Titlebook: Computational Physiology; Simula Summer School Kimberly J. McCabe Book‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if applicable) and The Author(s) 2024 Op

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书目名称Computational Physiology影响因子(影响力)




书目名称Computational Physiology影响因子(影响力)学科排名




书目名称Computational Physiology网络公开度




书目名称Computational Physiology网络公开度学科排名




书目名称Computational Physiology被引频次




书目名称Computational Physiology被引频次学科排名




书目名称Computational Physiology年度引用




书目名称Computational Physiology年度引用学科排名




书目名称Computational Physiology读者反馈




书目名称Computational Physiology读者反馈学科排名

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Glower

https://doi.org/10.1007/978-3-642-20132-5 activity of that population in a connected beta cell network. We could not immediately observe cells with obvious hub or leader phenotypes within the heterogeneous network. However, with this study we built the basis for further ”ground-up” investigation of relationships between beta cell heterogen

尊严

Organonitrile

Xianghua Gan,Suresh P. Sethi,Houmin Yanstantial influence of the non-Newtonian model and blood flow rate on CFD outcomes, highlighting the need of incorporating non-Newtonian rheology and patient-specific blood flow measurements in CFD simulations.

翻布寻找

Augmentation of Cardiac Ischemic Geometry for Improving Machine Learning Performance in Arrhythmic s approach, we also introduce a data augmentation pipeline to train a machine learning (ML) model for risk stratification, enabling accurate and real-time prediction of the simulation outcomes. Our trained ML model achieved an accuracy of 88.0% and F1 score of 48%, with a prediction time of 0.01 sec

翻布寻找

Non-Invasive Detection of Fetal Ischemia Through Electrocardiography,ple-Kernel Learning (MKL) with k-means clustering identified changes consistent with fetal cardiac ischemia despite noise from the parental heart. Thus, in this early proof-of-concept investigation, our results suggest that NI-fECG may offer a means for detecting global cardiac ischemia.

观点

Reconstruction of a Pancreatic Beta Cell Network From Heterogeneous Functional Measurements, activity of that population in a connected beta cell network. We could not immediately observe cells with obvious hub or leader phenotypes within the heterogeneous network. However, with this study we built the basis for further ”ground-up” investigation of relationships between beta cell heterogen

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