The article proposes a new architecture based on RAID 0 tech in computer science for signal processing field to store high speed data. It is composed of SSD driven by FPGA, called SSD-based RAID on FPGA. This new arch...The article proposes a new architecture based on RAID 0 tech in computer science for signal processing field to store high speed data. It is composed of SSD driven by FPGA, called SSD-based RAID on FPGA. This new architecture features high storage rate, mass capacity and small volume, and it is an efficient solution to store high speed data. The article describes the construction of SRF in details, and shows the test result of a demo system based on the architecture.展开更多
The size and composition of particulate matter(PM)are pivotal in determining its adverse health effects.It is important to understand PM's retention by plants to facilitate its atmospheric removal.However,the dist...The size and composition of particulate matter(PM)are pivotal in determining its adverse health effects.It is important to understand PM's retention by plants to facilitate its atmospheric removal.However,the distinctions between the size and composition of naturally fallen PM(NFPM)and leaf-deposited PM(LDPM)are not well-documented.Here we utilize a single-particle aerosol mass spectrometer,coupled with a PM resuspension chamber,to analyze these differences.We find that LDPM particles are 6.8 e97.3%larger than NFPM.Employing a neural network algorithm based on adaptive resonance theory,we have identified distinct compositional profiles:NFPM predominantly consists of organic carbon(OC;31.2%)and potassium-rich components(19.1%),whereas LDPM are largely composed of crustal species(53.9e60.6%).Interestingly,coniferous species retain higher OC content(11.5e13.7%)compared to broadleaved species(0.5e1.2%),while the levoglucosan content exhibit an opposite trend.Our study highlights the active role of tree leaves in modifying PM composition beyond mere passive capture,advocating for a strategic approach to species selection in urban greening initiatives to enhance PM mitigation.These insights provide guidance for urban planners and environmentalists in implementing nature-based solutions to improve urban air quality.展开更多
文摘The article proposes a new architecture based on RAID 0 tech in computer science for signal processing field to store high speed data. It is composed of SSD driven by FPGA, called SSD-based RAID on FPGA. This new architecture features high storage rate, mass capacity and small volume, and it is an efficient solution to store high speed data. The article describes the construction of SRF in details, and shows the test result of a demo system based on the architecture.
基金supported by the National Key Research and Development Project(2022YFF1301104)the National Natural Science Foundation of China(3217186542271096)。
文摘The size and composition of particulate matter(PM)are pivotal in determining its adverse health effects.It is important to understand PM's retention by plants to facilitate its atmospheric removal.However,the distinctions between the size and composition of naturally fallen PM(NFPM)and leaf-deposited PM(LDPM)are not well-documented.Here we utilize a single-particle aerosol mass spectrometer,coupled with a PM resuspension chamber,to analyze these differences.We find that LDPM particles are 6.8 e97.3%larger than NFPM.Employing a neural network algorithm based on adaptive resonance theory,we have identified distinct compositional profiles:NFPM predominantly consists of organic carbon(OC;31.2%)and potassium-rich components(19.1%),whereas LDPM are largely composed of crustal species(53.9e60.6%).Interestingly,coniferous species retain higher OC content(11.5e13.7%)compared to broadleaved species(0.5e1.2%),while the levoglucosan content exhibit an opposite trend.Our study highlights the active role of tree leaves in modifying PM composition beyond mere passive capture,advocating for a strategic approach to species selection in urban greening initiatives to enhance PM mitigation.These insights provide guidance for urban planners and environmentalists in implementing nature-based solutions to improve urban air quality.
