Results 41 to 50 of about 746,368 (310)
Unraveling Fundamental Properties of Power System Resilience Curves using Unsupervised Machine Learning [PDF]
arXiv, 2023 The standard model of infrastructure resilience, the resilience triangle, has been the primary way of characterizing and quantifying infrastructure resilience. However, the theoretical model merely provides a one-size-fits-all framework for all infrastructure systems. Most of the existing studies examine the characteristics of infrastructure resilience
arxiv
Frontiers in Surgery, 2022 BackgroundThe incidence of hepatic artery thrombosis in pediatric living donor liver transplantation (LDLT) is significantly higher than that in adults, and is closely related to the surgeon’s experience with hepatic artery anastomosis.
Wanyi Zhou +5 more
doaj +1 more source
Revisiting the learning curve (once again)
Frontiers in Psychology, 2013 The vast majority of published work in the field of associative learning seeks to test the adequacy of various theoretical accounts of the learning process using average data.
Steven eGlautier
doaj +1 more source
Molecular Oncology, EarlyView.The number of circulating tumor cells obtained from prostate cancer patients was increased approximately 5‐fold compared to regular CellSearch when processing 2 mL diagnostic leukapheresis material aliquots and increased by 44‐fold when processing 20 mL DLA aliquots using the flow enrichment target capture Halbach‐array.
Michiel Stevens +8 more
wiley +1 more source
Vascular endothelial‐cadherin as a marker of endothelial injury in preclinical Alzheimer disease
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1926-1940, December 2022., 2022 Abstract Objective Endothelial dysfunction is an early and prevalent pathology in Alzheimer disease (AD). We here investigate the value of vascular endothelial‐cadherin (VEC) as a cerebrospinal fluid (CSF) marker of endothelial injury in preclinical AD.
Rawan Tarawneh +5 more
wiley +1 more source
Learning curve for radical retropubic prostatectomy
International Brazilian Journal of Urology, 2011 PURPOSE: The learning curve is a period in which the surgical procedure is performed with difficulty and slowness, leading to a higher risk of complications and reduced effectiveness due the surgeon's inexperience.
Fernando J. A. Saito +5 more
doaj +1 more source
Frontiers in Surgery, 2022 BackgroundA series of full-endoscopic lumbar interbody fusions have been reported, but special fusion cages or operating instruments are often needed, and there are many complications in the operation and the learning curve is long. We have used a single
Yu Du +8 more
doaj +1 more source
Learning Curves for Analysis of Deep Networks [PDF]
arXiv, 2020 Learning curves model a classifier's test error as a function of the number of training samples. Prior works show that learning curves can be used to select model parameters and extrapolate performance. We investigate how to use learning curves to evaluate design choices, such as pretraining, architecture, and data augmentation.
arxiv
Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors
Molecular Oncology, EarlyView.Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi +6 more
wiley +1 more source
Learning curve for single-port robot-assisted colectomy [PDF]
Annals of ColoproctologyPurpose Since the introduction of robotic surgery, robots for colorectal cancer have replaced laparoscopic surgery, and a single-port robot (SPR) platform has been launched and is being used to treat patients.
Moon Suk Choi +8 more
doaj +1 more source