A5005266780- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Neutrino Physics Research
- Hydrological Forecasting Using AI
- Nuclear physics research studies
- Black Holes and Theoretical Physics
- Hydrology and Drought Analysis
- Atomic and Subatomic Physics Research
- Particle Accelerators and Free-Electron Lasers
- Advanced Image and Video Retrieval Techniques
- Dark Matter and Cosmic Phenomena
- Image Retrieval and Classification Techniques
- Climate variability and models
- Environmental and Agricultural Sciences
- Soil erosion and sediment transport
- Advanced NMR Techniques and Applications
- Meteorological Phenomena and Simulations
- SARS-CoV-2 detection and testing
- Soil and Water Nutrient Dynamics
- Chemical Looping and Thermochemical Processes
- Thermochemical Biomass Conversion Processes
- Advanced biosensing and bioanalysis techniques
University of South China
2022-2025
China Institute of Water Resources and Hydropower Research
2016-2025
Tsinghua University
2007-2025
Ministry of Water Resources of the People's Republic of China
2016-2025
Hohai University
2024-2025
Sensor Electronics (United States)
2025
Cornell University
2024
Weill Cornell Medicine
2024
Bar-Ilan University
2024
Henan University
2023
Global vegetation greening trend stalled after the late 1990s due to increased atmospheric water demand.
The Mann-Kendall (MK) statistical test has been widely applied in the trend detection of hydrometeorological time series. Previous studies have mainly focused on null hypothesis "no trend" or "Type I Error". However, few address capability MK to successfully recognize trends. In some cases, especially when is jointly with hydropower station design, flood risk assessment, and water quality evaluation, II error" equally important should not be neglected. To cope this problem, we carry out...
Drought-flood abrupt alternation (DFAA), characterized by a period of persistent drought followed sudden heavy precipitation at certain level, has significant impacts on ecosystems and socioeconomic environment. As previous studies mainly focused the monthly scale regional scale, our study proposed multi-indicator daily-scale method for identifying DFAA occurrence. Then we applied exploring events over China from 1961 to 2018. The results show that: i) occurred in center southeast China. ii)...
ABSTRACT The fast‐flowing watershed is characterized by rapid runoff and confluence, posing challenges for accurate flood prediction. We introduce three forecasting model structures, namely GRU‐ED, LSTM‐FED, LSTM‐DSA to address this issue. Through application research in representative watersheds, we found that: First, as input information attenuates, the predictive ability of models may decline with an extended lead time. incorporation a feedback mechanism effectively addresses issue,...
Design of inhibitors with universal blocking activities for variants concern is highly demanded in fighting against the COVID-19 pandemic. We proposed an silico-aided design entry inhibitor peptides that block protein-protein interaction between SARS-CoV-2 receptor-binding domain (RBD) and human angiotensin-converting enzyme 2 (hACE2). First, we screened affinity by identifying hot spot residues hACE2 interact prototype RBD. Then, equipped sulfur(VI) fluoride exchange reaction modifications...
Hypoxia is a general event in solid tumor growth. Therefore, induced cellular responses by hypoxia are important for tumorigenesis and MicroRNAs (miRNAs) have recently emerged as regulators of responses. Here we report that miR-147a novel crucial miRNA. HIF-1α up-regulates the expression miR-147a, turn stabilizes accumulates protein via directly targeting HIF-3α, dominant negative regulator HIF-1α. Subsequent studies xenograft mouse model reveal capable inhibiting Collectively, these data...
Based on the VOSviewer software and bibliometric visualization analysis, with 4636 published papers from 2000 to 2021 included in Web of Science (WOS) Core Collection China National Knowledge Infrastructure (CNKI) database, this study reviewed literature effects droughts floods phosphorus through three aspects: publication date, keywords, distribution research discipline, etc. The results show that has risen rapidly recent 20 years, average annual literatures WOS database increased 18.44...
Quadruped robots have the potential to guide blind and low vision (BLV) people due their highly flexible locomotion emotional value provided by bionic forms. However, development of quadruped rarely involves BLV users' participatory designs evaluations. In this paper, we conducted two empirical experiments both in indoor controlled outdoor field scenarios, exploring benefits drawbacks robots. The results show that nowadays commercial exposed significant disadvantages usability trust compared...
Across the globe, flood control standards for reservoir engineering appear different due to various deciding factors such as features, society, economy, culture, morality, politics, and technology resources, etc. This study introduces an in-depth comparison of countries. After analysis, it is concluded that determination related grade, dam type, height, hazard downstream after dam-breaking, Each country should adopt practical according characteristics local engineering. The constitutive...
The present study aims at designing a thermosensitive gel prepared from w1/o/w2 multiple microemulsions (MMEs) for the vaginal delivery of siRNA. MMEs were by two-step emulsifications: first step was to prepare primary emulsions (w1/o) low energy emulsification (LEE); second obtain stable self-emulsifying. An extensive formulation optimization process undertaken. final could be formed in ddH2O, phosphate buffer solution (PBS, pH 7.4) and 1640 culture media with diameter size about 166.5 ±...
Abstract Research on ecosystem carbon flux can provide important methodological and strategic support for climate change mitigation. The existing studies focus the calculation of flux, ignoring intertwined effects between regions. quantification analysis interaction patterns is crucial understanding global cycle process, forecasting coping with change. In this study, network model sequences are established based complex theory using data spanning from December 1, 2005, to November 30, 2020....
Abstract. Flood forecasting plays a crucial role in supporting decision-making for flood management. In addition to conceptual and physical-based models, the data-driven models have garnered increasing attention recent years. The proposed model this study employs LSTM networks, Encoder-Decoder framework, as well feedback mechanism effectively utilize diverse observed data future rainfall inputs multiple time steps forecasting. accuracy reliability of been validated across case studies...