Difference-Cum-Exponential-type estimators for estimation of finite population mean in survey sampling.

Extensive research work has been done for the estimation of population mean using bivariate auxiliary information based on conventional measures. Conventional measures of the auxiliary variables provide suspicious results in the presence of outliers/extreme values. However, non-conventional measures of the auxiliary variables include quartile deviation, mid-range, inter-quartile range, quartile average, tri-mean, Hodge-Lehmann estimator etc.

Safety of pre-operative venogram for hemodialysis access planning in pre-end-stage kidney disease patients.

Background: Although conventional pre-operative venography can accurately delineate venous anatomy as an alternative to ultrasound for hemodialysis access planning, it may carry a risk of contrast-induced acute kidney injury (AKI) and progression of renal failure in chronic kidney disease (CKD) patients not yet on dialysis. Therefore, the objective of this study was to evaluate the safety and efficacy of pre-operative venograms in pre-end-stage kidney disease (ESKD) patients.

Methods: We performed a retrospective cohort study (2018-2022) of consecutive pre-ESKD patients who underwent staged bilateral venograms for preoperative vein mapping prior to hemodialysis access creation at a tertiary care medical center.

BiFusionPathoNet: fusion network for drug-resistant bacteria identification optical scattering patterns.

The presented research introduces a new method to identify drug-resistant bacteria rapidly with high accuracy using artificial intelligence combined with Multi-angle Dynamic Light Scattering (MDLS) signals and Raman scattering signals. The main research focus is to distinguish methicillin-resistant (MRSA) and methicillin-sensitive (MSSA). First, a microfluidic platform was developed embedded with optical fibers to acquire the MDLS signals of bacteria and Raman scattering signals obtained by using a Raman spectrometer.