969 resultados para Probability Density Function


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Metachondromatosis (MC) is a rare, autosomal dominant, incompletely penetrant combined exostosis and enchondromatosis tumor syndrome. MC is clinically distinct from other multiple exostosis or multiple enchondromatosis syndromes and is unlinked to EXT1 and EXT2, the genes responsible for autosomal dominant multiple osteochondromas (MO). To identify a gene for MC, we performed linkage analysis with high-density SNP arrays in a single family, used a targeted array to capture exons and promoter sequences from the linked interval in 16 participants from 11 MC families, and sequenced the captured DNA using high-throughput parallel sequencing technologies. DNA capture and parallel sequencing identified heterozygous putative loss-of-function mutations in PTPN11 in 4 of the 11 families. Sanger sequence analysis of PTPN11 coding regions in a total of 17 MC families identified mutations in 10 of them (5 frameshift, 2 nonsense, and 3 splice-site mutations). Copy number analysis of sequencing reads from a second targeted capture that included the entire PTPN11 gene identified an additional family with a 15 kb deletion spanning exon 7 of PTPN11. Microdissected MC lesions from two patients with PTPN11 mutations demonstrated loss-of-heterozygosity for the wild-type allele. We next sequenced PTPN11 in DNA samples from 54 patients with the multiple enchondromatosis disorders Ollier disease or Maffucci syndrome, but found no coding sequence PTPN11 mutations. We conclude that heterozygous loss-of-function mutations in PTPN11 are a frequent cause of MC, that lesions in patients with MC appear to arise following a "second hit," that MC may be locus heterogeneous since 1 familial and 5 sporadically occurring cases lacked obvious disease-causing PTPN11 mutations, and that PTPN11 mutations are not a common cause of Ollier disease or Maffucci syndrome.

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The Aitchison vector space structure for the simplex is generalized to a Hilbert space structure A2(P) for distributions and likelihoods on arbitrary spaces. Centralnotations of statistics, such as Information or Likelihood, can be identified in the algebraical structure of A2(P) and their corresponding notions in compositional data analysis, such as Aitchison distance or centered log ratio transform.In this way very elaborated aspects of mathematical statistics can be understoodeasily in the light of a simple vector space structure and of compositional data analysis. E.g. combination of statistical information such as Bayesian updating,combination of likelihood and robust M-estimation functions are simple additions/perturbations in A2(Pprior). Weighting observations corresponds to a weightedaddition of the corresponding evidence.Likelihood based statistics for general exponential families turns out to have aparticularly easy interpretation in terms of A2(P). Regular exponential families formfinite dimensional linear subspaces of A2(P) and they correspond to finite dimensionalsubspaces formed by their posterior in the dual information space A2(Pprior).The Aitchison norm can identified with mean Fisher information. The closing constant itself is identified with a generalization of the cummulant function and shown to be Kullback Leiblers directed information. Fisher information is the local geometry of the manifold induced by the A2(P) derivative of the Kullback Leibler information and the space A2(P) can therefore be seen as the tangential geometry of statistical inference at the distribution P.The discussion of A2(P) valued random variables, such as estimation functionsor likelihoods, give a further interpretation of Fisher information as the expected squared norm of evidence and a scale free understanding of unbiased reasoning

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The human brainstem is a densely packed, complex but highly organised structure. It not only serves as a conduit for long projecting axons conveying motor and sensory information, but also is the location of multiple primary nuclei that control or modulate a vast array of functions, including homeostasis, consciousness, locomotion, and reflexive and emotive behaviours. Despite its importance, both in understanding normal brain function as well as neurodegenerative processes, it remains a sparsely studied structure in the neuroimaging literature. In part, this is due to the difficulties in imaging the internal architecture of the brainstem in vivo in a reliable and repeatable fashion. A modified multivariate mixture of Gaussians (mmMoG) was applied to the problem of multichannel tissue segmentation. By using quantitative magnetisation transfer and proton density maps acquired at 3 T with 0.8 mm isotropic resolution, tissue probability maps for four distinct tissue classes within the human brainstem were created. These were compared against an ex vivo fixated human brain, imaged at 0.5 mm, with excellent anatomical correspondence. These probability maps were used within SPM8 to create accurate individual subject segmentations, which were then used for further quantitative analysis. As an example, brainstem asymmetries were assessed across 34 right-handed individuals using voxel based morphometry (VBM) and tensor based morphometry (TBM), demonstrating highly significant differences within localised regions that corresponded to motor and vocalisation networks. This method may have important implications for future research into MRI biomarkers of pre-clinical neurodegenerative diseases such as Parkinson's disease.

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Nestling birds produced later in the season are hypothesized to be of poor quality with a low probability of survival and recruitment. In a Spanish population of house martins (Delichon urbica), we first compared reproductive success, immune responses and morphological traits between the first and the second broods. Second, we investigated the effects of an ectoparasite treatment and breeding date on the recapture rate the following year. Due probably to a reverse situation in weather conditions during the experiment, with more rain during rearing of the first brood, nestlings reared during the second brood were in better condition and had stronger immune responses compared with nestlings from the first brood. Contrary to other findings on house martins, we found a similar recapture rate for chicks reared during the first and the second brood. Furthermore, ectoparasitic house martin bugs had no significant effect on the recapture rate. Recaptured birds had similar morphology but higher immunoglobulin levels when nestlings compared with non-recaptured birds. This result implies that a measure of immune function is a better predictor of survival than body condition per se.

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SUMMARYThe incidence of type 2 diabetes (T2D) is increasing worldwide and is linked to the enhancement of obesity. The principal cause of T2D development is insulin resistance, which lead to the increase of insulin production by the pancreatic beta-cells. In a pathological environment, namely dyslipidaemia, hyperglycaemia and inflammation, beta-cell compensation will fail in more vulnerable cells and diabetes will occur. High Density Lipoproteins (HDLs), commonly named "good cholesterol" are known to be atheroprotective. Low levels of HDLs are associated with increased prevalence of cardiovascular disease but are also an independent risk factor for the development of T2D. HDLs were demonstrated to protect pancreatic beta-cells against several stresses. However the molecular mechanisms of the protection are unknown and the objectives of this work were to try to elucidate the way how HDLs protect. The first approach was a broad screening of genes regulated by the stress and HDLs. A microarray analysis was performed on beta-cells stressed by serum deprivation and rescued by HDLs. Among the genes regulated, we focused on 4E-BP1, a cap-dependent translational inhibitor. In addition, HDLs were also found to protect against several other stresses.Endoplasmic reticulum (ER) stress is a mechanism that may play a role in the onset of T2D. The unfolded protein response (UPR) is a physiological process that aims at maintaining ER homeostasis in conditions where the protein folding and secretion is perturbed. Specific signalling pathways are involved in the increase of folding, export and degradation capacity of the ER. However, in case where the stress is prolonged, this mechanism turns to be pathological, by inducing cell death effector pathways, leading to beta-cell apoptosis. In our study, we discovered that HDLs were protective against ER stress induced by drugs and physiological stresses such as saturated free fatty acids. HDLs protected beta-cells by promoting ER homeostasis via the improvement of the folding and trafficking od proteins from the ER to the Golgi apparatus.Altogether our results suggest that HDLs are important for beta-cell function and survival, by protecting them from several stresses and acting on ER homeostasis. This suggests that attempt in keeping normal HDLs levels or function in patients is crucial to lessen the development of T2D.RÉSUMÉL'incidence du diabète de type 2 est en constante augmentation et est fortement liée à l'accroissement du taux d'obésité. La cause principale du diabète de type 2 est la résistance à l'insuline, qui entraîne une surproduction d'insuline par les cellules bêta pancréatiques. Dans un environnement pathologique associé à l'obésité (dyslipidémie, hyperglycémie et inflammation), les cellules bêta les plus vulnérables ne sont plus capables de compenser en augmentant leur production d'insuline, dysfonctionnent, ce qui conduit à leur mort par apoptose. Les lipoprotéines de hautes densités (HDLs), communément appelées (( bon cholestérol », sont connues pour leurs propriétés protectrices contre l'athérosclérose. Des niveaux bas de HDLs sanguins sont associés au risque de développer un diabète de type 2. Les HDLs ont également montré des propriétés protectrices contre divers stresses dans la cellule bêta. Cependant, les mécanismes de protection restent encore inconnus et l'objectif de ce travail a été d'investiguer les mécanismes moléculaires de protection des HDLs. La première approche choisie a été une étude du profil d'expression génique par puce à ADN afin d'identifier les gènes régulés par le stress et les HDLs. Parmi les gènes régulés, notre intérêt s'est porté sur 4E-BP1, un inhibiteur de la traduction coiffe- dépendante, dont l'induction par le stress était corrélée avec une augmentation de l'apoptose. Suite à cette étude, les HDLs ont également montrés un rôle protecteur contre d'autres stresses. Il s'agit particulièrement du stress du réticulum endoplasmique (RE), qui est un mécanisme qui semble jouer un rôle clé dans le développement du diabète. L'UPR (« Unfolded Protein Response ») est un processus physiologique tendant à maintenir l'homéostasie du réticulum endoplasmique, organelle prépondérante pour la fonction des cellules sécrétrices, notamment lorsqu'elle est soumise à des conditions extrêmes telles que des perturbations de la conformation tertiaire des protéines ou de la sécrétion. Dans ces cas, des voies de signalisation moléculaires sont activées, ce qui mène à l'exportation des protéines mal repliées, à leur dégradation et à l'augmentation de l'expression de chaperonnes capables d'améliorer le repliement des protéines mal formées. Toutefois, en cas de stress persistant, ce mécanisme de protection s'avère être pathologique. En induisant des voies de signalisation effectrices de l'apoptose, il conduit finalement au développement du diabète. Dans cette étude, nous avons démontré que les HDLs étaient capables de protéger la cellule bêta contre le stress du RE induits par des inhibiteurs (thapsigargine, tunicamycine) ou des stresses physiologiques tels que les acides gras libres. Les HDLs ont la capacité d'améliorer l'homéostasie du RE, notamment en favorisant le repliement et le transfert des protéines du RE à l'appareil de Golgi.En résumé, ces données suggèrent que les HDLs sont bénéfiques pour la survie des cellules bêta soumises à des stresses impliqués dans le développement du diabète, notamment en restaurant l'homéostasie du RE. Ces résultats conduisent à soutenir que le maintien des taux de cholestérol joue un rôle important dans la limitation de l'incidence du diabète.

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Within current-density-functional theory, we have studied a quantum dot made of 210 electrons confined in a disk geometry. The ground state of this large dot exhibits some features as a function of the magnetic field (Beta) that can be attributed in a clear way to the formation of compressible and incompressible states of the system. The orbital and spin angular momenta, the total energy, ionization and electron chemical potentials of the ground state, as well as the frequencies of far-infrared edge modes are calculated as a function of Beta, and compared with available experimental and theoretical results.

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The longitudinal dipole response of a quantum dot has been calculated in the far-infrared regime using local-spin-density-functional theory. We have studied the coupling between the collective spin and density modes as a function of the magnetic field. We have found that the spin dipole mode and single-particle excitations have a sizable overlap, and that the magnetoplasmon modes can be excited by the dipole spin operator if the dot is spin polarized. The frequency of the dipole spin edge mode presents an oscillation which is clearly filling factor (v) related. We have found that the spin dipole mode is especially soft for even-n values. Results for selected numbers of electrons and confining potentials are discussed.

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We have studied the structure and dipole charge-density response of nanorings as a function of the magnetic field using local-spin-density-functional theory. Two small rings consisting of 12 and 22 electrons confined by a positively charged background are used to represent the cases of narrow and wide rings. The results are qualitatively compared with experimental data existing on microrings and on antidots. A smaller ring containing five electrons is also analyzed to allow for a closer comparison with a recent experiment on a two-electron quantum ring.

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We have investigated the structure of double quantum dots vertically coupled at zero magnetic field within local-spin-density functional theory. The dots are identical and have a finite width, and the whole system is axially symmetric. We first discuss the effect of thickness on the addition spectrum of one single dot. Next we describe the structure of coupled dots as a function of the interdot distance for different electron numbers. Addition spectra, Hund's rule, and molecular-type configurations are discussed. It is shown that self-interaction corrections to the density-functional results do not play a very important role in the calculated addition spectra

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Macroporosity is often used in the determination of soil compaction. Reduced macroporosity can lead to poor drainage, low root aeration and soil degradation. The aim of this study was to develop and test different models to estimate macro and microporosity efficiently, using multiple regression. Ten soils were selected within a large range of textures: sand (Sa) 0.07-0.84; silt 0.03-0.24; clay 0.13-0.78 kg kg-1 and subjected to three compaction levels (three bulk densities, BD). Two models with similar accuracy were selected, with a mean error of about 0.02 m³ m-3 (2 %). The model y = a + b.BD + c.Sa, named model 2, was selected for its simplicity to estimate Macro (Ma), Micro (Mi) or total porosity (TP): Ma = 0.693 - 0.465 BD + 0.212 Sa; Mi = 0.337 + 0.120 BD - 0.294 Sa; TP = 1.030 - 0.345 BD 0.082 Sa; porosity values were expressed in m³ m-3; BD in kg dm-3; and Sa in kg kg-1. The model was tested with 76 datum set of several other authors. An error of about 0.04 m³ m-3 (4 %) was observed. Simulations of variations in BD as a function of Sa are presented for Ma = 0 and Ma = 0.10 (10 %). The macroporosity equation was remodeled to obtain other compaction indexes: a) to simulate maximum bulk density (MBD) as a function of Sa (Equation 11), in agreement with literature data; b) to simulate relative bulk density (RBD) as a function of BD and Sa (Equation 13); c) another model to simulate RBD as a function of Ma and Sa (Equation 16), confirming the independence of this variable in relation to Sa for a fixed value of macroporosity and, also, proving the hypothesis of Hakansson & Lipiec that RBD = 0.87 corresponds approximately to 10 % macroporosity (Ma = 0.10 m³ m-3).

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We have investigated the dipole charge- and spin-density response of few-electron two-dimensional concentric nanorings as a function of the intensity of a erpendicularly applied magnetic field. We show that the dipole response displays signatures associated with the localization of electron states in the inner and outer ring favored by the perpendicularly applied magnetic field. Electron localization produces a more fragmented spectrum due to the appearance of additional edge excitations in the inner and outer ring.

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We report variational calculations, in the hypernetted-chain (HNC)-Fermi-HNC scheme, of one-body density matrices and one-particle momentum distributions for 3He-4He mixtures described by a Jastrow correlated wave function. The 4He condensate fractions and the 3He strength poles are examined and compared with the Monte Carlo available results. The agreement has been found to be very satisfactory. Their density dependence is also studied.

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Estimation of soil load-bearing capacity from mathematical models that relate preconsolidation pressure (σp) to mechanical resistance to penetration (PR) and gravimetric soil water content (U) is important for defining strategies to prevent compaction of agricultural soils. Our objective was therefore to model the σp and compression index (CI) according to the PR (with an impact penetrometer in the field and a static penetrometer inserted at a constant rate in the laboratory) and U in a Rhodic Eutrudox. The experiment consisted of six treatments: no-tillage system (NT); NT with chiseling; and NT with additional compaction by combine traffic (passing 4, 8, 10, and 20 times). Soil bulk density, total porosity, PR (in field and laboratory measurements), U, σp, and CI values were determined in the 5.5-10.5 cm and 13.5-18.5 cm layers. Preconsolidation pressure (σp) and CI were modeled according to PR in different U. The σp increased and the CI decreased linearly with increases in the PR values. The correlations between σp and PR and PR and CI are influenced by U. From these correlations, the soil load-bearing capacity and compaction susceptibility can be estimated by PR readings evaluated in different U.

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The performance of density-functional theory to solve the exact, nonrelativistic, many-electron problem for magnetic systems has been explored in a new implementation imposing space and spin symmetry constraints, as in ab initio wave function theory. Calculations on selected systems representative of organic diradicals, molecular magnets and antiferromagnetic solids carried out with and without these constraints lead to contradictory results, which provide numerical illustration on this usually obviated problem. It is concluded that the present exchange-correlation functionals provide reasonable numerical results although for the wrong physical reasons, thus evidencing the need for continued search for more accurate expressions.

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The performance of density-functional theory to solve the exact, nonrelativistic, many-electron problem for magnetic systems has been explored in a new implementation imposing space and spin symmetry constraints, as in ab initio wave function theory. Calculations on selected systems representative of organic diradicals, molecular magnets and antiferromagnetic solids carried out with and without these constraints lead to contradictory results, which provide numerical illustration on this usually obviated problem. It is concluded that the present exchange-correlation functionals provide reasonable numerical results although for the wrong physical reasons, thus evidencing the need for continued search for more accurate expressions.