Zobrazeno 1 - 10
of 307
pro vyhledávání: '"Cheng‐Chun Lee"'
Autor:
Cheng-Chun Lee, Lipai Huang, Federico Antolini, Matthew Garcia, Andrew Juan, Samuel D. Brody, Ali Mostafavi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Timely, accurate, and reliable information is essential for decision-makers, emergency managers, and infrastructure operators during flood events. This study demonstrates that a proposed machine learning model, MaxFloodCast, trained on physi
Externí odkaz:
https://doaj.org/article/b9de94c31408443e8782d15020a1e664
Publikováno v:
Current Oncology, Vol 30, Iss 3, Pp 3206-3216 (2023)
Several studies have shown that liver resection (LR) confers better survival outcomes in intermediate- and advanced-stage hepatocellular carcinoma (HCC) patients. However, the postoperative recurrence rate is high, and little is known about the survi
Externí odkaz:
https://doaj.org/article/62be185685e34083bf5a7fc467b1bc0f
Autor:
Faxi Yuan, Cheng-Chun Lee, William Mobley, Hamed Farahmand, Yuanchang Xu, Russell Blessing, Shangjia Dong, Ali Mostafavi, Samuel D. Brody
Publikováno v:
Computational Urban Science, Vol 3, Iss 1, Pp 1-16 (2023)
Abstract The objective of this study is to predict road flooding risks based on topographic, hydrologic, and temporal precipitation features using machine learning models. Existing road inundation studies either lack empirical data for model validati
Externí odkaz:
https://doaj.org/article/9fe750a8adfa429197bf4a1a973f2fe5
Publikováno v:
Humanities & Social Sciences Communications, Vol 9, Iss 1, Pp 1-12 (2022)
Abstract Aggregated community-scale data could be harnessed to provide insights into the disparate impacts of managed power outages, burst pipes, and food inaccessibility during extreme weather events. During the winter storm that brought historicall
Externí odkaz:
https://doaj.org/article/fe79ce92a7824299999b91349f322ed5
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract The objectives of this study are: (1) to specify evacuation return and home-switch stability as two critical milestones of short-term recovery during and in the aftermath of disasters; and (2) to understand the disparities among subpopulatio
Externí odkaz:
https://doaj.org/article/25d5e0f07aa84ccb828ac7d317b0d26b
Autor:
Chao-Yang Kuo, Cheng-Chun Lee, Yuh-Lin Lee, Shueh-Chun Liou, Jia-Cheng Lee, Emily Chia-Yu Su, Yi-Wei Chen
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0252634 (2021)
[This corrects the article DOI: 10.1371/journal.pone.0247597.].
Externí odkaz:
https://doaj.org/article/f98a28a12d884e579d6a3932350d2e64
Autor:
Chao-Yang Kuo, Cheng-Chun Lee, Yuh-Lin Lee, Shueh-Chun Liou, Jia-Cheng Lee, Emily Chia-Yu Su, Yi-Wei Chen
Publikováno v:
PLoS ONE, Vol 16, Iss 2, p e0247597 (2021)
This study aimed to investigate the possible incidence of visual light perceptions (VLPs) during radiation therapy (RT). We analyzed whether VLPs could be affected by differences in the radiation energy, prescription doses, age, sex, or RT locations,
Externí odkaz:
https://doaj.org/article/fe98c7b1039d4f8db16bb96b81d046c7
Autor:
Faxi Yuan, Chao Fan, Hamed Farahmand, Natalie Coleman, Amir Esmalian, Cheng-Chun Lee, Flavia I Patrascu, Cheng Zhang, Shangjia Dong, Ali Mostafavi
Publikováno v:
Environmental Research: Infrastructure and Sustainability, Vol 2, Iss 2, p 025006 (2022)
Smart resilience is the beneficial result of the collision course of the fields of data science and urban resilience to flooding. The objective of this study is to propose and demonstrate a smart flood resilience framework that leverages heterogeneou
Externí odkaz:
https://doaj.org/article/82334e208e6b46b397087ddd980ef02b
Autor:
Cheng-Chun Lee, Kuang-Hsi Chang, Feng-Mao Chiu, Yen-Chuan Ou, Jen-I. Hwang, Kuan-Chun Hsueh, Hueng-Chuen Fan
Publikováno v:
Diagnostics, Vol 11, Iss 12, p 2340 (2021)
The intravoxel incoherent motion (IVIM) model may enhance the clinical value of multiparametric magnetic resonance imaging (mpMRI) in the detection of prostate cancer (PCa). However, while past IVIM modeling studies have shown promise, they have also
Externí odkaz:
https://doaj.org/article/99462702759b4c728aa5e70e5f94fdcf
Publikováno v:
Biomolecules, Vol 11, Iss 3, p 477 (2021)
Small cell lung cancer (SCLC) is a particularly aggressive tumor subtype, and dihydroorotate dehydrogenase (DHODH) has been demonstrated to be a therapeutic target for SCLC. Network pharmacology analysis and virtual screening were utilized to find ou
Externí odkaz:
https://doaj.org/article/301f432d38104dd2afd5b0bf430f732b