A comparison of two statistical methods for analysis of day of the week effect on births from 2005-2007 in Harris County of Texas

The pattern of the births during the week has been reported by many studies. The births occurred in weekends are found consistently less then births occurred in weekdays. This study employed two statistical methods, two-way ANOVA and two-way Friedman's test to analyse the daily variations in amount of births of 222,735 births from 2005-2007 in Harris County, Texas. The two methods were compared on their assumptions, procedures and results. Both of the tests showed a significant result which indicated that the births through the week are not uniformly distributed. The result of multiple comparison demonstrated the births occurring on weekends were significantly different than the births occurring on weekdays with least amount on Sundays.^

Desarrollo de estándares de calidad para uvas Vitis vinifera L. cv. Malbec y Syrah

El objetivo del trabajo fue desarrollar estándares de calidad de uva basados en atributos físicos y químicos, capaces de predecir la calidad del vino. Se instaló una red de ensayos en Mendoza (Norte, Este y Valle de Uco), San Juan (Valle de Zonda), La Rioja (Chilecito), Catamarca y Salta (Valles Calchaquíes) (Argentina). Se ensayaron niveles de carga de uva (desbrote 30 y 50%, raleo 30 y 50% y testigo) en Malbec y Syrah. En la cosecha, las uvas fueron analizadas (tamaño baya, concentración azucarina, pH, antocianos, catequinas, taninos, fenoles totales) y vinificadas. Los vinos fueron analizados (alcohol, extracto seco, intensidad colorante, matiz, antocianos, catequinas, taninos, fenoles totales, color polimérico) y evaluados por un panel de degustadores. Empleando todos las variables de los vinos, mediante un análisis de componentes principales, se generaron dos índices que resumieron los atributos con mayor peso explicativo de la variabilidad observada (80%); ellos fueron: Riqueza Fenólica (RF, asociado a antocianos, taninos, catequinas, fenoles totales y concentración) y Peligro Oxidativo (PO, asociado a pH, matiz y tonalidad percibida). No existieron diferencias en cuanto a RF entre variedades ni entre niveles de producción de uva. Los vinos con RF mayor y PO menor se consideraron de mayor calidad. Las uvas cultivadas en zonas más frías tuvieron una mayor RF. En Malbec, las zonas frías y los bajos niveles productivos generaron un PO menor. Para cada variedad se desarrollaron predictores para RF y PO del vino. Se usó la regresión múltiple lineal paso a paso, seleccionando las variables de la uva con mayor poder predictivo. Se definieron las funciones de ajuste RFpred (Malbec R2 = 80%; Syrah R2 = 62%) y POpred (Malbec R2 = 80%; Syrah R2 = 62%). Los índices se tradujeron en estándares de calidad que mostraron concordancia entre uvas y vinos. La metodología puede ser válida para otras variedades tintas, pero debe ajustarse para cada caso. Los estándares permitirían asociar un precio a cada calidad y aumentar la transparencia del mercado.

Análisis de componentes principales con datos georreferenciados : una aplicación en agricultura de precisión

La utilización de nuevas tecnologías asociadas a la agricultura de precisión permite capturar información de múltiples variables en gran cantidad de sitios georreferenciados dentro de lotes en producción. Las covariaciones espaciales de las propiedades del suelo y el rendimiento del cultivo pueden evaluarse a través del análisis de componentes principales clásico (PCA). No obstante, como otros métodos multivariados descriptivos, el PCA no ha sido desarrollado explícitamente para datos espaciales. Nuevas versiones de análisis multivariado permiten contemplar la autocorrelación espacial entre datos de sitios vecinos. En este trabajo se aplican y comparan los resultados de dos técnicas multivariadas, el PCA y MULTISPATI-PCA. Este último incorpora la información espacial a través del cálculo del índice de Moran entre los datos de un sitio y el dato promedio de sus vecinos. Los resultados mostraron que utilizando MULTISPATI-PCA se detectaron correlaciones entre variables que no fueron detectadas con el PCA. Los mapas de variabilidad espacial construidos a partir de la primera componente de ambas técnicas fueron similares; no así los de la segunda componente debido a cambios en la estructura de co-variación identificada, al corregir la variabilidad por la autocorrelación espacial de los datos. El método MULTISPATI-PCA constituye una herramienta importante para el mapeo de la variabilidad espacial y la identificación de zonas homogéneas dentro de lotes.

Caracterización de poblaciones nativas de maíz mediante Análisis de Procrustes Generalizado y Análisis Factorial Múltiple

El establecimiento de relaciones entre taxones es un paso esencial en el proceso de catalogación y evaluación del material conservado en un Banco de Germoplasma. Existen distintos métodos de evaluación en función del tipo de caracteres estudiados. Cuando el registro de caracteres se repite en el tiempo y en distintos ambientes, se debe separar la variabilidad intrínsecamente genética entre los taxones de aquella que se debe al ambiente, y más aún, de la posible variabilidad debida a la interacción genotipo*ambiente para el posterior establecimiento de relaciones puramente filogenéticas. En el presente trabajo se estudia comparativamente la factibilidad de aplicación de dos estrategias de análisis estadístico para dar solución a este problema. La primera corresponde al análisis tradicional donde se realiza un Análisis de Componentes Principales sobre los caracteres promedios a lo largo de los diferentes ambientes; y la segunda son métodos más complejos en los cuales cada dato es originado por tres modos: individuos, variables y condiciones ambientales, tales como el Análisis Factorial Múltiple y el Análisis de Procrustes Generalizado. Si bien las configuraciones resultantes fueron todas equivalentes, los métodos de tres vías permiten la interpretación de la interacción genotipo*ambiente.

Sediment physicochemical properties condition pollutant association : a multivariate study of polybrominated diphenyl ethers on the Mendoza River irrigation areas

This work is a multidisciplinary environmental study that provides new insights into the relationships between sediment-organic matter characteristics and polybrominated diphenyl ethers (PBDEs) concentration. The aim of the present multivariate study was to correlate factors influencing PBDEs accumulation in sediment by using principal component analysis (PCA). Organic matter studies by Fourier Transform-Infrared spectroscopy and physicochemical analyses (Total Organic Carbon, pH, electrical conductivity) of sediment samples were considered for PCA. Samples were collected from an artificial irrigation network on the Mendoza River irrigation areas. PCA provided a comprehensive analysis of the studied variables, identifying two components that explained 63% of the data variance. Those factors were mainly associated to organic matter degradation degree, which represent a new insight into the relationships between organic matter in sediments and PBDEs fate. In this sense it was possible to determine that not only the content but also the type of organic matter (chemical structure) could be relevant when evaluating PBDEs accumulation and transport in the environment. Typification of organic matter may be a useful tool to predict more feasible areas where PBDE, may accumulate, as well as sediment transportation capability.

Benthic foraminifera in surface sediments of the Arabian Sea

Assemblages of living deep-sea benthic foraminifera, their densities, vertical distribution pattern, and diversity, were investigated in the intermonsoon period after the northeast monsoon in the Arabian Sea in spring 1997. Foraminiferal numbers show a distinct gradient from north to south, with a maximum of 623 foraminifera in 50 cm**3 at the northern site. High percentages of small foraminifera were found in the western and northern part of the Arabian Sea. Most stations show a typical vertical distribution with a maximum in the first centimeter and decreasing numbers with increasing sediment depths. But at the central station, high densities can be found even in deeper sediment layers. Diversity is very high at the northern and western sites, but reduced at the central and southern stations. Data and faunal assemblages were compared with studies carried out in 1995. A principal component analysis of intermonsoon assemblages shows that the living benthic foraminifera can be characterized by five principal component communities. Dominant communities influencing each site differ strongly between the two years. In spring 1997, stations in the north, west and central Arabian Sea were dominated by opportunistic species, indicating the influence of fresh sedimentation pulses or enhanced organic carbon fluxes after the northeast monsoon.

Diatom abundance in middle-to-late Pleistocene sediments of IODP Site 303-U1304

We examined diatom assemblages in a series of remarkable laminated diatomaceous ooze (LDO) horizons in the marine sediments from Integrated Ocean Drilling Program (IODP) Site U1304 to reconstruct the middle-to-late Pleistocene paleoceanographic evolution of the northern North Atlantic Ocean. Four confirmed diatom biohorizons combined with calcareous nannofossil and paleomagnetic stratigraphies established the chronological framework for the material. The planktonic, araphid, needle-like species Thalassiothrix longissima was the greatest contributor to the LDO facies. From the results of a principal component analysis using the percent abundances of 65 significant (p = 5%) diatom taxa, except for Tx. longissima, which was extremely dominant in almost all horizons observed, we identified two principal component (PC) axes. Taxa probably associated with the stratigraphic distribution of the major zonal marker Neodenticula seminae (ranging from 1.26 to 0.84 Ma in this ocean) loaded on PC1 with a high value. PC2 was related to the ocean surface temperature. The stratigraphic variability of the PC2 score indicated that switching between warm- and cold-water assemblages occurred concurrently with LDO deposition (or extreme Tx. longissima dominance) episodes in several horizons (particularly after 0.84 Ma), suggesting that the Subarctic Convergence (SAC) oceanic front passed over Site U1304 during Pleistocene glacial/interglacial cycles. Our floral evidence supports the model of nearly monospecific LDO formation caused by the enhanced physical accumulation of particular diatoms such as Tx. longissima. On the other hand, Nd. seminae, which probably contributes to spring phytoplankton blooms in the modern ocean, was present only between 1.26 and 0.84 Ma in this area. Thus, we infer that the main contributor of export flux in the regional annual primary production cycle would have shifted drastically from one of a spring phytoplankton bloom leader (Nd. seminae) to minor but mass dump assemblages (Tx. longissima etc.) in the mid-Pleistocene.

Component analysis of three TV-guided grab sampler from the Sahul Shelf (NW Australia)

This paper constitutes a first detailed and systematic facies and biota description of an isolated carbonate knoll (Pee Shoal) in the Timor Sea (Sahul Shelf, NW Australia). The steep and flat-topped knoll is characterized by a distinct facies zonation comprising (A) soft sediments with scattered debris and scarce sponges, hydrozoans and crinoids (320-210 m water depth), (B) hardground outcrops (step-like banks, vertical cliffs) that are mainly colonized by octocorals and sponges (210-75 m), and (C) the summit region (75-21 m) where the slopes merge gently into the flat-topped summit that is densely colonized by massive and encrusting zooxanthellate corals and the octocoral Heliopora coerulea. In contrast, the sediments recovered from the summit are dominated by the green alga Halimeda, subordinate components are corals, benthic foraminifers, mollusks, and coralline red algae. Thus, the sediments are classified as chlorozoan grain assemblage. However, non-skeletal grains (fecal pellets, ooids) are almost completely absent. This discrepancy between the living biota and the sediment composition could reflect a disruption by the severe tropical cyclone Ingrid that hit the northern Australian shelf in March 2005, just before the sampling for this study took place (September 2005).

Two-dimensional (2-D) peat microtopographical model

Matlab script file of a two-dimensional (2-D) peat microtopographical model together with other supplementary files that are required to run the model.