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The Crop Journal 2022年第4期10卷 1014-1025页

作者： juanying zhao Lei Zheng Jitong Wei Yixuan Wang Jun Chen Yongbin Zhou Ming Chen Fengzhi Wang Youzhi Ma zhao-Shi Xu Institute of Crop Sciences Chinese Academy of Agricultural Sciences/National Key Facility for Crop Gene Resources and Genetic ImprovementKey Laboratory of Biology and Genetic Improvement of Triticeae CropsMinistry of AgricultureBeijing 100081China Hebei Key Laboratory of Crop Salt-alkali Stress Tolerance Evaluation and Genetic Improvement/Cangzhou Academy of Agriculture and Forestry Sciences Cangzhou 061000HebeiChina

Plant AT-rich sequence and zinc binding(PLATZ)transcription factors are a class of plant specific zincdependent DNA-binding proteins that function in abiotic stress response and plant development.In this study,31 GmPLATZ genes were identified in soybean.GmPLATZ17 was down-regulated by drought and exogenous abscisic acid.Transgenic Arabidopsis and soybean hairy roots overexpressing GmPLATZ17 showed drought sensitivity and inhibition of stress-associated gene transcription.In contrast,suppressed expression of GmPLATZ17 led to increased drought tolerance in transgenic soybean hairy roots.The GmPLATZ17 protein was verified to interact physically with the GmDREB5 transcription factor,and overexpression of GmDREB5 increased drought tolerance in soybean hairy roots.Interaction of GmPLATZ17 with GmDREB5 was shown to interfere with the DRE-binding activity of GmDREB5,suppressing downstream stress-associated gene expression.These results show that GmPLATZ17 inhibits drought tolerance by interacting with GmDREB5.This study sheds light on PLATZ transcription factors and the function of GmPLATZ17 in regulating drought sensitivity.

关键词： Soybean PLATZ transcription factor Protein interaction Regulation mechanism Drought response

Specially shaped Bessel-like self-accelerating beams along predesigned trajectories

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Science Bulletin 2015年第13期60卷 1157-1169页

作者： juanying zhao I.D.Chremmos Ze Zhang Yi Hu Daohong Song Peng Zhang N.K.Efremidis Zhigang Chen TEDA Applied Physics Institute and School of Physics Nankai University Science and Technology on Solid-State Laser Laboratory North China Institute of Electronics Optics Department of Physics and Astronomy San Francisco State University Max Planck Institute for the Science of Light Academy of Opto-Electronics Chinese Academy of Sciences Department of Mathematics and Applied Mathematics University of Crete

Over the past several years, spatially shaped self-accelerating beams along different trajectories have been studied extensively. Due to their useful properties such as resistance to diffraction, self-healing, and selfbending even in free space, these beams have attracted great attention with many proposed applications. Interestingly, some of these beams could be designed with controllable spatial profiles and thus propagate along various desired trajectories such as parabolic, snake-like, hyperbolic, hyperbolic secant, three-dimensional spiraling, and even self-propelling trajectories. Experimentally, suchbeams are realized typically by using a spatial light modulator so as to imprint a desired phase distribution on a Gaussian-like input wave front propagating under paraxial or nonparaxial conditions. In this paper, we provide a brief overview of our recent work on specially shaped self-accelerating beams, including Bessel-like, breathing Bessellike, and vortex Bessel-like beams. In addition, we propose and demonstrate a new type of dynamical Bessel-like beams that can exhibit not only self-accelerating but also self-propelling during propagation. Both theoretical and experimental results are presented along with a brief discussion of potential applications.

关键词：光束塞尔定轨异形空间形状空间光调制器傍轴条件传播过程

Cost-Based Research on Energy Management Strategy of Electric Vehicles Using Hybird Energy Storage System

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Tsinghua Science and Technology 2024年第3期29卷 684-697页

作者： juanying Zhou Jianyou zhao Lufeng Wang School of Automobile Chang’an UniversityXi’an 710064Chinaand also with College of Automotive Engineering and General AviationShaanxi Vocational and Technical CollegeXi’an 710038China School of Automobile Chang’an UniversityXi’an 710064China College of Automobile Shaanxi College of Communication TechnologyXi’an 710018China

This paper uses the minimization and weighted sum of battery capacity loss and energy consumption under driving cycles as objective functions to improve the economy of Electric Vehicles(EVs)with an hybrid energy storage system composed of power batteries and ultracapacitors.Furthermore,Dynamic Programming(DP)is employed to determine the objective function values under different weight coefficients,the comprehensive cost consisting of battery aging and power consumption costs,and the relationship between the hybrid power distribution.We also evaluate the real-time fuzzy Energy Management Strategy(EMS),fuzzy control strategies,and a strategy based on DP using the World Light vehicle Test Procedure(WLTP)driving cycle and a synthesis driving cycle derived from New European Driving Cycle(NEDC),WLTP,and Urban Dynamometer Driving Schedule(UDDS)as examples.Then,the proposed strategy is compared with the fuzzy control strategy and the strategy based on DP.Compared with fuzzy energy management strategy(namely FZY-EMS),the proposed EMS reduces the battery capacity loss and system energy consumption.The results demonstrate the effectiveness of the proposed EMS in improving EV economy.

关键词： automobile engineering hybrid energy storage Energy Management Strategy(EMS) fuzzy control strategy

Mechanism of Suppressing Transverse Wavevectors for Antidiffracting Propagation via Coherent Beam Combination

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激光与光电子学进展 2021年第7期58卷 403-409页

作者： Yang Xiuting Ren Yuhang Zhang Ze Liang Xinli Chen Yan Gao Lu zhao juanying Cheng Wang Christodoulides Demetrios Chen Zhigang Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China School of Optoelectronics University of Chinese Academy of SciencesBeijing 100049China School of Science China University of GeosciencesBeijing 100083China Qilu Research Institute Aerospace Information Research InstituteChinese Academy of SciencesJinanShandong 250132China CREOL/College of Optics University of Central FloridaOrlandoFlorida 32816USA The MOE Key Laboratory of Weak-Light Nonlinear Photonics TEDA Applied Physics Institute andSchool of PhysicsNankai UniversityTianjin 300457China

The elimination of transverse wavevectors during the propagation of electromagnetic waves is highly desirable because this would have a wide range of applications in probing,imaging,and communication.In this research,we propose and experimentally demonstrate a simple method to suppress transverse wavevectors by using coherent wave combinations.Using theoretical analysis and numerical simulation,we show that transverse wavevectors can be greatly suppressed during propagation.For further verification,we perform experiments with light waves to realize coherently combined beams;our experimental results are in good agreement with the simulated results.More importantly,we generate pin-like optical beams using this method,and pin-like optical beams exhibit superior propagation behavior over conventional Gaussian beams in turbulent fluids.

关键词： atmospheric optics pin-like optical beams transverse wavevector elimination turbulence resistance air turbulence

DL-MAML:一种新的蝴蝶物种自动识别模型

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计算机研究与发展 2024年第3期61卷 674-684页

作者：赵戈伟许升全谢娟英陕西师范大学计算机科学学院西安710119 陕西师范大学生命科学学院西安710119

蝴蝶种类成千上万,每种蝴蝶都与一定植物密切相关,研究蝴蝶种类自动识别有重要意义.野外环境下的蝴蝶物种识别研究受制于现有数据集蝴蝶种类较少,每类样本(图像)数量较少,使基于机器学习的蝴蝶种类识别面临泛化推广难的挑战.另外,野外... 详细信息

蝴蝶种类成千上万,每种蝴蝶都与一定植物密切相关,研究蝴蝶种类自动识别有重要意义.野外环境下的蝴蝶物种识别研究受制于现有数据集蝴蝶种类较少,每类样本(图像)数量较少,使基于机器学习的蝴蝶种类识别面临泛化推广难的挑战.另外,野外环境下的蝴蝶翅膀遮挡使分类特征学习面临挑战.因此,提出基于元学习的蝴蝶物种自动识别新模型DL-MAML(deep learning advanced model-agnostic meta-learning),实现野外环境下的任意蝴蝶种类识别.首先,DL-MAML模型采用L2正则改进经典元学习算法MAML(model-agnostic meta-learning)的目标函数和模型参数更新方法,并对MAML增加了2层特征学习模块,避免模型陷入过拟合风险,解决现有野外环境下蝴蝶物种识别面临的泛化推广困难;其次,采用ResNet34深度学习模型提取蝴蝶分类特征,对图像进行表征预处理,作为DL-MAML模型元学习模块的输入,克服其特征提取不足的缺陷,以及野外环境下蝴蝶翅膀遮挡带来的分类特征学习困难.大量消融实验以及与同类模型的实验比较表明,DL-MAML算法学习获得的初始模型参数对蝴蝶新类识别具有很好的效果,优于MAML和其他同类模型,对野外环境下的蝴蝶种类识别很有效,使利用现有野外环境下的蝴蝶数据集构造通用且完全的蝴蝶物种识别系统成为可能.

关键词：蝴蝶分类深度学习特征提取元学习 MAML算法

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阵列激光合成孔径雷达高分辨成像技术研究

雷达学报（中英文） 2022年第6期11卷 1110-1118页

作者：汪丙南赵娟莹李威施瑞华向茂生周煜贾建军中国科学院空天信息创新研究院北京100094 中国科学院大学北京100049 中国科学院上海光学精密机械研究所上海201800 中国科学院上海技术物理研究所上海200081

激光合成孔径雷达将合成孔径技术应用于激光频段,分辨率不受观测距离的限制,可实现远距离、超高分辨率成像。然而,受激光衍射极限限制,观测视场制约着激光合成孔径雷达对地观测实际应用。该文提出一种阵列激光合成孔径雷达技术体制,通... 详细信息

激光合成孔径雷达将合成孔径技术应用于激光频段,分辨率不受观测距离的限制,可实现远距离、超高分辨率成像。然而,受激光衍射极限限制,观测视场制约着激光合成孔径雷达对地观测实际应用。该文提出一种阵列激光合成孔径雷达技术体制,通过大功率阵列发射、阵列平衡探测接收、逐脉冲动态内定标实现了激光多路相干收发,成倍地扩大了成像视场。地面转台成像试验表明,成像分辨率优于3 cm(距离)×1 cm(方位),该项技术可为激光合成孔径雷达对地观测应用奠定基础。

关键词：阵列激光合成孔径高分辨率大幅宽

Unsupervised spectral feature selection algorithms for high dimensional data

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Frontiers of Computer Science 2023年第5期17卷 27-40页

作者： Mingzhao WANG Henry HAN zhao HUANG juanying XIE School of Computer Science Shaanxi Normal UniversityXi’an 710119China Department of Computer Science School of Engineering&Computer ScienceBaylor UniversityWacoTX 76798USA

It is a significant and challenging task to detect the informative features to carry out explainable analysis for high dimensional data,especially for those with very small number of samples.Feature selection especially the unsupervised ones are the right way to deal with this challenge and realize the task.Therefore,two unsupervised spectral feature selection algorithms are proposed in this paper.They group features using advanced Self-Tuning spectral clustering algorithm based on local standard deviation,so as to detect the global optimal feature clusters as far as possible.Then two feature ranking techniques,including cosine-similarity-based feature ranking and entropy-based feature ranking,are proposed,so that the representative feature of each cluster can be detected to comprise the feature subset on which the explainable classification system will be built.The effectiveness of the proposed algorithms is tested on high dimensional benchmark omics datasets and compared to peer methods,and the statistical test are conducted to determine whether or not the proposed spectral feature selection algorithms are significantly different from those of the peer methods.The extensive experiments demonstrate the proposed unsupervised spectral feature selection algorithms outperform the peer ones in comparison,especially the one based on cosine similarity feature ranking technique.The statistical test results show that the entropy feature ranking based spectral feature selection algorithm performs best.The detected features demonstrate strong discriminative capabilities in downstream classifiers for omics data,such that the AI system built on them would be reliable and explainable.It is especially significant in building transparent and trustworthy medical diagnostic systems from an interpretable AI perspective.

关键词： feature selection spectral clustering feature ranking techniques entropy cosine similarity

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阵列分束激光三维成像技术

红外与激光工程 2019年第6期48卷 302-307页

作者：刘波赵娟莹眭晓林曹昌东颜子恒吴姿妍华北光电技术研究所固体激光技术重点实验室

针对现有激光三维成像中使用的面阵APD探测器相邻像元间隔较大,导致激光利用率低从而影响探测距离的缺点,提出阵列分束激光三维成像技术。该技术对激光发射源采用液晶空间光调制器进行衍射阵列分束,将一束激光分成与阵列APD探测器相应... 详细信息

针对现有激光三维成像中使用的面阵APD探测器相邻像元间隔较大,导致激光利用率低从而影响探测距离的缺点,提出阵列分束激光三维成像技术。该技术对激光发射源采用液晶空间光调制器进行衍射阵列分束,将一束激光分成与阵列APD探测器相应的阵列子光束,调整激光发射子光束和阵列APD探测器的位置,使得子光束照射目标后聚焦到阵列APD探测器的像元上,提高了整束激光的利用效率。介绍了阵列分束激光三维成像技术系统组成和工作原理,提出采用液晶空间光调制器的方法实现阵列分束的方案,研制了阵列分束激光三维成像原理样机,利用研制的原理样机对采用阵列分束后的效果进行了验证。实验结果表明,采用该技术后,采用峰值功率10 k W、脉宽8 ns的激光源,填充因子2/3的8×8 APD,三维成像作用距离达到510 m,同等条件下与不分束相比,作用距离提升39.1%。

关键词：阵列分束激光三维成像空间光控制器面阵APD探测器

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杜仲橡胶颗粒的冷冻法提取及其形态性质研究

当代化工研究 2024年第6期 42-44页

作者：袁丹丹张芬郑泽轩赵懿琛王娟英李岩贵州大学生命科学学院农业生物工程研究院山地植物资源保护与种质创新省部共建教育部重点实验室贵州550025 贵州大学茶学院农业生物工程研究院贵州550025

采用液氮研磨法分离提取杜仲叶片和翅果中的橡胶粒子,利用光学显微镜观察到橡胶颗粒存在于一种细长的丝状单细胞中。并利用MATLAB软件对叶片和翅果中的橡胶粒子进行测量,发现叶片中的橡胶粒子直径跨度较小为1.5~7.0μm;而翅果中的橡胶... 详细信息

采用液氮研磨法分离提取杜仲叶片和翅果中的橡胶粒子,利用光学显微镜观察到橡胶颗粒存在于一种细长的丝状单细胞中。并利用MATLAB软件对叶片和翅果中的橡胶粒子进行测量,发现叶片中的橡胶粒子直径跨度较小为1.5~7.0μm;而翅果中的橡胶粒子直径范围为1.0~16.6μm,直径跨度较大且存在大直径的橡胶粒子。同时对翅果橡胶粒子的分离提取和保存条件进行探索,发现选用新鲜、失水较少的杜仲翅果,加入液氮研磨可较好地分离提取橡胶粒子,并将获得的橡胶粒子保存于漂洗液中对橡胶粒子损伤最小。

关键词：杜仲橡胶粒子分离提取显微观察

大豆锌指转录因子GmDi19-5对高温的响应及互作蛋白的筛选

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中国农业科学 2017年第12期50卷 2389-2398页

作者：赵娟莹刘佳明冯志娟陈明周永斌陈隽徐兆师郭长虹哈尔滨师范大学生命科学与技术学院/黑龙江省分子细胞遗传与遗传育种重点实验室中国农业科学院作物科学研究所/国家农作物基因资源与基因改良重大科学工程/农业部麦类生物学与遗传育种重点实验室

【目的】高温胁迫已经成为威胁作物生长发育的主要非生物胁迫因素之一,转录因子在植物非生物胁迫响应中起着重要作用。通过对大豆锌指转录因子基因Gm Di19-5在高温胁迫下的响应和功能鉴定,以及利用酵母双杂交技术从大豆c DNA文库筛选与... 详细信息

【目的】高温胁迫已经成为威胁作物生长发育的主要非生物胁迫因素之一,转录因子在植物非生物胁迫响应中起着重要作用。通过对大豆锌指转录因子基因Gm Di19-5在高温胁迫下的响应和功能鉴定,以及利用酵母双杂交技术从大豆c DNA文库筛选与其互作的候选蛋白,研究Gm Di19-5对高温胁迫的响应机制。【方法】以大豆c DNA为模板,利用实时荧光定量PCR检测Gm Di19-5在高温处理不同时间段的表达模式;通过Plant CARE和PLACE数据库预测Gm Di19-5启动子元件,并对Gm Di19-5启动子转基因拟南芥在高温处理下进行的组织化学染色,分析Gm Di19-5启动子在高温胁迫下的活性;构建p GBKT7-Gm Di19-5诱饵载体,验证自激活活性;利用酵母双杂交技术,以p GBKT7-Gm Di19-5为诱饵筛选大豆c DNA文库,筛选与其互作的候选蛋白;进一步用酵母双杂交系统验证Gm Di19-5与候选蛋白的互作;利用实时荧光定量PCR检测候选蛋白基因在对高温处理的响应情况;构建融合表达载体,用GFP-Gm Di19-5融合表达载体转化拟南芥原生质体,检测Gm Di19-5蛋白的亚细胞定位情况。【结果】实时荧光定量PCR结果显示,Gm Di19-5在高温胁迫下上调表达;启动子元件分析表明,Gm Di19-5包含多种与胁迫应答相关的顺式作用元件,包括热响应元件HSE;组织化学染色分析发现,经高温处理后,过表达拟南芥幼苗的地上部分和地下部分均有报告基因的表达;亚细胞定位结果表明,Gm Di19-5蛋白定位于拟南芥原生质体的细胞核中;通过酵母双杂交技术筛选到了与Gm Di19-5互作的候选蛋白,试验进一步验证了Gm Di19-5与Gm Dna J在酵母细胞中互作;另外,实时荧光定量PCR结果显示,互作蛋白基因Gm Dna J受高温胁迫诱导表达。【结论】Gm Di19-5受高温诱导表达,Gm Di19-5可能与Gm Dna J互作,表明Gm Di19-5功能的发挥可能需要Gm Dna J的参与。

关键词：大豆锌指转录因子高温酵母双杂交蛋白互作