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Three-Dimensional Analysis of Vocal Fold Oscillations: Correlating Superior and Medial Surface Dynamics Using Ex Vivo Human Hemilarynges
Published 2024-09-01“…The 3D surface parameters of mean and maximum velocities and displacements and general phonation parameters were calculated. …”
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Complex 3D-Printed Heat Transfer Surfaces: An Assessment and Comparison of Tools for Implicit Geometry Modelling
Published 2024-12-01“…In this respect, triply periodic minimal surfaces (TPMS) seem to be very promising. Gyroids and lidinoids are typical examples of such TPMS. …”
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High-speed atomic force microscopy and 3D modeling reveal the structural dynamics of ADAR1 complexes
Published 2025-05-01“…In this study, we employ a combination of computational 3D modeling and high-speed atomic force microscopy to elucidate the atomic and molecular dynamics of ADAR1. …”
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Three-dimensional nonlinear modeling of ELM dynamics with biasing in HL-3 tokamak
Published 2025-01-01“…The influence of a biased divertor target system on Edge Localized Mode (ELM) dynamics is investigated for the first time in the HL-3 tokamak, focusing on the impact of bias-driven scrape-off layer (SOL) helical currents on three-dimensional (3D) magnetohydrodynamic (MHD) equilibria and instabilities. …”
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Emerging Applications of Machine Learning in 3D Printing
Published 2025-02-01“…Three-dimensional (3D) printing techniques already enable the precise deposition of many materials, becoming a promising approach for materials engineering, mechanical engineering, or biomedical engineering. …”
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Hexagonal network cat paw-inspired iongel composites improve tribological properties
Published 2025-12-01“…Biomimetic surfaces, inspired by nature, are gaining popularity due to their promising technological applications. …”
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Functional nanoparticle developments for 3D-printed biodegradable implants- A comprehensive review
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A novel 3D-printed electrochemical cell for operando synchrotron experiments
Published 2025-07-01“…Electrochemical processes are often accompanied by significant transformations at the electrode-electrolyte interface, such as the formation of a solid electrolyte interphase or surface reconstruction. Studying these dynamic changes requires operando characterization techniques to overcome the limitations of ex-situ methods. …”
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3D-Printed Boron-Nitrogen Doped Carbon Electrodes for Sustainable Wastewater Treatment via MPECVD
Published 2025-06-01Get full text
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Nature‐inspired 3D hierarchical carbon nanotube matrices enable extraordinary solar steam generation
Published 2025-03-01“…The 3D matrices with radial direction nitrogen‐doped carbon nanotube clusters achieve ultrahigh surface area, photothermal efficiency, and hydrophilicity, which significantly intensifies the whole interfacial solar evaporation process. …”
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Rosemarinic Acid-Induced Destabilization of Aβ Peptides: Insights from Molecular Dynamics Simulations
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Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry
Published 2025-02-01“…We also discussed that 3D US with motion capture technology is very promising for dynamic bone tracking, but the US technology may not be ready for the task yet.…”
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An electromechanically reconfigurable intelligent surface for enhancing sub-6G wireless communication signal
Published 2023-09-01“…Reconfigurable intelligent surface (RIS) is emerged as a promising technique to solve the challenges faced by future wireless communication networks. …”
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Degradation Dynamics of Mineral Oil Aged Silica Doped Silicone Rubber Nanocomposites
Published 2025-01-01“…The physicochemical, surface morphological, and electrical properties of the aged specimens were analyzed using Fourier Transform Infrared Spectroscopy (FTIR), contact angle measurements, 3D microscopy, and breakdown voltage (BDV) testing. …”
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Time-dependent volumetric printing of precision lenses through dynamic laser writing
Published 2025-01-01“…Furthermore, the continuous scanning leads to the naturally ultra-smooth feature of the printed surfaces. As a demonstration, a millimeter-scale spherical lens was printed in 5.67 min, achieving a three-dimensional (3D) form error of 0.135 μm (root mean square, RMS) and a surface roughness of 0.31 nm (RMS). …”
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Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway
Published 2025-05-01“…High-resolution datasets, such as UAV imagery, offer a promising solution to tackle these issues and to study small-scale glacier dynamics, but new workflows are required to handle such data. …”
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