Results 141 to 150 of about 828,775 (268)

Top‐Down Fabricated Wood‐Derived Pressure and Strain Sensors: A Review

open access: yesAdvanced Science, EarlyView.
This review focuses on wood‐derived pressure/strain sensors fabricated via top‐down strategies. It analyzes wood's structural composition, examines processing techniques, discusses sensor types and sensing mechanisms, and reviews existing research. The article concludes with future directions for enhancing performance and scalability.
Yi Ren   +8 more
wiley   +1 more source

Dynamics of the Mammalian Placental Metabolome in Placentogenesis and Embryonic Development

open access: yesAdvanced Science, EarlyView.
This study identifies three metabolic stages (E8.5, E9.5–10.5, E11.5–14.5) and two transition periods (E8.5–9.5, E10.5–11.5) in mouse placental development. NAD(H) emerges as a key dynamic metabolite that enhances embryonic growth through accelerated segmentation and increased proliferation of mouse embryonic stem cell (mESC)‐induced presomitic ...
Gang Chen   +11 more
wiley   +1 more source

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

open access: yesAdvanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na   +10 more
wiley   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

open access: yesAdvanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi   +5 more
wiley   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

open access: yesAdvanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen   +7 more
wiley   +1 more source

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