Results 41 to 50 of about 456,731 (293)
Making global sensitivity analysis feasible using neural network surrogates
How can we make global sensitivity analysis accessible and viable for engineering practice? In this translation article, we present a methodology to enable sensitivity analysis for structural and geotechnical engineering for built environment design and ...
Gihan Weerasinghe +2 more
doaj +1 more source
MYCN Amplification in RB1‐Inactivated Retinoblastoma: Association With High‐Risk Features
ABSTRACT Background MYCN amplification occurs in a subset of retinoblastoma cases, both with and without RB1 inactivation. It has been suggested that retinoblastomas with MYCN amplification represent a distinct entity with more aggressive clinical behavior.
Kyriaki Papaioannou +9 more
wiley +1 more source
Model-Based Sequential Design of Experiments with Machine Learning for Aerospace Systems
Traditional experimental design methods often face challenges in handling complex aerospace systems due to the high dimensionality and nonlinear behavior of such systems, resulting in nonoptimal experimental designs.
Tim Gerling +3 more
doaj +1 more source
Kernel Methods for Surrogate Modeling
This chapter deals with kernel methods as a special class of techniques for surrogate modeling. Kernel methods have proven to be efficient in machine learning, pattern recognition and signal analysis due to their flexibility, excellent experimental performance and elegant functional analytic background.
Santin G., Haasdonk B.
openaire +2 more sources
Mapping the evolution of mitochondrial complex I through structural variation
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
The use of decision-making models in the early stages of the development of complex products and technologies is a well-established practice in industry.
Alessandro Bertoni +3 more
doaj +1 more source
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
MATSuMoTo: The MATLAB Surrogate Model Toolbox For Computationally Expensive Black-Box Global Optimization Problems [PDF]
MATSuMoTo is the MATLAB Surrogate Model Toolbox for computationally expensive, black-box, global optimization problems that may have continuous, mixed-integer, or pure integer variables.
Mueller, Juliane
core
Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10
Loss of the E3 ligase LTN1, the ubiquitin‐like modifier UFM1, or the deubiquitinating enzyme UFSP2 disrupts endoplasmic reticulum–ribosome quality control (ER‐RQC), a pathway that removes stalled ribosomes and faulty proteins. This disruption may trigger a compensatory response to ER‐RQC defects, including increased expression of the E3 ligase RNF10 ...
Yuxi Huang +8 more
wiley +1 more source
Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models
Simulation-based optimization models are widely applied to find optimal operating conditions of processes. Often, computational challenges arise from model complexity, making the generation of reliable design solutions difficult.
Julia Granacher +3 more
doaj +1 more source

