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Diagnostic accuracy of dual-layer spectral computed tomography virtual monoenergetic imaging with multiplanar reformation for Tstaging of colorectal cancer
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作者 Fei-Xiang Chen Ke-Ke Jiang +4 位作者 Jian-Feng Zhu Mei-Rong Wang Xiao-Le Fan Ju-Shun Yang Bo-Sheng He 《World Journal of Gastroenterology》 2025年第32期26-40,共15页
BACKGROUND Accurate preoperative T staging is essential for determining optimal treatment strategies in colorectal cancer(CRC).Low-keV virtual monoenergetic images(VMIs)have been shown to enhance lesion conspicuity.Th... BACKGROUND Accurate preoperative T staging is essential for determining optimal treatment strategies in colorectal cancer(CRC).Low-keV virtual monoenergetic images(VMIs)have been shown to enhance lesion conspicuity.This study aimed to assess the diagnostic value of dual-layer spectral computed tomography(CT)-derived VMIs,in combination with multiplanar reformation(MPR)and evaluation of peritumoral fat stranding(PFS),for improving the accuracy of T staging in CRC.AIM To assess the diagnostic performance of dual-layer spectral CT(DLSCT)VMIs,particularly at low energy levels,and their integration with personalized MPR for preoperative T staging of CRC.METHODS In this retrospective study,157 patients with pathologically confirmed CRC(mean age:63.5±12.1 years)underwent DLSCT within 1 week before surgery.VMIs ranging from 40 keV to 70 keV(at 10 keV intervals)and conventional polyenergetic images(PEIs)were reconstructed.Objective image quality parameters,including image noise,signal-to-noise ratio(SNR),and contrast-to-noise ratio(CNR),were quantified,alongside subjective image quality scores using a 5-point Likert scale.Interobserver agreement was evaluated usingκstatistics.Taking histopathology as the reference standard,the diagnostic accuracy of T staging(T1-2 vs T3-4)was compared across PEIs and VMIs,both with and without MPR and PFS.RESULTS Low-keV VMIs(40-70 keV)demonstrated significantly higher SNR and CNR than PEIs(all P<0.001).Notably,40-keV VMIs achieved noise levels comparable to PEIs(8.17±3.63 vs 8.53±2.90;P=0.673).Subjective image quality peaked at 40-50 keV VMIs(Likert scores 4.85-4.88 vs 3.97 for PEIs;P<0.001),supported by excellent interobserver agreement(κ=0.812-0.913).The combination of 40-50 keV VMIs with MPR yielded the highest T staging accuracy(94.27%)compared to axial PEIs(70.7%),with a sensitivity and specificity of 83.87%and 96.83%,respectively(Youden index=0.81;P<0.05).While PFS enhanced staging accuracy on PEIs(up to 77.07%with MPR),it provided no significant additional benefit for VMIs.CONCLUSION DLSCT VMIs at 40-50 keV significantly enhanced image quality and improved preoperative T staging accuracy of CRC when combined with MPR.These findings underscored the clinical value of low-keV spectral imaging in tailoring individualized treatment strategies. 展开更多
关键词 Colorectal cancer dual-layer spectral computed tomography Multiplanar reformation Peritumoral fat stranding T staging Virtual monoenergetic images
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100 W-class green hydrogen production from ammonia at a dual-layer electrode containing a Pt-Ir catalyst for an alkaline electrolytic process
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作者 Donghyun Yoon Sunki Chung +2 位作者 Minjun Choi Eunhyeok Yang Jaeyoung Lee 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2024年第6期352-360,I0009,共10页
Ammonia allows storage and transport of hydrogen over long distances and is an attractive potential hydrogen carrier.Electrochemical decomposition has recently been used for the conversion of ammonia to hydrogen and i... Ammonia allows storage and transport of hydrogen over long distances and is an attractive potential hydrogen carrier.Electrochemical decomposition has recently been used for the conversion of ammonia to hydrogen and is regarded as a future technology for production of CO_(2)-free pure hydrogen.Herein,a heterostructural Pt-Ir dual-layer electrode is developed and shown to achieve successful long-term operation in an ammonia electrolyzer with an anion exchange membrane(AEM).This electrolyzer consisted of eight membra ne electrode assemblies(MEAs)with a total geometric area of 200 cm~2 on the anode side,which resulted in a hydrogen production rate of 25 L h~(-1).We observed the degradation in MEA performance attributed to changes in the anode catalyst layer during hydrogen production via ammonia electrolysis.Furthermore,we demonstrated the relationship between the ammonia oxidation reaction(AOR)and the oxygen evolution reaction(OER). 展开更多
关键词 Ammonia oxidation dual-layer catalyst Green hydrogen Electrolytic process Oxygen evolution reaction
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Dual-layer vermiculite nanosheet based hybrid film to suppress dendrite growth in lithium metal batteries 被引量:4
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作者 Xiang-Qun Xu Feng-Ni Jiang +5 位作者 Shi-Jie Yang Ye Xiao He Liu Fangyang Liu Lei Liu Xin-Bing Cheng 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2022年第6期205-210,I0006,共7页
Lithium metal anode has become a favorable candidate for next-generation rechargeable batteries.However, the unstable interface between lithium metal and electrolyte leads to the growth of dendrites,resulting in the l... Lithium metal anode has become a favorable candidate for next-generation rechargeable batteries.However, the unstable interface between lithium metal and electrolyte leads to the growth of dendrites,resulting in the low Coulombic efficiency and even the safety concerns. Herein, a rigid-flexible dual-layer vermiculite nanosheet(VN) based organic-inorganic hybrid film on lithium metal anode is proposed to suppress dendrite growth and relieve volume fluctuations. The inner mechanically robust VN layer(3 μm thick) enhances the mechanical properties of the protective layer, while the outer polymer(4 μm thick) can enhance the flexibility of the hybrid layer. The Li | Li symmetric cell with protected lithium shows an extended life of over 670 h. The full cell with Li anode protected by dual-layer interface exhibits a better capacity retention of 80% after 174 cycles in comparison to bare Li anode with 94 cycles.This study provides a novel approach and a significant step towards prolonging lifespan of lithium metal batteries. 展开更多
关键词 Lithium metal anode DENDRITE Organic-inorganic hybrid layer dual-layer interface Two-dimensional vermiculite nanosheet
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Fabrication of ZIF-8 membranes on dual-layer ZnO-PES/PES organic hollow fibers by in-situ crystallization 被引量:3
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作者 Zhengchi Yin Xiaoke Wu +5 位作者 Yanwei Yang Huayu Zhang Wangtao Li Ruimin Zhu Qiancheng Zheng Zhengbao Wang 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2023年第3期101-110,共10页
Compared to inorganic supports, polymeric supports can offer additional benefits, e.g., easier processing and cheaper. However, the organic surface has weak adhesion to the zeolitic imidazolate frameworks(ZIFs) membra... Compared to inorganic supports, polymeric supports can offer additional benefits, e.g., easier processing and cheaper. However, the organic surface has weak adhesion to the zeolitic imidazolate frameworks(ZIFs) membrane layer, which usually requires complex surface modification or seeding. Herein, we demonstrate that a dual-layer asymmetric polymer support prepared by a simple spinning process is a good candidate for the preparation of ZIF-8 membrane. The inner layer of the support is an organic hollow fiber(PES) with finger-like pores, and the outer layer is a ZnO-PES composite layer with finger-like pores also. The ZnO-PES composite layer is expected to contain uniform ZnO crystals in the polymer matrix, i.e., the ZnO particles in the skin layer of the support are not easy to fall off. Under the induction of ZnO particles in the outer layers, continuous ZIF-8 membranes can be prepared by single in-situ crystallization, showing good adhesion to the supports. The obtained ZIF-8 membranes show a H_(2) permeance of 8.7 × 10^(-8)mol·m^(-2)·s^(-1)·Pa^(-1) with a H_(2)/N_(2) ideal separation selectivity of 18.0. The design and preparation of this dual-layer polymer support is expected to promote the large-scale application of MOF membranes on polymer supports. 展开更多
关键词 dual-layer PES hollow fiber In-situ crystallization ZIF-8 membrane Gas separation ZNO
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Research on Bottomhole Pressure Control Method Based on Backpressure Regulation in Deepwater Dual-Layer Pipe Dual-Gradient Drilling
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作者 Xin Liu Zheng Zhang +4 位作者 Yu Zhao Yi Yang Zhenning Qiao Zhibo Xu Xianzhi Yu 《Energy Engineering》 2025年第11期4679-4702,共24页
With the growing demand for offshore energy,deepwater drilling has become a vital technology in petroleum engineering.However,conventional drilling systems often face limitations such as delayed bottomhole pressure re... With the growing demand for offshore energy,deepwater drilling has become a vital technology in petroleum engineering.However,conventional drilling systems often face limitations such as delayed bottomhole pressure response and low control precision,particularly under narrow pressure window and complex formation conditions.To address these challenges,Dual-layer Pipe dual-gradient drilling(DGD)technology has been introduced,utilizing a dual-pipe structure and downhole lift pumps to extend the pressure control range.Despite these advantages,current DGD systems lack fast and precise bottomhole pressure control due to their reliance on indirect flow-based methods.This study proposes a bottomhole pressure control method based on backpressure regulation using a hybrid fuzzy-PID control strategy.A dynamic pressure calculation model is developed for the Dual-layer Pipe DGD system,incorporating coupling among choke valve opening,surface backpressure,and bottomhole pressure.The fuzzy-PID controller adjusts valve operation in real-time based on pressure deviation and its rate of change,improving response speed and control accuracy.Simulink-based simulations demonstrate that the proposed system achieves rapid pressure regulation with an overshoot below 5%and steady-state error under 0.12%.Compared to conventional PID control,the fuzzy-PID system shows superior adaptability to pressure variations.This research enhances the theoretical foundation of backpressure control in deepwater DGD operations and provides a practical approach for improving safety and efficiency in complex drilling environments. 展开更多
关键词 Deepwater dual-layer pipe dual-gradient drilling narrow density window bottomhole pressure control backpressure regulation
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Arbitrary acoustic orbital angular momentum detection using dual-layer metasurfaces
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作者 Zhanlei Hao Haojie Chen +4 位作者 Yuhang Yin Shan Zhu Yadong Xu Cheng-Wei Qiu Huanyang Chen 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS CSCD 2024年第6期106-112,共7页
Orbital angular momentum(OAM),with its unique physical properties and vast application prospects,has attracted widespread attention in various fields.Nonetheless,the development of valid and practical acoustic OAM det... Orbital angular momentum(OAM),with its unique physical properties and vast application prospects,has attracted widespread attention in various fields.Nonetheless,the development of valid and practical acoustic OAM detection methods continues to be a challenging endeavor.In this paper,we propose a novel construction method of dual-layer metasurfaces to achieve a doubleconversion process for the waveform reshaping and differentiated focusing of two-dimensional vortex sources with different OAMs.Specifically,by utilizing a concise formula,a one-to-one correspondence is established between the OAM of incident vortex waves and different imaging points.The fundamental principle of this special conversion relationship is rigorously constrained by the directional compensation of phase and the material parameters of dual-layer metasurfaces with different quadratic phase distributions.More importantly,the highly consistent results between numerical demonstrations and acoustic experiments further confirm the feasibility and effectiveness of the proposed OAM detection scheme.Our work provides a new perspective on the precise manipulation for the phase of vortex fields,holding potential applications in super-resolution imaging and the design of acoustic OAM-based devices. 展开更多
关键词 arbitrary acoustic OAM detection vortex waves dual-layer metasurfaces waveform reshaping differentiated focusing acoustic experiments
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Instance segmentation from small dataset by a dual-layer semantics-based deep learning framework
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作者 CHEN YiMing LI JianWei +6 位作者 HU XiaoBing LIU YiRui MA JianKai XING Chen LI JunJie WANG ZhiJun WANG JinCheng 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2024年第9期2817-2833,共17页
Efficient and accurate segmentation of complex microstructures is a critical challenge in establishing process-structure-property(PSP) linkages of materials. Deep learning(DL)-based instance segmentation algorithms sh... Efficient and accurate segmentation of complex microstructures is a critical challenge in establishing process-structure-property(PSP) linkages of materials. Deep learning(DL)-based instance segmentation algorithms show potential in achieving this goal.However, to ensure prediction reliability, the current algorithms usually have complex structures and demand vast training data.To overcome the model complexity and its dependence on the amount of data, we developed an ingenious DL framework based on a simple method called dual-layer semantics. In the framework, a data standardization module was designed to remove extraneous microstructural noise and accentuate desired structural characteristics, while a post-processing module was employed to further improve segmentation accuracy. The framework was successfully applied in a small dataset of bimodal Ti-6Al-4V microstructures with only 112 samples. Compared with the ground truth, it realizes an 86.81% accuracy IoU for the globular αphase and a 94.70% average size distribution similarity for the colony structures. More importantly, only 36 s was taken to handle a 1024 × 1024 micrograph, which is much faster than the treatment of experienced experts(usually 900 s). The framework proved reliable, interpretable, and scalable, enabling its utilization in complex microstructures to deepen the understanding of PSP linkages. 展开更多
关键词 instance segmentation dual-layer semantics deep learning small dataset TI-6AL-4V
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Optimization of dual-layer flow field in a water electrolyzer using a data-driven surrogate model
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作者 Lizhen Wu Zhefei Pan +4 位作者 Shu Yuan Xiaoyu Huo Qiang Zheng Xiaohui Yan Liang An 《Energy and AI》 2024年第4期27-36,共10页
Serious bubble clogging in flow-field channels will hinder the water supply to the electrode of proton exchange membrane water electrolyzer(PEMWE),deteriorating the cell performance.In order to address this issue,the ... Serious bubble clogging in flow-field channels will hinder the water supply to the electrode of proton exchange membrane water electrolyzer(PEMWE),deteriorating the cell performance.In order to address this issue,the dual-layer flow field design has been proposed in our previous study.In this study,the VOF(volume of fluid)method is utilized to investigate the effects of different degassing layer and base heights on the bubble behavior in channel and determine the time for the bubbles to detach from the electrode surface.However,it is very timeconsuming to get the optimal combination of base layer and degassing layer heights due to the large number of potential cases,which needs to be calculated through computation-intensive physical model.Therefore,machine learning methods are adopted to accelerate the optimization.A data-driven surrogate model based on deep neural network(DNN)is developed and successfully trained using data obtained by the physical VOF method.Based on the highly efficient surrogate,genetic algorithm(GA)is further utilized to determine the optimal heights of base layer and degassing layer.Finally,the reliability of the optimization was validated by bubble visualization in channel and electrochemical characterization in PEMWE through experiments. 展开更多
关键词 PEMWE dual-layer flow field Data-driven surrogate model Machine learning
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Collection efficiency in a three-dimensional randomly arranged dual-layer granular bed filter 被引量:5
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作者 Junlin Chen Xunfeng Li +1 位作者 Xiulan Huai Jingzhi Zhou 《Particuology》 SCIE EI CAS CSCD 2020年第2期88-94,共7页
The dual-layer granular bed filter packed with randomly arranged granules was simulated to study the effects of bed depth of the lower layer of fine granules and the inlet gas velocity on the collection mechanism.The ... The dual-layer granular bed filter packed with randomly arranged granules was simulated to study the effects of bed depth of the lower layer of fine granules and the inlet gas velocity on the collection mechanism.The computational results show that the collection efficiency is much better from this granular bed than a single-layer granular bed,especially for particle diameters of 1-10μm.The inlet gas velocity has less effect on the grade collection efficiency of the dual-layer granular bed than of the single-layer granular bed.The dual-layer granular bed provides a high collection efficiency and low pressure drop.The relationship between the grade collection efficiency and the Stokes number(St)based on the inlet gas velocity is obtained.If St is below a threshold,the grade collection efficiency remains stable;if St is in value above threshold,the grade collection efficiency increases linearly with lg(St).As the bed depth of the lower layer of fine granules increases,the threshold for St shifts forward. 展开更多
关键词 dual-layer granular bed filter Pressure drop Grade collection efficiency Stokes number
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Optical tensor core architecture for neural network training based on dual-layer waveguide topology and homodyne detection 被引量:2
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作者 Shaofu Xu Weiwen Zou 《Chinese Optics Letters》 SCIE EI CAS CSCD 2021年第8期84-89,共6页
We propose an optical tensor core(OTC) architecture for neural network training. The key computational components of the OTC are the arrayed optical dot-product units(DPUs). The homodyne-detection-based DPUs can condu... We propose an optical tensor core(OTC) architecture for neural network training. The key computational components of the OTC are the arrayed optical dot-product units(DPUs). The homodyne-detection-based DPUs can conduct the essential computational work of neural network training, i.e., matrix-matrix multiplication. Dual-layer waveguide topology is adopted to feed data into these DPUs with ultra-low insertion loss and cross talk. Therefore, the OTC architecture allows a large-scale dot-product array and can be integrated into a photonic chip. The feasibility of the OTC and its effectiveness on neural network training are verified with numerical simulations. 展开更多
关键词 optical tensor core neural network training matrix multiplication homodyne detection dual-layer waveguides
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Experimental Study on a Multi-Evaporator Loop Heat Pipe with a Dual-Layer Structure Condenser 被引量:1
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作者 LU Depu XIE Rongjian WEN Jiajia 《Journal of Thermal Science》 SCIE EI CAS CSCD 2023年第4期1466-1476,共11页
A loop heat pipe(LHP)is a kind of passive heat transfer device that uses the latent heat of the working fluid and the capillary forces of the capillary wicks.It demonstrates high heat transfer efficiency,long-distance... A loop heat pipe(LHP)is a kind of passive heat transfer device that uses the latent heat of the working fluid and the capillary forces of the capillary wicks.It demonstrates high heat transfer efficiency,long-distance heat transfer,and high pipeline flexibility.The multi-evaporator loop heat pipe(MeLHP)is a special loop heat pipe with multiple evaporators so that heat collection and emission from multiple heat sources can be achieved.In this paper,a new type of the multi-evaporator loop heat pipe prototype with a dual-layer condenser was designed,which can ensure the uniform and symmetrical layout of pipelines.The working temperature was 20℃,and propylene was used as the working fluid.The performance of the same evaporator in a single-loop LHP was considered as a reference.The experiment was conducted under two heating modes,i.e.single-evaporator heating and multi-evaporator heating,and the working stability of the prototype was verified by applying periodic heating power change and adverse elevation condition.It was observed that the prototype can be successfully started in different heating modes with a heat transfer limit of 230 W.In the test,the four loops were different in heat transfer limit due to the differences of flow resistance,and less power distribution to the loop with lowest heat transfer limit was considered to be beneficial to the prototype’s performance.Meanwhile,the prototype showed good heat sharing characteristic as the maximum temperature difference is low(smaller than 2 K in single-evaporator heating mode and 0.5 K in multi-evaporator heating mode).The prototype was of good operational reliability and found to be adaptable to the adverse elevation and cyclic variation of the heating power to a certain extent. 展开更多
关键词 multi-evaporator loop heat pipe dual-layer condenser heat sharing characteristic PROPYLENE variable heating power adverse elevation
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Compound jet generated from an impacted concave dual-layer liquid surface
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作者 Xiang-gang Cheng Xiao-peng Chen 《Journal of Hydrodynamics》 SCIE EI CSCD 2021年第2期390-394,共5页
By impacting a concave dual-layer liquid(with the oil and the dyed water)surface in a test tube,a compound jet with a water core and an oil shell is generated.The velocities of the jet's head(Vj)and the oil-water ... By impacting a concave dual-layer liquid(with the oil and the dyed water)surface in a test tube,a compound jet with a water core and an oil shell is generated.The velocities of the jet's head(Vj)and the oil-water interface(Vj')are experimentally determined against the initial thickness and the viscosity of the upper layer liquid.The results show that the oil-water interface can be roughly regarded as a pure material surface,whose velocity can be determined from the jet velocity and the initial location(or the film thickness).Furthermore,the effective density,viscosity and surface tension of the compound jet are used to evaluate the jetting velocity.The previous scaling relation for a single liquid jet can be used to give a good prediction with the effective quantities.The results of this paper can be used for the compound jet/droplet preparation. 展开更多
关键词 COMPOUND JET dual-layer liquid viscosity interface tension
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Laboratory study on high-temperature adsorption of HCI by dry-injection of Ca(OH)2 in a dual-layer granular bed filter
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作者 Junjun TAN Guohua YANG +1 位作者 Jingqiao MAO Huichao DAI 《Frontiers of Environmental Science & Engineering》 SCIE EI CAS CSCD 2014年第6期863-870,共8页
Combustion-generated hydrogen chloride (HCl) is considered to be a very hazardous acid gaseous pollutant. This paper presents a laboratory study on the dry adsorption of HCl. The experiments were conducted in a dual... Combustion-generated hydrogen chloride (HCl) is considered to be a very hazardous acid gaseous pollutant. This paper presents a laboratory study on the dry adsorption of HCl. The experiments were conducted in a dual-layer granular bed filter, at gas temperatures of 500℃-700℃ and n(Ca)/n(Cl)molar ratios of 1.0-5.0 using the silver nitrate titration method by dry adsorbent powders Ca(OH)2. Mainly, the adsorption efficiency of HCI and utilization efficiency of Calcium were studied, by varying relevant factors including n(Ca)/n(Cl), tempera- ture, feeding method, water vapor and CO2. With a relatively higher HCl concentration of 1000ppm, the experimental results revealed that 600℃ may be the optimum temperature for HCl adsorption when optimum n (Ca)/n(Cl) was 2.5 in our tests. The results also demonstrated that the feeding at a constant pressure was more effective, and the HCl adsorption efficiency could rapidly reach over 90% with n(Ca)/n(Cl) = 2.5 at 600℃. Furthermore, the HCl adsorption efficiency was found to be slightly promoted by water vapor, while could be impeded by CO2, and the utilization efficiency of calcium could be up to 74.4% without CO2, while was only 36.8% with CO2 when n(Ca)/n(Cl) was 2.5 at 600℃. 展开更多
关键词 acid gas HCl Ca(OH)2 dry adsorption high temperature dual-layer granular bed filter
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Surface-enhanced Raman scattering on dual-layer metallic gratingstructures 被引量:3
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作者 GUAN ZhiQiang HAKANSON Ulf +4 位作者 ANTTU Nicklas WEI Hong XU HongQi MONTELIUS Lars XU HongXing 《Chinese Science Bulletin》 SCIE EI CAS 2010年第24期2643-2648,共6页
Dual-layer Metallic grating(DMG)structures as surface-enhanced Raman scattering(SERS)substrates are studied using benzenethiol as the probe analyte.The DMG structure consists of a SiO2 grating and 100-nm-thick gold co... Dual-layer Metallic grating(DMG)structures as surface-enhanced Raman scattering(SERS)substrates are studied using benzenethiol as the probe analyte.The DMG structure consists of a SiO2 grating and 100-nm-thick gold coating layers.An enhancement factor of 105 is achieved by optimizing the SiO 2 grating height within the range from 165 to 550 nm.The enhancement factor dependence on the SiO2 grating height is due to the surface plasmon excitation,which is dependent on the polarization of the incident light,and confirmed by finite difference time domain simulations.This study demonstrates the advantages of high uniformity,reproducibility and sensitivity in the DMG structures for SERS applications. 展开更多
关键词 表面增强拉曼散射 光栅结构 双层金属 表面增强拉曼光谱 二氧化硅 表面等离子体 有限差分模拟 增强因子
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基于图像化特征提取和双层特征优选的变压器故障诊断 被引量:1
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作者 王凌云 李冉 +2 位作者 杨波 李婷宜 李振华 《信息与控制》 北大核心 2025年第3期442-452,共11页
针对变压器故障特征选取尚无统一标准且冗余特征降低其故障诊断性能的问题,提出了一种图像化特征提取与双层特征优选的变压器故障诊断方法。首先,以油中溶解气体为研究对象,采用格拉姆角场(Gramian angular field,GAF)方法实现气体浓度... 针对变压器故障特征选取尚无统一标准且冗余特征降低其故障诊断性能的问题,提出了一种图像化特征提取与双层特征优选的变压器故障诊断方法。首先,以油中溶解气体为研究对象,采用格拉姆角场(Gramian angular field,GAF)方法实现气体浓度的图像化,并使用图像处理方法平衡样本数据。其次,利用VGG16(visual geometry group 16)算法进行GAF图像特征参数的迁移,建立能自动提取特征的故障诊断模型。最后,综合考虑重要性评分与相关系数,改进随机森林特征选择算法,从非重要性特征中筛选潜在重要特征,构建双层特征优选模型,以进一步提升变压器故障诊断性能。为验证本文所提特征工程的有效性,分别使用线性回归、支持向量机、多层感知机以及随机梯度下降四种分类器对变压器故障加以诊断。实验结果表明,相较传统方法构建特征,利用图像化能够有效提取故障特征,特征经双层优选后,变压器故障模型诊断准确率分别提高4.27%、12.2%、6.1%、10.97%,F1分数分别提高4.53%、12.55%、6.08%、11.1%,所建模型对变压器运行状态实现了更为精准地辨识。 展开更多
关键词 变压器 故障诊断 格拉姆角场(GAF) VGG16网络 双层特征优选
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计及需求响应的海岛微电网双层优化运行 被引量:1
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作者 匡洪海 徐雨淏 +1 位作者 李子龙 杨慧娴 《电气技术》 2025年第3期15-21,29,共8页
为综合考虑微电网调度过程中供给侧和需求侧的利益,本文建立计及需求响应的海岛微电网双层优化调度模型。该模型上层以微电网的净收益为目标优化各单元出力,下层以居民的综合舒适度为目标优化负荷曲线。采用一种改进的蜣螂优化算法对双... 为综合考虑微电网调度过程中供给侧和需求侧的利益,本文建立计及需求响应的海岛微电网双层优化调度模型。该模型上层以微电网的净收益为目标优化各单元出力,下层以居民的综合舒适度为目标优化负荷曲线。采用一种改进的蜣螂优化算法对双层优化模型进行求解。通过Sinusoidal映射初始化种群,并利用准对立学习优化,增加了种群的多样性;在更新阶段引入哈里斯鹰的围攻策略和自适应t分布扰动,增强寻优能力,提高了解的质量;通过测试函数与其他算法进行对比,验证了改进蜣螂优化算法的优越性。算例分析结果表明,利用所提改进蜣螂优化算法求解双层优化模型,可在提高系统经济效益的同时,提升用户的用电舒适度和用能舒适度;与原始蜣螂优化算法进行对比,验证了所提改进算法的有效性。 展开更多
关键词 微电网 需求响应 双层优化 蜣螂优化算法
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基于双层运动模型的楼梯行人群体仿真
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作者 陈群 喻亚文 《物理学报》 北大核心 2025年第14期39-52,共14页
现有模型因忽略三维几何约束与动态交互效应,难以准确模拟复杂楼梯场景下的群体行为.本文提出一种双层运动模型,通过分层建模方法融合三维元胞离散化空间、双足步态动力学及接触力扰动分析.模型将行人抽象为“双足一点”多节点系统,构... 现有模型因忽略三维几何约束与动态交互效应,难以准确模拟复杂楼梯场景下的群体行为.本文提出一种双层运动模型,通过分层建模方法融合三维元胞离散化空间、双足步态动力学及接触力扰动分析.模型将行人抽象为“双足一点”多节点系统,构建上层质心运动空间与下层双足支撑平面.模型下层基于元胞路径规划约束跨步运动,并设计准同步状态切换机制保障群体时空一致性;上层采用几何检测算法识别行人物理接触,结合碰撞动力学模型,量化接触冲突对行人稳定性的影响.仿真实验表明,模型能够有效模拟行人上下楼运动轨迹、动态平衡维持机制及失稳事件演化过程.研究采用稳定裕度评估行人间接触力的扰动效应,揭示了密度对失稳风险的正向影响,为楼梯场景下的安全评估与疏散优化提供了高效仿真工具. 展开更多
关键词 楼梯行人运动 双层运动模型 群体仿真 接触力学
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基于双层检索增强生成技术的红色资源数字叙事实现初探
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作者 杨峰 赵悦言 +1 位作者 周文杰 赵泽瑞 《情报理论与实践》 北大核心 2025年第8期196-205,共10页
[目的/意义]针对红色资源数字叙事理论与实践存在脱节、交互体验互动薄弱、数字技术融合不足等问题,文章提出结合双层检索增强生成技术的红色资源数字叙事的创新实现方式,为“讲好红色故事,传承红色基因”提供研究方案和技术路线。[方法... [目的/意义]针对红色资源数字叙事理论与实践存在脱节、交互体验互动薄弱、数字技术融合不足等问题,文章提出结合双层检索增强生成技术的红色资源数字叙事的创新实现方式,为“讲好红色故事,传承红色基因”提供研究方案和技术路线。[方法/过程]首先,使用大语言模型构建基于图结构的文本索引,将红色资源转化为结构化图数据;其次,将用户需求与图数据相互映射,对基于图结构的红色资源知识库,进行低层次细粒度和高层次宏观的双层次检索,增强大语言模型在历史资源叙事中的应用效果;最后,通过将双层检索增强生成技术与传统检索增强生成技术和Graph检索增强生成技术对比,验证该实现方案在红色资源数字叙事中的应用效果。[结果/结论]结合了大语言模型与双层检索增强生成技术,优化数字叙事内容,以生成式逻辑革新数字叙事编排思维,提供交互的在线叙事,展示并检验了以生成式人工智能为代表的技术方法在红色资源数字叙事的使用价值和应用前景。 展开更多
关键词 数字叙事 红色资源 双层检索增强生成 图结构 大语言模型
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基于改进NSGA Ⅲ-PSO的含风光柴储配电网优化调度方法研究
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作者 范展滔 刘敬诚 《电测与仪表》 北大核心 2025年第11期167-175,209,共10页
微电网的不断接入使配电网结构日趋复杂、设备种类不断增多且运行方式趋于多样,为其运行调度的安全性和经济性带来了新的挑战。针对现有含微网配电网智能调度方法存在的模型维度高、求解困难、计算精度低等问题,文中提出了一种考虑风光... 微电网的不断接入使配电网结构日趋复杂、设备种类不断增多且运行方式趋于多样,为其运行调度的安全性和经济性带来了新的挑战。针对现有含微网配电网智能调度方法存在的模型维度高、求解困难、计算精度低等问题,文中提出了一种考虑风光柴储的配电网安全和经济调度双层模型。其中上层在考虑潮流和微电网交互等约束的条件下构建了总运行成本最低、网损和电压稳定性指数最小的多目标调度模型,通过改进的第三代非支配排序遗传算法对模型进行求解。下层则在储能和分布式电源等运行约束下构建了以微电网自身运行成本最低为目标的调度模型,通过改进粒子群算法对模型进行求解。结果表明,所提方法可以有效地兼顾经济性和安全性,通过两层模型的深入协调配合,实现多主体利益共赢。相比于常规方法,总成本降低大于3.00%,电压稳定性指数降低大于1.50%,总求解时间降低大于2.50%,具有一定的实用价值。 展开更多
关键词 配电网 微电网 双层模型 风光柴储 第三代非支配排序遗传算法 粒子群算法
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双层虚拟储能管理系统在楼宇微网中的研究
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作者 王智 宋子杰 +1 位作者 李鹏 刘慧军 《节能》 2025年第9期1-7,共7页
针对当前楼宇微网中清洁能源与用户能源需求波动不匹配的问题,提出一种基于需求侧双层虚拟储能管理框架的楼宇微网优化新方法。在日前调度阶段,构建上层结构,依据热平衡方程及人体舒适度的温度区间,建立楼宇虚拟储能模型;在日内调度阶段... 针对当前楼宇微网中清洁能源与用户能源需求波动不匹配的问题,提出一种基于需求侧双层虚拟储能管理框架的楼宇微网优化新方法。在日前调度阶段,构建上层结构,依据热平衡方程及人体舒适度的温度区间,建立楼宇虚拟储能模型;在日内调度阶段,构建下层结构,并纳入电车储能模型。通过集成双层虚拟储能管理系统,以系统日综合运行成本最小为目标,对楼宇微网进行不同运行模式的分析。结果表明,该方法能够提升系统能源利用效率,实现清洁能源与用户需求的高效匹配。 展开更多
关键词 智慧楼宇微网 双层虚拟储能管理系统 响应速度
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