A5100764899- Meteorological Phenomena and Simulations
- Climate variability and models
- Wind and Air Flow Studies
- Oceanographic and Atmospheric Processes
- Photonic and Optical Devices
- Membrane Separation Technologies
- Precipitation Measurement and Analysis
- Semiconductor Lasers and Optical Devices
- Atmospheric aerosols and clouds
- Semiconductor Quantum Structures and Devices
- Atmospheric chemistry and aerosols
- Membrane-based Ion Separation Techniques
- Atmospheric and Environmental Gas Dynamics
- Cryospheric studies and observations
- Membrane Separation and Gas Transport
- Direction-of-Arrival Estimation Techniques
- Fuzzy Logic and Control Systems
- Stability and Control of Uncertain Systems
- biodegradable polymer synthesis and properties
- Speech and Audio Processing
- Indoor and Outdoor Localization Technologies
- Plant Water Relations and Carbon Dynamics
- Tropical and Extratropical Cyclones Research
- Hydrological Forecasting Using AI
- Advanced Battery Technologies Research
Fuzhou University
2015-2025
Jilin University
2010-2025
University of Twente
2025
Yunnan Forestry Vocational and Technical College
2024
Institute of Atmospheric Physics
2011-2024
Chinese Academy of Sciences
2015-2024
University of Chinese Academy of Sciences
2010-2024
Shanghai Maritime University
2024
ZheJiang Academy of Agricultural Sciences
2024
Liaoning Academy of Agricultural Sciences
2024
A novel pure organic heterostructure was constructed between g-C<sub>3</sub>N<sub>4</sub> and (FeTPP)<sub>2</sub>O as a photocatalyst for solar H<sub>2</sub> production from water splitting.
This letter presents a new mixed-order MUSIC algorithm for far-field and near-field sources localization using sparse symmetric array. By exploiting the special array geometry, proposed constructs cumulant matrix to estimate directions of arrival (DOAs) both conventional method. With estimated DOAs covariance array, are identified range parameters also obtained by defining spectrum. Compared with traditional algorithms, has moderate computation complexity, provides higher resolution,...
In this letter, a novel mixed sources localization method based on sparse signal reconstruction is presented, which can efficiently estimate direction-of-arrival (DOA) and range parameters of near-field far-field sources. By constructing the cumulant domain data array only related to DOA sources, we obtain estimation all using weighted <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">l</i> <sub xmlns:xlink="http://www.w3.org/1999/xlink">1</sub>...
The kidney is the most crucial site for excretion of arsenic and its metabolites.
Four-dimensional variational data assimilation (4DVar) is one of the most promising methods to provide optimal analysis for numerical weather prediction (NWP). Five national NWP centers in world have successfully applied 4DVar their global NWPs, thanks increment method and adjoint technique. However, application still limited by computer resources available at many research institutes. It essential, therefore, further reduce computational cost 4DVar. Here, an economical approach implement...
The peculiar properties of the gapless surface states with a Dirac cone shaped energy dispersion in topological insulators (TIs) enable promising applications photodetection an ultra-broad band and polarization sensitivity. Since many TIs can be easily grown on silicon (Si) substrates, Si could make alternative route for photon detection photonics. We present good device performances Si-based single-crystal bismuth telluride (Bi2Te3) photoconductive detector. Room temperature photo responses...
In the recently published paper, a switching method has been proposed to deal with time derivative of membership functions and less conservative results can be obtained due this method; however, is based on assumption that times are finite. article, further studied average dwell-time (ADT) technique applied ensure stability if there no such assumption. addition, an algorithm find controller gains. The final simulation demonstrates effectiveness developed new results.
Abstract Work alienation (WA) is on the rise, especially in today's era of globalization and digitalization. However, its foundational ties to Marx Hegel's conceptualizations are often overlooked. Despite extensive scholarly examination across disciplines, conceptualization WA remains plagued by a lack consensus concerning definitions, processes, operationalizations. This systematic literature review identifies four major definitional approaches their inherent limitations. First, equating...
Leaf senescence is an important agronomic trait that significantly influences the quality and yield of soybeans. v-Myb avian myeloblastosis viral oncogene homolog (MYB) transcription factors are considered crucial regulators governing leaf senescence, which can be utilized to improve traits in crops. However, our knowledge regarding functional roles soybean MYBs extremely limited. In this study, GmMYBLJ , a CCA1-like MYB was identified functionally characterized with respect senescence. The...
As a promising new class of near-infrared light emitters, GaAsBi laser diodes (LDs) are considered to have high energy efficiency and an insensitive temperature dependence the band gap. In this paper, we realize longest ever reported lasing wavelength up 1.142 μm at room in GaAsBi0.058/GaAs quantum well LDs grown by molecular beam epitaxy. The output power is 127 mW 300 K under pulsed mode. We also demonstrate continuous wave mode operation 273 for first time. coefficient GaAsBi/GaAs LD 0.26...
Abstract The crystallization and melting behavior of poly(β‐hydroxybutyrate‐ co ‐β‐hydroxyvalerate) (PHBV) a 30/70 (w/w) PHBV/poly(propylene carbonate) (PPC) blend was investigated with differential scanning calorimetry (DSC) Fourier transform infrared (FTIR). transesterification reaction between PHBV PPC detected in the melt‐blending process. interaction two macromolecules confirmed by means FTIR analysis. During process from melt, temperature PHBV/PPC decreased about 8°C, depressed 4°C,...
Abstract A novel full‐field initialization strategy based on the dimension‐reduced projection four‐dimensional variational data assimilation (DRP‐4DVar) is proposed to alleviate well‐known initial shock occurring in early years of decadal predictions. It generates consistent conditions, which best fit monthly mean oceanic analysis along coupled model trajectory 1 month windows. Three indices measure intensity are also proposed. Results indicate that this method does reduce predictions by...
Abstract Marked by large interannual variability, East Asian summer monsoon (EASM) rainfall has profound socio‐economic impacts through its dominant influence on floods and droughts. Improving predictions of the variations EASM important implications for over 20% world's population. While coupled modeling systems have demonstrated some prediction skill related to El Niño Southern Oscillation with remote rainfall, impact soil moisture heretofore not been systematically investigated. Using a...
The study of cloud types is critical for understanding atmospheric motions and climate predictions; example, accurately classified products help improve meteorological predicting accuracies. However, the current satellite classification methods generally analyze threshold change in a single pixel do not consider relationship between surrounding pixels. development relies heavily on human recourses does fully utilize data-driven advantages computer models. Here, new intelligent method based...
Abstract A four‐dimensional ensemble‐variational (4DEnVar) data assimilation (DA) system was developed based on the global forecast of Global/Regional Assimilation and Prediction System (GRAPES‐GFS). Instead using adjoint technique, this utilizes a dimension‐reduced projection (DRP) technique to minimize cost function standard variational (4DVar) DA. It dynamically predicts ensemble background error covariance (BEC) realizes explicit flow‐dependence BEC in configuration. An inflation linear...
Abstract. Reanalysis data play a vital role in weather and climate study as well meteorological resource development application. In this work, the East Asia System (EARS) was developed using Weather Research Forecasting (WRF) model Gridpoint Statistical Interpolations (GSI) assimilation system. The regional reanalysis system is forced by European Centre for Medium-Range Forecasts (ECMWF) global ERA-Interim at 6 h intervals. Hourly surface observations are assimilated Four-Dimension Data...
Abstract Two different methodologies (reactive blending and mechanical blending) for preparing blends of poly(β‐hydroxybutyrate‐ co ‐β‐hydroxyvalerate) (PHBV) poly(propylene carbonate) (PPC) were used. The miscibility, chemical structure, thermal behavior, crystallinity, morphology, properties the investigated with Fourier transform infrared spectroscopy, differential scanning calorimetry, polarized optical microscopy, electron tensile tests. A certain extent hydrogen‐bonding interactions...
Complete mitochondrial (mt) genome sequences with duplicate control regions (CRs) have been detected in various animal species. In Testudines, mtCRs reported the mtDNA of Asian big-headed turtle, Platysternon megacephalum, which has three living subspecies. However, evolutionary pattern these CRs remains unclear. this study, we report completed from 20 individuals belonging to subspecies turtle and discuss micro-evolutionary analysis evolution CRs. Genetic distances calculated MEGA 4.1 using...
Localization techniques are commonly used in ensemble-based data assimilation (e.g., the Ensemble Kalman Filter (EnKF) method) because of insufficient ensemble samples. They can effectively ameliorate spurious long-range correlations between background and observations. However, localization is very expensive when problem to be solved high dimension (say 106 or higher) for assimilating observations simultaneously. To reduce cost high-dimension problems, an approach proposed this paper, which...