Caracterização da serie Piracicaba

O presente trabalho teve por finalidade o estudo morfológico, físico, químico e taxonómico da serie Piracicaba. Foram coletados, na área de ocorrência desta serie, quatro perfis designados por perfis P1, P2, P3 e P4. As amostras dos horizontes foram colhidas a partir da superfície do solo até a rocha, sendo realizadas nestas camadas análises mecânica e química. A fração argila foi separada por sedimentação, sendo posteriormente dividida em duas subfrações: 2 a 0,2 u e menor que 0,2 u, argila grossa e fina, respectivamente. Os dados referentes à analise mecânica revelaram que a variação média extrema do horizonte B2 é de 27,05 ± 0,89 e 34,95 ± 0,88%. Estes solos foram classificados como Typic Tropudalfs e nao se enquadram no conceito modal do Podzolico Vermelho-Amarelo variação Piracicaba da COMISSÃO DE SOLOS (2).This paper deals with the study and classification of a proposed Piracicaba soil series. Four soil profiles were described studied and classified according to the 7th Approximation. By using a centrifugation method the clay was separated into two fractions: between 2 to 0,2 u and down to 0,2 u, respectivelly coarse and fine clay fractions. The results show a silt content variying between 9.70 ± 0.33 to 21.06 ± 0.50 % and a clay content between 27.05 ± 34.95 ± 0.88 % in the B2 horizons. The Piracicaba soil series is a Typic Tropudalf and does not fit the criteria for Red Yellow Podzolic variação Piracicaba established in 1960 by the COMISSÃO DE SOLOS

Psiconeuroendocrinoimunologia do estresse

As pessoas vivem um presente repleto de exigências (trabalho, família, sociedade, estudo e outros) que os leva sempre a uma nova forma de adaptação. Quando o organismo se depara com alguma “novidade”, o mesmo entra numa situação de estresse. O estresse não é inicialmente uma doença e sim, uma forma que o organismo encontra de se adaptar a uma diferente situação, seja ela psicológica, fisiológica, psicossocial ou física. No início o estresse é positivo, mas pode tornar-se negativo, caso o indivíduo não consiga administrá-lo. Esse estresse percorre primeiramente a fase de adaptação, em seguida a de resistência e por último a de exaustão. Essa última é a fase que pode levar o indivíduo a ter alguma doença, pois o sistema imunológico – que é o sistema responsável pela defesa do organismo – é atingido. Além de atingir o sistema imunológico, o sistema endócrino também se torna debilitado, causando assim várias modificações no funcionamento normal do corpo. É possível perceber, que existe uma grande relação entre o emocional e os sistemas imunológico e endócrino, por esse motivo surgiu a psiconeuroendocrinoimunologia. Essa especialidade tornou-se muito importante para o estudo das conseqüências do estresse no organismo que levou a criação de várias instituições responsáveis por essa especialidade

Soil classification based on spectral and environmental variables

In the last decades, the volume of soil data collection has increased significantly. Because of that it is now possible to obtain a soil classification using spectral, climate and terrain attributes. The idea was to develop a soil series system, which intends to discriminate soil types according to soil, climate and terrain variables. This new system was called Soil-Environmental Classification

Soil classification from visible/near-infrared diffuse reflectance spectra at multiple depths.

Abstract : Visible/near-infrared diffuse reflectance spectroscopy (VNIRS) offers an alternative to conventional analytical methods to estimate various soil attributes. However, the use of VNIRS in soil survey and taxonomic classification is still underexplored. We investigated the potential use of VNIRS to classify soils in a region with variable soils, geology, and topography in southeastern Brazil. We combined principal component (PC) analysis, and multinomial logistic regression to classify 291 soils at the levels of suborder (second highest), and suborder with textural classification (STC), described in the field according to the Brazilian Soil Classification System. Soil visible/near-infrared (400-2500 nm) spectra were collected from three depth intervals (0-20, 40-60, and 80-100 cm), and combined in sequence to compose a pseudo multi-depth spectral curve, which was used to derive the classification models. The percent of correctly classified soils at the suborder level was 79% using 20 PCs, and 96% using 30 PCs. At the STC level, soils were correctly classified in 100%, and 78% of the cases using 20, and 30 PCs, respectively. Given the inherent complexity and variability within soil taxonomic groups, and in contrast the similarity among different groups, combining spectral data from different depths in multivariate classification offered a simple and inexpensive solution to adequately distinguish soils. This novel approach could improve soil classification and survey in a cost-efficient manner, supporting sustainable use, and management of tropical soils

Mechanical evaluation of the resistance and elastance of post-burn scars after topical treatment with tretinoin

OBJECTIVE: After burn injuries, scarred skin lacks elasticity, especially in hypertrophic scars. Topical treatment with tretinoin can improve the appearance and quality of the skin (i.e., texture, distensibility, color, and hydration). The objective of this prospective study was to examine the effects of treatment with 0.05% tretinoin for one year on the biomechanical behavior and histological changes undergone by facial skin with post-burn scarring. Setting: Tertiary, Institutional. METHOD: Fifteen female patients who had suffered partial thickness burns with more than two years of evolution were selected. Skin biopsies were obtained initially and after one year of treatment. The resistance and elastance of these skin biopsies were measured using a mechanical oscillation analysis system. The density of collagen fibers, elastic fibers, and versican were determined using immunohistochemical analysis. RESULTS: Tretinoin treatment significantly lowered skin resistance and elastance, which is a result that indicates higher distensibility of the skin. However, tretinoin treatment did not significantly affect the density of collagen fibers, elastic fibers, or versican. CONCLUSION: Topical tretinoin treatment alters the mechanical behavior of post-burn scarred skin by improving its distensibility and thus leads to improved quality of life for patients

Resposta da cultura do milho a adubação nitrogenada após cultivo de tremoço branco (Lupinus albus) em duas unidades de solos.

Este trabalho teve por objetivo estudar a influência de dois fertilizantes nitrogenados na produção de grãos e de matéria seca do milho nos solos Podzolico Vermelho Amarelo Latossolico eutrofico (PVLe) e Podzolico Vermelho Amarelo Latossolico distrofico (PVLd), cultivados previamente com tremoço branco

Comportamento espectral de alguns perfis modais de solos do Estado de São Paulo, Brasil

Remote sensing has a high potential for environmental evaluation. However, a necessity exists for a better understanding of the relations between the soil attributes and spectral data. The objective of this work was to analyze the spectral behavior of some soil profiles from the region of Piracicaba, São Paulo State, using a laboratory spectroradiometer (400 to 2500 nm). The relations between the reflected electromagnetic energy and the soil physical, chemical and mineralogical attributes were analyzed, verifying the spectral variations of soil samples in depth along the profiles with their classification and discrimination. Sandy soil reflected more, presenting a spectral curve with an ascendant form, opposite to clayey soils. The 1900 nm band discriminated soil with 2:1 mineralogy from the 1:1 and oxidic soils. It was possible to detect the presence of kaolinite, gibbsite, hematite and goethite in the soils through the descriptive aspects of curves, absorption features and reflectance intensity. A relation exists between the weathering stage and spectral data. The evaluation of the superficial and subsuperficial horizon samples allowed characterizing and discriminating the analytical variability of the profile, helping to soil distinguishing and classification

Odours Influence Visually Induced Emotion: Behavior and Neuroimaging

The present study was conducted to investigate the influence of olfaction on subjective valence intensity ratings of visual presentations. Pictures of five different categories (baby, flower, erotic, fear and disgust) were presented each being associated with five different odour conditions [no odour, low and high concentrations of phenylethyl alcohol (positive odour) and low and high concentrations of hydrogen sulphide (negative odour)]. Study participants had to rate the emotional content of each picture with respect to valence and intensity while brain activities were recorded with a whole-cortex magnetoencephalograph (MEG). A significant interaction between odour condition and picture category with respect to rating performance was found. In particular, positive valence intensity ratings related to flowers were increased in positive and negative odour conditions. Negative valence intensity ratings related to disgusting pictures were also increased in positive and negative odour conditions. The only decrease was found in the baby category in the high concentration negative odour condition. No behavioural effects were found for the categories erotic and fear. Around 300 ms after stimulus onset odour-related brain activity effects were found for all picture categories. On the other hand, around 700 ms after stimulus onset odour-related brain activity effects occurred only in the flower, fear and disgust picture categories. We interpret that early information processing demonstrates more pronounced olfactory and visually induced emotion interaction than later information processing. Since the early time window more likely reflects subconscious information processing we interpret that interaction between olfaction and visually induced emotion mostly occurs below the level of consciousness. Later, rather conscious information processing, seems to be differently influenced by simultaneous olfaction depending on the kind of emotion elicited through the sense of vision

GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores

<p>Abstract</p> <p>Background</p> <p>Gene-gene interaction in genetic association studies is computationally intensive when a large number of SNPs are involved. Most of the latest Central Processing Units (CPUs) have multiple cores, whereas Graphics Processing Units (GPUs) also have hundreds of cores and have been recently used to implement faster scientific software. However, currently there are no genetic analysis software packages that allow users to fully utilize the computing power of these multi-core devices for genetic interaction analysis for binary traits.</p> <p>Findings</p> <p>Here we present a novel software package GENIE, which utilizes the power of multiple GPU or CPU processor cores to parallelize the interaction analysis. GENIE reads an entire genetic association study dataset into memory and partitions the dataset into fragments with non-overlapping sets of SNPs. For each fragment, GENIE analyzes: 1) the interaction of SNPs within it in parallel, and 2) the interaction between the SNPs of the current fragment and other fragments in parallel. We tested GENIE on a large-scale candidate gene study on high-density lipoprotein cholesterol. Using an NVIDIA Tesla C1060 graphics card, the GPU mode of GENIE achieves a speedup of 27 times over its single-core CPU mode run.</p> <p>Conclusions</p> <p>GENIE is open-source, economical, user-friendly, and scalable. Since the computing power and memory capacity of graphics cards are increasing rapidly while their cost is going down, we anticipate that GENIE will achieve greater speedups with faster GPU cards. Documentation, source code, and precompiled binaries can be downloaded from <url>http://www.cceb.upenn.edu/~mli/software/GENIE/</url>.</p

Efficient Parallel Statistical Model Checking of Biochemical Networks

We consider the problem of verifying stochastic models of biochemical networks against behavioral properties expressed in temporal logic terms. Exact probabilistic verification approaches such as, for example, CSL/PCTL model checking, are undermined by a huge computational demand which rule them out for most real case studies. Less demanding approaches, such as statistical model checking, estimate the likelihood that a property is satisfied by sampling executions out of the stochastic model. We propose a methodology for efficiently estimating the likelihood that a LTL property P holds of a stochastic model of a biochemical network. As with other statistical verification techniques, the methodology we propose uses a stochastic simulation algorithm for generating execution samples, however there are three key aspects that improve the efficiency: first, the sample generation is driven by on-the-fly verification of P which results in optimal overall simulation time. Second, the confidence interval estimation for the probability of P to hold is based on an efficient variant of the Wilson method which ensures a faster convergence. Third, the whole methodology is designed according to a parallel fashion and a prototype software tool has been implemented that performs the sampling/verification process in parallel over an HPC architecture