933 resultados para fast timing, singlephoto-electron, frontend electronics, Time-over-Threshold, PID


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How long does it take to learn another language? How many words do you need to learn? Are languages within the reach of everybody? Which teachers would you choose and which teachers should you avoid? These are some of the questions you ask yourself when you start learning a new language.The Word Brain provides the answers. If you have learned foreign languages in the past, consider reading it. If you or your children need to learn languages in the future, you must read it. What you will discover in two hours will change for ever the way you see languages and language learning. The principles of The Word Brain are timeless. Our children’s grandchildren will follow them when they discover the people of our planet.

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Background:Cardiovascular diseases (CVDs) are the leading cause of death worldwide. Knowledge about cardiovascular risk factors (CVRFs) in young adults and their modification over time are measures that change the risks and prevent CVDs.Objectives:To determine the presence of CVRFs and their changes in different health care professionals over a period of 20 years.Methods:All students of medicine, nursing, nutrition, odontology, and pharmacy departments of Federal University of Goiás who agreed to participate in this study were evaluated when they started their degree courses and 20 years afterward. Questionnaires on CVRFs [systemic arterial hypertension (SAH), diabetes mellitus, dyslipidemia, and family history of early CVD, smoking, alcohol consumption, and sedentarism] were administered. Cholesterol levels, blood sugar levels, blood pressure, weight, height, and body mass index were determined. The Kolmogorov-Smirnov test was used to evaluate distribution, the chi-square test was used to compare different courses and sexes, and the McNemar test was used for comparing CVRFs. The significance level was set at a p value of < 0.05.Results:The first stage of the study included 281 individuals (91% of all the students), of which 62.9% were women; the mean age was 19.7 years. In the second stage, 215 subjects were reassessed (76% of the initial sample), of which 59.07% were women; the mean age was 39.8 years. The sample mostly consisted of medical students (with a predominance of men), followed by nursing, nutrition, and pharmacy students, with a predominance of women (p < 0.05). Excessive weight gain, SAH, and dyslipidemia were observed among physicians and dentists (p < 0.05). Excessive weight gain and SAH and a reduction in sedentarism (p < 0.05) were observed among pharmacists. Among nurses there was an increase in excessive weight and alcohol consumption (p < 0.05). Finally, nutritionists showed an increase in dyslipidemia (p < 0.05).Conclusion:In general, there was an unfavorable progression of CVRFs in the population under study, despite it having adequate specialized knowledge about these risk factors.

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Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has recently been introduced in diagnostic microbiology laboratories for the identification of bacterial and yeast strains isolated from clinical samples. In the present study, we prospectively compared MALDI-TOF MS to the conventional phenotypic method for the identification of routine isolates. Colonies were analyzed by MALDI-TOF MS either by direct deposition on the target plate or after a formic acid-acetonitrile extraction step if no valid result was initially obtained. Among 1,371 isolates identified by conventional methods, 1,278 (93.2%) were putatively identified to the species level by MALDI-TOF MS and 73 (5.3%) were identified to the genus level, but no reliable identification was obtained for 20 (1.5%). Among the 1,278 isolates identified to the species level by MALDI-TOF MS, 63 (4.9%) discordant results were initially identified. Most discordant results (42/63) were due to systematic database-related taxonomical differences, 14 were explained by poor discrimination of the MALDI-TOF MS spectra obtained, and 7 were due to errors in the initial conventional identification. An extraction step was required to obtain a valid MALDI-TOF MS identification for 25.6% of the 1,278 valid isolates. In conclusion, our results show that MALDI-TOF MS is a fast and reliable technique which has the potential to replace conventional phenotypic identification for most bacterial strains routinely isolated in clinical microbiology laboratories.

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BACKGROUND: Waddlia chondrophila (W. chondrophila) is an emerging abortifacient organism which has been identified in the placentae of humans and cattle. The organism is a member of the order Chlamydiales, and shares many similarities at the genome level and in growth studies with other well-characterised zoonotic chlamydial abortifacients, such as Chlamydia abortus (C. abortus). This study investigates the growth of the organism and its effects upon pro-inflammatory cytokine expression in a ruminant placental cell line which we have previously utilised in a model of C. abortus pathogenicity. METHODOLOGY/PRINCIPAL FINDINGS: Using qPCR, fluorescent immunocytochemistry and electron microscopy, we characterised the infection and growth of W. chondrophila within the ovine trophoblast AH-1 cell line. Inclusions were visible from 6 h post-infection (p.i.) and exponential growth of the organism could be observed over a 60 h time-course, with significant levels of host cell lysis being observed only after 36 h p.i. Expression of CXCL8, TNF-α, IL-1α and IL-1β were determined 24 h p.i. A statistically significant response in the expression of CXCL8, TNF-α and IL-1β could be observed following active infection with W. chondrophila. However a significant increase in IL-1β expression was also observed following the exposure of cells to UV-killed organisms, indicating the stimulation of multiple innate recognition pathways. CONCLUSIONS/SIGNIFICANCE: W. chondrophila infects and grows in the ruminant trophoblast AH-1 cell line exhibiting a complete chlamydial replicative cycle. Infection of the trophoblasts resulted in the expression of pro-inflammatory cytokines in a dose-dependent manner similar to that observed with C. abortus in previous studies, suggesting similarities in the pathogenesis of infection between the two organisms.

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RESUME GRAND PUBLICLe cerveau est composé de différents types cellulaires, dont les neurones et les astrocytes. Faute de moyens pour les observer, les astrocytes sont très longtemps restés dans l'ombre alors que les neurones, bénéficiant des outils ad hoc pour être stimulés et étudiés, ont fait l'objet de toutes les attentions. Le développement de l'imagerie cellulaire et des outils fluorescents ont permis d'observer ces cellules non électriquement excitables et d'obtenir des informations qui laissent penser que ces cellules sont loin d'être passives et participent activement au fonctionnement cérébral. Cette participation au fonctionnement cérébral se fait en partie par le biais de la libération de substances neuro-actives (appellées gliotransmetteurs) que les astrocytes libèrent à proximité des synapses permettant ainsi de moduler le fonctionnement neuronal. Cette libération de gliotransmetteurs est principalement causée par l'activité neuronale que les astrocytes sont capables de sentir. Néanmoins, nous savons encore peu de chose sur les propriétés précises de la libération des gliotransmetteurs. Comprendre les propriétés spatio-temporelles de cette libération est essentiel pour comprendre le mode de communication de ces cellules et leur implication dans la transmission de l'information cérébrale. En utilisant des outils fluorescents récemment développés et en combinant différentes techniques d'imagerie cellulaire, nous avons pu obtenir des informations très précises sur la libération de ces gliotransmetteurs par les astrocytes. Nous avons ainsi confirmé que cette libération était un processus très rapide et qu'elle était contrôlée par des augmentations de calcium locales et rapides. Nous avons également décrit une organisation complexe de la machinerie supportant la libération des gliotransmetteurs. Cette organisation complexe semble être à la base de la libération extrêmement rapide des gliotransmetteurs. Cette rapidité de libération et cette complexité structurelle semblent indiquer que les astrocytes sont des cellules particulièrement adaptées à une communication rapide et qu'elles peuvent, au même titre que les neurones dont elles seraient les partenaires légitimes, participer à la transmission et à l'intégration de l'information cérébrale.RESUMEDe petites vésicules, les « SLMVs » ou « Synaptic Like MicroVesicles », exprimant des transporteurs vésiculaires du glutamate (VGluTs) et libérant du glutamate par exocytose régulée, ont récemment été décrites dans les astrocytes en culture et in situ. Néanmoins, nous savons peu de chose sur les propriétés précises de la sécrétion de ces SLMVs. Contrairement aux neurones, le couplage stimulussécrétion des astrocytes n'est pas basé sur l'ouverture des canaux calciques membranaires mais nécessite l'intervention de seconds messagers et la libération du calcium par le reticulum endoplasmique (RE). Comprendre les propriétés spatio-temporelles de la sécrétion astrocytaire est essentiel pour comprendre le mode de communication de ces cellules et leur implication dans la transmission de l'information cérébrale. Nous avons utilisé des outils fluorescents récemment développés pour étudier le recyclage des vésicules synaptiques glutamatergiques comme les colorants styryles et la pHluorin afin de pouvoir suivre la sécrétion des SLMVs à l'échelle de la cellule mais également à l'échelle des évènements. L'utilisation combinée de l'épifluorescence et de la fluorescence à onde évanescente nous a permis d'obtenir une résolution temporelle et spatiale sans précédent. Ainsi avons-nous confirmé que la sécrétion régulée des astrocytes était un processus très rapide (de l'ordre de quelques centaines de millisecondes). Nous avons découvert que cette sécrétion est contrôlée par des augmentations de calcium locales et rapides. Nous avons également décrit des compartiments cytosoliques délimités par le RE à proximité de la membrane plasmique et contenant les SLMVs. Cette organisation semble être à la base du couplage rapide entre l'activation des GPCRs et la sécrétion. L'existence de compartiments subcellulaires indépendants permettant de contenir les messagers intracellulaires et de limiter leur diffusion semble compenser de manière efficace la nonexcitabilité électrique des astrocytes. Par ailleurs, l'existence des différents pools de vésicules recrutés séquentiellement et fusionnant selon des modalités distinctes ainsi que l'existence de mécanismes permettant le renouvellement de ces pools lors de la stimulation suggèrent que les astrocytes peuvent faire face à une stimulation soutenue de leur sécrétion. Ces données suggèrent que la libération de gliotransmetteurs par exocytose régulée n'est pas seulement une propriété des astrocytes en culture mais bien le résultat d'une forte spécialisation de ces cellules pour la sécrétion. La rapidité de cette sécrétion donne aux astrocytes toutes les compétences pour pouvoir intervenir de manière active dans la transmission et l'intégration de l'information.ABSTRACTRecently, astrocytic synaptic like microvesicles (SLMVs), that express vesicular glutamate transporters (VGluTs) and are able to release glutamate by Ca2+-dependent regulated exocytosis, have been described both in tissue and in cultured astrocytes. Nevertheless, little is known about the specific properties of regulated secretion in astrocytes. Important differences may exist between astrocytic and neuronal exocytosis, starting from the fact that stimulus-secretion coupling in astrocytes is voltage independent, mediated by G-protein-coupled receptors and the release of Ca2+ from internal stores. Elucidating the spatiotemporal properties of astrocytic exo-endocytosis is, therefore, of primary importance for understanding the mode of communication of these cells and their role in brain signaling. We took advantage of fluorescent tools recently developed for studying recycling of glutamatergic vesicles at synapses like styryl dyes and pHluorin in order to follow exocytosis and endocytosis of SLMVs at the level of the entire cell or at the level of single event. We combined epifluorescence and total internal reflection fluorescence imaging to investigate, with unprecedented temporal and spatial resolution, the events underlying the stimulus-secretion in astrocytes. We confirmed that exo-endocytosis process in astrocytes proceeds with a time course on the millisecond time scale. We discovered that SLMVs exocytosis is controlled by local and fast Ca2+ elevations; indeed submicrometer cytosolic compartments delimited by endoplasmic reticulum (ER) tubuli reaching beneath the plasma membrane and containing SLMVs. Such complex organization seems to support the fast stimulus-secretion coupling reported here. Independent subcellular compartments formed by ER, SLMVs and plasma membrane containing intracellular messengers and limiting their diffusion seem to compensate efficiently the non-electrical excitability of astrocytes. Moreover, the existence of two pools of SLMVs which are sequentially recruited suggests a compensatory mechanisms allowing the refill of SLMVs and supporting exocytosis process over a wide range of multiple stimuli. These data suggest that regulated secretion is not only a feature of cultured astrocytes but results from a strong specialization of these cells. The rapidity of secretion demonstrates that astrocytes are able to actively participate in brain information transmission and processing.

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There are both theoretical and empirical reasons for believing that the parameters of macroeconomic models may vary over time. However, work with time-varying parameter models has largely involved Vector autoregressions (VARs), ignoring cointegration. This is despite the fact that cointegration plays an important role in informing macroeconomists on a range of issues. In this paper we develop time varying parameter models which permit cointegration. Time-varying parameter VARs (TVP-VARs) typically use state space representations to model the evolution of parameters. In this paper, we show that it is not sensible to use straightforward extensions of TVP-VARs when allowing for cointegration. Instead we develop a specification which allows for the cointegrating space to evolve over time in a manner comparable to the random walk variation used with TVP-VARs. The properties of our approach are investigated before developing a method of posterior simulation. We use our methods in an empirical investigation involving a permanent/transitory variance decomposition for inflation.

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BACKGROUND: The number of requests to pre-hospital emergency medical services (PEMS) has increased in Europe over the last 20 years, but epidemiology of PEMS interventions has little be investigated. The aim of this analysis was to describe time trends of PEMS activity in a region of western Switzerland. METHODS: Use of data routinely and prospectively collected for PEMS intervention in the Canton of Vaud, Switzerland, from 2001 to 2010. This Swiss Canton comprises approximately 10% of the whole Swiss population. RESULTS: We observed a 40% increase in the number of requests to PEMS between 2001 and 2010. The overall rate of requests was 35/1000 inhabitants for ambulance services and 10/1000 for medical interventions (SMUR), with the highest rate among people aged ≥ 80. Most frequent reasons for the intervention were related to medical problems, predominantly unconsciousness, chest pain respiratory distress, or cardiac arrest, whereas severe trauma interventions decreased over time. Overall, 89% were alive after 48 h. The survival rate after 48 h increased regularly for cardiac arrest or myocardial infarction. CONCLUSION: Routine prospective data collection of prehospital emergency interventions and monitoring of activity was feasible over time. The results we found add to the understanding of determinants of PEMS use and need to be considered to plan use of emergency health services in the near future. More comprehensive analysis of the quality of services and patient safety supported by indicators are also required, which might help to develop prehospital emergency services and new processes of care.

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When speech is degraded, word report is higher for semantically coherent sentences (e.g., her new skirt was made of denim) than for anomalous sentences (e.g., her good slope was done in carrot). Such increased intelligibility is often described as resulting from "top-down" processes, reflecting an assumption that higher-level (semantic) neural processes support lower-level (perceptual) mechanisms. We used time-resolved sparse fMRI to test for top-down neural mechanisms, measuring activity while participants heard coherent and anomalous sentences presented in speech envelope/spectrum noise at varying signal-to-noise ratios (SNR). The timing of BOLD responses to more intelligible speech provides evidence of hierarchical organization, with earlier responses in peri-auditory regions of the posterior superior temporal gyrus than in more distant temporal and frontal regions. Despite Sentence content × SNR interactions in the superior temporal gyrus, prefrontal regions respond after auditory/perceptual regions. Although we cannot rule out top-down effects, this pattern is more compatible with a purely feedforward or bottom-up account, in which the results of lower-level perceptual processing are passed to inferior frontal regions. Behavioral and neural evidence that sentence content influences perception of degraded speech does not necessarily imply "top-down" neural processes.

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Changes in climate policy have large influence on businesses. Firms anticipate and respond to such changes, but what if they have already engaged in a longterm relationship with other firms or customers at the time of policy change? For example, coal supply to power stations is typically based on long-term contracts, while the nature of the buyer-supplier relationship may well be affected substantially by climate regulations. However, there has been little evidence on whether or how firms amend their contractual agreements in response to a change in policy.

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In this paper we develop methods for estimation and forecasting in large timevarying parameter vector autoregressive models (TVP-VARs). To overcome computational constraints with likelihood-based estimation of large systems, we rely on Kalman filter estimation with forgetting factors. We also draw on ideas from the dynamic model averaging literature and extend the TVP-VAR so that its dimension can change over time. A final extension lies in the development of a new method for estimating, in a time-varying manner, the parameter(s) of the shrinkage priors commonly-used with large VARs. These extensions are operationalized through the use of forgetting factor methods and are, thus, computationally simple. An empirical application involving forecasting inflation, real output, and interest rates demonstrates the feasibility and usefulness of our approach.

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An ammonium chloride erythrocyte-lysing procedure was used to prepare a bacterial pellet from positive blood cultures for direct matrix-assisted laser desorption-ionization time of flight (MALDI-TOF) mass spectrometry analysis. Identification was obtained for 78.7% of the pellets tested. Moreover, 99% of the MALDI-TOF identifications were congruent at the species level when considering valid scores. This fast and accurate method is promising.

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VAR methods have been used to model the inter-relationships between inflows and outfl ows into unemployment and vacancies using tools such as impulse response analysis. In order to investigate whether such impulse responses change over the course of the business cycle or or over time, this paper uses TVP-VARs for US and Canadian data. For the US, we find interesting differences between the most recent recession and earlier recessions and expansions. In particular, we find the immediate effect of a negative shock on both in ow and out flow hazards to be larger in 2008 than in earlier times. Furthermore, the effect of this shock takes longer to decay. For Canada, we fi nd less evidence of time-variation in impulse responses.

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This paper investigates the usefulness of switching Gaussian state space models as a tool for implementing dynamic model selecting (DMS) or averaging (DMA) in time-varying parameter regression models. DMS methods allow for model switching, where a different model can be chosen at each point in time. Thus, they allow for the explanatory variables in the time-varying parameter regression model to change over time. DMA will carry out model averaging in a time-varying manner. We compare our exact approach to DMA/DMS to a popular existing procedure which relies on the use of forgetting factor approximations. In an application, we use DMS to select different predictors in an in ation forecasting application. We also compare different ways of implementing DMA/DMS and investigate whether they lead to similar results.

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We use a dynamic multipath general-to-specific algorithm to capture structural instability in the link between euro area sovereign bond yield spreads against Germany and their underlying determinants over the period January 1999 – August 2011. We offer new evidence suggesting a significant heterogeneity across countries, both in terms of the risk factors determining spreads over time as well as in terms of the magnitude of their impact on spreads. Our findings suggest that the relationship between euro area sovereign risk and the underlying fundamentals is strongly timevarying, turning from inactive to active since the onset of the global financial crisis and further intensifying during the sovereign debt crisis. As a general rule, the set of financial and macro spreads’ determinants in the euro area is rather unstable but generally becomes richer and stronger in significance as the crisis evolves.

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We develop a life-cycle model of the labor market in which different worker-firm matches have different quality and the assignment of the right workers to the right firms is time consuming because of search and learning frictions. The rate at which workers move between unemployment, employment and across different firms is endogenous because search is directed and, hence, workers can choose whether to seek low-wage jobs that are easy to find or high-wage jobs that are hard to find. We calibrate our theory using data on labor market transitions aggregated across workers of different ages. We validate our theory by showing that it predicts quite well the pattern of labor market transitions for workers of different ages. Finally, we use our theory to decompose the age profiles of transition rates, wages and productivity into the effects of age variation in work-life expectancy, human capital and match quality.