Results 141 to 150 of about 6,993,713 (204)

Robotics in Ionizing Radiation Environments: Vulnerabilities, Hardening, and Future Directions

open access: yesAdvanced Robotics Research, EarlyView.
Radiation exposure causes cumulative degradation in robotic sensors, actuators, and electronic logic, often leading to undetected failures. This study maps component vulnerabilities, evaluates hardening and shielding strategies, and identifies testing gaps that must be addressed to enable next‐generation radiation‐tolerant robotic systems.
Francis A. K. Djirackor   +4 more
wiley   +1 more source

EMPNet:An extract-map-predict neural network architecture for cross-domain recommendation

open access: yes
Cross-domain recommendation leverages a user’s historical interactions in the auxiliary domain to suggest items within the target domain, particularly for cold-start users with no prior activity in the target domain.
Liu, Kuien   +7 more
core   +1 more source

An Anti‐Amyloidogenic Approach to Specifically Block Memory Consolidation in Mice for Therapeutic Intervention

open access: yesAdvanced Science, EarlyView.
Functional amyloid conversion of the translation regulator CPEB3 is essential for long‐term memory persistence. This study demonstrates that targeting this molecular switch with the anti‐amyloidogenic peptide QBP1 selectively blocks CPEB3 fibrillation without disrupting phase separation.
Paula López‐García   +13 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

A transfer reinforcement learning-based approach for cross-domain charging station recommendation in the Internet of vehicles

open access: yes物联网学报
Deep reinforcement learning has been widely applied in charging station recommendations in the internet of vehicles, but training separate neural networks for each region are often required by traditional methods, leading to increased computational load ...
LIN Hai   +4 more
doaj   +2 more sources

Rab1A Promotes Hepatic Steatosis by Suppressing Mitophagy via the Raf‐1/ERK1/2/PINK1 Signaling Axis

open access: yesAdvanced Science, EarlyView.
Why does fat accumulate in the liver? Our study reveals Rab1A as the molecular switch that silences the cell's mitochondrial cleanup crew. Turning Rab1A off reactivates mitophagy, clears excess fat, and reverses fatty liver disease in mice—offering a promising new therapeutic target for MASLD, a growing global health challenge.
Li Zhang   +9 more
wiley   +1 more source

DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation

open access: yes
Cross-Domain Recommendation (CDR) have received widespread attention due to their ability to utilize rich information across domains. However, most existing CDR methods assume an ideal static condition that is not practical in industrial recommendation ...
Liu, Xiang   +7 more
core  

Copper‐Driven Epithelial Barrier Disruption: A Novel Mechanism of COPD Acute Exacerbations Mediated by the TNF‐α/ATP7A Axis

open access: yesAdvanced Science, EarlyView.
This study reveals a copper‐driven mechanism of COPD acute exacerbations mediated by the TNF‐α/ATP7A axis. TNF‐α suppresses the copper transporter ATP7A via competitive NF‐κB/CREB1/CBP signaling, resulting in intracellular copper accumulation, mitochondrial oxidative stress, and epithelial barrier disruption.
Xinru Xiao   +7 more
wiley   +1 more source

Integrating Ecology and Economics in Agent‐Based Models to Support Agricultural Policy

open access: yesAdvanced Science, EarlyView.
Agent‐based models are valuable tools for studying social‐ecological systems in agriculture. This review maps how existing agent‐based models represent the human and natural domains of agriculture, and discusses developments in economic and ecological agent‐based modeling.
Daniel Vedder   +5 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

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