Results 81 to 90 of about 11,015,118 (220)
Human In Vivo Validation of Frequency‐Dependent QTI
ABSTRACT Purpose The aim of this work is to investigate if q‐space trajectory imaging (QTI) waveforms can be designed to probe QTI metrics at a single centroid frequency under realistic experimental conditions for in vivo human brain imaging. Methods Realistic diffusion encoding waveforms based on double‐rotation gradient waveform and magic‐angle ...
Svenja Niesen +3 more
wiley +1 more source
Abstract BACKGROUND The choice of excipient is important in enhancing stability of liquid formulations containing lipid nanoparticles (LNPs) used in RNA delivery where the ability to survive unplanned excursions to higher and lower temperature and vibration is an important attribute.
Franz W Laurett Veras +2 more
wiley +1 more source
Phase randomisation: a convergence diagnostic test for MCMC [PDF]
Most MCMC users address the convergence problem by applying diagnostic tools to the output produced by running their samplers. Potentially useful diagnostics may be borrowed from diverse areas such as time series.
Rodney C Wolff +2 more
core
Numerical Investigation of the Cumulant Expansion for Fourier Path Integrals
Recent developments associated with the cumulant expansion of the Fourier path integral Monte Carlo method are illustrated numerically using a simple one-dimensional model of a quantum fluid.
Jimmie D. Doll +11 more
core +1 more source
Purpose The dependence of the long‐time (tortuosity) limit of the extra‐cellular diffusivity on the intra‐cellular volume fraction is of fundamental importance for microstructure modeling. While such dependencies have been explored for the white matter, the tortuosity limit in gray matter is unknown due to complex cell composition and geometry. Here we
Hong‐Hsi Lee +6 more
wiley +1 more source
Cumulant methods and short time propagators
The present paper clarifies a number of issues concerning the general problem of constructing improved short time quantum mechanical propagators. Cumulant methods are shown to be a particularly convenient tool for this task. Numerical results comparing methods based on partial averaging and on gradient approaches are presented for simple model problems
Coalson, Rob D. +2 more
openaire +3 more sources
Multiuser Channel Estimation from Higher-Order Statistical Matrix Pencil
This paper presents a new statistical approach to the blind estimation of linear multiple-input multiple-output (MIMO) channels with finite impulse response.
Liang Jing, Ding Zhi
doaj +1 more source
Process Optimization of Solution Blow Spinning for Poly (N‐Isopropylacrylamide) Fibers
Solution blow spinning has emerged as a safe and scalable technique for fabricating thermoresponsive PNIPAM fibers. The influence of key parameters on jet stability and fiber uniformity is determined through both rheological analysis and statistical process optimization. A Box–Behnken design reveals an optimized window for producing PNIPAM fibers below
Maryam Parastar +2 more
wiley +1 more source
Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford +3 more
wiley +1 more source
CUMULANT APPROACH FOR MODULATION RECOGNITION [PDF]
In this paper, cumulant approach is used in MQAM modulated signal recognition. This method uses the characteristics of higher-order cumulants and higher-order statistics to identify different kinds of MQAM signals.
TANG BIN +1 more
core +1 more source

