Results 91 to 100 of about 29,867,150 (377)

A Parallel Iterative Method for Computing Molecular Absorption Spectra

open access: yes, 2010
We describe a fast parallel iterative method for computing molecular absorption spectra within TDDFT linear response and using the LCAO method. We use a local basis of "dominant products" to parametrize the space of orbital products that occur in the ...
Coulaud, Olivier   +2 more
core   +3 more sources

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

open access: yesFEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini   +2 more
wiley   +1 more source

An Iterative, Dynamically Stabilized(IDS) Method of Data Unfolding

open access: yes, 2011
We describe an iterative unfolding method for experimental data, making use of a regularization function. The use of this function allows one to build an improved normalization procedure for Monte Carlo spectra, unbiased by the presence of possible new ...
Malaescu, Bogdan
core   +1 more source

Durable B‐Cell Impairment While Sparing IgA B Cells After Ocrelizumab Therapy in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Ocrelizumab (OCR), a humanized anti‐CD20 monoclonal antibody, is highly efficient in relapsing–remitting multiple sclerosis (RR‐MS). We assessed early cellular B‐cell profiles in patients prior to OCR treatment, on OCR treatment, and after 15 months of therapy discontinuation.
Alexandra Garcia   +20 more
wiley   +1 more source

A generalized ADI iterative method

open access: yesNumerische Mathematik, 1993
The ADI iterative method for the solution of Sylvester's equation \(AX - XB = C\) proceeds by strictly alternating between the solution of the two equations \((A - \delta_{k+1} I)X_{2k+1} = X_{2k}(B - \delta_{k + 1} I)+ C\) and \(X_{2k + 2}(B - \tau_{k + 1} I) = (A - \tau_{k + 1} I) X_{2k+1} - C\), for \(k = 0,1,2,\dots\).
Reichel, L., Levenberg, N.
openaire   +4 more sources

ICU‐EEG Pattern Detection by a Convolutional Neural Network

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano   +5 more
wiley   +1 more source

A fourth-order iterative method for computing the moore-penrose inverse [PDF]

open access: yesJournal of Hyperstructures, 2017
In this study, a new fourth-order method to compute the Moore-Penrose inverse is proposed. Convergence analysis along with the error estimates of the method is investigated. Every iteration of the method involves four matrix multiplications.
H. Esmaeili, R. Erfanifar, M. Rashidi
doaj   +1 more source

Convergence of the iterative T-matrix method

open access: yesOptics Express, 2020
Among the various methods for computing the T-matrix in electromagnetic and acoustic scattering problems is an iterative approach that has been shown to be particularly suited for particles with small-scale surface roughness. This method is based on an implicit T-matrix equation.
Kahnert, Michael, Rother, Tom
openaire   +5 more sources

Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography

open access: yes, 2012
Iterative image reconstruction algorithms for optoacoustic tomography (OAT), also known as photoacoustic tomography, have the ability to improve image quality over analytic algorithms due to their ability to incorporate accurate models of the imaging ...
Alexander A Oraevsky   +9 more
core   +1 more source

Functional Connectivity Associations With Markers of Disease Progression in GRN Pathogenic Variant Carriers

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autosomal dominant progranulin (GRN) pathogenic variants are a genetic cause of frontotemporal lobar degeneration. Though clinical trials for GRN‐related therapies are underway, there is an unmet need for biomarkers that can predict symptom onset and track disease progression.
Taru M. Flagan   +46 more
wiley   +1 more source

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