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Polar code‑based secure transmission with higher message rate combining channel entropy and computational entropy

Cybersecurity 2025年第2期8卷 306-322页

作者： Chen An Mengjie Huang Xianhui Lu Lei Bi Weijie Li Key Laboratory of Cyberspace Security Defense Institute of Information EngineeringCASNo.19 Shucun RoadHaidian DistrictBeijing 100085China School of Cyber Security University of Chinese Academy of SciencesNo.19 Yuquan RoadShijingshan DistrictBeijing 100049China

The existing physical layer security schemes,which are based on the key generation model and the wire-tap channel model,achieve security by utilizing channel reciprocity entropy and noise entropy,*** contrast,we propose a novel secure transmission framework that combines noise entropy with reciprocity entropy,achieved by inserting reciprocity entropy into the frozen bits of polar *** that in real-world scenarios,when eavesdroppers employ polynomial-time attacks,the bit error rate(BEr)increases due to the introduction of computational *** achieve indistinguishability security,we convert the practical physical layer security metric,BEr,into the average min-entropy,a widely accepted concept in *** simulation results demonstrate that the eavesdropper’s BEr can be significantly increased without compromising the communication performance of the legitimate *** concrete parameters we selected,when compared to the joint scheme of physical layer key generation and one time pad,the modular semantically-secure scheme based on the wire-tap channel model,and the simple channel entropy combination scheme,our scheme achieves a message rate approximately 1.2 times,3.8 times,and 1.4 times better,*** testing validates the feasibility of our scheme.

关键词： Secure transmission framework Entropy combination Polar codes Physical layer security

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Machine learning assisted prediction of dielectric temperature spectrum of ferroelectrics

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Journal of Advanced Ceramics 2023年第9期12卷 1793-1804页

作者： Jingjin He Changxin Wang Junjie Li Chuanbao Liu dezhen Xue Jiangli Cao Yanjing Su Lijie Qiao Turab Lookman Yang Bai Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Institute for Advanced Material and Technology University of Science and Technology BeijingBeijing 100083China Faculty of Materials Science and Engineering Kunming University of Science and TechnologyKunming 650093China Sichuan Province Key Laboratory of Information Materials and Devices Application College of Optoelectronic EngineeringChengdu University of Information TechnologyChengdu 610225China School of Materials Science and Technology University of Science and Technology BeijingBeijing 100083China State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong UniversityXi’an 710049China AiMaterials Research LLC Santa FeNM 87501USA

In material science and engineering,obtaining a spectrum from a measurement is often time-consuming and its accurate prediction using data mining can also be *** this work,we propose a machine learning strategy based on a deep neural network model to accurately predict the dielectric temperature spectrum for a typical multi-component ferroelectric system,i.e.,(Ba_(1−x−y)Ca_(x)Sr_(y))(Ti_(1−u−v−w)Zr_(u)Sn_(v)Hf_(w))O_(3).The deep neural network model uses physical features as inputs and directly outputs the full spectrum,in addition to yielding the octahedral factor,Matyonov–Batsanov electronegativity,ratio of valence electron to nuclear charge,and core electron distance(Schubert)as four key *** to the physically meaningful features,our model exhibits better performance and generalization ability in the broader composition space of BaTiO3-based solid *** the prediction accuracy is superior to traditional machine learning models that predict dielectric permittivity values at each ***,the transition temperature and the degree of dispersion of the ferroelectric phase transition are easily extracted from the predicted spectra to provide richer physical *** prediction is also experimentally validated by typical samples of(Ba_(0.85)Ca_(0.15))(Ti_(0.98–x)Zr_(x)Hf_(0.02))O_(3).This work provides insights for accelerating spectra predictions and extracting ferroelectric phase transition information.

关键词： machine learning(ML) dielectric temperature spectrum ferroelectrics phase transition information

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Genome-wide association study identifies novel loci associated with feed efficiency traits in Hu lambs

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Journal of Integrative Agriculture 2025年第4期24卷 1259-1269页

作者： deyin Zhang Xiaolong Li Fadi Li Xiaoxue Zhang Yuan Zhao Yukun Zhang Zongwu Ma Huibin Tian Xiuxiu Weng Weimin Wang State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems Key Laboratory of Grassland Livestock Industry InnovationMinistry of Agriculture and Rural Affairs/Engineering Research Center of Grassland IndustryMinistry of Education/College of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhou 730020China College of Animal Science and Technology Gansu Agricultural UniversityLanzhou 730070China

Feed efficiency(FE)is a crucial economic trait that significantly impacts profitability in intensive sheep production,and can be evaluated by the residual feed intake(rFI)and feed conversion ratio(FCr).However,the underlying genetic mechanisms that underlie FE-related traits in sheep are not fully ***,we measured the FE-related traits of 1,280 Hu sheep and conducted the phenotype statistics and correlation analysis,the result showcase that there was a large variation for FE-related traits,and rFI was significant positive correlation with average daily feed intake(AdFI)and ***,a genome-wide association study(GWAS)was conducted using whole-genome resequencing data to investigate the genetic associations of AdFI,FCr and *** AdFI and FCr traits,2 and one single nucleotide polymorphisms(SNPs)exceeded the genome-wide significance threshold,whereas ten and 5 SNPs exceeded the suggestive significance *** rFI traits,only 4 SNPs exceeded the suggestive significance ***,a total of 8 genes(LOC101121953,LOC101110202,CTNNA3,IZUMO3,PPM1E,YIPF7,ZSCAN12and LOC105603808)were identified as potential candidate genes for FE-related ***,we further analyzed the effects of 2 candidate SNPs associated with rFI on growth and FE traits in enlarged experimental population,the results demonstrated that these 2 SNPs was not significantly associated with growth traits(P>0.05),but significantly related to rFI traits(P<0.05).These findings will provide valuable reference data and key genetic variants that can be used to effectively select feed-efficient individual in sheep breeding programs.

关键词： sheep feed efficiency GWAS re-sequencing rFI FCr

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Beamforming design for Integrated Communication and Jamming Systems with Unknown CSI:A Hybrid data-driven and Model-Based Approach

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China Communications 2025年第4期22卷 81-99页

作者： Liu Jiteng ding Guoru Xu Yitao Wang Haichao Gu Jiangchun College of Communications Engineering Army Engineering University of PLANanjing 210007China

The integrated communication and jamming(ICAJ)system recently has been proposed to enable communication and jamming(C&J)to reinforce each other in one *** exploiting the diversity gain of multiple input multiple output(MIMO)technology,a specific implementation form of ICAJ system,called communication-aided collaborative jamming system,is designed to transmit C&J signals at the same time and *** from previous studies which overlook the jamming prior information acquisition process and assume that the prior information is perfect or with bounded error,this paper takes the non-cooperative characteristics of jamming and the consequent difficulty in prior information acquisition into *** analyze the tradeoff between C&J,the integration metric is proposed and then the corresponding system design problem is ***,the non-convexity of problem and the lack of jamming prior information make the optimization *** this case,blind channel estimation(BCE)is introduced to obtain an approximate channel state information(CSI)without interacting with jamming targets and then the neural network embedded with system performance calculation model is developed to establish the correspondence between the estimated CSI and optimal beamforming ***,a hybrid data-driven and model-based approach,blind channel estimation-deep learning(BCEdL),is proposed to accomplish the beamforming design based on unsupervised learning for ICAJ system in non-cooperative *** simulation results show that the BCE-dL algorithm outperforms the conventional algorithms in the presence of CSI estimation errors and is a flexible approach which takes the best of both data-driven and model-based methods to design the ICAJ system.

关键词： blind channel estimation deep learning integrated communication and jamming(ICAJ) multiple input multiple output(MIMO)

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Meta-Auto-decoder:a Meta-Learning-Based reduced Order Model for Solving Parametric Partial differential Equations

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Communications on Applied Mathematics and Computation 2024年第2期6卷 1096-1130页

作者： Zhanhong Ye Xiang Huang Hongsheng Liu Bin dong Beijing International Center for Mathematical Research Peking UniversityBeijing 100871China School of Computer Science and Technology University of Science and Technology of ChinaHefei 230027AnhuiChina Central Software Institute Huawei Technologies Co.LtdHangzhou 310007ZhejiangChina Center for Machine Learning Research Peking UniversityBeijing 100871China

Many important problems in science and engineering require solving the so-called parametric partial differential equations(PdEs),i.e.,PdEs with different physical parameters,boundary conditions,shapes of computational domains,*** reduced order modeling techniques accelerate the solution of the parametric PdEs by projecting them onto a linear trial manifold constructed in the ofline *** methods often need a predefined mesh as well as a series of precomputed solution snapshots,and may struggle to balance between the efficiency and accuracy due to the limitation of the linear *** the nonlinear representation of neural networks(NNs),we propose the Meta-Auto-decoder(MAd)to construct a nonlinear trial manifold,whose best possible performance is measured theoretically by the decoder *** on the meta-learning concept,the trial manifold can be learned in a mesh-free and unsupervised way during the pre-training *** adaptation to new(possibly heterogeneous)PdE parameters is enabled by searching on this trial manifold,and optionally fine-tuning the trial manifold at the same *** numerical experiments show that the MAd method exhibits a faster convergence speed without losing the accuracy than other deep learning-based methods.

关键词： Parametric partial differential equations(PdEs) Meta-learning reduced order modeling Neural networks(NNs) Auto-decoder

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Preliminary study of the electrospray dPE peculiarities from the liquid surface in the presence of the CSWs

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Plasma Science and Technology 2024年第5期26卷 110-120页

作者：贺伟国霍卫杰韩罗峰朱康武王锋王泽坤 School of Mechatronic Engineering and Automation Shanghai UniversityShanghai 200444People’s Republic of China Shanghai Aerospace Electronic Technology Institute Shanghai 201109People’s Republic of China Shanghai Aerospace Control Technology Institute Shanghai 201109People’s Republic of China

The Ultrasonic Electric Propulsion(UEP)system is a cutting-edge propulsion technology that is mostly used on platforms for small satellites(less than 10 kg).The characteristics of droplet partial emissions(dPEs)in the UEP system are investigated using a high-speed imaging technique(an ultra-high speed camera(NAC HX-6)and a long-distance microscope)in this *** experiments demonstrate that there are a few partial emission modes,including left-side emission,double-side emission,and right-side emission,that are present in the droplet emission process of the UEP *** modes are primarily caused by the partial formation of capillary standing waves(CSWs)on the emission surface of the ultrasonic *** emission rate for single-and double-sided emissions varies at different times,indicating that there are different CSWs engaged in droplet emission due to variations in the liquid film thickness and charge state of the liquid ***,as the droplets emit continuously,a raised area on the emission surface appears,with several droplets emitting there as a result of charge ***,photos of the CSWs with emitting droplets are obtained,which highlights the CSWs'distinctive wave morphology.

关键词： ultrasonic electric propulsion system microsatellite high-speed imaging technique droplet partial emissions electric field

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direct Photolithography of WO_(x) Nanoparticles for High‑resolution Non‑Emissive displays

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Nano-Micro Letters 2025年第3期17卷 297-309页

作者： Chang Gu Guojian Yang Wenxuan Wang Aiyan Shi Wenjuan Fang Lei Qian Xiaofei Hu Ting Zhang Chaoyu Xiang Yu‑Mo Zhang Laboratory of Optoelectronic Information Technology and Devices Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo 315201People’s Republic of China Hangzhou Bay Laboratory of Advanced Nano‑Optoelectronic Materials and Devices Qianwan Institute of CNITECHNingbo 315336People’s Republic of China Smart Materials for Architecture Research Lab Innovation Center of Yangtze River DeltaZhejiang UniversityJiaxing 314100People’s Republic of China University of Science and Technology of China Hefei 230026People’s Republic of China State Key Lab of Supramolecular Structure and Materials College of ChemistryJilin UniversityChangchun 130012People’s Republic of China

High-resolution non-emissive displays based on electrochromic tungsten oxides(WOx)are crucial for future near-eye virtual/augmented reality interactions,given their impressive attributes such as high environmental stability,ideal outdoor readability,and low energy ***,the limited intrinsic structure of inorganic materials has presented a significant challenge in achieving precise patterning/pixelation at the micron ***,we successfully developed the direct photolithography for WOx nanoparticles based on in situ photo-induced ligand *** strategy enabled us to achieve ultra-high resolution efficiently(line width<4μm,the best resolution for reported inorganic electrochromic materials).Additionally,the resulting device exhibited impressive electrochromic performance,such as fast response(<1 s at 0 V),high coloration efficiency(119.5 cm^(2) C^(−1)),good optical modulation(55.9%),and durability(>3600 cycles),as well as promising applications in electronic logos,pixelated displays,flexible electronics,*** success and advancements presented here are expected to inspire and accelerate research and development(r&d)in high-resolution non-emissive displays and other ultra-fine micro-electronics.

关键词： Electrochromic direct photolithography WOx nanoparticles In situ photo-induced ligand exchange High-resolution displays

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Formation of the Tibetan Plateau during the India-Eurasia Convergence:Insight from 3-d Multi-Terrane Thermomechanical Modeling

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Journal of Earth Science 2024年第1期35卷 112-130页

作者： Jile Chen Peimin Zhu Yuefeng Yuan Guifan Chen School of Geophysics and Geomatics China University of GeosciencesWuhan 430074China Geothermal Engineering Research Center Three Gorges Geotechnical Consultants Co.Ltd.Wuhan 430074China

Various models exist to explain the formation of the Tibetan Plateau,including“tectonic escape”,“pure shear thickening”,“convective removal of the lithospheric mantle”,and“lower crustal flow”*** first two models are primarily constructed on pure mechanical models but are unable to reasonably explain the tension and shear phenomena inside the *** latter two are rheological dynamic models based on deep geophysical ***,the spatial range of the lower crustal flow and its role in the plateau formation/uplift remain *** multi-terrane viscoplastic thermomechanical models were constructed to simulate the uplift and lithospheric structure change of the Tibetan Plateau during the post-collision stage(since 35 Ma)under the convergence of the Indian *** show that the plateau's formation begins with crustal thickening,blocked by strong terranes at the northern plateau,and expanded laterally to the *** lithosphere thickens gradually and experiences delamination at its base,elevating temperature within the crust and forming partial melting layers in the central *** convergence persists on the southern side,the northern plateau's lithosphere bends downward and undergoes delamination,further heating the crust and promoting the northward and eastward flow of partial melting layers,leading to secondary uplift around the plateau.

关键词： 3-d thermomechanical modeling Tibetan Plateau plateau uplift crustal flow

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dimensions optimization design of a low-speed wind tunnel for an expanded test section with limited overall space

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WINd ANd STrUCTUrES 2025年第1期40卷 61-74页

作者： Xu, Wen-Peng Martinelli, Luca Xu, Zhao-dong dai, Jun Southeast Univ China Pakistan Belt & Rd Joint Lab Smart Disaster Nanjing 210096 Peoples R China Southeast Univ Sch Civil Engn Nanjing 210096 Peoples R China Politecn Milan Dept Civil & Environm Engn I-20133 Milan Italy Northeastern Univ Sch Resources & Civil Engn Shenyang 110819 Peoples R China

In this paper, a novel multi-objective optimization framework is proposed for the global dimensions of the low- speed wind tunnel supported by the Belt and road Joint Laboratory (BrJL-LWT). Three indexes are considered in the process: the flow quality index, the total pressure loss index and the test section volume index. The flow quality is taken as a constraint on the aerodynamic requirements, while pursuing a larger test section space and lower total pressure loss. A multi-objective optimization algorithm is adopted as the solver for the optimization process at four initial flow velocities. The results show that the flow quality of the optimized large test section fully meets the target requirements for structure fluid testing. The total pressure loss index is inversely proportional to the test section volume index for all initial flow velocities. Finally, the optimal BrJL-LWT dimensions are determined and the optimal BrJL-LWT model is developed. The fluid analyses are performed to assess the flow uniformity and turbulence intensity of the fluid within the test section. This optimization framework not only enables the designed wind tunnel to produce the required flow field conditions, but also makes efficient use of the test section space and reduces the facility's operational energy consumption, which significantly extends the applicability of the wind tunnel design.

关键词： dimensions design flow quality large test section multi-objective optimization wind tunnel

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Unlocking lignin valorization and harnessing lignin-based raw materials for bio-manufacturing

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Science China(Life Sciences) 2025年第4期68卷 994-1009页

作者： Le Gao Fangting Jiang Zhaokun Zhang Tongtong Bao daochen Zhu Xin Wu Tianjin Institute of Industrial Biotechnology Chinese Academy of SciencesTianjin 300308China International Joint Laboratory on Synthetic Biology and Biomass Biorefinery Biofuels InstituteSchool of Emergency ManagementSchool of the Environment and Safety EngineeringJiangsu UniversityZhenjiang 212013China

Lignin,an energy-rich and adaptable polymer comprising phenylpropanoid monomers utilized by plants for structural reinforcement,water conveyance,and defense mechanisms,ranks as the planet's second most prevalent biopolymer,after *** its prevalence,lignin is frequently underused in the process of converting biomass into fuels and ***,it is commonly incinerated for industrial heat due to its intricate composition and resistance to decomposition,presenting obstacles for targeted *** contrast to chemical catalysts,biological enzymes show promise not only in selectively converting lignin components but also in seamlessly integrating into cellular structures,offering biocatalysis as a potentially efficient pathway for lignin *** review comprehensively summarizes cutting-edge biostrategies,ligninolytic enzymes,metabolic pathways,and lignin-degrading strains or consortia involved in lignin degradation,while critically evaluating the underlying *** and genetic engineering play crucial roles in redirecting lignin and its derivatives towards metabolic pathways like the tricarboxylic acid cycle,opening up novel avenues for its *** advancements in lignin valorization are scrutinized,highlighting key challenges and promising ***,the review underscores the importance of innovative approaches,such as leveraging digital systems and synthetic biology,to unlock the commercial potential of lignin-derived raw materials as sustainable *** intelligence-driven technologies offer promise in overcoming current challenges and driving widespread adoption of lignin valorization,presenting an alternative to sugar-based feedstocks for bio-based manufacturing in the *** utilization of available lignin residue for synthesis of high-value chemicals or energy,even alternative food,addresses various crises looming in the food-energy-water nexus.

关键词： lignin utilization lignin-based raw materials bio-manufacturing synthetic biology artificial intelligence-driven lignin valorization

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