Results 161 to 170 of about 959 (264)

Tidal tail identification and detailed analysis of the open star cluster King 13 using Gaia DR3 and 2MASS. [PDF]

Sci Rep
Ahmed NM, Darwish MS.
europepmc   +1 more source

Evaluation of Experienced Manipulation Characteristics in Robotic Surgery Using Log Data From the Hinotori Surgical System

Annals of Gastroenterological Surgery, EarlyView.
This study analyzed log data from the Japanese hinotori surgical robot to characterize manipulation performed by experienced surgeons in robotic surgery. Compared with less‐experienced surgeons, the experienced group demonstrated shorter task durations, reduced travel distances with the right instrument (Arm3), faster and more dynamically modulated ...
Masaki Saito, Shunsuke Hayakawa, Hiroyuki Sagawa, Tamiaki Kondo, Masanao Ohashi, Sunao Ito, Reo Sato, Hajime Ushigome, Kenta Saito, Ryo Ogawa, Hiroki Takahashi, Shuji Takiguchi   +11 more
wiley   +1 more source

Precision analysis of NGC 2158 with Gaia DR3. [PDF]

Sci Rep
Ahmed NM, Tadross AL.
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

The photometry and kinematics studies of NGC 2509 derived from Gaia DR3. [PDF]

Sci Rep
Ahmed NM, Tadross AL.
europepmc   +1 more source

Measuring neutron capture cross sections of radioactive nuclei: From activations at the FZK Van de Graaff to direct neutron captures in inverse kinematics with a storage ring at TRIUMF. [PDF]

Eur Phys J A Hadron Nucl, 2023
Dillmann I, Kester O, Baartman R, Chen A, Junginger T, Herwig F, Kaltchev D, Lennarz A, Planche T, Ruiz C, Vassh N.   +10 more
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
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, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Origins and lifetimes of secular and tidal bars in simulated disc galaxies. [PDF]

Mon Not R Astron Soc
Frosst M, Obreschkow D, Ludlow A, Fraser-McKelvie A.   +3 more
europepmc   +1 more source

Fluorescent Hydrogel‐Based Strain Sensor With Machine Learning‐Augmented Performance

Advanced Intelligent Discovery, EarlyView.
Fluorescent hydrogel strain sensor based on carbon quantum dots enabling optical readout of deformation through strain‐dependent emission changes, coupled with Random Forest analysis to capture nonlinear fluorescence‐concentration relationships and identify optimal sensing conditions. Hydrogels are ideal matrices for bio‐integrated wearable sensors due
Tailai Chen, Tianlong Liu, Chao Lu, Rimsha Malik, Jin Zhang   +4 more
wiley   +1 more source

Strong gravitational lenses from the Vera C. Rubin Observatory. [PDF]

Philos Trans A Math Phys Eng Sci
Shajib AJ, Smith GP, Birrer S, Verma A, Arendse N, Collett T, Daylan T, Serjeant S, LSST Strong Lensing Science Collaboration.   +8 more
europepmc   +1 more source