Data Set Used
Chenopodium quinoa can grow at altitudes of 3,600–4,000 masl and is adapted to the highly arid conditions typical of the salty soils in the South American Altiplano, with less than 250 mm of annual rain and temperatures below 0°C. The aim of the study was to investigate the effect of salinity on the dehydrin content of mature embryos harvested from… (More)
In plants, post-transcriptional RNA silencing (PTGS) signals move beyond their sites of synthesis using channels called plasmodesmata (PD). However, a potential influence of PD permeability in silencing signal movement has not been addressed previously. PD connectivity and aperture are routinely determined by monitoring the cell-to-cell movement of protein… (More)
Goldmann applanation tonometry is commonly used for measuring intraocular pressure (IOP) to diagnose glaucoma. However, the measured IOP by conventional applanation tonometry is valid only under the assumption that all subjects have the same structural eye stiffness. This paper challenges in vivo measurement of eye stiffness with a noninvasive approach and… (More)
This paper proposes a method for eliminating multicollinearity from linear regression models. Specifically, we select the best subset of explanatory variables subject to the upper bound on the condition number of the correlation matrix of selected variables. We first develop a cutting plane algorithm that, to approximate the condition number constraint,… (More)
The variance inflation factor, VIF, is the most frequently used indicator for detecting multicollinearity in multiple linear regression models. This paper proposes two mixed integer quadratic optimization formulations for selecting the best subset of explanatory variables under upper-bound constraints on VIF of selected variables. Computational results… (More)
The variance inflation factor, VIF, is frequently used for detecting multi-collinearity in multiple linear regression models. This paper proposes a mixed integer quadratic optimization formulation for selecting the best subset of explanatory variables under the upper bound constraints on the VIF of selected variables.