Results 181 to 190 of about 3,176,253 (309)

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

open access: yesAdvanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford   +3 more
wiley   +1 more source

A QUARTERLY ECONOMETRIC SIMULATION MODEL OF THE U.S. LIVESTOCK AND MEAT SECTOR [PDF]

open access: yes
This paper develops a quarterly dynamic simulation model of the U.S. livestock sector which is useful for both policy analysis and technology assessment.
Buhr, Brian L.
core  

DDSurfer: A Weakly‐Supervised Dual‐Stream Deep Learning Framework for Cortical Surface Reconstruction From Diffusion MRI

open access: yesAdvanced Science, EarlyView.
DDSurfer reconstructs cortical surfaces directly from diffusion MRI without requiring T1‐weighted scans. By fusing complementary microstructural features and learning diffeomorphic deformations, it efficiently generates accurate white matter and pial surfaces, improving geometric fidelity and morphometric reliability across datasets for robust surface ...
Chengjin Li   +10 more
wiley   +1 more source

UNDERSTANDING CONSUMERS' ATTITUDE TOWARD MEAT LABELS AND MEAT CONSUMPTION PATTERN [PDF]

open access: yes
This paper addressed consumers' attitude toward meat labels and the influence of different aspects of meat labels on beef, poultry and seafood consumption using a national survey data.
Rimal, Arbindra, Fletcher, Stanley M.
core  

scTIDE: Deciphering Critical Transitions Through Cell‐Perturbed Manifold Graphs and Optimal Transport Conditional Flow Matching

open access: yesAdvanced Science, EarlyView.
scTIDE identifies single‐cell tipping points by combining manifold‐based graph representations with optimal‐transport conditional flow matching, which preserves intrinsic topology and models distributional dynamics. It supports critical‐transition detection at individual‐cell resolution, prediction of unseen cells, and dimensionality reduction and ...
Jiayuan Zhong   +6 more
wiley   +1 more source

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park   +3 more
wiley   +1 more source

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