Results 71 to 80 of about 900,692 (289)
As neuroimaging databases grow in size and complexity, the time researchers spend investigating and managing the data increases to the expense of data analysis. As a result, investigators rely more and more heavily on scripting using high-level languages
Yannick eSchwartz +8 more
doaj +1 more source
Modernizing PHCpack through phcpy [PDF]
PHCpack is a large software package for solving systems of polynomial equations. The executable phc is menu driven and file oriented. This paper describes the development of phcpy, a Python interface to PHCpack. Instead of navigating through menus, users
Verschelde, Jan
core
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Stock portfolio construction using LSTM neural networks and fractal analysis
The article tests the hypothesis that combining the methods of fractal analysis and prediction of stock returns using LSTM neural network in the construction of investment portfolio allows improving its characteristics (the ratio of return and risk ...
Robert V. Garafutdinov +1 more
doaj +1 more source
KMCLib: A general framework for lattice kinetic Monte Carlo (KMC) simulations
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
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Neuroscience modeling experiments often involve multiple complex neural network and cell model variants, complex input stimuli and input protocols, followed by complex data analysis.
Richard P Drewes +4 more
doaj +1 more source
Efficient Pattern Matching in Python
Pattern matching is a powerful tool for symbolic computations. Applications include term rewriting systems, as well as the manipulation of symbolic expressions, abstract syntax trees, and XML and JSON data.
Bachmair L. +9 more
core +1 more source
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
An investigation of the conceptual network of scientific productions in the field of artificial intelligence and therapy through topic modeling [PDF]
Background and aim: Artificial intelligence has been used since 1950 in the areas of personalized health services and analyzing patient data, such as medical history and lifestyle factors.
Sima Zoumakzehi +3 more
doaj

