A5107946810- Photonic and Optical Devices
- Photonic Crystals and Applications
- Fire Detection and Safety Systems
- Human Mobility and Location-Based Analysis
- Advanced Fiber Optic Sensors
- Video Surveillance and Tracking Methods
- Machine Learning and Data Classification
- Advanced Antenna and Metasurface Technologies
- Plant Micronutrient Interactions and Effects
- Trace Elements in Health
- Image Enhancement Techniques
- Plant Stress Responses and Tolerance
- Plasmonic and Surface Plasmon Research
- Metamaterials and Metasurfaces Applications
- Structural Integrity and Reliability Analysis
- Advanced Fiber Laser Technologies
- Bayesian Modeling and Causal Inference
- Photonic Crystal and Fiber Optics
- Risk and Safety Analysis
- Cassava research and cyanide
- Sharing Economy and Platforms
- Topic Modeling
- Data Quality and Management
- Optical Coatings and Gratings
- Advanced Graph Neural Networks
Guangdong Ocean University
2018-2025
Xi'an Shiyou University
2023-2024
Tongji University
2024
University of California, Santa Barbara
2021-2022
Zhejiang University
2022
University of California System
2020
Baylor College of Medicine
2018-2019
National Yang Ming Chiao Tung University
2019
Hefei University
2017
Tsinghua University
2017
With the ubiquity of location based services and applications, large volume mobility data has been generated routinely, usually from heterogeneous sources, such as different GPS-embedded devices, mobile apps or service providers. In this paper, we investigate efficient ways identifying users across sources. We present a MapReduce-based framework called Automatic User Identification (AUI) which is easy to deploy can scale very set. Our on novel similarity measure signal (SIG) measures users'...
Zinc (Zn)- and iron (Fe)-regulating transport-like proteins (ZIPs) are a class of crucial for metal uptake transport in plants, particularly Zn Fe absorption distribution. These ensure the balance trace elements essential plant growth, development, metabolic activities. However, role rice (Oryza sativa) OsZIP gene family manganese (Mn) selenium (Se) remains underexplored. This research conducted an all-sided analysis OsZIPs identified 16 sequences. Phylogenetic categorized predominantly...
Selenium (Se) is crucial for both plants and humans, with acting as the main source human Se intake. In plants, moderate enhances growth increases stress resistance, whereas excessive leads to toxicity. The physiological mechanisms by which influences rice seedlings’ are poorly understood require additional research. order study effects of selenium on seedlings, plant phenotype analysis, root scanning, metal ion content determination, response index hormone level quantitative PCR (qPCR),...
Pesticides released into the environment are increasingly recognized as a global threat to freshwater ecosystems because of their adverse effects on non-target organisms, particularly aquatic insects and other arthropods. Superoxide dismutases (SODs) important antioxidant enzymes that play crucial role in protecting organisms from oxidative stress induced by harmful materials. In this study, we identified 2 cellular SODs (PxSOD1 PxSOD2) Protohermes xanthodes Navás (Megaloptera: Corydalidae),...
Inverse design has attracted significant attention as a method to improve device performance and compactness. In this research, we employed combination of forward the inverse algorithm using particle swarm optimization (PSO) bent ultra-compact 1310/1550 nm broadband wavelength demultiplexer assisted by subwavelength grating (SWG). Through phase matching at 1550 mismatch 1310 nm, rapidly designed width parameters SWG in direction. Then PSO was used optimize certain range achieve best...
In the mobile Internet era, payment service becomes foundation of inclusive finance, which brings convenience and security to people. Various marketing strategies are designed encourage activities by allocating incentives such as coupons or commissions customers merchants. We summary two significant issues. First, there is a phenomenon mutual influence between merchants customers, i.e., bipartite issue, thus making independent optimization non-optimal. Second, redemptions partially observed,...
With large-scale construction of urban natural gas pipelines, the occurrence accidents such as fire, explosion owing to pipeline leakage has increased. How make appropriate response strategy for is an important topic safety planner. This paper proposed assessment program evaluate risk leakage. system uses artificial neural network mode, which includes 10 inputs methane concentration, weather, corrosion, simulate index The 97-day field operation results showed that match well with situation,...
Recently, representation learning on temporal graphs has drawn increasing attention, which aims at patterns to characterize the evolving nature of dynamic in real-world applications. Despite effectiveness, these methods commonly ignore individual- and combinatorial-level derived from different types interactions (e.g.,user-item), are heart graphs. To fill this gap, we propose MERIT, a novel multi-level graph attention network for inductive graphs.We adaptively embed original timestamps...
Animal behavior is not driven simply by its current observations, but strongly influenced internal states. Estimating the structure of these states crucial for understanding neural basis behavior. In principle, can be estimated inverting models, as in inverse model-based Reinforcement Learning. However, this requires careful parameterization and risks model-mismatch to animal. Here we take a data-driven approach infer latent directly from observations behavior, using partially observable...
Multi-agent systems have attracted much attention in the recent years due to their capabilities handle complex and computation-heavy tasks compatibility with incentive schemes. Considering difficulty of creating an actual prototype environment for evaluation, a simulation platform is cheap efficient way analyzing testing, prior real environmental implementations. Existing simulators multi-agent are inadequate analyze effects different customized schemes on agents' behavior patterns two...
Complex behaviors are often driven by an internal model, which integrates sensory information over time and facilitates long-term planning. Inferring agent's model is a crucial ingredient in social interactions (theory of mind), for imitation learning, interpreting neural activities behaving agents. Here we describe generic method to behavior under environment with uncertainty, infer the reward function, dynamic beliefs. We apply our simulated agent performing naturalistic foraging task....
ABSTRACT The generation of high‐coherence mid‐infrared (MIR) supercontinuum (SC) spanning over one octave in As 2 Se 3 tapered photonic crystal fiber (As ‐TPCF) is investigated through numerical simulations. Combined with the and fiber's structural characteristics, six ‐TPCFs different structures are designed. regions power function cosine structures, respectively, while taper waist untapered region have same structure. Moreover, nonlinear coefficient 2.23825 W −1 m calculated by finite...