Results 121 to 130 of about 2,427 (237)
Vision‐Assisted Avocado Harvesting with Aerial Bimanual Manipulation
This work outlines the design and implementation of a bimanual aerial robot that employs visual perception and learning to detect, reach, and harvest avocados. A new gripper and fixer arm assembly is used to harvest avocados, while visual perception enables the detection of avocados and estimation of their position and orientation for determining ...
Zhichao Liu+3 more
wiley +1 more source
Long- and Short-Term Changes in the Neuroimmune-Endocrine Parameters following Inhalation Exposures of F344 Rats to Low-Dose Sarin [PDF]
Juan Carlos Peña-Philippides+6 more
openalex +1 more source
FreqD‐LBM simulates the oscillatory flow at the surface of a QCM‐D resonator in the presence of structured adsorbates. It derives shifts of frequency and bandwidth (equivalent to dissipation) on different overtones. Applications include rough surfaces, adsorbed rigid particles, adsorbed viscoelastic particles, spheres floating freely above the surface,
Diethelm Johannsmann+5 more
wiley +1 more source
Mass spectrometry identifies covalent binding of soman, sarin, chlorpyrifos oxon, diisopropyl fluorophosphate, and FP-biotin to tyrosines on tubulin: A potential mechanism of long term toxicity by organophosphorus agents [PDF]
Hasmik Grigoryan+5 more
openalex +1 more source
The ΔRMSF$\Delta {\rm RMSF}$ analysis reveals significant flexibility differences between free NS3 and the NS2B/NS3 complex, with notable deviations in specific regions. Key residues driving NS2B binding are identified, and the protonation state of catalytic serine affects oxyanion hole formation.
Jurica Novak+2 more
wiley +1 more source
Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain+2 more
wiley +1 more source
FMint is introduced as a multi‐modal foundation model that integrates human‐designed solvers and data‐driven methods for fast, accurate simulation of dynamical systems. FMint leverages in‐context learning within a transformer‐based framework to refine coarse numerical solutions.
Zezheng Song, Jiaxin Yuan, Haizhao Yang
wiley +1 more source
Molecular Modeling Study of Uncharged Oximes Compared to HI-6 and 2-PAM Inside Human AChE Sarin and VX Conjugates [PDF]
Felipe Rodrigues de Souza+6 more
openalex +1 more source