检索结果-南通市图书馆

Trial application of the envelope method to the potential ambiguity problem

Nuclear Science and Techniques 2024年第1期35卷 73-80页

作者： Li-yuan Hu yu-Shou Song Fundamental Science on Nuclear Safety and Simulation Technology Laboratory Harbin Engineering UniversityHarbin 150001China college of Nuclear Science and Technology Harbin Engineering UniversityHarbin 150001China Key Laboratory of Nuclear Safety and Advanced Nuclear Energy Technology Ministry of Industry and Information TechnologyHarbin 150001China

The optical potential ambiguity is a long-standing problem in the analysis of elastic scattering *** a specific collid-ing system,ambiguous potential families can lead to different behaviors in the nearside and farside scattering *** contrast,the envelope method can decompose the experimental data into two components with negative and positive deflection angles,***,a question arises as to whether the comparison between the calculated nearside(or farside)component and the derived positive-deflection-angle(or negative-deflection-angle)component can help analyze the potential ambiguity *** this study,we conducted a trial application of the envelope method to the potential ambiguity *** envelope method was improved by including uncertainties in the experimental *** colliding systems of 16O+28Si at 215.2 MeV and 12C+12C at 1016 MeV were considered in the *** each colliding system,the angular distribution experimental data were described nearly equally well by two potential sets,one of which is“surface transpar-ent”and the other is *** calculated angular distributions were decomposed into nearside and farside scattering *** the improved envelope method,the experimental data were decomposed into the positive-deflection-angle and negative-deflection-angle components,which were then compared with the calculated nearside and farside *** capability of the envelope method to analyze the potential ambiguities was also discussed.

关键词： Elastic scattering Optical potential ambiguities Envelope method Nearside/farside decomposition

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

MUS Model:A Deep Learning-Based Architecture for IoT Intrusion Detection

引用

Computers, Materials & Continua 2024年第7期80卷 875-896页

作者： yu Yan yu Yang Shen Fang Minna Gao Yiding Chen college of information engineering University of Engineering of the Chinese People’s Armed Police Force(PAP)Xi’an710000China college of Missile engineering Rocket Force Engineering UniversityXi’an710000China

In the face of the effective popularity of the Internet of Things(IoT),but the frequent occurrence of cybersecurity incidents,various cybersecurity protection means have been proposed and *** them,Intrusion Detection System(IDS)has been proven to be stable and ***,traditional intrusion detection methods have shortcomings such as lowdetection accuracy and inability to effectively identifymalicious *** address the above problems,this paper fully considers the superiority of deep learning models in processing highdimensional data,and reasonable data type conversion methods can extract deep features and detect classification using advanced computer vision techniques to improve classification *** TransformField(MTF)method is used to convert 1Dnetwork traffic data into 2D images,and then the converted 2D images are filtered by UnsharpMasking to enhance the image details by sharpening;to further improve the accuracy of data classification and detection,unlike using the existing high-performance baseline image classification models,a soft-voting integrated model,which integrates three deep learning models,MobileNet,VGGNet and ResNet,to finally obtain an effective IoT intrusion detection architecture:the MUS *** types of experiments are conducted on the publicly available intrusion detection dataset CICIDS2018 and the IoT network traffic dataset N_BaIoT,and the results demonstrate that the accuracy of attack traffic detection is greatly improved,which is not only applicable to the IoT intrusion detection environment,but also to different types of attacks and different network environments,which confirms the effectiveness of the work done.

关键词： Cyberspace security intrusion detection deep learning Markov Transition Fields(MTF) soft voting integration

来源：

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

Face Recognition via Adaptive Image Combination

引用

Journal of Shanghai jiaotong university(Science) 2010年第5期15卷 600-603页

作者：于威威 college of information engineering Shanghai Maritime University

Dimension reduction and manifold learning are the two most popular feature extraction *** two methods focus on spatial locality as a guiding principle to find a low-dimensional basis for describing high-dimensional data,but no bases or features are more spatially localized than the original image ***,adaptive image combination is presented to represent a class by a combined *** combined sample is a linear combination of original samples in the same *** image combination (AIC) find the best combination coefficients by minimizing the intrapersonal distance and maximizing the interpersonal *** results show that AIC is effective.

关键词： face recognition feature extraction adaptive image combination (AIC)

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Self-assembly Induced by Complexation of Diblock Copolyelectrolytes and Oppositely Charged Homopolymers

引用

Chinese Journal of Polymer Science 2024年第9期42卷 1321-1332,I0006页

作者： Ling Zhao Zhi-yuan Yin jia-Di jiang Er-Qiang Chen Shuang Yang Beijing National Laboratory for Molecular Sciences Key Laboratory of Polymer Chemistry and Physics of Ministry of EducationCenter for Soft Mater Science and EngineeringCollege of Chemistry and Molecular EngineeringPeking UniversityBeijing100871China Beijing National Laboratory for Molecular Sciences College of Chemistry and Molecular EngineeringPeking UniversityBeijing100871China

We investigate the solution self-assembly of a mixture of positively charged homopolymers and AB diblock copolymers,in which the A blocks are negatively charged,and the B blocks are *** electrostatic complexation between oppositely charged polymers drives the formation of many ordered *** microstructures and phase diagrams are calculated using self-consistent field theory(SCFT)based on an ion-pair model with an equilibrium constant K to characterize the strength of binding between positively and negatively charged *** effects of the charge ratio,representing the ratio of charges from the homopolymer over all charges from polymers in the system,on the ordered structure are systematically studied,both for hydrophobic and hydrophilic A *** charge ratio plays an important role in determining the phase boundaries in the phase diagram of salt concentration versus polymer *** also provide information about the varying tendency of the domain spacing and core size of the spherical phase when the charge ratio is changed,and the results are in good agreement with *** studies provide a deep understanding of the self-assembled microstructures of oppositely charged diblock copolymer-homopolymer systems.

关键词： Self-assembly Polyelectrolyte complexation Self-consistent field theory Ion-pair

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

大气湍流对LIF探测海面溢油影响的BRRDF仿真研究

引用

光谱学与光谱分析 2024年第5期44卷 1379-1385页

作者：谢贝贝赵佳伟周炫宇张晓丹刘俣佳燕山大学信息科学与工程学院河北秦皇岛066004 河北省计算机虚拟技术与系统集成重点实验室河北秦皇岛066004 河北农业大学信息科学与技术学院河北保定071001 北京信息科技大学信息与通信工程学院北京100029

及时定位海面溢油事故发生地并监测海面溢油信息对海洋污染治理和海洋生态环境保护有重要意义。激光诱导荧光(LIF)可搭载于无人机构建LIF雷达系统并应用于海洋环境监测。LIF雷达系统以大气为传输信道,大气湍流会导致信号衰落。双向反射... 详细信息

及时定位海面溢油事故发生地并监测海面溢油信息对海洋污染治理和海洋生态环境保护有重要意义。激光诱导荧光(LIF)可搭载于无人机构建LIF雷达系统并应用于海洋环境监测。LIF雷达系统以大气为传输信道,大气湍流会导致信号衰落。双向反射再辐射分布函数(BRRDF)利用受激辐射荧光光子的权重、位置和方向描述物质的荧光特性,为LIF探测海面溢油提供理论指导。基于大气湍流理论和蒙特卡罗方法模拟海面溢油的受激辐射荧光过程,建立光子传输模型进行海面溢油BRRDF的仿真研究。仿真分析不同湍流强度下,光强闪烁、光束漂移、光束扩展效应对海面溢油BRRDF的影响。仿真结果表明,海面溢油受激辐射荧光信号具有各向同性,其强度与激发光的强度成正比。光束漂移效应对荧光漂移范围影响微弱,可以忽略;在弱大气湍流下(湍流强度参数σ_(R)^(2)<1),BRRDF所表征的荧光信号强度集中在2×10^(-5)~5×10^(-5)范围内,荧光光斑半径由1mm扩展至5mm,LIF雷达系统可以正常进行探测工作;大气湍流强度到达中等后(σ_(R)^(2)≈1),荧光信号强度在10^(-5)~10^(-4)范围内波动,荧光光斑半径扩展至15mm,此时大气湍流的不利影响无法忽视,LIF雷达系统探测到的荧光信号不够稳定,最终导致光谱不理想。在实际探测中,可通过适当提高探测器性能参数来增强系统的抗湍流能力。强大气湍流下(σ_(R)^(2)=25),出现光斑破裂现象,荧光信号分散并衰落至某一阈值之下,LIF雷达系统无法探测到荧光信号。文中的分析与提出的可行的研究建议,为LIF探测海面溢油相关研究提供参考依据,对LIF雷达系统设计具有一定的参考价值。

关键词：激光诱导荧光双向反射再辐射分布函数海面溢油探测大气湍流蒙特卡罗法

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Analyzing the potential mechanism of Buyang Huanwu decoction for the treatment of salt-sensitive hypertension based on network pharmacology and in vivo experiments

引用

Traditional Medicine Research 2024年第7期9卷 49-61页

作者： jian-Bo Wang Yi Qu Ren-Jun yu Guo-Rui Xu Ya-Nan Xue jia-Hao Zhang Yong-Gang Ma Li-De Zhang Traditional Chinese Medicine Innovation engineering Technology Center Liaoning University of Traditional Chinese MedicineShenyang 110847China. Key Laboratory of Visceral Image Theory and Application of Traditional Chinese Medicine Ministry of EducationShenyang 110847China. Center for Research and Evaluation of Higher Traditional Chinese Medicine Education Liaoning University of Traditional Chinese MedicineShenyang 110847China. Emergency Department Nanjing Lishui District Hospital of Traditional Chinese MedicineJiangsu 211200China. college of Acupuncture and Moxibustion Liaoning University of Traditional Chinese MedicineShenyang 110847China. Department of Rehabilitation the Second Affiliated Hospital of Liaoning University of Chinese MedicineShenyang 110034China. college of Integrated Chinese and Western Medicine Liaoning University of Traditional Chinese MedicineShenyang 110847China.

Background:Buyang Huanwu decoction(BHD)is a traditional Chinese medicine herbal formula used for treating hypertension,particularly in the later stages of hypertension when it is associated with intracerebral *** study aims to investigate the treatment mechanism of BHD to provide a basis for its clinical application in hypertension ***:Network pharmacology analysis and cell culture experiments were performed to explore the potential proteins and mechanisms of action of BHD against *** compounds related to BHD were screened,and relevant targets associated with hypertension and BHD were *** docking technology was used to identify the effective signaling pathway based on the Kyoto Encyclopedia of Genes and Genomes and protein-protein interaction network ***,the effects and mechanisms of BHD on salt-sensitive hypertensive endothelial cells were ***:Ninety-three potential therapeutic targets for BHD and salt-sensitive hypertension were found to be closely associated with the PI3K/Akt/eNOS signaling pathway and oxidative *** experiments further indicated the pivotal role of endothelial cells in hypertension,and validation analysis showed that BHD significantly preserved cell morphology,suppressed oxidative stress reactions,activated the PI3K/Akt/eNOS signaling pathways,preserved normal endothelial cell function,and reduced cell ***:BHD effectively activates the PI3K/Akt/VEGF signaling pathway,attenuates oxidative stress-induced injury in endothelial cells exposed to high salt levels,and mitigates apoptosis,supporting the use of traditional Chinese medicine BHD in the treatment of salt-sensitive hypertension.

关键词： BHD salt-sensitive hypertension network pharmacology oxidative stress

来源：

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

Demonstration of high-dimensional controlled quantum teleportation for the first time

引用

Science china(Physics,Mechanics & Astronomy) 2024年第3期67卷 163-164页

作者： yu-Bo Sheng Lan Zhou college of Electronic and Optical engineering and college of Flexible Electronics(Future Technology) Nanjing University of Posts and TelecommunicationsNanjing 210023China college of Science Nanjing University of Posts and TelecommunicationsNanjing 210023China

Controlled quantum teleportation(CQT) [1] is the tripartite version of quantum teleportation and it allows the teleportation of an unknown quantum state under the control of a third party. Compared with low-dimensional counterparts,high-dimensional CQT can exhibit larger information transmission capacity and a higher control power [2,3].

关键词： quantum dimensional high

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Deep learning-based multi-modal data integration enhancing breast cancer disease-free survival prediction

引用

Precision Clinical Medicine 2024年第2期7卷 132-145页

作者： Zehua Wang Ruichong Lin Yanchun Li Jin Zeng Yongjian Chen Wenhao Ouyang Han Li Xueyan jia Zijia Lai yunfang yu Herui Yao Weifeng Su Guangdong Key Laboratory of Cross-Application of Data Science and Technology Beijing Normal University-Hong Kong Baptist University United International CollegeZhuhai 519087China Faculty of Innovation engineering Macao University of Science and TechnologyTaipaMacao 999078China Department of Computer and information engineering Guangzhou Huali CollegeGuangzhou 511325China Department of Pathology Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510120China Guangzhou National Laboratory Guangzhou 510005China Dermatology and Venereology Division Department of Medicine SolnaCenter for Molecular MedicineKarolinska InstitutetStockholm 17177Sweden Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation Department of Medical OncologyBreast Tumor CentrePhase I Clinical Trial CentreSun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510120China The Second Clinical Medical college Southern Medical UniversityGuangzhou 510515China Faculty of Medicine Macao University of Science and TechnologyTaipaMacao 999078China

Background:The prognosis of breast cancer is often unfavorable,emphasizing the need for early metastasis risk detection and accurate treatment *** study aimed to develop a novel multi-modal deep learning model using preoperative data to predict disease-free survival(DFS).Methods:We retrospectively collected pathology imaging,molecular and clinical data from The Cancer Genome Atlas and one independent institution in *** developed a novel Deep Learning Clinical Medicine Based Pathological Gene Multi-modal(DeepClinMed-PGM)model for DFS prediction,integrating clinicopathological data with molecular *** patients included the training cohort(n=741),internal validation cohort(n=184),and external testing cohort(n=95).Result:Integrating multi-modal data into the DeepClinMed-PGM model significantly improved area under the receiver operating characteristic curve(AUC)*** the training cohort,AUC values for 1-,3-,and 5-year DFS predictions increased to 0.979,0.957,and 0.871,while in the external testing cohort,the values reached 0.851,0.878,and 0.938 for 1-,2-,and 3-year DFS predictions,*** DeepClinMed-PGM's robust discriminative capabilities were consistently evident across various cohorts,including the training cohort[hazard ratio(HR)0.027,95%confidence interval(CI)0.0016-0.046,P<0.0001],the internal validation cohort(HR 0.117,95%CI 0.041-0.334,P<0.0001),and the external cohort(HR 0.061,95%CI 0.017-0.218,P<0.0001).Additionally,the DeepClinMed-PGM model demonstrated C-index values of 0.925,0.823,and 0.864 within the three cohorts,***:This study introduces an approach to breast cancer prognosis,integrating imaging and molecular and clinical data for enhanced predictive accuracy,offering promise for personalized treatment strategies.

关键词： breast cancer multi-modality deep learning pathological disease-free survival

来源：

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

Artificial intelligence-driven radiomics study in cancer:the role of feature engineering and modeling

引用

Military Medical Research 2024年第1期11卷 115-147页

作者： yuan-Peng Zhang Xin-yun Zhang yu-Ting Cheng Bing Li Xin-Zhi Teng jiang Zhang Saikit Lam Ta Zhou Zong-Rui Ma jia-Bao Sheng Victor CWTam Shara WYLee Hong Ge Jing Cai Department of Medical Informatics Nantong UniversityNantong 226001JiangsuChina Department of Health Technology and Informatics the Hong Kong Polytechnic UniversityHong Kong 999077China The Hong Kong Polytechnic University Shenzhen Research Institute Shenzhen 518000GuangdongChina Department of Radiation Oncology the Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer HospitalZhengzhou 450008China

Modern medicine is reliant on various medical imaging technologies for non-invasively observing patients’***,the interpretation of medical images can be highly subjective and dependent on the expertise of ***,some potentially useful quantitative information in medical images,especially that which is not visible to the naked eye,is often ignored during clinical *** contrast,radiomics performs high-throughput feature extraction from medical images,which enables quantitative analysis of medical images and prediction of various clinical *** have reported that radiomics exhibits promising performance in diagnosis and predicting treatment responses and prognosis,demonstrating its potential to be a non-invasive auxiliary tool for personalized ***,radiomics remains in a developmental phase as numerous technical challenges have yet to be solved,especially in feature engineering and statistical *** this review,we introduce the current utility of radiomics by summarizing research on its application in the diagnosis,prognosis,and prediction of treatment responses in patients with *** focus on machine learning approaches,for feature extraction and selection during feature engineering and for imbalanced datasets and multi-modality fusion during statistical ***,we introduce the stability,reproducibility,and interpretability of features,and the generalizability and interpretability of ***,we offer possible solutions to current challenges in radiomics research.

关键词： Artificial intelligence Radiomics Feature extraction Feature selection Modeling Interpretability Multimodalities Head and neck cancer

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

SYSTEM IDENTIFICATION USING DYNAMIC GA BASED ON NUMERIC ENCODING

引用

Journal of Central South University 1997年第2期9卷 128-131页

作者： yu Shouyi Peng Ying Zheng Xiaoming (college of information engineering, Central South University of Technology, Changsha 410083, china) college of information engineering Central South University of Technology Changsha 410083 China

A dynamic genetic algorithms based on numeric encoding is proposed and its application in system identification is discussed. Simulation shows that the introduction of both numeric encoding and dynamic mutation can effectively improve the accuracy and speed of searching for the optimum. It also show that the improved Genetic algorithm can identify time delay and parameters of the plant at the same time and converge to globle optimization.

关键词： genetic algorithms dynamic mutation operator system identification

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：