Predicting SO2 pollution incidents by means of additive models with optimum variable selection

The aim of this paper is to predict time series of SO2 concentrations emitted by coal-fired power stations in order to estimate in advance emission episodes and analyze the influence of some meteorological variables in the prediction. An emission episode is said to occur when the series of bi-hourly means of SO2 is greater than a specific level. For coal-fired power stations it is essential to predict emission epi- sodes sufficiently in advance so appropriate preventive measures can be taken. We proposed a meth- odology to predict SO2 emission episodes based on using an additive model and an algorithm for variable selection. The methodology was applied to the estimation of SO2 emissions registered in sampling lo- cations near a coal-fired power station located in Northern Spain. The results obtained indicate a good performance of the model considering only two terms of the time series and that the inclusion of the meteorological variables in the model is not significant.

Resolving the ancestry of Austronesian‑speaking populations

There are two very different interpretations of the prehistory of Island Southeast Asia (ISEA), with genetic evidence invoked in support of both. The "out-of-Taiwan" model proposes a major Late Holocene expansion of Neolithic Austronesian speakers from Taiwan. An alternative, proposing that Late Glacial/postglacial sea-level rises triggered largely autochthonous dispersals, accounts for some otherwise enigmatic genetic patterns, but fails to explain the Austronesian language dispersal. Combining mitochondrial DNA (mtDNA), Y-chromosome and genome-wide data, we performed the most comprehensive analysis of the region to date, obtaining highly consistent results across all three systems and allowing us to reconcile the models. We infer a primarily common ancestry for Taiwan/ISEA populations established before the Neolithic, but also detected clear signals of two minor Late Holocene migrations, probably representing Neolithic input from both Mainland Southeast Asia and South China, via Taiwan. This latter may therefore have mediated the Austronesian language dispersal, implying small-scale migration and language shift rather than large-scale expansion.

Laboratory assessment of the hypertensive individual. Value of the main guidelines for high blood pressure

OBJECTIVE: To determine if abnormal laboratory findings are more common in individuals with hypertension and in those with other risk factors, such as obesity, smoking and alcohol ingestion. METHODS: A study was carried out in the general outpatient clinics of a university hospital (145 individuals without previous diagnosis of hypertension) and the following variables were assessed: high blood pressure (as defined by the VI Joint National Committee on Prevention, Detection and Treatment of High Blood Pressure - VI JNC), obesity [calculated using body mass index (BMI)], tobacco use, and alcoholic ingestion. The laboratory examinations consisted of the following tests: hemogram, glycemia, uric acid, potassium, total/HDL-fraction cholesterol, triglycerides, calcium and creatinine. RESULTS: High blood pressure was not associated with a higher number of abnormal laboratory tests. Hypertensive individuals with a BMI > or = 25kg/m² or normotensive obese individuals, however, had a higher frequency of diabetes (12X), hypertriglyceridemia (3X), and hypercholesterolemia (2X), as compared with hypertensive individuals with BMI <25kg/m² and preobese/normal weight normotensive individuals. CONCLUSION: High blood pressure is not associated with a higher frequency of abnormal laboratory tests. The association of high blood pressure and obesity, however, increases the detection of diabetes and dyslipidemias.

A critical evaluation of methods for the reconstruction of tissue-specific models

Under the framework of constraint based modeling, genome-scale metabolic models (GSMMs) have been used for several tasks, such as metabolic engineering and phenotype prediction. More recently, their application in health related research has spanned drug discovery, biomarker identification and host-pathogen interactions, targeting diseases such as cancer, Alzheimer, obesity or diabetes. In the last years, the development of novel techniques for genome sequencing and other high-throughput methods, together with advances in Bioinformatics, allowed the reconstruction of GSMMs for human cells. Considering the diversity of cell types and tissues present in the human body, it is imperative to develop tissue-specific metabolic models. Methods to automatically generate these models, based on generic human metabolic models and a plethora of omics data, have been proposed. However, their results have not yet been adequately and critically evaluated and compared. This work presents a survey of the most important tissue or cell type specific metabolic model reconstruction methods, which use literature, transcriptomics, proteomics and metabolomics data, together with a global template model. As a case study, we analyzed the consistency between several omics data sources and reconstructed distinct metabolic models of hepatocytes using different methods and data sources as inputs. The results show that omics data sources have a poor overlapping and, in some cases, are even contradictory. Additionally, the hepatocyte metabolic models generated are in many cases not able to perform metabolic functions known to be present in the liver tissue. We conclude that reliable methods for a priori omics data integration are required to support the reconstruction of complex models of human cells.

Tapping the wealth of microbial data in high-throughput metabolic model reconstruction

Genome-scale metabolic models are valuable tools in the metabolic engineering process, based on the ability of these models to integrate diverse sources of data to produce global predictions of organism behavior. At the most basic level, these models require only a genome sequence to construct, and once built, they may be used to predict essential genes, culture conditions, pathway utilization, and the modifications required to enhance a desired organism behavior. In this chapter, we address two key challenges associated with the reconstruction of metabolic models: (a) leveraging existing knowledge of microbiology, biochemistry, and available omics data to produce the best possible model; and (b) applying available tools and data to automate the reconstruction process. We consider these challenges as we progress through the model reconstruction process, beginning with genome assembly, and culminating in the integration of constraints to capture the impact of transcriptional regulation. We divide the reconstruction process into ten distinct steps: (1) genome assembly from sequenced reads; (2) automated structural and functional annotation; (3) phylogenetic tree-based curation of genome annotations; (4) assembly and standardization of biochemistry database; (5) genome-scale metabolic reconstruction; (6) generation of core metabolic model; (7) generation of biomass composition reaction; (8) completion of draft metabolic model; (9) curation of metabolic model; and (10) integration of regulatory constraints. Each of these ten steps is documented in detail.

Introduction [to Contact force models for multibody dynamics]

"Series: Solid mechanics and its applications, vol. 226"

Pure elastic contact force models

"Series: Solid mechanics and its applications, vol. 226"

Dissipative contact force models

"Series: Solid mechanics and its applications, vol. 226"

Contact force models for multibody dynamics

"Series: Solid mechanics and its applications, vol. 226"

Clinical and laboratory evaluation of hyperlipemic and hypothyroid patients

OBJECTIVE: To determine the frequency of hypothyroidism in a sample of hyperlipemic patients and evaluate clinical and laboratory factors indicative of thyropathy among them. METHODS: Fifty-one hyperlipemic patients, grouped according to an earlier or recent diagnosis of their thyroid function into euthyroid and hypothyroid, were evaluated with clinical and laboratory examinations of blood levels of free T4 and TSH (by radioimmunoassay). Patients were on average 46.8±11.7 years old, predominantly of the female sex (62.5%); 31% had a previous diagnosis of hypothyroidism and were under treatment with thyroxin. RESULTS: Fourteen three percent of patients analyzed had hypothyroidism, which had not been detected before. Differentiating attributes of the groups analyzed were: a predominance of females among the hypothyroid patients and a higher HDL serum concentration among those recently diagnosed. CONCLUSION: In the present study, new cases of hypothyroidism in hyperlipemic patients were a frequent occurrence, yet few clinical and laboratory data except tests evaluating free T4 and TSH in the blood indicated which patients had thyroid dysfunction.

Behavior of inflammatory markers of myocardial injury in cardiac surgery: laboratory correlation with the clinical picture of postpericardiotomy syndrome

OBJECTIVE: To verify the association of serum markers of myocardial injury, such as troponin I, creatinine kinase, and creatinine kinase isoenzyme MB, and inflammatory markers, such as tumor necrosis factor alpha (TNF-alpha), C-reactive protein, and the erythrocyte sedimentation rate in the perioperative period of cardiac surgery, with the occurrence of possible postpericardiotomy syndrome. METHODS: This was a cohort study with 96 patients undergoing cardiac surgery assessed at the following 4 different time periods: the day before surgery (D0); the 3rd postoperative day (D3); between the 7th and 10th postoperative days (D7-10); and the 30th postoperative day (D30). During each period, we evaluated demographic variables (sex and age), surgical variables (type and duration , extracorporeal circulation), and serum dosages of the markers of myocardial injury and inflammatory response. RESULTS: Of all patients, 12 (12.5%) met the clinical criteria for a diagnosis of postpericardiotomy syndrome, and their mean age was 10.3 years lower than the age of the others (P=0.02). The results of the serum markers for tissue injury and inflammatory response were not significantly different between the 2 assessed groups. No significant difference existed regarding either surgery duration or extracorporeal circulation. CONCLUSION: The patients who met the clinical criteria for postpericardiotomy syndrome were significantly younger than the others were. Serum markers for tissue injury and inflammatory response were not different in the clinically affected group, and did not correlate with the different types and duration of surgery or with extracorporeal circulation.

Modelos Mixtos-Aditivos Generalizados para el Estudio de Fenómenos Biológicos y Sociales Descriptos por Datos Agregados y/o Longitudinales. Generalized Mixed Additive Models for the Study of Biological and Social Phenomenons from Longitudinal and/or Aggregated Data.

Este proyecto propone extender y generalizar los procesos de estimación e inferencia de modelos aditivos generalizados multivariados para variables aleatorias no gaussianas, que describen comportamientos de fenómenos biológicos y sociales y cuyas representaciones originan series longitudinales y datos agregados (clusters). Se genera teniendo como objeto para las aplicaciones inmediatas, el desarrollo de metodología de modelación para la comprensión de procesos biológicos, ambientales y sociales de las áreas de Salud y las Ciencias Sociales, la condicionan la presencia de fenómenos específicos, como el de las enfermedades.Es así que el plan que se propone intenta estrechar la relación entre la Matemática Aplicada, desde un enfoque bajo incertidumbre y las Ciencias Biológicas y Sociales, en general, generando nuevas herramientas para poder analizar y explicar muchos problemas sobre los cuales tienen cada vez mas información experimental y/o observacional.Se propone, en forma secuencial, comenzando por variables aleatorias discretas (Yi, con función de varianza menor que una potencia par del valor esperado E(Y)) generar una clase unificada de modelos aditivos (paramétricos y no paramétricos) generalizados, la cual contenga como casos particulares a los modelos lineales generalizados, no lineales generalizados, los aditivos generalizados, los de media marginales generalizados (enfoques GEE1 -Liang y Zeger, 1986- y GEE2 -Zhao y Prentice, 1990; Zeger y Qaqish, 1992; Yan y Fine, 2004), iniciando una conexión con los modelos lineales mixtos generalizados para variables latentes (GLLAMM, Skrondal y Rabe-Hesketh, 2004), partiendo de estructuras de datos correlacionados. Esto permitirá definir distribuciones condicionales de las respuestas, dadas las covariables y las variables latentes y estimar ecuaciones estructurales para las VL, incluyendo regresiones de VL sobre las covariables y regresiones de VL sobre otras VL y modelos específicos para considerar jerarquías de variación ya reconocidas. Cómo definir modelos que consideren estructuras espaciales o temporales, de manera tal que permitan la presencia de factores jerárquicos, fijos o aleatorios, medidos con error como es el caso de las situaciones que se presentan en las Ciencias Sociales y en Epidemiología, es un desafío a nivel estadístico. Se proyecta esa forma secuencial para la construcción de metodología tanto de estimación como de inferencia, comenzando con variables aleatorias Poisson y Bernoulli, incluyendo los existentes MLG, hasta los actuales modelos generalizados jerárquicos, conextando con los GLLAMM, partiendo de estructuras de datos correlacionados. Esta familia de modelos se generará para estructuras de variables/vectores, covariables y componentes aleatorios jerárquicos que describan fenómenos de las Ciencias Sociales y la Epidemiología.

Procesos adaptativos y dimensiones del comportamiento biosocial en cazadores recolectores del SW de la provincia de La Pampa.

Resumen del proyecto: Este resumen se incluirá en la base de datos de la Biblioteca Digital del Ministerio, por lo que se debe elaborar el mismo sobre la base de la siguiente estructura y completar todos los campos que se indican a continuación: identificación y caracterización del problema objeto del estudio, hipótesis, planteo de objetivos, materiales y métodos a utilizar, resultados esperados, importancia del proyecto (extensión del campo 4000 caracteres). Proyecto diseñado para aportar al conocimiento de los procesos adaptativos y la dinámica biosocial de las sociedades del pasado prehistórico argentino. Propone analizar y evaluar el potencial documental de los restos bioarqueológicos con fehaciente asociación contextual para posibilitar la realización de inferencias sobre procesos biosociales de naturaleza adaptativa o no adaptativa. Está centrado en el análisis osteológico y biocultural de materiales esqueletales (aproximadamente cien individuos) correspondientes a poblaciones aborígenes prehistóricas del actual territorio de la provincia de La Pampa (Médano Petroquímica, Departamento Puelén). Entre otros muchos aspectos, la importancia de estos materiales reside en que son asignables a sociedades con economía cazadora-recolectora y cuya cronología corresponde al Holoceno tardío final (Entierros datados en 393 ± 41 cal AP AMS.), una época particularmente interesante por la dinámica sucesión de eventos socioculturales y poblacionales que la caracterizan. La evidencia recuperada da cuenta de prácticas funerarias complejas que consisten en la realización de enterratorios colectivos, indirectos, secundarios, y presencia de eventos de violencia y/o tensión social. Los métodos y técnicas consisten en la descripción e identificación basados en observación y registro de marcadores esqueléticos conforme a prácticas estándares de nuestro laboratorio: Planillas de observación y registro durante excavaciones de la Archaeological Summer Field School (ASFS) de la Universidad de Chicago y planillas de los “Standards” de Buikstra y Ubelaker, modificadas y adaptadas por nuestro grupo de trabajo, entre otros). Los datos obtenidos serán empleados para graficación (estadística descriptiva) y también se realizará sobre ellos análisis multivariados y estadística no paramétrica (etapa inferencial). Se tendrán en cuenta aspectos descriptivos y analíticos vinculados con el reconocimiento de la edad y el sexo, hábitos dietarios (marcadores morfológicos y químicos de hueso y dientes), economía de subsistencia, patrones de diferenciación social, exploración de eventuales relaciones de parentesco, roles vinculados con el sexo, el uso del cuerpo, dieta, salud y enfermedad, en relación con la economía de subsistencia, etc. (Buikstra y Beck 2006, Larsen, 1997, White y Folkens 2000). Dado la naturaleza y complejidad de los hallazgos, caracterizados por la conformación de entierros colectivos secundarios e indirectos, un capítulo de interés lo constituye el análisis de las dimensiones sociales del comportamiento mortuorio y la discusión de los indicadores de violencia y/o tensión social asociados a los hallazgos (O´Shea 1984, Rakita et al. 2005, entre otros). Dado el hecho de que se cuenta con la disponibilidad de materiales adecuados para este tipo de estudios, la información relevante y los datos a analizar serán obtenidos mediante la aplicación de métodos y técnicas bioarqueológicas específicas antes mencionados, con la finalidad de observar y discutir tendencias y proponer modelos de interpretación sujetos a ulterior validación, particularmente toda vez que se cuente con una mayor representación numérica y casuística tanto a nivel de individuos como de sitios bioarqueológicos excavados. El proyecto se enmarca en la firma de un Convenio Específico de Trabajo entre la UNRC y el Gobierno de La Pampa. Palabras clave: Ingrese hasta 5 palabras clave, distintas de las utilizadas en el título del proyecto y que describan la naturaleza del objeto de estudio. bioarqueología economía cazadora-recolectora adaptación biosocial comportamiento mortuorio Violencia y tensión social. Abstract: Resumen del proyecto en inglés (extensión del campo 2000 caracteres). This project has been designed to improve the knoledge on adaptive processes and biosocial dynamics among aborigine past societies in Argentina. This research is focused on the analysis and evaluation of documentary potential of bioarchaeological skeletal remains with reliable contextual associations. It is specifically centered in the osteological as well as cultural analysis of more than one hundred skeletons from native prehistoric populations from a prehistoric collective burial site in La Pampa province. (Médano Petroquímica, Departamento Puelén). Among other aspects, the importance of the materials to be analyzed lies in the fact that they correspond to a subsistence economy based on hunting and gathering, and have been chronologically assigned to Late Holocene times (burials dated 393 ± 41 cal AP AMS), a period denoting particular interest due to the dynamic succession of sociocultural events that characterized it. Evidence so far recovered accounts for complex funerary practices consisting of indirect, secondary collective burials, as well as the presence of events of violence and/o social tension. Methods and techniques consist in the description and identification based on the observation, and recording of skeletal markers, according to laboratory as well as field work standards: The University of Chicago Archaeological Summer Field School (ASFS) forms, and the “Standards” forms from Buikstra y Ubelaker (1994), modified and adapted by our research team, among others. Data obtained shall be used for graphic (descriptive statistics) as well as multivariate analyses and non parametric statistics (inferential stage). Descriptive as well as analytical aspects such as those related to age and sex determination, feeding habits (morphological as well as chemical markers of bones and teeth), subsistence economy, patterns of social differentiation, kinship patterns, sex-linked roles, body use, diet, health and disease, all of them in close relationship with the hunter-gatherer subsistence economy (Buikstra y Beck 2006, Larsen, 1997, White y Folkens 2000). Given the nature and complexity of the burial disposals, characterized by complex collective burials, a core chapter of our interest is that of social dimensions of mortuary behavior as well as the discussion and interpretation of markers of violence and/or social tension. Given the amount of evidence gathered so far, relevant information as well as data to be analyzed will be obtained by specific bioarchaeological methods and techniques, trying to observe and discuss possible trends as well as to formulate interpretive models to be verified or rejected with the arrival of new, reliable data both at individual level as well as at the archaeological sites to be excavated. This project has been particularly considered in a bilateral agreement between UNRC and the Government of La Pampa Province.