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Soil Organic Carbon Density in Hebei Province, China: Estimates and Uncertainty

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Pedosphere 2005年第3期15卷 293-300页

作者： ZHAOYong-Cun SHIXue-Zheng yudong-sheng T.F.PAGELLA SUNWei-Xia XUXiang-Hua StateKeyLaboratoryofSoilandSustainableAgriculture InstituteofSoilScienceChineseAcademyofSciencesNanjing210008（China）／／GraduateSchoolofChineseAcademyofSciencesBeijing100039（China） StateKeyLaboratoryofSoilandSustainableAgriculture InstituteofSoilScienceChineseAcademyofSciencesNanjing210008（China）／／SchoolofAgriculturalandForestSciencesUniversityofWalesBangor（UK） StateKeyLaboratoryofSoilandSustainableAgriculture InstituteofSoilScienceChineseAcademyofSciencesNanjing210008（China） SchoolofAgriculturalandForestSciences UniversityofWalesBangor（UK） DepartmentofEnvironmentalEngineering ZhejiangUniversityHangzhou310029（China）

In order to improve the precision of soil organic carbon (SOC) estimates, the sources of uncertainty in soil organic carbon density (SOCD) estimates and SOC stocks were examined using 363 soil profiles in Hebei Province, China, with three methods: the soil profile statistics (SPS), GIS-based soil type (GST), and kriging interpolation (KI). The GST method, utilizing both pedological professional knowledge and GIS technology, was considered the most accurate method of the three estimations, with SOCD estimates for SPS 10% lower and KI 10% higher. The SOCD range for GST was 84% wider than KI as KI smoothing effect narrowed the SOCD range. Nevertheless, the coefficient of variation for SOCD with KI (41.7%) was less than GST and SPS. Comparing SOCD’s lower estimates for SPS versus GST, the major sources of uncertainty were the conflicting area of proportional relations. Meanwhile, the fewer number of soil profiles and the necessity of using the smoothing effect with KI were its sources of uncertainty. Moreover, for local detailed variations of SOCD, GST was more advantageous in reflecting the distribution pattern than KI.

关键词： professional pedological knowledge-based database (PKD) soil organic carbon (SOC) soil profile database (SPD) soil profile statistics (SPS) uncertainty

Malignant ovarian tumors during pregnancy:Diagnostic evaluation,optimal treatment,and future perspective

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Chinese Medical Journal 2024年第12期137卷 1474-1476页

作者： Yaru sheng Jiangjing Yuan Yuhong Li yudong Wang Department of Gynecologic Oncology International Peace Maternity and Child Health HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai 200030China Shanghai Municipal Key Clinical Specialty Female Tumor Reproductive SpecialtyShanghai 200030China Shanghai Key Laboratory of Embryo Original Disease Shanghai 200030China

To the Editor:Malignant ovarian tumors during pregnancy(MOTP)rank second after cervical cancer among gynecological malignancies diagnosed during pregnancy,and most women today hope to maintain pregnancy and preserve fertility,which complicates oncologic treatment,as all potential complications and prognoses should be carefully considered for both the mother and fetus.A coordinated approach from a multidisciplinary team involving gynecological oncologists,obstetricians,and pathologists is recommended.

关键词： pregnancy mother treatment

Using GIS Spatial Distribution to Predict Soil Organic Carbon in Subtropical China

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Pedosphere 2004年第4期14卷 425-431页

作者： CHENGXian-Fu SHIXue-Zheng yudong-sheng PANXian-Zhang WANGHong-Jie SUNWei-Xia StateKeyLaboratoryofSoilandSustainableAgriculture InstituteofSoilScienceChineseAcademyofSciencesNanjing210008（China）. Departmentofgeography AnhuiNormalUniversityWuhu241000（China）

Spatial distribution of organic carbon in soils is difficult to estimatebecause of inherent spatial variability and insufficient data. A soil-landscape model for a region,based on 151 samples for parent material and topographic factors, was established using a GISspatial analysis technique and a digital elevation model (DEM) to reveal spatial distributioncharacteristics of soil organic carbon (SOC). Correlations between organic carbon and topographicfactors were analyzed and a regression model was established to predict SOC content. Results forsurface soils (0-20 cm) showed that the average SOC content was 12.8 g kg^(-1), with the SOC contentbetween 6 and 12 g kg^(-1) occupying the largest area and SOC over 24 g kg^(-1) the smallest. Also,soils derived from phyllite were the highest in the SOC content and area, while soils developed onpurple shale the lowest. Although parent material, elevation, and slope exposure were allsignificant topographic variables (P < 0.01), slope exposure had the highest correlation to SOCcontent (r = 0.66). Using a multiple regression model (R^2 = 0.611) and DEM (with a 30 m X 30 mgrid), spatial distribution of SOC could be forecasted.

关键词： digital elevation model parent material regression model soil organiccarbon topography

ThyroidNet:A Deep Learning Network for Localization and Classification of Thyroid Nodules

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 361-382页

作者： Lu Chen Huaqiang Chen Zhikai Pan sheng Xu Guangsheng Lai Shuwen Chen Shuihua Wang Xiaodong Gu yudong Zhang Ultrasonic Department Zhongda Hospital Affiliated to Southeast UniversityNanjing210009China School of Physics and Information Engineering Jiangsu Second Normal UniversityNanjing211200China School of Computing and Mathematical Sciences University of LeicesterLeicesterLE17RHUK Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia State Key Laboratory of MillimeterWaves Southeast UniversityNanjing210096China Jiangsu Province Engineering Research Center of Basic Education Big Data Application Jiangsu Second Normal UniversityNanjing211200China School of Software Engineering Quanzhou Normal UniversityQuanzhou362000China Department of Biological Sciences Xi’an Jiaotong-Liverpool UniversitySuzhou215123China

Aim:This study aims to establish an artificial intelligence model,ThyroidNet,to diagnose thyroid nodules using deep learning techniques ***:A novel method,ThyroidNet,is introduced and evaluated based on deep learning for the localization and classification of thyroid ***,we propose the multitask TransUnet,which combines the TransUnet encoder and decoder with multitask ***,we propose the DualLoss function,tailored to the thyroid nodule localization and classification *** balances the learning of the localization and classification tasks to help improve the model’s generalization ***,we introduce strategies for augmenting the ***,we submit a novel deep learning model,ThyroidNet,to accurately detect thyroid ***:ThyroidNet was evaluated on private datasets and was comparable to other existing methods,including U-Net and *** results show that ThyroidNet outperformed these methods in localizing and classifying thyroid *** achieved improved accuracy of 3.9%and 1.5%,***:ThyroidNet significantly improves the clinical diagnosis of thyroid nodules and supports medical image analysis *** research directions include optimization of the model structure,expansion of the dataset size,reduction of computational complexity and memory requirements,and exploration of additional applications of ThyroidNet in medical image analysis.

关键词： ThyroidNet deep learning TransUnet multitask learning medical image analysis

Functional Rehabilitation of the "Soil Reservoir"in Degraded Soils to Control Floods in the Yangtze River Watershed

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Pedosphere 2004年第1期14卷 1-8页

作者： SHIXue-Zheng LIANGYin yudong-sheng PANXian-Zhang[ E.D.WARNER WANGHong-Jie InstituteofSoilScience ChineseAcademyofSciencesNanjing210008（China） EnvironmentalResourcesResearchInstitute ThePennsylvaniaStateUniversityUniversityPark（USA）

The reasons for the Yangtze River flood calamity in 1998 are briefly introduced. The authors believe that using a 'soil reservoir' concept is an important means to help control flooding of the Yangtze River.A 'soil reservoir' has a large potential storage capacity and its water can be rapidly 'discharged' into the underground water in a timely fashion. The eroded, infertile soils of the Yangtze River Watershed are currently an obstacle to efficient operation of the 'soil reservoir'. The storage capacity of this 'soil reservoir'has been severely hampered due to intensive soil erosion and the formation of soil crusts. Therefore, possible measures to control floods in the Yangtze River Watershed include: rehabilitating the vegetation to preserve soil and water on the eroded infertile soils, enhancing infiltration of the different soil types, and utilizing the large 'soil reservoir' of the upper reaches of the Yangtze River.

关键词： flood calamity soil erosion 'soil reservoir' the yangtze river watershed

Synthesiztion of Radiation-inducible Promoter and Identification of Its Radiation-inducibility

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中国口腔颌面外科杂志 2008年第B5期6卷 138-138页

作者： yudong sheng Huanghong Zhang Department of Stomatology SUNChinaOral MaxillofacialYat-sen UniversitySurgery Hospital of Guangzhou 510055

To synthesize radiation-inducible promoters and testify its radiation-inducible property. Material and Methods The promoters for radiation-mediated gene therapy, containing six CArG elements, were synthesized with man-made complementary oligodeoxyribonucleotides. The enhancer regions of the CMV IE gene promoter in pCGFP were replaced by the synthetic promoters to construct the reporter plasmids pE-GFP. GFP gene was used as reporter gene to analyse the radiation-inducible property. Results The GFP expression in Tca8113 cells, which were transfected with pE-GFP, was increased by induction of low lose Y-radiation. It was evident that the level of GFP expression observed was dependent on radiation dose, with maximal expression seen following 3Gy irradiation by 161% as compared with control group. Conclusion The synthetic promoters are responsive to low dose of ionizing radiation and the CArG elements can service as a molecular switch to enhance downstream gene expression. The synthetic promoters are expected development of future therapy. to make a valuable contribution to the radiation-responsive vectors for gene

关键词：基因治疗治疗方法可诱导性合成方法

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产品全生命周期过程知识树导航重用研究

现代制造工程 2017年第1期 76-81页

作者：冯全华张东民盛育东张宏上海应用技术大学机械工程学院上海201418 上海徐工工程机械有限公司上海201412

复杂机械产品的开发具有知识密集型的特点,知识重用策略在开发中起着重要作用。对机械产品全生命周期中容易忽略的过程知识进行研究,面向产品全生命周期和自身结构,构建产品过程知识本体,将大粒度的本体知识细化成含有知识节点和知识点... 详细信息

复杂机械产品的开发具有知识密集型的特点,知识重用策略在开发中起着重要作用。对机械产品全生命周期中容易忽略的过程知识进行研究,面向产品全生命周期和自身结构,构建产品过程知识本体,将大粒度的本体知识细化成含有知识节点和知识点的知识树。对知识树映射的过程知识进行建模,并通过知识树导航和关键词检索重用产品全生命周期过程知识,满足了不同技术层次开发者的需求。以摊铺机为例,开发了基于知识树导航的摊铺机全生命周期过程知识重用系统,验证了方法的可行性。

关键词：过程知识知识建模知识重用知识树导航关键词检索

摊铺机产品全生命周期过程知识重用系统开发研究

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中国科技论文 2016年第4期11卷 449-453页

作者：冯全华张东民盛育东张宏上海应用技术学院机械工程学院上海201418 上海徐工工程机械有限公司上海201412

摊铺机属于复杂机电产品,产品全生命周期过程中产生很多过程知识,过程知识的丢失导致企业重蹈以往出现的设计错误。为更好地应用过程知识带来的价值,分析摊铺机全生命周期知识现状,总结出摊铺机生命周期知识存在的问题。对摊铺机全生命... 详细信息

摊铺机属于复杂机电产品,产品全生命周期过程中产生很多过程知识,过程知识的丢失导致企业重蹈以往出现的设计错误。为更好地应用过程知识带来的价值,分析摊铺机全生命周期知识现状,总结出摊铺机生命周期知识存在的问题。对摊铺机全生命周期中产生的过程知识进行研究;开发过程知识,整合成不同载体类型。采用本体的建模方法合理组织知识,以全生命周期为主线分层表示知识。开发摊铺机全生命周期过程知识重用系统,系统支持摊铺机知识的定义和多种检索方式,面向不同使用对象实现过程知识的共享和重用,有效地提高了摊铺机产品生命周期过程知识应用效率。

关键词：全生命周期过程知识本体建模知识集成知识检索知识重用

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冷挤压模具磨损优化设计

铸造技术 2017年第12期38卷 2895-2899页

作者：褚忠瞿伟刘铭心恽庞杰盛育东上海应用技术大学机械工程学院上海201418

以凸缘螺母冷挤压模芯为例,建立凸缘螺母冷挤压成形的三维几何模型和有限元模型。通过对冷挤压成形过程的模芯磨损分析,设计基于摩擦系数、模具初始硬度、上冲棒冲压速度、模芯入口圆角半径大小的四因素三水平标准正交实验。通过Archar... 详细信息

以凸缘螺母冷挤压模芯为例,建立凸缘螺母冷挤压成形的三维几何模型和有限元模型。通过对冷挤压成形过程的模芯磨损分析,设计基于摩擦系数、模具初始硬度、上冲棒冲压速度、模芯入口圆角半径大小的四因素三水平标准正交实验。通过Archard磨损模型和理论,在Deform-3D数值模拟分析软件中进行冷挤压模芯磨损的正交实验,获得模芯磨损量最小的最优四因素组合,研究四因素与模具磨损的影响关系,分析上冲棒冲压速度是模芯磨损的最大因素的原因。结果表明,通过正交实验和磨损模型能够准确地计算模芯磨损量,预测模芯寿命,改善工艺设计。

关键词：冷挤压模具正交试验磨损设计优化