Results 81 to 90 of about 22,742,041 (354)

Multi-Frequency Aeroelastic ROM for Transonic Compressors

open access: yesAerospace
The accurate prediction of the aeroelastic behavior of turbomachinery for aircraft propulsion poses a difficult yet fundamental challenge, since modern aircraft engines tend to adopt increasingly slender blades to achieve a higher aerodynamic efficiency,
Marco Casoni   +2 more
doaj   +1 more source

Non-intrusive reduced order modeling of nonlinear problems using neural networks

open access: yesJournal of Computational Physics, 2018
We develop a non-intrusive reduced basis (RB) method for parametrized steady-state partial differential equations (PDEs). The method extracts a reduced basis from a collection of high-fidelity solutions via a proper orthogonal decomposition (POD) and ...
J. Hesthaven, Stefano Ubbiali
semanticscholar   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine   +17 more
wiley   +1 more source

A reduced basis element method for the steady Stokes problem: Application to hierarchical flow systems [PDF]

open access: yesModeling, Identification and Control, 2006
The reduced basis element method is a new approach for approximating the solution of problems described by partial differential equations. The method takes its roots in domain decomposition methods and reduced basis discretizations (Fink & Rheinboldt
Alf E. Løvgren   +2 more
doaj   +1 more source

Ligand-Stabilized Reduced-Dimensionality Perovskites.

open access: yesJournal of the American Chemical Society, 2016
Metal halide perovskites have rapidly advanced thin-film photovoltaic performance; as a result, the materials' observed instabilities urgently require a solution.
L. Quan   +11 more
semanticscholar   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani   +7 more
wiley   +1 more source

Capacity and Error Performance of Reduced-Rank Transmitter Multiuser Preprocessing Based on Minimum Power Distortionless Response [PDF]

open access: yes, 2008
In this contribution we first derive a transmitter multiuser preprocessing (TMP) scheme for a general multiuser multiple-input-multiple-output (MIMO) system based on the minimum power distortionless response (MPDR) criterion, which minimizes the power in
Yang, Lie-Liang, Lie-Liang Yang
core   +2 more sources

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben   +4 more
wiley   +1 more source

Reduced-Symmetry Deep-Cavity Cavitands

open access: yes, 2016
The syntheses of reduced-symmetry deep-cavity cavitands by two-stage stereoselective bridging with substituted benzal bromides is reported. Conditions for the optimal formation of the trisbridged derivatives were readily established.
Jodie O. Green (3063141)   +2 more
core   +1 more source

Reduced-Reference Learning for Target Localization in Deep Brain Stimulation

open access: yes, 2022
This work proposes a supervised machine learning algorithm for target localization in deep brain stimulation (DBS). DBS is a recognized treatment for movement disorders, such as essential tremor.
Zhoule Zhu (12532180)   +3 more
core   +1 more source

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