Results 31 to 40 of about 52,163 (250)
Collagen II coatings support the formation of synovial fluid nanofilms, while collagen I coatings do not. Both bind recombinant equine lubricin similarly. These findings may help explain articular cartilage surface joint dysfunction, inform biomaterial design for synovial joint repair, and expand on lubricin‐based osteoarthritis therapies.
Diego R. Jaramillo Pinto +12 more
wiley +1 more source
Deep learning-based seed variety classification: a case study in maize
Distinguishing among maize seed varieties is often challenging because of their morphological similarity and genetic diversity. Traditional seed identification methods frequently fail to balance accuracy, speed, and practicality, creating the need for ...
Omidali Akbarpour +3 more
doaj +1 more source
Mitochondria‐targeted nanotherapies emerge as a promising strategy for combating aging‐associated neurodegenerative disorders (NDs) by restoring mitochondrial function, reducing oxidative stress, and improving neuronal survival. Recent advances in nanotechnology, therapeutic delivery, and translational research are highlighted, providing insights into ...
Dnyandev G. Gadhave +8 more
wiley +1 more source
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Association Between 3-Word Recall on the Mini-Cog and Postoperative Delirium
Study objective: Screening for cognitive impairment (CI) using tools such as the Mini-Cog has proven useful in identifying patients at high risk for adverse postoperative outcomes, including delirium, prior to surgery.
Madeleine R. Falby, MSc +7 more
doaj +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
This study employs an unsupervised learning technique to identify features of misinformation on Weibo, a popular social media platform in China. By utilizing BERT (Bidirectional Encoder Representations from Transformers) for sequence classification, we ...
Yiping Li +4 more
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Visual cortex speckle imaging for shape recognition
This study introduces a non‑invasive approach for neurovisual classification of geometric shapes by capturing and decoding laser‑speckle patterns reflected from the human striate cortex.
Zeev Kalyuzhner +4 more
doaj +1 more source

