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Artificial optical microfingerprints for advanced anticounterfeiting

Nano Research 2024年第5期17卷 4371-4378页

作者： Xueke Pang Qiang Zhang Jingyang Wang Xin Jiang Menglin Wu Mingyue Cui Zhixia Feng Wenxin Xu Bin Song Yao He Suzhou Key Laboratory of Nanotechnology and Biomedicine Institute of Functional Nano&Soft Materials&Collaborative Innovation Center of Suzhou Nano Science and Technology(NANO-CIC)Soochow UniversitySuzhou 215123China School of sensing Science and Engineering Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment InstrumentSchool of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China

Artificial optical microfingerprints,known as physically unclonable functions(PUFs)offer a groundbreaking approach for ***,these PUFs artificial optical microfingerprints suffer from a limited number of challenge-response pairs,making them vulnerable to machine learning(ML)attacks when additional error-correcting units are *** study presents a pioneering demonstration of artificial optical microfingerprints that combine the advantages of PUFs,a large encoding capacity algorithm,and reliable deep learning authentication against ML *** approach utilizes the triple-mode PUFs,incorporating bright-field,multicolor fluorescence wrinkles,and the topography of surface enhanced Raman scattering in the mechanical and optical ***,the quaternary encoding of these PUFs artificial microfingerprints allows for an encoding capacity of 6.43×10^(24082) and achieves 100%deep learning recognition ***,the PUFs artificial optical microfingerprints exhibit high resilience against ML attacks,facilitated by generative adversarial networks(GAN)(with mean prediction accuracy of~85.0%).The results of this study highlight the potential of utilizing up to three PUFs in conjunction with a GAN training system,paving the way for achieving encoded information that remains resilient to ML attacks.

关键词： artificial microfingerprints physically unclonable functions deep learning anti-counterfeiting

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A two-branch multiscale spectral-spatial feature extraction network for hyperspectral image classification

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Journal of information and Intelligence 2024年第3期2卷 224-235页

作者： Aamir Ali Caihong Mu Zeyu Zhang Jian Zhu Yi Liu Key Laboratory of Intelligent Perception and Image understanding of Ministry of Education Collaborative Innovation Center of Quantum Information of Shaanxi ProvinceSchool of Artificial IntelligenceXidian UniversityXi'an 710071China school of Electronic Engineering Xidian UniversityXi'an 710071China

In the field of hyperspectral image(HSI)classification in remote sensing,the combination of spectral and spatial features has gained considerable *** addition,the multiscale feature extraction approach is very effective at improving the classification accuracy for HSIs,capable of capturing a large amount of intrinsic ***,some existing methods for extracting spectral and spatial features can only generate low-level features and consider limited scales,leading to low classification results,and dense-connection based methods enhance the feature propagation at the cost of high model *** paper presents a two-branch multiscale spectral-spatial feature extraction network(TBMSSN)for HSI *** design the mul-tiscale spectral feature extraction(MSEFE)and multiscale spatial feature extraction(MSAFE)modules to improve the feature representation,and a spatial attention mechanism is applied in the MSAFE module to reduce redundant information and enhance the representation of spatial fea-tures at *** we densely connect series of MSEFE or MSAFE modules respectively in a two-branch framework to balance efficiency and effectiveness,alleviate the vanishing-gradient problem and strengthen the feature *** evaluate the effectiveness of the proposed method,the experimental results were carried out on bench mark HsI datasets,demonstrating that TBMSSN obtained higher classification accuracy compared with several state-of-the-art methods.

关键词： Hyperspectral image classification Multiscale spectral-spatial information Two-branch architecture

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Enhanced wide-angle third-harmonic generation in flat-band-engineered quasi-BIC metagratings

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Science China(Physics,Mechanics & Astronomy) 2024年第4期67卷 81-87页

作者： Yijia Zang Ruoheng Chai Wenwei Liu Zhancheng Li Hua Cheng Jianguo Tian Shuqi Chen The Key Laboratory of Weak Light Nonlinear Photonics Ministry of EducationSchool of Physics and TEDA Institute of Applied PhysicsNankai UniversityTianjin 300071China School of Materials Science and Engineering Smart Sensing Interdisciplinary Science CenterNankai UniversityTianjin 300350China The collaborative innovation center of Extreme Optics Shanxi UniversityTaiyuan 030006China

Nonlinear metasurfaces and photonic crystals provide a significant way to generate and manipulate nonlinear signals owing to the resonance-and symmetry-based light-matter interactions supported by the artificial ***,the nonlinear conversion efficiency is generally limited by the angular dispersion of optical resonances especially in nonparaxial ***,we propose a metagrating realizing a quasi-bound-state in the continuum in a flat band to dramatically improve the third harmonic generation(THG)efficiency.A superior operating angular range is achieved based on the interlayer and intralayer couplings,which are introduced by breaking the mirror symmetry of the *** demonstrate the relation of angular dispersion between the nonlinear and linear responses at different incident *** also elucidate the mechanism of these offaxis flat-band-based nonlinear conversions through different mode *** scheme provides a robust and analytical way for nonparaxial nonlinear generation and paves the way for further applications such as wide-angle nonlinear information transmission and enhanced nonlinear generation under tight focusing.

关键词： nonlinear metasurfaces quasi-bound-state in the continuum angular dispersion third harmonic generation efficiency

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Development of a novel critical nitrogen concentration-cumulative transpiration curve for optimizing nitrogen management under varying irrigation conditions in winter wheat

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The Crop Journal 2024年第4期12卷 1242-1251页

作者： Tianyang Ye Yu Zhang Jingyan Xuan Xintian Wang Yang Li Junhao Xu Liujun Xiao Leilei Liu Liang Tang Weixing Cao Bing Liu Yan Zhu National Engineering and Technology center for information Agriculture Engineering Research Center of Smart AgricultureMinistry of EducationKey Laboratory for Crop System Analysis and Decision MakingMinistry of AgricultureJiangsu Key Laboratory for Information AgricultureJiangsu Collaborative Innovation Center for Modern Crop ProductionNanjing Agricultural UniversityNanjing 210095JiangsuChina Institute of Remote sensing and Digital Agriculture Sichuan Academy of Agricultural SciencesChengdu 610066SichuanChina

Accurate nitrogen(N)nutrition diagnosis is essential for improving N use efficiency in crop *** widely used critical N(Nc)dilution curve traditionally depends solely on agronomic variables,neglecting crop water *** three-year field experiments with winter wheat,encompassing two irrigation levels(rainfed and irrigation at jointing and anthesis)and three N levels(0,180,and 270 kg ha1),this study aims to establish a novel approach for determining the Nc dilution curve based on crop cumulative transpiration(T),providing a comprehensive analysis of the interaction between N and water *** Nc curves derived from both crop dry matter(DM)and T demonstrated N concentration dilution under different conditions with different *** equation Nc=6.43T0.24 established a consistent relationship across varying irrigation *** test results indicated that the nitrogen nutrition index(NNI),calculated from this curve,effectively identifies and quantifies the two sources of N deficiency:insufficient N supply in the soil and insufficient soil water concentration leading to decreased N availability for root ***,the NNI calculated from the Nc-DM and Nc-T curves exhibited a strong negative correlation with accumulated N deficit(Nand)and a positive correlation with relative grain yield(RGY).The NNI derived from the Nc-T curve outperformed the NNI derived from the Nc-DM curve concerning its relationship with Nand and RGY,as indicated by larger R2 values and smaller *** novel Nc curve based on T serves as an effective diagnostic tool for assessing winter wheat N status,predicting grain yield,and optimizing N fertilizer management across varying irrigation *** findings would provide new insights and methods to improve the simulations of water-N interaction relationship in crop growth models.

关键词： Crop dry matter Crop cumulative transpiration Bayesian statistical model Critical nitrogen dilution curve Nitrogen nutrition index

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Assessing the Performance of CMIP6 Models in Simulating Droughts across Global Drylands

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Advances in Atmospheric Sciences 2024年第2期41卷 193-208页

作者： Xiaojing YU Lixia ZHANG Tianjun ZHOU Jianghua ZHENG LASG Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China collaborative innovation center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science&TechnologyNanjing 210044China university of Chinese Academy of Sciences Beijing 100049China College of Geography&Remote sensing Sciences Xinjiang UniversityUrumqi 830046China

Both the attribution of historical change and future projections of droughts rely heavily on climate modeling. However,reasonable drought simulations have remained a challenge, and the related performances of the current state-of-the-art Coupled Model Intercomparison Project phase 6(CMIP6) models remain unknown. Here, both the strengths and weaknesses of CMIP6 models in simulating droughts and corresponding hydrothermal conditions in drylands are *** the general patterns of simulated meteorological elements in drylands resemble the observations, the annual precipitation is overestimated by ~33%(with a model spread of 2.3%–77.2%), along with an underestimation of potential evapotranspiration(PET) by ~32%(17.5%–47.2%). The water deficit condition, measured by the difference between precipitation and PET, is 50%(29.1%–71.7%) weaker than observations. The CMIP6 models show weaknesses in capturing the climate mean drought characteristics in drylands, particularly with the occurrence and duration largely underestimated in the hyperarid Afro-Asian areas. Nonetheless, the drought-associated meteorological anomalies, including reduced precipitation, warmer temperatures, higher evaporative demand, and increased water deficit conditions, are reasonably reproduced. The simulated magnitude of precipitation(water deficit) associated with dryland droughts is overestimated by 28%(24%) compared to observations. The observed increasing trends in drought fractional area,occurrence, and corresponding meteorological anomalies during 1980–2014 are reasonably reproduced. Still, the increase in drought characteristics, associated precipitation and water deficit are obviously underestimated after the late 1990s,especially for mild and moderate droughts, indicative of a weaker response of dryland drought changes to global warming in CMIP6 models. Our results suggest that it is imperative to employ bias correction approaches in drought-related studies over drylands by using CMIP6 o

关键词： droughts hydrothermal conditions drylands CMIP6 model evaluation

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Imaging momentum-space Cooper pair formation and its competition with the charge density wave gap in a kagome superconductor

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Science China(Physics,Mechanics & Astronomy) 2024年第7期67卷 142-150页

作者： Yiming Sun Yubing Tu Yang Luo Shuikang Yu Hongyu Li Yunmei Zhang Ping Wu Zhuying Wang Fan Zhang Wanru Ma Zuowei Liang Jianjun Ying Tao Wu Ziji Xiang Junfeng He Lei Shan Zhenyu Wang Xianhui Chen Department of Physics CAS Key Laboratory of Strongly Coupled Quantum Matter Physicsand Hefei National LaboratoryUniversity of Science and Technology of ChinaHefei 230026China information Materials and Intelligent sensing Laboratory of Anhui Province Institutes of Physical Science and Information TechnologyAnhui UniversityHefei 230601China collaborative innovation center of Advanced Microstructures Nanjing 210093China

The superconducting ground state of kagome metals AV_(3)Sb_(5)(where A stands for K,Rb,or Cs)emerges from an exotic charge density wave(CDW)state that potentially breaks both rotational and time reversal ***,the specifics of the Cooper pairing mechanism,and the nature of the interplay between these two states remain elusive,largely due to the lack of momentum-space(k-space)superconducting energy gap *** implementing Bogoliubov quasiparticle interference(B QPI)imaging,we obtain k-space information on the multiband superconducting gap structureΔ_(SC)^(i)(k)in pristine CsV_(3)Sb_(5).We show that the estimated energy gap on the vanadium d_(xy/x^(2)-y^(2))orbital is anisotropic but nodeless,with a minimal value located near the M ***,a comparison ofΔ_(SC)^(i)(k)with the CDW gapΔ_(CDW)^(i)(k)obtained by angle-re solved photoemission spectro scopy(ARPES)reveals direct k-space competition between the se two order parameters,i.e.,the opening of a large(small)CDW gap at a given momentum corresponds to a small(large)superconducting *** the long-range CDW order is suppressed by replacing vanadium with titanium,we find a nearly isotropic energy gap on both the V and Sb *** information will be critical for identifying the microscopic pairing mechanism and its interplay with intertwined electro nic orders in this kagome superconductor family.

关键词： kagome lattice charge density wave superconducting energy gap scanning tunneling microscopy

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Wideband chaos generation using a VCSEL with intensity modulation optical injection for random number generation

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Science China(information Sciences) 2024年第6期67卷 457-458页

作者： Yu HUANG Shuangquan GU Yuhang FENG Yigong YANG Shuiying XIANG Pei ZHOU Nianqiang LI School of Optoelectronic Science and Engineering & collaborative innovation center of Suzhou Nano Science and Technology Soochow University State Key Laboratory of Integrated Service Networks Xidian University Key Lab of Advanced Optical Manufacturing Technologies of Jiangsu Province & Key Lab of Modern Optical Technologies of Education Ministry of China Soochow University

Physical random numbers have been widely used in modern network society,such as the generation of cryptographic keys for classical and quantum cryptography systems[1].Among the many sources of physical entropy,chaotic semiconductor lasers have attracted wide attention due to their desired characteristics including larger bandwidth,low cost,and monolithic integration[2].

关键词： Optical signal processing

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Breakthrough architecture conquers dark current:echoes of Dujiangyan in perovskite photodetectors

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Advanced Photonics 2024年第3期6卷 5-6页

作者： Yujin Liu Zhong Ji Xueli Chen xidian university Guangzhou Institute of TechnologyInnovation Center for Advanced Medical Imaging and Intelligent MedicineGuangzhouChina xidian university School of Life Science and TechnologyCenter for Biomedical-photonics and Molecular ImagingXi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life InformationXi’anChina

Metal halide perovskites(MHPs)photodetectors(PDs)exhibiting outstanding and tunable photoelectric properties have attracted extensive global attention owing to their low-temperature solution-processable fabrication,lightweight nature,and flexibility.1However,MHPs-based PDs still face challenges of high and unstable dark current,which limit their operational stability and practical applications.

关键词： unstable perovskite limit

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Ultra-robust informational metasurfaces based on spatial coherence structures engineering

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Light(Science & Applications) 2024年第7期13卷 1310-1319页

作者： Leixin Liu Wenwei Liu Fei Wang Xiaofeng Peng Duk-Yong Choi Hua Cheng Yangjian Cai Shuqi Chen Shandong Provincial Engineering and Technical center of Light Manipulations Collaborative Innovation Center of Light Manipulation and ApplicationsShandong Provincial Key Laboratory of Optics and Photonic DeviceSchool of Physics and ElectronicsShandong Normal UniversityJinan 250014China. The Key Laboratory of Weak Light Nonlinear Photonics Ministry of EducationSchool of PhysicsSchool of Materials Science and EngineeringSmart Sensing Interdisciplinary Science CenterNankai UniversityTianjin 300071China. School of Physical Science and Technology Soochow UniversitySuzhou 215006China. Laser Physics Centre Research School of PhysicsAustralian National UniversityCanberraACT 2601Australia. The collaborative innovation center of Extreme Optics Shanxi UniversityTaiyuanShanxi 030006China

Optical information transmission is vital in modern optics and photonics due to its concurrent and multi-dimensional nature,leading to tremendous applications such as optical microscopy,holography,and optical *** optical information transmission technologies suffer from bulky optical setup and information loss/crosstalk when meeting scatterers or obstacles in the light ***,we theoretically propose and experimentally realize the simultaneous manipulation of the coherence lengths and coherence structures of the light beams with the disordered *** ultra-robust optical information transmission and self-reconstruction can be realized by the generated partially coherent beam with modulated coherence structure even 93%of light is recklessly obstructed during light transmission,which brings new light to robust optical information transmission with a single *** method provides a generic principle for the generalized coherence manipulation on the photonic platform and displays a variety of functionalities advancing capabilities in optical information transmission such as meta-holography and imaging in disordered and perturbative media.

关键词： optics coherent holography

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Student Academic Performance Predictive Model Based on Dual-stream Deep Network

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计算机科学 2024年第10期51卷 119-128页

作者： XIE Hui ZHANG Pengyuan DONG Zexiao YANG Huiting KANG Huan HE Jiangshan CHEN Xueli center for Biomedical-photonics and Molecular Imaging Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life InformationSchool of Life Science and TechnologyXidian UniversityXi’an 710126China Engineering Research center of Molecular and Neuro Imaging Ministry of EducationXi’an 710126China innovation center for Advanced Medical Imaging and Intelligent Medicine Guangzhou Institute of TechnologyXidian UniversityGuangzhou 510550China

Blended teaching is one of the essential teaching methods with the development of information *** a learning effect evaluation model is helpful to improve students’academic performance and helps teachers to better implement course ***,a lack of evaluation models for the fusion of temporal and non-temporal behavioral data leads to an unsatisfactory evaluation *** meet the demand for predicting students’academic performance through learning behavior data,this study proposes a learning effect evaluation method that integrates expert perspective indicators to predict academic performance by constructing a dual-stream network that combines temporal behavior data and non-temporal behavior data in the learning *** this paper,firstly,the Delphi method is used to analyze and process the course learning behavior data of students and establish an effective evaluation index system of learning behavior with universality;secondly,the Mann-Whitney U-test and the complex correlation analysis are used to analyze further and validate the evaluation indexes;and lastly,a dual-stream information fusion model,which combines temporal and non-temporal features,is *** learning effect evaluation model is built,and the results of the mean absolute error(MAE)and root mean square error(RMSE)indexes are 4.16 and 5.29,*** study indicates that combining expert perspectives for evaluation index selection and further fusing temporal and non-temporal behavioral features that for learning effect evaluation and prediction is rationality,accuracy,and effectiveness,which provides a powerful help for the practical application of learning effect evaluation and prediction.

关键词： Blended teaching Expert perspective indicators Two-stream information fusion model

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