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| 1 | Climate and litter C/N ratio constrain soil organic carbon accumulation显示文摘Soil organic carbon(SOC) plays critical roles in stabilizing atmospheric CO2 concentration, but the mechanistic controls on the amount and distribution of SOC on global scales are not well understood. In turn, this has hampered the ability to model global C budgets and to find measures to mitigate climate change. Here, based on the data from a large field survey campaign with 2600 plots across China’s forest ecosystems and a global collection of published data from forested land, we find that a low litter carbon-to-nitrogen ratio(C/N) and high wetness index(P/PET, precipitation-to-potentialevapotranspiration ratio) are the two factors that promote SOC accumulation, with only minor contributions of litter quantity and soil texture. The field survey data demonstrated that high plant diversity decreased litter C/N and thus indirectly promoted SOC accumulation by increasing the litter quality. We conclude that any changes in plant-community composition, plant-species richness and environmental factors that can reduce the litter C/N ratio, or climatic changes that increase wetness index, may promote SOC accumulation. The study provides a guideline for modeling the carbon cycle of various ecosystem scales and formulates the principle for land-based actions for mitigating the rising atmospheric CO2 concentration. | Guoyi Zhou Shan Xu Philippe Ciais Stefano Manzoni Jingyun Fang Guirui Yu Xuli Tang Ping Zhou Wantong Wang Junhua Yan Gengxu Wang Keping Ma Shenggong Li Sheng Du Shijie Han Youxin Ma Deqiang Zhang Juxiu Liu Shizhong Liu Guowei Chu Qianmei Zhang Yuelin Li Wenjuan Huang Hai Ren Xiankai Lu Xiuzhi Chen | 2019 | National Science Review2019，6，4： | 21 |
| 2 | An Organic Antitamish Coating Tinplate 显示文摘 | Han Keping Fang Jingli | 1997 | Thin Solid Films1997，300，1： | 1 |
| 3 | Effects of functional phylogeny of light-response-related orthologous genes on seedling survival in a subtropical forest显示文摘Background: Light is an important environmental factor affecting the growth and survival of plants in forest communities. The competition for light resources and divergent responses to light may affect plant species coexistence in natural forests through niche partitioning and environmental filtering, respectively.Methods: In the present study, sequences of light-response-related functional genes were extracted from transcriptomic data of 99 tree species in a subtropical forest and average and nearest taxon phylogenetic diversity of adult(A_Apd’, A_NTpd’) and seedling neighbors(S_Apd’, S_NTpd’) around each focal seedling were calculated to evaluate effects of differentiation in light-response-related genes on community assembly processes.Results: The results showed that seedling survival was related to S_NTpd’, S_Apd’and A_Apd’of two chlorophyll ab-binding proteins involved in the assembly of photosystem Ⅱ and two genes responsive to light intensity,indicating seedlings surrounded by neighbors with distinct light responses tended to have high survival rates.Conclusions: Our results indicated that niche partitioning due to competition for light resources between plants may act as the key mechanism in determining seedling dynamics in subtropical forests. | Hui Shang Yunquan Wang Baocai Han Xiangcheng Mi Lei Chen Yu Liang Keping Ma | 2023 | Forest Ecosystems2023，10，1： | 0 |
| 4 | Pharmaceutical digital transformation in China:digital quality assurance takes the driver’s seat显示文摘The development of automation,the Internet of Things(IoT),artificial intelligence(AI),big data,and other digi-tal technologies has made it imperative for pharmaceutical companies to undergo digital transformation to improve their research and development capabilities,increase the quality of their products,lower operating costs,and gain a competitive edge.One of the most crucial steps in the life-cycle riskman-agement chain for drugs is digital quality assurance(DQA).Based on a literature review,questionnaire survey,and expert consensus,a panel of experts was convened in Shanghai to generate a set of conceptual,pharmaceutical manufacturing-specific DQA specifications.The goal of the consensus is to advance common practices that use digital tools to quickly collect,record,evaluate,and review particular forms of data to enhance the automation of quality assurance and make drug quality activities more efficient. | Yuanyuan Ge Meng Cao Hui Cao Bin Han Jingchen Zhang Zhengyu Yi Yaowei Wu Beifen Zhu Keping Ruan Yiyi Pu Yi Zeng Tongjing Tao Zhenzhong Lyu Hongmei Yuan Guiliang Chen | 2023 | Bio-Design and Manufacturing2023，6，5： | 0 |
| 5 | Evaluation of bacterial contamination on three different surfaces within domestic refrigerators显示文摘The objectives of this study were to analyze the number of microorganisms,fungal composition and the correlation between bacterial enrichment and air quality on three internal surfaces(the inner wall,shelf,and basket)of domestic refrigerators.The results showed that the inner wall had a significantly lower number of coliforms(P<0.05),and the range was 0.2−2.5 log MPN cm^(-2).The total bacterial counts and psychrophilic bacterial counts on three internal surfaces in the same refrigerator tended to be consistent.Moreover,the inner wall owned a simpler bacterial community structure.At the genus level of fungi,the dominant flora of both the inner wall and shelf were Saccharomyces spp.and Candida spp.,while Saccharomyces spp.,Candida spp.and Fistulina spp.took superiority in the basket.Specifically,Shannon index and Simpson index,which represent the bacterial community diversity,were the lowest on the wall,and six bacterial species on the inner wall had relative abundance higher than 0.5%of the total operational taxonomic units(OTUs),while for the shelf and basket,there were 12 and 11 bacterial species respectively.Also,there was a significant negative correlation in the basket between the chao1 index and PM2.5.This study could provide guidance for the sanitation and recommend adequate packaging of foods stored in refrigerators. | Wenqi Zhang Junjiao Wang Yuanyuan Zhang Keping Ye Yiqing Han Chaowei Wang Cong Qi Xiaoyin Ge | 2022 | Food Materials Research2022，2，1： | 0 |
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