Fuel design is a complex multi-objective optimization problem in which facile and robust methods are urgently demanded.Herein,a complete workflow for designing a fuel blending scheme is presented,which is theoreticall...Fuel design is a complex multi-objective optimization problem in which facile and robust methods are urgently demanded.Herein,a complete workflow for designing a fuel blending scheme is presented,which is theoretically supported,efficient,and reliable.Based on the data distribution of the composition and properties of the blending fuels,a model of polynomial regression with appropriate hypothesis space was established.The parameters of the model were further optimized by different intelligence algorithms to achieve high-precision regression.Then,the design of a blending fuel was described as a multi-objective optimization problem,which was solved using a Nelder–Mead algorithm based on the concept of Pareto domination.Finally,the design of a target fuel was fully validated by experiments.This study provides new avenues for designing various blending fuels to meet the needs of next-generation engines.展开更多
There are rich oil and gas resources in Alberta oil sand mining area in Canada.Since the 1960s,the Canadian government decided to increase the mining intensity.However,the exploitation will bring many adverse effects....There are rich oil and gas resources in Alberta oil sand mining area in Canada.Since the 1960s,the Canadian government decided to increase the mining intensity.However,the exploitation will bring many adverse effects.In recent years,more people pay attention to the environmental protection and ecological restoration of mining area,such as issues related with changes of vegetated lands.Thus,the authors used the Landsat-5 TM and Landsat-8 OLI remote sensing images as the basic data sources,and obtained the land cover classification maps from 1995 to 2020 by ENVI.Based on the NDVI,NDMI and RVI,three images in each period are processed and output to explore the long-term impact of exploitation.The results show that from 1995 to 2020,the proportion of vegetation around mining areas decreased sharply,the scale of construction land in the mining area increased,and the vegetated land was changed to land types such as tailings pond,oil sand mine and other land types.In addition,three vegetation indexes decreased from 1995 to 2020.Although the exploitation of oil sand mining area brings great economic benefits,the environmental protection(especially vegetation)in oil sand mining areas should be paid more attention.展开更多
Myeloid-derived suppressor cells(MDSCs)are heterogeneous,immature myeloid cells that inhibit the immune responses of T cells.1–5 MDSCs play a crucial role in infection,6,7 transplantation,8,9 autoimmune diseases10,11...Myeloid-derived suppressor cells(MDSCs)are heterogeneous,immature myeloid cells that inhibit the immune responses of T cells.1–5 MDSCs play a crucial role in infection,6,7 transplantation,8,9 autoimmune diseases10,11,and tumors12,13 by driving the differentiation of specific T-cell subsets,but the precise regulatory mechanism is still unclear.Recently,our results showed that SIRT1,a histone deacetylase,suppresses the functions of proinflammatory MDSCs and promotes tumor growth.14 However,it remains unclear whether SIRT1 regulates the MDSC-induced differentiation of T cells.Here,we identified the regulatory effects of SIRT1 in CD11b+Gr1+MDSCs on T-cell differentiation.展开更多
基金the support from the National Key R&D Program of China(No.2021YFC2103701)the National Natural Science Foundation of China(No.22178248)the Haihe Laboratory of Sustainable Chemical Transformations。
文摘Fuel design is a complex multi-objective optimization problem in which facile and robust methods are urgently demanded.Herein,a complete workflow for designing a fuel blending scheme is presented,which is theoretically supported,efficient,and reliable.Based on the data distribution of the composition and properties of the blending fuels,a model of polynomial regression with appropriate hypothesis space was established.The parameters of the model were further optimized by different intelligence algorithms to achieve high-precision regression.Then,the design of a blending fuel was described as a multi-objective optimization problem,which was solved using a Nelder–Mead algorithm based on the concept of Pareto domination.Finally,the design of a target fuel was fully validated by experiments.This study provides new avenues for designing various blending fuels to meet the needs of next-generation engines.
基金supported by the National Key Research and Development Program of China(No.2020YFA0714103)China Scholarship Council(No.CSC201906175002)the Young Teachers and Students’Cutting-edge Funding of Jilin University,China(No.2020-JCXK-04).
文摘There are rich oil and gas resources in Alberta oil sand mining area in Canada.Since the 1960s,the Canadian government decided to increase the mining intensity.However,the exploitation will bring many adverse effects.In recent years,more people pay attention to the environmental protection and ecological restoration of mining area,such as issues related with changes of vegetated lands.Thus,the authors used the Landsat-5 TM and Landsat-8 OLI remote sensing images as the basic data sources,and obtained the land cover classification maps from 1995 to 2020 by ENVI.Based on the NDVI,NDMI and RVI,three images in each period are processed and output to explore the long-term impact of exploitation.The results show that from 1995 to 2020,the proportion of vegetation around mining areas decreased sharply,the scale of construction land in the mining area increased,and the vegetated land was changed to land types such as tailings pond,oil sand mine and other land types.In addition,three vegetation indexes decreased from 1995 to 2020.Although the exploitation of oil sand mining area brings great economic benefits,the environmental protection(especially vegetation)in oil sand mining areas should be paid more attention.
基金The authors’research is supported by grants from the National Natural Science Foundation for Key Programs of China(31730024,G.L.)the National Natural Science Foundation for General Programs of China(31671524,G.L.).
文摘Myeloid-derived suppressor cells(MDSCs)are heterogeneous,immature myeloid cells that inhibit the immune responses of T cells.1–5 MDSCs play a crucial role in infection,6,7 transplantation,8,9 autoimmune diseases10,11,and tumors12,13 by driving the differentiation of specific T-cell subsets,but the precise regulatory mechanism is still unclear.Recently,our results showed that SIRT1,a histone deacetylase,suppresses the functions of proinflammatory MDSCs and promotes tumor growth.14 However,it remains unclear whether SIRT1 regulates the MDSC-induced differentiation of T cells.Here,we identified the regulatory effects of SIRT1 in CD11b+Gr1+MDSCs on T-cell differentiation.
