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A VGGNet-based correction for satellite altimetry-derived gravity anomalies to improve the accuracy of bathymetry to depths of 6500 m

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Acta Oceanologica Sinica 2024年第1期43卷 112-122页

作者： Xiaolun Chen Xiaowen Luo ziyin wu Xiaoming Qin Jihong Shang Huajun Xu Bin Li Mingwei Wang Hongyang Wan Key Laboratory of Submarine Geosciences Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China Ocean College Zhejiang UniversityZhoushan 316021China Key Laboratory of Ocean Space Resources Management Technology Marine Academy of ZhejiangHangzhou 310012China School of Oceanography Shanghai Jiao Tong UniversityShanghai 200240China School of Civil Engineering and Architectures Zhejiang University of Science and TechnologyHangzhou 310023China National Center for Archaeology Beijing 100013China

Understanding the topographic patterns of the seafloor is a very important part of understanding our planet.Although the science involved in bathymetric surveying has advanced much over the decades,less than 20%of the seafloor has been precisely modeled to date,and there is an urgent need to improve the accuracy and reduce the uncertainty of underwater survey data.In this study,we introduce a pretrained visual geometry group network(VGGNet)method based on deep learning.To apply this method,we input gravity anomaly data derived from ship measurements and satellite altimetry into the model and correct the latter,which has a larger spatial coverage,based on the former,which is considered the true value and is more accurate.After obtaining the corrected high-precision gravity model,it is inverted to the corresponding bathymetric model by applying the gravity-depth correlation.We choose four data pairs collected from different environments,i.e.,the Southern Ocean,Pacific Ocean,Atlantic Ocean and Caribbean Sea,to evaluate the topographic correction results of the model.The experiments show that the coefficient of determination(R~2)reaches 0.834 among the results of the four experimental groups,signifying a high correlation.The standard deviation and normalized root mean square error are also evaluated,and the accuracy of their performance improved by up to 24.2%compared with similar research done in recent years.The evaluation of the R^(2) values at different water depths shows that our model can achieve performance results above 0.90 at certain water depths and can also significantly improve results from mid-water depths when compared to previous research.Finally,the bathymetry corrected by our model is able to show an accuracy improvement level of more than 21%within 1%of the total water depths,which is sufficient to prove that the VGGNet-based method has the ability to perform a gravity-bathymetry correction and achieve outstanding results.

关键词： gravity anomaly bathymetry inversion VGGNet multibeam sonar satellite altimetry

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Reconstruction of large complex sand-wave bathymetry with adaptive partitioning combining satellite imagery and sparse multi-beam data

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Journal of Oceanology and Limnology 2022年第5期40卷 1924-1936页

作者： Huaguo ZHANG Juan WANG Dongling LI Bin FU Xiulin LOU ziyin wu State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China Key Laboratory of Submarine Geosciences Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China School of Oceanography Shanghai Jiao Tong UniversityShanghai 200240China

Shallow marine sand waves are formed on the seabed and are widely distributed within tidal environments.However,the use of multibeam echo sounding(MBES)is costly to obtain the bathymetric mapping of large complex sand waves.Therefore,we propose a new method that employs a combination of multiangle sun glint images and sparse MBES data to achieve comprehensive bathymetric mapping of large and complex sand waves.This method involves estimating sea surface roughness,automatically extracting sand-wave crests,conducting adaptive subregion partitioning,estimating the water depth at auxiliary points,and generating digital bathymetric models.The method was employed in a case study of sand waves on the Taiwan Bank.Bathymetric mapping was implemented for large complex sand waves over an area spanning approximately 350 km~2 using multiangle sun glint images from the Advanced Spaceborne Thermal Emission and Reflection Radiometer and MBE S data.The results show that mapped and measured water depths were well-matched;the root-mean-square error of water depths was 1.77 m,and the relative error was 5.03%.These findings show that bathymetric mapping of large complex sand waves can be effectively conducted using the new method,and as such,the workload of MBES is reduced and efficiency is improved.

关键词： bathymetric mapping sand waves submarine topography sun glint images multibeam echo sounding(MBES)

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基于改进ResNet-50的类别不平衡蚕茧图像分类算法

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蚕业科学 2024年第2期50卷 116-126页

作者：吴勇李子印汪小东叶飞金君中国计量大学光学与电子科技学院杭州310018 湖州市质量技术监督检测研究院(湖州市纤维质量监测中心) 浙江湖州313099

在蚕茧制丝工艺流程中,缫丝前需将蚕茧按照缫丝工艺要求,逐一进行选茧分类工作。针对蚕茧图像数据存在类内差异大、类间差异小以及类别不平衡问题,文中提出一种基于改进ResNet-50的类别不平衡蚕茧图像分类算法。该算法在ResNet-50特征... 详细信息

在蚕茧制丝工艺流程中,缫丝前需将蚕茧按照缫丝工艺要求,逐一进行选茧分类工作。针对蚕茧图像数据存在类内差异大、类间差异小以及类别不平衡问题,文中提出一种基于改进ResNet-50的类别不平衡蚕茧图像分类算法。该算法在ResNet-50特征提取网络基础上,从特征图中得到注意力图,之后划分区域,将注意力强度最大区域的特征值减半,以抑制最显著区域特征;提取最显著区域特征并进行特征融合,以增加疵点注意力分布及提高网络表征能力;引入解耦表示学习和分类器学习进行训练,使用类平衡采样微调分类器,引入低频类参数优化损失,以在参数空间进一步调整分类器决策边界。结果表明,该算法在蚕茧图像测试集上分类准确率达96203%,加权F1分数达96196%,相较于ResNet-50分类算法分别提升1243个百分点和1279个百分点;改进算法对中低频类别蚕茧图像分类准确率提升达077~932个百分点。将该算法应用到蚕茧分选系统的视觉模块中可有效提升蚕茧分选效率。

关键词：蚕茧图像蚕茧疵点特征融合蚕茧分选

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台湾海峡水沙数值模拟与地貌冲淤分析

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海洋学报 2024年第4期46卷 90-105页

作者：钟皓周洁琼吴自银赵荻能曹振轶朱超自然资源部第二海洋研究所浙江杭州310012 自然资源部海底科学重点实验室浙江杭州310012 上海交通大学海洋学院上海200030 卫星海洋环境动力学国家重点实验室浙江杭州310012

台湾海峡是我国最大的海峡,也是东海和南海进行物质和能量交换的主要通道。海峡内地形变化剧烈,海洋动力环境复杂,加上两侧众多山溪性河流携带大量泥沙流入海洋,是研究动力沉积作用的理想场所。目前,由于缺乏海峡整体的高分辨率地形以... 详细信息

台湾海峡是我国最大的海峡,也是东海和南海进行物质和能量交换的主要通道。海峡内地形变化剧烈,海洋动力环境复杂,加上两侧众多山溪性河流携带大量泥沙流入海洋,是研究动力沉积作用的理想场所。目前,由于缺乏海峡整体的高分辨率地形以及相关实测水文数据,以整个台湾海峡为研究区域的动力沉积模拟尚不多见。本文基于高分辨率地形和相关水文数据,建立了台湾海峡水动力数值模型,耦合泥沙输运模块,模拟台湾海峡的动力沉积过程,并用现场观测资料对模型进行了验证。动力模拟结果表明,台湾海峡的潮流流场由南、北两个潮波控制,具有明显的时间和空间特征,潮流流速夏季大于冬季,海峡中部小于南北两侧,北侧小于南侧。基于冲淤模拟结果,将台湾海峡划分为淤积区、侵蚀区、冲淤平衡区三大类共计7个沉积分区,淤积区沉积速率最大可达5 cm/a,主要集中在台湾浅滩北部,侵蚀区冲刷速率为2~5 cm/a。结合模拟结果,本文建立了台湾海峡沉积输运模式与“源-汇”格局模式,阐述了台湾海峡冲淤变化的动力学机制和“源-汇”过程。

关键词：台湾海峡数值模拟水动力泥沙输运地貌演变

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微孔板法测定乳粉中叶酸含量的不确定度分析

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食品与机械 2024年第3期40卷 95-99,119页

作者：刘子音卓一鸣刘腊兰彭纳吴后吕长沙市食品药品检验所湖南长沙410016

目的:对微孔板法测定乳粉中叶酸含量的不确定度进行分析评估。方法:按GB 5009.211—2022中微孔板法测定婴儿配方乳粉中叶酸含量,依据JJF 1059.1—2012、CNAS-CL01-G003:2021和CNAS-GL05:2011等不确定度评定方法和指南对影响检测结果的... 详细信息

目的:对微孔板法测定乳粉中叶酸含量的不确定度进行分析评估。方法:按GB 5009.211—2022中微孔板法测定婴儿配方乳粉中叶酸含量,依据JJF 1059.1—2012、CNAS-CL01-G003:2021和CNAS-GL05:2011等不确定度评定方法和指南对影响检测结果的各种试验因素进行分析、计算,得到合成标准不确定度及扩展不确定度。结果:扩展不确定度U 95=22.08μg/100 g(k=2),样品中叶酸含量为(282.33±22.08)μg/100 g。不确定度主要来源于接种微孔板过程、标准曲线拟合和测量重复性。结论:移液器的准确度和微生物因素对试验结果影响较大,需保证仪器质量并严格按照标准化流程操作以降低不确定度。

关键词：叶酸乳粉微孔板法不确定度

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NOGEA: A Network-oriented Gene Entropy Approach for Dissecting Disease Comorbidity and Drug Repositioning

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Genomics, Proteomics & Bioinformatics 2021年第4期19卷 549-564页

作者： Zihu Guo Yingxue Fu Chao Huang Chunli Zheng ziyin wu Xuetong Chen Shuo Gao Yaohua Ma Mohamed Shahen Yan Li Pengfei Tu Jingbo Zhu Zhenzhong Wang Wei Xiao Yonghua Wang College of Life Science Northwest UniversityXi'an 710069China College of Life Science Northwest A&F UniversityYangling 712100China Zoology Department Faculty of ScienceTanta UniversityTanta 31527Egypt Key Laboratory of Industrial Ecology and Environmental Engineering(Ministry of Education) Faculty of ChemicalEnvironmental and Biological Science and TechnologyDalian University of TechnologyDalian 116024China State Key Laboratory of Natural and Biomimetic Drugs School of Pharmaceutical SciencesPeking UniversityBeijing 100191China School of Food Science and Technology Dalian Polytechnic UniversityDalian 116034China State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process Lianyungang 222001China

Rapid development of high-throughput technologies has permitted the identification of an increasing number of disease-associated genes(DAGs),which are important for understanding disease initiation and developing precision therapeutics.However,DAGs often contain large amounts of redundant or false positive information,leading to difficulties in quantifying and prioritizing potential relationships between these DAGs and human diseases.In this study,a networkoriented gene entropy approach(NOGEA)is proposed for accurately inferring master genes that contribute to specific diseases by quantitatively calculating their perturbation abilities on directed disease-specific gene networks.In addition,we confirmed that the master genes identified by NOGEA have a high reliability for predicting disease-specific initiation events and progression risk.Master genes may also be used to extract the underlying information of different diseases,thus revealing mechanisms of disease comorbidity.More importantly,approved therapeutic targets are topologically localized in a small neighborhood of master genes in the interactome network,which provides a new way for predicting drug-disease associations.Through this method,11 old drugs were newly identified and predicted to be effective for treating pancreatic cancer and then validated by in vitro experiments.Collectively,the NOGEA was useful for identifying master genes that control disease initiation and co-occurrence,thus providing a valuable strategy for drug efficacy screening and repositioning.NOGEA codes are publicly available at https://***/guozihuaa/NOGEA.

关键词： Systems pharmacology Gene entropy Disease gene network Disease comorbidity Drug repositioning

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Macrophage-targeting gene silencing orchestrates myocardial microenvironment remodeling toward the anti-inflammatory treatment of ischemia-reperfusion (IR) injury

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Bioactive Materials 2022年第11期7卷 320-333页

作者： Yao Wang Mengying Hou Shanzhou Duan ziyin Zhao Xuejie wu Yongbing Chen Lichen Yin Department of Cardiothoracic Surgery the Second Affiliated Hospital of Soochow UniversitySuzhou215002China Institute of Functional Nano and Soft Materials(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials and DevicesSoochow UniversitySuzhou215123China Yancheng First Hospital Affiliated Hospital of Nanjing University Medical SchoolYancheng224005China

Ischemia-reperfusion (IR) injury represents a major cause of myocardial dysfunction after infarction and thrombolytic therapy, and it is closely related to the free radical explosion and overwhelming inflammatory responses. Herein, macrophage-targeting nanocomplexes (NCs) are developed to mediate efficient co-delivery of siRNA against MOF (siMOF) and microRNA-21 (miR21) into myocardial macrophages, cooperatively orches-trating the myocardial microenvironment against IR injury. Bioreducible, branched poly(β-amino ester) (BPAE-SS) is designed to co-condense siMOF and miR21 into NCs in a multivalency-reinforced approach, and they are surface-decorated with carboxylated mannan (Man-COOH) to shield the positive surface charges and enhance the serum stability. The final MBSsm NCs are efficiently internalized by myocardial macrophages after systemic administration, wherein BPAE-SS is degraded into small segments by intracellular glutathione to promote the siMOF/miR21 release, finally provoking efficient gene silencing. Thus, cardiomyocyte protection and macro-phage modulation are realized via the combined effects of ROS scavenging, inflammation inhibition, and autophagy attenuation, which ameliorates the myocardial microenvironment and restores the cardiac function via positive cellular crosstalk. This study renders promising solutions to address the multiple systemic barriers against in vivo nucleic acid delivery, and it also offers new options for IR injury by manipulating multiple reciprocal bio-reactions.

关键词： Myocardial ischemia-reperfusion(IR)injury Reduction-responsive branched poly(β-amino ester) siRNA/miRNA delivery Anti-inflammation Microenvironment remodeling

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GmYSL7 controls iron uptake,allocation,and cellular response of nodules in soybean

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Journal of Integrative Plant Biology 2023年第1期65卷 167-187页

作者： Xinying wu Yongliang Wang Qiaohan Ni Haizhen Li Xuesong wu Zhanxin Yuan Renhao Xiao ziyin Ren Jingjing Lu Jinxia Yun Zhijuan Wang Xia Li National Key Laboratory of Crop Genetic and Improvement Hubei Hongshan LaboratoryCollege of Plant Science and Technology Huazhong Agricultural UniversityWuhan 430070 China Guangdong Laboratory for Lingnan Modern Agriculture wushan Road Guangzhou 510642 China

Iron(Fe)is essential for DNA synthesis,photosynthesis and respiration of plants.The demand for Fe substantially increases during legumesrhizobia symbiotic nitrogen fixation because of the synthesis of leghemoglobin in the host and Fecontaining proteins in bacteroids.However,the mechanism by which plant controls iron transport to nodules remains largely unknown.Here we demonstrate that GmYSL7 serves as a key regulator controlling Fe uptake from root to nodule and distribution in soybean nodules.GmYSL7 is Fe responsive and GmYSL7 transports iron across the membrane and into the infected cells of nodules.Alterations of GmYSL7 substantially affect iron distribution between root and nodule,resulting in defective growth of nodules and reduced nitrogenase activity.GmYSL7 knockout increases the expression of GmbHLH300,a transcription factor required for Fe response of nodules.Overexpression of GmbHLH300 decreases nodule number,nitrogenase activity and Fe content in nodules.Remarkably,GmbHLH300 directly binds to the promoters of ENOD93 and GmLbs,which regulate nodule number and nitrogenase activity,and represses their transcription.Our data reveal a new role of GmYSL7 in controlling Fe transport from host root to nodule and Fe distribution in nodule cells,and uncover a molecular mechanism by which Fe affects nodule number and nitrogenase activity.

关键词： GmbHLH300 GmYSL7 iron transport nodule soybean symbiosis

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Parameter Group Optimization by Combining CUBE with Surface Filtering and Its Application

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Journal of Geodesy and Geoinformation Science 2020年第2期3卷 81-92页

作者： Dineng ZHAO ziyin wu Jieqiong ZHOU Mingwei WANG Zhihao LIU Jiabiao LI Key Laboratory of Submarine Geosciences&Second Institute of Oceanography Ministry of Natural ResourcesHangzhou 310012China

Shallow water multi-beam echo sounders(MBESs)are characterized by their high resolution and high density,and MBES data processing is a hotspot in modern marine surveying.The Combined Uncertainty and Bathymetry Estimator(CUBE)is the mainstream MBES data processing algorithm,although little is known about its core theories and parameters.In this paper,the basic principle,mathematical model,key parameters,and main processing steps of CUBE are described systematically.A parameter group optimization method that combines CUBE with a surface filter is established.Additionally,an example is given that shows the steps for parameter group optimization,including selection of a typical area,parameter group testing,and comparative analysis,and the method is then applied to shallow water MBES data processing.The results show that the method can improve the accuracy and efficiency of automatic data processing effectively,and it is thus of engineering application value.

关键词： multi-beam echo sounder CUBE data processing parameter optimization algorithm principle

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经典名方四物汤化学成分、药理作用、临床应用研究进展及质量标志物预测分析

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中华中医药学刊 2024年第7期42卷 154-161页

作者：房敏赵冠宇李泉洋孟子盈杨倩倩杜丽东吴国泰甘肃中医药大学药学院甘肃兰州730000 甘肃省中药药理与毒理学重点实验室甘肃兰州730000 陇药产业创新研究院甘肃兰州730000

四物汤出自唐代蔺道人《仙授理伤续断秘方》,是养血补血的经典名方,具有促进骨髓造血、促进红细胞生成、修复肝损伤、抗氧化、提高学习记忆能力、改善代谢和雌激素样作用,临床常用于治疗贫血,在妇科、骨伤科疾病和肿瘤辅助治疗方面疗效... 详细信息

四物汤出自唐代蔺道人《仙授理伤续断秘方》,是养血补血的经典名方,具有促进骨髓造血、促进红细胞生成、修复肝损伤、抗氧化、提高学习记忆能力、改善代谢和雌激素样作用,临床常用于治疗贫血,在妇科、骨伤科疾病和肿瘤辅助治疗方面疗效显著。在总结四物汤的化学成分、药理作用及临床应用研究进展的基础上,依照中药质量标志物(Quality Marker, Q-Marker)“五原则”进行预测分析,结果提示芍药苷、芍药内酯苷、苯甲酰芍药苷、川芎嗪、阿魏酸、藁本内酯、洋川芎内酯Ⅰ、梓醇、5-羟甲基糠醛、毛蕊花糖苷可作为四物汤的Q-Marker,可选择这些Q-Marker成分作为指标对四物汤相关制剂的质量进行控制。

关键词：四物汤质量标志物化学成分药理作用临床应用质量控制

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