Results 131 to 140 of about 892,161 (297)
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning
Advanced Science, EarlyView.SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley +1 more source
The Forward Exchange Market, Speculation, and Exchange Market Intervention [PDF]
This paper develops a stochastic equilibrium model of an open economy incorporating speculation in the forward exchange market. The model is used to examine two issues.
Jonathan Eaton, Stephen J. Turnovsky
core
Advanced 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
Advanced 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
Advanced Science, EarlyView.Complex microarchitectures emerge from simple flow‐driven transformations as static mixers iteratively reorient and split material domains. Coupled with diverse deposition strategies, chaotic printing provides an accessible platform for fabricating architected materials that support biologically and chemically relevant processes. ABSTRACT Nature builds
Edna Johana Bolívar‐Monsalve +7 more
wiley +1 more source
Advanced Science, EarlyView.An in situ‐grown BP‐CaO2 nanoplatform supplies coordinated Ca2+, endogenous phosphate, and oxidative stress to convert tumor calcification from a passive endpoint into an active immune‐remodeling process. Widespread hydroxyapatite deposition is visualized by CT, while multi‐omics reveals MCOLN2 as a calcium‐responsive mediator linking biomineralization
Long Liu +11 more
wiley +1 more source
Value-Regularized Reinforcement Learning for Model Predictive Control of Autonomous Mobile Robots Under Stochastic Disturbances. [PDF]
Sensors (Basel)Yu C, Zhang W, Li Q, Cheng Y, Li Z.
europepmc +1 more source
The Distribution of Stochastic Shrinkage Parameters in Ridge Regression [PDF]
In this article we derive the density and distribution functions of the stochastic shrinkage parameters of three well-known operational Ridge Regression estimators by assuming normality. The stochastic behavior of these parameters is likely to affect the
Luis Firinguetti, Hernán Rubio
core
Advanced Science, EarlyView.A bio‐inspired side‐chain branching strategy is developed to orchestrate a dual noncovalent conformational locking (NoCL) network, enabling the construction of perfectly planar NIR‐II phototheranostic aggregates. Such structural precision maximizes light‐harvesting efficiency and optimizes exciton dynamics, ensuring synchronized enhancements in NIR‐II ...
Cheng Lu +11 more
wiley +1 more source