Results 141 to 150 of about 23,606 (263)

Influence of Head‐to‐Tail Cyclization of Lanmodulin‐Inspired Peptides on Lanthanide Affinity and Structure

Chemistry – A European Journal, EarlyView.
The influence of head‐to‐tail cyclization, as well as the effect of ring expansion with an additional glycine on lanmodulin‐inspired peptides on the structure and lanthanide (Ln)‐binding behavior was investigated. While the decrease of structural flexibility can indeed increase the Ln affinity and peptide pre‐organization, it does not lead to an ...
Sophie M. Gutenthaler‐Tietze, Jerome Kretzschmar, Satoru Tsushima, Patrick Weis, Robin Steudtner, Björn Drobot, Lena J. Daumann   +6 more
wiley   +1 more source

Generation of 3D reference dosimetric datasets towards adoption of model-based dose calculations for permanent implant prostate brachytherapy. [PDF]

Med Phys
Akbari F, Peppa V, Ouellet S, Moghadam N, Oliver S, Gimenez-Alventosa V, Beaulieu L, Vijande J, Thomson RM.   +8 more
europepmc   +1 more source

Asymptotic properties of cross‐classified sampling designs

Canadian Journal of Statistics, EarlyView.
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley   +1 more source

Protocol for quantifying and modeling light scattering in coral microskeletons. [PDF]

STAR Protoc
Kramer N, Jacques SL, Wangpraseurt D.
europepmc   +1 more source

Partial identification with categorical data and nonignorable missing outcomes

Canadian Journal of Statistics, EarlyView.
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley   +1 more source

A Comparison Between GATE and MCNPX Monte Carlo Codes in Simulation of Medical Linear Accelerator.

J Med Signals Sens, 2014
Sadoughi HR, Nasseri S, Momennezhad M, Sadeghi HR, Bahreyni-Toosi MH.   +4 more
europepmc   +1 more source

Bayesian inverse ensemble forecasting for COVID‐19

Canadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

Design and validation of a deep learning GAN for predicting ¹ ⁷ ⁷Lu dose voxel kernels using GATE/GEANT4 Monte Carlo and IDAC-Dose 2.1 in phantom dosimetry. [PDF]

J Appl Clin Med Phys
Kapis OE, Kaniu MI, Giuseppe I, Angeyo HK.   +3 more
europepmc   +1 more source

Modified F‐tests for assessing tree radial growth under linear‐circular regression models with correlated errors: A comprehensive toolbox rooted in G. E. P. Box's theorems

Canadian Journal of Statistics, EarlyView.
Abstract Annual tree growth is a complex biological process. Modelling radial growth in the trunk by linear‐circular regression with one mode and correlated errors has allowed the definition and assessment of a preferred direction for 1 and 2 years. Here, modified F$$ F $$‐tests are presented for 3 years, 1 mode/year; 1 year, 2 modes for possible main ...
Pierre Dutilleul, Tomoaki Imoto, Kunio Shimizu   +2 more
wiley   +1 more source

Benchmarking Radiation Transport Monte Carlo Simulations with MCNP and Geant4 Using High Performance Computing. [PDF]

Health Phys
Moats K, Desrosiers M, Linton G, Wood R.
europepmc   +1 more source