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Optimization of extreme ultraviolet vortex beam based on high harmonic generation

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Chinese Physics B 2024年第5期33卷 459-464页

作者：肖礴赵逸文程方晶王革文姜威王一琛胡杰梁红静马日 Institute of Atomic and Molecular Physics Jilin UniversityChangchun 130012China College of Science Jilin Institute of Chemical TechnologyJilin 132022China

In high harmonic generation(HHG),Laguerre–Gaussian(LG) beams are used to generate extreme ultraviolet(XUV)vortices with well-defined orbital angular momentum(OAM),which have potential applications in fields such as microscopy and *** experimental study on the HHG driven by vortex and Gaussian beams is conducted in this *** is found that the intensity of vortex harmonics is positively correlated with the laser energy and gas *** structure and intensity distribution of the vortex harmonics exhibit significant dependence on the relative position between the gas jet and the laser *** ring-like structures observed in the vortex harmonics,and the interference of quantum paths provide an explanation for the distinct structural ***,by adjusting the relative position between the jet and laser focus,it is possible to discern the contributions from different quantum *** optimization of the HH vortex field is applicable to the XUV,which opens up a new way for exploiting the potential in optical spin or manipulating electrons by using the photon with tunable orbital angular momentum.

关键词： high harmonic generation phase matching extreme ultraviolet vortex beam quantum path interference

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基于IRSO算法的含分布式电源配电网重构

科学技术与工程 2024年第3期24卷 1075-1082页

作者：魏凯程静新疆大学电气工程学院乌鲁木齐830017 可再生能源发电与并网控制教育部工程研究中心乌鲁木齐830017

在智能电网的背景下,为了减少含分布式电源(distributed generation,DG)配电网的网络损耗,同时提高电网安全性,提出“单条支路安全系数”“最小安全系数”“平均安全系数”三个安全性评价指标,并建立以网损、“平均安全系数”“最小安... 详细信息

在智能电网的背景下,为了减少含分布式电源(distributed generation,DG)配电网的网络损耗,同时提高电网安全性,提出“单条支路安全系数”“最小安全系数”“平均安全系数”三个安全性评价指标,并建立以网损、“平均安全系数”“最小安全系数”为目标的配电网重构数学模型,采用改进鼠群优化算法进行求解。针对传统鼠群算法随机初始种群的迭代次数较多问题,采用有序环网配合启发式规则在初始化阶段生成一个初始解;针对传统算法在运行过程中产生众多无效变异的问题,提出“映射规则”,最大化调用鼠群变异规则;为了避免最后结果未优化到最优,提出“最优个体微调策略”。采用IEEE33节点电力系统和Taipower84节点电力系统进行对比验证分析,证明了该文方法的通用性和有效性。

关键词：智能电网分布式电源安全系数网络损耗配电网重构改进鼠群算法

坚持城乡融合发展的内在逻辑、基本遵循与实践路径——基于马克思恩格斯城乡关系理论的分析

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新疆社会科学 2024年第2期 132-139,150页

作者：程静施红华东政法大学马克思主义学院上海201620 中共中央党校(国家行政学院)经济学教研部北京100091

城乡发展不平衡是缓解新时代我国社会主要矛盾要面对的重要现实问题。马克思恩格斯城乡关系理论科学论述了城乡关系运动发展的规律,指出了消除城乡分离和对立的实现条件,为我国破除城乡发展不平衡难题提供了指导。坚持城乡融合发展是坚... 详细信息

城乡发展不平衡是缓解新时代我国社会主要矛盾要面对的重要现实问题。马克思恩格斯城乡关系理论科学论述了城乡关系运动发展的规律,指出了消除城乡分离和对立的实现条件,为我国破除城乡发展不平衡难题提供了指导。坚持城乡融合发展是坚持马克思主义中国化时代化的体现,具有理论、历史和实践三重逻辑,是构建中国特色社会主义新型城乡关系的必然选择。坚持城乡融合发展遵循人民利益至上的基本价值取向、促进城乡居民共同富裕的基本要求、增强发展整体性和协调性的基本原则,以及循序渐进、逐步实现的基本方法。推进城乡融合发展,就要坚持人民民主专政、推进城乡经济高质量发展、发挥科学技术的重大作用、创造和谐美丽的城乡人居环境。

关键词：马克思恩格斯城乡融合中国式现代化高质量发展

Measurement of the neutron-induced total cross sections of ^(nat)Pb from 0.3 eV to 20 MeV on the Back-n at CSNS

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Nuclear Science and Techniques 2024年第2期35卷 85-93页

作者： Jie-Ming Xue Song Feng Yong-Hao Chen Han Yi Min Xiao Pin-jing cheng Xin-Xiang Li Rong Liu Yi-Wei Yang Zi-Jie Han Da-Jun Zhao Hao-Qiang Wang Bao-Qian Li Ji-Rong Zhao Lei-Xun Tang Wen Luo Bo Zheng School of Nuclear Science and Technology University of South ChinaHengyang 421001China Institute of High Energy Physics Chinese Academy of Sciences(CAS)Beijing 100049China Spallation Neutron Source Science Center Dongguan 523803China Institute of Nuclear Physics and Chemistry China Academy of Engineering PhysicsMianyang 621900China

The neutron-induced total cross sections of natural lead have been measured in a wide energy range(0.3 eV-20 MeV)on the back-streaming white neutron beamline(Back-n)at the China Spallation Neutron *** energy was determined by the neutron total cross-section spectrometer using the time-of-flight technique.A fast multi-cell fission chamber was used as the neutron detector,and a 10-mm-thick high-purity natural lead sample was employed for the neutron transmission *** on-beam background was determined using Co,In,Ag,and Cd *** excitation function of ^(nat)Pb(n,tot)reaction below 20 MeV was calculated using the TALYS-1.96 nuclear-reaction modeling *** present results were compared with previous results,the evaluated data available in the five major evaluated nuclear data libraries(i.e.,ENDF/B-VIII.0,JEFF-3.3,JENDL-5,CENDL-3.2,and BROND-3.1),and the theoretical calculation *** agreement was found between the new results and those of previous experiments and with the theoretical curves in the corresponding *** measurement obtained the neutron total cross section of natural lead with good accuracy over a wide energy range and added experimental data in the resonance energy *** provides more reliable experimental data for nuclear engineering design and nuclear data evaluation of lead.

关键词： Neutron-induced total cross section Natural lead Time-of-flight TALYS-1.96 CSNS Back-n white neutron beamline

Deep learning framework for comprehensive molecular and prognostic stratifications of triple-negative breast cancer

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Fundamental Research 2024年第3期4卷 678-689页

作者： Shen Zhao Chao-Yang Yan Hong Lv jing-cheng Yang Chao You Zi-Ang Li Ding Ma Yi Xiao Jia Hu Wen-Tao Yang Yi-Zhou Jiang Jun Xu Zhi-Ming Shao Key Laboratory of Breast Cancer in Shanghai Department of Breast SurgeryFudan University Shanghai Cancer CenterShanghai 200032China Institute for AI in Medicine School of Artificial IntelligenceNanjing University of Information Science and TechnologyNanjing 210044China Department of Pathology Fudan University Shanghai Cancer CenterShanghai 200032China Greater Bay Area Institute of Precision Medicine Guangzhou 511466China Department of Radiology Fudan University Shanghai Cancer CenterShanghai 200032China

Triple-negative breast cancer(TNBC)is the most challenging breast cancer *** stratification and target therapy bring clinical benefit for TNBC patients,but it is difficult to implement comprehensive molecular testing in clinical ***,using our multi-omics TNBC cohort(N=425),a deep learning-based framework was devised and validated for comprehensive predictions of molecular features,subtypes and prognosis from pathological whole slide *** framework first incorporated a neural network to decompose the tissue on WSIs,followed by a second one which was trained based on certain tissue types for predicting different ***-omics molecular features were analyzed including somatic mutations,copy number alterations,germline mutations,biological pathway activities,metabolomics features and immunotherapy *** was shown that the molecular features with therapeutic implications can be predicted including the somatic PIK3CA mutation,germline BRCA2 mutation and PD-L1 protein expression(area under the curve[AUC]:0.78,0.79 and 0.74 respectively).The molecular subtypes of TNBC can be identified(AUC:0.84,0.85,0.93 and 0.73 for the basal-like immune-suppressed,immunomodulatory,luminal androgen receptor,and mesenchymal-like subtypes respectively)and their distinctive morphological patterns were revealed,which provided novel insights into the heterogeneity of TNBC.A neural network integrating image features and clinical covariates stratified patients into groups with different survival outcomes(log-rank P<0.001).Our prediction framework and neural network models were externally validated on the TNBC cases from TCGA(N=143)and appeared robust to the changes in patient *** potential clinical translation,we built a novel online platform,where we modularized and deployed our framework along with the validated *** can realize real-time one-stop prediction for new *** summary,using only pathological WSIs,our proposed framework

关键词： Triple-negative breast cancer Deep learning Digital pathology Patient stratification Online platform

Freshening of the Intermediate Waters in the Northern South China Sea over the Past Six Decades

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Journal of Tropical Meteorology 2024年第1期30卷 42-50页

作者：陈栩洋王东晓舒业强成里京范双双 School of Marine Sciences Sun Yat-Sen Universityand Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)ZhuhaiGuangdong 519082 China State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301 China International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029 China

The properties of salinity in the South China Sea(SCS),a significant marginal sea connecting the Pacific and Indian Oceans,are greatly influenced by the transport of fresh water flux between the two ***,the long-term changes in the intermediate water in the SCS have not been thoroughly studied due to limited data,particularly in relation to its thermodynamic *** study utilized reanalysis data products to identify a 60-year trend of freshening in the intermediate waters of the northern South China Sea(NSCS),accompanied by an expansion of low-salinity *** study also constructed salinity budget terms,including advection and entrainment processes,and conducted an analysis of the salinity budget to understand the impacts of external and internal dynamic processes on the freshening trend of the intermediate water in the *** analysis revealed that the freshening in the northwest Pacific Ocean and the intensification of intrusion through the Luzon Strait at intermediate levels are the primary drivers of the salinity changes in the ***,a weakened trend in the intensity of vertical entrainment also contributes to the freshening in the *** study offers new insights into the understanding of regional deep sea changes in response to variations in both thermodynamics and oceanic dynamic processes.

关键词： freshening South China Sea salinity of the intermediate water salinity budget analysis Luzon Strait transport

Establishment and performance analysis of a new multiplex detection method for influenza an and B virus antigen

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World Journal of Clinical Cases 2024年第23期12卷 5338-5345页

作者： cheng-jing Xia Bao-Hua Li Yan-Ni Guo Xiao-He Zhou Run-Ling Zhang Ying-No Niu Department of Clinical Laboratory West WingShenzhen Hospital(Guangming)of University of Chinese Academy of SciencesShenzhen 518106Guangdong ProvinceChina Laboratory Nanjing Vazyme Biotech Co.LtdNanjing 210033Jiangsu ProvinceChina

BACKGROUND Influenza A and B virus detection is pivotal in epidemiological surveillance and disease *** and accurate diagnostic techniques are crucial for timely clinical intervention and outbreak *** dot-encoded microspheres have been widely used in *** integration of quantum dot-encoded microspheres with flow cytometry is a well-established technique that enables rapid ***,establishing a multiplex detection method for influenza A and B virus antigens based on flow cytometry quantum dot microspheres will help in disease *** To establish a codetection method of influenza A and B virus antigens based on flow cytometry quantum dot-encoded microsphere technology,which forms the foundation for the assays of multiple respiratory virus *** Different quantum dot-encoded microspheres were used to couple the monoclonal antibodies against influenza A and *** known influenza A and B antigens were detected both separately and simultaneously on a flow cytometer,and the detection conditions were optimized to establish the influenza A and B antigen codetection method,which was utilized for their detection in clinical *** results were compared with the fluorescence quantitative polymerase chain reaction(PCR)method to validate the clinical performance of this *** The limits of detection of this method were 26.1 and 10.7 pg/mL for influenza A and B antigens,respectively,which both ranged from 15.6 to 250000 pg/*** the clinical sample evaluation,the proposed method well correlated with the fluorescent quantitative PCR method,with positive,negative,and overall compliance rates of 57.4%,100%,and 71.6%,*** A multiplex assay for quantitative detection of influenza A and B virus antigens has been established,which is characterized by high sensitivity,good specificity,and a wide detection range and is promising for clinical applications.

关键词： Influenza A Influenza B Quantum dot microspheres Antigen detection Multiplex detection

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低温季节泵送混凝土结构施工期温控防裂研究

三峡大学学报（自然科学版） 2024年第2期46卷 21-27页

作者：王雪丰程井上海市堤防泵闸建设运行中心上海200080 河海大学水利水电学院南京210098

低温季节施工时针对泵闸等结构泵送混凝土防冻与防裂的技术难题,以SYG工程为例,结合工程实际施工过程及现场温控监测成果进行大体积泵送混凝土温控防裂反馈分析;对比分析了不通水工况与实际通水工况下的应力曲线与混凝土容许拉应力曲线... 详细信息

低温季节施工时针对泵闸等结构泵送混凝土防冻与防裂的技术难题,以SYG工程为例,结合工程实际施工过程及现场温控监测成果进行大体积泵送混凝土温控防裂反馈分析;对比分析了不通水工况与实际通水工况下的应力曲线与混凝土容许拉应力曲线,并结合现场温控过程中存在的主要问题探讨了低温季节下泵闸工程的温控防裂技术.结果表明,在-8℃的较低温度下,采取充分的水管冷却和严格的表面保温措施可有效控制结构内部最高温度、内外温差以及最大拉应力水平,减小水闸结构开裂风险.本工程温控实践经验可为类似条件下的泵闸工程提供参考.

关键词：泵闸工程泵送混凝土温控防裂通水冷却表面保温

基于RSSD和CNNSE-BiLSTM的滚动轴承早期故障诊断

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机床与液压 2024年第16期52卷 200-206页

作者：孙梦高丙朋程静新疆大学电气工程学院新疆乌鲁木齐830017

针对滚动轴承早期故障具有强噪声背景且信号弱强度导致诊断精度较低的问题,提出一种基于共振稀疏分解(RSSD)的改进一维卷积和双向长短期记忆的故障诊断方法。利用3σ原则确定轴承全寿命周期的早期退化起始点,对起始点时域信号进行RSSD... 详细信息

针对滚动轴承早期故障具有强噪声背景且信号弱强度导致诊断精度较低的问题,提出一种基于共振稀疏分解(RSSD)的改进一维卷积和双向长短期记忆的故障诊断方法。利用3σ原则确定轴承全寿命周期的早期退化起始点,对起始点时域信号进行RSSD降噪处理,从而提高早期微弱故障的分辨率;将数据预处理后的信号输入到添加SE注意力机制的卷积神经网络(CNNSE)中提取关键局部特征,其输出输入双向长短期记忆神经网络(BiLSTM)对当前及前后时间序列信息进行特征提取;最后,通过全连接层和Softmax层进行早期多故障分类。采用所提方法针对XJTU-SY轴承全寿命周期故障信号进行实验,结果表明:所提方法对早期微弱故障信号有更高的识别率,诊断准确率99.75%,优于其他诊断方法。

关键词：共振稀疏分解卷积神经网络注意力机制双向长短期神经网络早期故障诊断