Results 31 to 40 of about 109,308 (284)

Estimating program coverage in the treatment of severe acute malnutrition: a comparative analysis of the validity and operational feasibility of two methods

open access: yesPopulation Health Metrics, 2018
Background Many health programs can assess coverage using standardized cluster survey methods, but estimating the coverage of nutrition programs presents a special challenge due to low disease prevalence. Used since 2012, the Semi-Quantitative Evaluation
Sheila Isanaka   +3 more
doaj   +1 more source

Bayesian inverse problems with non-conjugate priors [PDF]

open access: yesElectronic Journal of Statistics, 2013
We investigate the frequentist posterior contraction rate of nonparametric Bayesian procedures in linear inverse problems in both the mildly and severely ill-posed cases. A theorem is proved in a general Hilbert space setting under approximation-theoretic assumptions on the prior. The result is applied to non-conjugate priors, notably sieve and wavelet
openaire   +4 more sources

Variational Bayesian Sparse Signal Recovery With LSM Prior

open access: yesIEEE Access, 2017
This paper presents a new sparse signal recovery algorithm using variational Bayesian inference based on the Laplace approximation. The sparse signal is modeled as the Laplacian scale mixture (LSM) prior.
Shuanghui Zhang   +3 more
doaj   +1 more source

Accessible precisions for estimating two conjugate parameters using Gaussian probes

open access: yesPhysical Review Research, 2020
We analyze the precision limits for a simultaneous estimation of a pair of conjugate parameters in a displacement channel using Gaussian probes. Having a set of squeezed states as an initial resource, we compute the Holevo Cramér-Rao bound to investigate
Syed M. Assad   +7 more
doaj   +1 more source

Commercially Supplied Amine-Modified siRNAs May Require Ultrafiltration prior to Conjugation with Amine-Reactive Compounds

open access: yesJournal of Nucleic Acids, 2011
Conjugation of siRNA to macromolecules such as serum albumin has multiple potential benefits, including enhanced extravasation via albumin-mediated transcytosis across endothelial cells and reduced renal clearance.
Shannen Lau   +4 more
doaj   +1 more source

13-valent Pneumococcal Conjugate Vaccine and Haemophilus Influenzae-Tetanus Toxoid Conjugate Vaccine in Patient with Systemic Juvenile Idiopathic Arthritis Receiving Tocilizumab: Clinical Case

open access: yesВопросы современной педиатрии, 2019
Background. Vaccination coverage in patients with rheumatic diseases remains extremely low. Moreover, infections are the leading cause of death in such patients.
Ekaterina I. Alekseeva   +11 more
doaj   +1 more source

Evidence of Extended Thermo-Stability of Typhoid Polysaccharide Conjugate Vaccines

open access: yesMicroorganisms, 2021
Typhoid conjugate vaccines (TCV) are effective in preventing enteric fever caused by Salmonella enterica serovar Typhi in Southeast Asia and Africa. To facilitate vaccination with the Vi capsular polysaccharide–tetanus toxoid conjugate vaccine, Typbar ...
Fang Gao   +9 more
doaj   +1 more source

Trastuzumab deruxtecan: A quantum leap in HER2-positive breast cancer

open access: yesIndian Journal of Medical and Paediatric Oncology, 2019
Docetaxel, trastuzumab, and pertuzumab, known as THP, is the preferred first-line treatment for HER2-positive advanced breast cancer, and the second-line drug of choice is trastuzumab emtansine.
Manikandan Dhanushkodi
doaj   +1 more source

Bayesian Estimation of the Exponential Parameter under a Multiply Type-II Censoring Scheme

open access: yesAustrian Journal of Statistics, 2016
This paper provides the estimation of the scale parameter of the exponential distribution under multiply type-II censoring. Using generalized non-informative prior and natural conjugate prior, Bayes estimator and approximate Bayes estimators of the scale
Umesh Singh, Anil Kumar
doaj   +1 more source

An Efficient Gaussian Filter Based on Gaussian Symmetric Markov Random Field

open access: yesIEEE Access, 2022
This article presents a new image denoising algorithm that uses Gaussian Symmetric Markov random fields based on maximum a posteriori estimation. First, an image denoising model based on Gaussian Symmetric Markov random fields is built, and the image ...
Fusong Xiong   +3 more
doaj   +1 more source

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