Results 131 to 140 of about 39,551 (316)

Association between RoPE score and PFO grading on bubble echocardiography in cryptogenic stroke patients: a retrospective cohort study. [PDF]

Front Stroke
Rahman S, Hendrickson E, Henderson J, McGrath S, Mekhaimar A, Mathi K, Hudson J, Sargent R, Clapp B.   +8 more
europepmc   +1 more source

Research on multiloop magnetic detection methodfor steel wire rope detection

, 2018
Tian Jie, Zhou Junying, Hongyao Wang, Dongjun Li, Siqi Cheng, Han Xu, Miao Wu   +6 more
openalex   +2 more sources

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

Auditory-conceptual associations in Peter and the Wolf and Carnival of the Animals: Evidence from 6- to 9-year-old children. [PDF]

Psychon Bull Rev
Di Stefano N, Ansani A, Focaroli V, Borsella R, Formenti G, Velardi A, Schiavio A, Spence C.   +7 more
europepmc   +1 more source

MAVEN Survey of Magnetic Flux Rope Properties in the Martian Ionosphere: Comparison With Three Types of Formation Mechanisms

, 2021
C. F. Bowers, J. A. Slavin, G. A. DiBraccio, Gangkai Poh, Takuya Hara, Shaosui Xu, D. A. Brain   +6 more
openalex   +1 more source

Predicting Postresection Colorectal Liver Metastases Recurrence Using Advanced Graph Neural Networks with Explainability and Causal Inference

Advanced Intelligent Systems, EarlyView.
This study introduces a framework that combines graph neural networks with causal inference to forecast recurrence and uncover the clinical and pathological factors driving it. It further provides interpretability, validates risk factors via counterfactual and interventional analyses, and offers evidence‐based insights for treatment planning ...
Jubair Ahmed, Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Sami Azam   +3 more
wiley   +1 more source

Directly observing the magnetic rope contraction and expansion in space. [PDF]

Nat Commun
Fu HS, Zhang WZ, Cao JB, Wang Z, Russell CT, Pollock CJ, Teh WL, Burch JL.   +7 more
europepmc   +1 more source

The rope passing method for repair of petrochemical pipelines with spiral flow.

, 1990
Kiyoshi HORII, Yuji Matsumae, Xiao Ming CHENG, Eiji Yasukawa, Masahiro Takei, Bunsaku Hashimoto   +5 more
openalex   +2 more sources

From Next Generation Sequence to the Phenotype: Exploring the Bainbridge-Ropers Syndrome with Loss of Function Variants in ASXL3 [PDF]

, 2019
Silvina Contreras‐Capetillo, Melania Abreu-González   +1 more
openalex   +1 more source

RPSLearner: A Novel Approach Based on Random Projection and Deep Stacking Learning for Categorizing Non‐Small Cell Lung Cancer

Advanced Intelligent Systems, EarlyView.
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley   +1 more source