Results 181 to 190 of about 828,366 (333)

AXZ viewer: a web application to visualize unprocessed AFM-IR data. [PDF]

Bioinformatics
Duverger W, Ramer G, Louros N, Schymkowitz J, Rousseau F.   +4 more
europepmc   +1 more source

Breeding data on captive Indian Rock Python (Python molurus molurus)

, 2002
Raju Vyas
openalex   +1 more source

Harnessing Non‐Covalent Protein–Protein Interaction Domains for Production of Biocatalytic Materials Systems

Advanced Functional Materials, EarlyView.
Non‐covalent protein–protein interactions mediated by SH3, PDZ, or GBD domains enable the self‐assembly of stable and biocatalytically active hydrogel materials. These soft materials can be processed into monodisperse foams that, once dried, exhibit enhanced mechanical stability and activity and are easily integrated into microstructured flow ...
Julian S. Hertel, Maria Alessandra Martini, Marius Stoeckle, Annika J. Weber, Kersten S. Rabe, Christof M. Niemeyer   +5 more
wiley   +1 more source

Isolation and passaging of reptarenaviruses utilizing cultured snake cells suggest tissue tropism and restrictions in segment reassortment. [PDF]

J Gen Virol
Lintala A, Hetzel U, Szirovicza L, Timin E, Kipar A, Hepojoki J.   +5 more
europepmc   +1 more source

Computed tomography of the lungs of Indian pythons (Python molurus) [PDF]

, 2007
Michael Pees, Ingmar Kiefer, Eberhard Ludewig, Juergen Schumacher, Maria‐Elisabeth Krautwald‐Junghanns, Gerhard Oechtering   +5 more
openalex   +1 more source

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

Preparing for the European Health Data Space: an open-source compiler for fast, transparent, and portable health data transformations. [PDF]

Front Med (Lausanne)
Beyer S, Tanjga N, Kleinoscheg G, Hayn D, Donsa K, Kreiner K, Schreier G.   +6 more
europepmc   +1 more source

Extensible message passing application development and debugging with Python

, 2002
David M. Beazley, P. S. Lomdahl
openalex   +2 more sources

Python and Roles of Variables in Introductory Programming: Experiences from Three Educational Institutions [PDF]

, 2007
Uolevi Nikula, Jorma Sajaniemi, Matti Tedre, Stuart Wray   +3 more
openalex   +1 more source

Wafer‐Scale Integration of α‐quartz Thin Films toward Super High Frequency Piezoelectric bioNEMS for Chikungunya Virus Detection

Advanced Functional Materials, EarlyView.
Epitaxial piezoelectric α‐quartz/Si BioNEMS sensors, made using soft chemistry, effectively detect the Chikungunya virus. They have a mass sensitivity of 205 pg Hz−1 in liquid and can detect the virus at a limit of 9 ng mL−1. This development enables high‐frequency mass devices for point‐of‐care testing in healthcare and other electronic applications ...
Raissa Rathar, Sijie Ding, David Sanchez‐Fuentes, Claire Jolly, Charlotte André‐Arpin, Rudy Desgarceaux, Nicolas Guillaume, Gustavo Ardila, Ricardo Garcia‐Bermejo, Jaume Gazquez, Sergi Plana‐Ruiz, Laura Picas, Adrian Carretero‐Genevrier   +12 more
wiley   +1 more source