Results 81 to 90 of about 22,195,649 (288)

Assessment of Surrogate Models for Research on Resistance and Deformation of Repairs of the Human Meniscal Roots: Porcine or Older Human Models?

open access: yesApplied Sciences
Meniscal root repair is not routinely recommended for patients over 75 years old, yet surrogate age-unrestricted human or porcine models are used for its evaluation.
Alejandro Peña-Trabalon   +4 more
doaj   +1 more source

Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing

open access: yes, 2017
Computation of document image quality metrics often depends upon the availability of a ground truth image corresponding to the document. This limits the applicability of quality metrics in applications such as hyperparameter optimization of image ...
Hast, Anders   +2 more
core   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

open access: yesFEBS Letters, EarlyView.
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

Uncertainty quantification of surrogate models using conformal prediction

open access: yesMachine Learning: Science and Technology
Data-driven surrogate models offer fast, inexpensive approximations to complex numerical and experimental systems but typically lack uncertainty quantification, limiting their reliability in safety-critical applications.
Vignesh Gopakumar   +7 more
doaj   +1 more source

Multi-Objective Optimization of Building Energy Consumption: A Case Study of Temporary Buildings on Construction Sites

open access: yesBuildings
Building energy consumption management significantly impacts energy efficiency, environmental effects, and economic benefits throughout a building’s life cycle.
Xiaohui Guo   +9 more
doaj   +1 more source

NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation

open access: yes, 2019
Complex computational models are often designed to simulate real-world physical phenomena in many scientific disciplines. However, these simulation models tend to be computationally very expensive and involve a large number of simulation input parameters
Chou, Ching-Shan   +4 more
core   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

open access: yesFEBS Letters, EarlyView.
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

mfEGRA: Multifidelity Efficient Global Reliability Analysis through Active Learning for Failure Boundary Location

open access: yes, 2020
This paper develops mfEGRA, a multifidelity active learning method using data-driven adaptively refined surrogates for failure boundary location in reliability analysis.
Chaudhuri, Anirban   +2 more
core   +1 more source

Hematopoietic (stem) cells—The elixir of life?

open access: yesFEBS Letters, EarlyView.
The aging of HSCs (hematopoietic stem cells) and the blood system leads to the decline of other organs. Rejuvenating aged HSCs improves the function of the blood system, slowing the aging of the heart, kidney, brain, and liver, and the occurrence of age‐related diseases.
Emilie L. Cerezo   +4 more
wiley   +1 more source

A Derivative-Free Trust-Region Algorithm for Reliability-Based Optimization

open access: yes, 2016
In this note, we present a derivative-free trust-region (TR) algorithm for reliability based optimization (RBO) problems. The proposed algorithm consists of solving a set of subproblems, in which simple surrogate models of the reliability constraints are
Gao, Tian, Li, Jinglai
core   +1 more source

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