Results 181 to 190 of about 912,120 (337)
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong +11 more
wiley +1 more source
Couples can be Tractable: New Algorithms and Hardness Results for the Hospitals/Residents Problem with Couples. [PDF]
Csáji G +3 more
europepmc +1 more source
Predicate Encryption Supporting Disjunctions, Polynomial Equations, and Inner Products
Jonathan Katz, A. Sahai, Brent Waters
semanticscholar +1 more source
Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
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
High-Resolution CSRR-Based Microwave Sensor for Soil Moisture Content Monitoring. [PDF]
Alduwish S +4 more
europepmc +1 more source
Polynomial Reconstruction Based Cryptography
A. Kiayias, M. Yung
semanticscholar +1 more source
A Unifying Thermodynamic Model for Phase Separation and Aging of Biopolymers
Phase separation and aging of intrinsically disordered proteins are placed in a unifying framework. A thermodynamically consistent time‐dependent version of associating‐polymer theory shows how the processes are intricately coupled. Assuming aging to occur through interacting sites resulting from reversible conformational transitions, the model ...
Jasper J. Michels +2 more
wiley +1 more source
On Polynomial Cointegration in the State Space Framework [PDF]
This paper deals with polynomial cointegration, i.e. with the phenomenon that linear combinations of a vector valued rational unit root process and lags of the process are of lower integration order than the process itself (for definitions see Section 2).
Martin Wagner, Dietmar Bauer
core
A soft hybrid multi‐wavelength PPG wearable acquires neonatal signals. Synchronized PPG and invasive ABP data are segmented into fixed windows. A 1D‐EfficientNet model predicts segment‐level SBP and DBP. Model performance is examined with retrospective subgroup analysis across acquisition conditions.
Wenqi Shi +12 more
wiley +1 more source

