Results 101 to 110 of about 4,017,247 (291)
A biomimetic GOx/Arg‐loaded nanoplatform produces nitric oxide through an in situ catalytic cascade reaction, enabling dual‐target metabolic regulation in diabetes‐associated biofilm infections. Bacterial metabolism is disrupted, and macrophage immunometabolism is reprogrammed, resulting in biofilm eradication, immune restoration, and enhanced ...
Mingzhang Li +13 more
wiley +1 more source
Fuzzy and tile coding approximation techniques for coevolution in reinforcement learning [PDF]
PhDThis thesis investigates reinforcement learning algorithms suitable for learning in large state space problems and coevolution. In order to learn in large state spaces, the state space must be collapsed to a computationally feasible size and then ...
Tokarchuk, Laurissa Nadia
core +2 more sources
Hybrid linear programming to estimate CAP impacts of flatter rates and environmental top-ups [PDF]
This paper examines evolutions of the Common Agricultural Policy (CAP) decoupling regime and their impacts on Greek arable agriculture. Policy analysis is performed by using mathematical programming tools.
Stelios Rozakis
core
Adaptive Cu Reconstruction in Heterostructure Drives High‐Rate Nitrate‐to‐Ammonia Conversion
An adaptively reconstructed Cu/CoOX heterojunction, featuring a surface‐localized, hydroxyl‐rich oxidized Cu species, forms in situ from a CuO/CoOX (Co1Cu9OX) pre‐catalyst during electrochemical nitrate reduction. The self‐adaptive reconstruction and the incorporation of heterostructure regulate nitrogen‐containing intermediate adsorption and *H supply,
Chunyu Yuan +5 more
wiley +1 more source
Chapter 5 Linear Logic Programming
s depending on the characteristics of the language. A program in this setting is simply a collection of propositions that, through their form, will lead the proof search engine down a particular path, thereby achieving a particular computation.
Linear Logic Programming
core
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
FUZZY LINEAR PROGRAMMING : A MODERN TOOL FOR DECISION MAKING
The modem trend in industrial application problem deserves modeling of all relevant vaque or fuzzy information involved in a real decision making problem.
Pandian, Pandian +2 more
core
Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning
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
Comparative Evaluation of the Performance of Spans of Control Designs in Grain Supply Chains [PDF]
A fuzzy multi-objective linear programming model is used to analyze the performances of three spans of control designs that are observed in the U.S grain industry. Performance of the grain supply chain increases with amount of control and compromise.Crop
Mazzocco, Michael A. +1 more
core
Single‐cell mechanomics demonstrates that pharmacological perturbation changes cytoskeletal and cortical structure, suppressing cancer cell invasiveness. By integrating atomic force microscopy (AFM)‐based cortical measurements with stimulated emission depletion (STED)‐resolved adhesion and cytoskeletal organization, this approach identifies nanoscale ...
Minhee Ku +4 more
wiley +1 more source

