检索结果-南通市图书馆

Chinese Medical Journal 2016年第7期129卷 879-880页

作者： zeng-Zhi lian Yi-Feng Sun Cheng Chen Department of Respiratory Medicine The First Hospital of Taicang City Taicang Jiangsu 215400 China Department of Respiratory Medicine The First Affiliated Hospital of Soochow University Suzhou Jiangsu 215006 China

To the Editor： Nivolumab, an antibody that blocks the immune-checkpoint inhibitor programmed cell death protein 1 （PD-1）, has recently shown some promising results in clinical trials for all nonsmall cell lung cancer subtypes It is required that clinic practice about anti-PD-I antibodies provided real data never observed in previously known clinical trials. In addition, It is also needed to assess the role ofnivolumab in tile subsequent therapy oftyrosine kinase inhibitor （TKI） acquired resistance.

关键词： immune-checkpoint inhibitor programmed

SIRT3激动剂厚朴酚通过抑制海马神经元铁死亡缓解小鼠术后认知功能障碍

在线全文

学校读者我要写书评

暂无评论

中国病理生理杂志 2024年第5期40卷 827-835页

作者：黄涛韩甜甜许倩倩张振胡鹏超丁旭东罗辉宇曾炼湖北医药学院附属襄阳市第一人民医院湖北武汉430000 华中科技大学同济医学院附属同济医院麻醉科湖北武汉430000

目的:探究沉默信息调节因子3(SIRT3)激动剂厚朴酚(HKL)在小鼠术后认知功能障碍(POCD)中的作用及其可能机制。方法:将10月龄雄性C57/BL6小鼠随机分成对照(Con)组、手术(Sur)组和Sur+HKL组(n=10)。Sur+HKL组小鼠给予HKL腹腔注射预处理7 d,... 详细信息

目的:探究沉默信息调节因子3(SIRT3)激动剂厚朴酚(HKL)在小鼠术后认知功能障碍(POCD)中的作用及其可能机制。方法:将10月龄雄性C57/BL6小鼠随机分成对照(Con)组、手术(Sur)组和Sur+HKL组(n=10)。Sur+HKL组小鼠给予HKL腹腔注射预处理7 d,Sur和Sur+HKL组小鼠均采用胫骨骨折切开复位内固定术的方法建立POCD模型。使用旷场实验、新物体识别实验、Morris水迷宫实验和Y迷宫实验来检测小鼠的认知功能;尼氏染色评价小鼠海马和皮层神经元形态、结构和活力;Western blot检测小鼠海马谷胱甘肽过氧化物酶4(GPX4)、溶质载体家族7成员11(SLA7A11)、酰基辅酶A合成酶长链家族成员4(ACSL4)、SIRT3和核因子E2相关因子2(NRF2)蛋白的表达;免疫荧光染色测定GPX4表达水平。结果:与Con组比较,Sur组和Sur+HKL组小鼠在旷场实验中移动的总距离和中央区域探索时间差异无统计学意义(P>0.05);新物体识别实验和Y迷宫实验结果显示,Sur组小鼠识别指数和轮替次数较Con组显著降低(P<0.01),侧臂封锁再通后,小鼠进入新臂的距离百分比和次数百分比显著下降(P<0.01);水迷宫训练时Sur组小鼠潜伏期较Con组下降缓慢,测试时Sur组小鼠潜伏期、目的象限穿越次数及穿越时间百分比均显著低于Con组(P<0.01);与Sur组比较,Sur+HKL组上述指标均显著升高(P<0.01)。尼氏染色结果显示,Sur组小鼠海马CA1区和内侧前额叶皮层的神经元染色较浅,尼氏染色阳性神经元数量显著下降(P<0.01);HKL治疗后神经元活力明显增强。Western blot结果显示,与Con组比较,Sur组SIRT3、GPX4、SLC7A11和NRF2蛋白表达水平显著降低(P<0.05),ACLS4蛋白表达水平显著升高(P<0.05);与Sur组比较,Sur+HKL组上述结果被逆转,差异有统计学意义(P<0.05)。海马神经元的免疫荧光染色与Western blot结果一致,Sur组海马区神经元中GPX4的表达水平显著下降,HKL显著升高神经元GPX4的表达水平(P<0.01)。结论:SIRT3激动剂HKL缓解小鼠POCD,其作用机制可能是抑制了海马神经元铁死亡。

关键词：厚朴酚术后认知功能障碍铁死亡沉默信息调节因子3

Effects of Sn Addition on Core Loss and Texture of Non-Oriented Electrical Steels

同方期刊数据库博看期刊评论

在线全文

学校读者我要写书评

暂无评论

Journal of Iron and Steel Research International 2009年第6期16卷 86-89页

作者： DONG Hao ZHAO Yu YU Xiao-jun lian Fa-zeng Shougang Research Institute of Technology Beijing 100041 China Functional Materials Branch Advanced Technology and Materials Co Ltd Beijing 100081 China School of Material and Metallurgy Northeastern University Shenyang 110004 Liaoning China

The effects of Sn addition on core loss and texture of non-oriented electrical steels were investigated. Experiments revealed that the core loss of non-oriented electrical steels could be obviously decreased and the intensity of {111 } texture and { 112} texture of final annealed specimens could be markedly reduced by Sn addition. The reasons for reducing core loss and the intensity of unfavorable texture were analyzed.

关键词： non-oriented steel Sn segregation core loss texture

中国服务业开放对制造业性别工资差距的影响——基于中国工业企业数据库的实证研究

在线全文

学校读者我要写书评

暂无评论

中国商论 2024年第18期33卷 124-128页

作者：张媛媛连增李美君北京外国语大学国际商学院北京100089

基于服务业与制造业两业融合的视角,文章从服务业开放的角度实证检验了中国服务业开放对制造业性别工资差距的影响及其作用机制。结果表明:中国的服务业开放会通过成本机制、全要素生产率机制和出口机制三条路径,显著缩小制造业企业中... 详细信息

基于服务业与制造业两业融合的视角,文章从服务业开放的角度实证检验了中国服务业开放对制造业性别工资差距的影响及其作用机制。结果表明:中国的服务业开放会通过成本机制、全要素生产率机制和出口机制三条路径,显著缩小制造业企业中存在的性别工资差距。在实证分析的基础上,国家层面应继续扩大服务业开放程度,促进制造业行业内和不同地区均衡发展,并从企业成本和生产率入手继续缩小性别工资差距。

关键词：服务业开放制造业性别工资差距女性就业服务业

同方期刊数据库博看期刊

Low-Rank Optimal Transport for Robust Domain Adaptation

在线全文

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1667-1680页

作者： Bingrong Xu Jianhua Yin Cheng lian Yixin Su Zhigang zeng IEEE the School of Automation Wuhan University of TechnologyWuhan 430070China Intelligent Transportation Systems Research Center Wuhan University of TechnologyWuhan 430063 Chongqing Research Institute Wuhan University of TechnologyChongqingChina the School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074 the Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074China

When encountering the distribution shift between the source(training) and target(test) domains, domain adaptation attempts to adjust the classifiers to be capable of dealing with different domains. Previous domain adaptation research has achieved a lot of success both in theory and practice under the assumption that all the examples in the source domain are welllabeled and of high quality. However, the methods consistently lose robustness in noisy settings where data from the source domain have corrupted labels or features which is common in reality. Therefore, robust domain adaptation has been introduced to deal with such problems. In this paper, we attempt to solve two interrelated problems with robust domain adaptation:distribution shift across domains and sample noises of the source domain. To disentangle these challenges, an optimal transport approach with low-rank constraints is applied to guide the domain adaptation model training process to avoid noisy information influence. For the domain shift problem, the optimal transport mechanism can learn the joint data representations between the source and target domains using a measurement of discrepancy and preserve the discriminative information. The rank constraint on the transport matrix can help recover the corrupted subspace structures and eliminate the noise to some extent when dealing with corrupted source data. The solution to this relaxed and regularized optimal transport framework is a convex optimization problem that can be solved using the Augmented Lagrange Multiplier method, whose convergence can be mathematically proved. The effectiveness of the proposed method is evaluated through extensive experiments on both synthetic and real-world datasets.

关键词： Domain adaptation low-rank constraint noise corruption optimal transport

How to improve machine learning models for lithofacies identification by practical and novel ensemble strategy and principles

在线全文

学校读者我要写书评

暂无评论

Petroleum Science 2023年第2期20卷 733-752页

作者： Shao-Qun Dong Yan-Ming Sun Tao Xu lian-Bo zeng Xiang-Yi Du Xu Yang Yu liang State Key Laboratory of Petroleum Resources and Prospecting China University of PetroleumBeijing102249China College of Science China University of PetroleumBeijing102249China College of Geoscience China University of PetroleumBeijing102249China

Typically, relationship between well logs and lithofacies is complex, which leads to low accuracy of lithofacies identification. Machine learning (ML) methods are often applied to identify lithofacies using logs labelled by rock cores. However, these methods have accuracy limits to some extent. To further improve their accuracies, practical and novel ensemble learning strategy and principles are proposed in this work, which allows geologists not familiar with ML to establish a good ML lithofacies identification model and help geologists familiar with ML further improve accuracy of lithofacies identification. The ensemble learning strategy combines ML methods as sub-classifiers to generate a comprehensive lithofacies identification model, which aims to reduce the variance errors in prediction. Each sub-classifier is trained by randomly sampled labelled data with random features. The novelty of this work lies in the ensemble principles making sub-classifiers just overfitting by algorithm parameter setting and sub-dataset sampling. The principles can help reduce the bias errors in the prediction. Two issues are discussed, videlicet (1) whether only a relatively simple single-classifier method can be as sub-classifiers and how to select proper ML methods as sub-classifiers;(2) whether different kinds of ML methods can be combined as sub-classifiers. If yes, how to determine a proper combination. In order to test the effectiveness of the ensemble strategy and principles for lithofacies identification, different kinds of machine learning algorithms are selected as sub-classifiers, including regular classifiers (LDA, NB, KNN, ID3 tree and CART), kernel method (SVM), and ensemble learning algorithms (RF, AdaBoost, XGBoost and LightGBM). In this work, the experiments used a published dataset of lithofacies from Daniudi gas field (DGF) in Ordes Basin, China. Based on a series of comparisons between ML algorithms and their corresponding ensemble models using the ensemble strat

关键词： Lithofacies identification Machine learning Ensemble learning strategy Ensemble principle Homogeneous ensemble Heterogeneous ensemble

多层级精细化的森林资源资产清查价格体系构建

在线全文

学校读者我要写书评

暂无评论

自然资源学报 2024年第1期39卷 140-152页

作者：王佳雪陈奕云赖峰张哲乐熊增连郑敏乔占明余珮珩武汉大学资源与环境科学学院武汉430072 青海省自然资源综合调查监测院西宁810001

针对当前森林资源资产清查价格体系建设中国家级均质区划分粗略、价格修正方法不完善、难以适用于多层级管理等不足,在融合使用森林现状属性、统计资料及遥感监测等多源数据的基础上,提出以价格信号数据条件情景判定为支撑,以清查工作... 详细信息

针对当前森林资源资产清查价格体系建设中国家级均质区划分粗略、价格修正方法不完善、难以适用于多层级管理等不足,在融合使用森林现状属性、统计资料及遥感监测等多源数据的基础上,提出以价格信号数据条件情景判定为支撑,以清查工作目标导向的省级均质区划分为核心,涵盖多层级价格修正方法与精细化资源类型价格修正因子的森林资源资产清查价格体系构建框架。并结合青海省清查工作实例,基于35万图斑的森林资源现状调查成果和卫星遥感等多源数据,实现了省、县两级四类林地十余种林木精细化价格体系的实证构建。提出的多层级精细化的价格体系框架构建思路及实证成果,可为中国森林资源资产的高质量管理提供询证决策支持。

关键词：森林资源资产自然资源资产清查自然资源资产价格体系均质区

Optical Properties of Self-Organized PbS Quantum Dot Superlattices

在线全文

学校读者我要写书评

暂无评论

Chinese Physics Letters 2000年第10期17卷 755-756页

作者： YE Chang-Hui YAO lian-zeng MU Ji-Mei SHI Gang ZHANG Li-De Department of Materials Science and Engineering University of Science and Technology of ChinaHefei 230026 Institute of Solid State Physics Chinese Academy of SciencesHefei 230031

Self-organization of PbS into quantum dot superlattices has been demonstrated for the first time, and hexaplanar colloidal crystals 1 - 10 μm in size made from PbS quantum dots 3 - 6 nm in diameter are revealed in transmissionelectron microscope micrographs, and the inner structures of the superlattices can be seen by a high resolution transmission electron microscopy. The optical absorption and photoluminescence spectra have been recorded. The ordering of the superlattices is crucial for the understanding of the fundamental properties of quantum-dot arrays, as well as for their optimal utilization in optical and electronic applications.

关键词： quantum planar inner

褪黑素调控自噬及铁死亡增强胰腺癌细胞PANC-1对吉西他滨的化疗敏感性

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

医药导报 2024年第4期43卷 502-510页

作者：曹健董钦鹏曾炼李恒平刘君瑞孙晓东王青松胡鹏超锦州医科大学湖北医药学院附属襄阳市第一人民医院研究生联合培养基地襄阳441000 华中科技大学同济医学院附属同济医院麻醉科武汉430030 湖北医药学院附属襄阳市第一人民医院普通外科襄阳441000 湖北医药学院附属襄阳市第一人民医院转化医学中心襄阳441000

目的探讨褪黑素联合吉西他滨对人胰腺癌细胞株PANC-1化疗敏感性的作用及其潜在的作用机制。方法单独使用吉西他滨和联合褪黑素处理人胰腺癌细胞株PANC-1,生物因子活性检测(CCK-8)检测细胞活力;克隆形成实验观察褪黑素和吉西他滨单独或... 详细信息

目的探讨褪黑素联合吉西他滨对人胰腺癌细胞株PANC-1化疗敏感性的作用及其潜在的作用机制。方法单独使用吉西他滨和联合褪黑素处理人胰腺癌细胞株PANC-1,生物因子活性检测(CCK-8)检测细胞活力;克隆形成实验观察褪黑素和吉西他滨单独或联合处理对PANC-1细胞克隆形成能力的影响;采用划痕实验和transwell实验检测细胞迁移能力;细胞活性氧和线粒体膜电位JC-1检测试剂盒测定活性氧的合成和膜电位水平;亚铁离子(Fe^(2+))荧光探针检测细胞内Fe^(2+)水平;通过免疫荧光和Western blotting检测不同处理组中LC3、P62、GPX4和SLC7A11的蛋白表达水平。结果CCK-8结果显示,吉西他滨单独处理48 h及72 h后PANC-1细胞活力受到抑制,呈时间剂量依赖性,吉西他滨联合褪黑素组的细胞活力显著低于吉西他滨组,且细胞活力随着褪黑素的浓度升高而下降;细胞划痕、transwell及平板克隆实验结果显示,吉西他滨联合褪黑素组较吉西他滨组比较,细胞的增殖及迁移能力明显受到抑制;通过荧光显微镜观察并分析得出吉西他滨联合褪黑素组的PANC-1细胞内活性氧、Fe^(2+)水平较吉西他滨组上升,线粒体膜电位显著下降(P<0.01);Western blotting及免疫荧光结果显示,吉西他滨联合褪黑素组较吉西他滨组的自噬相关蛋白LC3-II/LC3-I比值降低、P62表达上调,抗铁死亡相关蛋白GPX4及SLC7A11的表达受到显著抑制(P<0.05),提示褪黑素联合吉西他滨可抑制PANC-1细胞自噬以及促进铁死亡。结论褪黑素增加胰腺癌细胞PANC-1对吉西他滨的化疗敏感性,其作用机制可能是通过抑制细胞自噬及促进肿瘤细胞铁死亡。

关键词：褪黑素胰腺癌吉西他滨铁死亡细胞自噬

Chinese Oils Come into Their Own

在线全文

学校读者我要写书评

暂无评论

China Today 2006年第1期55卷 58-61页

作者： zeng lian

LAST November＇s China Guardian auction saw the highest bid ever for a Chinese oil painting： Mao Zedong Inspecting Rural Guangdong by Chen Yanning sold for an incredible RMB 10.12 million.

关键词：中国油画绘画主题毛泽东市场价格收藏价值