检索结果-南通市图书馆

北方园艺 2008年第5期 239-241页

作者：和润喜石卓功西南林学院资源学院云南昆明650224

以母猪果为原料,分别以水和80%的乙醇为溶剂进行豆腐果甙提取,结果表明水提取法较乙醇提取法工艺简单但提取得率低,水提取法的豆腐果甙得率为0.43%,乙醇提取法的得率为0.63%。

关键词：母猪果豆腐果甙提取工艺

在线全文

学校读者我要写书评

暂无评论

大路岗隧道防水技术与施工工艺

山西建筑 2007年第26期33卷 330-331页

作者：夏润禾中铁十二局集团第四工程有限公司

简述了粤赣高速公路上陵至埔前段大路岗隧道初期喷锚支护和二次衬砌防排水系统的施工工艺,总结了防水的原则,并通过工程实际的运用,取得了良好的防水效果,为山岭高速公路隧道的防排水技术积累了施工经验。

关键词：隧道施工工艺防水技术复合式防水板

基于杯[4]芳烃的选择性识别有机酸的荧光传感器

在线全文

学校读者我要写书评

暂无评论

华南理工大学学报（自然科学版） 2007年第4期35卷 20-24页

作者：刘军民王润和杭义萍廖世军华南理工大学化学科学学院广东广州510640

以杯[4]芳烃为平台、氨基吡啶基团为识别位点、萘环为荧光基团,合成了一类新型荧光化学传感器.采用红外光谱、质谱、核磁共振和元素分析方法对产物进行了表征,并对产物的性能及荧光分子识别有机酸的机理进行了研究.结果表明,所合成的荧... 详细信息

以杯[4]芳烃为平台、氨基吡啶基团为识别位点、萘环为荧光基团,合成了一类新型荧光化学传感器.采用红外光谱、质谱、核磁共振和元素分析方法对产物进行了表征,并对产物的性能及荧光分子识别有机酸的机理进行了研究.结果表明,所合成的荧光分子在乙腈溶液中能选择性识别芳香族有机酸,表现出荧光淬灭现象,其与有机酸络合能力的大小依次为:对氰基苯甲酸>对氯苯甲酸>对甲氧基苯甲酸>苯甲酸.

关键词：杯芳烃荧光化学传感器选择性识别有机酸

在线全文

学校读者我要写书评

暂无评论

地铁联络通道冻结法事故致因风险及应急对策

建筑技术 2021年第10期52卷 1266-1268页

作者：夏润禾中交第二公路工程局有限公司西安710065

依托某地铁冻结法施工联络通道突水涌泥险情案例,总结分析事故发生的诱因和规律,探究地面塌陷灾变机理分析,系统分析施工过程中的致险因素,研究产生风险后的应对措施。通过分析事故案例,总结了联络通道冻结法施工诱发地面塌陷灾变机理。

关键词：地铁盾构地层冻结法联络通道致因风险应急处置

Feedback processing in the primate brain and in AI systems

在线全文

学校读者我要写书评

暂无评论

Science China(Technological Sciences) 2024年第8期67卷 2297-2309页

作者： JIANG Yong he Sheng Institute of Biophysics Chinese Academy of SciencesBeijing 100101China Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefei 230088China University of Chinese Academy of Sciences Beijing 100049China

The primate brain and artificial intelligence(AI) can both be conceptualized as information processing systems, each with its own distinct biological and computational architectures. While there are parallels between them, their respective structural and functional connections show significant differences. In this paper, we examine the central role of feedback processing in both the primate brain and AI systems, which has been shown to be crucial in shaping neural processing. By reviewing the key features of feedback processes in the primate brain, which allows the brain to incorporate prior knowledge, contextual information, and taskdemands into early-stage processing, we highlight the divergence in goals and functions between biological and AI *** these differences is crucial for elucidating the cognitive capabilities of the primate brain and for addressing computational challenges in AI. In advocating “Cognition-Inspired-Computation”, we suggest that integrating insights from feedback processing in the primate brain into AI research will offer potentially significant improvements for the advancement of AI systems.

关键词： cognitive neuroscience artificial intelligence feedback processing attention learning

同方期刊数据库

在线全文

学校读者我要写书评

暂无评论

其岭隧道施工安全风险评估与控制技术研究

安全与环境工程 2012年第6期19卷 131-136页

作者：夏润禾周云于红利中国交通建设集团第二公路工程局有限公司西安710065

随着高速铁路向西部地区建设的快速延伸,建设高标准的隧道工程将越来越多。由于高速铁路隧道工程在施工过程中具有隐蔽性、作业空间狭窄、地质条件不确定等特点,决定了铁路隧道在施工过程中存在诸多不确定性的风险因素,使得发生各类安... 详细信息

随着高速铁路向西部地区建设的快速延伸,建设高标准的隧道工程将越来越多。由于高速铁路隧道工程在施工过程中具有隐蔽性、作业空间狭窄、地质条件不确定等特点,决定了铁路隧道在施工过程中存在诸多不确定性的风险因素,使得发生各类安全事故的概率高于其他工程,因此在铁路隧道建设全过程中通过开展施工安全风险管理工作,将有利于降低事故发生的可能性,有利于控制风险事故后果的损失。本文以贵广铁路其岭隧道为例,对其施工过程中的主要风险进行了识别,并提出了相应的风险管理控制措施,以为其他同类工程提供借鉴。

关键词：高速铁路其岭隧道工程风险评估风险控制措施

维普期刊数据库博看期刊

Chemotherapy induces breast cancer stem cell enrichment through repression of glutathione S-transferase Mu

在线全文

学校读者我要写书评

暂无评论

Genes & Diseases 2024年第2期11卷 528-531页

作者： Jing he Yiran Yu Yilin he Jie he Guangyu Ji Haiquan Lu The Second Hospital and Advanced Medical Research Institute Cheeloo College of MedicineShandong UniversityJinanShandong 250012China Department of Nursing The First Affiliated Hospital of Shandong First Medical UniversityJinanShandong 250014China School of Medicine Xinjiang Medical UniversityUrumqiXinjiang 830054China School of Medicine Binzhou Medical UniversityYantaiShandong 264003China Oncology Department Jinan Zhangqiu District People's HospitalJinanShandong 250200China Key Laboratory for Experimental Teratology of the Ministry of Education Cheeloo College of MedicineShandong UniversityJinanShandong 250012China Center for Reproductive Medicine Shandong UniversityJinanShandong 250012China

Triple-negative breast cancer(TNBC)has aggressive characteristics as exemplified by the high risk of recurrence,metastasis,and patient mortality.1 Cytotoxic chemotherapy may reduce tumor burden initially,but leave behind chemo-resistant breast cancer stem cells(BCSCs)that lead to tumor recurrence and metastasis.2 Chemotherapy induces BCsC enrichment through the activation of glutathione biosynthesis pathways,which increases intracellular glutathione levels and specifies the BCSC phenotype through complicated downstream signaling pathways.3 Glutathione S-transferases(GSTs),a superfamily(which contains seven cytosolic classes:Alpha,Kappa,Mu,Omega,Pi,Theta,and Zeta,and one microsomal class MGSTs)of phase Il enzymes that catalyze the conjugation of glutathione with electrophilic compounds,play a critical role in detoxification and chemotherapy resistance of cancer ***,the role of GSTs in the regulation of BCSCs is largely elusive.

关键词： chemotherapy breast metastasis

基于轻量卷积网络的田间自然环境杂草识别方法

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

吉林大学学报（工学版） 2021年第6期51卷 2304-2312页

作者：徐艳蕾何润翟钰婷赵宾李陈孝吉林农业大学信息技术学院长春130118

针对田间自然环境下杂草识别精度低和检测速度慢的问题,本文依据自然环境杂草图像数据的特性,在Xception卷积网络的基础上构建了一种基于轻量卷积网络的杂草识别模型。首先改进Xception模型,采用ELU作为模型的激活函数,并使用全局最大... 详细信息

针对田间自然环境下杂草识别精度低和检测速度慢的问题,本文依据自然环境杂草图像数据的特性,在Xception卷积网络的基础上构建了一种基于轻量卷积网络的杂草识别模型。首先改进Xception模型,采用ELU作为模型的激活函数,并使用全局最大池化层对最后一层卷积进行下采样。然后,对原始数据进行背景分割和数据增强处理,在迁移后的模型上继续微调,训练得到最佳的杂草识别模型。在相同的试验条件下,与VGG16、VGG19、ResNet50和Inception-V3四种标准的深度卷积网络模型进行比较,结果显示,本文模型的整体性能最好,对自然条件下8类杂草及苗期玉米的平均测试识别准确率高达98.63%,改进模型的规模为83.5 MB,单张杂草图像检测平均耗时仅为63.8 ms。本文研究结果可为田间自然环境下精准喷药的实施提供理论基础和技术支持。

关键词：人工智能杂草识别轻量卷积激活函数迁移学习

A deep reinforcement learning approach to gasoline blending real-time optimization under uncertainty

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Chemical Engineering 2024年第7期71卷 183-192页

作者： Zhiwei Zhu Minglei Yang Wangli he Renchu he Yunmeng Zhao Feng Qian Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

The gasoline inline blending process has widely used real-time optimization techniques to achieve optimization objectives,such as minimizing the cost of ***,the effectiveness of real-time optimization in gasoline blending relies on accurate blending models and is challenged by stochastic ***,we propose a real-time optimization algorithm based on the soft actor-critic(SAC)deep reinforcement learning strategy to optimize gasoline blending without relying on a single blending model and to be robust against *** approach constructs the environment using nonlinear blending models and feedstocks with *** algorithm incorporates the Lagrange multiplier and path constraints in reward design to manage sparse product *** abstracted states facilitate algorithm convergence,and the normalized action vector in each optimization period allows the agent to generalize to some extent across different target production *** these well-designed components,the algorithm based on the SAC outperforms real-time optimization methods based on either nonlinear or linear *** even demonstrates comparable performance with the time-horizon based real-time optimization method,which requires knowledge of uncertainty models,confirming its capability to handle uncertainty without accurate *** simulation illustrates a promising approach to free real-time optimization of the gasoline blending process from uncertainty models that are difficult to acquire in practice.

关键词： Deep reinforcement learning Gasoline blending Real-time optimization Petroleum Computer simulation Neural networks

Porous TiFe_(2) intermetallic compound fabricated via elemental powder reactive synthesis

在线全文

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 2024年第4期31卷 764-772页

作者： Qian Zhao Zhenli he Yuehui he Yue Qiu Zhonghe Wang Yao Jiang State Key Laboratory of Powder Metallurgy Powder Metallurgy Research InstituteCentral South UniversityChangsha 410083China

Porous intermetallics show potential in the field of filtration and separation as well as in the field of ***,porous Ti Fe2intermetallics were fabricated by the reactive synthesis of elemental *** phase transformation and pore formation of porous TiFe2intermetallics were investigated,and its corrosion behavior and hydrogen evolution reaction(heR)performance in alkali solution were *** TiFe2intermetallics with porosity in the range of 34.4%-56.4%were synthesized by the diffusion reaction of Ti and Fe elements,and the pore formation of porous TiFe2intermetallic compound is the result of a combination of the bridging effect and the Kirkendall *** porous TiFe2samples exhibit better corrosion resistance compared with porous 316L stainless steel,which is related to the formation of uniform nanosheets on the surface that hinder further corrosion,and porous TiFe2electrode shows the overpotential of 220.6 and 295.6 mV at 10 and 100 mA·cm-2,suggesting a good catalytic *** synthesized porous Fe-based intermetallic has a controllable pore structure as well as excellent corrosion resistance,showing its potential in the field of filtration and separation.

关键词： TiFe2 intermetallic compound porous materials reactive synthesis corrosion behavior hydrogen evolution reaction