Results 101 to 110 of about 150,864 (269)

Bayesian‐Belief Direct Policy Search for Adaptive Water Supply Planning With Endogenous Learning

open access: yesWater Resources Research
Climate change uncertainty challenges water supply planning, where long‐lived infrastructure must ensure reliable supply under evolving conditions.
Mofan Zhang   +4 more
doaj   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

open access: yesAdvanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu   +16 more
wiley   +1 more source

Buried Unstrained Germanium Channels: A Lattice‐Matched Platform for Quantum Technology

open access: yesAdvanced Science, EarlyView.
ABSTRACT Strained germanium (ε$\varepsilon$‐Ge) and strained silicon (ε$\varepsilon$‐Si) buried quantum wells have enabled advanced spin‐qubit quantum processors. However, in the absence of suitable lattice‐matched substrates, ε$\varepsilon$‐Ge and ε$\varepsilon$‐Si are deposited on defective, metamorphic SiGe buffers, which may impact device ...
Davide Costa   +10 more
wiley   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

open access: yesAdvanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai   +3 more
wiley   +1 more source

One Who Hesitates Is Lost: Monetary Policy Under Model Uncertainty and Model Misspecification

open access: yesEconomies
This paper investigates how different parametrisations of the monetary policy reaction function and different mechanisms of expectation formation shape the macroeconomic outcomes in the estimated Smets–Wouters type of DSGE model.
Viktors Ajevskis
doaj   +1 more source

Hydrothermal Humification of Biomass for Circular Carbon Management in Sustainable Agro‐Ecosystems

open access: yesAdvanced Science, EarlyView.
This article provides a comprehensive overview of biomass hydrothermal humification for building sustainable agro‐ecosystems. It examines the chemical transformation mechanisms and the functional benefits of the produced humic acids in soil remediation.
Ziyun Liu   +4 more
wiley   +1 more source

Navigating uncertainty: the ripple effect of US economic policy on Chinese enterprise innovation

open access: yesCogent Economics & Finance
This study explores the potential impact of US Economic Policy Uncertainty on the innovation activities of Chinese firms from 2010 to 2022. Based on the pooled data from the Shanghai and Shenzhen stock exchanges, a Generalized Method of Moments (GMM ...
Gang Chen   +3 more
doaj   +1 more source

From Label‐Free Multiphoton Imaging to Pathological Reports: A Vision‐Language Breast Cancer Margin Pathological Diagnosis System

open access: yesAdvanced Science, EarlyView.
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang   +15 more
wiley   +1 more source

Designing for complexity and uncertainty – policy instruments for complex environmental issues

open access: yesPolicy Design and Practice
This paper explores the difficulties of designing effective policies to address complex environmental policy challenges under conditions of uncertainty.
Brian W. Head
doaj   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

open access: yesAdvanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy