Results 51 to 60 of about 102,032 (239)

Turbulent Velocity Structure in Molecular Clouds

, 2002
We compare velocity structure in the Polaris Flare molecular cloud at scales ranging from 0.015 pc to 20 pc to simulations of supersonic hydrodynamic and MHD turbulence computed with the ZEUS MHD code.
Mac Low, Mordecai-Mark, Ossenkopf, Volker   +1 more
core   +1 more source

Supraparticles Composed of Graphitic Carbon Nitride Nanoparticles and Silica‐Supported Horseradish Peroxidase as Customizable Hybrid Catalysts for Photo‐Biocatalytic Cascade Reactions in Continuous Flow

Advanced Functional Materials, EarlyView.
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig, Egzon Cermjani, Doris Hanselmann, Johannes Prieschl, Angelika Schmitt, Michael S. Moritz, Christian Papp, Greta Nölke, Stefano Di Fiore, Christoph Deckers, Thomas H. Rehm, Susanne Wintzheimer   +11 more
wiley   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Two-Dimensional Magnetohydrodynamic Simulations of Barred Galaxies

, 2012
Barred galaxies are known to possess magnetic fields that may affect the properties of bar substructures such as dust lanes and nuclear rings. We use two-dimensional high-resolution magnetohydrodynamic (MHD) simulations to investigate the effects of ...
Ann, Athanassoula, Athanassoula, Athanassoula, Buta, Camenzind, Comeròn, Englmaier, Erwin, Ferrers, Friedli, Garcia-Burillo, Hsieh, James M. Stone, Kim, Kim, Kim, Kim, Knapen, Koldoba, Kulpa-Dybeł, Lou, Maoz, Martinez-Valpuesta, Martini, Martini, Mazzuca, Mazzuca, Moss, Otmianowska-Mazur, Patsis, Prieto, Regan, Regan, Regan, Regan, Rohde, Sandage, Shaw, Shaw, Shukurov, Stone, Thakur, van de Ven, Woong-Tae Kim   +44 more
core   +1 more source

Fluorescent Nanodiamonds Based Theranostic Platform for pH‐Sensitive Drug Delivery and Quantum Sensing

Advanced Functional Materials, EarlyView.
A multifunctional nanodiamond platform enables pH‐triggered Diazoxide (DZX) delivery and quantum sensing of subcellular radical dynamics in triple‐negative breast cancer cells. Diamond relaxometry revealed reduced lysosomal radicals during DZX‐induced mitochondrial radical elevation, providing insights into redox modulation and organelle‐ resolved ...
Kaiqui Wu, Siyu Fan, Yue Zhang, Willem Woudstra, Thomas Mulder, Laurens Boscher Navarro, Jur van Dijken, Katja Loos, Romana Schirhagl   +8 more
wiley   +1 more source

Characterization of ultrafiltration membranes by tracer's retention:Comparison of methods sensitivity and reproducibility [PDF]

, 2010
Previous studies have shown that the absolute membrane cut-off and the value quoted by the manufacturers may be very different because of differences in methodologies and testing conditions.
Causserand, Christel, Lorain, Olivier, Pierre, Gwenaelle, Rapenne, Sophie, Sauvade, Patrick, Schrotter, Jean-Christophe   +5 more
core   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Hydrodynamic object recognition using pressure sensing

, 2010
Hydrodynamic sensing is instrumental to fish and some amphibians. It also represents, for underwater vehicles, an alternative way of sensing the fluid environment when visual and acoustic sensing are limited.
Ahlfors L. V., Bleckmann H., Coombs S., Duren P. L., Dusenbery D. B., Henrici P., Henrici P., Hensel K., Jamieson A. J., Morse P. M., Muskhelishvili N. I., Nehari Z., Pommerenke C., Tsuji M.   +13 more
core   +1 more source

Light‐Responsive Enzyme‐Loaded Nanoparticles for Tunable Adhesion and Mechanical Wound Contraction

Advanced Functional Materials, EarlyView.
This study presents a photoactivatable enzyme‐loaded mesoporous nanoparticle system (MPDA_PaTy) that enables light‐triggered tunable tissue adhesion and facilitates mechanical wound contraction. Controlled enzymatic crosslinking at tissue or hydrogel interfaces allows on‐demand adhesion.
Junghyeon Ko, Hyeon‐Jin Kim, Jeong‐Uk Kim, Seh Ri Oh, Tae Hoon Kang, Junghwan Byun, Uk‐Jae Lee, Minglin Ma, Su‐Hwan Kim, Byung‐Gee Kim, Nathaniel S. Hwang   +10 more
wiley   +1 more source

Numerical investigation of scour behavior around complex piers under flood conditions

Frontiers in Built Environment
IntroductionLocal scour at bridge piers is a primary cause resulting bridge failure, a risk that is significantly exacerbated under extreme hydrodynamic events such as floods.MethodsThis study presents a numerical investigation of the scour behavior ...
Qiang Qin, Liangliang Shi, Yufei Li, Yujie Li, Haozhou Qin, Gang Ren, Zhiying Yang   +6 more
doaj   +1 more source