检索结果-南通市图书馆

在线全文

学校读者我要写书评

暂无评论

改性乳化沥青的生产与应用

石油沥青 2016年第1期30卷 67-72页

作者：李桂钊吕玉超张玉贞中国石油大学重质油国家重点实验室青岛266580

改性乳化沥青是一种将沥青进行改性和乳化而得到的重要化工产品,集改性沥青和乳化沥青的优点于一体,可应用于沥青路面的稀浆封层和微表处等方面,具有广阔的应用前景。该文从改性乳化沥青的发展、生产工艺及应用等方面,介绍了改性乳化沥... 详细信息

改性乳化沥青是一种将沥青进行改性和乳化而得到的重要化工产品,集改性沥青和乳化沥青的优点于一体,可应用于沥青路面的稀浆封层和微表处等方面,具有广阔的应用前景。该文从改性乳化沥青的发展、生产工艺及应用等方面,介绍了改性乳化沥青的研究现状,并指出开发新型的沥青改性剂和乳化剂及生产工艺的重要性。

关键词：改性乳化沥青改性剂乳化剂生产工艺应用

在线全文

学校读者我要写书评

暂无评论

温拌沥青混合料发展现状

石油沥青 2013年第5期27卷 1-6页

作者：吕玉超张美玉张玉贞中国石油大学重质油国家重点实验室青岛266580

在沥青混合料生产过程中,温拌与传统的热拌相比,拌和温度较低,减少了能量的消耗和有害气体的排放,且具有良好的路用性能,是一种新型的节能环保型施工工艺,具有广阔的应用前景。通过国内外文献调研,论述了温拌沥青混合料的优势与特点、... 详细信息

在沥青混合料生产过程中,温拌与传统的热拌相比,拌和温度较低,减少了能量的消耗和有害气体的排放,且具有良好的路用性能,是一种新型的节能环保型施工工艺,具有广阔的应用前景。通过国内外文献调研,论述了温拌沥青混合料的优势与特点、发展历程、现有制备工艺的种类、技术原理、温拌效果及存在的问题。

关键词：温拌沥青混合料拌和温度技术原理温拌效果

在线全文

学校读者我要写书评

暂无评论

基于GAN的肺部CT影像超分辨率重建研究

电子设计工程 2024年第7期32卷 191-195页

作者：姜茜吕玉超徐英豪朱习军青岛科技大学信息科学技术学院山东青岛266061

基于提高CT图像分辨率、丰富放大后图像纹理细节的目的,提出了RUAGAN模型。通过在生成器部分使用RRDB作为基本块,并加入局部注意力(Local aware Attention,LA)的方法提取影像中的高频信息;为提供更加真实的梯度反馈,使用U-Net网络作为... 详细信息

基于提高CT图像分辨率、丰富放大后图像纹理细节的目的,提出了RUAGAN模型。通过在生成器部分使用RRDB作为基本块,并加入局部注意力(Local aware Attention,LA)的方法提取影像中的高频信息;为提供更加真实的梯度反馈,使用U-Net网络作为鉴别器。经过实验仿真表明,改进后的模型在肺部CT图像数据集上训练,在4x放大因子上重建出的图像纹理更加丰富,有清晰真实的边缘,其峰值信噪比与结构相似性分别达到31.980和0.974,高于其他分辨率重建模型。

关键词： CT影像超分辨率重建生成对抗网络局部注意力 U-Net

在线全文

学校读者我要写书评

暂无评论

基于时间序列分解的混合短期电力负荷预测

电子设计工程 2023年第7期31卷 62-67页

作者：徐英豪姜茜吕玉超鞠亚轩朱习军青岛科技大学信息科学技术学院山东青岛266061

短期电力预测负荷是电力系统合理规划和电网稳定运行的基础,可以准确评估出地区电力负荷的变化。为了充分利用电力负荷数据的时序特征,提高短期电力负荷预测的准确性,提出了一种CEEMD-SVR-ARIMA电力负荷预测模型。该模型将电力负荷数据... 详细信息

短期电力预测负荷是电力系统合理规划和电网稳定运行的基础,可以准确评估出地区电力负荷的变化。为了充分利用电力负荷数据的时序特征,提高短期电力负荷预测的准确性,提出了一种CEEMD-SVR-ARIMA电力负荷预测模型。该模型将电力负荷数据和电力负荷影响因素数据进行数据分解,分解为不同频率的负荷数据分量和影响因素数据分量,采用Pearson相关性分析方法,选择最优分量作为SVR模型的特征输入和预测输出,同时结合ARIMA模型对低频电力负荷数据分量进行预测,将各个分量结果通过叠加得到预测结果。实验证明,该方法的负荷数据预测精度提升了1.1%,达到99.1%。

关键词：电力负荷预测 CEEMD SVR ARIMA

Silicon-coated fibrous network of carbon nanotube/iron towards stable and wideband electromagnetic wave absorption

在线全文

学校读者我要写书评

暂无评论

Journal of Materials Science & Technology 2022年第26期121卷 199-206页

作者： Xiaodi Zhou He Han yuchao Wang Cheng Zhang Hualiang lv Zhichao Lou Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources Nanjing Forestry UniversityNanjing 210037China Willian G.Lowrie Department of Chemical and Biomolecular Engineering The Ohio State UniversityColumbusOH 43210USA School of Science Wuhan University of TechnologyWuhan 430070China School of Materials Science and Engineering Henan University of Science and TechnologyLuoyang 471023China

Materials that can absorb electromagnetic(EM)wave have garnered increased attention in recent years due to their potential to mitigate the ever increasing environmental pollution by EM *** to recent advances in micro/nanofabrication,a variety of magnetic metal-based EM absorbers have been *** design and synthesis of EM absorbers that exhibit efficient and wide-band absorption at small thicknesses,however,remains *** we report the design of fibrous nanostructures consisting of magnetic iron(Fe)nanoparticles and carbon nanotubes(CNTs),which exhibits a wide-band EM absorption(3.8 GHz)while maintain the thickness at 1.2 *** our work,we created a novel core-shell structure by immersing the highly fibrous CNT-Fe structure into solid-state silicon(SiO)***,the SiO-coated CNT-Fe structures exhibit good stability against air-induced oxidation and acid corrosion while maintaining high EM ***,the results reported in this study present new avenues to absorb EM from ambient *** believe that our work elevates the utility of EM absorbers to real-world applications such as anti-acid and oxidation ability.

关键词： Fibrous network Silicon-coated nanostructure Electromagnetic pollution Magnetic-dielectric loss

Aggregation-induced narrowband isomeric fluorophores for ultraviolet nondoped OLEDs by engineering multiple nonbonding interactions

在线全文

学校读者我要写书评

暂无评论

Aggregate

Aggregate 2023年第6期4卷 191-199页

作者： Yumiao Huo Haoyuan Qi Shuyao He Jie Li Shuping Song Jichen lv yuchao Liu Ling Peng Shian Ying Shouke Yan Key Laboratory of Rubber-Plastics Ministry of EducationSchool of Polymer Science and EngineeringQingdao University of Science and TechnologyQingdaoP.R.China College of Materials Science and Engineering Shandong University of Science and TechnologyQingdaoP.R.China College of Chemistry and Chemical Engineering Heze UniversityHezeP.R.China State Key Laboratory of Chemical Resource Engineering College of Materials Science and EngineeringBeijing University of Chemical TechnologyBeijingP.R.China

Traditional donor-acceptor type organic luminescent materials usually suffer from unfavorable spectral broadening and fluorescence quenching problems arising from strong inter/intra-chromophore interactions in aggregation ***,two ultraviolet carbazole-pyrimidine isomers(named o-DCz-Pm and m-DCz-Pm)with novel aggregation-induced narrowband phenomenon are constructed and systematic investigated by experiments and theoretical *** from strengthened steric hindrance and multiple noncovalent interactions,the nonradiative decay,vibrational motion,and structural relaxation of singlet state can be effectively suppressed in aggregation ***,the electroluminescence peak of 397 nm,full width at half maximum of 21 nm and external quantum efficiency of 3.4%are achieved simultaneously in nondoped o-DCz-Pm-based *** work paves an avenue toward the development of high-performance narrowband nondoped ultraviolet materials and organic light-emitting diodes.

关键词： aggregation-induced narrowband carbazole-pyrimidine derivatives,nonbonding interactions organic light-emitting diodes ultraviolet emission

Anti-Inflammatory Glycosaminoglycan Oligosaccharides from Colwellia psychrerythraea 34H Capsule:Synthesis and Biological Evaluation

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

CCS Chemistry 2024年第7期6卷 1698-1711页

作者： Zhongtang Li Xiaoyu Sun yuchao Wang Ao Sun Linbo Fu Tongtong Geng Zihui Zhang Ximin lv Qian Wang Jing Wang Baodi Gou Xiangbao Meng Zhongjun Li State Key Laboratory of Natural and Biomimetic Drugs School of Pharmaceutical SciencesPeking UniversityBeijing 100191

Capsular polysaccharides(CPS)of Colwellia psychrerythraea 34H consist of linear tetrasaccharides repeating units in a glycosaminoglycan-like *** biological function is likely involved in the cold adaptation of microbial *** low availability of these glycosaminoglycan structures greatly limits the study of their functions and biological ***,an efficient semisynthetic strategy for CPS tetrasaccharide derivatives is achieved by using disaccharide units degraded from hyaluronic *** new synthetic process is suitable for largescale preparation,and several rare tetrasaccharide derivatives containing GalA-GalNAc were readily obtained in high *** evaluation of their anti-inflammatory effects demonstrated that these CPS tetrasaccharides effectively attenuated the lipopolysaccharide-induced sepsis and acute lung injury by decreasing macrophage infiltration and secretion of microphage-related cytokines in *** these results suggest that this new type of CPS tetrasaccharide can be developed as an anti-inflammation agent.

关键词： glycosaminoglycan oligosaccharide glycosylation anti-inflammatory agent acute lung injury

Glyco-nanocarriers Based on Galac/Lactose Derivative for Targeted Drug Delivery

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

Glyco-nanocarriers Based on Galac/Lactose Derivative for Tar...

基于坐标注意力机制融合的反无人机系统图像识别方法

中国化学会第三届全国糖化学会议

作者： Zhichao Pei Yingcheng Chang Kui Yang Yinghua lv Shoupeng Cao Xiaowen Wu yuchao Lu Yuxin Pei College of Chemistry and Pharmacy Northwest A＆F University

Glyco-nanocarriers including nano-vesicles and nano-rods based on amphiphilic pillar[5]arene and galactose derivatives for targeted drug delivery were ***,glycolvesicles based on the host-guest complexation of pillar[5]arene and galactose derivative have been constructed,which showed GSH and pH responsiveness resulting from its ferrocenium cations or disulfide bond and ferrocenecarboxylic acid units respectively,where the cancer cells targetability was resulted from galactose ***,a novel drug delivery system based on supramolecular vesicles（TP5 G） self-assembled by the host–guest complex of tryptophan（Trp）-modified pillar[5]arene（TP5） and galactose derivative（G） has been developed,where TP5 can strongly interact with DNA in cells due to its Trp-rich *** vesicles can encapsulate DOX efficiently,and be used for controllable release in response to ***,DOX-loaded TP5 G exhibited significantly enhanced cytotoxicity compared to free DOX towards hepatoma cells through the synergistic effect of TP5 with DOX,resulting from the strong interactions between Trp-rich structure of TP5 and DNA in ***,DOX-loaded TP5 G showed unexpected ability to restore the drug sensitivity of DOX-resistant hepatoma cells（HepG2/ADR）,which suggests TP5 G as a potential drug delivery system for overcoming multidrug resistance（MDR）.Thirdly,a smart drug delivery system based on porous CeO2 nano-rods capped with galactose functionalized pillar[5]arene via host–guest interactions have been constructed,which showed GSH-responsiveness,synergistic anticancer of drugs and cancer target ability resulting from its disulphide unit,ceria properties and galactose unit,***,the CeO2 nano-rods could be used not only as a drug carrier,but also as cancer cell-killing agent itself,which enhances anticancer efficiency in a synergistic *** report provides good examples for rationale design in the construction of multifunctional glyco-nanoc

关键词：

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

红外与激光工程 2022年第9期51卷 407-417页

作者：薛珊陈宇超吕琼莹曹国华长春理工大学机电工程学院吉林长春130022 长春理工大学重庆研究院重庆400000

反无人机系统是识别和打击“黑飞”无人机的有效手段,图像识别无人机是反无人机系统的关键之一。针对采集的无人机样本属于小样本、提取特征不够多,识别准确率不够高的问题,提出了一种基于迁移学习、密集卷积网络和坐标注意力机制融合... 详细信息

反无人机系统是识别和打击“黑飞”无人机的有效手段,图像识别无人机是反无人机系统的关键之一。针对采集的无人机样本属于小样本、提取特征不够多,识别准确率不够高的问题,提出了一种基于迁移学习、密集卷积网络和坐标注意力机制融合的反无人机系统图像识别方法。首先,运用自制设备采集了多种无人机在不同背景下的图片,建立数据样本;其次,设计针对无人机小样本识别的基于迁移学习、坐标注意力机制和密集卷积网络融合的网络TL-CA4-DenseNet-121、基于通道注意力机制融合的网络TL-SE4-DenseNet-121等网络,运用设计的网络对小样本进行识别,并进行对比,然后分别进行了基于不同位置和不同个数的坐标注意力模块和通道注意力模块的网络识别实验;最后,将识别效果最优的网络与经典卷积神经网络模型进行对比实验。实验结果表明,提出的TL-CA4-DenseNet-121网络识别效果优于其他网络,识别的平均准确率为97.93%,F1-Score为0.982 6,网络训练时间为6 832 s。结果表明了该网络在识别小样本无人机方面的优越性和可行性。

关键词：无人机图像识别坐标注意力机制密集卷积网络