Publications by authors named "Xiangyun Xiong"
Article Synopsis
- * A study conducted in 2023 analyzed spatial variations in carbon flux in five coastal waters of the Guangdong-Hong Kong-Macau Greater Bay Area, finding significant geographical differences influenced by salinity and eutrophication.
- * Results indicated that the Pearl River is the primary contributor to carbon transport in the region, with emissions being linked to river inputs and economic activities, while carbon dynamics vary based on ecological conditions in these coastal waters.
Article Synopsis
- Scientists made special materials from fruit peels and vegetable waste to help treat dirty water from landfills more effectively.
- These materials helped remove more harmful chemicals and produced a lot more methane gas, which can be used for energy.
- The new materials also helped good bacteria grow better, which is important for breaking down waste and reducing greenhouse gases.
A significant reduction in carbon dioxide (CO) emissions caused by transportation is essential for attaining sustainable urban development. Carbon concentrations from road traffic in urban areas exhibit complex spatial patterns due to the impact of street configurations, mobile sources, and human activities. However, a comprehensive understanding of these patterns, which involve complex interactions, is still lacking due to the human perspective of road interface characteristics has not been taken into account.
View Article and Find Full Text PDFLow-grade hepatocellular carcinoma characteristics, a practical nomogram and risk stratification system: a SEER population-based study.
Expert Rev Gastroenterol Hepatol
December 2022
Background: The purpose of this study is to establish a nomogram and risk stratification system to predict OS in patients with low-grade HCC.
Research Design And Methods: Data were extracted from the SEER database. C-index, time-dependent AUCs, and calibration plots were used to evaluate the effective performance of the nomogram.
Background: The goal is to establish and validate an innovative prognostic risk stratification and nomogram in patients of hepatocellular carcinoma (HCC) with microvascular invasion (MVI) for predicting the cancer-specific survival (CSS).
Methods: 1487 qualified patients were selected from the Surveillance, Epidemiology and End Results (SEER) database and randomly assigned to the training cohort and validation cohort in a ratio of 7:3. Concordance index (C-index), area under curve (AUC) and calibration plots were adopted to evaluate the discrimination and calibration of the nomogram.
Background: Hepatocellular carcinoma (HCC) has the highest cancer-related mortality rate. This study aims to create a nomogram to predict the cancer-specific survival (CSS) in patients with advanced hepatocellular carcinoma.
Methods: Patients diagnosed with advanced HCC (AJCC stage III and IV) during 1975 to 2018 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database.
Objective: Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related deaths worldwide. This study aims to construct a novel practical nomogram and risk stratification system to predict cancer-specific survival (CSS) in HCC patients with severe liver fibrosis.
Methods: Data on 1,878 HCC patients with severe liver fibrosis in the period 1975 to 2017 were extracted from the Surveillance, Epidemiology, and End Results database (SEER).