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Handgrip strength improves prediction of type 2 diabetes: a prospective cohor...
We aimed to determine whether handgrip strength (HGS)improves type 2 diabetes (T2D) risk prediction beyond conventional risk factors. Handgrip strength was assessed at baseline... -
Association of tenofovir disoproxil fumarate exposure with chronic kidney dis...
Tenofovir disoproxil fumarate (TDF)-based regimens have been associated with impaired kidney function and loss of bone mineral density among patients living with HIV (PLWH). We... -
Association between cotinine-verified smoking status and hypertension in 167,...
Purpose: Previous studies showed inconsistent results concerning the relationship between chronic smoking and blood pressure. Most of the studies involved self-reported smoking... -
Expression of ADR-α1, 2 and ADR-β2 in cumulus cell culture of infertile women...
Alpha and beta-adrenoceptors (ADR-α1, 2, and β2) play a regulatory role in the folliculogenesis and steroidogenesis in the ovarian follicles. This study aimed to measure these... -
Predictive Value of Blood Interleukin-6 Level in Patients with Acute Coronary...
Conflicting results have been reported on the association between blood level of interleukin-6 and adverse outcomes in patients with acute coronary syndrome (ACS). The current... -
dedup_wf_001--8b1b4667db8b86f39d1fe5c80bb219f6
EEJA in Action: “The Development of the Jewish People Over the Last 100 Years” by Yakov Leshchinsky -
Estimation of bias-corrected intraclass correlation coefficient for unbalance...
Intraclass correlation coefficient for data in a clustered study is traditionally estimated from a one-way random-effects model. This model assumes normality for the random... -
Methylation Status of VDR Gene and its Association with Vitamin D Status and ...
Deficiency in circulatory vitamin D level and vitamin D receptor DNA methylation could be associated with weakened innate immune response and increased susceptibility to... -
Allocating outreach resources for disease control in a dynamic population wit...
Infected individuals must be aware of disease symptoms to seek care, so outreach and education programs are critical to disease control. However, public health organizations... -
dedup_wf_001--3a0de2779df5a3d2860801a59d4ead95
Solid tissues collected from patient-driven clinical settings are composed of both normal and cancer cells, which often precede complications in data analysis and epigenetic... -
Bias Correction for Replacement Samples in Longitudinal Research
Missing data are commonly encountered problem in longitudinal research. One way researchers handle missing data is through the use of supplemental samples (i.e., the addition of... -
Inter- and intra-city networks: how networks are shaping China’s film industry
While existing studies have mapped out various networks with some visualization techniques, we move one step forward by examining if city/firm performance is dependent not only... -
Scalable module detection for attributed networks with applications to breast...
The objective of network module detection is to identify groups of nodes within a network structure that are tightly connected. Nodes in a network often have attributes (aka... -
He Has Gone to a Better Place, but She Has Not: Health Status of Hindu Widows...
Using detailed individual and household-level data from the first two rounds of the India Human Development Survey (IHDS) conducted in 2004–05 and 2011–12, this paper estimates... -
dedup_wf_001--803e58247d6a69636979ff103788ad9a
: One third of high- and prohibitive-risk TAVR patients remain severely symptomatic or die 1 year after treatment. There is interest in identifying individuals for whom this... -
Mapping runoff generating areas using AGNPS-VSA model
In humid regions, surface runoff is often generated by saturation-excess runoff mechanisms from relatively small variable source areas (VSAs). However, the majority of the... -
dedup_wf_001--5616457cd6557bbe26d978211488ac58
The sample selection bias problem occurs when the outcome of interest is only observed according to some selection rule, where there is a dependence structure between the... -
Mini-Batch Metropolis–Hastings With Reversible SGLD Proposal
Traditional Markov chain Monte Carlo (MCMC) algorithms are computationally intensive and do not scale well to large data. In particular, the Metropolis–Hastings (MH) algorithm...
