- Face and Expression Recognition
- Remote-Sensing Image Classification
- Air Quality and Health Impacts
- Luminescence and Fluorescent Materials
- Neural Networks and Applications
- Advanced Clustering Algorithms Research
- Atmospheric chemistry and aerosols
- Bayesian Methods and Mixture Models
- Air Quality Monitoring and Forecasting
- Image Processing Techniques and Applications
- Advanced Neural Network Applications
- Supramolecular Self-Assembly in Materials
- Domain Adaptation and Few-Shot Learning
- Coastal wetland ecosystem dynamics
- Advanced Computational Techniques and Applications
- Image and Signal Denoising Methods
- Metal Extraction and Bioleaching
- Advanced Image Fusion Techniques
- Geology and Paleoclimatology Research
- Cloud Computing and Resource Management
- Stochastic Gradient Optimization Techniques
- Polydiacetylene-based materials and applications
- Meteorological Phenomena and Simulations
- Molecular Sensors and Ion Detection
- Smart Grid Energy Management
Michigan State University
2019-2025
China University of Mining and Technology
2025
Hebei Normal University
2023-2024
Digital China Health (China)
2024
Hunan Institute of Science and Technology
2024
Nanyang Technological University
2019-2024
Shaanxi University of Science and Technology
2024
University of California, Santa Barbara
2023
Xijing University
2016-2023
University of Science and Technology Liaoning
2023
Superior artificial light-harvesting systems (ALHSs) require exceptional capacity in harvesting light and transferring energy. In this work, we report a novel strategy to build ALHSs with an unprecedented antenna effect (35.9 solution 90.4 solid film). The made use of conjugated polymeric supramolecular network (CPSN), crosslinked obtained from the self-assembly pillar[5]arene-based host (CPH) ditopic guests (Gs). excellent performance CPSN could be attributed following factors: 1)...
With the emergence of novel technologies and ground breaking concepts in BBB basic research past decades, researchers’ attention on critical role blood brain barrier (BBB) integrity after stroke is surging. The main novelty this review that it not only highlights recent findings signaling pathways mediating ischemic disruption, such as vascular permeability, lactate transportation failure, mitochondrial crisis ion channel water disability, endothelial actin polymerization, junctional...
Touch is a unique channel in affect conveyance. A significant aspect of this uniqueness that the relation touch to immediate, without need for symbolic encoding and decoding. However, most pioneering research work developing remote technologies, result use as either by design or user decision. We present review relevant psychological sociological literature propose model immediacy conveyance affect. posit strategic provision contextualizing channels will liberate assume its role Armed with...
Abstract. The GNAQPMS model is the global version of Nested Air Quality Prediction Modelling System (NAQPMS), which a multi-scale chemical transport used for air quality forecast and atmospheric environmental research. In this study, we present our work porting optimizing on second generation Intel Xeon Phi processor codename “Knights Landing” (KNL). Compared with first coprocessor, KNL introduced many new hardware features such as bootable processor, high performance in-package memory ISA...
The recurrence of cancer after local surgery has been a difficult problem in the clinic for long time. In recent years, treatment via drug-loaded thermosensitive hydrogels have become promising strategy to prevent recurrence. Thus, hydrogel based on poloxamer 407, 188 and bioadhesive excipient carbomer 974P was designed locally release paclitaxel tumour direct smearing at site injury surgical cavity. To improve drug concentration, prepared into nanocrystals wet mill process. A series studies...
Emotion analysis is the key technology in human–computer emotional interaction and has gradually become a research hotspot field of artificial intelligence. The problems emotion based on EEG are feature extraction classifier design. existing methods mainly use machine learning rely manually extracted features. As an end-to-end method, deep can automatically extract features classify them. However, most models recognition still need manual screening data pre-processing, accuracy convenience...
Safe reinforcement learning aims to ensure the optimal performance while minimizing potential risks. In real-world applications, especially in scenarios that rely on visual inputs, a key challenge lies extraction of essential features for safe decision-making maintaining sample efficiency. To address this issue, we propose constrained representation with bisimulation metrics (CVRL-BM). CVRL-BM constructs sequential conditional variational inference model compress high-dimensional...
The problems of neglecting spatial features in hyperspectral imagery (HSI) and the high complexity Local Tangent Space Alignment (LTSA) still exist nonlinear dimensionality reduction with LTSA for classification. Therefore, this paper proposes an innovative ENH-LTSA (Enhanced-Local Alignment) method to solve two problems. First, random projection is introduced preliminarily reduce dimension HSI data. It aims improve speed neighbor searching local tangent space construction. Then, new...
Abstract. The Beijing area has suffered from severe air pollution in recent years, including ozone the summer. In addition to anthropogenic emissions inventory, understanding local requires a reliable biogenic volatile organic compound (BVOC) emission inventory. Forest coverage rose 20.6 35.8 % 1998 2013 according National Resource Survey (NFRS), and accurate representations of land cover for years is crucial estimating BVOC their impacts on quality. this study, we established...
Bisphosphorylpillar[5]arenes ( and ) were synthesized used to study the host-guest complexation in organic solvents water. The interactions between guests phosphate of hosts lead strong binding towards alkyl dihalides alkyldiammonium ions. may be detect or separate water due rapid precipitation complex.
Abstract Superior artificial light‐harvesting systems (ALHSs) require exceptional capacity in harvesting light and transferring energy. In this work, we report a novel strategy to build ALHSs with an unprecedented antenna effect (35.9 solution 90.4 solid film). The made use of conjugated polymeric supramolecular network (CPSN), crosslinked obtained from the self‐assembly pillar[5]arene‐based host ( CPH ) ditopic guests (Gs). excellent performance CPSN could be attributed following factors:...
An orthogonal supramolecular network has been developed as an excellent light-harvesting system with a high antenna effect. The effects were over 60 wide range of host/guest ratios, exhibiting good fabrication error tolerance.
Epilepsy is the second most common disease of nervous system. Because its high disability rate and long course disease, it a worldwide medical problem social public health problem. Therefore, timely detection treatment epilepsy are very important. Currently, professionals use their own diagnostic experience to identify seizures by visual inspection electroencephalogram (EEG). Not only does require lot time effort, but process also cumbersome. Machine learning-based methods have recently been...
Abstract. The Global Nested Air Quality Prediction Modeling System (GNAQPMS) is the global version of (NAQPMS), which a multi-scale chemical transport model used for air quality forecast and atmospheric environmental research. In this study, we present porting optimisation GNAQPMS on second-generation Intel Xeon Phi processor, codenamed Knights Landing (KNL). Compared with first-generation coprocessor (codenamed Corner, KNC), KNL has many new hardware features such as bootable...
Compared with the tritopic guest without chains, flexible alkyl chains bound to polymeric host more strongly and induced formation of larger but duller supraspheres.
Air free-cooled data centers (DCs) have not existed in the tropical zone due to unique challenges of year-round high ambient temperature and relative humidity (RH). The increasing availability servers that can tolerate higher temperatures RH regulatory bodies' prompts raise DC setpoints sheds light upon feasibility air DCs tropics. This paper studies problem controlling supplied a below certain thresholds maintain servers' computing performance reliability. To achieve goal, portion hot...
The traditional collaborative fuzzy clustering can effectively perform data in distributed peer-to-peer networks, which is an impossible task to complete for the centralized methods due privacy and security requirements or network transmission technology constraints. But it will increase number of iterations lead lower efficiency clustering. Moreover, mechanism hidden iterative process cannot be well revealed explained. In this article, a novel series transfer algorithms are proposed solve...
Distributed clustering based on the Gaussian mixture model (GMM) has exhibited excellent capabilities in peer-to-peer (P2P) networks. However, more iterative numbers and communication overhead are required to achieve consensus existing distributed GMM algorithms. In addition, truth that it cannot find a closed form for update of parameters causes imprecise accuracy. To solve these issues, by utilizing transfer learning technique, general framework is exploited promote performance accelerate...