Results 151 to 160 of about 577,372 (303)
Inherently Disordered Auxetic Metamaterials
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
Challenges Facing the Appeal to Practical Wisdom in Medicine and Beyond. [PDF]
Miller CB.
europepmc +1 more source
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]
Pipitone A +3 more
europepmc +1 more source
Polyelectrolyte Design Principles for Electrophoretic Drug Delivery
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
Tragic Flaws and Practical Wisdom: Public reasoning behind preferences for different genetic technologies. [PDF]
Dixson HGW +4 more
europepmc +1 more source
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
Was Aristotle right about moral decision-making? Building a new empirical model of practical wisdom. [PDF]
McLoughlin S, Thoma S, Kristjánsson K.
europepmc +1 more source
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

