A5101865297- Power System Optimization and Stability
- Fish Ecology and Management Studies
- Optimal Power Flow Distribution
- Hydrology and Watershed Management Studies
- Underwater Vehicles and Communication Systems
- Water-Energy-Food Nexus Studies
- Context-Aware Activity Recognition Systems
- Ultrasound and Hyperthermia Applications
- Hydrology and Sediment Transport Processes
- Human Pose and Action Recognition
- Water resources management and optimization
- Power System Reliability and Maintenance
- Underwater Acoustics Research
- Indoor and Outdoor Localization Technologies
- Water Quality Monitoring Technologies
- Smart Grid Energy Management
- Generative Adversarial Networks and Image Synthesis
- Fish Biology and Ecology Studies
- Advanced Sensor and Energy Harvesting Materials
- Non-Invasive Vital Sign Monitoring
- Nanoparticle-Based Drug Delivery
- Electric Power System Optimization
- Luminescence and Fluorescent Materials
- Energy Load and Power Forecasting
- Advanced SAR Imaging Techniques
Suzhou University of Science and Technology
2025
Dalian Medical University
2020-2025
Chongqing Medical University
2020-2025
Second Affiliated Hospital of Chongqing Medical University
2020-2025
Shandong University
2023-2024
Harbin Engineering University
2024
Pacific Northwest National Laboratory
2013-2023
Xiamen University
2020-2022
Baotou Research Institute of Rare Earths
2022
Nanjing University of Posts and Telecommunications
2021
Abstract. Human water withdrawal has increasingly altered the global cycle in past decades, yet our understanding of its driving forces and patterns is limited. Reported historical estimates sectoral withdrawals are often sparse incomplete, mainly restricted to available at annual country scales, due a lack observations seasonal local scales. In this study, through collecting consolidating various sources reported data developing spatial temporal statistical downscaling algorithms, we...
Abstract Mechanoluminescence (ML) is one of the most important routes to realize remote sensing stress distribution, but has never been used in temperature sensing. Traditionally, and are separately realized through different methods multifunctional sensors, which definitely makes structure more complicated. In this work, stress–temperature dual‐modal proposed by using double‐lanthanide‐activated ML material SrZnSO:Tb,Eu, where read integral intensity displayed green red emission ratio ( I...
Proportionally converting the applied mechanical energy into photons by individual mechanoluminescent (ML) micrometer-sized particles opens a new way to develop intelligent electronic skins as it promises high-resolution stress distribution visualization and fast response. However, big challenge for ML sensing technology is its low sensitivity in detecting stress. In this work, novel sensor with detection enhanced two orders of magnitude developed combining proposed near-distance imaging...
Abstract Future changes in climate and socioeconomic systems will drive both the availability use of water resources, leading to evolutions scarcity. The contributions can be quantified individually understand impacts around world, but also combined explore how coevolution energy-water-land affects not only driver behind scarcity changes, human interact tandem alter Here we investigate relative on under Shared Socioeconomic Pathways-Representative Concentration Pathways framework. While...
Mechanoluminescent (ML) materials with the characteristics of photon emission under mechanical stimulation show broad application prospects in building structural health diagnosis, biomechanical engineering, and wearable devices. However, existing ML cannot fully meet requirements different stress sensing applications due to limited understanding structure mechano-to-photon conversion mechanism materials. Herein, we report novel excellent self-recoverable performance family mixed-anion...
As power systems are undergoing a significant transformation with more uncertainties, less inertia and closer to operation limits, there is increasing risk of large outages. Thus, an imperative need enhance grid emergency control maintain system reliability security. Towards this end, great progress has been made in developing deep reinforcement learning (DRL) based solutions recent years. However, existing DRL-based have two main limitations: 1) they cannot handle well wide range...
Abstract: The interaction in a drug combination can be assessed using either the method of Chou or Jin’s method. index former (i.e., CI-C) is calculated based on doses, while latter CI-J) effects. This perspective demonstrates correlation between 1/CI-C and CI-J when applied to both released simulated data. Thus, are functionally equivalent for evaluating interaction. Combining these two indices preferred; consistency shows reliable verdict, inconsistency indicates requirement further...
With the ability to simulate historical and future global water availability on a monthly time step at spatial resolution of 0.5 geographic degree, Python package Xanthos version 1 provided solid foundation for continuing advancements in dynamics science. The goal 2 was build upon previous investments by creating framework where core components model (potential evapotranspiration (PET), runoff generation, river routing) could be interchanged or extended without having start from scratch....
Xanthos is an open-source hydrologic model, written in Python, designed to quantify and analyse global water availability. simulates historical future availability on a monthly time step at spatial resolution of 0.5 geographic degrees. was be extensible used by scientists that study supply work with the Global Change Assessment Model (GCAM). uses user-defined configuration file specify model inputs, outputs parameters. has been tested using actual data sets able provide observations...
Machine learning classification and regression algorithms were applied to calibrate the localization errors of a time-difference-of-arrival (TDOA)-based acoustic sensor array used for tracking salmon passage through hydroelectric dam on Snake River, Washington, USA. The locations stationary mobile tags first tracked using approximate maximum likelihood algorithm. Next, ensembles trees successfully identified filtered data points with large errors. This prefiltering step allowed creation...
Downscaling of water withdrawals from regional/national to local scale is a fundamental step and also common problem when integrating large economic integrated assessment models with high-resolution detailed sectoral models. Tethys, an open-access software written in Python, developed statistical downscaling algorithms, spatially temporally downscale withdrawal data finer scale. The spatial resolution will be downscaled region/basin grid (0.5 geographic degree) the temporal year month....
Load shedding has been one of the most widely used and effective emergency control approaches against voltage instability. With increased uncertainties rapidly changing operational conditions in power systems, existing methods have outstanding issues terms either speed, adaptiveness, or scalability. Deep reinforcement learning (DRL) was regarded adopted as a promising approach for fast adaptive grid stability recent years. However, DRL algorithms show two when being applied to system...
Deriving generation dispatch is essential for efficient and secure operation of electric power systems. This usually achieved by solving a security-constrained optimal flow (SCOPF) problem, which nature non-convex, nonlinear thus computationally intensive. The state-of-the-art optimization approaches are not able to solve this problem large-scale systems within the system time window (usually 5 minutes). In work, we developed supervised learning determine much shorter window. More...
Prodrug–carboxypeptidase G2 (e.g., ZD2767P+CPG2) can realize a targeted treatment where the specific advantage is lack of CPG2 analogues in humans, but it limited by low efficacy. Here ultrasound was employed to enhance ZD2767P+CPG2 (i.e., ZD2767P+CPG2+US) against chemoresistant human ovarian cancer cells. The release dynamics ZD2767D (activated drug) were investigated. vitro efficacy explored SKOV3 and SKOV3/DDP (cisplatin-resistant subline) cells; spectrophotometry established quantify...
Turbine-passed fish are exposed to rapid decreases in pressure which can cause barotrauma. The presence of an implanted telemetry tag increases the likelihood injury or death from exposure changes, thus potentially biasing studies evaluating survival turbine-passed fish. Therefore, a neutrally buoyant externally attached was developed eliminate this bias turbine passage studies. This new designed not add excess mass water take up space coelom, having effective burden zero with goal reducing...