Results 81 to 90 of about 858,221 (272)

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

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah   +7 more
wiley   +1 more source

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

Probabilistic Programming in Python using PyMC

open access: yes, 2015
Probabilistic programming (PP) allows flexible specification of Bayesian statistical models in code. PyMC3 is a new, open-source PP framework with an intutive and readable, yet powerful, syntax that is close to the natural syntax statisticians use to ...
Fonnesbeck, Christopher   +2 more
core   +2 more sources

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri   +7 more
wiley   +1 more source

Type inference for Python programming language

open access: yesТруды Института системного программирования РАН, 2018
The article presents type inference for programs written in Python programming language. At first, type inference algorithms for parametric polymorphism that were described in the scientific literature are reviewed.
I. E. Bronshteyn
doaj  

Experimental implementation of active models for programming education in university settings

open access: yesMundo Fesc
Traditional programming education faces challenges in developing algorithmic and logical thinking. To address this, active learning has been explored, directly engaging students in problem-solving.
Laura Julieth Ibatá Soto   +3 more
doaj   +1 more source

BoolSi: A Tool for Distributed Simulations and Analysis of Boolean Networks

open access: yesJournal of Open Research Software, 2020
We present BoolSi, an open-source cross-platform command line tool for distributed simulations of synchronous Boolean networks. It uses MPI standard to support execution on computational clusters, as well as parallel processing on a single computer ...
Vladyslav Oles, Anton Kukushkin
doaj   +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

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