Results 41 to 50 of about 23,683 (254)

PySSM: A Python Module for Bayesian Inference of Linear Gaussian State Space Models

Journal of Statistical Software, 2014
PySSM is a Python package that has been developed for the analysis of time series using linear Gaussian state space models. PySSM is easy to use; models can be set up quickly and efficiently and a variety of different settings are available to the user ...
Christopher Strickland, Robert Burdett, Kerrie Mengersen, Robert Denham   +3 more
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Parametrizando ejercicios con Python y LaTeX: una novedosa estrategia para generación de materiales de enseñanza y evaluación en matemáticas (Parameterizing exercises with Python and LaTeX: a novel strategy for generating teaching and assessment materials inmathematics)

Revista Digital Matemática, Educación e Internet
En este artículo se presenta una propuesta novedosa para su uso en docencia, que consiste en la construcción de ejercicios generados a partir de una estructura base con parámetros pseudoaleatorios, de manera que al sustituirlos con valores particulares ...
Jorge Arroyo Hernández, Federico Mora Mora, Eithel Trigueros Rodríguez, Karen Porras Lizano   +3 more
doaj   +1 more source

pyKVFinder: an efficient and integrable Python package for biomolecular cavity detection and characterization in data science

BMC Bioinformatics, 2021
Background Biomolecular interactions that modulate biological processes occur mainly in cavities throughout the surface of biomolecular structures.
João Victor da Silva Guerra, Helder Veras Ribeiro-Filho, Gabriel Ernesto Jara, Leandro Oliveira Bortot, José Geraldo de Carvalho Pereira, Paulo Sérgio Lopes-de-Oliveira   +5 more
doaj   +1 more source

Multimodal Imaging Reveals Rapid Catecholamine Uptake and Release by Neutrophils

Advanced Science, EarlyView.
We show that immune cells (neutrophils) synthesize, uptake, and store catecholamine neurotransmitters such as dopamine or adrenaline. They also release them in response to specific stimuli (serotonin), which we directly visualize using fluorescent nanosensors. We further demonstrate that catecholamines affect neutrophil functions (NETosis) and platelet
Jennifer Mohr, Anne Schmitz, Meshkat Dinarvand, Franziska Wulfert, Sangeetha Shankar, Bjoern F. Hill, Michael Wojak, Juliana Gretz, Marie Britz, Elsa Neubert, Magdalena Shumanska, Sofia Kaushik, Linda Kartaschew, Ivan Bogeski, James Daniel, Sebastian Jung, Johannes Eble, Guido Wabnitz, Luise Erpenbeck, Sebastian Kruss   +19 more
wiley   +1 more source

The Python ARM Radar Toolkit (Py-ART), a Library for Working with Weather Radar Data in the Python Programming Language

Journal of Open Research Software, 2016
The Python ARM Radar Toolkit is a package for reading, visualizing, correcting and analysing data from weather radars. Development began to meet the needs of the Atmospheric Radiation Measurement Climate Research Facility and has since expanded to ...
Jonathan J Helmus, Scott M Collis
doaj   +1 more source

Wireless, Adaptable and Fully Implantable Battery‐powered Devices for Optical Stimulation of the Spinal Cord in Small Rodents

Advanced Science, EarlyView.
Current technologies for spinal cord optogenetic stimulation rely on external power sources and face reliability constraints in freely behaving animals. Here, a fully implantable, battery‐powered optoelectronic device is introduced, enabling operation in any selected environment with wireless recharging for months‐long stimulation.
Shahriar Shalileh, Adan Moallemi, Elham Mohseni Vadeghani, Samuel Tretjakov, Brianna Tsuyuki, Alexander Golab, Benjamin Rever, Wolfram Tetzlaff, Dena Shahriari   +8 more
wiley   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

Reaction-Diffusion in the NEURON Simulator

Frontiers in Neuroinformatics, 2013
In order to support research on the role of cell biological principles (genomics, proteomics, signaling cascades and reaction dynamics) on the dynamics of neuronal response in health and disease, NEURON has developed a Reaction-Diffusion (rxd) module in ...
Robert A. McDougal, Michael L. Hines, William W. Lytton, William W. Lytton, William W. Lytton   +4 more
doaj   +1 more source

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

Advanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source