Results 151 to 160 of about 577,372 (303)

Inherently Disordered Auxetic Metamaterials

open access: yesAdvanced Science, EarlyView.
Inherently disordered auxetic metamaterials based on random chiral Delaunay triangulations are designed and investigated using numerical simulations and experimental tests. These disordered frameworks exhibit orthotropic behavior and a large negative Poisson's ratio (ca.
Matteo Montanari   +3 more
wiley   +1 more source

AI‐Assisted Self‐Powered Wearable Dual‐Mode Sensor With TENG and Stretchable Optical Fiber for Neurological Disorder Diagnostics

open access: yesAdvanced Science, EarlyView.
This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li   +12 more
wiley   +1 more source

Unlocking practical wisdom through the inner voice of robots. [PDF]

open access: yesSci Rep
Pipitone A   +3 more
europepmc   +1 more source

Polyelectrolyte Design Principles for Electrophoretic Drug Delivery

open access: yesAdvanced Science, EarlyView.
Structure–property–function mapping of polyelectrolytes reveals how composition and nanoscale order control on‐demand electrophoretic drug transport. Charge density quantified under implant‐relevant conditions shows that encapsulation limits swelling, enabling high effective charge density.
Helena Saarela Unemo   +8 more
wiley   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

open access: yesAdvanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv   +11 more
wiley   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng   +17 more
wiley   +1 more source

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