954 resultados para Two-component Regulatory System


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Le sommeil est un besoin vital et le bon fonctionnement de l’organisme dépend de la quantité et de la qualité du sommeil. Le sommeil est régulé par deux processus : un processus circadien qui dépend de l’activité des noyaux suprachiasmatiques de l’hypothalamus et qui régule le moment durant lequel nous allons dormir, et un processus homéostatique qui dépend de l’activité neuronale et se reflète dans l’intensité du sommeil. En effet, le sommeil dépend de l’éveil qui le précède et plus l’éveil dure longtemps, plus le sommeil est profond tel que mesuré par des marqueurs électroencéphalographiques (EEG). Des études ont montré que le bon fonctionnement de ces deux processus régulateurs du sommeil dépend de la plasticité synaptique. Ainsi, les éléments synaptiques régulant la communication et la force synaptique sont d’importants candidats pour agir sur la physiologie de la régulation du sommeil. Les molécules d’adhésion cellulaire sont des acteurs clés dans les mécanismes de plasticité synaptique. Elles régulent l’activité et la maturation des synapses. Des études ont montré que leur absence engendre des conséquences similaires au manque de sommeil. Le but de ce projet de thèse est d’explorer l’effet de l’absence de deux familles de molécule d’adhésion cellulaire, les neuroligines et la famille des récepteur Eph et leur ligand les éphrines dans les processus régulateurs du sommeil. Notre hypothèse est que l’absence d’un des membres de ces deux familles de molécule affecte les mécanismes impliqués dans le processus homéostatique de régulation du sommeil. Afin de répondre à notre hypothèse, nous avons étudié d’une part l’activité EEG chez des souris mutantes n’exprimant pas Neuroligine‐1 (Nlgn1) ou le récepteur EphA4 en condition normale et après une privation de sommeil. D’autre part, nous avons mesuré les changements moléculaires ayant lieu dans ces deux modèles après privation de sommeil. Au niveau de l’activité EEG, nos résultats montrent que l’absence de Nlgn1 augmente la densité des ondes lentes en condition normale et augment l’amplitude et la pente des ondes lentes après privation de sommeil. Nlgn1 est nécessaire au fonctionnement normal de la synchronie corticale, notamment après une privation de sommeil, lui attribuant ainsi un rôle clé dans l’homéostasie du sommeil. Concernant le récepteur EphA4, son absence affecte la durée du sommeil paradoxal ainsi que l’activité sigma qui dépendent du processus circadien. Nos résultats suggèrent donc que ce récepteur est un élément important dans la régulation circadienne du sommeil. Les changements transcriptionnels en réponse à la privation de sommeil des souris n’exprimant pas Nlgn1 et EphA4 ne sont pas différents des souris sauvages. Toutefois, nous avons montré que la privation de sommeil affectait la distribution des marques épigénétiques sur le génome, tels que la méthylation et l’hydroxyméthylation, et que l’expression des molécules régulant ces changements est modifiée chez les souris mutantes pour le récepteur EphA4. Nos observations mettent en évidence que les molécules d’adhésion cellulaire, Nlgn1 et le récepteur EphA4, possèdent un rôle important dans les processus homéostatique et circadien du sommeil et contribuent de manière différente à la régulation du sommeil.

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In this EuropEos Commentary, Stefano Micossi reviews recent efforts to build a stronger and more coherent regulatory system for financial markets and finds the idea of a resolution fund at best a distraction, and at worst a harbinger of renewed financial instability.

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The social dimension of the internal market or of the EU more generally has recently been under quite fundamental attack. Calls for 'Europe' to be 'more social' have been heard repeatedly. Witness the polarized debates about the services directive, the anxieties concerning several ECJ cases about what limitations of the free movement of workers (posted or not) are justified or the assertion of a 'neo-liberal agenda' in Brussels disregarding or eroding the social dimension. This BEEP Briefing paper takes an analytical approach to these issues and to the possible 'framing' involved. Such an analysis reveals a very different picture than the negative framing in such debates has it: there is nothing particular 'a-social' about the internal market or the EU at large. This overall conclusion is reached following five steps. First, several 'preliminaries' of the social dimension have to be kept in mind (including the two-tier regulatory & expenditure structure of what is too loosely called 'social Europe' ) and this is only too rarely done or at best in partial, hence misleading, ways. Second, the social acquis at EU and Member States' levels is spelled out, broken down into four aspects (social spending; labour market regulation; industrial relations; free movements & establishment). Assessing the EU acquis in the light of the two levels of powers shows clearly that it is the combination of the two levels which matters. Member States and e.g. labour unions do not want the EU level to become deeply involved ( with some exceptions) and the actual impact of free movement and establishment is throttled by far-reaching host-country control and the requirement of a 'high level of social protection' in the treaty. Third, six anxieties about the social dimension of the internal market are discussed and few arguments are found which are attributable to the EU or its weakening social dimension. Fourth, another six anxieties are discussed emerging from the socio-economic context of the social dimension of the EU at large. The analysis demonstrates that, even if these anxieties ought to be taken serious, the EU is hardly or not the culprit. Fifth, all this is complemented by a number of other facts or arguments strengthening the case that the EU social dimension is fine.

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Subaerially erupted tholeiites at Hole 642E were never exposed to the high-temperature seawater circulation and alteration conditions that are found at subaqueous ridges. Alteration of Site 642 rocks is therefore the product of the interaction of rocks and fluids at low temperatures. The alteration mineralogy can thus be used to provide information on the geochemical effects of low temperature circulation of seawater. Rubidium-strontium systematics of leached and unleached tholeiites and underlying, continentally-derived dacites reflect interactions with seawater in fractures and vesicular flow tops. The secondary mineral assemblage in the tholeiites consists mainly of smectite, accompanied in a few flows by the assemblage celadonite + calcite (+/- native Cu). Textural relationships suggest that smectites formed early and that celadonite + calcite, which are at least in part cogenetic, formed later than and partially at the expense of smectite. Smectite precipitation occurred under variable, but generally low, water/rock conditions. The smectites contain much lower concentrations of alkali elements than has been reported in seafloor basalts, and sequentially leached fractions of smectite contain Sr that has not achieved isotopic equilibrium. 87Sr/86Sr results of the leaching experiments suggest that Sr was mostly derived from seawater during early periods of smectite precipitation. The basalt-like 87Sr/86Sr of the most readily exchangeable fraction seems to suggest a late period of exposure to very low water /rock. Smectite formation may have primarily occurred in the interval between the nearly 58-Ma age given by the lower series dacites and the 54.5 +/- 0.2 Ma model age given by a celadonite from the top of the tholeiitic section. The 54.5 +/- 0.2 Ma Rb-Sr model age may be recording the timing of foundering of the Voring Plateau. Celadonites precipitated in flows below the top of the tholeiitic section define a Rb-Sr isochron with a slope corresponding to an age of 24.3 +/- 0.4 Ma. This isochron may be reflecting mixing effects due to long-term chemical interaction between seawater and basalts, in which case the age provides only a minimum for the timing of late alteration. Alternatively, inferrential arguments can be made that the 24.3 +/- 0.4 isochron age reflects the timing of the late Oligocene-early Miocene erosional event that affected the Norwegian-Greenland Sea. Correlation of 87Sr/86Sr and 1/Sr in calcites results in a two-component mixing model for late alteration products. One end-member of the mixing trend is Eocene or younger seawater. Strontium from the nonradiogenic endmember can not, however, have been derived directly from the basalts. Rather, the data suggest that Sr in the calcites is a mixture of Sr derived from seawater and from pre-existing smectites. For Site 642, the reaction involved can be generalized as smectite + seawater ++ celadonite + calcite. The geochemical effects of this reaction include net gains of K and CO2 by the secondary mineral assemblage. The gross similarity of the reactions involved in late, low-temperature alteration at Site 642 to those observed in other sea floor basalts suggests that the transfer of K and C02 to the crust during low-temperature seawater-ocean crust interactions may be significant in calculations of global fluxes.

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Sediment cores collected from the Eastern Equatorial Pacific Ocean display a clear positive second-order relationship between wet bulk density (WBD) and carbonate content. This has long interested the paleoceanography community because detailed Gamma Ray Attenuation Porosity Evaluator (GRAPE) measurements, which approximate WBD, might be used to determine records of carbonate content at very high temporal resolution. Although general causes for the relationship are known, they have not been presented and discussed systematically on the basis of first principles. In this study, we measure the mass and carbonate content of 50 sediment samples with known WBD from Site U1338, before and after rinsing with de-ionized water; we also determine the mass related proportion of coarse (> 63 µm) material. Samples exhibit clear relationships between WBD, carbonate content, mass loss upon rinsing, and grain size. We develop a series of mathematical expressions to describe these relationships, and solve them numerically. As noted by previous workers, the second-order relationship between WBD and carbonate content results from the mixing of biogenic carbonate and biogenic silica, which have different grain densities and different porosities. However, at high carbonate content, a wide range in WBD occurs because samples with greater amounts of coarse carbonate have higher porosity. Moreover compaction impacts carbonate particles more than biogenic silica particles. As such, a single two-component equation cannot be used to determine carbonate content accurately across depth intervals where both the porosity and type of carbonate vary. Instead, the WBD-carbonate relationship is described by an infinite series of curves, each which represents mixing of multiple sediment components with different densities and porosities. Dissolved ions also precipitate from pore space during sample drying, which adds mass to the sediment. Without rinsing samples, simple empirical relationships between WBD and carbonate content are further skewed by salt dilution.

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"Selection and Assignment Research Unit."

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Strontium isotope analysis of skeletal material as a means to reconstruct prehistoric residential patterns has previously mainly been applied to populations with terrestrial diets. Here we present a model for populations with mixed marine/terrestrial diets, which is based on two-component mixing of strontium isotopes. Applying this model, we can estimate the original strontium isotope value of the terrestrial component of the diet. Accordingly it is possible to identify non-local individuals even if they had a mixed marine/terrestrial diet. The model is applied to tooth enamel samples representing nine individuals recovered from a passage grave in Resmo, on the island of Öland in the Baltic Sea, where at least five non-local individuals, representing at least two different geographical regions of origin, were identified. Non-local individuals were more frequent during the Bronze Age than during previous phases.

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A two-component mixture regression model that allows simultaneously for heterogeneity and dependency among observations is proposed. By specifying random effects explicitly in the linear predictor of the mixture probability and the mixture components, parameter estimation is achieved by maximising the corresponding best linear unbiased prediction type log-likelihood. Approximate residual maximum likelihood estimates are obtained via an EM algorithm in the manner of generalised linear mixed model (GLMM). The method can be extended to a g-component mixture regression model with the component density from the exponential family, leading to the development of the class of finite mixture GLMM. For illustration, the method is applied to analyse neonatal length of stay (LOS). It is shown that identification of pertinent factors that influence hospital LOS can provide important information for health care planning and resource allocation. (C) 2002 Elsevier Science B.V. All rights reserved.

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We compare and contrast the entanglement in the ground state of two Jahn-Teller models. The Exbeta system models the coupling of a two-level electronic system, or qubit, to a single-oscillator mode, while the Exepsilon models the qubit coupled to two independent, degenerate oscillator modes. In the absence of a transverse magnetic field applied to the qubit, both systems exhibit a degenerate ground state. Whereas there always exists a completely separable ground state in the Exbeta system, the ground states of the Exepsilon model always exhibit entanglement. For the Exbeta case we aim to clarify results from previous work, alluding to a link between the ground-state entanglement characteristics and a bifurcation of a fixed point in the classical analog. In the Exepsilon case we make use of an ansatz for the ground state. We compare this ansatz to exact numerical calculations and use it to investigate how the entanglement is shared between the three system degrees of freedom.

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We present a new set of dissipationless N-body simulations to examine the feasibility of creating bright ellipticals (following the Kormendy relation, hereafter KR) by hierarchically merging present-day early-type dwarf galaxies, and to study how the encounter parameters affect the location of the end product in the (mu(e))-R-e plane. We investigate the merging of one-component galaxies of both equal and different masses, the merging of two-component galaxy models to explore the effect of dark haloes on the final galaxy characteristics, and the merging of ultracompact dwarf galaxies. We find that the increase of (mu(e)) with R-e is attributable to an increase in the initial orbital energy. The merger remnants shift down in the (mu(e))-R-e plane and fail to reach the KR. Thus, the KR is not reproducible by mergers of dwarf early-type systems, rendering untenable the theory that present-day dwarfs are responsible for even a small fraction of the present-day ellipticals, unless a considerable amount of dissipation is invoked. However, we do find that present-day dwarfs can be formed by the merger of ultracompact dwarfs.

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The conjugation of a lipoamino acid to the N-terminus of Gonadotropin releasing hormone (GnRH) produces a lipophilic peptide from which the parent GnRH peptide is released into solution on treatment with plasma and kidney enzyme preparation. Our findings show that one stereoisomer of the Laa is cleaved very rapidly, providing a bolus dose of the peptide while the opposite stereoisomer is cleaved much more slowly, providing prolonged elevation of peptide concentration. The Laa-Glu linkage appears to act as a two phase prodrug system. © 2005 Elsevier Ltd. All rights reserved.

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Motivation: An important problem in microarray experiments is the detection of genes that are differentially expressed in a given number of classes. We provide a straightforward and easily implemented method for estimating the posterior probability that an individual gene is null. The problem can be expressed in a two-component mixture framework, using an empirical Bayes approach. Current methods of implementing this approach either have some limitations due to the minimal assumptions made or with more specific assumptions are computationally intensive. Results: By converting to a z-score the value of the test statistic used to test the significance of each gene, we propose a simple two-component normal mixture that models adequately the distribution of this score. The usefulness of our approach is demonstrated on three real datasets.

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A number of systematic conservation planning tools are available to aid in making land use decisions. Given the increasing worldwide use and application of reserve design tools, including measures of site irreplaceability, it is essential that methodological differences and their potential effect on conservation planning outcomes are understood. We compared the irreplaceability of sites for protecting ecosystems within the Brigalow Belt Bioregion, Queensland, Australia, using two alternative reserve system design tools, Marxan and C-Plan. We set Marxan to generate multiple reserve systems that met targets with minimal area; the first scenario ignored spatial objectives, while the second selected compact groups of areas. Marxan calculates the irreplaceability of each site as the proportion of solutions in which it occurs for each of these set scenarios. In contrast, C-Plan uses a statistical estimate of irreplaceability as the likelihood that each site is needed in all combinations of sites that satisfy the targets. We found that sites containing rare ecosystems are almost always irreplaceable regardless of the method. Importantly, Marxan and C-Plan gave similar outcomes when spatial objectives were ignored. Marxan with a compactness objective defined twice as much area as irreplaceable, including many sites with relatively common ecosystems. However, targets for all ecosystems were met using a similar amount of area in C-Plan and Marxan, even with compactness. The importance of differences in the outcomes of using the two methods will depend on the question being addressed; in general, the use of two or more complementary tools is beneficial.

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Automatically generating maps of a measured variable of interest can be problematic. In this work we focus on the monitoring network context where observations are collected and reported by a network of sensors, and are then transformed into interpolated maps for use in decision making. Using traditional geostatistical methods, estimating the covariance structure of data collected in an emergency situation can be difficult. Variogram determination, whether by method-of-moment estimators or by maximum likelihood, is very sensitive to extreme values. Even when a monitoring network is in a routine mode of operation, sensors can sporadically malfunction and report extreme values. If this extreme data destabilises the model, causing the covariance structure of the observed data to be incorrectly estimated, the generated maps will be of little value, and the uncertainty estimates in particular will be misleading. Marchant and Lark [2007] propose a REML estimator for the covariance, which is shown to work on small data sets with a manual selection of the damping parameter in the robust likelihood. We show how this can be extended to allow treatment of large data sets together with an automated approach to all parameter estimation. The projected process kriging framework of Ingram et al. [2007] is extended to allow the use of robust likelihood functions, including the two component Gaussian and the Huber function. We show how our algorithm is further refined to reduce the computational complexity while at the same time minimising any loss of information. To show the benefits of this method, we use data collected from radiation monitoring networks across Europe. We compare our results to those obtained from traditional kriging methodologies and include comparisons with Box-Cox transformations of the data. We discuss the issue of whether to treat or ignore extreme values, making the distinction between the robust methods which ignore outliers and transformation methods which treat them as part of the (transformed) process. Using a case study, based on an extreme radiological events over a large area, we show how radiation data collected from monitoring networks can be analysed automatically and then used to generate reliable maps to inform decision making. We show the limitations of the methods and discuss potential extensions to remedy these.

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When viewing a drifting plaid stimulus, perceived motion alternates over time between coherent pattern motion and a transparent impression of the two component gratings. It is known that changing the intrinsic attributes of such patterns (e.g. speed, orientation and spatial frequency of components) can influence percept predominance. Here, we investigate the contribution of extrinsic factors to perception; specifically contextual motion and eye movements. In the first experiment, the percept most similar to the speed and direction of surround motion increased in dominance, implying a tuned integration process. This shift primarily involved an increase in dominance durations of the consistent percept. The second experiment measured eye movements under similar conditions. Saccades were not associated with perceptual transitions, though blink rate increased around the time of a switch. This indicates that saccades do not cause switches, yet saccades in a congruent direction might help to prolong a percept because i) more saccades were directionally congruent with the currently reported percept than expected by chance, and ii) when observers were asked to make deliberate eye movements along one motion axis, this increased percept reports in that direction. Overall, we find evidence that perception of bistable motion can be modulated by information from spatially adjacent regions, and changes to the retinal image caused by blinks and saccades.