Results 71 to 80 of about 16,890,236 (293)

Predicting the dynamic response of a structure using an artificial neural network

Journal of Low Frequency Noise, Vibration and Active Control, 2022
Machine learning and artificial intelligence has been applied to other facets of structural mechanics and structural dynamics, mainly for structural optimization and structural reliability analysis, but have seen little use in surrogate modeling for ...
Donovan Birky, Joshua Ladd, Ivan Guardiola, Andrew Young   +3 more
doaj   +1 more source

Metamodeling the optimal total revenues of the short-term optimization of a hydropower cascade under uncertainty

Science and Technology for Energy Transition, 2023
This paper deals with the optimization of the short-term production planning of a real cascade of run-of-river hydropower plants. Water inflows and electricity prices are subject to data uncertainty and they are modeled by a finite set of joint scenarios.
Piguet Antoine, Benefice Astrig, Bontron Guillaume, Helbert Céline, Vial Grégory   +4 more
doaj   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

Considerations of Accuracy and Uncertainty with Kriging Surrogate Models in Single-Objective Electromagnetic Design Optimization

, 2007
The high computational cost of evaluating objective functions in electromagnetic optimal design problems necessitates the use of cost-effective techniques.
Hawe, G., Sykulski, J.K.
core   +1 more source

Design method of high-flux lead-bismuth cooled reactor neutron flux maximization based on BP neural network

He jishu
BackgroundThe development of high-throughput reactors is of great significance for supporting the development of nuclear science and technology, improving the efficiency of nuclear energy utilization, meeting the needs of radioactive isotope production ...
WANG Tong, LIU Zijing, ZHAO Pengcheng, XIAO Yingjie   +3 more
doaj   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

Symplectic neural surrogate models for beam dynamics

Journal of Physics: Conference Series
Abstract Development of robust machine-learning (ML) based surrogates for particle accelerators can significantly benefit the modeling, design, optimization, monitoring and control of such accelerators. It is desirable that the surrogate models embed fundamental physical constraints to the interaction and dynamics of the beams, for which
Burby,Joshua, Batygin,Yuri, Beznosov,Oleksii, Kwan,Thomas, Huang,Chengkun, Rakotoarivelo,Hoby, Kim,Anastasiia, Kurennoy,Sergey, Tang,Qi   +8 more
openaire   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Dynamic Surrogate Model-Driven Multi-Objective Shape Optimization for Photovoltaic-Powered Underwater Vehicle

Journal of Marine Science and Engineering
In this study, a multi-objective shape optimization framework was established for photovoltaic-powered underwater vehicles (PUVs) to systematically investigate multidisciplinary coupled design methodologies.
Chenyu Wang, Likun Peng, Jiabao Chen, Wei Pan, Jia Chen, Huarui Wang   +5 more
doaj   +1 more source

Liver organoids: modelling complexity in homeostasis and disease

FEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source