BACKGROUND Acinetobacter calcoaceticus-baumannii complex (Acb) is recognized as an important cause of nosocomial infections. Although Acb can be associated with multidrug resistance, its impact on mortality in burn patients has not been fully elucidated. STUDY DESIGN In a retrospective cohort study assessing medical records and microbiology laboratory data at a US military tertiary care burn ...

generally, the measured secondary field data is inverted into resistivity using two principal models; the homogeneous half-space model and the layered half-space model. while the homogeneous half-space inversion uses single frequency data, the inversion is done individually for each of the frequencies used, the multi-layer 1d inversion is able to take the data of all frequencies available into ...

The point mutation 1849 (GT) V617F in the JAK2 gene occurs at high frequency in several chronic myeloproliferative diseases. Although a number of V617F mutation detection methods have been described, few are readily implemented in a diagnostic setting. We developed a simple and sensitive allelespecific competitive blocker polymerase chain reaction (ACB-PCR) assay to detect the V617F mutation. D...

During a double-blind crossover study of hydrochlorothiazide (HCT) and acebutolol (ACB), 11 patients 45 to 69 years old with essential hypertension underwent studies of forearm blood flow (FBF), arterial resistance (FAR), and venous compliance (FVC) using mercury-in-Silastic plethysmography. Placebo periods of 12 weeks were followed by a variable period of incremental doses of either active dru...

Based on minimizing a piecewise differentiable lp function subject to a single inequality constraint, this paper discusses algorithms for a discretized regularization problem for ill-posed inverse problems. We examine computational challenges of solving this regularization problem. Possible minimization algorithms such as the steepest descent method, iteratively weighted least squares (IRLS) me...

In this paper, we propose an approach for learning regression models efficiently in an environment where multiple features and data-points are added incrementally in a multistep process. At each step, any finite number of features maybe added and hence, the setting is not amenable to low rank updates. We show that our approach is not only efficient and optimal for ordinary least squares, weight...

OBJECTIVE While the anticholinergic activity of medications has been linked to cognitive decline, few studies have linked anticholinergic burden with falls in older people. We evaluated the relationship between anticholinergic burden and recurrent and injurious falls among community-dwelling older adults. STUDY DESIGN This case-control study was performed on 428 participants aged ≥65 years, 2...

[1] A new scheme is proposed for the inversion of surface waves using a continuous formulation of the inverse problem and the least squares criterion. Like some earlier schemes a Gaussian a priori covariance function controls the horizontal degree of smoothing in the inverted model, which minimizes some artifacts observed with spherical harmonic parameterizations. Unlike earlier schemes the new...