Results 61 to 70 of about 2,763,762 (257)

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Aero-structural characterization of wing planforms using machine learning

Advances in Aerodynamics
This study introduces a machine learning (ML) framework for efficient aero-structural characterization of wing planform shapes, addressing the computational challenges posed by traditional CFD and FEA methods.
Mehedi Hasan, Zhongmin Deng, Azad Khandoker   +2 more
doaj   +1 more source

Microwave device modeling exploiting generalized space mapping [PDF]

, 2000
We present a comprehensive framework to engineering device modeling which we call Generalized Space Mapping (GSM). GSM significantly enhances the accuracy of available empirical models of microwave devices by utilizing a few relevant full-wave EM ...
Bandler, John W., Ismail, Mostafa A., Rayas-Sánchez, José E.   +2 more
core  

Data-driven decision-focused surrogate modeling

, 2023
We introduce the concept of decision-focused surrogate modeling for solving computationally challenging nonlinear optimization problems in real-time settings. The proposed data-driven framework seeks to learn a simpler, e.g.
Zhang, Qi, Gupta, Rishabh
core  

Supplementary Information for: Quantifying Subsurface Parameter and Transport Uncertainties Using Surrogate Modeling and Environmental Tracers

, 2021
Supplementary Information tables and figure for manuscript submission to Hydrological Processes, 2021. Manuscript title is: Quantifying Subsurface Parameter and Transport Uncertainties Using Surrogate Modeling and Environmental ...
Nicholas E. Thiros, Douglas J. Brinkerhoff, W. Payton Garden, Marco P. Maneta   +3 more
core   +1 more source

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

Rapid Design and Fabrication of Body Conformable Surfaces with Kirigami Cutting and Machine Learning

Advanced Science
By integrating the principles of kirigami cutting and data‐driven modeling, this study aims to develop a personalized, rapid, and low‐cost design and fabrication pipeline for creating body‐conformable surfaces around the knee joint.
Jyotshna Bali, Jinyang Li, Jie chen, Suyi Li   +3 more
doaj   +1 more source

A Hybrid-Surrogate-Calibration-Assisted Multi-Fidelity Modeling Approach and Its Application in Strength Prediction for Underwater Gliders

Journal of Marine Science and Engineering
Multi-fidelity surrogate-based methods play an important role in modern engineering design applications, aiming to improve model accuracy while reducing computational cost.
Chengshan Li, Yufan Cao, Xiaoyi An, Da Lyu, Junxiao Liu   +4 more
doaj   +1 more source

Code and data for 'Investigating representation schemes for surrogate modeling of High Entropy Alloys

, 2023
This release contains the code accompanying the revised version of the paper 'Investigating representation schemes for surrogate modeling of High Entropy Alloys'
Arindam Debnath, Wesley F. Reinhart
core   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source