Automatic Detection and Classification of Glioma Tumors using Statistical Features

The characterization and grading of glioma tumors, via image derived features, for diagnosis, prognosis, and treatment response has been an active research area in medical image computing. This paper presents a novel method for automatic detection and classification of glioma from conventional T2 weighted MR images. Automatic detection of the tumor was established using newly developed method called Adaptive Gray level Algebraic set Segmentation Algorithm (AGASA).Statistical Features were extracted from the detected tumor texture using first order statistics and gray level co-occurrence matrix (GLCM) based second order statistical methods. Statistical significance of the features was determined by t-test and its corresponding p-value. A decision system was developed for the grade detection of glioma using these selected features and its p-value. The detection performance of the decision system was validated using the receiver operating characteristic (ROC) curve. The diagnosis and grading of glioma using this non-invasive method can contribute promising results in medical image computing

An approximation to the informal-formal wage gap in Colombia 2008-2012

This document provides recent evidence about the persistency of wage gaps between formal and informal workers in Colombia by using a non-parametric method proposed by Ñopo (2008a). Over a rich dataset at a household level during 2008-2012, it is found that formal workers earn between 30 to 60 percent more, on average, than informal workers. Despite of the formality definition - structuralist or institucionalist- adopted, it is clear that formal workers have more economic advantages than informal ones, but after controlling by demographic and labor variables an important fraction of the gap still remains unexplained.

Identification of forged Bank of England £20 banknotes using IR spectroscopy

Bank of England notes of £20 denomination have been studied using infrared spectroscopy in order to generate a method to identify forged notes. An aim of this work was to develop a non-destructive method so that a small, compact Fourier transform infrared spectrometer (FT-IR) instrument could be used by bank workers, police departments or others such as shop assistants to identify forged notes in a non-lab setting. The ease of use of the instrument is the key to this method, as well as the relatively low cost. The presence of a peak at 1400 cm−1 arising from νasym () from the blank paper section of a forged note proved to be a successful indicator of the note’s illegality for the notes that we studied. Moreover, differences between the spectra of forged and genuine £20 notes were observed in the ν(OH) (ca. 3500 cm−1), ν(CH) (ca. 2900 cm−1) and ν(CO) (ca. 1750 cm−1) regions of the IR spectrum recorded for the polymer film covering the holographic strip. In cases where these simple tests fail, we have shown how an infrared microscope can be used to further differentiate genuine and forged banknotes by producing infrared maps of selected areas of the note contrasting inks with background paper.

Alkaline phosphatase as a reporter of sigma(S) levels and rpoS polymorphisms in different E-coli strains

sigma(S) is responsible for the transcriptional regulation of genes related to protection against stresses and bacterial survival and it accumulates in the cell under conditions of stress, such as nutrient limitation. An increase in the levels of sigma(S) causes a reduction in the expression of genes that are transcribed by RNA polymerase associated with the principal sigma factor, sigma(70). phoA, that encodes alkaline phosphatase (AP) is expressed under phosphate shortage conditions, and is also repressed by sigma(S). Here we show that in a Pi-limited chemostat, accumulation of rpoS mutations is proportional to the intrinsic level of sigma(S) in the cells. Acquisition of mutations in rpoS relieves repression of the PHO genes. We also devised a non-destructive method based on the rpoS effect on AP that differentiates between rpo(S+) and rpoS mutants, as well as between high and low-sigma(S) producers. Using this method, we provide evidence that sigma(S) contributes to the repression of AP under conditions of Pi excess and that AP variation among different strains is at least partly due to intrinsic variation in sigma(S) levels. Consequently, a simple and non-destructive AP assay can be employed to differentiate between strains expressing different levels of sigma(S) on agar plates.

Sistema de aquisição do ciclo pressão-volume cardíaco por métodos não-invasivos

A aquisição do ciclo pressão-volume é de grande importância para diagnóstico de cardiopatias e principalmente para o acompanhamento de intervenções terapêuticas, porém os métodos hoje utilizados são caros e agressivos ao paciente, reduzindo por estes motivos sua aplicação. Este estudo pretende obter, por métodos não-invasivos, o ciclo pressão-volume do ventrículo esquerdo de pacientes humanos. Isto consiste na aquisição dos sinais P(t) e V(t) simultaneamente e a apresentação de um gráfico P(V). Para tanto, após a revisão bibliográfica, decidiu-se utilizar a ecocardiografia com detecção automática de bordos, para obtenção do volume ventricular e a medição da onda de pressão transmitida através da artéria braquial para um manguito inflado com ar, conectado a um transdutor piezo-resistivo em ponte. A aquisição da pressão pelo método não-invasivo é comparada a dados resultantes da aquisição invasiva da pressão arterial por catéter intra-aórtico que é considerado padrãoouro. Os sinais são condicionados e digitalizados em uma placa de aquisição com conversor A/D de 8 bits e micro controlador 80c196. Os dados digitalizados são então enviados serialmente para um computador onde são gerados os gráficos. Obteve-se de cinco pacientes nove aquisições simultâneas da pressão invasiva através de catéter intra-aórtico e do protótipo desenvolvido resultando concordância segundo o método de Bland e Altman (1986) (r=0,989; d + 2s= 6,52; d - 2s =-6,07), comprovando a eficiência do método de aquisição. Obteve-se resultado satisfatório também quanto à operação sistema desenvolvido pois foram realizadas dez aquisições em cinco pacientes, registrando-se gráficos bastante similares aos apresentados na literatura disponível.

A study on time-varying quantile and its applications

This Thesis is the result of my Master Degree studies at the Graduate School of Economics, Getúlio Vargas Foundation, from January 2004 to August 2006. am indebted to my Thesis Advisor, Professor Luiz Renato Lima, who introduced me to the Econometrics' world. In this Thesis, we study time-varying quantile process and we develop two applications, which are presented here as Part and Part II. Each of these parts was transformed in paper. Both papers were submitted. Part shows that asymmetric persistence induces ARCH effects, but the LMARCH test has power against it. On the other hand, the test for asymmetric dynamics proposed by Koenker and Xiao (2004) has correct size under the presence of ARCH errors. These results suggest that the LM-ARCH and the Koenker-Xiao tests may be used in applied research as complementary tools. In the Part II, we compare four different Value-at-Risk (VaR) methodologies through Monte Cario experiments. Our results indicate that the method based on quantile regression with ARCH effect dominates other methods that require distributional assumption. In particular, we show that the non-robust method ologies have higher probability to predict VaRs with too many violations. We illustrate our findings with an empirical exercise in which we estimate VaR for returns of São Paulo stock exchange index, IBOVESPA, during periods of market turmoil. Our results indicate that the robust method based on quantile regression presents the least number of violations.

O Conselho Municipal de Desenvolvimento Sustentável (CMDS) e a gestão de recursos hídricos: um estudo na Bacia do Rio Itabapoana (RJ)

O objetivo desta dissertação é analisar a forma de atuação do CMDS, e sua contribuição para a gestão dos recursos hídricos nos cinco municípios do Rio de Janeiro pertencentes à bacia do rio Itabapoana. O presente estudo foi conduzido a partir de uma discussão teórica sobre os temas: desenvolvimento local, cidadania, desenvolvimento local com cidadania e gestão social. Posteriormente, foram realizadas entrevistas temáticas, baseadas no método não probabilístico, com uma amostra composta por 38 pessoas, entre conselheiros do CMDS (membros do poder público e sociedade civil organizada), técnico, consultores e gestores do Sebrae/RJ. No tratamento dos dados foi utilizada a análise de discurso. Foram identificados aspectos negativos e positivos no que diz respeito à atuação e funcionamento do Conselho nos municípios analisados. Mesmo assim, pode-se verificar que grande parte dos conselheiros tem experiência anterior em Conselhos e movimentos sociais, e que o Projeto Managé, por meio da atuação dos CMDS, ajudou a construir uma identidade territorial para a bacia e também despertou a necessidade de maior conscientização e preservação do meio ambiente. Pode-se concluir que a forma de atuação do CMDS depende da interação e do nível de comprometimento do poder público e da sociedade civil organizada. Portanto, as condições institucionais locais exercem importante influência nas formas de mobilização social e participação dos indivíduos, visto que o processo de gerenciamento de recursos hídricos da bacia encontra-se ainda em fase de construção

A democratização da política pública e o fortalecimento da cidadania. Conhecendo o projeto Casa Brasil : unidades Vitória e Vila Velha

The purpose of this dissertation is to analyze the Casa Brasil Project and its contribution for promoting actions related to citizenship in Vitoria and Vila Velha cities. The essay was led through a theoretical discussion about citizenship, public space, social participation and public politics. Thereafter thematic interviews based on a non-probabilistic method were done with seventeen people such as public power representatives, organized civilian society and community. The speech analysis was used for data treatment. Some negative and positive aspects referred to citizenship and public power were identified. The aim of the research was checking if there is any encouragement to a genuine and consciousness participation of the society for the structure and continuous citizenship practice. The Casa Brasil Project experience in Vitoria and Vila Velha demonstrates that its sustainability and effectiveness depend on how interacted and committed the strategic stakeholders are, since the condition of local institutions influences the model of social mobilization and individual participation. Besides, this essay shows it is necessary: to improve the citizen involvement ¿ by implementing the board of directors, which assures public participation in order to stimulate the community to take the unity control ¿ to grant democratic feature to the public power, and to increase citizenship.

A PPCCIPS: a Política Pública da Coleta Complementar Itinerante e Programada de Sangue, sob a luz da teoria do ciclo da política pública

This study aimed to focus on aspects of public administration concerning the implementation of the public policy of complementary blood collection by the itinerant and scheduled PPCCIPS services either trough off local unity or mobile unit blood collection operations, which are managed by the State Institute of Hematology Arthur de Siqueira Cavalcanti - HEMORIO. The case study method was used in that public health institutional field, in search for a better understanding of responsibilities and management related to collection, serology, fractionation, storage and distribution of blood supply to almost all public hospitals and clinics, summed up to agreements with the single health system of the State of Rio de Janeiro. Bibliographic references, documentary and field data obtained through interviews and systematic observation in the public servants of HEMORIO workplaces, were treated by the analysis of the content method and the results of this research revealed the complexity of those services, and needs in outstanding aspects of infrastructure, equipment, logistics and personnel, which are critical for the achievement of the increased public collection of blood in the Rio de Janeiro State, endorsing the suggestions for the implementation of PPCCIPS in HEMORIO. The main point found in this research results concern the immanent ethical commitment of that public service personnel, including staff members and low ranking members as well, perceived due to a brief philosophical overlook on that personnel¿s attitudes. An important strategic aspect was revealed by the need for excellence of midia communications and education programs to implement the community involvement in the whole process. Final reflections point out that personnel posture is considered vital for the quality of the expected care of the technical activities and also for the quality of its final products release to the local public, fluminense, which is the irreplaceable human blood, and their derivatives. Despite the author¿s effort in this dissertation there is much more to be studied on that crucial theme.

Life Cycle Models, Heterogeneity of Initial Assets,and Wealth Inequality

Life cycle general equilibrium models with heterogeneous agents have a very hard time reproducing the American wealth distribution. A common assumption made in this literature is that all young adults enter the economy with no initial assets. In this article, we relax this assumption – not supported by the data - and evaluate the ability of an otherwise standard life cycle model to account for the U.S. wealth inequality. The new feature of the model is that agents enter the economy with assets drawn from an initial distribution of assets, which is estimated using a non-parametric method applied to data from the Survey of Consumer Finances. We found that heterogeneity with respect to initial wealth is key for this class of models to replicate the data. According to our results, American inequality can be explained almost entirely by the fact that some individuals are lucky enough to be born into wealth, while others are born with few or no assets.

Investigation of urinary volatile organic metabolites as potential cancer biomarkers by solid-phase microextraction in combination with gas chromatography-mass spectrometry

BACKGROUND: Non-invasive diagnostic strategies aimed at identifying biomarkers of cancer are of great interest for early cancer detection. Urine is potentially a rich source of volatile organic metabolites (VOMs) that can be used as potential cancer biomarkers. Our aim was to develop a generally reliable, rapid, sensitive, and robust analytical method for screening large numbers of urine samples, resulting in a broad spectrum of native VOMs, as a tool to evaluate the potential of these metabolites in the early diagnosis of cancer. METHODS: To investigate urinary volatile metabolites as potential cancer biomarkers, urine samples from 33 cancer patients (oncological group: 14 leukaemia, 12 colorectal and 7 lymphoma) and 21 healthy (control group, cancer-free) individuals were qualitatively and quantitatively analysed. Dynamic solid-phase microextraction in headspace mode (dHS-SPME) using a carboxenpolydimethylsiloxane (CAR/PDMS) sorbent in combination with GC-qMS-based metabolomics was applied to isolate and identify the volatile metabolites. This method provides a potential non-invasive method for early cancer diagnosis as a first approach. To fulfil this objective, three important dHS-SPME experimental parameters that influence extraction efficiency (fibre coating, extraction time and temperature of sampling) were optimised using a univariate optimisation design. The highest extraction efficiency was obtained when sampling was performed at 501C for 60min using samples with high ionic strengths (17% sodium chloride, wv 1) and under agitation. RESULTS: A total of 82 volatile metabolites belonging to distinct chemical classes were identified in the control and oncological groups. Benzene derivatives, terpenoids and phenols were the most common classes for the oncological group, whereas ketones and sulphur compounds were the main classes that were isolated from the urine headspace of healthy subjects. The results demonstrate that compound concentrations were dramatically different between cancer patients and healthy volunteers. The positive rates of 16 patients among the 82 identified were found to be statistically different (Po0.05). A significant increase in the peak area of 2-methyl3-phenyl-2-propenal, p-cymene, anisole, 4-methyl-phenol and 1,2-dihydro-1,1,6-trimethyl-naphthalene in cancer patients was observed. On average, statistically significant lower abundances of dimethyl disulphide were found in cancer patients. CONCLUSIONS: Gas chromatographic peak areas were submitted to multivariate analysis (principal component analysis and supervised linear discriminant analysis) to visualise clusters within cases and to detect the volatile metabolites that are able to differentiate cancer patients from healthy individuals. Very good discrimination within cancer groups and between cancer and control groups was achieved.

Análise de agrupamentos dos dados de DFA oriundos de perfis elétricos de indução de poços de petróleo

The main objective of this study is to apply recently developed methods of physical-statistic to time series analysis, particularly in electrical induction s profiles of oil wells data, to study the petrophysical similarity of those wells in a spatial distribution. For this, we used the DFA method in order to know if we can or not use this technique to characterize spatially the fields. After obtain the DFA values for all wells, we applied clustering analysis. To do these tests we used the non-hierarchical method called K-means. Usually based on the Euclidean distance, the K-means consists in dividing the elements of a data matrix N in k groups, so that the similarities among elements belonging to different groups are the smallest possible. In order to test if a dataset generated by the K-means method or randomly generated datasets form spatial patterns, we created the parameter Ω (index of neighborhood). High values of Ω reveals more aggregated data and low values of Ω show scattered data or data without spatial correlation. Thus we concluded that data from the DFA of 54 wells are grouped and can be used to characterize spatial fields. Applying contour level technique we confirm the results obtained by the K-means, confirming that DFA is effective to perform spatial analysis

Análise de DFA e de agrupamento do perfil de densidade de poços de petróleo

In recent years, the DFA introduced by Peng, was established as an important tool capable of detecting long-range autocorrelation in time series with non-stationary. This technique has been successfully applied to various areas such as: Econophysics, Biophysics, Medicine, Physics and Climatology. In this study, we used the DFA technique to obtain the Hurst exponent (H) of the profile of electric density profile (RHOB) of 53 wells resulting from the Field School of Namorados. In this work we want to know if we can or not use H to spatially characterize the spatial data field. Two cases arise: In the first a set of H reflects the local geology, with wells that are geographically closer showing similar H, and then one can use H in geostatistical procedures. In the second case each well has its proper H and the information of the well are uncorrelated, the profiles show only random fluctuations in H that do not show any spatial structure. Cluster analysis is a method widely used in carrying out statistical analysis. In this work we use the non-hierarchy method of k-means. In order to verify whether a set of data generated by the k-means method shows spatial patterns, we create the parameter Ω (index of neighborhood). High Ω shows more aggregated data, low Ω indicates dispersed or data without spatial correlation. With help of this index and the method of Monte Carlo. Using Ω index we verify that random cluster data shows a distribution of Ω that is lower than actual cluster Ω. Thus we conclude that the data of H obtained in 53 wells are grouped and can be used to characterize space patterns. The analysis of curves level confirmed the results of the k-means

Haematological and biochemical reference intervals for farmed channel catfish

The reference intervals for biochemical variables and red blood cell indices of healthy intensively bred channel catfish Ictalurus punctatus were determined. The blood variables were determined using standardized clinical methods. The reference intervals (25th and 75th percentiles) were established using a non-parametric method. Reference intervals for plasma glucose, serum total protein, sodium, potassium, calcium, magnesium, chloride concentration, primary and secondary red blood cell indices were established. The haematological and biochemical reference intervals established may allow important clinical decisions about channel catfish. (c) 2007 the Authors Journal compilation (C) 2007 the Fisheries Society of the British Isles.

Seasonal changes in fecal testosterone concentrations and their relationship to the reproductive behavior, antler cycle and grouping patterns in free-ranging male Pampas deer (Ozotoceros bezoarticus bezoarticus)

The purpose of this study was to validate noninvasive endocrine monitoring techniques for Pampas deer and to evaluate seasonal changes in testicular steroidogenic activity and their correlation to reproductive behavior, antler cycle and group size. Thus, fecal samples, behavioral data and observations of antler status were collected at monthly intervals during 1 year from free-ranging Pampas deer stags (three radio-collared individuals and 15 random individuals) living in Emas National Park, Brazil (18 degrees S latitude). Fecal steroids were extracted using 80% methanol and steroid concentrations were quantified by a commercial enzyme immunoassay (EIA). Fecal testosterone concentrations peaked in December-January (summer), March (early autumn) and in August-September (winter-spring), with minimal values from April-July. Reproductive behavior had two peaks, the first in December-January, characterized by predominately anogenital sniffing, flehmen, urine sniffing, chasing and mounting behavior, and the second peak in July-September (behavior primarily related to gland marking). There were significant correlations between fecal testosterone and reproductive behavior (r = 0.490), and between fecal testosterone and antler phases (r = 0.239). Antler casting and regrowth occurred under low testosterone concentrations, whereas velvet shedding was associated with high concentrations of testosterone. We inferred that Pampas deer stags exhibited a seasonal cycle that modulated sexual behavior and the antler cycle, and we concluded that fecal steroid analysis was a practical and reliable non-invasive method for the evaluation of the endocrine status of free-ranging Pampas deer. (c) 2004 Elsevier B.V. All rights reserved.