Ultrassonografia Doppler na avaliação renal de cadelas diagnosticadas com piometra antes e após tratamento com ovariosalpingohisterectomia

The aim of this study was evaluate the renal hemodynamics of bitches with pyometra by means of laboratory tests, ultrasound B mode and Doppler, before and after treatment with ovariohysterectomy (OSH). This study evaluated 30 bitches with pyometra, all were subjected to OSH (moment 1) and 20 were evaluated after 7 days (moment 2). The renal perfusion, the resistivity index (RI) of the main renal artery and the interlobar arteries (cranial, middle and caudal) were statistically different between times 1 and 2 (p<0,05). There was no statistical difference for renal perfusion between the left and the right kidney at the time 1 and 2. The correlations between the IR of the main artery and the variables used to determine renal function were stablished at the time 1. For the correlated variables: urea, creatinine, proteinuria, ratio GGT/creatinine and protein/creatinine were curvilinear and positive associations with the resistivity index of the main renal artery (p<0,05), however these correlations were considered medium and weak. Comparing the RI of the main renal artery with different scores of dehydration and renal perfusion, there was statistical difference, and show increased of resistance renal in bitches with moderate reduction in renal perfusion as well as in dehydrated bitches. Were evaluated several features of renal morphology in ultrasound B mode, however, only the presence of pelvic dilatation, medullary signal and other changes as infarcts areas and diffuse hyperechoic spots in the renal cortical and medullary were statistically different from one moment to the other, most frequently at the time 2. The results of this study show that the Doppler ultrasound can identify changes of reduction in renal perfusion by color Doppler and the increasing of the resistivity index of the renal arteries in some bitches with pyometra. As well as, the ultrasound B mode, although has non-specific changes, can detect progressive renal disorders in bitches with pyometra.

Análise fatorial exploratória aplicada a dados de avaliação do estado nutricional de idosos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A ictiofauna de poças rochosas de maré: padrões de distribuição associados ao espaço e ambiente

Em estudos com comunidades biológicas, a busca por padrões de ocorrência e distribuição das espécies vêm ganhando espaço em pesquisas realizadas nas últimas décadas. O conhecimento da estrutura das comunidades e suas relações, associados às interações desses organismos com o meio ambiente, fornecem subsídios necessários para a manutenção dessas comunidades, bem como informações relevantes em planos de conservação e manejo. Sendo assim, o objetivo desta pesquisa foi avaliar o efeito do ambiente e do espaço na estruturação da assembleia de peixes de poças rochosas de maré, descrevendo o padrão de ocupação das espécies nesse ambiente, testando a hipótese de que o espaço possui maior efeito na estruturação da ictiofauna. Foram amostradas 80 poças rochosas ao longo da Zona Costeira Amazônica, sendo 40 no período de maior precipitação e 40 no período de estiagem de 2011. Estas poças estão localizadas em cinco praias do litoral paraense e foram mensuradas quanto ao volume, a distância da margem e as variáveis físico-químicas da água, como pH, temperatura e salinidade. Foram coligidos 1.311 peixes, sendo 633 indivíduos na chuva e 648 na estiagem. Os indivíduos estão distribuídos em nove ordens, 14 famílias e 21 espécies, sendo a Ordem Perciformes a ordem mais abundante, com B. soporator e L. jocu sendo as espécies mais representativas. Os resultados obtidos na rotina BioEnv evidenciaram que as variáveis abióticas pH, temperatura e volume são responsáveis pela estruturação da comunidade. O cálculo da diversidade β evidenciou uma ampla variação de dados, abrangendo desde a substituição total das espécies até comunidades idênticas entre si, quanto à ocorrência e abundância. A DCA evidenciou que o período pluviométrico não é determinante na distribuição das espécies, uma vez que não há diferença na composição entre os dois períodos. O efeito do espaço e do ambiente sobre a comunidade foi pequeno, uma vez que a maior parte da variação não foi explicada utilizando-se todas as variáveis ambientais, como em uma segunda análise, em que só foram utilizadas as variáveis definidas pela rotina BioEnv. Seguindo o mesmo padrão, a pRDA apenas para as variáveis mais correlacionadas evidenciou que: 6% respondem ao ambiente, 4% ao espaço, 2% ao ambiente e espaço e 88% são outros fatores. Os resultados obtidos nessas análises comprovam que os fatores abióticos mensurados, bem como a distância entre as amostras, não são determinantes na composição e distribuição da ictiofauna em poças rochosas, refutando assim a hipótese de que o espaço possui efeito na estruturação da ictiofauna, uma vez que as condições ambientais sofrem constantes perturbações ocasionadas pelo movimento de marés. Sendo assim, as espécies que ocupam esse ambiente se mostram adaptadas, e por isso, não teriam sua distribuição afetada pela variação dos parâmetros ambientais nessa escala de estudo, respondendo somente ao efeito do espaço.

Caracterização da demanda do pronto socorro do Hospital das Clínicas da Faculdade de Medicina de Botucatu - UNESP

The demand for health services can be understood as an application needs the user has. The inability to use the outpatient services and limited supply of these make it possible for users to browse sites that focus attention on a greater possibility of entry doors, in which first-aid centers and hospital emergency match this profile, distorting the flow of patients in the network through an inverse demand of the movement hierarchy. Added to this, the burden of care in these services results in overcrowding and poor quality of care. Evaluate the demand of the visits occurred in the Emergency Room of the Hospital of the Medical School of Botucatu / UNESP (PS - HC - FMB / UNESP) during June-July 2010. A transversal, descriptive and retrospective. For data collection sheet was used in the proposed Service unit and the data it was filled out the form with the necessary items for the search. Made an exploratory analysis and frequency distributions for categorical variables of the form. Females predominated (56%) and aged 61 years or older with 30%. 96.5% were owned by DRS VI, and 62.5% of Botucatu. The attendance by the physician on duty and corresponded to 57.7% among the 23 medical specialties, Gastric (7.0%), Cardiology (4.5%), Medical (4.4%), urology (4.2%) and Pulmonology (4.1%) were the ones that stood out. The medical procedures performed that stood out were X-ray (46.4%) and electrocardiogram (ECG) (42.3%) and in most specialty care occurred, only the daily consultation with the patient. It was possible to characterize, so the demand for PS - HC - FMB / UNESP for the period June- July 2010, The predominance of the elderly shows that come along with aging diseases and addictions, causing a greater need for health services. Moreover, this study showed that the high number of visits is related to both the daily demands that the tertiary hospital has the same transformation... (Complete abstract click electronic access below)

A Combinatorial Approach to the Variable Selection in Multiple Linear Regression: Analysis of Selwood et al Data set -A Case Study.

A combinatorial protocol (CP) is introduced here to interface it with the multiple linear regression (MLR) for variable selection. The efficiency of CP-MLR is primarily based on the restriction of entry of correlated variables to the model development stage. It has been used for the analysis of Selwood et al data set [16], and the obtained models are compared with those reported from GFA [8] and MUSEUM [9] approaches. For this data set CP-MLR could identify three highly independent models (27, 28 and 31) with Q2 value in the range of 0.632-0.518. Also, these models are divergent and unique. Even though, the present study does not share any models with GFA [8], and MUSEUM [9] results, there are several descriptors common to all these studies, including the present one. Also a simulation is carried out on the same data set to explain the model formation in CP-MLR. The results demonstrate that the proposed method should be able to offer solutions to data sets with 50 to 60 descriptors in reasonable time frame. By carefully selecting the inter-parameter correlation cutoff values in CP-MLR one can identify divergent models and handle data sets larger than the present one without involving excessive computer time.

Social Salience and the Sociolinguistic Monitor: a Case Study of ING and TH-fronting in Britain

This article examines the role of social salience, or the relative ability of a linguistic variable to evoke social meaning, in structuring listeners’ perceptions of quantitative sociolinguistic distributions. Building on the foundational work of Labov et al. (2006, 2011) on the “sociolinguistic monitor” (a proposed cognitive mechanism responsible for sociolinguistic perception), we examine whether listeners’ evaluative judgments of speech change as a function of the type of variable presented. We consider two variables in British English, ING and TH-fronting, which we argue differ in their relative social salience. Replicating the design of Labov et al.’s studies, we test 149 British listeners’ reactions to different quantitative distributions of these variables. Our experiments elicit a very different pattern of perceptual responses than those reported previously. In particular, our results suggest that a variable’s social salience determines both whether and how it is perceptually evaluated. We argue that this finding is crucial for understanding how sociolinguistic information is cognitively processed.

Chloride as a signature indicator of soil textural and hydrologic stratigraphies in variable charge deep profiles

Soil properties that influence water movement through profiles are important for determining flow paths, reactions between soil and solute, and the ultimate destination of solutes. This is particularly important in high rainfall environments. For highly weathered deep profiles, we hypothesize that abrupt changes in the distribution of the quotient [QT = (silt + sand)/clay] reflect the boundaries between textural units or textural (TS) and hydrologic (HS) stratigraphies. As a result, QT can be used as a parameter to characterize TS and as a surrogate for HS. Secondly, we propose that if chloride distributions were correlated with QT, under non-limiting anion exchange, then chloride distributions can be used as a signature indicator of TS and HS. Soil cores to a depth of 12.5 in were taken from 16 locations in the wet tropical Johnstone River catchment of northeast Queensland, Australia. The cores belong to nine variable charge soil types and were under sugarcane (Saccharun officinarum-S) production, which included the use of potassium chloride, for several decades. The cores were segmented at I m depth increments and subsamples were analysed for chloride, pH, soil water content (theta), clay, silt and sand contents. Selected bores were capped to serve as piezometers to monitor groundwater dynamics. Depth incremented QT, theta and chloride correlated, each individually, significantly with the corresponding profile depth increments, indicating the presence of textural, hydrologic and chloride gradients in profiles. However, rapid increases in QT down the profile indicated abrupt changes in TS, suggesting that QT can be used as a parameter to characterize TS and as a surrogate for HS. Abrupt changes in chloride distributions were similar to QT, suggesting that chloride distributions can be used as a signature indicator of QT (TS) and HS. Groundwater data indicated that chloride distributions depended, at least partially, on groundwater dynamics, providing further support to our hypothesis that chloride distribution can be used as a signature indicator of HS. Copyright (c) 2005 John Wiley & Sons, Ltd.

Data visualisation and exploration with prior knowledge

Visualising data for exploratory analysis is a major challenge in many applications. Visualisation allows scientists to gain insight into the structure and distribution of the data, for example finding common patterns and relationships between samples as well as variables. Typically, visualisation methods like principal component analysis and multi-dimensional scaling are employed. These methods are favoured because of their simplicity, but they cannot cope with missing data and it is difficult to incorporate prior knowledge about properties of the variable space into the analysis; this is particularly important in the high-dimensional, sparse datasets typical in geochemistry. In this paper we show how to utilise a block-structured correlation matrix using a modification of a well known non-linear probabilistic visualisation model, the Generative Topographic Mapping (GTM), which can cope with missing data. The block structure supports direct modelling of strongly correlated variables. We show that including prior structural information it is possible to improve both the data visualisation and the model fit. These benefits are demonstrated on artificial data as well as a real geochemical dataset used for oil exploration, where the proposed modifications improved the missing data imputation results by 3 to 13%.

Fair testing in employment selection

This project represents the collaboration of Charta Mede Ltd and the Interdisciplinary Higher Degrees Scheme at the University of Aston. The aim of the project was to monitor the effects of the Civil Service's Executive Officer Qualifying Test Battery on minority group applicants. Prior to monitoring the EO Test Battery, however, an ethnic classification had to be developed which was reliable, acceptable to respondents and appropriate for monitoring. Three pilot studies were conducted to examine these issues, during which different classifications and different ways of asking the question were trialled. The results indicated that by providing more precise instructions as to the meanings of categories, it was possible to obtain classifications which were acceptable and reliable. However, there were also certain terms and expressions which should be avoided such as those referring to colour and anthropological racial groups. Two classifications were used in the Executive Officer Study - one derived from an Office of Population Censuses and Surveys classification and one developed for this project - the MultiCultural British Classification. The results indicated that some minority groups (Asians, West Indians and Africans in particular) pass the tests in significantly lower proportions than the majority group and also score significantly less well on the tests. Factors which were significantly related to pass/fail and test scores included educational qualifications and age on entering the UK (the latter being negatively correlated). Using variables in this study, however, it was only possible to account for 5% of the variance in pass/fail rates and 11% of the variance in test scores. Analyses of covariance carried out indicated that the differences in test scores still remained even though the effects of significantly correlated variables were removed. Although indirect discrimination could not be inferred from the data, further research into differential validity and fairer methods of select ion is needed.

Productivity analysis and measurement

The state of the art in productivity measurement and analysis shows a gap between simple methods having little relevance in practice and sophisticated mathematical theory which is unwieldy for strategic and tactical planning purposes, -particularly at company level. An extension is made in this thesis to the method of productivity measurement and analysis based on the concept of added value, appropriate to those companies in which the materials, bought-in parts and services change substantially and a number of plants and inter-related units are involved in providing components for final assembly. Reviews and comparisons of productivity measurement dealing with alternative indices and their problems have been made and appropriate solutions put forward to productivity analysis in general and the added value method in particular. Based on this concept and method, three kinds of computerised models two of them deterministic, called sensitivity analysis and deterministic appraisal, and the third one, stochastic, called risk simulation, have been developed to cope with the planning of productivity and productivity growth with reference to the changes in their component variables, ranging from a single value 'to• a class interval of values of a productivity distribution. The models are designed to be flexible and can be adjusted according to the available computer capacity expected accuracy and 'presentation of the output. The stochastic model is based on the assumption of statistical independence between individual variables and the existence of normality in their probability distributions. The component variables have been forecasted using polynomials of degree four. This model is tested by comparisons of its behaviour with that of mathematical model using real historical data from British Leyland, and the results were satisfactory within acceptable levels of accuracy. Modifications to the model and its statistical treatment have been made as required. The results of applying these measurements and planning models to the British motor vehicle manufacturing companies are presented and discussed.

Extended principal component analysis and its applications to image analysis

The objectives of this research are to analyze and develop a modified Principal Component Analysis (PCA) and to develop a two-dimensional PCA with applications in image processing. PCA is a classical multivariate technique where its mathematical treatment is purely based on the eigensystem of positive-definite symmetric matrices. Its main function is to statistically transform a set of correlated variables to a new set of uncorrelated variables over $\IR\sp{n}$ by retaining most of the variations present in the original variables.^ The variances of the Principal Components (PCs) obtained from the modified PCA form a correlation matrix of the original variables. The decomposition of this correlation matrix into a diagonal matrix produces a set of orthonormal basis that can be used to linearly transform the given PCs. It is this linear transformation that reproduces the original variables. The two-dimensional PCA can be devised as a two successive of one-dimensional PCA. It can be shown that, for an $m\times n$ matrix, the PCs obtained from the two-dimensional PCA are the singular values of that matrix.^ In this research, several applications for image analysis based on PCA are developed, i.e., edge detection, feature extraction, and multi-resolution PCA decomposition and reconstruction. ^

Avaliação da efetividade do Programa de Alimentação do Trabalhador

This study analyzed the Worker’s Healthy Eating Program in Rio Grande do Norte state (RN) to assess its possible impact on the nutritional status of the workers benefitted. To that end, we conducted a cross-sectional observational prospective study based on a multistage stratified random sample comparing 26 small and medium-sized companies from the Manufacturing Sector (textiles, food and beverages, and nonmetallic minerals) of RN, divided into two equal groups (WFP and Non WFP). Interviews were conducted at each company by trained interviewers from Tuesday to Saturday between September and December 2014. Data were collected on the company (characterization and information regarding the program’s desired results) and workers (personal and professional information, anthropometrics, health, lifestyle and food consumed the previous day). Population estimates were calculated for RN on the characteristics of workers and the study variables. The main variable was BMI. The secondary variables were waist circumference (WC), nutritional diagnosis, calorie intake, blood pressure, metabolic variables and lifestyle indicators. The statistical method used was hierarchical mixed effects linear regression for interval variables and hierarchical mixed effects logistic regression for binary variables. The variables measured in ordinal scales were analyzed by ordinal logistic regression adjusted for correlated variables, adopting robust standard errors. The results for interval variables are presented as point estimates and their 95% confidence intervals; and as odds-ratios and their 95% confidence intervals for binary variables. The Fisher’s exact and Student’s t-tests were used for simple comparisons between proportions and means, respectively. Differences were considered statistically significant at p<0.05. A total of 1069 workers were interviewed, of which 541 were from the WFP group and 528 from the Non WFP group. Subjects were predominantly males and average age was 34.5 years. Significant intergroup differences were observed for schooling level, income above 1 MW (minimum wage) and specific training for their position at the company. The results indicated a significant difference between the BMI of workers benefitted, which was on average 0.989 kg/m2 higher than the BMI of workers from the Non WFP group (p=0.002); and between the WC, with the waist circumference of WFP group workers an average of 1.528 cm larger (p<0.05). Higher prevalence of overweight and obesity (p<0.001) and cardiovascular risk (p=0.038) were recorded in the WFP group. Tests on the possible effect of the WFP on health (blood pressure and metabolic indicators) and lifestyle indicators (smoking, alcohol consumption and exercise) were not significant. With respect to worker’s diets, differences were significant for consumption of saturated fat (lunch and daily intake), salt (lunch, other meals and daily intake) and proteins (other meals and daily intake), with higher consumption of these nutrients in the WFP group. The study showed a possible positive impact of the WFP on nutritional status (BMI and WC) among the workers benefitted. No possible effects of the program were observed for the lifestyle indicators studied. Workers benefitted consumed less salt, saturated fat and protein. The relevance of the WFP is recognized for this portion of society and it is understood that, if the program can reach and impact those involved, the development of educational initiatives aimed at nutritional and food safety may also exert a positive influence.

Feature Selection for Anomaly Detection Using Optical Emission Spectroscopy

To maintain the pace of development set by Moore's law, production processes in semiconductor manufacturing are becoming more and more complex. The development of efficient and interpretable anomaly detection systems is fundamental to keeping production costs low. As the dimension of process monitoring data can become extremely high anomaly detection systems are impacted by the curse of dimensionality, hence dimensionality reduction plays an important role. Classical dimensionality reduction approaches, such as Principal Component Analysis, generally involve transformations that seek to maximize the explained variance. In datasets with several clusters of correlated variables the contributions of isolated variables to explained variance may be insignificant, with the result that they may not be included in the reduced data representation. It is then not possible to detect an anomaly if it is only reflected in such isolated variables. In this paper we present a new dimensionality reduction technique that takes account of such isolated variables and demonstrate how it can be used to build an interpretable and robust anomaly detection system for Optical Emission Spectroscopy data.

Indicadores de Resiliência em Adolescentes Institucionalizados: o papel da vinculação aos pares, aos professores e aos funcionários da instituição

Ser resiliente implica ser capaz de adaptar positivamente a contextos de grande adversidade. Esta capacidade depende de múltiplos fatores (individuais, relacionais e contextuais) cuja mobilização se encontra dificultada entre os adolescentes cujo desenvolvimento ficou comprometido pela experiência de maus-tratos. Quando protegidos pelo acolhimento institucional, é nos pares, nos professores e nos funcionários da instituição que estes adolescentes encontram o cuidado, o suporte e o encorajamento de que necessitam, e que tanto pesa sobre o seu bem-estar. Foi, assim, objetivo deste estudo examinar o papel que a qualidade da vinculação aos pares, professores e funcionários da instituição desempenha na promoção da resiliência em adolescentes institucionalizados. Os dados foram recolhidos junto de 45 adolescentes (18 rapazes e 27 raparigas), com idades compreendidas entre os 10 e os 20 anos, em regime de acolhimento institucional prolongado. Para o efeito foram utilizados um breve questionário sociodemográfico, o Child and Youth Resilience Measure – 28 – versão para Jovens (Liebenberg, Ungar & Van de Vijver, 2012; versão portuguesa Ferreira & Nobre-Lima, 2013), o Inventory of Parent and Peer Attachment Revised (Armsden & Greenberg, 1987; versão portuguesa Figueiredo & Machado, 2008) – versão para Pares e Professores – e o Questionário de Ligação aos Professores e Funcionários (Mota & Matos, 2005). Ainda que tenham sido encontradas correlações significativas entre a resiliência e cada uma das variáveis em estudo, a percepção de vinculação aos pares e aos funcionários da instituição sobressaem como as variáveis que melhor explicam a resiliência nestes adolescentes, em particular nos rapazes. Já nas raparigas, a única variável que parece explicar a resiliência é a percepção de vinculação aos funcionários da instituição. A discussão explora estes resultados em termos do seu significado e implicações práticas. / Being resilient implies the ability to positively adapt to contexts of great adversity. This ability depends on a variety of factors (individual, relational and contextual) that are mostly non operative among the adolescents whose development was compromised by maltreatment. When protected by residential care these adolescents rest on peers, teachers and residential caregivers to find the care, support and encouragement they need to improve their sense of wellbeing. Therefore, the aim of this study was to examine how attachment to peers, teachers and residential caregivers can contribute to foster resilience in institutionalized adolescents. Data was collected from a sample of 45 adolescents (18 boys and 27 girls), aged between 10 and 20 years old, under extended placement in an institution. The PI is composed by a brief social-demographic questionnaire, the Child and Youth Resilience Measure – 28 – Youth version (Liebenberg, Ungar & Van de Vijver, 2012, Portuguese version Ferreira & Nobre- Lima, 2013), the Inventory of Parent and Peer Attachment Revised (Armsden & Greenberg, 1987; Portuguese version Figueiredo & Machado, 2008) – Peers and Teacher’s version – and the Questionnaire of the Affective Relationship with Teachers and Employees (Mota & Matos, 2005). Although findings showed significant correlations between resilience and each one of the variables in study, the perception of attachment to peers and residential caregivers stood out as the most correlated variables to resilience among these adolescents, mainly among the boys. Conversely, the only variable that seems to explain resilience among girls is the perception of attachment to residential caregivers. The discussion explores the possible meaning and practical implications of these findings.

Role of climate on barn owls road-kill likelihood and the effect on population viability in future climate change

Roads represent a new source of mortality due to animal-vehicle risk of collision threatening log-term populations’ viability. Risk of road-kill depends on species sensitivity to roads and their specific life-history traits. The risk of road mortality for each species depends on the characteristics of roads and bioecological characteristics of the species. In this study we intend to know the importance of climatic parameters (temperature and precipitation) together with traffic and life history traits and understand the role of drought in barn owl population viability, also affected by road mortality in three scenarios: high mobility, high population density and the combination of previous scenarios (mixed) (Manuscript). For the first objective we correlated the several parameters (climate, traffic and life history traits). We used the most correlated variables to build a predictive mixed model (GLMM) the influence of the same. Using a population model we evaluated barn owl population viability in all three scenarios. Model revealed precipitation, traffic and dispersal have negative relationship with road-kills, although the relationship was not significant. Scenarios showed different results, high mobility scenario showed greater population depletion, more fluctuations over time and greater risk of extinction. High population density scenario showed a more stable population with lower risk of extinction and mixed scenario showed similar results as first scenario. Climate seems to play an indirect role on barn owl road-kills, it may influence prey availability which influences barn owl reproductive success and activity. Also, high mobility scenario showed a greater negative impact on viability of populations which may affect their ability and resilience to other stochastic events. Future research should take in account climate and how it may influence species life cycles and activity periods for a more complete approach of road-kills. Also it is important to make the best mitigation decisions which might include improving prey quality habitat.