Results 71 to 80 of about 885,017 (274)

Efficient Pattern Matching in Python

open access: yes, 2017
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

Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky   +8 more
wiley   +1 more source

pysolorie: A Python Package for Optimal Orientation Analysis of Solar Panels

open access: yesJournal of Open Research Software
How can one maximize the solar irradiation energy received by a fixed flat solar panel? The orientation of a solar panel is determined by two angles: the tilt angle and the azimuthal angle.
Alireza Aghamohammadi   +2 more
doaj   +1 more source

pyfMRIqc: A Software Package for Raw fMRI Data Quality Assurance

open access: yesJournal of Open Research Software, 2020
pyfMRIqc is a tool for checking the quality of raw functional magnetic resonance imaging (fMRI) data. pyfMRIqc produces a range of output files which can be used to identify fMRI data quality issues such as artefacts, motion, signal loss etc.
Brendan Williams, Michael Lindner
doaj   +1 more source

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  

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu   +11 more
wiley   +1 more source

Calculating slope gradient variations in the submarine landforms by R and Python statistical libraries

open access: yesMANAS: Journal of Engineering, 2019
Multiple factors affect submarine geomorphology causing variations in the gradient slope: geological settings (rock composition, structure, permeability, erodibility of the materials), submarine erosion, gravity flows of water streams, tectonics ...
Polina Lemenkova
doaj  

Equation-oriented specification of neural models for simulations

open access: yesFrontiers in Neuroinformatics, 2014
Simulating biological neuronal networks is a core method of research in computational neuroscience. A full specification of such a network model includes a description of the dynamics and state changes of neurons and synapses, as well as the synaptic ...
Marcel eStimberg   +7 more
doaj   +1 more source

Projeto Novos Rumos 4.0: pedagogia crítica, metodologias ativas e desenvolvimento humano no ensino de programação básica / Projeto Novos 4.0 project: critical pedagogy, active methodologies and human development in basic programming teaching

open access: yesTexto Livre: Linguagem e Tecnologia, 2020
RESUMO:Este artigo traz um estudo de caso sobre o Projeto Novos Rumos 4.0, executado em Foz do Iguaçu/PR, pelo Parque Tecnológico Itaipu – PTI-BR, no ano de 2018.
Kristian Sgorla   +2 more
doaj   +1 more source

MatchPy: A Pattern Matching Library

open access: yes, 2017
Pattern matching is a powerful tool for symbolic computations, based on the well-defined theory of term rewriting systems. Application domains include algebraic expressions, abstract syntax trees, and XML and JSON data.
Barthels, Henrik   +2 more
core   +1 more source

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