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Temporal sediment source tracing during storm events in the black soil region, Northeast China

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International Soil and Water Conservation Research 2024年第2期12卷 322-336页

作者： Lin Su Donghao Huang lili zhou Chengjiu Guo Baoyong Liu College of Water Conservancy Shenyang Agricultural UniversityShenyang110866China Key Laboratory of Soil Erosion Control and Ecological Restoration in Liaoning Province Shenyang110866China College of Environmental Science and Engineering Liaoning Technical UniversityFuxin123000China

Sediment fingerprinting technology is widely used to differentiate sediment ***,despite its long-recognized benefits,there it has been seldom applied to assess the variability of sediment sources during storm *** this study,sediment fingerprinting is used for four storm events to determine the dynamic changes in sediment sources throughout them in the black soil region in Northeast *** potential sediment sources—cultivated land,unpaved roads,and gullies—were effectively differentiated using four geochemical tracers(As,Be,Cs,and Cu),with an accuracy of 100%.The relative sediment contribution from each source was determined using linear and Bayesian mixing *** mean absolute fit(MAF)values of the linear mixing model(MAF_(mean)=0.976–0.949)were higher than those of the Bayesian mixing model(MAF_(mean)=0.921–0.992),indicating that the first performed *** land was the primary source of the sediment load,accounting for 59.03%of it(load-weighted mean=68.29%),followed by the gullies(37.15%,load-weighted mean=28.09%),and unpaved roads(3.90%,load-weighted mean=3.69%)for the four storm *** addition,a high variability in sediment source contribution was observed during the storm *** land was the dominant sediment source during storm events with higher sediment concentrations(logarithmic function,r^(2)=0.878,p<0.01),discharge(linear function,r^(2)=0.452,p<0.05),and sediment flux(logarithmic function,r^(2)=0.857,p<0.01),whereas the reverse was observed for ***,the contribution of sediment from unpaved roads remained relatively stable during rainfall *** provides a potential means to assess dynamic changes in sediment contributions from different erosion ***,it provides data support for exploring soil erosion mechanisms and effective erosion control in the black soil region in Northeast China.

关键词： Sediment flux Sediment sources Sediment source fingerprinting Storm event Black soil region

Assessment of gully erosion susceptibility using different DEM-derived topographic factors in the black soil region of Northeast China

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International Soil and Water Conservation Research 2023年第1期11卷 97-111页

作者： Donghao Huang Lin Su lili zhou Yulu Tian Haoming Fan College of Water Conservancy Shenyang Agricultural UniversityShenyang110866China College of Forestry Shenyang Agricultural UniversityShenyang110866China Key Laboratory of Soil Erosion Control and Ecological Restoration in Liaoning ProvinceShenyang110866China College of Urban and Environmental Sciences Northwest UniversityXi'an710127China

As a primary sediment source,gully erosion leads to severe land degradation and poses a threat to food and ecological ***,identification of susceptible areas is critical to the prevention and control of gully *** study aimed to identify areas prone to gully erosion using four machine learning methods with derived topographic *** topographic attributes(elevation,slope aspect,slope degree,catchment area,plan curvature,profile curvature,stream power index,and topo-graphic wetness index)were derived as feature variables controlling gully occurrence from digital elevation models with four different pixel sizes(5.0 m,12.5 m,20.0 m,and 30.0 m).A gully inventory map of a small agricultural catchment in Heilongjiang,China,was prepared through a combination of field surveys and satellite *** topographic attribute dataset was randomly divided into two portions of 70%and 30%for calibrating and validating four machine learning methods,namely random forest(RF),support vector machines(SVM),artificial neural network(ANN),and generalized linear models(GLM).Accuracy(ACC),area under the receiver operating characteristic curve(AUC),root mean square error(RMSE),and mean absolute error(MAE)were calculated to assess the performance of the four machine learning methods in predicting spatial distribution of gully erosion susceptibility(GES).The results suggested that the selected topographic attributes were capable of predicting GES in the study catchment area.A pixel size of 20.0 m was optimal for all four machine learning *** RF method described the spatial relationship between the feature variables and gully occurrence with the greatest accuracy,as it returned the highest values of ACC(0.917)and AUC(0.905)at a 20.0 m *** RF was also the least sensitive to resolutions,followed by SVM(ACC=0.781-0.891,AUC=0.724-0.861)and ANN(ACC=0.744-0.808,AUC=0.649-0.847).GLM performed poorly in this study(ACC=0.693-0.757,AUC=0.608-0.703).Ba

关键词： Gully erosion Machine learningmethods Topographicattribute Pixel size Northeast China

Spatial and temporal assessment of the initial pattern of phytoplankton population in a newly built coastal reservoir

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Frontiers of Earth Science 2016年第3期10卷 546-559页

作者： Xiangyu REN Kai YANG Yue CHE Mingwei WANG lili zhou Liqiao CHEN Shanghai Key Laboratory of Urbanization and Ecological Restoration East China Normal University Shanghai 200241 China School of Life Sciences East China Normal University Shanghai 200241 China

For decades, the main threat to the water security of a metropolis, such as the city of Shanghai, has been the rapidly growing demand for water and at the same time, the decrease in water quality, including eutrophica- tion. Therefore Shanghai shifted the preferred freshwater source to the Yangtze Estuary and constructed the Qingcaosha Reservoir, which is subject to less eutrophic water from the Yangtze River. To assess the population of phytoplankton for the first time in the newly built reservoir, this study improved an integrated method to assess the phytoplankton pattern in large-water-area reservoirs and lakes, using partial triadic analysis and Geographic Information Systems. Monthly sampling and monitoring from 10 stations in the reservoir from July 2010 to December 2011 were conducted. The study examined the common pattern of the phytoplankton population structure and determined the differences in the specific composition of the phytoplankton community during the transition period of the reservoir. The results suggest that in all but three sampling stations in the upper parts of Qingcaosha Reservoir, there was a strong common compromise in 2011. The two most important periods occurred from late summer to autumn and from winter to early spring. The former was characterized by the dominance of cyanobac- teria, whereas the latter was characterized by the dominance of both chlorophyta and diatoms. Cyanobac- teria （Microcystis spp. as the main genus） were the monopolistic dominant species in the summer after reservoir operation. The statistical analysis also indicated the necessity for regular monitoring to focus on the stations in the lower parts of the reservoir and on several limited species.

关键词： phytoplankton dynamics Partial Triadic Ana-lysis Geographic Information Systems management,Qingcaosha Reservoir Shanghai

Different sites of extranodal involvement may affect the survival of patients with relapsed or refractory non-Hodgkin lymphoma after chimeric antigen receptor T cell therapy

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Frontiers of Medicine 2020年第6期14卷 786-791页

作者： lili zhou Ping Li Shiguang Ye Xiaochen Tang Junbang Wang Jie Liu Aibin Liang Department of Hematology Tongji Hospital of Tongji UniversityShanghai 200065China

Factors associated with complete and durable remissions after anti-CD19 chimeric antigen receptor T(CAR-T)cell immunotherapy for relapsed or refractory non-Hodgkin lymphoma(r/r NHL)have not been well *** this study,we found that the different sites of extranodal involvement may affect response,overall survival(OS),and progression-free survival(PFS)in patients with r/r NHL treated with anti-CD19 CAR-T *** a cohort of 32 treated patients,12(37.5%)and 8(25%)patients exhibited soft tissue lymphoma and bone marrow(BM)infiltrations,respectively,and 13(41%)patients exhibited infiltration at other *** factors that may affect prognosis were identified through multivariable *** an independent risk factor,soft tissue infiltration was the only factor significantly correlated with adverse prognosis(P<0.05),whereas other factors did not reach statistical ***,the site of extranodal tumor infiltration significantly and negatively affected OS and PFS in patients with r/r NHL treated with anti-CD19 CAR-T cell *** and OS in patients with BM involvement were not significantly different from those of patients with lymph node involvement ***,anti-CD19 CAR-T cell therapy may improve the prognosis of patients with BM infiltration.

关键词： anti-CD19 chimeric antigen receptor T cell soft tissue bone marrow relapsed or refractory non-Hodgkin lymphoma

Litterfall production and nutrient return in different-aged Chinese fir(Cunninghamia lanceolata) plantations in South China

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Journal of Forestry Research 2015年第1期26卷 79-89页

作者： lili zhou Addo-Danso Daniel Shalom Pengfei Wu Shubin Li Yayun Jia Xiangqing Ma Forestry College Fujian Agriculture and Forestry University Chinese fir Engineering Technology Research Center of the State Forestry Administration Faculty of Forestry University of British Columbia Ecosystem Services and Climate Change Division CSIR-Forestry Research Institute of Ghana

The amounts of litter produced and nutrients returned play a fundamental role in the productivity and biogeochemical and nutrient cycling of forest *** monitored annual litterfall production, nutrient return,and monthly dynamics over a one-year period in Chinese fir plantations aged 10, 22, and 34 years. Our objective was to quantify litterfall and nutrient return over a complete harvest rotation of Chinese fir. Annual litterfall production increased with stand age and was recorded as（3,294.6 ± 360.4）,（3,733.9 ± 211.2）, and（4,876.1 ± 212.8） kg ha-1a-1in stands aged 10, 22 and 34 years, respectively. Total litter production was significantly greater in the stand aged34 years than in the stand aged 10 years（p ／ 0.05）. With the exception of miscellaneous components, needle litterfall constituted the highest proportion（27.5–43.6 %）, followed by branches/twigs（9.5–16.6 %）. In all three plantations,annual total nutrient return to soil was in the order of C（1,119.95–2,709.05 kg ha-1a-1） [ N（39.32–62.04 kg ha-1a-1） [ K（15.95–22.44 kg ha-1a-1） [ P（1.30–1.63 kg ha-1a-1）. C, N, K and P input to soil was significantly lower in the 10-year-old stand in comparison to the 22- and34-year-old stands（p ／ 0.05）. Litterfall production and nutrient return（C, N and K） followed similar patterns, and C and N input to soil was significantly related to litterfall production（needle, branch and total litterfall）. C, N, P and K input to soil and total litterfall production were mainly driven by needle litterfall.

关键词： Cunninghamia lanceolata Litterfall production Nutrient return

Biomass production,nutrient cycling and distribution in age-sequence Chinese fir(Cunninghamia lanceolate)plantations in subtropical China

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Journal of Forestry Research 2016年第2期27卷 357-368页

作者： lili zhou Addo-Danso Daniel Shalom Pengfei Wu Zongming He Chunhua Liu Xiangqing Ma Forestry College Fujian Agriculture and Forestry UniversityFuzhou 350002People's Republic of China Chinese Fir Engineering Technology Research Center of the State Forestry Administration Fuzhou 350002People's Republic of China Department of Forest and Conservation Sciences Faculty of ForestryUniversity of British Columbia2424 Main MallVancouverBC V6T 1Z4Canada Ecosystem Services and Climate Change Division CSIR-Forestry Research Institute of GhanaBox 63 KNUSTKumasiGhana Xinkou Experimental Forest Farm of Fujian Agriculture and Forestry University Sanming 365002People's Republic of China

Biomass production and nutrient （N, P, K, Ca and Mg） accumulation, distribution and cycling were quantified in young, mature and over-mature （10-, 22-, and 34-year old） Chinese fir [Cunninghamia lanceolate （Lamb.） Hook] plantations in southern China. Total stand biomass of young, mature and over-mature stands was 38, 104 and 138 t ha-1 respectively. Biomass production increased significantly with age. Stem wood represented the highest percentage of stand biomass, accounting for 41, 55 and 63 % in the young, mature and over-mature plan- tations respectively. Nutrients concentration was highest in live needles and branches, and lowest in stem wood. The plantations accumulated more N, followed by K, Ca, Mg, and P. Nutrient return amount, nutrient utilization effi- ciency, nutrient turnover time, the ratio of nutrient return and uptake increased with stand age, which implies that young Chinese fir deplete soil nutrients to maintain growth, and efficiently utilize nutrients to decrease dependence on soil nutrients as they age. Harvesting young Chinese fir plantations would therefore lead to high nutrient loss, but prolonging the rotation length could improve soil recovery, and help sustain productivity in the long-term. Improved nutrient return through litterfall as stands get older may also be beneficial to nutrient pool recovery.

关键词： Cunninghamia lanceolate Biomassproduction Nutrient distribution Nutrient cycling

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深度学习在口腔影像分析中的应用

中国组织工程研究 2025年第11期29卷 2385-2393页

作者：杨予萱谭静怡周鹂鹂边子睿陈伊凡吴燕岷浙江大学医学院附属第二医院牙周病专科浙江省杭州市310009

背景:近年来深度学习技术越来越多地被运用于口腔医学领域,提高了口腔影像分析的效率及准确率,推动了口腔智能医学的迅速发展。目的:基于口腔影像,阐述深度学习在口腔疾病诊断和治疗方案决策方面的研究现状、优势与局限性,探讨深度学习... 详细信息

背景:近年来深度学习技术越来越多地被运用于口腔医学领域,提高了口腔影像分析的效率及准确率,推动了口腔智能医学的迅速发展。目的:基于口腔影像,阐述深度学习在口腔疾病诊断和治疗方案决策方面的研究现状、优势与局限性,探讨深度学习技术背景下口腔医学变革的新方向。方法:应用计算机检索PubMed数据库中2017年1月至2024年1月发表的深度学习在口腔医学影像领域应用的相关文献,检索词为“deep learning,artificial intelligence,stomatology,oral medical imaging”等,按入组标准筛选后最终纳入80篇文献进行综述。结果与结论:(1)经典的深度学习模型包括人工神经网络、卷积神经网络、递归神经网络和生成对抗网络等,学者们以或竞争或联合的形式运用这些模型,实现更高效的对口腔医学影像的解释。(2)在口腔医学领域,疾病诊断和治疗方案的制定在很大程度上依赖医学影像资料的判读,而深度学习技术拥有强大的图像处理能力,无论是在辅助诊断龋齿、根尖周炎、牙根纵裂、牙周病、颌骨囊肿等疾病方面,还是在辅助第三磨牙拔除术、颈淋巴结清扫术等治疗操作的术前评估方面,深度学习都能帮助临床医生提高决策的准确率与效率。(3)尽管深度学习有望成为口腔疾病诊治的重要辅助工具,但它在模型技术、安全伦理、法律监管方面仍有一定的局限性,未来的研究应侧重于证明深度学习的可推广性、稳健性和临床实用性,寻找将深度学习自动化决策支持系统应用于常规临床工作流程中的最佳方式。

关键词：深度学习口腔医学口腔影像疾病诊断口腔智能医学

Green Synthesis of Calcium Carbonate Uniform Microspheres Using Vegetables

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Chinese Journal of Chemistry 2012年第2期30卷 445-448页

作者： Chen,Long Bao,Zuben Pan,Jian Xu,Weibing Zhang,Heping Hu,Hongbo Hu,Jichao zhou,lili Post-Doetoral Scientific Research Workstation Huangshan NOVEL Co.LtdHuangshanAnhui 245061China Department of Chemistry Huangshan UniversityHuangshanAnhui 245041China Mobile Post-Doctoral Center School of Materials Science and EngineeringHefei University of TechnologyHefeiAnhui 230009China

We report a novel strategy for the green synthesis of calcium carbonate （CaCO3） microspheres by using four vegetables： potato, cucumber, aubergine, and carrot. The products were characterized by scanning electron microscopy, X-ray powder diffractometry and/or Fourier transform infrared spectroscopy. The results show that the spherical calcite crystals are obtained in the presence of potato, cucumber and aubergine extracts, while uniform vaterite and calcite mixed microspheres are produced with the extracts of carrot. The possible formation mechanism of the CaCO3 microspheres by using vegetables is also discussed, suggesting that the biomolecules especially proteins may induce and control the nucleation and growth of CaCO3 crystals. CaCO3 is an important biomineral and inorganic material. Uniform particles have numerous important applications in many areas. Therefore, this study is very significant not only for expanding the scope of crystal engineering, but also for biomineralization research and green synthesis of functional inorganic materials.

关键词： calcium carbonate crystal growth microsphere vegetable X-ray diffraction

A De novo 46,dic(6;18)(q27;p10) in a patient with mental retardation and hypotonia

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A De novo 46,dic(6;18)(q27;p10) in a patient with mental ret...