A5103140089- Advanced Surface Polishing Techniques
- Advanced machining processes and optimization
- Erosion and Abrasive Machining
- Laser Material Processing Techniques
- Slime Mold and Myxomycetes Research
- Air Quality and Health Impacts
- Remote Sensing and Land Use
- Land Use and Ecosystem Services
- Atmospheric chemistry and aerosols
- Advanced Algebra and Geometry
- Multi-Agent Systems and Negotiation
- Advanced Measurement and Metrology Techniques
- Plant and Biological Electrophysiology Studies
- Algebraic Geometry and Number Theory
- Air Quality Monitoring and Forecasting
- Remote Sensing in Agriculture
- Service-Oriented Architecture and Web Services
- Biocrusts and Microbial Ecology
- Water Quality Monitoring Technologies
- Metallurgy and Material Forming
- Climate Change and Health Impacts
- Logic, Reasoning, and Knowledge
- Complex Network Analysis Techniques
- Text and Document Classification Technologies
- Water Quality Monitoring and Analysis
Hong Kong Polytechnic University
2021-2024
Huazhong University of Science and Technology
2024
Inspire Institute
2024
Tongji University
2024
Northwestern Polytechnical University
2024
Union Hospital
2024
Zhejiang Environmental Monitoring Center
2010-2023
Shanghai Ocean University
2023
Science and Technology Commission of Shanghai Municipality
2023
Ministry of Agriculture and Rural Affairs
2023
Myocardial ischemia-reperfusion injury (MIRI) is a major hindrance to the success of cardiac reperfusion therapy. Although increased neutrophil infiltration hallmark MIRI, subtypes and alterations neutrophils in this process remain unclear. Here, we performed single-cell sequencing CD45
Lightweight and high-performance complex-shaped polymeric foams are highly desirable for applications in aerospace, ships, wind power, transportation, etc. This work successfully synthesized the foamable P(MAA-co-MAN-co-tBMA) beads via aqueous suspension polymerization, which can be used as precursors preparation of polymethacrylimide (PMI) by in-mold thermal foaming. For synthesis PMI precursor beads, oil phase consists methacrylic acid (MAA) methacrylonitrile (MAN) monomers with...
A well-managed time-constrained workflow scheduling is needed for improving system performance and end user satisfaction. Meanwhile, the intrinsic uncertainty in dynamic systems increases difficulties of problem. Therefore, it a great challenge to improve optimize several objectives simultaneously. To address these issues, novel method distributed based on TOPSIS with fuzzy set proposed this paper. The new can minimize makespan application under uncertain environment. Finally, numerical...
Post-process finishing of the additively manufactured (AMed) surfaces is still a critical issue, especially for AMed with complex surface geometry, which largely limits application additive manufacturing. Hence, this paper presents multi-jet polishing (MJP) method post processing surfaces, utilizing number pressurized micro/nanometer abrasive water jets. A group systematic tests are conducted on 316L stainless steel (SS) prepared by powder bed fusion, to test performance, as well effect key...
Computer-Controlled Optical Surfacing (CCOS) has been greatly developed and widely used for precision optical fabrication in the past three decades. It relies on robust dwell time solutions to determine how long polishing tools must at certain points over surfaces achieve expected forms. However, as calculations are modeled ill-posed deconvolution, it is always non-trivial reach a reliable solution that 1) non-negative, since CCOS systems not capable of adding materials, 2) minimizes...
High-throughput experimental techniques provide a wide variety of heterogeneous proteomic data sources. To exploit the information spread across multiple sources for protein function prediction, these are transformed into kernels and then integrated composite kernel. Several methods first optimize weights on to produce kernel, train classifier As such, approaches result in an optimal but not necessarily classifier. On other hand, some loss binary classifiers learn different iteratively. For...
NO2 (nitrogen dioxide) is a common pollutant in the atmosphere that can have serious adverse effects on health of residents. However, existing satellite and ground observation methods are not enough to effectively monitor spatiotemporal heterogeneity near-surface concentrations, which limits development remediation work medical research. Based TROPOMI-NO2 tropospheric column concentration data, supplemented by meteorological atmospheric condition reanalysis data other geographic parameters,...
Bi-objective Traveling Salesman Problem (bTSP) is an important field in the operations research, its solutions can be widely applied real world. Many researches of Multi-objective Ant Colony Optimization (MOACOs) have been proposed to solve bTSPs. However, most MOACOs suffer premature convergence. This paper proposes optimization strategy for by optimizing initialization pheromone matrix with prior knowledge Physarum-inspired Mathematical Model (PMM). PMM find shortest route between two...
Multi-view Multi-instance Multi-label Learning (M3L) deals with complex objects encompassing diverse instances, represented different feature views, and annotated multiple labels. Existing M3L solutions only partially explore the inter or intra relations between (or bags), labels, which can convey important contextual information for M3L. As such, they may have a compromised performance.\
 In this paper, we propose collaborative matrix factorization based solution called M3Lcmf. M3Lcmf...