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中国生物医学工程学报 2019年第3期38卷 306-314页

作者：王序文张宇郭臻李姣中国医学科学院/北京协和医学院医学信息研究所北京100020

医学图像语义概念识别是医学图像知识表示的重要技术环节。研究医学图像语义概念识别方法,有助于机器理解和学习医学图像中的潜在医学知识,在影像辅助诊断和智能读片等应用中发挥重要作用。将医学图像的高频概念识别问题转化为多标签分... 详细信息

医学图像语义概念识别是医学图像知识表示的重要技术环节。研究医学图像语义概念识别方法,有助于机器理解和学习医学图像中的潜在医学知识,在影像辅助诊断和智能读片等应用中发挥重要作用。将医学图像的高频概念识别问题转化为多标签分类任务,利用基于卷积神经网络的深度迁移学习方法,识别有限数量的高频医学概念;同时利用基于图像检索的主题建模方法,从给定医学图像的相似图像中提取语义相关概念。国际跨语言图像检索论坛ImageCLEF于2018年5月组织ImageCLEFcaption 2018评测,其子任务'概念检测'的目标是给定222 314张训练图片和9 938张测试图片,识别111 156个语义概念。上述两种方法的实验结果已被提交。实验结果表明,利用基于卷积神经网络的深度迁移学习方法识别医学图像高频概念,F1值为0.092 8,在提交团队中排名第二;基于图像检索的主题模型可召回部分低频相关概念,F1值为0.090 7,然而其性能依赖于图像检索结果的质量。基于卷积神经网络的深度迁移学习方法识别医学图像高频概念的鲁棒性优于基于图像检索方法的鲁棒性,但在大规模开放语义概念的识别技术研究上仍需进一步完善。

关键词：概念识别深度迁移学习多标签分类医学图像检索主题模型

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Water-soluble amino pillararene functionalized gold nanoclusters as fluorescence probes for the sensitive determination of dopamine

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MICROCHEMICAL JOURNAL 2019年 150卷 104084-000页

作者： liu, xuwen Hou, Xiaoqian li, Zhi li, Jun Ran, Xin Yang, Long Southwest Forestry Univ Key Lab Forest Resources Conservat & Utilizat Sou Minist Educ Kunming 650224 Yunnan Peoples R China Southwest Forestry Univ Yunnan Prov Key Lab Wood Adhesives & Glued Prod Kunming 650224 Yunnan Peoples R China Southwest Forestry Univ Sch Mat Sci & Engn Kunming 650224 Yunnan Peoples R China Southwest Forestry Univ Sch Chem Engn Kunming 650224 Yunnan Peoples R China

The efficient detection of dopamine (DA) is extremely important for human health. In this paper, gold nanoclusters (AuNCs) modified by glutathione (GSH) and 11-mercaptoundecanoic acid (11-MUA) were synthesized at room temperature. The amino pillar[5]arene (AP5) can be loaded onto the surface of AuNCs through classical EDC/NHS condensation reaction to obtain the AP5-AuNCs nanocomposite. The proposed AP5-AuNCs fluorescent probe is designed for DA detection. The fluorescence of AP5-AuNCs probe can be quenched effectively by electron transfer of oxidized DA. The linear range of DA was 5-700 nM and the detection limit was 1.5 nM. The probe was applied to the determination of DA in human urine samples, the recovery rate of DA was 98.97-100.29%. The relative standard deviation (RSD) was in the range of 1.56-2.31. This indicated that the present method can be applied to detection of dopamine in human urine samples.

关键词： Gold nanoparticles Amino pillar[5]arene Fluorescence probes Sensor Dopamine

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Identification of unhealthy Panax notoginseng from different geographical origins by means of multi-label classification

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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2019年 222卷 117243-000页

作者： Yang, Xiaodong Song, Jie Wu, Xin Xie, lin liu, xuwen li, Guanglin Southwest Univ Coll Engn & Technol Chongqing 400715 Peoples R China

Root-knot nematode is a common plant-parasitic pest with a highly destructive that infects more than 2000 plant species. Panax notoginseng (P. notoginseng) is one of the most susceptible traditional medicine. More importantly, it is difficult to distinguish the powders of P. notoginseng infected with root-knot nematode from those of healthy P. notoginseng due to the color and shape are same after being ground into powder. In this paper, Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) was used to identify P. notoginseng samples. Multiplicative scatter correction (MSC) was applied to preprocess the spectral data. Competitive adaptive reweighted sampling (CARS) and successive projection algorithm (SPA) were employed to select feature variables. Density-based spatial clustering of application with noise (DBSCAN) was adopted to discover groups within the data. Also, we found that the geographical origin is a pivotal factor to consider when identifying unhealthy P. notoginseng. Therefore, we introduced a novel multi-label classification (MLC) method to identify healthy and unhealthy P. notoginseng powders from three different geographical origins. In addition, binary relevance method (BR), classifier chain (CC), ensembles of classifier chains (ECC), and multilayer perceptron classifier (MLPC) were applied to create classification models, ECC exhibits superior performance in particular. (C) 2019 Elsevier B.V. All rights reserved.

关键词： Panax notoginseng Root-knot nematode Geographical origin Multi-label classification

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早熟棉花新品种金垦1161的选育及栽培技术

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种子 2020年第1期39卷 140-141页

作者：王旭文余渝孔宪辉刘丽王娟新疆农垦科学院棉花研究所/农业部西北内陆区棉花生物学与遗传育种重点实验室

金垦1161是新疆农垦科学院棉花研究所以ZJ 6为母本,X 4为父本,通过杂交系谱法选育而成的早熟棉花新品种。2015—2016年进入新疆棉花品种区域试验,皮棉平均产量2098.5 kg·hm^-2,比对照新陆早36号增产20.2%。2017年参加新疆棉花品种... 详细信息

金垦1161是新疆农垦科学院棉花研究所以ZJ 6为母本,X 4为父本,通过杂交系谱法选育而成的早熟棉花新品种。2015—2016年进入新疆棉花品种区域试验,皮棉平均产量2098.5 kg·hm^-2,比对照新陆早36号增产20.2%。2017年参加新疆棉花品种生产试验,皮棉平均产量1980.0 kg·hm^-2,为对照新陆早61号的99.7%。金垦1161高抗枯萎病,耐黄萎病,2018年通过新疆维吾尔自治区农作物品种审定委员会审定,适宜在新疆北疆早熟棉区种植。

关键词：棉花金垦1161 选育栽培技术

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纺织品行业的全球竞争格局与可持续发展路径探讨

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西部皮革 2025年第5期47卷 5-7页

作者：曹蓄温李淼吴玥史咏洁常州纺织服装职业技术学院马来亚大学

随着全球化的快速推进和国际贸易的兴旺发展，纺织品行业作为全球贸易的重要领域，其格局已经历了显著转变。作为全球纺织品生产和出口的主导国家，中国企业正面临日益复杂的国际市场环境。中国纺织行业通过优化产业结构和转变增长动力... 详细信息

随着全球化的快速推进和国际贸易的兴旺发展，纺织品行业作为全球贸易的重要领域，其格局已经历了显著转变。作为全球纺织品生产和出口的主导国家，中国企业正面临日益复杂的国际市场环境。中国纺织行业通过优化产业结构和转变增长动力，加速技术改造和升级，不断提升其国际竞争力，并积极融入全球供应链。文章从国际经济与贸易的视角出发，深入分析了纺织品行业的全球竞争态势、国际贸易政策，以及企业如何在不断变化的市场中实现发展与突破。

关键词：纺织品行业全球化可持续发展

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TRIM66 reads unmodified H3R2K4 and H3K56ac to respond to DNA damage in embryonic stem cells

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NATURE COMMUNICATIONS 2019年第1期10卷 1-17页

作者： Chen, Jiajing Wang, Zikang Guo, Xudong li, Fudong Wei, Qingtao Chen, xuwen Gong, Deshun Xu, Yanxin Chen, Wen liu, Yongrui Kang, Jiuhong Shi, Yunyu Univ Sci & Technol China Hefei Natl Lab Phys Sci Microscale Hefei 230026 Anhui Peoples R China Univ Sci & Technol China Sch Life Sci Hefei 230026 Anhui Peoples R China Tongji Univ Shanghai Matern & Infant Hosp 1Clin & Translat R Shanghai Key Lab Signaling & Dis ResInst Adv Stu Collaborat Innovat Ctr Brain SciSch Life Sci & T Shanghai 200092 Peoples R China Tsinghua Univ Beijing Adv Innovat Ctr Struct Biol Tsinghua Peking Joint Ctr Life Sci Sch Life Sci Beijing 100084 Peoples R China

Recognition of specific chromatin modifications by distinct structural domains within "reader" proteins plays a critical role in the maintenance of genomic stability. However, the specific mechanisms involved in this process remain unclear. Here we report that the PHD-Bromo tandem domain of tripartite motif-containing 66 (TRIM66) recognizes the unmodified H3R2-H3K4 and acetylated H3K56. The aberrant deletion of Trim66 results in severe DNA damage and genomic instability in embryonic stem cells (ESCs). Moreover, we find that the recognition of histone modification by TRIM66 is critical for DNA damage repair (DDR) in ESCs. TRIM66 recruits Sirt6 to deacetylate H3K56ac, negatively regulating the level of H3K56ac and facilitating the initiation of DDR. Importantly, Trim66-deficient blastocysts also exhibit higher levels of H3K56ac and DNA damage. Collectively, the present findings indicate the vital role of TRIM66 in DDR in ESCs, establishing the relationship between histone readers and maintenance of genomic stability.

关键词： DNA damage and repair Embryonic stem cells Structural biology

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Influence of cutting and clamping forces on machining distortion of diesel engine connecting rod

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2018年第1-4期99卷 897-910页

作者： Zhou, Honggen Wang, Chuhui Jing, xuwen Tian, Guizhong li, Guochao liu, Shan Sun, Zhengkun Jiangsu Univ Sci & Technol Sch Mech Engn Zhenjiang Peoples R China Jiangsu Univ Sci & Technol Jiangsu Prov Key Lab Adv Mfg Marine Mech Equipmen Zhenjiang Peoples R China

As an important transmission component of diesel engines, the connecting rod has to meet a very high processing accuracy. However, as an elongated part, the connecting rod has a weak rigidity, and the unevenness of the cutting force and the clamping force during the machining processes will lead to the deformation of the connecting rod. In previous researches, cutting and clamping are always studied separately, and their interactions are neglected. In this paper, the finite element simulation method is used to analyze the deformation of the connecting rod. Based on the Deform-3D software, the article builds a connecting rod milling finite element simulation model and predicts the residual stress of the connecting rod milling simulation and the formation of milling chips. The residual stress of the simulation is compared with the residual stress of the experimental measurement and the simulation chip is compared with the actual chip to verify the accuracy of the simulation model, which provides a theoretical basis for the model construction of the next simulation study. Based on the Deform-3D software, simulation studies the influence of different milling parameters on the deformation of the connecting rods. And optimize the link milling process parameters. Based on ANSYS software, the effect of superposition of cutting force and clamping force on machining deformation of the connecting rod was simulated and analyzed. The resultant milling force should not be greater than 734N. This method makes up for the defects that cutting and clamping are studied separately and their interactions are neglected.

关键词： Connecting rod Machining deformation Finite element simulation Simulation model

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基于实体嵌入和长短时记忆网络的入侵检测方法

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中国科学院大学学报（中英文） 2020年第4期37卷 553-561页

作者：赖训飞梁旭文谢卓辰李宗旺中国科学院上海微系统与信息技术研究所上海200050 上海科技大学信息学院上海201210 中国科学院上海微小卫星工程中心上海201203 中国科学院大学北京100049

针对网络入侵检测过程中无法有效处理入侵数据中分类变量的表示,导致网络入侵检测准确率低、漏报率高等问题,提出一种基于实体嵌入和长短时记忆网络(long short-term memory network,LSTM)相结合的网络入侵检测方法。首先,在数据预处理... 详细信息

针对网络入侵检测过程中无法有效处理入侵数据中分类变量的表示,导致网络入侵检测准确率低、漏报率高等问题,提出一种基于实体嵌入和长短时记忆网络(long short-term memory network,LSTM)相结合的网络入侵检测方法。首先,在数据预处理时,将表示网络特征数据中的数值型变量和分类型变量数据分开,通过实体嵌入方法将分类型变量数据映射在一个欧几里得空间,得到一个向量表示,再将这个向量嵌入到数值型数据后面得到输入数据。然后,通过把数据输入到长短时记忆网络中去训练,通过时间反向传播更新参数,得到最优嵌入向量作为输入特征的同时,也得到一个相对最优的LSTM网络的检测模型。在数据集NSL-KDD上进行实验验证,结果表明实体嵌入是一种有效处理网络入侵数据中分类变量的方法,它和LSTM网络相结合组成的模型能够有效提高入侵检测率。在数据预处理时对分类变量的处理中,实体嵌入方法与传统的One-Hot编码方法相比,检测的准确率提高1.44个百分点,漏报率降低2.99个百分点。

关键词：实体嵌入长短时记忆网络入侵检测分类变量

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Thallium pollution in China and removal technologies for waters: A review

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ENVIRONMENT INTERNATIONAL 2019年 126卷 771-790页

作者： liu, Juan Luo, xuwen Sun, Yuqing Tsang, Daniel C. W. Qi, Jianying Zhang, Weilong li, Nuo Yin, Meiling Wang, Jin lippold, Holger Chen, Yongheng Sheng, Guodong Guangzhou Univ Guangdong Prov Key Lab Radionuclides Pollut Contr Key Lab Water Qual & Conservat Pearl River Delta Inst Environm Res Greater BayMinist EducSch Env Guangzhou 510006 Guangdong Peoples R China Hong Kong Polytech Univ Dept Civil & Environm Engn Hung Hom Kowloon Hong Kong Peoples R China Minist Environm Protect South China Inst Environm Sci Guangzhou 510655 Guangdong Peoples R China Helmholtz Zentrum Dresden Rossendorf Inst Ressourcenokol D-04318 Leipzig Germany Shaoxing Univ Coll Chem & Chem Engn Shaoxing 312000 Peoples R China

Thallium (Tl) is a typical toxic metal, which poses a great threat to human health through drinking water and the food chain (biomagnification). China has rich Tl-bearing mineral resources, which have been extensively explored and utilized, leading to release of large amounts of Tl into the environment. However, research on Tl pollution and removal techniques is relatively limited, because Tl has not been listed within the scope of environmental monitoring in China for several decades. This paper reviewed Tl pollution in wastewater arising from various industries in China, as well as the latest available methods for treating Tl-containing industrial wastewater, in order to give an outlook on effective technologies for controlling Tl pollution. Conventional physical and chemical treatment technologies are efficient at removing trace amounts of Tl, but it proved to be difficult to achieve the stringent environmental standard (<= 0.1-5 mu g/L) cost-effectively. Adsorption by using newly developed nanomaterials, and metal oxide modified polymer materials and microbial fuel cells are highly promising and expected to become next-generation technologies for remediation of Tl pollution. With the potential for greater Tl contamination in the environment under accelerated growth of industrialization, researches based on lab-scale implementation of such promising treatment technologies should be further expanded to pilot and industrial scale, ensuring environmental protection and the safety of drinking water for sustainable development. Comprehensive insights into experiences of Tl pollution in China and in-depth perspectives on new frontier technologies of Tl removal from wastewaters will also benefit other nations/regions worldwide, which are susceptible to high exposure to Tl likewise.

关键词： Thallium pollution Industrial wastewater treatment Anthropogenic source Nanomaterials

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江苏省不同营养状况湖泊底栖动物群落结构与多样性比较

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生态毒理学报 2017年第1期12卷 163-172页

作者：李娣李旭文牛志春张军毅徐东炯李继影陈明陈志芳曹毅李朝卜伟于红霞南京大学环境学院污染控制与资源化研究国家重点实验室南京210046 江苏省环境监测中心南京210036 无锡市环境监测中心站无锡214000 常州市环境监测中心常州213001 苏州市环境监测中心苏州215004 南京市环境监测中心站南京210013 扬州市环境监测中心站扬州225007 宿迁市环境监测中心站宿迁223800 徐州市环境监测中心站徐州221006 泰州市环境监测中心站泰州225300

为了解江苏省湖泊底栖动物群落结构和多样性并研究其对水环境质量变化的响应,于2012年春秋两季对江苏省16个湖泊51个采样点湖泊底栖动物群落结构与多样性以及湖泊综合营养状态指数进行调查,分析水质指标与底栖动物指数间Pearson相关关... 详细信息

为了解江苏省湖泊底栖动物群落结构和多样性并研究其对水环境质量变化的响应,于2012年春秋两季对江苏省16个湖泊51个采样点湖泊底栖动物群落结构与多样性以及湖泊综合营养状态指数进行调查,分析水质指标与底栖动物指数间Pearson相关关系。结果表明,江苏省16个湖泊营养状态指数范围为35.5~66.4,其中约81.2%的湖泊处于轻度-中度富营养状态,表明水质从好到中度污染;湖泊底栖动物优势种为寡毛类的霍甫水丝蚓(limnodrilus hoffmeisteri),优势度为13.0%;香浓多样性指数(Shannon-Wiener diversity index)范围为0.00~2.20,级别范围由极贫乏到较丰富状态,表明水质污染程度从重度到轻度污染。从全省尺度看,水质评价结果与生物学(香浓多样性指数、Pielou均匀度指数和Biotic Index(BI)指数)评价结果存在一定差异。与历史数据相比,江苏省湖泊底栖动物清洁敏感物种减少甚至消失,总体群落结构趋于小型化。16个湖泊水体总氮和总磷与底栖动物密度呈显著负相关,而综合营养状态指数与底栖动物指数(香浓多样性指数、Pielou均匀度指数和BI指数)间关系不显著。上述研究结果表明综合营养状态指数无法完全客观反映湖泊水生态健康状况,因此需要综合水质、水文、水生生物、生境状况等因素发展新的评价指标体系。

关键词：江苏省富营养化底栖动物多样性

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