Results 251 to 260 of about 828,366 (333)

Ten quick tips for developing a reproducible Shiny application. [PDF]

PLoS Comput Biol
Brun J, Janée G, Curty RG.
europepmc   +1 more source

Redox‐Active Polyphenol Red Molecularly Imprinted Polymers on Porous Gold Electrodes for Ultrasensitive, AI‐Assisted Detection of Alzheimer's Biomarkers in Undiluted Biofluids

Advanced Healthcare Materials, EarlyView.
This work presents a low‐cost, reagent‐free point‐of‐care biosensor integrating redox‐active polyphenol red molecularly imprinted polymers (pPhR MIPs) on highly porous gold (HPG) electrodes for ultrasensitive detection of phosphorylated tau 181 (p‐Tau 181), an Alzheimer’s disease biomarker, in undiluted biofluids.
Sudhaunsh Deshpande, Ajith Mohan Arjun, Guoyi Liu, Kryztof Pawlak, Sanjiv Sharma   +4 more
wiley   +1 more source

medspacyV: a graphical user interface for the open source medspaCy natural language processing package. [PDF]

JAMIA Open
Velamala B, Sagheb Hossein Pour E, Lin M, Fan JW.   +3 more
europepmc   +1 more source

Converting Python Functions to Dynamically Compiled C

, 2008
Ilan Schnell
openalex   +1 more source

Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications

Advanced Materials, EarlyView.
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar, Hasan Can Gulbalkan, Gokhan Onder Aksu, Seda Keskin   +3 more
wiley   +1 more source

Artificial intelligence in action: building simulation and analysis tools for powder diffraction. [PDF]

Acta Crystallogr A Found Adv
Scardi P, Malagutti MA.
europepmc   +1 more source

How the Large Synoptic Survey Telescope (LSST) is using Python

, 2008
Robert H. Lupton
openalex   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

Advanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck   +3 more
wiley   +1 more source

First case of serpentovirus infection in a ball python (<i>Python regius</i>) in Thailand: a case report with molecular characterization. [PDF]

Vet Res Forum
Laoungbua P, Laopichienpong N, Longya A, Chanhome L, Vasaruchapong T, Tawan T, Chaiyabutr N.   +6 more
europepmc   +1 more source

Sherpa: 1D/2D modeling and fitting in Python

, 2009
Brian L. Refsdal, Stephen M. Doe, Dan T. Nguyen, Aneta Siemiginowska, Nina Bonaventura, D. J. Burke, I. N. Evans, Janet D. Evans, Antonella Fruscione, Elizabeth C. Galle, J. C. Houck, Margarita Karovska, Nicholas P. Lee, Michael A. Nowak   +13 more
openalex   +1 more source