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820 results on '"Li, Yanchao"'

1. Green's Function and Pointwise Space-time Behaviors of the Three-Dimensional Relativistic Boltzmann Equation

Author

Li, Yanchao and Zhong, Mingying

Subjects
Mathematics - Analysis of PDEs, 76P05, 82C40, 82D05
Abstract

The pointwise space-time behavior of the Green's function of the three-dimensional relativistic Boltzmann equation is studied in this paper. It is shown that the Green's function has a decomposition of the macroscopic diffusive waves and Huygens waves with the speed $\sqrt{a^2+b^2}$ at low-frequency, the singular kinetic wave and the remainder term decaying exponentially in space and time. In addition, we establish the pointwise space-time estimate of the global solution to the nonlinear relativistic Boltzmann equation with non-smooth initial data based on the Green's function., Comment: arXiv admin note: text overlap with arXiv:2303.13021

Published
2024

6. Green's Function and Pointwise Behaviors of the One-Dimensional modified Vlasov-Poisson-Boltzmann System

Author

Li, Yanchao and Zhong, Mingying

Subjects
Mathematics - Analysis of PDEs
Abstract

The pointwise space-time behaviors of the Green's function and the global solution to the modified Vlasov- Poisson-Boltzmann (mVPB) system in one-dimensional space are studied in this paper. It is shown that, the Green's function admits the diffusion wave, the Huygens's type sound wave, the singular kinetic wave and the remainder term decaying exponentially in space-time. These behaviors are similar to the Boltzmann equation (Liu and Yu in Comm. Pure Appl. Math. 57: 1543-1608, 2004). Furthermore, we establish the pointwise space-time nonlinear diffusive behaviors of the global solution to the nonlinear mVPB system in terms of the Green's function.

Published
2023
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7. Impact of Airway Stepwise Management Strategy on Hospital Acquired Pneumonia in the Ultra Elderly Critically Ill Patients

Author

LU Meishan, WANG Xinbo, ZHANG Hongmin, HU Zhenzhen, LI Yanchao, LI Jiayong, HU Haoqi, and WANG Xiaoting

Subjects
airway stepwise management, ultra elderly, critical care medicine, hospital acquired pneumonia, Medicine
Abstract

ObjectiveTo explore the impact of an airway stepwise management strategy in the treatment of hospital acquired pneumonia (HAP) in the ultra elderly critically ill patients.MethodsClinical data on the ultra eldely(≥80 years old) HAP patients at the department of Critied Care Medicine, Peking Union Medical College Hospital from January 2021 to April 2023 was retrospective collected, and the enrolled patients were divided into an observation group (January 2022-April 2023) and control group (January 2021-December 2021) according to the airway stepwise management strategy. In the control group, conventional airway manage- ment was used, and in the observation group, an airway stepwise management strategy from simple to complex and from noninvasive to invasive was used. The oxygenation indices before and after airway interventiont, tracheal intubation/tracheostomy rate, and invasive ventilator usage rate was compared in both groups.ResultsA total of 61 HAP patients who met the inclusion and exclusion criteria were selected, including 31 in the observation group and 30 in the control group. Compared with before airway intervention, the arterial partial pressure of carbon dioxide gradually decreased, arterial partial pressure of oxygen and oxygenation index gradually increased at 12 h, 48 h and 72 h of airway intervention(all P < 0.05). Compared with the control group, the observation group had lower arterial partial pressure of carbon dioxide, and higher arterial partial pressure of oxygen and oxygenation index(all P < 0.05), and the rate of tracheal intubation/incision (35.5% vs. 66.7%, P=0.015) and the rate of invasive ventilator use (41.9% vs. 73.3%, P=0.013) were lower in the observation group at 48 h of airway intervention.ConclusionsThe application of an airway stepwise management strategy in the ultra elderly HAP patients can significantly improve oxygenation status and reduce iatrogenic trauma.

Published
2024
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9. Improving the Reliability for Confidence Estimation

Author

Qu, Haoxuan, Li, Yanchao, Foo, Lin Geng, Kuen, Jason, Gu, Jiuxiang, and Liu, Jun

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Confidence estimation, a task that aims to evaluate the trustworthiness of the model's prediction output during deployment, has received lots of research attention recently, due to its importance for the safe deployment of deep models. Previous works have outlined two important qualities that a reliable confidence estimation model should possess, i.e., the ability to perform well under label imbalance and the ability to handle various out-of-distribution data inputs. In this work, we propose a meta-learning framework that can simultaneously improve upon both qualities in a confidence estimation model. Specifically, we first construct virtual training and testing sets with some intentionally designed distribution differences between them. Our framework then uses the constructed sets to train the confidence estimation model through a virtual training and testing scheme leading it to learn knowledge that generalizes to diverse distributions. We show the effectiveness of our framework on both monocular depth estimation and image classification., Comment: Accepted by ECCV 2022

Published
2022

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