Results 11 to 20 of about 80,279 (227)

Diffusion‐based size determination of solute particles: a method adapted for postsynaptic proteins

FEBS Open Bio, EarlyView.
We present a diffusion‐based approach for measuring the size of macromolecules and their complexes, and demonstrate its use on postsynaptic proteins. The method requires fluorescein‐labelled protein samples, a microfluidic device that maintains laminar flow for said samples, a microscope recording the emitted fluorescent signals, and an analytic ...
András László Szabó, Eszter Nagy‐Kanta, Soma Varga, Edit Andrea Jáger, Csaba István Pongor, Mária Laki, András József Laki, Zoltán Gáspári   +7 more
wiley   +1 more source

Modelling Atherosclerotic Plaque Cap Mechanics: Microcalcifications Reduce Mechanical Properties in Mesenchymal Stromal Cell‐Based Model

Advanced Biology, EarlyView.
This study develops a tissue‐engineered model of the atherosclerotic cap using human mesenchymal stromal cells (MSCs). After 2 weeks of culture to produce a collagenous matrix, a mineralizing medium induces microcalcifications over 4 weeks. These constructs, imaged with second harmonic generation microscopy, lead to reduced ultimate stress at rupture ...
Imke L. Jansen, Deniz Şahin, Frank J.H. Gijsen, Eric Farrell, Kim van der Heiden   +4 more
wiley   +1 more source

Unrolling of Syngonium podophyllum: Functional Anatomy, Morphology and Modelling of Its Peltate Leaves

Advanced Biology, EarlyView.
The unrolling of the peltate leaves in Syngonium podophyllum is analyzed and quantified (left‐hand side to center). These measurements serve to verify a mathematical model for leaf unrolling based on the model used in Schmidt (2007). An additional formula for obtaining a layer mismatch from a prescribed radius is derived.
Michelle Modert, Nick Seinsche, Sören Bartels, Tom Masselter, Thomas Speck   +4 more
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

P2843Impact of bipolar vector orientation and inter-electrode spacing on electrograms during human atrial fibrillation

European Heart Journal, 2019
Abstract Background In patients with atrial fibrillation (AF), local atrial bipolar electrograms (EGM) are clinically used to determine peak-to-peak voltage (Vpp), dominant frequency (DF) and Shannon Entropy (ShEn) for electroanatomical substrate characterization and substrate-based ablation.
Dennis H. Lau, Simanto Saha, Kadhim Kadhim, Prashanthan Sanders, Dominik Linz, R Kutieleh, Mathias Baumert   +6 more
openaire   +2 more sources

Influence of a Standard Heat Treatment on the Microstructure and Properties of Inconel X‐750 Produced by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Ni‐base superalloys produced using additive manufacturing (AM) have a different response to heat treatments when compared to their conventional counterparts. Due to such unpredictability, various alloys with industrial interest are currently overlooked in most prior AM research.
Guilherme Maziero Volpato, Adriano de Souza Pinto Pereira, Steffen Neumeier, Dachamir Hotza, Mathias Göken, Ulrich Tetzlaff, Márcio Celso Fredel   +6 more
wiley   +1 more source

Modelling and simulation of electric drive vehicle based on Space Vector Modulation technique and Field Oriented Control strategy [PDF]

2017 International Conference on Communication, Control, Computing and Electronics Engineering (ICCCCEE), 2017
Recently, the electric vehicle has emerged as a powerful platform for mitigating energy crisis and reducing environmental pollution in the transportation sector. The major drawbacks of electrically powered automobile that limits its competitiveness with the internal combustion engine counterpart are the vehicle driving range and battery energy capacity.
Izhal Abdul Halin, Saber M. E. Fadul, Ishak Aris, Norhisam Misron, A.k.m. Parvez Iqbal   +4 more
openaire   +2 more sources

Residual Stress States in Microstructurally Graded PBF–LB/M Austenitic Steel Components

Advanced Engineering Materials, EarlyView.
This study examines microstructurally graded 316L rectangular tube profiles fabricated via PBF–LB/M using a dual‐laser system. A 1 kW top‐hat and a 400 W Gaussian laser create distinct grain sizes and crystallographic texture. Mechanical properties are linked to microstructural evolution driven by processing conditions.
Nico Möller, Florian Loebich, Thomas Wegener, Julia Richter, Jens Gibmeier, Thomas Niendorf   +5 more
wiley   +1 more source

Crystal‐Symmetry‐Driven Build Orientation and its Impact on the {110}<100> Goss Texture Formation and Mechanical Properties of Laser Powder Bed Fused AISI 316L

Advanced Engineering Materials, EarlyView.
This study explores a crystal‐symmetry‐based approach to optimize mechanical properties in laser powder bed fused AISI 316L with predominant {110}<100> Goss textures. By varying the build orientation, the microstructure can be tailored and the tensile properties optimized. The tilted build (T110) achieved the highest strength while preserving ductility,
Daniel Rainer, Jithin James Marattukalam, Dennis Karlsson, Přemysl Beran, Charles Hervoches, Gabriella Andersson, Prabhat Pant, Martin Sahlberg   +7 more
wiley   +1 more source

Reliable Tissue Grasping in Robotic Minimally Invasive Surgery Enabled by Optical‐Based Slip Sensing

Advanced Engineering Materials, EarlyView.
An optical‐based slip sensing method using a complementary metal–oxide–semiconductor image sensor with a built‐in infrared light emitting diode enables real‐time detection of tissue slippage—including displacement, direction, and speed—in robotic minimally invasive surgery.
Minjae Lee, Amy Kyungwon Han
wiley   +1 more source