Extraction of artefactual MRS patterns from a large database using non-negative matrix factorization

Despite the success of automated pattern recognition methods in problems of human brain tumor diagnostic classification, limited attention has been paid to the issue of automated data quality assessment in the field of MRS for neuro-oncology. Beyond some early attempts to address this issue, the current standard in practice is MRS quality control through human (expert-based) assessment. One aspect of automatic quality control is the problem of detecting artefacts in MRS data. Artefacts, whose variety has already been reviewed in some detail and some of which may even escape human quality control, have a negative influence in pattern recognition methods attempting to assist tumor characterization. The automatic detection of MRS artefacts should be beneficial for radiology as it guarantees more reliable tumor characterizations, as well as the development of more robust pattern recognition-based tumor classifiers and more trustable MRS data processing and analysis pipelines. Feature extraction methods have previously been used to help distinguishing between good and bad quality spectra to apply subsequent supervised pattern recognition techniques. In this study, we apply feature extraction differently and use a variant of a method for blind source separation, namely Convex Non-Negative Matrix Factorization, to unveil MRS signal sources in a completely unsupervised way. We hypothesize that, while most sources will correspond to the different tumor patterns, some of them will reflect signal artefacts. The experimental work reported in this paper, analyzing a combined short and long echo time 1H-MRS database of more than 2000 spectra acquired at 1.5T and corresponding to different tumor types and other anomalous masses, provides a first proof of concept that points to the possible validity of this approach.Peer ReviewedPostprint (author's final draft

Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress

This review explores how imaging techniques are being developed with a focus on deployment for crop monitoring methods. Imaging applications are discussed in relation to both field and glasshouse-based plants, and techniques are sectioned into ‘healthy and diseased plant classification’ with an emphasis on classification accuracy, early detection of stress, and disease severity. A central focus of the review is the use of hyperspectral imaging and how this is being utilised to find additional information about plant health, and the ability to predict onset of disease. A summary of techniques used to detect biotic and abiotic stress in plants is presented, including the level of accuracy associated with each method

Mortalidade por doenças cardiorrespiratórias em idosos no estado de Mato Grosso, 1986 a 2006

OBJETIVO: Descrever a evolução temporal da mortalidade por doenças cardiorrespiratórias em idosos. MÉTODOS: Estudo epidemiológico descritivo com delineamento ecológico de séries temporais realizado no estado do Mato Grosso, de 1986 a 2006. Foram utilizados dados sobre doenças dos aparelhos respiratório e circulatório obtidos do Sistema de Informação sobre Mortalidade do Ministério da Saúde. Modelos de regressão linear simples foram ajustados para avaliar a tendência das taxas específicas de mortalidade por grupos específicos de idade (60 a 69, 70 a 79 e 80 ou mais anos) e sexo. RESULTADOS: Houve aumento na proporção de óbitos por doenças respiratórias e diminuição por doenças cardiovasculares. Na comparação de taxas entre os sexos, as mulheres apresentaram taxas 15% menores para as causas cardiovasculares e taxas similares ao sexo masculino para as causas respiratórias. Foi observada taxa elevada de mortalidade por doenças respiratórias e cardiovasculares, com importante tendência de incremento entre os grupos mais longevos. Em idosos com idade >; 80 anos o aumento anual médio na taxa de mortalidade por doenças respiratórias foi de 1,99 óbitos e de 3,43 por doenças do aparelho circulatório. CONCLUSÕES: O estado de Mato Grosso apresenta elevada taxa de mortalidade por doenças respiratórias e cardiovasculares em idosos, com importante tendência de incremento entre os grupos mais longevos.OBJETIVO: Describir la evolución temporal de la mortalidad por enfermedades cardiorrespiratorias en ancianos. MÉTODOS: Estudio epidemiológico descriptivo con delineamiento ecológico de series temporales realizado en el Estado de Mato Grosso, Centro-Oeste de Brasil, de 1986 a 2006. Se utilizaron datos sobre enfermedades de los aparatos respiratorio y circulatorio obtenidos del Sistema de Información sobre Mortalidad del Ministerio de la Salud. Modelos de regresión lineal simple fueron ajustados para evaluar la tendencia de las tasas específicas de mortalidad por grupos específicos de edad (60 a 69, 70 a 70 y 80 o más años) y sexo. RESULTADOS: Hubo aumento en la proporción de óbitos por enfermedades respiratorias y disminución por enfermedades cardiovasculares. En la comparación de tasas entre los sexos, las mujeres presentaron tasas 15% menores para las causas cardiovasculares y tasas similares al sexo masculino para las causas respiratorias Se observó tasa elevada de mortalidad por enfermedades respiratorias y cardiovasculares, con importante tendencia de incremento entre los grupos más longevos. En ancianos con edad ³80 años o aumento anual promedio en la tasa de mortalidad por enfermedades respiratorias fue de 1,99 óbitos y de 3,43 por enfermedades del aparato circulatorio. CONCLUSIONES: El Estado de Mato Grosso presenta elevada tasa de mortalidad por enfermedades respiratorias y cardiovasculares en ancianos, con importante tendencia de incremento entre los grupos más longevos.OBJECTIVE: To describe time trends of mortality due to cardiorespiratory diseases in elderly people. METHODS: Epidemiological descriptive study with an ecological time series approach conducted in the state of Mato Grosso, Central-West Brazil, between 1986 and 2006. Data were obtained from the Brazilian Ministry of Health Mortality Database. Linear regression models were adjusted to analyze trends in mortality rates by age groups (60 to 69; 70 to 79; and 80 or more) and gender. RESULTS: There was an increase in proportion of deaths due to respiratory diseases and a decrease in proportion of deaths due to cardiovascular diseases. As for gender, cardiovascular rates were 15% lower in women than men and respiratory rates were similar in both men and women. High mortality rates for respiratory and cardiovascular diseases were observed with increasing trends among the oldest-old groups. The annual average increase for respiratory and cardiovascular diseases in those aged 80 years and older was 1.99 and 3.43 deaths, respectively. CONCLUSIONS: The state of Mato Grosso shows high mortality rates due to cardiorespiratory disease among elderly people with increasing trends among the oldest-old groups

Revista de Saúde Pública: 50 years disseminating the knowledge in nutrition

ABSTRACT This work describes and comments on articles in the area of Public Health Nutrition published in Revista de Saúde Pública (RSP – Public Health Journal) from 1967 to 2016. We searched in the PubMed database restricted to the periodical “Revista de Saúde Pública” and using terms related to key topics in the area of Public Health Nutrition. We retrieved 742 articles and, after exclusion of duplicates and articles unrelated to the subject, we analyzed 441 articles, grouped according to subject: dental caries, anemia, hypovitaminosis A, macro/micronutrients, malnutrition, nutritional assessment, overweight/obesity, food consumption, low birthweight, and breastfeeding. We observed significant increase in the number of articles published and diversification of subjects addressed over the 50 years, representing the consistent development of the scientific field of Nutrition in Brazil. Since its inception, RSP has played an important role in the dissemination of knowledge about the main nutritional issues in Brazil