Results 71 to 80 of about 10,247 (201)
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu +8 more
wiley +1 more source
Biomineralization underpins skeletal development, yet its molecular control remains incompletely understood. Using a novel murine knockout model, this study reveals the essential and complementary roles of PHOSPHO1 and TNAP in postnatal skeletal development.
Lucie E. Bourne +15 more
wiley +1 more source
Electric Field‐Induced Hole‐ and Electron‐Type Flat Bands in Twisted Double Bilayer Graphene
The electronic structure of twisted double bilayer graphene is visualized using angle‐resolved photoemission spectroscopy with micrometer spatial resolution at twists of 3.1∘$^\circ$ and 6.0∘$^\circ$ as a function of gate voltage. Tunable hybridization effects and flat band formation occurs between valence and conduction band states due to a finite ...
Zhihao Jiang +13 more
wiley +1 more source
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
A flexible smart glove integrated with textile sensors enables real‐time hand gesture recognition for human–machine interaction. Using edge AI inference and Bluetooth communication, the system translates finger movements into human interface device commands to control endpoint devices efficiently.
Chi Cuong Vu +2 more
wiley +1 more source
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
Power Production of Limiting Nutrients in Microbial Fuel Cells
Engineering Science at Stony Brook UniversityThis summer I worked with a wonderful group of people in efforts to clear the horrible smell that came with Lake Menomin.
Swaby, Zayyan
core
Patient‐Derived Fibroblasts as a Clinically Relevant Model of Kearns–Sayre Syndrome
Objective Kearns–Sayre syndrome (KSS) is characterized by single large‐scale mitochondrial DNA deletions and by severe early‐onset clinical manifestations with neurological involvement. Reliable disease models, as well as validated biomarkers or effective treatments, are lacking.
Laura Valls‐Roca +24 more
wiley +1 more source
Modified Titanium Dental Implants: The Current Progress of Soft‐Tissue Integration Methods
Dental implants are an established solution for tooth loss, yet achieving soft tissue integration (STI) around the transmucosal region remains a challenge. The natural tooth–gingiva interface is poorly replicated on titanium implants. This review explores surface modification strategies, ranging from surface chemistry and topography to biological ...
Daniel De Maria +5 more
wiley +1 more source

