pinecone/core-2020-05-10-deduplication huggingface dataset:
Dynamic response of underpasses for high-speed train lines

Underpasses are common in modern railway lines. Wildlife corridors and drainage conduits often fall into this category of partially buried structures. Their dynamic behavior has received far less attention than that of other structures such as bridges, but their large number makes their study an interesting challenge from the viewpoint of safety and cost savings. Here, we present a complete study of a culvert, including on-site measurements and numerical modeling. The studied structure belongs to the high-speed railway line linking Segovia and Valladolid in Spain. The line was opened to traffic in 2004. On-site measurements were performed for the structure by recording the dynamic response at selected points of the structure during the passage of high-speed trains at speeds ranging between 200 and 300 km/h. The measurements provide not only reference values suitable for model fitting, but also a good insight into the main features of the dynamic behavior of this structure. Finite element techniques were used to model the dynamic behavior of the structure and its key features. Special attention is paid to vertical accelerations, the values of which should be limited to avoid track instability according to Eurocode. This study furthers our understanding of the dynamic response of railway underpasses to train loads
Adoption of inflation targeting and tax revenue performance in emerging market economies: An empirical investigation

Inflation targeting is a monetary policy framework which was adopted by several emerging countries over the last decade. Previous empirical studies suggest that inflation targeting has significant effects on either inflation or inflation variability in emerging targeting countries. But, by reinforcing the disinflation process and so, by reducing drastically seigniorage revenue, the adoption of this monetary policy framework could also affect the design of fiscal policy. In a recent paper, Minea and Villieu (2009a) show theoretically that inflation targeting provides an incentive for governments to improve institutional quality in order to enhance tax revenue performance. In this paper, we test this theoretical prediction by investigating whether the adoption of inflation targeting affects the fiscal effort in emerging markets economies. Using propensity score matching methodology, we evaluate the “treatment effect” of inflation targeting on fiscal mobilization in thirteen emerging countries that have adopted this monetary policy framework by the end of 2004. Our results show that, on average, inflation targeting has a significant positive effect on public revenue collection.
An Approach to Support Negotiation Processes with Imprecise Information Multicriteria Additive Models

Abstract  This paper discusses the possible uses of the VIP (Variable Interdependent Parameters) Analysis software and methodology in negotiation support. VIP Analysis is a decision support tool that incorporates complementary approaches to deal with the aggregation of multi-criteria performances under imprecise information. Its purpose is to support the evaluation of a discrete set of alternatives according to multi-attribute additive value functions. We propose extensions of the methodology of VIP Analysis to address explicitly the differences among the actors in terms of the weights space.http://dx.doi.org/10.1007/s10726-006-9027-
Histograms and Associated Point Processes

Abstract  Nonparametric inference for point processes is discussed by way histograms, which provide a nice tool for the analysis of on-line data. The construction of histograms depends on a sequence of partitions, which we take to be nonembedded. This is quite natural in what regards applications, but presents some theoretical problems. In another direction, we drop the usual independence assumption on the sample, replacing it by an association assumption. Under this setting, we study the convergence of the histogram, in probability and almost surely which, under association, depends on conditions on the covariance structure. In the final section we prove that the finite dimensional distributions converge in distribution to a Gaussian centered vector with a specified covariance. The main tool of analysis is a decomposition of second order moment measures.http://dx.doi.org/10.1023/A:100998990259
Charge-density-wave superconductor Bi2Rh3Se2

We discovered a superconducting transition with the charge-density-wave state in a ternary compound Bi2Rh3Se2. This compound crystallizes in the parkerite-type structure composed of sheets containing one-dimensional Rh-Rh chains. The electrical resistivity, magnetic susceptibility, thermoelectric power, sample length change, and x-ray diffraction measurements reveal that this compound is in the CDW state below 240  K. Furthermore, the specific heat and electrical resistivity measurements show a superconducting transition at ~0.7  K. The various superconducting parameters were determined, and the GL parameter (0) shows the considerably large value of 151 indicating an extreme type-II superconductor
User-interface to a CCTV video search system

The proliferation of CCTV surveillance systems creates a problem of how to effectively navigate and search the resulting video archive, in a variety of security scenarios. We are concerned here with a situation where a searcher must locate all occurrences of a given person or object within a specified timeframe and with constraints on which camera(s) footage is valid to search. Conventional approaches based on browsing time/camera based combinations are inadequate. We advocate using automatically detected video objects as a basis for search, linking and browsing. In this paper we present a system under development based on users interacting with detected video objects. We outline the suite of technologies needed to achieve such a system and for each we describe where we are in terms of realizing those technologies. We also present a system interface to this system, designed with user needs and user tasks in mind
Laser machined macro and micro structures on glass for enhanced light trapping in solar cells

In order to increase the efficiency of solar cell modules it is necessary to make the optimum use of light incident upon them. Much research has been done on improving light absorption through front surface texturisation and light trapping schemes. Laser light is commonly used in industry for various applications including marking and texturisation. By controlling laser parameters, it is possible to tailor macro and micro structures in most materials. The CO2 laser used in this investigation emits radiation at 10.6 μm with the ability to pulse in the micro-second range. The laser was used to ablate grooved textures in the fused quartz material, used in this study as the light trapping medium, following which an analysis of the effects of the laser parameters on the texture geometry and surface morphology was performed through a combination of cross sectioning and scanning electron microscopy. Transmission through the textured glass was improved for most samples after acid etching. The light trapping effects of the best performing textures were analysed by investigating the effects on a silicon solar cell’s performance at varying angles of incidence. Results indicated a significant increase in light trapping when light was incident at acute angles. For an angle of incidence of 10◦ a relative increase in efficiency of up to 51 % was observed
Darwin's Explanation of Races by Means of Sexual Selection

In _Darwin's Sacred Cause_, Adrian Desmond and James Moore contend that "Darwin would put his utmost into sexual selection because the subject intrigued him, no doubt, but also for a deeper reason: the theory vindicated his lifelong commitment to human brotherhood" (2009: p. 360).  Without questioning Desmond and Moore’s evidence, I will raise some puzzles for their view.  I will show that attention to the structure of Darwin's arguments in the Descent of Man shows that they are far from straightforward.  As Desmond and Moore note, Darwin seems to have intended sexual selection in non-human animals to serve as evidence for sexual selection in humans.  However, Darwin's account of sexual selection in humans was different from the canonical cases that Darwin described at great length.  If explaining the origin of human races was the main reason for introducing sexual selection, and if sexual selection was a key piece of Darwin's anti-slavery arguments, then it is puzzling why Darwin would have spent so much time discussing cases that did not really support his argument for the origin of human races, and it is also puzzling that his argument for the origin of human races would be so (atypically) poor
Mapping the visual landscape quality in Europe using physical attributes

he inclusion of environmental care data in the decision-making process should be based on the results obtained after scienti?cally evaluating different environmental variables. Herein, a European landscape geographic model is presented. This landscape map would allow the environmental care variable ?visual landscape?, along with other information related to vegetation, geology, soils, cultural variables, etc., to be integrated into the planning process. The methodology used is not new since it has already been tested in Spain by the authors. Nevertheless, the model was adapted to cope with the much more extensive territory of the European Union. This meant dealing with computational dif?culties, and a lack of information.\ud
 The result of this work is a raster map (100 m cell size) that evaluates landscape quality in Europe by dividing the area into seven visual quality classes. This is a practical tool for territorial development that will facilitate the environmental assessment of plans, such as infrastructure plans, within a strategic pan-European framework
On the dynamic adaptation of language models based on dialogue information

We present an approach to adapt dynamically the language models (LMs) used by a speech recognizer that is part of a spoken dialogue system. We have developed a grammar generation strategy that automatically adapts the LMs using the semantic information that the user provides (represented as dialogue concepts), together with the information regarding the intentions of the speaker (inferred by the dialogue manager, and represented as dialogue goals). We carry out the adaptation as a linear interpolation between a background LM, and one or more of the LMs associated to the dialogue elements (concepts or goals) addressed by the user. The interpolation weights between those models are automatically estimated on each dialogue turn, using measures such as the posterior probabilities of concepts and goals, estimated as part of the inference procedure to determine the actions to be carried out. We propose two approaches to handle the LMs related to concepts and goals. Whereas in the first one we estimate a LM for each one of them, in the second one we apply several clustering strategies to group together those elements that share some common properties, and estimate a LM for each cluster. Our evaluation shows how the system can estimate a dynamic model adapted to each dialogue turn, which helps to improve the performance of the speech recognition (up to a 14.82% of relative improvement), which leads to an improvement in both the language understanding and the dialogue management tasks
Nanocrack-induced leakage current in AlInN/AlN/GaN

Here we report on the study of nano-crack formation in Al1−xInxN/AlN/GaN heterostructures, on its association with composition fluctuation and on its local electrical properties. It is shown here that indium segregation at nano-cracks and threading dislocations originating from the non-pseudomorphic AlN interlayer could be the cause of the high reverse-bias gate leakage current of Ni/Au Schottky contacts on Al1−xInxN/AlN/GaN heterostructures and significantly affects the contact rectifying behavior. Segregation of indium around crack tips in Al1−xInxN acting as conductive paths was assessed with conductive atomic force microscopy
Trapping phenomena in AlGaN and InAlN barrier HEMTs with different geometries

PAPER\ud
Trapping phenomena in AlGaN and InAlN barrier HEMTs with different geometries\ud
S Martin-Horcajo1, A Wang1, A Bosca1, M F Romero1, M J Tadjer1,2, A D Koehler2, T J Anderson2 and F Calle1\ud
Published 11 February 2015 • © 2015 IOP Publishing Ltd \ud
Semiconductor Science and Technology, Volume 30, Number 3\ud
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Abstract\ud
Trapping effects were evaluated by means of pulsed measurements under different quiescent biases for GaN/AlGaN/GaN and GaN/InAlN/GaN. It was found that devices with an AlGaN barrier underwent an increase in the on-resistance, and a drain current and transconductance reduction without measurable threshold voltage change, suggesting the location of the traps in the gate-drain access region. In contrast, devices with an InAlN barrier showed a transconductance and a decrease in drain associated with a significant positive shift of threshold voltage, indicating that the traps were likely located under the gate region; as well as an on-resistance degradation probably associated with the presence of surface traps in the gate-drain access region. Furthermore, measurements of drain current transients at different ambient temperatures revealed that the activation energy of electron traps was 0.43 eV and 0.38 eV for AlGaN and InAlN barrier devices, respectively. Experimental and simulation results demonstrated the influence of device geometry on the observed trapping effects, since devices with larger gate lengths and gate-to-drain distance values exhibited less noticeable charge trapping effects
Quarkonia measurements in heavy-ion collisions in CMS

CMS IonsThe production of quarkonia is one of the most promising signals at LHC for the study of the production properties of quark gluon plasma. In addition to J/ψ the extent to which Upsilon is suppressed should give much insight into the new state of matter. The large muon acceptance and the high-precision tracker make the CMS detector ideal for studies of this physics. In this note, the performance of the CMS detector for quarkonia measurements in heavy-ion collisions in the dimuon channel is presented. Dimuon reconstruction efficiencies and mass resolution are calculated using detailed detector simulation. Mass spectra and signal to background ratios are estimated with a fast Monte Carlo program. Results obtained with the fast Monte Carlo program are compared with more detailed simulations
Immediate and delayed effects of invented writing intervention in preschool

This study examined the effects of a 10 week invented writing program with five-year-old preschoolers (mean age 5.7 years) on their immediate post intervention literacy skills and also the facilitative effects of the intervention on the subsequent learning to read during the first 6 months of schooling. The study included 105 children (54 girls) from 12 preschools in Norway. The preschools were randomly assigned to the experimental group with the invented writing program, or the control group with the ordinary program offered to preschoolers. The classroom-based programs (40 sessions) were conducted by the children’s regular teachers. The children’s emergent literacy skills were evaluated using a pre-test, a post-test and a follow-up test 6 months later, and the data were analyzed using latent autoregressive models. The results showed that the invented writing group performed significantly better than the control group on the post-test for the measures of phoneme awareness (d = .54), spelling (d = .65) and word reading (d = .36). Additionally, indirect effects were observed on the delayed follow-up tests on phoneme awareness (d = .45), spelling (d = .48) and word reading (d = .26). In conclusion, we argue that invented writing appeared to smooth the progress of emergent literacy skills in preschool, including the subsequent reading development in school. Contextualized in a semi-consistent orthography and a preschool tradition that does not encourage the learning of written language skills, the findings add to our knowledge of how children learn to write and read
One mechanism, many models: a distributed theory of mechanistic explanation

There have been recent disagreements in the philosophy of neuroscience regarding which sorts of scientific models provide mechanistic explanations, and which do not (e.g. computational models, dynamical models, topological models). These disagreements often hinge on two commonly adopted, but conflicting, ways of understanding mechanistic explanations: what I call the “representation-as” account, and the “representation-of” account. In this paper, I argue that neither account does justice to neuroscientific practice. In their place, I offer a new alternative that can defuse some of these disagreements. I argue that individual models do not provide mechanistic explanations by themselves (regardless of what type of model they are). Instead, individual models are always used to complement a huge body of background information and pre-existingmodels about the target system.With this in mind, I argue that mechanistic explanations are distributed across sets of different, and sometimes contradictory, scientific models. Each of these models contributes limited, but essential, information to the same mechanistic explanation, but none can be considered a mechanistic explanation in isolation of the others
The rapamycin-sensitive phosphoproteome reveals that TOR controls protein kinase A toward some but not all substrates

Regulation of cell growth requires extensive coordination of several processes including transcription, ribosome biogenesis, translation, nutrient metabolism, and autophagy. In yeast, the protein kinases Target of Rapamycin (TOR) and protein kinase A (PKA) regulate these processes and are thereby the main activators of cell growth in response to nutrients. How TOR, PKA, and their corresponding signaling pathways are coordinated to control the same cellular processes is not understood. Quantitative analysis of the rapamycin-sensitive phosphoproteome combined with targeted analysis of PKA substrates suggests that TOR complex 1 (TORC1) activates PKA but only toward a subset of substrates. Furthermore, we show that TORC1 signaling impinges on BCY1, the negative regulatory subunit of PKA. Inhibition of TORC1 with rapamycin leads to BCY1 phosphorylation on several sites including T129. Phosphorylation of BCY1 T129 results in BCY1 activation and inhibition of PKA. TORC1 inhibits BCY1 T129 phosphorylation by phosphorylating and activating the S6K homolog SCH9 that in turn inhibits the MAP kinase MPK1. MPK1 phosphorylates BCY1 T129 directly. Thus, TORC1 activates PKA toward some substrates by preventing MPK1-mediated activation of BCY1
Resveratrol disrupts peroxynitrite-triggered mitochondrial apoptotic pathway: a role for Bcl-2

Abstract  Resveratrol (3,4',5-trihydroxystilbene) is a phytochemical believed to be partly responsible for the cardioprotective effects of red wine due to its numerous biological activities. Here, we studied biochemical pathways underlying peroxynitrite-mediated apoptosis in endothelial cells and potential mechanisms responsible for resveratrol cytoprotective action. Peroxynitrite triggered endothelial cell apoptosis through caspases-8, -9 and -3 activation implying both mitochondrial and death receptor apoptotic pathways. Resveratrol was able to prevent peroxynitrite-induced caspases-3 and -9 activation, but not caspase-8 activation. Additionally, peroxynitrite increased intracellular levels of Bax without affecting those of Bcl-2, increasing consequently the Bax/Bcl-2 ratio. This ratio decreased when cells where pre-incubated with 10 and 50 µM resveratrol, mainly due to resveratrol ability per se to increase Bcl-2 intracellular levels without affecting Bax intracellular levels. These results propose an additional mechanism whereby resveratrol may exert its cardioprotective effects and suggest a key role for Bcl-2 in the resveratrol anti-apoptotic action, especially in disrupting peroxynitrite-triggered mitochondrial pathway.http://dx.doi.org/10.1007/s10495-008-0235-
Patterns of parental emotional reactions after a pre- or postnatal diagnosis of a congenital anomaly

Objective: This study aimed to describe parental reactions at disclosure of a diagnosis of congenital anomaly and to investigate both the existence of distinct patterns of intensity of reactions and their association with post-diagnosis psychosymptomatology. Background: When receiving the news of a pre- or postnatal diagnosis of congenital anomaly, parents usually display acute grief reactions. However, questions arise regarding the variability and intensity of those reactions and their clinical significance. Method: Fifty-one women and 42 men whose infants were diagnosed with a congenital anomaly completed, one month after the disclosure, the Brief Symptom Inventory-18 and retrospectively evaluated their emotional experience at disclosure. Results: Negative emotions, and also hope, were experienced with greater intensity at disclosure. There was variability of emotional reactions, as two distinct patterns were identified: one pattern fits the acute grief reactions pattern, and another of less-intense emotional reactions. No gender differences were found on emotional reactions. Higher-intensity reactions at disclosure were associated with more psychosymptomatology one-month later only for fathers. Conclusion: Findings suggest the need for healthcare professionals to adjust their practice to meet parental needs in the early post-diagnosis stage. Both parents should be given the opportunity to express their emotions as a couple and individually