Automatic landmarks detection in breast reconstruction aesthetic assessment.

This paper addresses a fully automatic landmarks detection method for breast reconstruction aesthetic assessment. The set of landmarks detected are the supraesternal notch (SSN), armpits, nipples, and inframammary fold (IMF). These landmarks are commonly used in order to perform anthropometric measurements for aesthetic assessment. The methodological approach is based on both illumination and morphological analysis. The proposed method has been tested with 21 images. A good overall performance is observed, although several improvements must be achieved in order to refine the detection of nipples and SSNs.

Modelling the cardiovascular system for automatic interpretation of the blood pressure curve

A four compartment model of the cardiovascular system is developed. To allow for easy interpretation and to minimise the number of parameters, an effort was made to keep the model as simple as possible. A sensitivity analysis is first carried out to determine which are the most important model parameters to characterise the blood pressure signal. A four stage process is then described which accurately determines all parameter values. This process is applied to data from three patients and good agreement is shown in all cases.

Generació semi-automàtica de façanes procedurals

L’objectiu d’aquest PFC és desenvolupar una eina d’edició de façanes procedural apartir d’una imatge d’una façana real. L’aplicació generarà les regles procedurals de lafaçana a partir de dades adquirides del model que es vol representar, com unafotografia. L’usuari de l’aplicació generarà de forma semi-automàtica i interactiva lesregles de subdivisió i repetició, especificant també la inserció de elementsarquitectònics (portes, finestres), que podran ser instanciats a partir d’una llibreria. Uncop generades, les regles s’escriuran en el format del sistema BuildingEngine perintegrar-se completament dins el procés de modelatge urbà.Aquest projecte es desenvoluparà en Matlab

A Novel Breast Tissue Density Classification Methodology

It has been shown that the accuracy of mammographic abnormality detection methods is strongly dependent on the breast tissue characteristics, where a dense breast drastically reduces detection sensitivity. In addition, breast tissue density is widely accepted to be an important risk indicator for the development of breast cancer. Here, we describe the development of an automatic breast tissue classification methodology, which can be summarized in a number of distinct steps: 1) the segmentation of the breast area into fatty versus dense mammographic tissue; 2) the extraction of morphological and texture features from the segmented breast areas; and 3) the use of a Bayesian combination of a number of classifiers. The evaluation, based on a large number of cases from two different mammographic data sets, shows a strong correlation ( and 0.67 for the two data sets) between automatic and expert-based Breast Imaging Reporting and Data System mammographic density assessment

Debris flow susceptibility mapping at a regional scale along the National Road N7, Argentina

A first assessment of debris flow susceptibility at a large scale was performed along the National Road N7, Argentina. Numerous catchments are prone to debris flows and likely to endanger the road-users. A 1:50,000 susceptibility map was created. The use of a DEM (grid 30 m) associated to three complementary criteria (slope, contributing area, curvature) allowed the identification of potential source areas. The debris flow spreading was estimated using a process- and GISbased model (Flow-R) based on basic probabilistic and energy calculations. The best-fit values for the coefficient of friction and the mass-to-drag ratio of the PCM model were found to be ? = 0.02 and M/D = 180 and the resulting propagation on one of the calibration site was validated using the Coulomb friction model. The results are realistic and will be useful to determine which areas need to be prioritized for detailed studies.

A novel method for automated classification of epileptiform activity in the human electroencephalogram-based on independent component analysis.

Diagnosis of several neurological disorders is based on the detection of typical pathological patterns in the electroencephalogram (EEG). This is a time-consuming task requiring significant training and experience. Automatic detection of these EEG patterns would greatly assist in quantitative analysis and interpretation. We present a method, which allows automatic detection of epileptiform events and discrimination of them from eye blinks, and is based on features derived using a novel application of independent component analysis. The algorithm was trained and cross validated using seven EEGs with epileptiform activity. For epileptiform events with compensation for eyeblinks, the sensitivity was 65 +/- 22% at a specificity of 86 +/- 7% (mean +/- SD). With feature extraction by PCA or classification of raw data, specificity reduced to 76 and 74%, respectively, for the same sensitivity. On exactly the same data, the commercially available software Reveal had a maximum sensitivity of 30% and concurrent specificity of 77%. Our algorithm performed well at detecting epileptiform events in this preliminary test and offers a flexible tool that is intended to be generalized to the simultaneous classification of many waveforms in the EEG.

Road Equipment Procurement and Utilization Study, October 2002

Final report of road equipment procurement and utilization study.

Ocorrência e significado do toque entre profissionais de enfermagem e pacientes de uma UTI e Unidade Semi-intensiva cirúrgica

Este trabalho tem como objetivos identificar a utilização, pelos profissionais de Enfermagem, do toque instrumental e/ou afetivo e suas características, na comunicação não-verbal com os pacientes da UTI e unidade semi-intensiva cirúrgica do HU-USP; e os sentimentos e percepções dos profissionais de Enfermagem e dos pacientes em relação aos toques experimentados. O estudo foi desenvolvido com 19 profissionais e 19 pacientes, no período de outubro a novembro de 2000, através de observação direta das interações e entrevista individual. Os sentimentos e percepções relatados foram categorizados e percebemos que a maioria dos toques é instrumental-afetivo.

Evaluation of the State Highway System and Road Use Tax Fund (RUTF), 2003

This report was prepared by a committee of city, county and state representatives. The committee met throughout 2002 with the purpose of reviewing and making recommendations to improve the efficiency and operation of Iowa's road and street system. This report is referenced in SF 451 and in Code Section 306.8A.

Conseqüências dos erros de medicação em unidades de terapia intensiva e semi-intensiva

O estudo objetivou caracterizar erros de medicação e avaliar conseqüências na gravidade dos pacientes e carga de trabalho de enfermagem em duas Unidades de Terapia Intensiva (UTI) e duas Semi-Intensiva (USI) de duas instituições hospitalares do município de São Paulo. A amostra foi constituída por 50 pacientes e os dados obtidos por meio do registro de ocorrências e prontuários, retrospectivamente. A gravidade e carga de trabalho de enfermagem foram avaliadas antes e após o erro. Do total de 52 erros, 12 (23,08%) ocorreram por omissão de dose, 11 (21,15%) e 9 (17,31%) por medicamento e dose erradas, respectivamente. Não houve mudança na gravidade dos pacientes (p=0,316), porém houve aumento na carga de trabalho de enfermagem (p=0,009). Quanto ao grupo de medicamentos envolvidos, potencialmente perigosos e não potencialmente perigosos, não houve diferenças estatisticamente significantes na gravidade (p=0,456) e na carga de trabalho de enfermagem (p=0,264), após o erro de medicação.

Automatic generation of active coordinates for quantum dynamics calculations: application to the dynamics of benzene photochemistry

A new practical method to generate a subspace of active coordinates for quantum dynamics calculations is presented. These reduced coordinates are obtained as the normal modes of an analytical quadratic representation of the energy difference between excited and ground states within the complete active space self-consistent field method. At the Franck-Condon point, the largest negative eigenvalues of this Hessian correspond to the photoactive modes: those that reduce the energy difference and lead to the conical intersection; eigenvalues close to 0 correspond to bath modes, while modes with large positive eigenvalues are photoinactive vibrations, which increase the energy difference. The efficacy of quantum dynamics run in the subspace of the photoactive modes is illustrated with the photochemistry of benzene, where theoretical simulations are designed to assist optimal control experiments

Multisensor change detection with nonlinear canonical correlation

The analysis of multi-modal and multi-sensor images is nowadays of paramount importance for Earth Observation (EO) applications. There exist a variety of methods that aim at fusing the different sources of information to obtain a compact representation of such datasets. However, for change detection existing methods are often unable to deal with heterogeneous image sources and very few consider possible nonlinearities in the data. Additionally, the availability of labeled information is very limited in change detection applications. For these reasons, we present the use of a semi-supervised kernel-based feature extraction technique. It incorporates a manifold regularization accounting for the geometric distribution and jointly addressing the small sample problem. An exhaustive example using Landsat 5 data illustrates the potential of the method for multi-sensor change detection.

Ressuscitação cardiopulmonar com a utilização do desfibrilador externo semi-automático: avaliação do processo ensino-aprendizagem

Estudos demonstram que a sobrevida após uma parada cardíaca diminui 10% para cada minuto de atraso na desfibrilação, e que a taxa de sobrevivência é de 98% quando ela é conseguida em 30 segundos. No atendimento de uma parada cardíaca, é primordial que seja incluído no treinamento a utilização dos desfibriladores externos semi-automáticos (DEA). O objetivo deste estudo foi comparar a Habilidade Psicomotora e o Conhecimento Teórico de leigos na técnica da ressuscitação cardiopulmonar (RCP) utilizando o DEA, antes e após treinamento. A amostra constituiu-se de 40 funcionários administrativos de uma instituição pública que receberam treinamento da técnica da RCP, utilizando o DEA, em laboratório. O aumento significativo de acertos nos itens do instrumento de avaliação da Habilidade Psicomotora e do Conhecimento Teórico, após o treinamento, indica que houve melhora no desempenho dos participantes.

Automatic recognition of postural allocations.

A significant part of daily energy expenditure may be attributed to non-exercise activity thermogenesis and exercise activity thermogenesis. Automatic recognition of postural allocations such as standing or sitting can be used in behavioral modification programs aimed at minimizing static postures. In this paper we propose a shoe-based device and related pattern recognition methodology for recognition of postural allocations. Inexpensive technology allows implementation of this methodology as a part of footwear. The experimental results suggest high efficiency and reliability of the proposed approach.

Analysis and evaluation of techniques for the extraction of classes in the ontology learning process

This paper analyzes and evaluates, in the context of Ontology learning, some techniques to identify and extract candidate terms to classes of a taxonomy. Besides, this work points out some inconsistencies that may be occurring in the preprocessing of text corpus, and proposes techniques to obtain good terms candidate to classes of a taxonomy.