Results 51 to 60 of about 172,920 (309)

Standardized Effect Measures Informing Next‐Generation Strategies for Mechanical Stimulation in Cartilage Tissue Engineering

open access: yesAdvanced Healthcare Materials, EarlyView.
This systematic review quantitatively compares conventional mechanical stimulation strategies in cartilage tissue engineering across 85 heterogeneous in vitro studies. Applying standardized effect measures, meta‐analysis reveals that combined compression and shear loading optimally promotes cartilage matrix development.
Jiaqi K. Shen   +7 more
wiley   +1 more source

Influence of Chemical Kinetics on Tulip Flame Formation in Highly Reactive (H2/Air) and Low Reactive (CH4/Air) Mixtures

open access: yesEnergies
The early stages of hydrogen–air and methane–air flame dynamics and the development and evolution of tulip flames in closed tubes of various aspect ratios and in a semi-open tube are studied by solving the fully compressible reactive Navier–Stokes ...
Chengeng Qian, Mikhail A. Liberman
doaj   +1 more source

Compressible Flows at Small Reynolds Numbers [PDF]

open access: yes, 1972
The problem of the slow viscous flow of a gas past a sphere is considered. The fluid cannot be treated incompressible in the limit when the Reynolds number Re, and the Mach number M, tend to zero in such a way that Re ~ o(M^2 ).
Thyagaraja, Anantanarayanan
core   +1 more source

Self‐Assembled Inorganic Nanomembrane Tubes: Rolled‐Up Piezoelectrics for Microacoustic Wave‐Based Actuators and Sensors

open access: yesAdvanced Materials, EarlyView.
This study demonstrates a self‐assembly process to generate free‐standing piezoelectric nanomembranes, forming ultracompact microtubular acoustic wave sensors and actuators. The miniaturized 3D piezoelectric platform reported in this work can be applied in telecommunication, energy harvesting, and acoustofluidics. Moreover, the 3D self‐assembly can add
Raphaël C. L‐M. Doineau   +9 more
wiley   +1 more source

Wing Efficiency Enhancement at Low Reynolds Number

open access: yesAerospace
The aerodynamic performance of wings degrades severely at low Reynolds number; lift often becomes non-linear, while drag increases significantly, caused by large extents of separation.
Lance W. Traub
doaj   +1 more source

High Reynolds Channel Flows: Upstream interaction of various wall deformations [PDF]

open access: yes, 2011
The flow at high Reynolds number in the entrance of distorted channel is considered. We analyse the anticipated fluid responds to a downstream wall distortion, and we find that the non linear upstream length $\Delta={\mbox{O}}(R_e^{1/7})$, using either ...
Mauss, Jacques   +3 more
core  

BioEISense: A Microfluidic Platform for Real‐Time Monitoring of Staphylococcus aureus Biofilm Formation and the Efficacy of Antibiofilm Agents

open access: yesAdvanced Materials Interfaces, EarlyView.
BioEISense is a microfluidic device with integrated impedance sensors, for real‐time, label‐free monitoring of S. aureus biofilms. In this study, the biofilm culture conditions were optimized to support sensitive and reproducible detection of biofilm formation and eradication under dynamic flow‐through conditions. The system was also validated for both
Jéssica Amorim   +6 more
wiley   +1 more source

Rotational Maneuvers of Copepod Nauplii at Low Reynolds Number

open access: yesFluids, 2020
Copepods are agile microcrustaceans that are capable of maneuvering freely in water. However, the physical mechanisms driving their rotational motion are not entirely clear in small larvae (nauplii).
Kacie T. M. Niimoto   +4 more
doaj   +1 more source

Strouhal number analysis for the swimming of little penguin (Eudyptula minor): Proof of efficient underwater propulsion

open access: yesResults in Engineering, 2023
Penguins are the utmost specialized wing-propelled divers as their flapping action is accountable for the entire underwater propulsion. However, numerical evidence of how efficient their underwater propulsion is has not been studied to date.
Mahadi Hasan Masud, Peter Dabnichki
doaj   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

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