Results 131 to 140 of about 876,280 (281)

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

Advanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

CXCL10/SLC11A1 Axis Exacerbates Septic Liver Injury by Regulating Neutrophil Extracellular Traps Formation to Drive Macrophage Pro‑Inflammatory Polarization

Advanced Science, EarlyView.
In sepsis‐induced liver injury, marked neutrophil infiltration correlates with disease severity. Neutrophil SLC11A1 drives intracellular Fe2+ and ROS via the Fenton reaction, promoting NETs formation. Hepatocyte‐derived CXCL10 recruits neutrophils and activates the JAK/STAT1/SLC11A1 axis, enhancing NETs‐mediated inflammation.
Haiping Lin, Shicong Zheng, Pei Song, Jie Chang, Zewei Chen, Cang Li, Min Yu, Lude Wang, Shian Yu   +8 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

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, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Dispersal kernels regulate environmental, biotic, and stochastic effects on the maintenance of metacommunity diversity. [PDF]

Ecology
Wisnoski NI, Szojka MC, Germain RM, Fukami T, Shoemaker LG.   +4 more
europepmc   +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

Multi-Model Approaches Reveal Cascading Regulation and Ecological Responses of Zooplankton to Seasonal and Water Quality Variations in Urbanized Rivers. [PDF]

Biology (Basel)
Wu J, Huang M, Yang X, Zhang B, Liu S, Jian L, Xu F.   +6 more
europepmc   +1 more source

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

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, Bowen Niu, Yongbo Yu, Shiyang Nie, Xuerong Gu, Pei Chen, Rui Liu   +6 more
wiley   +1 more source

XGBoost-Assisted Effluent Ammonium Buffer-First Aeration Scheduling for Wastewater Treatment Under Influent Disturbances: A BSM2 Study. [PDF]

Water Environ Res
Ren H, Cao J, Zhao W, Jin J, Chen B, Wu X.   +5 more
europepmc   +1 more source

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

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, Yeongje Lee, Sunho Jeong, Eungkyu Lee   +3 more
wiley   +1 more source