Results 111 to 120 of about 8,409,785 (376)

GRB optical afterglow and redshift selection effects: The learning curve effect at work

open access: yes, 2008
We show how the observed gamma ray burst (GRB) optical afterglow (OA) and redshift distributions are changing in time from selection effects. For a subset of {\it Swift} triggered long duration bursts, we show that the mean time taken to acquire ...
Adler   +20 more
core   +1 more source

Analysis of the learning curve for beating heart, totally endoscopic, coronary artery bypass grafting [PDF]

open access: bronze, 2014
Nan Cheng   +5 more
openalex   +1 more source

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

Learning Curve for Transoral Endoscopic Thyroid Lobectomy

open access: yesOtolaryngology Head & Neck Surgery, 2018
Objective To define the learning curve for transoral endoscopic thyroidectomy via the vestibular approach (TOETVA). Study Design Case series with planned data collection. Setting Tertiary care academic hospital.
Christopher R. Razavi   +3 more
semanticscholar   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu   +14 more
wiley   +1 more source

Gaussian Process Regression with Mismatched Models [PDF]

open access: yes, 2001
Learning curves for Gaussian process regression are well understood when the `student' model happens to match the `teacher' (true data generation process). I derive approximations to the learning curves for the more generic case of mismatched models, and
Sollich, Peter
core   +1 more source

Colonoscopy learning curves for colorectal surgery fellow trainees: experiences with the 15-year colonoscopy training program [PDF]

open access: hybrid, 2018
Jung Ryul Oh   +10 more
openalex   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu   +10 more
wiley   +1 more source

Learning curve of stapled hemorrhoidopexy

open access: yesAsian Journal of Surgery, 2021
Min-Hsuan Yen   +2 more
doaj   +1 more source

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