Results 111 to 120 of about 854,725 (353)

Whole‐Blood RNA Sequencing Profiling of Patients With Rheumatoid Arthritis Treated With Tofacitinib

open access: yesACR Open Rheumatology, EarlyView.
Objective Patients with rheumatoid arthritis (RA) often fail to respond to therapies, including JAK inhibitors (JAKi), and treatment allocation is made via a trial‐and‐error strategy. A comprehensive analysis of responses to JAKi, including tofacitinib, by RNA sequencing (RNAseq) would allow the discovery of transcriptomic markers with a two‐fold ...
Chiara Bellocchi   +11 more
wiley   +1 more source

Pyff---A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience

open access: yesFrontiers in Neuroinformatics, 2010
This paper introduces Pyff, the Pythonic Feedback Framework for feedback applications and stimulus presentation. Pyff provides a platform independent framework that allows users to develop and run neuroscientific experiments in the programming language ...
BastianVenthur   +4 more
doaj   +1 more source

Network features and pathway analyses of a signal transduction cascade

open access: yesFrontiers in Neuroinformatics, 2009
The scale-free and small-world network models reflect the functional units of networks. However, when we investigated the network properties of a signaling pathway using these models, no significant differences were found between the original undirected ...
Ryoji Yanashima   +12 more
doaj   +1 more source

Source code: automatic C library wrapping - Ctypes from the trenches [PDF]

open access: yes, 2009
At some point of time many Python developers at least in computational science will face the situation that they want to interface some natively compiled library from Python.
Kloss, Guy K.
core  

KMCLib: A general framework for lattice kinetic Monte Carlo (KMC) simulations

open access: yes, 2014
KMCLib is a general framework for lattice kinetic Monte Carlo (KMC) simulations. The program can handle simulations of the diffusion and reaction of millions of particles in one, two, or three dimensions, and is designed to be easily extended and ...
Leetmaa, Mikael, Skorodumova, Natalia V.
core   +1 more source

A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion

open access: yesAdvanced Engineering Materials, EarlyView.
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann   +5 more
wiley   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

PCSIM: a parallel simulation environment for neural circuits fully integrated with Python

open access: yesFrontiers in Neuroinformatics, 2009
The Parallel Circuit SIMulator (PCSIM) is a software package for simulation of neural circuits. It is primarily designed for distributed simulation of large scale networks of spiking point neurons. Although its computational core is written in C++, PCSIM'
Dejan Pecevski   +2 more
doaj   +1 more source

TurbuStat: Turbulence Statistics in Python

open access: yes, 2019
We present TurbuStat (v1.0): a Python package for computing turbulence statistics in spectral-line data cubes. TurbuStat includes implementations of fourteen methods for recovering turbulent properties from observational data.
Boyden, Ryan D.   +6 more
core   +1 more source

Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel

open access: yesAdvanced Engineering Materials, EarlyView.
The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy