Results 151 to 160 of about 271,940 (302)
Fractional heat conduction with variable thermal conductivity in rotating hydro-semiconductors. [PDF]
Elshazly IS +6 more
europepmc +1 more source
Seamlessly Machine‐Knitted Multi‐Sensor Garment to Monitor and Quantify Dynamic Upper Body Movement
A seamlessly machine‐knitted multi‐sensor garment, that can detect multiplanar dynamic shoulder and elbow motion, is demonstrated. The garment has four strain sensors connected to a circuit board via flexible interconnects, with all components integrated into the fabric in a single manufacturing step.
Ying Yi Tan +6 more
wiley +1 more source
Impact of rotating cylinders configurations on Cu-water nanofluid heat transfer in a vented cavity: a COMSOL multiphysics base study. [PDF]
Afzal U +5 more
europepmc +1 more source
A Skin‐Adherent Magneto‐Inertial Wearable for Real‐Time Joint Motion Analysis
An imperceptible magneto‐inertial wearable couples a skin‐adherent PDMS‐NdFeB patch with a 9‐DoF IMU to track joint kinematics in real time and classify range‐of‐motion (Limited/Normal/Hypermobile) via a 1D‐CNN (95.3% accuracy). Wireless BLE streaming and a mobile app enable feedback.
Montserrat Ramirez‐De Angel +2 more
wiley +1 more source
A time-fractional model of hydromagnetic slip flow of viscous fluid in rotational frame with heat and mass transfer. [PDF]
Ahmad S +6 more
europepmc +1 more source
Inspired by natural light‐harvesting systems, this study computationally investigates a synthetic antenna by arranging cationic free‐base porphyrin molecules on an anionic clay surface. Using a multiscale quantum mechanics/molecular mechanics (QM/MM) approach combined with a multifidelity machine learning method, excitation energies are predicted ...
Dongyu Lyu +7 more
wiley +1 more source
Type-II neural symmetry detection with Lie theory. [PDF]
Gabel A, Quax R, Gavves E.
europepmc +1 more source
Toward a Universal Czochralski Growth Model Leveraging Data‐Driven Techniques
This data‐driven study investigates Czochralski growth using Decision Trees, Symbolic Regression, ANN, and SHAP to assess the impact of 21 process and design parameters on crystal quality. Trained on 632 CFD simulation datasets across four crystalline materials, it demonstrates the feasibility of a universal Cz model applicable to various ...
Natasha Dropka +4 more
wiley +1 more source

