A5013589265- Water-Energy-Food Nexus Studies
- Flood Risk Assessment and Management
- Water resources management and optimization
- Energy and Environment Impacts
- Land Use and Ecosystem Services
- Evaluation Methods in Various Fields
- Quantum Dots Synthesis And Properties
- Hydrology and Drought Analysis
- Catalytic Processes in Materials Science
- Research studies in Vietnam
- Catalysis and Oxidation Reactions
- Organic Light-Emitting Diodes Research
- X-ray Diffraction in Crystallography
- Evaluation and Optimization Models
- Environmental Impact and Sustainability
- Advanced NMR Techniques and Applications
- Crystallization and Solubility Studies
- Energy, Environment, Economic Growth
- Conservation, Biodiversity, and Resource Management
- Gut microbiota and health
- Hydrology and Watershed Management Studies
- Disaster Management and Resilience
- Semiconductor Quantum Structures and Devices
- Supply Chain and Inventory Management
- ZnO doping and properties
Hangzhou Medical College
2020-2025
Shanghai Research Institute of Sports Science
2018-2025
Hohai University
2013-2024
Research Institute of Petroleum Exploration and Development
2019-2024
Tongji University
2022-2024
China University of Geosciences (Beijing)
2019-2024
Qilu Hospital of Shandong University
2016-2024
Yunnan Academy of Agricultural Sciences
2016-2024
Wuhu Institute of Technology
2024
Xidian University
2024
Abstract TP53 mutation is one of the most common genetic changes in hepatocellular carcinoma (HCC). It great clinical significance to tailor specialized prognostication approach and explore more therapeutic options for TP53-mutant HCCs. In this study, a total 1135 HCC patients were retrospectively analyzed. We developed random forest-based prediction model estimate mutational status, tackling problem limited sample size A multi-step process was performed develop robust poor...
The Yangtze River Delta (YRD) is one of the most developed regions in China. This also a flood-prone area where flood disasters are frequently experienced; situations between people–land nexus and people–water very complicated. Therefore, accurate assessment risk great significance to regional development. paper took YRD urban agglomeration as research case. driving force, pressure, state, impact response (DPSIR) conceptual framework was established analyze indexes disasters. random forest...
Understanding the coordinative relationship between urbanization and ecosystem services (ESs) has a great significance in sustainable development urban agglomeration. In this paper, InVEST model was firstly used to assess spatio-temporal evaluation of four types ESs (water yield, carbon storage, soil retention nitrogen export) Yangtze River Delta Urban Agglomerations (YRDUA) China from 2000 2020. Then comprehensive index system established multi-dimensions economy, population land analyze...
The coupling and coordination development of the environment economy (CC2E) is one most vital issues to sustainable development. This paper adopted model, projection pursuit algorithm, random forest model explore spatial-temporal evolution influencing factors CC2E in Yangtze River Delta from 2015 2019, respectively. results showed that: (1) degree (DCC) cities has risen primary intermediate coordination. (2) In spatial perspective, distribution DCC correlated with geographical location....
With global climate change and continuous urbanization exacerbating floods, urban flood resilience (UFR) has become a key to cope with floods. However, few studies target frameworks of UFR assessment at the agglomeration scale over longer time span. This study, taking Yangtze River Delta as case developed an evaluation framework detail building final index system UFR, analyze UFR's driving factors spatiotemporal features based on SSA-PP-KL-TOPSIS (projection pursuit sparrow search...
Water is a fundamental and crucial natural resource for human survival. However, the global demand water increasing, leading to subsequent decrease in availability. This study addresses critical need improved forecasting models amidst scarcity concerns exacerbated by climate change. uses best weather model sustainable development. Employing Recurrent Neural Network–Long Short-Term Memory (RNN-LSTM) approach, research enhances drought prediction capabilities integrating secondary data of...
Drought is part of natural climate variability and ranks the first disaster in world. forecasting plays an important role mitigating impacts on agriculture water resources. In this study, a drought forecast model based random forest method proposed to predict time series monthly standardized precipitation index (SPI). We demonstrate application by four stations Haihe river basin, China. The random‐forest‐ (RF‐) has consistently shown better predictive skills than ARIMA for both long short...
The research on urban flood resilience will contribute to building a more resilient city and provide valuable reference for municipal decision-makers. There are many frameworks approaches empirical studies what constitutes how evaluate it. In this study, typical region suffering from disaster in China-Jiangsu Province was selected as the study area, including 13 prefecture-level cities. pressure-state-response (PSR) framework, projection pursuit based real-coded accelerated genetic algorithm...
Short-chain fatty acids (SCFAs) exhibit anticancer activity in cellular and animal models of colon cancer. Acetate, propionate, butyrate are the three major SCFAs produced from dietary fiber by gut microbiota fermentation have beneficial effects on human health. Most previous studies antitumor mechanisms focused specific metabolites or genes involved pathways, such as reactive oxygen species (ROS) biosynthesis. In this study, we performed a systematic unbiased analysis acetate, ROS levels...
Objective The objective of this study is to investigate the causal relationship between gut microbiota and juvenile idiopathic arthritis, identify quantify potential role plasma metabolites as mediators. Methods Using summary-level data from genome-wide association studies, a two-sample Mendelian randomization was conducted involving 131 genus, 1,400 metabolites, arthritis. Additionally, two-step approach employed proportion effect on arthritis mediated by metabolites. Effect estimation...
With the global climate change, drought disasters occur frequently. Drought prediction is an important content for disaster management, planning and management of water resource systems a river basin. In this study, short‐term model based on deep belief networks (DBNs) proposed to predict time series different time‐scale standardized precipitation index (SPI). The DBN applied in Huaihe River Basin, China. Compared with BP neural network, DBN‐based has shown better predictive skills than...
Triboelectric nanogenerators (TENGs) have been in spotlight for their excellent capability to drive miniature electronics.
ABSTRACT Objective To establish sex‐ and sport‐specific reference intervals (RIs) for the neutrophil‐to‐lymphocyte ratio (NLR), platelet‐to‐lymphocyte (PLR), systemic immune‐inflammation index (SII) in athletes. Methods A retrospective study analyzed 13,647 entries from elite athletes (2018–2024), categorized by sex six sport types. RIs were developed using a training set (9555 entries) validated with separate (4092 entries). The defined 2.5th 97.5th percentiles of distribution. Results...