Results 161 to 170 of about 63,143 (195)
Taxonomy of Chemical Bondings: Opportunities and Challenges. [PDF]
Pizzi A +5 more
europepmc +1 more source
This work presents the MicroRoboScope, a highly integrated, compact, and portable microrobotic experimentation platform combining electromagnetic and acoustic actuation with real‐time visual feedback into a single, end‐to‐end device. The system enables closed‐loop control and tracking algorithm experimentation within an accessible and unified hardware ...
Max Sokolich +4 more
wiley +1 more source
Systematic Exploration of 3D Concrete Printing Parameters for Conformal Printing on Sloped Surfaces
A conformal slicing algorithm is developed for robotic 3D concrete printing (3DCP) on sloped surfaces as a first step toward printing slab‐on‐grade foundations on uneven terrain. Systematic experiments quantify the effects of nozzle speed, extrusion rate, and toolpath direction on filament dimension and stability.
Paniz Farrokhsiar +2 more
wiley +1 more source
In a lumbar spine instability model, dorsal root ganglion cells mediate the perception of relevant mechanical stresses through Piezo2 and subsequently release CGRP. CGRP activates the NF‐κB signaling pathway in cartilage endplate cells through the receptor RAMP1.
Hanpeng Xu +16 more
wiley +1 more source
How Neuromorphic Microstructures Control In Vitro Early‐Stage Neuronal Outgrowth
Biomimetic approach to neuronal interaction with neuromorphic microstructures. ABSTRACT Neuromorphic biomaterials represent a novel class of materials designed to replicate the architecture and functionality of neuronal structures, offering new opportunities in tissue engineering and bioelectronics.
Claudia Latte Bovio +5 more
wiley +1 more source
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen +15 more
wiley +1 more source
The butterfly unfolded wing in an open form structure of botulinum neurotoxin type A (BoNT/A) at physiological‐state was confirmed at 2.85 Å resolution by cryo‐electron microscopy (cryo‐EM). Structure‐guided protein engineering significantly enhanced the receptor‐binding affinity, therapeutic efficacy, and safety of the engineered toxin variants ...
Wenrui Wang +16 more
wiley +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source

