s aspirational tone during non-fatigued language samples, as well as increases in negative appraisal during fatigued samples, demonstrating negative emotional involvement in these exchanges. These differences are discussed in light of assessment and self-reported survey results and implications for treatment are outlined.
Abundances of carbon-enhanced metal-poor stars as constraints on their formation

Context. An increasing fraction of carbon-enhanced metal-poor (CEMP) stars is found as their iron abundance, [Fe/H], decreases below [Fe/H] = −2.0. The CEMP-s stars have the highest absolute carbon abundances, [C/H], and are thought to owe their enrichment in carbon and the slow neutron-capture (s-process) elements to mass transfer from a former asymptotic giant branch (AGB) binary companion. The most Fe-poor CEMP stars are normally single, exhibit somewhat lower [C/H] than CEMP-s stars, but show no s-process element enhancement (CEMP-no stars). Abundance determinations of CNO offer clues to their formation sites. Aims. Our aim is to use the medium-resolution spectrograph X-Shooter/VLT to determine stellar parameters and abundances for C, N, Sr, and Ba in several classes of CEMP stars in order to further classify and constrain the astrophysical formation sites of these stars. Methods. Atmospheric parameters for our programme stars were estimated from a combination of V −K photometry, model isochrone fits, and estimates from a modified version of the SDSS/SEGUE spectroscopic pipeline. We then used X-Shooter spectra in conjunction with the 1D local thermodynamic equilibrium spectrum synthesis code MOOG, 1D ATLAS9 atmosphere models to derive stellar abundances, and, where possible, isotopic 12 C/ 13 C ratios. Results. Abundances (or limits) of C, N, Sr, and Ba are derived for a sample of 27 faint metal-poor stars for which the X-Shooter spectra have sufficient signal-to-noise ratios (S/N). These moderate resolution, low S/ N( ∼10−40) spectra prove sufficient to perform limited chemical tagging and enable assignment of these stars into the CEMP subclasses (CEMP-s and CEMP-no). According to the derived abundances, 17 of our sample stars are CEMP-s and 3 are CEMP-no, while the remaining 7 are carbon-normal. For four CEMP stars, the subclassification remains uncertain, and two of them may be pulsating AGB stars. Conclusions. The derived stellar abundances trace the formation processes and sites of our sample stars. The [C/N] abundance ratio is useful for identifying stars with chemical compositions unaffected by internal mixing, and the [Sr/Ba] abundance ratio allows us to distinguish between CEMP-s stars with AGB progenitors and the CEMP-no stars. Suggested formation sites for the latter include faint supernovae with mixing and fallback and/or primordial, rapidly-rotating, massive stars (spinstars). X-Shooter spectra have thus proved to be valuable tools in the continued search for their origin.
Bridging Science and Practice

ABSTRACT A trend in community-based evaluation studies is to include everyone affected by the work, the community, administrators and participants, in their design and implementation. This concept has been accepted by communities and community evaluators, but a concern persists that the scientific integrity, reliability, and validity of these studies are compromised. To address these concerns we present both the multi-conceptual and hands-on practical aspects of the Integrated Model of Community Based Evaluation (IMCBE) and illustrate the utility of the IMCBE with the case example of the Sickle Cell Disease Association of the Piedmont's (Greensboro, North Carolina) Home Health Study (HHS). The IMCBE is conceptually sound and joins social scientific rigor with an understanding of the elements essential to addressing community members' and agencies' need for meaningful outcomes that determine the efficiency and effectiveness of their efforts. The IMCBE promotes a “best fit” approach of adapting the evaluation to the unique problem or intervention to be examined.
Replica Technique for Adaptive Refresh Timing of Gain-Cell-Embedded DRAM

Gain cells have recently been shown to be a viable alternative to static random access memory in low-power applications due to their low leakage currents and high density. The primary component of power consumption in these arrays is the dynamic power consumed during periodic refresh operations. Refresh timing is traditionally set according to a worst-case evaluation of retention time under extreme process variations, and worst-case access statistics, leading to frequent power-hungry refresh cycles. In this brief we present a replica technique for automatically tracking the retention time of a gain-cell-embedded dynamic-random-access-memory macrocell according to process variations and operating statistics, thereby reducing the data retention power of the array. A 2-kb array was designed and fabricated in a mature 0.18-μm CMOS process, appropriate for integration in ultralow power applications, such as biomedical sensors. Measurements show efficient retention time tracking across a range of supply voltages and access statistics, lowering the refresh frequency by more than 5×, as compared with traditional worst-case design.
MULTI RESOLUTION ENHANCED ORTHOGONAL POLYNOMILAS BASED AUTOCORRELOGRAM FOR COLOR IMAGE RETRIEVAL

This paper proposes a simple color image retrieval method based on multi resolution enhanced orthogonal polynomials model. In the proposed method, a set of orthogonal polynomials has been chosen and the model coefficients are reordered into multiresolution subband like structure. The subband coefficients are quantized into three levels. Then the weighted autocorrelogram is computed from the quantized subbands in R, G and B color space. The obtained weighted autocoorelogram is termed as global color feature vector and are normalized with Z score normalization. This feature vector is used for retrieving similar images with weighted Manhattan distance metric. The efficiency of the proposed method is experimented on a subset of standard COREL database and the results are compared with existing techniques. The proposed method yields significant retrieval results.
Evolving a Vision-Based Line-Following Robot Controller

This paper presents an original framework for evolving a vision-based mobile robot controller using genetic programming. This framework is built on the Open BEAGLE framework for the evolutionary computations, and on OpenGL for simulating the visual environment of a physical mobile robot. The feasibility of this framework is demonstrated through a simple, yet non-trivial, line following problem.
Characteristics of Bamboo Leaf Ash Stabilization on Lateritic Soil in Highway Construction

This research was carried out to study the characteristics of bamboo leaf ash stabilization on lateritic soil in highway construction. Preliminary tests were performed on three samples, A, B, and C for identification and classification purposes followed by the consistency limit tests. Geotechnical property tests (compaction, California bearing ratio (CBR), and triaxial) were also performed on the samples, both at the stabilized and unstabilized states by adding 2, 4, 6, 8 and 10% bamboo leaf ash (BLA) by weight of sample to the soils. The results showed that the addition of BLA improved the strengths of the samples. Optimum moisture contents reduced to 20.20, 19.60 and 9.32% at 8, 4 and 6% BLA additions in samples A, B and C respectively while MDD increased to 1400, 1676 and 1941 kg/m 3 respectively at 8, 2 and 4% BLA additions in samples A, B, and C. The unsoaked CBR values of samples A and B increased from 5.44 to 38.21% and from 11.42 to 34.99% respectively. The shear strengths of samples A and B also increased from 181.31 to 199.00 kN/m 2 and from 144.81 to 155.90 kN/m 2 respectively. It was therefore concluded that bamboo leaf ash has a good potential for stabilizing lateritic soils in highway construction.
Absence of the p75 Neurotrophin Receptor Alters the Pattern of Sympathosensory Sprouting in the Trigeminal Ganglia of Mice Overexpressing Nerve Growth Factor

Sympathetic axons invade the trigeminal ganglia of mice overexpressing nerve growth factor (NGF) (NGF/p75+/+mice) and surround sensory neurons having intense NGF immunolabeling; the growth of these axons appears to be directional and specific (Walsh and Kawaja, 1998). In this investigation, we provide new insight into the neurochemical features and receptor requirements of this sympathosensory sprouting. Using double-antigen immunohistochemistry, we demonstrate that virtually all (98%) trigeminal neurons that exhibit a sympathetic plexus are trk tyrosine kinase receptor (trkA)-positive. In addition, the majority (86%) of those neurons enveloped by sympathetic fibers is also calcitonin gene-related peptide (CGRP)-positive; a smaller number of plexuses (14%) surrounded other somata lacking this neuropeptide. Our results show that sympathosensory interactions form primarily between noradrenergic sympathetic efferents and the trkA/CGRP-expressing sensory somata. To assess the contribution of the p75 neurotrophin receptor (p75NTR) in sympathosensory sprouting, a hybrid strain of mice was used that overexpresses NGF but lacks p75NTR expression (NGF/p75−/−mice). The trigeminal ganglia of NGF/p75−/− mice, like those of NGF/p75+/+ mice, have increased levels of NGF protein and display a concomitant ingrowth of sympathetic axons. In contrast to the precise pattern of sprouting seen in the ganglia of NGF/p75+/+ mice, sympathetic axons course randomly throughout the ganglionic neuropil of NGF/p75−/−mice, forming few perineuronal plexuses. Our results indicate that p75NTR is not required to initiate or sustain the growth of sympathetic axons into the NGF-rich trigeminal ganglia but rather plays a role in regulating the directional patterns of axon growth.
The relative influence of habitat amount and configuration on genetic structure across multiple spatial scales

Despite strong interest in understanding how habitat spatial structure shapes the genetics of populations, the relative importance of habitat amount and configuration for patterns of genetic differentiation remains largely unexplored in empirical systems. In this study, we evaluate the relative influence of, and interactions among, the amount of habitat and aspects of its spatial configuration on genetic differentiation in the pitcher plant midge, Metriocnemus knabi. Larvae of this species are found exclusively within the water-filled leaves of pitcher plants (Sarracenia purpurea) in a system that is naturally patchy at multiple spatial scales (i.e., leaf, plant, cluster, peatland). Using generalized linear mixed models and multimodel inference, we estimated effects of the amount of habitat, patch size, interpatch distance, and patch isolation, measured at different spatial scales, on genetic differentiation (FST) among larval samples from leaves within plants, plants within clusters, and clusters within peatlands. Among leaves and plants, genetic differentiation appears to be driven by female oviposition behaviors and is influenced by habitat isolation at a broad (peatland) scale. Among clusters, gene flow is spatially restricted and aspects of both the amount of habitat and configuration at the focal scale are important, as is their interaction. Our results suggest that both habitat amount and configuration can be important determinants of genetic structure and that their relative influence is scale dependent.
Diagnosis of mechanical unbalance for double cage induction motor load in time-varying conditions based on motor vibration signature analysis

This paper investigates the detectability of mechanical unbalance in double cage induction motor load using motor vibration signature analysis technique. Rotor imbalances induce specific harmonic components in electrical, electromagnetical, and mechanical quantities. Harmonic components characteristic of this category of rotor faults, issued from vibration signals analysis, are closely related to rotating speed of the rotor, which complicates its detection under non-stationary operating conditions of the motor. Firstly, experimental results were performed first under healthy and mechanical load unbalance cases, for different load levels under steady-state operating conditions to evaluate the sensitivity of motor axial vibration signature analysis (MAVSA) and motor radial vibration signature analysis (MRVSA) techniques. Secondly, and in order to overcome the limitations of the FFT analysis in time-varying conditions, a simple and effective method based on advanced use of wavelet analysis is proposed, that allows the diagnosis of mechanical load unbalance for a double cage induction machine operating under non-stationary conditions. Experimental tests were conducted for these purposes showing the effectiveness of the presented technique under time-varying operating conditions.
A Family of Finite-Dimensional Representations of Generalized Double Affine Hecke Algebras of Higher Rank

We give explicit constructions of some finite-dimensional representations of gene- ralized double affine Hecke algebras (GDAHA) of higher rank using R-matrices for Uq(slN ). Our construction is motivated by an analogous construction of Silvia Montarani in the rational case. Using the Drinfeld{Kohno theorem for Knizhnik{Zamolodchikov differential equations, we prove that the explicit representations we produce correspond to Montarani's representations under a monodromy functor introduced by Etingof, Gan, and Oblomkov.
Fusion of active phased array radars within a quick reaction time using multidimensional data association

This paper presents several approaches to realize the data association for modem multisensor data fusion systems. Therefore the requirements of data association algorithms in real multisensor data fusion systems, as applied in air trafic control or in air defence systems are discussed. Especially, the effect and possible integration methods, of the new electronically scanned array radar (ESA) are illustrated. Further, the presented algorithms are optimised to satisfy quick reaction requirements while delivering a highly reliable result @sed track).
Tourism as a discipline in light of the non-classical sociology of science

ABSTRACT Embedding the issue of the recognition of tourism by the academia in the context of the scientific identity of the researchers of tourism can bring valuable insights into the debate. Moreover, such an approach is aligned with the main assumptions of social constructionism and the non-classical sociology of science (knowledge) stemming from the paradigm theory of science formulated by Kuhn. These concepts served as the foundations for the present research, allowing for the formulation of its main hypothesis: that every academic community has the right to decide whether it accepts tourism as a separate academic discipline or not, and that there is no reason why any opinion on this matter should be imposed on everyone. Another useful piece of information can be gained by adopting an epistemological perspective in the form of the questions: will separating tourism from other disciplines make it possible for us to learn more about it? Or should we continue considering it through the prisms of other disciplines? These were the premises which drove both parts of the present research: literature query and empirical study (which featured results from researchers from all around the world), and were addressed in the conclusion.
D ec 2 00 5 Quantum Critical Point of Itinerant Antiferromagnet in Heavy Fermion

Hiroaki Kadowaki, Yoshikazu Tabata, Masugu Sato, Naofumi Aso, Stephane Raymond, and Shuzo Kawarazaki Department of Physics, Tokyo Metropolitan University, Hachioji-shi, Tokyo 192-0397, Japan Graduate School of Science, Osaka University, Toyonaka, Osaka 560-0043, Japan MSD, JASRI, 1-1-1 Kouto Mikazuki-cho Sayo-gun, Hyogo 679-5198, Japan NSL, Institute for Solid State Physics, University of Tokyo, Tokai, Ibaraki 319-1106, Japan CEA-Grenoble, DSM/DRFMC/SPSMS, 38054 Grenoble, France (Dated: August 13, 2013)
Absolute stability analysis in uncertain static fuzzy control systems with the parametric robust Popov criterion

This study analyzes the absolute stability in static fuzzy logic control systems with certain and uncertain parameters. For certain static fuzzy control systems, the absolute stability can be analyzed with Popov criterion. The uncertain parameters for absolute stability analysis include the reference input, actuator gain and interval linear plant. The parametric robust Popov criterion based on Lurpsilae systems is applied to stability analysis respect to uncertain parameters. In our work, the parametric robust Popov criterion is applied to analyze absolute stability in static fuzzy logic control systems first time. This study can provide a valuable reference in designing fuzzy control systems. Finally, numerical simulations are provided to verify the analytical results.
The use of gaan+infinitive in narratives of older bilingual children of Moroccan and Turkish descent

In this paper, I will focus on the use of the verbal cluster gaan+infinitive ‘go’ in Dutch jokes told by bilingual children aged between 6 and 13 years of Turkish and Moroccan descent. The children told these jokes at the so-called Salaam Lombok, a multicultural market which is held every year around September in the neighbourhood of Lombok/Transvaal in Utrecht. This neighbourhood is object of research within the TCULT-program (Cornips & Jongenburger 1999). The recordings took place in 1998 and the corpus is collected by all TCULTresearchers. The Moroccan and Turkish children have told their jokes in Dutch or in their native language Berber and Turkish, respectively. If we consider the Dutch jokes, it is striking that these bilingual children use the verbal cluster gaan+infinitive, as shown in (1), to a large extent (see Cornips t.a.):
Representation and Learning in Feedforward Neural Networks

This paper gives an introduction to feedforward neural networks. The aim of this paper is to present some of the basics of artiicial neural networks, with a particular emphasis on the following two central issues. The rst central issue of this paper is: in what sense do artiicial neural networks represent mathematical functions, and what mathematical functions can be (approximately) represented by an artiicial neural network? The second central issue of this paper is: what do we mean byìearning' in artiicial neural networks, and how can a network learn to (approximately) represent a given mathematical function?
PowerPoint and Learning Theories: Reaching Out to the Millennials

Our research exercise consisted of a survey conducted on 52 second year dental students to consider approaches for measuring the effectiveness of applying cognitive learning theories for teaching using technology. We did this in an effort to enhance the learning of millennial students’ using their modes of communication preferences. The Cognitive Load, Multimedia and Visual Learning Theories were employed, and student preference was tested to determine the importance of the three theories in PowerPoint presentations (PPP) with respect to millennial student preference. Results, as expected, revealed students did not value PPP slides containing text without images. Given the relatively small sample size and the selected group of students in the present study, future studies should consider students from other disciplines and from different generations before generalizations can be made.
A communication-efficient leader election algorithm in partially synchronous systems prone to crash-recovery and omission failures

Leader election is a key service for many dependable distributed systems. It eases the consistent management of replicas in current highly available computing scenarios. This paper presents a new leader election algorithm for crash-recovery and omission environments, in order to support fault-tolerant agreement protocols, e.g., Paxos. As a novelty with respect to previous works, our algorithm tolerates the occurrence of both crash-recoveries and message omissions to any process during some finite but unknown time, assuming that eventually a majority of processes in the system remains up forever and stops omitting messages among them. Also, the proposed algorithm does not rely on stable storage and is communication-efficient, i.e., eventually each process of the well-connected majority communicates only with the elected leader.
Comparison of architecture-based software reliability models

Many architecture-based software reliability models have been proposed in the past without any attempt to establish a relationship among them. The aim of this paper is to fill this gap. First, the unifying structural properties of the models are exhibited and the theoretical relationship is established. Then, the estimates provided by the models are compared using an empirical case study. The program chosen for the case study consists of almost 10,000 lines of C code divided into several components. The faulty version of the program was obtained by reinserting the faults discovered during integration testing and operational usage and the correct version was used as an oracle. A set of test cases was generated randomly accordingly to the known operational profile. The results show that 1) all models give reasonably accurate estimations compared to the actual reliability and 2) faults present in the components influence both components reliabilities and the way components interact.