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基于相对熵与斜信息部分相干度量的量子态序

南昌航空大学学报（自然科学版） 2024年第1期38卷 52-56页

作者：李学强张福刚南昌航空大学数学与信息科学学院南昌330063

相干度量是描述量子相干性的重要数学工具,从不同的角度去研究不同的相干度量对研究量子相干性有很大的帮助。因此,以两量子比特纯态以及2种特殊的Bell对角态(Werner态和MNMS态)为研究对象,对其在相对熵部分相干和斜信息部分相干上相干... 详细信息

相干度量是描述量子相干性的重要数学工具,从不同的角度去研究不同的相干度量对研究量子相干性有很大的帮助。因此,以两量子比特纯态以及2种特殊的Bell对角态(Werner态和MNMS态)为研究对象,对其在相对熵部分相干和斜信息部分相干上相干值的大小进行比较,可以发现相对熵部分相干和斜信息部分相干度量对于以上所提出的3类特殊的两比特量子态都有相同的量子态序。

关键词：相对熵相干斜信息相干 Bell对角态量子态序

Ablation behaviour and mechanical performance of ZrB_(2)-ZrC-SiC modified carbon/carbon composites prepared by vacuum infiltration combined with reactive melt infiltration

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新型炭材料（中英文） 2024年第4期39卷 633-644页

作者： zhang Jia-ping SU Xiao-xuan LI Xin-gang WANG Run-ning fu Qian-gang Shaanxi Key Laboratory of Fiber Reinforced Light Composite Materials Northwestern Polytechnical UniversityXi’an 710072China

The development of advanced aircraft relies on high performance thermal-structural materials,and carbon/carbon com-posites(C/C)composited with ultrahigh-temperature ceramics are ideal ***,the traditional routes of compositing are either inefficient and expensive or lead to a non-uniform distribution of ceramics in the *** with the traditional C/C-ZrC-SiC composites prepared by the reactive melt infiltration of ZrSi_(2),C/C-ZrB_(2)-ZrC-SiC composites prepared by the vacuum infiltration of ZrB_(2) combined with reactive melt infiltration have the higher content and more uniform distribution of the introduced ceramic *** mass and linear ablation rates of the C/C-ZrB_(2)-ZrC-SiC composites were respectively 68.9%and 29.7%lower than those of C/C-ZrC-SiC composites prepared by reactive melt *** ablation performance was improved because the volatilization of B_(2)O_(3),removes some of the heat,and the more uniformly distributed ZrO_(2),that helps produce a ZrO2-SiO2 continu-ous protective layer,hinders oxygen infiltration and decreases ablation.

关键词： C/C composites ZrB_(2)-ZrC-SiC Vacuum filtration Reactive melt infiltration Ablation.

Classification of knowledge graph completeness measurement techniques

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Journal of Systems Engineering and Electronics 2024年第1期35卷 154-162页

作者： zhang Ying XIAO gang Institute of Systems Engineering Academy of Military SciencesBeijing 100107China

At present,although knowledge graphs have been widely used in various fields such as recommendation systems,question and answer systems,and intelligent search,there are always quality problems such as knowledge omissions and *** assessment and control,as an important means to ensure the quality of knowledge,can make the applications based on knowledge graphs more complete and more accurate by reasonably assessing the knowledge graphs and fixing and improving the quality problems at the same ***,as an indispensable part of the knowledge graph construction process,the results of quality assessment and control determine the usefulness of the knowledge *** them,the assessment and enhancement of completeness,as an important part of the assessment and control phase,determine whether the knowledge graph can fully reflect objective phenomena and reveal potential connections among *** this paper,we review specific techniques of completeness assessment and classify completeness assessment techniques in terms of closed world assumptions,open world assumptions,and partial completeness *** purpose of this paper is to further promote the development of knowledge graph quality control and to lay the foundation for subsequent research on the completeness assessment of knowledge graphs by reviewing and classifying completeness assessment techniques.

关键词： quality assessment completeness assessment closed world assumptions open world assumption partial completeness assumption

MADDPG-D2: An Intelligent Dynamic Task Allocation Algorithm Based on Multi-Agent Architecture Driven by Prior Knowledge

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2559-2586页

作者： Tengda Li gang Wang Qiang fu College of Air and Missile Defense Air Force Engineering UniversityXi’an710051China

Aiming at the problems of low solution accuracy and high decision pressure when facing large-scale dynamic task allocation(DTA)and high-dimensional decision space with single agent,this paper combines the deep reinforce-ment learning(DRL)theory and an improved Multi-Agent Deep Deterministic Policy Gradient(MADDPG-D2)algorithm with a dual experience replay pool and a dual noise based on multi-agent architecture is proposed to improve the efficiency of *** algorithm is based on the traditional Multi-Agent Deep Deterministic Policy Gradient(MADDPG)algorithm,and considers the introduction of a double noise mechanism to increase the action exploration space in the early stage of the algorithm,and the introduction of a double experience pool to improve the data utilization rate;at the same time,in order to accelerate the training speed and efficiency of the agents,and to solve the cold-start problem of the training,the a priori knowledge technology is applied to the training of the ***,the MADDPG-D2 algorithm is compared and analyzed based on the digital battlefield of ground and air *** experimental results show that the agents trained by the MADDPG-D2 algorithm have higher win rates and average rewards,can utilize the resources more reasonably,and better solve the problem of the traditional single agent algorithms facing the difficulty of solving the problem in the high-dimensional decision *** MADDPG-D2 algorithm based on multi-agent architecture proposed in this paper has certain superiority and rationality in DTA.

关键词： Deep reinforcement learning dynamic task allocation intelligent decision-making multi-agent system MADDPG-D2 algorithm

Comparison of immune responses and intestinal flora in epicutaneously sensitized BALB/c or C57BL/6 mouse models of food allergy

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Food Science and Human Wellness 2024年第2期13卷 668-680页

作者： gang Yu Yuhao Jiang Shuifeng zhang Pengpeng Liu Shunyu Wang Huadong Sheng Yanbo Wang Qiaozhi zhang Linglin fu Food Safety Key Laboratory of Zhejiang Province School of Food Science and BiotechnologyZhejiang Gongshang UniversityHangzhou 310018China Zhejiang Fangyuan Test Group Co. Ltd.Hangzhou 310018China Key Laboratory of Biosafety Detection for Zhejiang Market Regulation Hangzhou 310018China Zhejiang Liziyuan Food Co. LtdJinhua 321031China

Cutaneous exposure to food allergens through a disrupted skin barrier is recognized as an important cause of food allergy,and the cutaneous sensitized mouse model has been established to investigate relevant allergic ***,the role of different genetic backgrounds of mice on immune responses to food allergens upon epicutaneous sensitization is largely *** this study,two strains of mice,i.e.,the BALB/c and C57BL/6 mice,were epicutaneously sensitized with ovalbumin on atopic dermatitis(AD)-like skin lesions,followed by intragastric challenge to induce IgE-mediated food *** outcomes were measured as clinical signs,specific antibodies and cytokines,and immune cell subpopulations,as well as changes in intestinal barrier function and gut *** showed that both strains of mice exhibited typical food-allergic symptoms with a Th2-skewed *** C57BL/6 mice,rather than the BALB/c mice,were fitter for establishing an epicutaneously sensitized model of food allergy since a stronger Th2-biased response and severer disruptions in the intestinal barrier and gut homeostasis were *** study provides knowledge for selecting an appropriate mouse model to study food-allergic responses associated with AD-like skin lesions and highlights the role of genetic variations in the immune mechanism underlying pathogenesis of food allergy.

关键词： Food allergy Mouse models Epicutaneous sensitization Th2 response Gut microbiota

Nanophononic metamaterials induced proximity effect in heat flux regulation

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Frontiers of physics 2024年第2期19卷 149-156页

作者： Jian zhang Haochun zhang gang zhang School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001China Institute of High Performance Computing Agency for ScienceTechnology and Research(A*STAR)Singapore 138632Singapore

Recent studies have shown that the construction of nanophononic metamaterials can reduce thermal conductivity without affecting electrical properties,making them promising in many fields of application,such as energy conversion and thermal ***,although extensive studies have been carried out on thermal conductivity reduction in nanophononic metamaterials,the local heat flux characteristic is still *** this work,we construct a heat flux regulator which includes a silicon nanofilm with silicon *** regulator has remarkable heat flux regulation ability,and various impacts on the regulation ability are ***,even in the region without nanopillars,the local heat current is still lower than that in pristine silicon nanofilms,reduced by the neighboring nanopillars through the thermal proximity *** combine the analysis of the phonon participation ratio with the intensity of localized phonon modes to provide a clear *** findings not only provide insights into the mechanisms of heat flux regulation by nanophononic metamaterials,but also will open up new research directions to control local heat flux for a broad range of applications,including heat management,thermoelectric energy conversion,thermal cloak,and thermal concentrator.

关键词： nanophononic metamaterials proximity effect

Density functional Theory Study on Spin States of LaCoO3 at Room Temperature

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Chinese Journal of Chemical Physics 2014年第3期27卷 274-278页

作者： Xiang-bo zhang gang fu Hui-lin Wan State Key Laboratory for Physical Chemistry of Solid Surfaces Department of Chemistry College ofChemistry & Chemical Engineering Xiamen University Xiamen 361005 China

在房间温度结构(293 K ) 的 perovskite LaCoO3 的电子结构被使用 PBE， PBE+U 和 HSE 计算。不同旋转配置被考虑了。我们的计算证明在在 HSE 的 DFT+U 和混合因素的 Hubbard U 参数的选择显著地象相对精力一样影响了乐队差距。因为旋... 详细信息

在房间温度结构(293 K ) 的 perovskite LaCoO3 的电子结构被使用 PBE， PBE+U 和 HSE 计算。不同旋转配置被考虑了。我们的计算证明在在 HSE 的 DFT+U 和混合因素的 Hubbard U 参数的选择显著地象相对精力一样影响了乐队差距。因为旋转退出了状态，为 U 的最佳的价值并且是 3.0 eV 并且 0.05 分别地。当时，我们的计算也强调了那 U5.0 eV， PBE+U 将导致无理的电子结构和精力顺序。

关键词： LaCoO3 密度泛函理论自旋态室温电子结构 PBE 计算表自旋结构

Förster resonance energy transfer reveals phillygenin and swertiamarin concurrently target AKT on different binding domains to increase the anti-inflammatory effect

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Chinese Chemical Letters 2024年第5期35卷 207-212页

作者： Xiaoyao Ma Jinling zhang Ge Fang He Gao Jie Gao Li fu Yuanyuan Hou gang Bai State Key Laboratory of Medicinal Chemical Biology College of Pharmacy and Tianjin Key Laboratory of Molecular Drug ResearchNankai UniversityTianjin 300000China College of Life Health Dalian UniversityDalian 116622China Dalian fusheng Pharmaceutical Co. Ltd.Dalian 116000China

The clinical benefit of combination therapy is significant,but it is not easy to define the mechanism of complexity and *** studies illustrate that phillygenin(Phi)binds in the allosteric inhibit pocket of protein kinase B(AKT),and swertiamarin(Swe)acts on the pleckstrin homology(PH)domain of ***,the combined synergistic effect of relieving the inflammatory response has yet to be *** on high sensitivity,specificity and fast-responsibility fluorescent sensors,the Förster resonance energy transfer(FRET)technique offers a route to provide clear insights into physiological and pathological *** the study,molecular docking,the fluorescent probes of Phi and Swe for FRET were designed and *** analysis shown that Swe and Phi concurrently acted on the PH domain and allosterically inhibited pocket of AKT,*** combination of Swe and Phi significantly increased the heat stability of AKT and decreased protease-induced *** lipopolysaccharides(LPS)-induced mice and cells,the combination arrested AKT activation,nuclear factor kappa-B(NF-κB)phosphorylation,and the expression of tumor necrosis factor-α(TNF-α),interleukin(IL)-6 and *** conclusion,FRET revealed Phi and Swe concurrently targeted AKT on different domains and the combination of Phi and Swe enhanced the anti-inflammatory effect.

关键词： FRET Swertiamarin Phillygenin AKT Anti-inflammation Combinatorial drug

Deep Guided Attention Network for Joint Denoising and Demosaicing in Real Image

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Chinese Journal of Electronics 2024年第1期33卷 303-312页

作者： Tao zhang Ying fu Jun zhang School of Computer Science and Technology Beijing Institute of Technology Advanced Reasearch Institute of Multidisciplinary Science Beijing Institute of Technology

Denoising(DN) and demosaicing(DM) are the first crucial stages in the image signal processing pipeline. Recently, researches pay more attention to solve DN and DM in a joint manner, which is an extremely undetermined inverse problem. Existing deep learning methods learn the desired prior on synthetic dataset, which limits the generalization of learned network to the real world data. Moreover, existing methods mainly focus on the raw data property of high green information sampling rate for DM, but occasionally exploit the high intensity and signalto-noise(SNR) of green channel. In this work, a deep guided attention network(DGAN) is presented for real image joint DN and DM(JDD), which considers both high SNR and high sampling rate of green information for DN and DM, respectively. To ease the training and fully exploit the data property of green channel, we first train DN and DM sub-networks sequentially and then learn them jointly, which can alleviate the error accumulation. Besides, in order to support the real image JDD, we collect paired raw clean RGB and noisy mosaic images to conduct a realistic dataset. The experimental results on real JDD dataset show the presented approach performs better than the state-of-the-art methods, in terms of both quantitative metrics and qualitative visualization.

关键词： Training Visualization Inverse problems Green products Noise reduction Pipelines Signal processing