A5101413395- Fault Detection and Control Systems
- Climate variability and models
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Stochastic processes and financial applications
- Meteorological Phenomena and Simulations
- Anomaly Detection Techniques and Applications
- Cryospheric studies and observations
- Advanced Photocatalysis Techniques
- MXene and MAX Phase Materials
- Reliability and Maintenance Optimization
- Advanced Statistical Process Monitoring
- Conducting polymers and applications
- Perovskite Materials and Applications
- Flood Risk Assessment and Management
- Data-Driven Disease Surveillance
- Tropical and Extratropical Cyclones Research
- Rough Sets and Fuzzy Logic
- Hydrology and Watershed Management Studies
- Climate change and permafrost
- Advanced Biosensing Techniques and Applications
- Power Line Inspection Robots
- Photonic and Optical Devices
- Precipitation Measurement and Analysis
- Hydrological Forecasting Using AI
National University of Defense Technology
2025
Hunan University
2015-2024
Harbin Institute of Technology
2023-2024
Qingdao University of Science and Technology
2024
Henan Polytechnic University
2023-2024
Lanzhou University
2001-2023
Tsinghua University
2014-2022
Chongqing University
2022
China Southern Power Grid (China)
2021-2022
Shenzhen University
2022
Electron-transport-layer free perovskite solar cells (ETL-free PSCs) have attracted great attention due to their low cost and simple manufacturing process. However, an additional interface layer has be introduced, the currently achieved efficiency remains far from full-structure PSCs. Here, we report in situ engineering strategy by methylammonium acetate (MAAc) ionic liquid precursor. We found that a dipole was constructed through physical adsorption of residual MAAc polar molecules on...
Chemically synthetic receptors that establish cells a new sense-and-respond capability to interact with outer worlds are highly desired, but rarely reported. In this work, we develop membrane-anchored receptor (Ts-pHLIP-Pr) using DNA and peptide as the building block equip artificial signaling pathways. Upon sensing external pH stimuli, Pr module can be translocated across cell membrane via conformation switch of pHLIP, enabling membrane-proximal recruitment specific proteins trigger...
The midstream of the Hei River Basin (HRB). study investigated changes in hydrological elements at different time scales basin from 1982 to 2020. We used Budyko coupled balance equation quantitatively assess contributions climate change and human activity-induced land surface runoff during periods. In addition, driving factors flow consumption within were analyzed using wavelet coherence generalized additive model (GAM). Prior 2001, there was a significant decrease annual-scale midstream....
Abstract This paper presents a new water and energy budget‐based glacier mass balance model. Enthalpy, rather than temperature, is used in the equations to simplify computation of transfers through phase change movement liquid snow. A parameterization for albedo estimation state‐of‐the‐art schemes rainfall/snowfall type identification surface turbulent heat flux calculations are implemented model was driven with meteorological data evaluated using collected during field experiment ablation...
Abstract Weather Research and Forecasting (WRF) simulations with different selections of subgrid orographic drag over the Tibetan Plateau have been evaluated observation ERA‐Interim reanalysis. Results show that schemes, especially turbulent form (TOFD) scheme, efficiently reduce 10 m wind speed bias RMS error respect to station measurements. With combination gravity wave, flow blocking TOFD is simulated more realistically than individual schemes only. Improvements are also seen in 2 air...
Aptamers are emerging as promising molecular tools in cancer-targeted theranostics. Improving their vivo stability has been a critical issue promoting clinical translation, but such efforts could lead to more serious side effects resulting from prolonged retention healthy organs. To address this problem, we developed an environment-responsive stabilization strategy for the selective enhancement of aptamer biostability tumor microenvironment (TME). Briefly, by means end extension...
The subtypes of hematological malignancies (HM) with minimal molecular profile differences display an extremely heterogeneous clinical course and a discrepant response to certain treatment regimens. Profiling the surface protein markers offers potent solution for precision diagnosis HM by differentiating among cancer cells. Herein, we report use Cell-SELEX technology generate panel high-affinity aptamer probes that are able discriminate subtle profiles between different Experimental results...
We illustrate that the surface plasmon polariton (SPP) excitation through prism coupling method is fundamentally limited by destructive interference of spatial light components. propose can be canceled out tailoring relative phase for different wave-vector As a numerical demonstration, we show modulation excited SPP field concentrated to hot energy spot, and intensity dramatically enhanced about three-fold in comparison with conventional Gaussian beam illumination. The proposed phase-shaped...
In this paper, we put forward an asynchronous spiking neural network (SNN) accelerator with 1024 neurons and 1 million synapses, which is reconfigurable in terms of connection neuron parameters. Bundled data circuits are adopted to design the neuromorphic computation core mesh network. Multicast communication used transmit packet among within each for less transmission better energy efficiency. A novel time step update mechanism, updates event-driven manner without considering chip-wide...
Thermoelectric NaCo2 O4 /TiO2 coaxial nanofibers are prepared and distributed in the perovskite solar cells. Under illumination, p-type can convert unwanted heat to thermal voltage, thus promote electron extraction transport with action of electrostatic force. These advantages collectively contribute an overall power conversion efficiency improvement ≈20% (15.14% vs 12.65%).
Based on observational precipitation at 63 stations in South China and NCEP–NCAR reanalysis data during 1951–2010, a cluster analysis is performed to classify large-scale circulation patterns responsible for persistent extremes (PPEs) that are independent of the influence tropical cyclones (TCs). Conceptual schematics depicting configurations among planetary-scale systems different levels established each type. The PPEs free from TCs account 38.6% total events, they tend occur April–August...
Intentional islanding is an effective approach to avoid large‐area blackouts and minimize outage losses through making full use of renewable energy sources. This paper proposes a novel strategy based on node electrical relevance artificial bee colony algorithm. The defined with equivalent distance traditional line weight, which can reflect the characteristics power systems, differentiating proposed from most existing strategies are graph theory. (ABC) algorithm employed has fewer control...
AbstractWith the rapid development of sensor and communication technology, multi-sensor data is available to monitor degradation complex systems predict failure modes. However, two huge challenges remain be resolved: (i) how modes with limited mode labeled alleviate heavy dependence on expert experience; (ii) effectively fuze useful information from achieve an accurate estimation status automatically. To address these issues, we propose a novel semi-supervised prognostic model for partially...
In practical industrial applications, the need for a large number of accurately labeled training samples is significant challenge fault detection tasks. However, labeling all expensive and prone to errors, especially early wind turbine blades. This article proposes bias hypothesis. Assuming labeler only needs label parts normal that are easy judge, we design probability ratio least-squares importance fitting (PRL-SIF) method based on variable homogeneity. Unlike other state-of-the-art...
We propose a probabilistic model for clustering spatially correlated functional data with multiple scalar covariates. The motivating application is to partition the 29 provinces of Chinese mainland into few groups characterized by epidemic severity COVID-19, while spatial dependence and effects risk factors are considered. It can be regarded as an extension mixture models, which allows different subsets covariates influence component weights densities modeling parameters functions In this...