Results 101 to 110 of about 385,906 (307)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro +14 more
wiley +1 more source
Journal of Open Research Software, 2019 This paper describes the functioning and development of HeartPy: a heart rate analysis toolkit designed for photoplethysmogram (PPG) data. Most openly available algorithms focus on electrocardiogram (ECG) data, which has very different signal properties ...
Paul van Gent +3 more
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
A comparison of C, Matlab and Python as teaching languages in engineering [PDF]
, 2004 We describe and compare the programming languages C, MATLAB and Python as teaching languages for engineering students. We distinguish between two distinct phases in the process of converting a given problem into a computer program that can provide a ...
Lust, Kurt +14 more
core +1 more source
Arthritis Care &Research, EarlyView.Objective Cam morphology, which is a significant risk factor for hip osteoarthritis, is commonly quantified by the alpha angle (AA). This study aims to explore the potential of the triangular index ratio (TIR) to quantify cam morphology on anteroposterior radiographs by assessing the association between TIR‐defined cam morphology and the development of
Jinchi Tang +7 more
wiley +1 more source
Orange: data mining toolbox in Python [PDF]
, 2013 Orange is a machine learning and data mining suite for data analysis through Python scripting and visual programming. Here we report on the scripting part, which features interactive data analysis and component-based assembly of data mining procedures ...
Polajnar, Matija +15 more
core
Arthritis Care &Research, Accepted Article.Objective Youth who experience a sport‐related knee injury have elevated odds of overweight or obesity in 3‐10 years, compounding their risk for post‐traumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth in the 2‐year period ...
Justin M. Losciale +6 more
wiley +1 more source
A Python Module for FITS Files with full C Level Programming Functionality [PDF]
, 2013 A Python module for manipulating files in the FITS format is described. The module was constructed using the capabilites of ctypes to dynamically create foreign function interfaces from a C library.
Bond, Ian
core +1 more source
Experiences in Building Python Automation Framework for Verification and Data Collections [PDF]
, 2010 This paper describes our experiences in building a Python automation framework. Specifically, the automation framework is used to support verification and data collection scripts.
core +4 more sources
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source