- Spacecraft Dynamics and Control
- Statistical Methods and Inference
- Robotic Path Planning Algorithms
- Guidance and Control Systems
- Sparse and Compressive Sensing Techniques
- Distributed Control Multi-Agent Systems
- Advanced Optimization Algorithms Research
- Robotics and Sensor-Based Localization
- Aerospace Engineering and Control Systems
- Aerospace Engineering and Energy Systems
- Advanced Statistical Methods and Models
- COVID-19 Clinical Research Studies
- Statistical Methods in Clinical Trials
- Indoor and Outdoor Localization Technologies
- Space Satellite Systems and Control
- Advanced Causal Inference Techniques
- Advanced Control Systems Optimization
- UAV Applications and Optimization
- Optimization and Variational Analysis
- COVID-19 Impact on Reproduction
- Maritime Navigation and Safety
- Adaptive Control of Nonlinear Systems
- Transportation Planning and Optimization
- Underwater Vehicles and Communication Systems
- Smart Grid Energy Management
Hohai University
2022-2025
Purdue University West Lafayette
2019-2025
University of Nebraska Medical Center
2019-2025
China North Industries Group Corporation (China)
2025
Hebei University
2025
Chinese Research Academy of Environmental Sciences
2023-2024
Nanjing University of Information Science and Technology
2022-2024
Hebei Normal University
2019-2024
Collaborative Research Group
2024
Cohort (United Kingdom)
2024
Abstract Illegal wildlife trade is gaining prominence as a threat to biodiversity, but addressing it remains challenging. To help inform proactive policy responses in the face of uncertainty, 2018 we conducted horizon scan significant emerging issues. We built upon existing iterative scanning methods, using an open and global participatory approach evaluate rank issues from diverse range sources. Prioritized related three themes: developments biological, information, financial technologies;...
Background. Coronavirus disease 2019 (COVID-19) has resulted in significant morbidity and mortality solid organ transplant (SOT) recipients. The National COVID Cohort Collaborative was developed to facilitate analysis of patient-level data for those tested COVID-19 across the United States. Methods. In this study, we identified a cohort SOT recipients testing positive or negative (COVID+ COVID−, respectively) between January 1, 2020, November 20, 2020. Univariable multivariable logistic...
Phase-selective organogelators (PSOGs) are considered as a prospective tool for their application in oil spill remediation. However, the number of reports on PSOGs that can be used powder form prompt phase-selective gelation crude oils is still limited. In this study, series compounds with l-mandelic acid scaffold bearing different amino fragments have been prepared. Also, behaviors and properties these derivatives toward organic liquids, product oils, type Chinese were investigated via...
This paper examines an integrated path planning and power management problem for a solar-powered unmanned ground vehicle (UGV). The proposed method seeks to minimize the travel time of UGV through area known energy density by designing smooth, heuristically optimized allocating vehicle's among its electrical components, while harvests ambient along designed satisfy with mission's strict constraints. A scalar field is first established evaluate solar radiation at discrete locations. modified...
The Health Information Technology for Economic and Clinical Act of 2009 introduced the Meaningful Use program to incentivize adoption electronic health records (EHRs) in U.S. This study investigates disparities EHR interoperability between rural urban physicians context federal programs like Medicare Access CHIP Reauthorization 2015 21st Century Cures Act. A cross-sectional analysis was conducted using 2021 Quality Payment Program Experience Report Public File compare Promoting...
Aerosol transport flux LiDAR was used to observe heavy pollution events in Luohe City during January 2022 and combined with monitoring data of ground meteorological parameters conventional pollutants analyze the vertical optical properties aerosols, sources, causes pollution. Two (January 2nd–5th 13th–20th, 2022) were effectively monitored divided into four phases according PM2.5 concentrations relative humidity (RH). The results showed that all PM2.5/PM10 values above 0.5 throughout...
Mixed-integer optimal control problems (MIOCPs) frequently arise in the domain of (OCPs) when decisions including integer variables are involved. However, existing state-of-the-art approaches for solving MIOCPs often plagued by drawbacks such as high computational costs, low precision, and compromised optimality. In this study, we propose a novel multiphase scheme coupled with an iterative second-order cone programming (SOCP) algorithm to efficiently effectively address these challenges...
In this paper, we examine optimization-based methods for designing the network topology when desired should have certain global variational properties, such as minimal power consumption information exchange links, or supporting fast convergence of consensus-based distributed protocols. We first classify methodology three distinct categories, namely, construction optimal non-geometric networks, time-invariant geometric and time-varying networks. then proceed to propose algorithms each class...
In this paper the problem of optimal path planning and power allocation for an Unmanned Aerial Vehicle (UAV) is explored. The UAV equipped with photovoltaic cells on top its wings energy sources are solar rechargeable batteries. Sun incidence angle cells, which subsequently affects harvesting, determined by attitude position. desired between two given boundary points, aimed at increasing amount storage final point. Meanwhile, charging state battery, resulting from allocation, needs to be...
Abstract Purpose Radiotherapy delivered at ultra‐high‐dose‐rates (≥40 Gy/s), that is, FLASH, has the potential to effectively widen therapeutic window and considerably improve care of cancer patients. The underlying mechanism FLASH effect is not well understood, commercial systems capable delivering such dose rates are scarce. purpose this study was perform initial acceptance commissioning tests an electron research product for preclinical studies. Methods A linear accelerator (Clinac 23EX)...
Stem cell therapy shows great potential in the treatment of neurodegenerative diseases, which efficient neural differentiation stem cells is still challenging.
Machine learning models are gradually replacing traditional techniques used for landslide susceptibility assessment. This study aims to comprehensively compare multiple models, including linear, nonlinear, and ensemble based on 5281 historical landslides in southwest China, the area most severely affected by disaster. Linear represented logistic regression (LR), nonlinear support vector machine (SVM), artificial neural network (ANN) classification 5.0 decision tree (C5.0 DT), random forest...
This paper presents the design, modeling, control, and experimental test of a solar-powered quadcopter to allow for long-endurance missions. We first present design large-scale that incorporates solar energy harvesting capabilities. Based on results, we built dynamical model customized with analysis aerodynamic influence. A feedback control system is developed takes into account wind disturbance verified in virtual simulation examples. All parameters used modeling simulations are based...
A Haar wavelet technique is discussed as a method for discretizing the nonlinear system equations optimal control problems. The used to transform state and variables into programming (NLP) parameters at collocation points. solver can then be solve problems that are rather general in form. Here, Bolza with constraints considered. Examples of two kinds problems, continuous discrete, solved. results compared those obtained by using other methods.