Conic optimization: theory and applications

1 This work discusses the roles of second-order cone programming, these tasks are a special class semidefinitního programming. The work summarized basic de- finitions, properties and claims known about these tasks. Special attention is paid to methods of solving SOCP problems. In the last part of the paper are formu- lated in some special tasks of mathematical programming (linear programming, quadratic programming, ...) as special cases of SOCP problems

Env_Data_PONE-D-13-50148_081514

This dataset in csv format consists of all environmental data (moving average mean temperature, moving average standard deviation of temperature, 24-hr mean relative humidity, 4-hr lag black carbon) linked to each unique participant and date of examination visit used in the analysis. This dataset is sorted by participant ID and date of examination visit

Distribution and correlation between air pollutants for one-week averaged concentrations between 1999 and 2011.

<p>* p-value <0.05.</p

Baseline characteristics of the 882 Normative Aging Study participants.

<p>*<b>mg/dL.</b></p><p><b>**mg/L.</b></p><p><b>***ng/mL.</b></p

Summary statistics and Pearson Correlation Coefficients of meteorologic and black carbon measurements at all visits (n = 743), the VA Normative Aging Study, November 2000 to December 2008.

<p>Abbreviations: SD – standard deviation; IQR – interquartile range; 24-hr T_L – 24-hour mean temperature measured from local weather monitor; 24-hr RH – 24-hour mean relative humidity measured from local weather monitor; 24-hr TSD_L – 24-hr standard deviation of temperature measured from local weather monitor; 24-hr T_P – 24-hour mean temperature measured from prediction model; BC – 4-hour lag black carbon measured from central monitoring site.</p><p>Summary statistics and Pearson Correlation Coefficients of meteorologic and black carbon measurements at all visits (n = 743), the VA Normative Aging Study, November 2000 to December 2008.</p

Percent change in fibrinogen for one interquartile range increase in air pollutant according to the endothelial dysfunction genetic score (low versus high).

<p>Percent change in fibrinogen for one interquartile range increase in air pollutant according to the endothelial dysfunction genetic score (low versus high).</p

Percent change in blood markers (fibrinogen, C-reactive protein, and ICAM-1) for one interquartile range increase in air pollutant according to metal processing dysfunction genetic score (low versus high).

<p>Percent change in blood markers (fibrinogen, C-reactive protein, and ICAM-1) for one interquartile range increase in air pollutant according to metal processing dysfunction genetic score (low versus high).</p

Percent change in fibrinogen for one interquartile range increase in air pollutant according to the oxidative stress genetic score (low versus high).

<p>Percent change in fibrinogen for one interquartile range increase in air pollutant according to the oxidative stress genetic score (low versus high).</p

Characteristics of study participants at first visit, the VA Normative Aging Study, November 2000 to December 2008.

<p>Characteristics of study participants at first visit, the VA Normative Aging Study, November 2000 to December 2008.</p

Associations between QTc and 1 interquartile range increase of moving average 24-hr standard deviation of temperature measured from local monitor estimated in subgroups defined by diabetes (3a), coronary heart disease (3b), obesity (3c), and age (3d).

<p>Associations were estimated in linear mixed-effect regression models with random intercept for study participant and adjusted for years since baseline visit, age at baseline visit, race, body mass index, total cholesterol, mean arterial pressure, diabetes, QT prolonging medication, years of education, percent of census tract ≥25 years of age without high school diploma, percent of census tract that is non-white, alcohol consumption, smoking status, day of week, seasonality, 24-hour mean relative humidity, and 4-hour lag black carbon concentration; associations between moving average 24-hr standard deviation of temperature and QTc in each subgroup were estimated from interaction models.</p