Results 41 to 50 of about 751,349 (293)

Model updating using uncertain experimental modal data [PDF]

open access: yes, 2011
The propagation of parameter uncertainty in structural dynamics has become a feasible method to determine the probabilistic description of the vibration response of industrial scale nite element models.
Govers, Yves, Link, Michael
core  

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis   +9 more
wiley   +1 more source

Experimental Tests and Numerical Analyses for the Dynamic Characterization of a Steel and Wooden Cable-Stayed Footbridge

open access: yesInfrastructures, 2023
Vibrations are an issue of increasing importance in current footbridge design practice. More sophisticated footbridges with increasing spans and more effective construction materials result in lightweight structures and a high ratio of live load to dead ...
Vanni Nicoletti   +4 more
doaj   +1 more source

An Information-Theoretic Foundation for the Weighted Updating Model

open access: yes, 2016
Weighted Updating generalizes Bayesian updating, allowing for biased beliefs by weighting the likelihood function and prior distribution with positive real exponents.
Zinn, Jesse Aaron
core   +1 more source

Personalizing the Pediatric Hematology/Oncology Fellowship: Adapting Training for the Next Generation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT The pediatric hematology‐oncology fellowship training curriculum has not substantially changed since its inception. The first year of training is clinically focused, and the second and third years are devoted to scholarship. However, this current structure leaves many fellows less competitive in the current job market, resulting in ...
Scott C. Borinstein   +3 more
wiley   +1 more source

Field-Test-Driven Sensitivity Analysis and Model Updating of Aging Railroad Bridge Structures Using Genetic Algorithm Optimization Approach

open access: yesInfrastructures
Aging railroad bridges present complex challenges due to advancing deterioration and outdated design assumptions. This study develops a comprehensive analytical approach for assessing an aging steel truss railroad bridge through finite element (FE ...
Rahul Anand   +3 more
doaj   +1 more source

Finite Element Model Updating Using Resonance–Antiresonant Frequencies with Radial Basis Function Neural Network

open access: yesApplied Sciences, 2023
The modal frequencies, model shapes or their derivatives are generally used as the characteristic quantities of the objective function for the finite element model (FEM) updating.
Haifeng Zhao   +4 more
doaj   +1 more source

Update on desiccant wheel model

open access: yesInternational Journal of Energy Research, 2004
This short communication presents the update on the desiccant wheel models, developed earlier by the present authors. It is to be mentioned here that the psycrometric model presented earlier (Int. J. Energy Res., 2003; 27:17) is valid only for the desiccant wheel running with identical volume air-flows in supply and regeneration sides.
FRANZITTA, Vincenzo   +3 more
openaire   +4 more sources

Prognostic Impact of Treatment Modalities, Including Targeted Compartmental Radio‐Immunotherapy, in a Cohort of Neuroblastoma Patients With CNS Metastases at Relapse

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez   +13 more
wiley   +1 more source

Structural Damage Detection Using Adversarially Calibrated Simulations and Deep Learning from Frequency-Domain Signals

open access: yesApplied Sciences
Structural Damage Detection is an area that is becoming increasingly important as structure age and become more prone to failure. Early identification of these changes can lead to significant cost savings and potential damage reduction. Conventional data-
César Peláez-Rodriguez   +4 more
doaj   +1 more source

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