945 resultados para mean field independent component analysis
Resumo:
A field matching method is described to analyze a recessed circular cavity radiating into a radial waveguide. Using the wall impedance approach, the analysis is divided into two separate problems of the cavity and its external environment. Based on this analysis, a computer algorithm is developed for determining wall admittances as seen at the edge of the patch in the cavity, the radial admittance matrix for the two-probe feed arrangement, and the input impedance as observed from the coaxial line feeding the cavity. This algorithm is tested against the general-purpose Hewlett-Packard finite-element High Frequency Structure Simulator as well as against measured results. Good agreement in all considered cases is noted.
Resumo:
The exact description of the thermodynamics of solutions has been used to describe, without approximation, the distribution of all the components of an incompressible solution in a centrifuge cell at sedimentation equilibrium. Thermodynamic parameters describing the interactions between solute components of known molar mass can be obtained by direct analysis of the experimental data. Interpretation of the measured thermodynamic parameters in terms of molecular interactions requires that an arbitrary distinction be made between nonassociative forces, like hard-sphere volume-exclusion and mean-field electrostatic repulsion or attraction, and specific short-range forces of association that give rise to the formation of molecular aggregates. Provided the former can be accounted for adequately, the effects of the latter can be elucidated in the form of good estimates of the equilibrium constants for the reactions of aggregation.
Resumo:
Exploratory factor analysis is a widely used statistical technique in the social sciences. It attempts to identify underlying factors that explain the pattern of correlations within a set of observed variables. A statistical software package is needed to perform the calcula- tions. However, there are some limitations with popular statistical software packages, like SPSS. The R programming language is a free software package for statistical and graphical computing. It o ers many packages written by contributors from all over the world and programming resources that allow it to overcome the dialog limitations of SPSS. This paper o ers an SPSS dialog written in the R programming language with the help of some packages, so that researchers with little or no knowledge in programming, or those who are accustomed to making their calculations based on statistical dialogs, have more options when applying factor analysis to their data and hence can adopt a better approach when dealing with ordinal, Likert-type data.
Resumo:
The first and second authors would like to thank the support of the PhD grants with references SFRH/BD/28817/2006 and SFRH/PROTEC/49517/2009, respectively, from Fundação para a Ciência e Tecnol ogia (FCT). This work was partially done in the scope of the project “Methodologies to Analyze Organs from Complex Medical Images – Applications to Fema le Pelvic Cavity”, wi th reference PTDC/EEA- CRO/103320/2008, financially supported by FCT.
Resumo:
OBJECTIVE: To identify clusters of the major occurrences of leprosy and their associated socioeconomic and demographic factors. METHODS: Cases of leprosy that occurred between 1998 and 2007 in São José do Rio Preto (southeastern Brazil) were geocodified and the incidence rates were calculated by census tract. A socioeconomic classification score was obtained using principal component analysis of socioeconomic variables. Thematic maps to visualize the spatial distribution of the incidence of leprosy with respect to socioeconomic levels and demographic density were constructed using geostatistics. RESULTS: While the incidence rate for the entire city was 10.4 cases per 100,000 inhabitants annually between 1998 and 2007, the incidence rates of individual census tracts were heterogeneous, with values that ranged from 0 to 26.9 cases per 100,000 inhabitants per year. Areas with a high leprosy incidence were associated with lower socioeconomic levels. There were identified clusters of leprosy cases, however there was no association between disease incidence and demographic density. There was a disparity between the places where the majority of ill people lived and the location of healthcare services. CONCLUSIONS: The spatial analysis techniques utilized identified the poorer neighborhoods of the city as the areas with the highest risk for the disease. These data show that health departments must prioritize politico-administrative policies to minimize the effects of social inequality and improve the standards of living, hygiene, and education of the population in order to reduce the incidence of leprosy.
Resumo:
This study aimed to characterize air pollution and the associated carcinogenic risks of polycyclic aromatic hydrocarbon (PAHs) at an urban site, to identify possible emission sources of PAHs using several statistical methodologies, and to analyze the influence of other air pollutants and meteorological variables on PAH concentrations.The air quality and meteorological data were collected in Oporto, the second largest city of Portugal. Eighteen PAHs (the 16 PAHs considered by United States Environment Protection Agency (USEPA) as priority pollutants, dibenzo[a,l]pyrene, and benzo[j]fluoranthene) were collected daily for 24 h in air (gas phase and in particles) during 40 consecutive days in November and December 2008 by constant low-flow samplers and using polytetrafluoroethylene (PTFE) membrane filters for particulate (PM10 and PM2.5 bound) PAHs and pre-cleaned polyurethane foam plugs for gaseous compounds. The other monitored air pollutants were SO2, PM10, NO2, CO, and O3; the meteorological variables were temperature, relative humidity, wind speed, total precipitation, and solar radiation. Benzo[a]pyrene reached a mean concentration of 2.02 ngm−3, surpassing the EU annual limit value. The target carcinogenic risks were equal than the health-based guideline level set by USEPA (10−6) at the studied site, with the cancer risks of eight PAHs reaching senior levels of 9.98×10−7 in PM10 and 1.06×10−6 in air. The applied statistical methods, correlation matrix, cluster analysis, and principal component analysis, were in agreement in the grouping of the PAHs. The groups were formed according to their chemical structure (number of rings), phase distribution, and emission sources. PAH diagnostic ratios were also calculated to evaluate the main emission sources. Diesel vehicular emissions were the major source of PAHs at the studied site. Besides that source, emissions from residential heating and oil refinery were identified to contribute to PAH levels at the respective area. Additionally, principal component regression indicated that SO2, NO2, PM10, CO, and solar radiation had positive correlation with PAHs concentrations, while O3, temperature, relative humidity, and wind speed were negatively correlated.
Resumo:
Relatório do Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia de Electrónica e Telecomunicações
Resumo:
Beyond the classical statistical approaches (determination of basic statistics, regression analysis, ANOVA, etc.) a new set of applications of different statistical techniques has increasingly gained relevance in the analysis, processing and interpretation of data concerning the characteristics of forest soils. This is possible to be seen in some of the recent publications in the context of Multivariate Statistics. These new methods require additional care that is not always included or refered in some approaches. In the particular case of geostatistical data applications it is necessary, besides to geo-reference all the data acquisition, to collect the samples in regular grids and in sufficient quantity so that the variograms can reflect the spatial distribution of soil properties in a representative manner. In the case of the great majority of Multivariate Statistics techniques (Principal Component Analysis, Correspondence Analysis, Cluster Analysis, etc.) despite the fact they do not require in most cases the assumption of normal distribution, they however need a proper and rigorous strategy for its utilization. In this work, some reflections about these methodologies and, in particular, about the main constraints that often occur during the information collecting process and about the various linking possibilities of these different techniques will be presented. At the end, illustrations of some particular cases of the applications of these statistical methods will also be presented.
Resumo:
Controlled fires in forest areas are frequently used in most Mediterranean countries as a preventive technique to avoid severe wildfires in summer season. In Portugal, this forest management method of fuel mass availability is also used and has shown to be beneficial as annual statistical reports confirm that the decrease of wildfires occurrence have a direct relationship with the controlled fire practice. However prescribed fire can have serious side effects in some forest soil properties. This work shows the changes that occurred in some forest soils properties after a prescribed fire action. The experiments were carried out in soil cover over a natural site of Andaluzitic schist, in Gramelas, Caminha, Portugal, that had not been burn for four years. The composed soil samples were collected from five plots at three different layers (0-3cm, 3-6cm and 6-18cm) during a three-year monitoring period after the prescribed burning. Principal Component Analysis was used to reach the presented conclusions.
Resumo:
In the current context of serious climate changes, where the increase of the frequency of some extreme events occurrence can enhance the rate of periods prone to high intensity forest fires, the National Forest Authority often implements, in several Portuguese forest areas, a regular set of measures in order to control the amount of fuel mass availability (PNDFCI, 2008). In the present work we’ll present a preliminary analysis concerning the assessment of the consequences given by the implementation of prescribed fire measures to control the amount of fuel mass in soil recovery, in particular in terms of its water retention capacity, its organic matter content, pH and content of iron. This work is included in a larger study (Meira-Castro, 2009(a); Meira-Castro, 2009(b)). According to the established praxis on the data collection, embodied in multidimensional matrices of n columns (variables in analysis) by p lines (sampled areas at different depths), and also considering the quantitative data nature present in this study, we’ve chosen a methodological approach that considers the multivariate statistical analysis, in particular, the Principal Component Analysis (PCA ) (Góis, 2004). The experiments were carried out in a soil cover over a natural site of Andaluzitic schist, in Gramelas, Caminha, NW Portugal, who was able to maintain itself intact from prescribed burnings from four years and was submit to prescribed fire in March 2008. The soils samples were collected from five different plots at six different time periods. The methodological option that was adopted have allowed us to identify the most relevant relational structures inside the n variables, the p samples and in two sets at the same time (Garcia-Pereira, 1990). Consequently, and in addition to the traditional outputs produced from the PCA, we have analyzed the influence of both sampling depths and geomorphological environments in the behavior of all variables involved.
Resumo:
This study aims to optimize the water quality monitoring of a polluted watercourse (Leça River, Portugal) through the principal component analysis (PCA) and cluster analysis (CA). These statistical methodologies were applied to physicochemical, bacteriological and ecotoxicological data (with the marine bacterium Vibrio fischeri and the green alga Chlorella vulgaris) obtained with the analysis of water samples monthly collected at seven monitoring sites and during five campaigns (February, May, June, August, and September 2006). The results of some variables were assigned to water quality classes according to national guidelines. Chemical and bacteriological quality data led to classify Leça River water quality as “bad” or “very bad”. PCA and CA identified monitoring sites with similar pollution pattern, giving to site 1 (located in the upstream stretch of the river) a distinct feature from all other sampling sites downstream. Ecotoxicity results corroborated this classification thus revealing differences in space and time. The present study includes not only physical, chemical and bacteriological but also ecotoxicological parameters, which broadens new perspectives in river water characterization. Moreover, the application of PCA and CA is very useful to optimize water quality monitoring networks, defining the minimum number of sites and their location. Thus, these tools can support appropriate management decisions.
Resumo:
This paper proposes an FPGA-based architecture for onboard hyperspectral unmixing. This method based on the Vertex Component Analysis (VCA) has several advantages, namely it is unsupervised, fully automatic, and it works without dimensionality reduction (DR) pre-processing step. The architecture has been designed for a low cost Xilinx Zynq board with a Zynq-7020 SoC FPGA based on the Artix-7 FPGA programmable logic and tested using real hyperspectral datasets. Experimental results indicate that the proposed implementation can achieve real-time processing, while maintaining the methods accuracy, which indicate the potential of the proposed platform to implement high-performance, low cost embedded systems.
Resumo:
INTRODUÇÃO: Estudos prévios, com técnicas de imagem, documentam de forma consistente a existência de alterações da substância branca cerebral relacionadas com o envelhecimento (ASBRE). Tais alterações poderão ter um papel importante no declínio funcional do idoso, reflectindo‐se sobretudo no desempenho motor e cognitivo, com repercussão evidente na prática clínica. Apesar disso, a caracterização em definitivo dos fenótipos clínicos e da evolução das ASBRE continua por esclarecer, possivelmente pelas dificuldades metodológicas de que se reveste o seu estudo, incluindo: a adequação das baterias neuropsicológicas, a utilização de amostras de doentes com diferentes graus de severidade e de envolvimento regional, as limitações das diferentes escalas e a sensibilidade dos diferentes métodos de imagem. A Ressonância Magnética (RM) de difusão tem revelado grande sensibilidade para as alterações isquémicas, admitindo‐se que poderá permitir uma melhor caracterização das ASBRE e deste modo possibilitar uma correlação mais precisa com as variáveis cognitivas e motoras, permitindo avaliar ainda a substância branca aparentemente normal (SBAN). OBJECTIVOS: Descrever a evolução imagiológica das ASBRE no intervalo de um ano e analisar a sua expressão clínica e impacto funcional; identificar factores preditivos de progressão das ASBRE e de declínio funcional associado. Descrever a expressão clínica e perfil evolutivo dos doentes com ASBRE com envolvimento preferencial da região parieto‐occipital; comparar este grupo de doentes com os doentes com ASBRE, sem envolvimento preferencial desta região. Medir os coeficientes de difusão aparente (CDA), utilizando regiões de interesse (RDI), em diferentes localizações da substância branca, incluindo substância branca lesada e SBAN, descrever sua evolução temporal no intervalo de um ano e determinar suas correlações clínicas e imagiológicas. MÉTODOS: Utilizando uma amostra de conveniência, foram estudados 30 doentes, com mais de 65 anos, sem incapacidade funcional ou com incapacidade mínima, avaliada pela escala de actividades instrumentais da vida diária (IADL), apresentando ASBRE em TC. Foi utilizado um protocolo exaustivo de avaliação clínica (com particular destaque para as funções motoras e cognitivas) e imagiológica, em dois momentos de avaliação separados por um ano de intervalo (t0 e t1). As ASBRE foram avaliadas com escalas visuais, escala ARWMC e escala de Fazekas, e os doentes foram estudados em função do grau de severidade (ligeiro versus moderado a grave na escala de Fazekas) e de um envolvimento preferencial posterior (definido como 2 ou mais pontos na escala ARWMC na região parieto‐occipital por comparação com a região frontal). Os CDA foram avaliados mediante estudo de RDI, na substância branca frontal lesada (SBFL) e SBAN frontal, parieto‐occipital e dos pedúnculos cerebelosos. Para verificar diferenças na ordem de distribuição das variáveis foi usado o teste de Mann‐Whitney e para comparação de proporções, o teste exacto de Fisher. Na comparação entre a avaliação em t0 e t1 foi usado o teste Wilcoxon Signed Ranks na comparação da distribuição da ordem das variáveis e o teste McNemar na análise de frequências. Na análise correlacional foram utilizados os testes de T para variáveis emparelhadas e as correlações entre estas foram efectuadas com o coeficiente de correlação de Spearman ou de Pearson. O trabalho foi aprovado pela Comissão de Ética do hospital onde foi realizado e todos os doentes incluídos assinaram um consentimento informado. RESULTADOS: A idade média da população estudada foi 72,5 anos (17 doentes eram do sexo masculino). No final de um ano, 1 doente tinha falecido e 3 doentes não completaram a avaliação imagiológica. Registou‐se uma progressão significativa das ASBRE segundo a escala ARWMC (t0: 8,37 / t1: 9,65 ; p<0,001). Na análise funcional, motora e cognitiva, não houve um agravamento significativo. Avaliando os doentes em t0 e t1 segundo o grau de severidade das ASBRE, o grupo com atingimento moderado a grave (ASBRE2) comparado com o grupo com atingimento ligeiro (ASBRE1) apresentava: maior extensão de lesão da substância branca (ARWMC t0: 11,9 / 4,8 ; p<0.001 ; t1: 14,0 / 5,9 ; p<0,001); tendência a pior desempenho funcional (IADL t0: 90,7 / 99,2 ; p=0,023; t1: 86,4 / 96,7 ; p=n.s.) e motor (SPPB t0: 9,8 / 10,3 ; p=n.s. ; t1: 9,5 / 10,5 ; p=0,058); tendência a maior compromisso do humor (Escala Cornell t0: 6,7 / 3,5 ; p=0,037; t1: 6,2 / 4,5 ; p=n.s.). Analisando a evolução, de t0 para t1, de cada um dos grupos (ASBRE2 e ASBRE1) registou‐se: aumento da extensão da lesão da substância branca em ambos (ASBRE2: 12,0 / 14,0;z=‐2,687 ; p=0,007; ASBR1: 4,8 / 5,9 ; z=‐2,724 ; p=0,006); variação não significativa funcional e motora; tendência ao agravamento em ambos na prova de Cancelamento de dígitos (ASBRE2: 17,5 / 17,4 ; p=n.s. ; ASBRE1: 19,9 / 16,9 ; z=‐2,096 ; p=0,036);tendência à melhoria em ambos no MMS (ASBRE2: 25,7 / 27,5 ; z=‐2,155 ; p=0,031; ASBRE1: 27,5 / 28,2 ; p=n.s). Avaliando os doentes em t0 e t1 em função do padrão de distribuição das ASBRE, os doentes com um envolvimento preferencial posterior (ASBREP) comparados com os restantes (ASBREnP), apresentavam: maior extensão da lesão (ARWMC t0: 10,8 / 6,9 ; p=0,025; t1: 12,9 / 7,6 ; p=0,011); diferenças não significativas no desempenho motor; tendência a melhor desempenho na prova dos Labirintos (t0: 8,1 / 11,8 ; p=0,06; t1: 8,7 / 9,5 ; p=n.s.) e Cancelamento de dígitos (t0: 20,9 / 17,4 ; p=0,045; t1: 18,5 / 16,3 ; p=n.s.); tendência a maior compromisso depressivo na GDS (t0: 5,0 / 3,68 ; p=n.s. ; t1: 5,7 / 3,3 p=0,033). Analisando o perfil evolutivo de t0 para t1, registou‐se: aumento da extensão da lesão nos dois grupos (ASBREP: 10,8 / 12,9 ; z=‐2,555 ; P=0,011; ASBREnP: 6,4 / 7,6 ; z=‐2,877 ; p=0,04); variação em sentidos diferentes com melhoria funcional no grupo ASBREP (91,0 / 95,5 ; z=‐0,926 ; p=0,036) e agravamento no grupo ASBREnP (96,7 / 89,8 ; z=‐2,032 ; p=0,042); variação sem sentidos diferentes, com agravamento significativo no grupo ASBREnP no item estação de pé do SPPB (ASBREP 3,8/3,9 p=n.s.; ASBREnP 3,9/3,6; z=‐2,236 ; p=0,025); tendência à melhoria nos dois grupos no MMS (ASBREP: 27,2 / 28,2 ; p=n.s.; ASBREnP: 26,3 / 27,7 ; z=‐2,413 ; p=0,016) e tendência em sentidos diferentes no Trail Making, com eventual melhoria no grupo ASBREP (113,9 / 91,6 ; p=n.s.) e agravamento no grupo ASBREnP (113,7 / 152,0 ; z=‐2,155 ; p=0,031). Na análise da imagem, utilizando a escala ARWMC e o estudo dos CDA, na avaliação transversal na inclusão, a comparação entre as pontuações médias da escala ARWML nas diferentes regiões mostrava diferenças significativas (F=39,54 , p<0,0001). A análise comparativa post‐hoc de Bonferroni mostrou valores significativamente mais altos para as regiões frontais e parieto‐occipitais (p<0,0001). Os valores médios dos CDA eram significativamente diferentes entre regiões (F=44,56; p<0,0001), sendo mais altos na SBFL (p<0,0001). Não existia diferença significativa entre os valores registados na SBAN nas regiões frontais e parieto‐occipitais. As pontuações regionais da escala ARWMC e os valores médios dos CDA correlacionavam‐se todos de forma positiva. A pontuação da escala ARWMC na região frontal correlacionava‐se significativamente com os valores do CDA da SBFL (r=0,467 ; p=0,012). Existia tendência para uma correlação positiva entre as pontuações da escala ARWMC na região frontal e os valores médios dos CDA na SBAN frontal (r=0,276 ; p=0,155). As pontuações da escala ARWMC e os CDA correlacionavam‐se de forma positiva com a idade e com a tensão arterial (TA). Foram encontradas correlações significativas entre: idade e SBAN frontal (r=0,440 ; p=0,019); TA diastólica e SBFL (r=0,386 ; p=0,034); TA sistólica e SBAN Parieto‐occipital (r=0,407 ; P=0,032). Na avaliação motora e cognitiva, dado elevado número de variáveis, foi efectuada uma análise de factor principal. Registou‐se uma tendência global negativa na correlação entre as pontuações da escala visual na região frontal, os valores dos CDA, e o desempenho motor e cognitivo. Na análise evolutiva, (n=19), registou‐se variação significativa dos CDA, com aumento na SBFL (Direita: z=‐2,875 ; p=0,004 ; Esquerda: z=‐2,113 ; p=0,035) e diminuição na SBAN dos pedúnculos cerebelosos (Direita: z=‐2,094 ; p=0,036 ; Esquerda: z=‐1,989 ; p=0,047). Foi observada uma correlação negativa entre a variação do CDA na SBAN dos pedúnculos cerebelosos e na SBFL contralateral (SBAN pedúnculo cerebeloso Esquerdo / SBFL Direita: r=‐0,133 ; p=n.s.; SBAN pedúnculo cerebeloso Direito / SBFL Esquerda: r=‐0,561 ; p=0,012). Os valores dos CDA à direita correlacionavam‐se de forma positiva com a velocidade da marcha (r=0,562 ; p=0,012). CONCLUSÕES: A progressão das ASBRE pode ser observada com uma escala visual detalhada no intervalo de um ano. Contudo, o eventual agravamento da incapacidade funcional, motora e cognitiva, não parece ser apreciável em igual intervalo de tempo. A maior severidade das ASBRE associa‐se a uma tendência para um maior compromisso funcional, motor e possivelmente do humor. A questão da progressão em escalas simplificadas, de um estádio ligeiro para um estádio moderado a grave, não é elucidada pelos resultados do presente trabalho. Os doentes com um envolvimento preferencial da região parieto‐occipital poderão constituir um subgrupo distinto que, apesar de ter maior extensão de lesão, parece ter um melhor desempenho motor e cognitivo. O perfil evolutivo destes doentes parece igualmente ser distinto, não se observando a tendência ao agravamento funcional, motor e cognitivo (sobretudo em provas de função executiva) que se encontra nos restantes doentes. A análise transversal na inclusão, utilizando uma escala visual e o estudo dos CDA, sugere que a severidade das ASBRE se correlaciona com o compromisso motor e cognitivo, bem como com a idade e com a TA. Uma maior vulnerabilidade da substância branca frontal à lesão vascular parece ter um papel importante no compromisso motor e na disfunção executiva, (essencialmente à custa do compromisso da atenção), possivelmente associada à desconexão dos circuitos fronto‐subcorticais. A análise dos CDA sugere que isso é válido igualmente para a SBAN e sublinha que, as imagens de RM convencional poderão não traduzir a verdadeira extensão da lesão e consequentemente do compromisso motor e cognitivo. A relação entre a progressão da doença vascular em lesões frontais constituídas e a redução do CDA no pedúnculo cerebeloso contralateral poderá estar associada a um pior desempenho motor. A disrupção dos circuitos fronto‐cerebelosos, determinando hipometabolismo e diminuição da perfusão no cerebelo, poderá ser responsável pela diminuição do CDA no cerebelo. ABSTRACT INTRODUCTION: Previous studies, with new imaging techniques, have consistently documented the presence of age‐related white matter lesions (ARWML), emphasizing their role in agerelated functional decline, mainly related to motor and cognitive impairment, and inherent consequences in clinical practice. However clinical significance of ARWML remains to be elucidated, probably on account of methodological difficulties such as: specific neuropsychological batteries, utilization of samples with different degrees of severity and regional involvement, utilization of different imaging scales and different sensitivity of imaging techniques. Recently, Diffusion Weighted Magnetic Ressonance imaging (DWI) has shown a higher sensitivity to ischemic lesions, suggesting it might be superior for characterization of ARWML, allowing more precise correlation with motor and cognitive variables, and evaluating also normal appearing white matter (NAWM). OBJECTIVES: To describe imagiologic evolution of ARWML within one year interval and to analyse its clinical and functional significance. To identify predictors of ARWML progression and associated functional impairment. To describe clinical characteristics and evolution profile of patients with predominantly posterior lesions; to compare this group of patients with patients without predominantly posterior lesions. To study average Apparent Diffusion Coeficcients (ADC) in different white matter regions using regions of interest (ROI); to analyse their evolution profile and to determine their clinical and imagiologic correlations. METHODS: A sample of 30 patients older than 65 years, without functional impairment or with minimal impairment, according to the Instrumental Activities of Daily Lliving scale, with ARWML on CT scan, were studied in a cross‐sectional design. An extensive clinical(with detailed motor and cognitive evaluation) and imagiologic protocol was applied in two one‐year interval separate moments (t0 and t1). ARWML were studied using visual scales, ARWMC and Fazekas’s scale, and patients were studied according to degree of severity (Fazekas scale mild versus moderate / severe) and preferential involvement of the posterior region (defined as 2 or more points in the ARWMC scale in the parietooccipital region compared with frontal region). Evaluation of ADC was performed using ROI in frontal lesioned white matter (FLWM) and NAWM (frontal, parieto‐occipital and cerebellar regions). To study differences in the distribution of variables the Mann‐Whitney test was used and to compare proportions the exact Fisher Test was used. To compare temporal evolution profile between t0 and t1, the Wilcoxon Signed ranks Test was used to analyse the distribution of variables and the Mc Nemar Test to analyse frequencies. Correlation analysis was performed using Spearman or Pearson tests. The study was approved by the local Ethics Committee and all patients signed an informed consent. RESULTS: Mean age was 72.5 years (17 patients were male). By the end of the study, one patient was dead and 3 patients did not undergo brain imaging. There was a higher extent of ARWML evaluated with the ARWMC scale (t0: 8.37 / t1: 9.65 ; p<0.001). Functional, motor and cognitive performance did not progress significantly. Evaluating patients in t0 and t1 according to the degree of severity (Fazekas scale), the moderate / severe group of patients (WML2), compared with the mild group (WML1), showed: higher extent of lesion (ARWMC scale t0: 11.9 / 4.8 ; p<0.001 ; t1: 14.0 / 5.9 ; p<0.001); tendency to worse functional (IADL t0: 90.7 / 99.2 ; p=0.023; t1: 86.4 / 96.7 ; p=n.s.) and motor (SPPB t0: 9.8 / 10.3 ; p=n.s. ; t1: 9.5 / 10.5 ; p=0.058) performance; tendency to higher depressive scores (Cornell Scale t0: 6.7 / 3.5 ; p=0.037; t1: 6.2 / 4.5; p=n.s.). Analysing the evolution profile from t0 to t1 of each group (WML2 and WML1), there was a higher extent of lesion (ARWMC scale) in both (WML2: 12.0 / 14.0; z=‐2.687 ; p=0.007; WML1: 4.8 / 5.9 ; z=‐2.724 ; p=0.006); non‐significant variation in functional and motor performances; tendency to worse performance on the Digit Cancelling (WML2: 17.5 / 17.4 ; p=n.s. ; WML1: 19.9 / 16.9 ; z=‐2.096 ; p=0,036) and to better performance on the MMS (WML2: 25.7 / 27.5 ; z=‐2.155 ; p=0.031; WML1: 27.5/ 28.2 ; p=n.s). Evaluating patients in t0 and t1 according to the regional distribution of ARWML, patients with predominantly posterior lesions (WMLP) compared with the rest of the group (WMLnP), showed: higher extent of lesion (ARWMC scale t0: 10.8 / 6.9 ; p=0.025; t1:12.9 / 7.6 ; p=0.011); non significant differences on motor evaluation; tendency to a better performance on Maze (t0: 8.1 / 11.8 ; p=0.06; t1: 8.7 / 9.5 ; p=n.s.) and Digit cancelling (t0: 20.9 / 17.4 ; p=0.045; t1: 18.5 / 16.3 ; p=n.s.) tests;tendency to higher scores on GDS (t0: 5.0 / 3.68 ; p=n.s. ; t1: 5.7 / 3.3 p=0.033). Analysing the evolution profile from t0 to t1 of each group (WMLP and WMLnP), there was: higher extent of lesion (ARWMC scale) in both groups (WMLP: 10.8 / 12.9 ;z=‐2,555 ; P=0,011; WMLnP: 6.4 / 7.6 ; z=‐2.877; p=0.04); variation in different directions with better functional performance in the group WMLP (91.0 / 95.5 ;z=‐0.926 ; p=0.036) and worse in WMLnP (96.7 / 89.8 ; z=‐2.032 ; p=0.042); variation in different directions with worse motor performance in one SPPB item (total stands) in the group WMLnP (WMLP 3.8/3.9 p=n.s.; ASBREnP 3.9/3.6; z=‐2.236 ; p=0.025);tendency to improvement in both groups in MMS (WMLP: 27.2 / 28.2 ; p=n.s.; WMLnP:26.3 / 27.7 ; z=‐2.413 ; p=0.016); tendency to a variation in different directions in the Trail Making Test, with possible improvement in the group WMLP (113.9 / 91.6 ;p=n.s.) and worsening in the group WMLnP (113.7 / 152.0 ; z=‐2.155 ; p=0.031). Imaging analysis in the inclusion, using the ARWMC scale and ADC evaluation, showed significant differences in different regions (F=39.54, p<0.0001). Comparative post‐hoc Bonferroni analysis showed significantly higher scores in the frontal and parieto‐occipital regions (p<0.0001. ADC values were significantly different between regions (F=44.56; p<0.0001), being higher in FLWM (p<0‐0001). There was no significant difference between ADC in NAWM in frontal and parieto‐occipital regions. ARWMC scores and ADC values correlated positively. Significant correlations were found between frontal ARWMC score and FLWM ADC values (r=0.467 ; p=0.012). ARWMC scores and ADC values correlated positively with age and blood pressure. Significant correlations were: age and frontal NAWM (r=0.440 ; p=0.019); Diastolic blood pressure and FLWM (r=0.386 ; p=0.034); sistolic blood pressure and parietooccipital NAWM (r=0.407 ; P=0.032). Due to the higher number of motor and cognitive variables a preliminary study was done, using principal component analysis. A global tendency to a negative correlation was found between ARWMC scores, ADC values and motor and cognitive performances. Evolutive analysis of ADC (n=19), showed a significant variation, with higher values in t1 in FLWM (Right: z=‐2.875 ; p=0.004 ; Left: z=‐2.113 ; p=0.035) and lower values in t1 in cerebellar NAWM (Right: z=‐2.094 ; p=0.036 ; Left: z=‐1.989 ; p=0.047). A negative correlation was found between ADC variation in cerebellar NAWM and contralateral FLWM (Left cerebellar NAWM / Right FLWM: r=‐0.133 ; p=n.s.; Right cerebellar NAWM/ Left FLWM: r=‐0.561 ; p=0.012). ADC values on the right correlated positively with walking speed (r=0,562 ; p=0,012). CONCLUSIONS: Progression of ARWML can be documented with a detailed visual scale in a one year interval. However, functional, motor and cognitive impairment, do not seem to progress significantly within the same period. A higher severity of ARWML is associated with a tendency to a worse functional and motor performance (and possibly to higher scores in depression scales). The issue of progression in a simplified visual scale from a mild to a moderate / severe degree of ARWML is not further elucidated. Patients with predominantly posterior lesions may be a subset of ARWML patients, with a different profile, that despite higher extent of lesion, seem to fair better than the rest of the group, namely with better performance on motor and cognitive tests. Evolution profile of this subset of patients also seems to be different, without a clearcut tendency to worsening functional, motor and cognitive (particularly for executive function tests) performance that is observed in the rest of the group. Imaging analysis, with a visual scale and ADC evaluation, suggests that severity of ARWML correlates negatively with cognitive and motor performance and positively with age and blood pressure. A higher vulnerability of frontal white matter to vascular disease seems to play an important role in motor and cognitive dysfunction, mainly determined by impairment of attention skills associated with frontal‐subcortical disconnection. DWI results, suggest that this may also be true for NAWM, underlining that conventional MR images may not represent the true extent of cognitive decline. The relation between vascular disease progression inside frontal lesions and ADC reduction in contralateral cerebellar peduncles, may be associated with a worse motor performance. Disruption of fronto‐cerebellar cicuits, with associated regional hypometabolism, may be responsible for the reduction of cerebellar ADC.
Resumo:
Geociências, Museu Nac. Hist. Nat. Univ. Lisboa, nº 2, 35-84
Resumo:
High-content analysis has revolutionized cancer drug discovery by identifying substances that alter the phenotype of a cell, which prevents tumor growth and metastasis. The high-resolution biofluorescence images from assays allow precise quantitative measures enabling the distinction of small molecules of a host cell from a tumor. In this work, we are particularly interested in the application of deep neural networks (DNNs), a cutting-edge machine learning method, to the classification of compounds in chemical mechanisms of action (MOAs). Compound classification has been performed using image-based profiling methods sometimes combined with feature reduction methods such as principal component analysis or factor analysis. In this article, we map the input features of each cell to a particular MOA class without using any treatment-level profiles or feature reduction methods. To the best of our knowledge, this is the first application of DNN in this domain, leveraging single-cell information. Furthermore, we use deep transfer learning (DTL) to alleviate the intensive and computational demanding effort of searching the huge parameter's space of a DNN. Results show that using this approach, we obtain a 30% speedup and a 2% accuracy improvement.