71 resultados para threshold random variable


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Short-term (one week) and chronic (six week) cardiovascular effects of orally administered perindopril were examined in the rabbit to demonstrate if short-term results can predict chronic outcomes. In short-term treatment, five doses of perindopril were examined in random order separated by a one week recovery period in each of six rabbits. Two doses of perindopril which resulted in a moderate hypotensive effect (-14 mmHg) and no hypotensive effect, respectively, were then selected for long-term treatment. Each rabbit in the short-term study received perindopril in doses of 0.01, 0.06, 0.32, 1.8 and 10 mg kg(-1) day(-1) for a week at a time. Rabbits on long-term treatment received either 0.3 or 0.01 mg kg(-1) day(-1) perindopril for six weeks. All rabbits had their mean arterial blood pressure (MAP) and heart rate recorded throughout treatment. Plasma angiotensin I (AngI), perindoprilat, angiotensin converting enzyme (ACE) inhibition were also assayed. Perindopril treatment for one week produced a dose-dependent hypotensive effect with the threshold dose, 0.06 mg kg(-1) day(-1), producing a 6.5+/-1.8 mmHg fall in MAP. The highest dose (10.0 mg kg(-1) day(-1)) produced a large fall in blood pressure of -29.6+/-4.2 mmHg. The 0.01 and 0.06 mg kg(-1) day(-1) doses of perindopril produced an average 2.65 fold increase in plasma AngI levels compared to the initial control. The three higher doses (0.32-10.0 mg kg(-1) day(-1)) of perindopril produced an equivalent 5.7 fold increase in plasma AngI levels compared to the initial controls. However, over six weeks 0.01 mg kg(-1) day(-1) perindopril induced a similar decrease in MAP as the 30 fold higher dose (-9.3 mmHg compared to -11.7 mmHg,). This was in spite of a 3 fold difference in plasma perindoprilat concentrations between the high and low dose perindopril groups. Plasma ACE inhibition was >80% with both doses of perindopril. The results indicate that while perindopril decreases MAP in a dose-dependent manner in short-term (one week) periods, over longer treatment times (six weeks) low concentrations of perindopril, non-hypotensive with shortterm treatment, may be as anti-hypertensive as considerably higher doses. (C) 1996 The Italian Pharmacological Society.

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H-1 NMR spectra of the thyroid hormone thyroxine recorded at low temperature and high field show splitting into two peaks of the resonance due to the H2,6 protons of the inner (tyrosyl) ring. A single resonance is observed in 600 MHz spectra at temperatures above 185 K. An analysis of the line shape as a function of temperature shows that the coalescence phenomenon is due to an exchange process with a barrier of 37 kJ mol(-1). This is identical to the barrier for coalescence of the H2',6' protons of the outer (phenolic) ring reported previously for the thyroid hormones and their analogues. It is proposed that the separate peaks at low temperature are due to resonances for H2,6 in cisoid and transoid conformers which are populated in approximately equal populations. These two peaks are averaged resonances for the individual H2 and H6 protons. Conversion of cisoid to transoid forms can occur via rotation of either the alanyl side chain or the outer ring, from one face of the inner ring to the other. It is proposed that the latter process is the one responsible for the observed coalescence phenomenon. The barrier to rotation of the alanyl side chain is greater than or equal to 37 kJ mol(-1), which is significantly larger than has previously been reported for Csp(2)-Csp(3) bonds in other Ph-CH2-X systems. The recent crystal structure of a hormone agonist bound to the ligand-binding domain of the rat thyroid hormone receptor (Wagner et al. Nature 1995, 378, 690-697) shows the transoid form to be the bound conformation. The significant energy barrier to cisoid/transoid interconversion determined in the current study combined with the tight fit of the hormone to its receptor suggests that interconversion between the forms cannot occur at the receptor site but that selection for the preferred bound form occurs from the 50% population of the transoid form in solution.

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A new conceptual model for soil pore-solid structure is formalized. Soil pore-solid structure is proposed to comprise spatially abutting elements each with a value which is its membership to the fuzzy set ''pore,'' termed porosity. These values have a range between zero (all solid) and unity (all pore). Images are used to represent structures in which the elements are pixels and the value of each is a porosity. Two-dimensional random fields are generated by allocating each pixel a porosity by independently sampling a statistical distribution. These random fields are reorganized into other pore-solid structural types by selecting parent points which have a specified local region of influence. Pixels of larger or smaller porosity are aggregated about the parent points and within the region of interest by controlled swapping of pixels in the image. This creates local regions of homogeneity within the random field. This is similar to the process known as simulated annealing. The resulting structures are characterized using one-and two-dimensional variograms and functions describing their connectivity. A variety of examples of structures created by the model is presented and compared. Extension to three dimensions presents no theoretical difficulties and is currently under development.

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Feature selection is one of important and frequently used techniques in data preprocessing. It can improve the efficiency and the effectiveness of data mining by reducing the dimensions of feature space and removing the irrelevant and redundant information. Feature selection can be viewed as a global optimization problem of finding a minimum set of M relevant features that describes the dataset as well as the original N attributes. In this paper, we apply the adaptive partitioned random search strategy into our feature selection algorithm. Under this search strategy, the partition structure and evaluation function is proposed for feature selection problem. This algorithm ensures the global optimal solution in theory and avoids complete randomness in search direction. The good property of our algorithm is shown through the theoretical analysis.

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Most cellular solids are random materials, while practically all theoretical structure-property results are for periodic models. To be able to generate theoretical results for random models, the finite element method (FEM) was used to study the elastic properties of solids with a closed-cell cellular structure. We have computed the density (rho) and microstructure dependence of the Young's modulus (E) and Poisson's ratio (PR) for several different isotropic random models based on Voronoi tessellations and level-cut Gaussian random fields. The effect of partially open cells is also considered. The results, which are best described by a power law E infinity rho (n) (1<n<2), show the influence of randomness and isotropy on the properties of closed-cell cellular materials, and are found to be in good agreement with experimental data. (C) 2001 Acta Materialia Inc. Published by Elsevier Science Ltd. All rights reserved.

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A mixture model incorporating long-term survivors has been adopted in the field of biostatistics where some individuals may never experience the failure event under study. The surviving fractions may be considered as cured. In most applications, the survival times are assumed to be independent. However, when the survival data are obtained from a multi-centre clinical trial, it is conceived that the environ mental conditions and facilities shared within clinic affects the proportion cured as well as the failure risk for the uncured individuals. It necessitates a long-term survivor mixture model with random effects. In this paper, the long-term survivor mixture model is extended for the analysis of multivariate failure time data using the generalized linear mixed model (GLMM) approach. The proposed model is applied to analyse a numerical data set from a multi-centre clinical trial of carcinoma as an illustration. Some simulation experiments are performed to assess the applicability of the model based on the average biases of the estimates formed. Copyright (C) 2001 John Wiley & Sons, Ltd.

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Palpation for tenderness forms an important part of the manual therapy assessment for musculoskeletal dysfunction, In conjunction with other testing procedures it assists in establishing the clinical diagnosis. Tenderness in the thoracic spine has been reported in the literature as a clinical feature in musculoskeletal conditions where pain and dysfunction are located primarily in the upper quadrant. This study aimed to establish whether pressure pain thresholds (PPTs) of the mid-thoracic region of asymptomatic subjects were naturally lower than those of the cervical and lumbar areas. A within-subject study design was used to examine PPT at four spinal levels C6, T4, T6, and L4 in 50 asymptomatic volunteers. Results showed significant (P < 0.001) regional differences. PPT values increased in a caudal direction. The cervical region had the lowest PPT scores, that is was the most tender. Values increased in the thoracic region and were highest in the lumbar region. This study contributes to the normative data on spinal PPT values and demonstrates that mid-thoracic tenderness relative to the cervical spine is not a normal finding in asymptomatic subjects. (C) 2001 Harcourt Publishers Ltd.