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Multifunctional MXene/Carbon Nanotube Janus Film for Electromagnetic Shielding and Infrared Shielding/Detection in Harsh Environments
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作者 Tufail Hassan Aamir Iqbal +14 位作者 Byungkwon Yoo Jun Young Jo Nilufer Cakmakci Shabbir Madad Naqvi Hyerim Kim Sungmin Jung Noushad Hussain Ujala Zafar Soo Yeong Cho Seunghwan Jeong Jaewoo Kim Jung Min Oh Sangwoon Park Youngjin Jeong Chong Min Koo 《Nano-Micro Letters》 SCIE EI CAS CSCD 2024年第10期543-560,共18页
Multifunctional,flexible,and robust thin films capable of operating in demanding harsh temperature environments are crucial for various cutting-edge applications.This study presents a multifunctional Janus film integr... Multifunctional,flexible,and robust thin films capable of operating in demanding harsh temperature environments are crucial for various cutting-edge applications.This study presents a multifunctional Janus film integrating highly-crystalline Ti_(3)C_(2)T_(x) MXene and mechanically-robust carbon nanotube(CNT)film through strong hydrogen bonding.The hybrid film not only exhibits high electrical conductivity(4250 S cm^(-1)),but also demonstrates robust mechanical strength and durability in both extremely low and high temperature environments,showing exceptional resistance to thermal shock.This hybrid Janus film of 15μm thickness reveals remarkable multifunctionality,including efficient electromagnetic shielding effectiveness of 72 dB in X band frequency range,excellent infrared(IR)shielding capability with an average emissivity of 0.09(a minimal value of 0.02),superior thermal camouflage performance over a wide temperature range(−1 to 300℃)achieving a notable reduction in the radiated temperature by 243℃ against a background temperature of 300℃,and outstanding IR detection capability characterized by a 44%increase in resistance when exposed to 250 W IR radiation.This multifunctional MXene/CNT Janus film offers a feasible solution for electromagnetic shielding and IR shielding/detection under challenging conditions. 展开更多
关键词 MXene/carbon nanotube Janus film Electromagnetic interference shielding infrared shielding Thermal camouflage infrared detection
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Intense Mid-Infrared Laser Pulse Generated via Flying-Mirror Red-Shifting in Near-Critical-Density Plasmas
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作者 鲁瑜 李东澳 +2 位作者 李倩妮 邵福球 余同普 《Chinese Physics Letters》 SCIE EI CAS CSCD 2024年第2期42-46,共5页
Relativistic femtosecond mid-infrared pulses can be generated efficiently by laser interaction with near-criticaldensity plasmas.It is found theoretically and numerically that the radiation pressure of a circularly po... Relativistic femtosecond mid-infrared pulses can be generated efficiently by laser interaction with near-criticaldensity plasmas.It is found theoretically and numerically that the radiation pressure of a circularly polarized laser pulse first compresses the plasma electrons to form a dense flying mirror with a relativistic high speed.The pulse reflected by the mirror is red-shifted to the mid-infrared range.Full three-dimensional simulations demonstrate that the central wavelength of the mid-infrared pulse is tunable from 3µm to 14µm,and the laser energy conversion efficiency can reach as high as 13%.With a 0.5–10 PW incident laser pulse,the generated mid-infrared pulse reaches a peak power of 10–180 TW,which is interesting for various applications in ultrafast and high-field sciences. 展开更多
关键词 MirROR infrared Pulse
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Application of near-infrared spectroscopy for fast germplasm analysis and classification in multi-environment using intact-seed peanut(Arachis hypogaea L.)
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作者 Fentanesh Chekole Kassie Gilles Chaix +10 位作者 Hermine Bille Ngalle Maguette Seye Coura Fall Hodo-Abalo Tossim Aissatou Sambou Olivier Gibert Fabrice Davrieux Joseph Martin Bell Jean-Francois Rami Daniel Fonceka Joel Romaric Nguepjop 《Oil Crop Science》 CSCD 2024年第2期132-141,共10页
Peanut is a worldwide oilseed crop and the need to assess germplasm in a non-destructive manner is important for seed nutritional breeding.In this study,Near Infrared Spectroscopy(NIRS)was applied to rapidly assess ge... Peanut is a worldwide oilseed crop and the need to assess germplasm in a non-destructive manner is important for seed nutritional breeding.In this study,Near Infrared Spectroscopy(NIRS)was applied to rapidly assess germplasm variability from whole seed of 699 samples,field-collected and assembled in four genetic and environmentbased sets:one set of 300 varieties of a core-collection and three sets of 133 genotypes of an interspecific population,evaluated in three environments in a large spatial scale of two countries,Mbalmayo and Bafia in Cameroon and Nioro in Senegal,under rainfed conditions.NIR elemental spectra were gathered on six subsets of seeds of each sample,after three rotation scans,with a spectral resolution of 16 cm-1over the spectral range of867 nm to 2530 nm.Spectra were then processed by principal component analysis(PCA)coupled with Partial least squares-discriminant analysis(PLS-DA).As results,a huge variability was found between varieties and genotypes for all NIR wavelength within and between environments.The magnitude of genetic variation was particularly observed at 11 relevant wavelengths such as 1723 nm,usually related to oil content and fatty acid composition.PCA yielded the most chemical attributes in three significant PCs(i.e.,eigenvalues>10),which together captured 93%of the total variation,revealing genetic and environment structure of varieties and genotypes into four clusters,corresponding to the four samples sets.The pattern of genetic variability of the interspecific population covers,remarkably half of spectrum of the core-collection,turning out to be the largest.Interestingly,a PLS-DA model was developed and a strong accuracy of 99.6%was achieved for the four sets,aiming to classify each seed sample according to environment origin.The confusion matrix achieved for the two sets of Bafia and Nioro showed 100%of instances classified correctly with 100%at both sensitivity and specificity,confirming that their seed quality was different from each other and all other samples.Overall,NIRS chemometrics is useful to assess and distinguish seeds from different environments and highlights the value of the interspecific population and core-collection,as a source of nutritional diversity,to support the breeding efforts. 展开更多
关键词 GROUNDNUT OILSEED Near infrared spectroscopy Germplasm analysis ENVirONMENT NUTRITIONAL Breeding
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Revealing the regulation of water dipole potential to aggregation of amyloid-β42 at chiral interface by surface-enhanced infrared absorption spectroscopy
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作者 Manyu Zhu Shanshan Li +5 位作者 Qixin Liu Yuqi Zhang Zihao Li Yiran Wang Lie Wu Xiue Jiang 《Aggregate》 EI CAS 2024年第5期454-464,共11页
Surface chirality plays an important role in determining the biological effect,but the molecular nature beyond stereoselectivity is still unknown.Herein,through surface-enhanced infrared absorption spectroscopy,electr... Surface chirality plays an important role in determining the biological effect,but the molecular nature beyond stereoselectivity is still unknown.Herein,through surface-enhanced infrared absorption spectroscopy,electrochemistry,and theoretical simulations,we found diasteromeric monolayers induced by assembled density on chiral gold nanofilm and identified the positive contribution of water dipole poten-tial at chiral interface and their different interfacial interactions,which result in a difference both in the positive dipoles of interfacial water compensating the negative surface potential of the SAM and in the hindrance effect of interface dehydration,thereby regulating the interaction between amyloid-βpeptide(Aβ)and N-isobutyryl-cysteine(NIBC).Water on L-NIBC interface which shows stronger positive dipole potential weakens the negative surface potential,but its local weak binding to the isopropyl group facilitates hydrophobic interaction between Aβ42 and L-NIBC and resultedfiber aggregate.Conversely,electrostatic interaction between Aβ42 and D-NIBC induces spherical oligomer.Thesefindings provide new insight into molecular nature of chirality-regulated biological effect. 展开更多
关键词 amyloid-β42 chiral interface surface-enhanced infrared absorption spectroscopy
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IR-YOLO: Real-Time Infrared Vehicle and Pedestrian Detection
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作者 Xiao Luo Hao Zhu Zhenli Zhang 《Computers, Materials & Continua》 SCIE EI 2024年第2期2667-2687,共21页
Road traffic safety can decrease when drivers drive in a low-visibility environment.The application of visual perception technology to detect vehicles and pedestrians in infrared images proves to be an effective means... Road traffic safety can decrease when drivers drive in a low-visibility environment.The application of visual perception technology to detect vehicles and pedestrians in infrared images proves to be an effective means of reducing the risk of accidents.To tackle the challenges posed by the low recognition accuracy and the substan-tial computational burden associated with current infrared pedestrian-vehicle detection methods,an infrared pedestrian-vehicle detection method A proposal is presented,based on an enhanced version of You Only Look Once version 5(YOLOv5).First,A head specifically designed for detecting small targets has been integrated into the model to make full use of shallow feature information to enhance the accuracy in detecting small targets.Second,the Focal Generalized Intersection over Union(GIoU)is employed as an alternative to the original loss function to address issues related to target overlap and category imbalance.Third,the distribution shift convolution optimization feature extraction operator is used to alleviate the computational burden of the model without significantly compromising detection accuracy.The test results of the improved algorithm show that its average accuracy(mAP)reaches 90.1%.Specifically,the Giga Floating Point Operations Per second(GFLOPs)of the improved algorithm is only 9.1.In contrast,the improved algorithms outperformed the other algorithms on similar GFLOPs,such as YOLOv6n(11.9),YOLOv8n(8.7),YOLOv7t(13.2)and YOLOv5s(16.0).The mAPs that are 4.4%,3%,3.5%,and 1.7%greater than those of these algorithms show that the improved algorithm achieves higher accuracy in target detection tasks under similar computational resource overhead.On the other hand,compared with other algorithms such as YOLOv8l(91.1%),YOLOv6l(89.5%),YOLOv7(90.8%),and YOLOv3(90.1%),the improved algorithm needs only 5.5%,2.3%,8.6%,and 2.3%,respectively,of the GFLOPs.The improved algorithm has shown significant advancements in balancing accuracy and computational efficiency,making it promising for practical use in resource-limited scenarios. 展开更多
关键词 Traffic safety infrared image pedestrians and vehicles focal GIoU distributed shift convolution
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Near Infrared Spectroscopy (NIRS) Model-Based Prediction for Protein Content in Cowpea
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作者 Kavera Biradar Waltram Ravelombola +1 位作者 Aurora Manley Caroline Ruhl 《American Journal of Plant Sciences》 CAS 2024年第3期145-160,共16页
Cowpea (Vigna unguiculata L. Walp) is a multi-purpose legume with high quality protein for human consumption and livestock. The objective of this work was to develop near-infrared spectroscopy (NIRS) prediction models... Cowpea (Vigna unguiculata L. Walp) is a multi-purpose legume with high quality protein for human consumption and livestock. The objective of this work was to develop near-infrared spectroscopy (NIRS) prediction models to estimate protein content in cowpea. A total of 116 cowpea breeding lines with a wide range of protein contents (19.28 % to 32.04%) were selected to build the model using whole seed and ground seed samples. Partial least-squares discriminant analysis (PLS-DA) regression technique with different pre-treatments (derivatives, standard normal variate, and multiplicative scatter correction) were carried out to develop the protein prediction model. Results showed: 1) spectral plots of both the whole seed and ground seed showed higher spectral scatter at higher wavelengths (>1450 nm), 2) data pre-processing affects prediction accuracy for bot whole seed and ground seed samples, 3) prediction using ground seed samples (0.64 R<sup>2</sup> 0.85) is better than the whole seed (0.33 R<sup>2</sup> 0.78), and 4) the data pre-processing second derivative with standard normal variate has the best prediction (R<sup>2</sup>_whole seed = 0.78, R<sup>2</sup>_ground seed = 0.85). The results will be of interest in cowpea breeding programs aimed at improving total seed protein content. 展开更多
关键词 COWPEA GERMPLASM PROTEIN Near-infrared Spectroscopy (NirS) Partial Least Squares (PLS)
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基于IRS-1/PI3K信号轴探究补肺健脾方对COPD大鼠骨骼肌线粒体损伤的影响 被引量:2
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作者 沈婷婷 李素云 +4 位作者 李亚 轩银霜 李景梅 李高峰 韩冰洋 《中国比较医学杂志》 CAS 北大核心 2024年第3期57-67,共11页
目的探究补肺健脾方(Bufei Jianpi formula,BJF)通过调控IRS-1/PI3K信号轴对COPD大鼠骨骼肌线粒体损伤的影响。方法将60只SPF级SD大鼠随机分为空白(Control)组、COPD稳定期模型(Model)组、氨茶碱(Am)组、补肺健脾方(BJF)组、吡格列酮(P... 目的探究补肺健脾方(Bufei Jianpi formula,BJF)通过调控IRS-1/PI3K信号轴对COPD大鼠骨骼肌线粒体损伤的影响。方法将60只SPF级SD大鼠随机分为空白(Control)组、COPD稳定期模型(Model)组、氨茶碱(Am)组、补肺健脾方(BJF)组、吡格列酮(PIO)组以及补肺健脾方+吡格列酮(BJF+PIO)组,10只/组。采用烟熏加鼻腔滴菌(肺炎克雷伯杆菌)的方法建立COPD稳定期大鼠模型,自第9周开始给药至20周结束后取材,每周给予大鼠体重测量。分别对肺组织和骨骼肌组织进行常规切片与HE染色,并于光镜下观察其相应的病理学改变。分别于第0、8、20周采用非束缚全身体积描记系统观察大鼠肺功能,包括VT、PEF、EF50。采用qPCR技术检测大鼠骨骼肌组织中IRS-1、PI3K、PGC-1α以及Leptin mRNA的表达。采用Western blot技术检测大鼠骨骼肌组织中IRS-1、PI3K、AKT、p-AKT、PGC-1α、TFAM和Leptin蛋白的表达。结果光镜观察显示与Control组比,Model组肺病理可见肺泡间质以及肺支气管存有大量的炎性细胞浸润,部分肺泡壁出现断裂并融合形成气腔、纤维网被破坏等;与Model组比,用药治疗后各组肺泡壁的断裂以及纤维网的破坏均得到改善,支气管中炎性细胞浸润减轻,其中以BJF组与Am组尤为明显。用药治疗后各组骨骼肌病理与Model组比,可不同程度改善肌纤维之间排列间隙、萎缩与断裂,肌细胞胞质染色不均一等,其中以BJF组疗效较为显著。与Control组比,Model组PEF、VT和EF50第8周起显著降低(P<0.01),BJF组、BJF+PIO组和Am组可以显著提高PEF、EF50(P<0.01)。与Control组比,Model组中IRS-1、PGC-1α和PI3K mRNA与蛋白表达水平显著降低(P<0.05,P<0.01),Leptin mRNA与蛋白表达水平显著增高(P<0.01);与Model组比,BJF组IRS-1、PGC-1α、PI3K mRNA与蛋白表达水平显著增高(P<0.05,P<0.01);PIO组IRS-1 mRNA表达水平显著增高(P<0.01);BJF+PIO组PGC-1αmRNA水平显著增高(P<0.01),IRS-1、PI3K mRNA与蛋白水平显著升高(P<0.05,P<0.01);Am组中PI3K mRNA与蛋白表达水平显著增高(P<0.01);4个用药组中Leptin mRNA的表达水平均显著降低(P<0.01),除Am组外,其余3个用药组Leptin蛋白表达显著降低(P<0.01);与Control组比,Model组股四头肌组织中TFAM、p-AKT蛋白表达有明显的下降趋势,各治疗组的TFAM、p-AKT蛋白表达均有升高趋势,但无显著性差异(P>0.05)。结论补肺健脾方可通过调控IRS-1/PI3K信号轴,改善骨骼肌线粒体的损伤,同时提高PGC-1α与线粒体转录因子TFAM的表达,增强线粒体的生物合成,从而减轻肺与骨骼肌组织的病理性损伤。 展开更多
关键词 COPD 骨骼肌功能障碍 irS-1/PI3K信号通路 补肺健脾方
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Fe、Ir掺杂MoS_(2)表面对N_(2)气敏吸附与解离反应性能提升的第一性原理研究
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作者 肖香珍 胡林峰 张建伟 《原子与分子物理学报》 CAS 北大核心 2025年第1期13-19,共7页
基于第一性原理方法,采用周期性平板模型,研究了N_(2)分子在掺杂体系TM-MoS_(2)(TM=Fe、Ir)表面的吸附和解离行为.研究表明:N_(2)分子在TM-MoS_(2)(TM=Fe、Ir)表面吸附能依次为0.62和0.47 eV,而完整MoS_(2)表面的吸附能只有0.08 eV,说... 基于第一性原理方法,采用周期性平板模型,研究了N_(2)分子在掺杂体系TM-MoS_(2)(TM=Fe、Ir)表面的吸附和解离行为.研究表明:N_(2)分子在TM-MoS_(2)(TM=Fe、Ir)表面吸附能依次为0.62和0.47 eV,而完整MoS_(2)表面的吸附能只有0.08 eV,说明掺杂之后对N_(2)表现出略好的吸附性能.差分电荷密度分析表明,N_(2)吸附后,掺杂Fe、Ir原子与两个N原子之间电荷有所增加,N-N键之间的区域电荷密度减少,N-N键的强度减弱.态密度计算结果发现,N_(2)在吸附过程中,主要是N原子的2p_(y)、2p_(z)轨道与Ir的5d_(xy)和5d_(z^(2))以及Fe的3d_(xy)和3d_(z^(2))发生杂化作用.通过分析解离活化能,N_(2)在掺杂体系TM-MoS_(2)(TM=Fe、Ir)表面解离需要活化能均较高,且远大于在相应掺杂表面的吸附能,说明N_(2)在掺杂体系TM-MoS_(2)(TM=Fe、Ir)表面解离应该表现为分子吸附或脱附. 展开更多
关键词 Fe、ir 掺杂 单层MoS_(2) N_(2) 吸附与解离 活化能 密度泛函理论
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硬件损伤条件下无人机辅助的NOMA-IRS网络资源分配算法
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作者 樊自甫 夏子航 +1 位作者 王正强 万晓榆 《重庆理工大学学报(自然科学)》 CAS 北大核心 2024年第3期275-285,共11页
探讨了在硬件损伤条件下,如何通过搭载在无人机上的智能反射面(IRS)有效支持基于非正交多址接入(NOMA)技术的网络,以加快多用户数据的传输速率。提出了一种全面优化策略实现整个通信系统的最大传输速率,包括联合调整串行干扰消除的解码... 探讨了在硬件损伤条件下,如何通过搭载在无人机上的智能反射面(IRS)有效支持基于非正交多址接入(NOMA)技术的网络,以加快多用户数据的传输速率。提出了一种全面优化策略实现整个通信系统的最大传输速率,包括联合调整串行干扰消除的解码策略、IRS的反射配置、无人机的空间位置以及基站的发射功率。由于该问题是一个非凸问题,提出使用块坐标下降方法来实现优化的一种迭代算法,将原始的非凸问题细分为3个子问题,并通过结合惩罚函数法、半正定松弛技术和连续凸近似法来解决这些子问题。仿真结果表明:提出的算法在系统总速率方面相比随机部署无人机、未使用IRS辅助的NOMA策略,系统速率有显著提升。 展开更多
关键词 非正交多址接入 智能反射面 凸优化 和速率最大化 无人机
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基于平行因子分解的IRS辅助毫米波信道估计
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作者 杨青青 李学文 +1 位作者 彭艺 王健明 《中山大学学报(自然科学版)(中英文)》 CAS CSCD 北大核心 2024年第4期124-131,共8页
提出了一种基于平行因子分解的信道估计算法。首先,根据毫米波信道固有的稀疏特性对信道进行建模,利用块衰落信道的特点将信号矩阵构建成一个3维张量,并且利用平行因子分解算法对张量进行分解。然后利用压缩感知理论将分解后的矩阵转化... 提出了一种基于平行因子分解的信道估计算法。首先,根据毫米波信道固有的稀疏特性对信道进行建模,利用块衰落信道的特点将信号矩阵构建成一个3维张量,并且利用平行因子分解算法对张量进行分解。然后利用压缩感知理论将分解后的矩阵转化为稀疏信号的恢复问题。最后,利用改进的双线性交替最小二乘算法对信道进行求解。仿真结果表明,与现有的BALS算法、wBALS算法和LSKRF算法相比,本文算法估计精度较高。 展开更多
关键词 可重构智能表面 毫米波通信 信道估计 张量 平行因子分解
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IRS辅助的车联网相移设计和信道对齐策略
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作者 王汝言 王康 +2 位作者 崔亚平 何鹏 吴大鹏 《系统工程与电子技术》 EI CSCD 北大核心 2024年第2期761-769,共9页
针对车联网中车辆的动态移动以及信号的随机散射所导致的信道快速变化问题,研究了智能反射面(intelligent reflecting surface,IRS)辅助的车联网通信并提出了联合相移设计和信道对齐策略,以削减车联网中多普勒频移的影响并提升通信性能... 针对车联网中车辆的动态移动以及信号的随机散射所导致的信道快速变化问题,研究了智能反射面(intelligent reflecting surface,IRS)辅助的车联网通信并提出了联合相移设计和信道对齐策略,以削减车联网中多普勒频移的影响并提升通信性能。提出的策略由两个阶段构成。在第一阶段设计IRS的相移以改善级联信道的衰落状态,在策略的第二阶段进行修正函数的设计,实现了直接信道和级联信道的信道对齐,从而减少直接信道快衰落状态对通信性能的影响。通过联合相移设计和信道对齐策略中设计的反射相移以及修正函数,实现了通信性能的提升。仿真结果表明,所提策略相比于相移优化策略可以提升8.8%的频谱效率。 展开更多
关键词 车联网 智能反射面 衰落信道 相移设计
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IRS辅助的异构SWIPT-NOMA系统资源分配方案
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作者 季薇 刘子卿 《通信学报》 EI CSCD 北大核心 2024年第4期39-53,共15页
考虑到未来大型物联网中待服务用户的异构性(接收机产自不同制造商,且具有不同结构、不同功能)和服务需求的多样性,针对功率分割(PS)用户和时间切换(TS)用户共存的异构场景,提出一种IRS辅助的无线携能通信(SWIPT)非正交多址接入(NOMA)... 考虑到未来大型物联网中待服务用户的异构性(接收机产自不同制造商,且具有不同结构、不同功能)和服务需求的多样性,针对功率分割(PS)用户和时间切换(TS)用户共存的异构场景,提出一种IRS辅助的无线携能通信(SWIPT)非正交多址接入(NOMA)通信系统模型。在满足两类用户服务质量的条件下,通过联合优化基站的有源波束成形、IRS的无源相移矩阵、PS用户的功率分割系数、TS用户时间切换系数以及两类用户的串行干扰消除解码顺序来最小化基站的发射功率。为解决该非凸问题,采用基于连续凸逼近的交替迭代方法将问题拆分成多个子问题。针对IRS相移的无源波束成形优化子问题,采用连续秩一约束松弛方法求解。仿真结果表明,IRS辅助的通信系统基站发射功率明显低于无IRS方案;IRS辅助的NOMA通信系统基站发射功率低于IRS辅助的正交多址接入通信系统;IRS辅助的PS-SWIPT系统基站发射功率低于IRS辅助的TS-SWIPT系统。 展开更多
关键词 智能发射面 无线携能通信 非正交多址接入 资源分配
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城市街道下场景IRS辅助D2D通信系统波束成形设计
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作者 张祖凡 刘建 张晨璐 《电子与信息学报》 EI CAS CSCD 北大核心 2024年第9期3571-3582,共12页
针对城市街道场景下蜂窝用户和D2D通信用户共享频谱以及城市街道下无线信道特性,该文提出一种IRS辅助的联合波束成形设计方法。在D2D链路信号与干扰加噪声比的约束下,以最大化蜂窝用户容量为目标,设计了最优的波束形成向量、相移矩阵和... 针对城市街道场景下蜂窝用户和D2D通信用户共享频谱以及城市街道下无线信道特性,该文提出一种IRS辅助的联合波束成形设计方法。在D2D链路信号与干扰加噪声比的约束下,以最大化蜂窝用户容量为目标,设计了最优的波束形成向量、相移矩阵和D2D链路发射功率。引入松弛变量将非凸且变量耦合的优化问题转换为解耦后的凸优化问题和二分法搜索功率分配,采用黎曼共轭梯度算法对反射相移矩阵进行优化。仿真结果表明,所提算法收敛性较好,且与基准方案相比能有效地提升用户信道容量。 展开更多
关键词 智能反射面 D2D 波束成形 交替优化
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利用元学习算法的IRS-OTFS通信系统信道估计
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作者 张祖凡 段佳慧 王国仲 《电子与信息学报》 EI CAS CSCD 北大核心 2024年第4期1353-1362,共10页
针对高多普勒场景下智能反射表面(IRS)辅助多用户通信系统存在的信道估计传输开销大的问题,该文结合正交时频空间(OTFS)调制特点构造一种IRS-OTFS通信系统,充分发挥IRS和OTFS的性能优势,并在此基础上提出一种学习率自适应的模型无关元学... 针对高多普勒场景下智能反射表面(IRS)辅助多用户通信系统存在的信道估计传输开销大的问题,该文结合正交时频空间(OTFS)调制特点构造一种IRS-OTFS通信系统,充分发挥IRS和OTFS的性能优势,并在此基础上提出一种学习率自适应的模型无关元学习(MAML)算法。对IRS-OTFS多用户信道估计任务做离线训练,根据各任务的收敛速度自适应地调整学习率,防止训练失衡,并利用信道之间的相关性和MAML算法的少样本、泛化特性得到全局模型和适应性模型,快速学习新用户信道的传输特性,降低传输开销,提高信道估计准确性。理论分析和仿真结果表明,该算法在信道传输条件相同的情况下,将传输开销降低了大约50%,并相对于基准算法有4.8 dB左右的性能提升。 展开更多
关键词 智能反射表面 元学习 正交时频空间 信道估计
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IRS辅助去蜂窝mMIMO系统低复杂度波束赋形算法
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作者 鲜永菊 于东方 +1 位作者 邢智童 梁吉申 《陆军工程大学学报》 2024年第3期9-15,共7页
针对目前智能反射面(intelligent reflecting surface,IRS)辅助去蜂窝大规模多输入多输出(massive multiple-input multiple-output,mMIMO)系统现有算法复杂度高的问题,提出了一种基于IRS辅助去蜂窝mMIMO系统联合波束赋形低复杂度算法... 针对目前智能反射面(intelligent reflecting surface,IRS)辅助去蜂窝大规模多输入多输出(massive multiple-input multiple-output,mMIMO)系统现有算法复杂度高的问题,提出了一种基于IRS辅助去蜂窝mMIMO系统联合波束赋形低复杂度算法。在满足还原用户接收的信号、IRS相移和发射功率约束的条件下,以得到最优发射波束赋形向量为目标,构建了一个联合优化接入点(access point,AP)主动波束赋形和IRS被动波束赋形问题。利用交替优化方法将原问题转换为两个易于处理的子问题,并基于解非齐次线性方程组,采用Lagrange乘数法和人工蜂群算法对子问题进行求解。仿真结果表明,相较于传统算法,所提算法有更低的复杂度和误码率,可使用更小的发射功率和频谱效率等资源获得与其他方案相当的性能。 展开更多
关键词 智能反射面 多输入多输出系统 波束赋形
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锁阳中19种无机元素的NIR快速测定模型的建立与适宜测定元素筛选
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作者 顾志荣 祁梅 +2 位作者 杨浩 郭燕 葛斌 《中国野生植物资源》 CSCD 2024年第2期46-51,共6页
目的:建立锁阳中19种无机元素含量的近红外光谱(NIR)快速测定模型,筛选适宜采用NIR技术进行测定的元素。方法:采集5个省(区)的82批锁阳样品,采用积分球漫反射方式采集样品的NIR原始光谱,采用电感耦合等离子体-质谱(ICP-MS)法测定Na、K... 目的:建立锁阳中19种无机元素含量的近红外光谱(NIR)快速测定模型,筛选适宜采用NIR技术进行测定的元素。方法:采集5个省(区)的82批锁阳样品,采用积分球漫反射方式采集样品的NIR原始光谱,采用电感耦合等离子体-质谱(ICP-MS)法测定Na、K、Ca、Mg、Fe、Zn、Mn、Co、Sr、Ni、Ag、Ba、Ti、Pb、Cr、Cd、As、Hg、Cu等19种无机元素含量的化学参考值,筛选预处理原始光谱的化学计量学方法,筛选最佳波段及因子数,以偏最小二乘法(PLS)建立NIR定量分析模型。结果:K、Ca、Mg、Mn、Co、Sr、Ti、Cr元素的决定系数R^(2)及交叉验证R^(2)均大于0.9,校正均方差(RMSEC)、预测均方差(RMSEP)及留一法交叉验证均方差(RMSECV)在0.52~2.20之间,模型预测值与真实值之间具有较好的相关性,预测性能较好;Ni、Zn元素的决定系数R^(2)及交叉验证R^(2)在0.8~0.9之间,RMSEC、RMSEP及RMSECV在0.49~1.41之间,预测值与真实值之间的相关性一般;Cu元素的决定系数R^(2)及交叉验证R^(2)在0.7~0.8之间,Na、Fe、Ag、Ba、Pb、Cd、As、Hg元素的决定系数R^(2)及交叉验证R^(2)均小于0.7,此9种元素的RMSEC、RMSEP及RMSECV在1.13~10.75之间,预测值与真实值之间的相关性较差。K、Ca、Mg、Mn、Co、Sr、Ti、Cr等8种元素的模型预测值和真实值之间的相对误差在0.04%~7.62%之间,平均预测回收率在94.12%~108.45%之间,预测值与真实值之间无显著性差异(P>0.05)。结论:锁阳中K、Ca、Mg、Mn、Co、Sr、Ti、Cr元素含量适宜采用NIR技术进行快速测定。 展开更多
关键词 锁阳 无机元素 近红外光谱 偏最小二乘 快速测定
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甘油三酯血糖指数及HOMA-IR与慢性乙型肝炎患者肝纤维严重程度的相关性分析
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作者 李占霞 《罕少疾病杂志》 2024年第10期60-62,共3页
目的在慢性乙型肝炎(CHB)患者中分析并比较甘油三酯血糖(TyG)指数及HOMA-IR与肝纤维化严重程度的相关性。方法选取我院感染科2018年1月至2021年12月收治及门诊就诊的600例CHB患者为研究对象,根据实时剪切波弹性成像检查的肝脏硬度值(LSM... 目的在慢性乙型肝炎(CHB)患者中分析并比较甘油三酯血糖(TyG)指数及HOMA-IR与肝纤维化严重程度的相关性。方法选取我院感染科2018年1月至2021年12月收治及门诊就诊的600例CHB患者为研究对象,根据实时剪切波弹性成像检查的肝脏硬度值(LSM)分为S0S1组(n=184)、S2组(n=145)、S2S3组(n=128)和≥S3组(n=143)。测定所有入选者的空腹血糖、空腹胰岛素、甘油三酯等,计算TyG指数和HOMA-IR。结果与S0S1组相比,S2组、S2S3组和≥S3组TyG指数和HOMA-IR均升高,差别均有统计学意义(P<0.05),并且随着肝纤维化严重程度的增加,TyG指数和HOMA-IR逐渐升高;Pearson相关分析提示,在CHB患者中,LSM与TyG指数(r=0.289,P<0.001)和HOMA-IR(r=0.283,P<0.001)均呈正相关;多元Logistic回归分析提示,TyG指数和HOMA-IR均是肝纤维化严重程度的独立危险因素;ROC曲线分析提示TyG指数对CHB患者发生肝纤维化的预测效能大于HOMA-IR,当TyG指数大于5.33时,其预测肝纤维化发生的敏感度为79.8%,特异度为63.6%。结论TyG指数与CHB患者肝纤维化严重程度密切相关,其对CHB患者发生肝纤维化的预测价值优于HOMA-IR。 展开更多
关键词 甘油三酯血糖指数 HOMA-ir 肝纤纤维化 慢性乙型肝炎
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高性能Ir基阳极双催化层阴离子交换膜电解水
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作者 尹燕 尹硕尧 +2 位作者 陈斌 冯英杰 张俊锋 《材料导报》 EI CAS CSCD 北大核心 2024年第6期1-7,共7页
设计高性能低Ir阳极催化层对阴离子交换膜电解水(AEMWE)商业化发展至关重要。本研究采用催化剂涂覆基底(CCS)方法,构建基于氧化铱(IrO_(2))和碳载铱(IrC)双催化层的阳极结构,提出了一种新型双Ir催化层并提高了AEMWE性能。研究表明,在IrC... 设计高性能低Ir阳极催化层对阴离子交换膜电解水(AEMWE)商业化发展至关重要。本研究采用催化剂涂覆基底(CCS)方法,构建基于氧化铱(IrO_(2))和碳载铱(IrC)双催化层的阳极结构,提出了一种新型双Ir催化层并提高了AEMWE性能。研究表明,在IrC-IrO_(2)(先喷涂碳载铱,后喷涂氧化铱)催化层中,IrC高度分散特性有利于提高催化层中Ir的利用率,优化了催化层内电子、氢氧根离子的传输。采用商业Pt/C催化剂作为阴极,IrC-IrO_(2)阳极双催化层组装成碱性膜电极,在1 mol/L KOH电解质条件下,2.0 V时IrC-IrO_(2)电极达到了2.31 A/cm^(2)的高电流密度,而且在低浓度电解质以及纯水中依旧保持较高的性能。本研究为碱性膜电解水技术高效催化层的设计提供了参考。 展开更多
关键词 阴离子交换膜电解水(AEMWE) 析氧反应(OER) 双催化层 ir基催化剂
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Research on Infrared Emissivity and Laser Reflectivity of Sn_(1−x)Er_(x)O_(2)Micro/Nanofibers Based on First-Principles 被引量:1
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作者 Yuanjia Xia Fang Zhao +2 位作者 Zhizun Li Zhaogang Cheng Jianwei Hu 《Journal of Renewable Materials》 SCIE EI 2023年第2期921-936,共16页
Sn_(1−x)Er_(x)O_(2)(x=0%,8%,16%,24%)micro/nanofibers were prepared by electrospinning combined with heat treatment using erbium nitrate,stannous chloride and polyvinylpyrrolidone(PVP)as raw materials.The target produc... Sn_(1−x)Er_(x)O_(2)(x=0%,8%,16%,24%)micro/nanofibers were prepared by electrospinning combined with heat treatment using erbium nitrate,stannous chloride and polyvinylpyrrolidone(PVP)as raw materials.The target products were characterized by thermogravimetric analyzer,X-ray diffrotometer,fourier transform infrared spectrometer,scanning electron microscope,spectrophotometer and infrared emissivity tester,and the effects of Er^(3+)doping on its infrared and laser emissivity were studied.At the same time,the Sn_(1−x)Er_(x)O_(2)(x=0%,16%)doping models were constructed based on the first principles of density functional theory,and the related optoelectronic properties such as their energy band structure,density of states,reflectivity and dielectric constant were analyzed,and further explained the mechanism of Er^(3+)doping on SnO_(2)infrared emissivity and laser absorption from the point of electronic structure.The results showed that after calcination at 600℃,single rutile type SnO_(2)was formed,and the crystal structure was not changed by doping Er^(3+).The calcined products showed good fiber morphology,and the average fiber diameter was 402 nm.The infrared emissivity and resistivity of the samples both decreased first and then increased with the increase of Er^(3+)doping amount.When x=16%,the infrared emis-sivity of the sample was at least 0.71;and Er^(3+)doping can effectively reduce the reflectivity of SnO_(2)at 1.06μm and 1.55μm,when x=16%,its reflectivity at 1.06μm and 1.55μm are 50.5%and 40%,respectively,when x=24%,the reflectivity at 1.06μm and 1.55μm wavelengths are 47.3%and 42.1%,respectively.At the same time,the change of carrier concentration and electron transition before and after Er^(3+)doping were described by first-principle calculation,and the regulation mechanism of infrared emissivity and laser reflectivity was explained.This study provides a certain experimental and theoretical basis for the development of a single-type,light-weight and easily prepared infrared and laser compatible-stealth material. 展开更多
关键词 Micro/nano fibers Er^(3+)doping SnO_(2) laser and infrared compatible stealth material
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Lightweight Dual‑Functional Segregated Nanocomposite Foams for Integrated Infrared Stealth and Absorption‑Dominant Electromagnetic Interference Shielding 被引量:1
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作者 Zhonglei Ma Ruochu Jiang +8 位作者 Jiayao Jing Songlei Kang Li Ma Kefan Zhang Junxian Li Yu Zhang Jianbin Qin Shuhuan Yun Guangcheng Zhang 《Nano-Micro Letters》 SCIE EI CAS CSCD 2024年第11期38-55,共18页
Lightweight infrared stealth and absorption-dominant electromagnetic interference(EMI)shielding materials are highly desirable in areas of aerospace,weapons,military and wearable electronics.Herein,lightweight and hig... Lightweight infrared stealth and absorption-dominant electromagnetic interference(EMI)shielding materials are highly desirable in areas of aerospace,weapons,military and wearable electronics.Herein,lightweight and high-efficiency dual-functional segregated nanocomposite foams with microcellular structures are developed for integrated infrared stealth and absorption-dominant EMI shielding via the efficient and scalable supercritical CO_(2)(SC-CO_(2))foaming combined with hydrogen bonding assembly and compression molding strategy.The obtained lightweight segregated nanocomposite foams exhibit superior infrared stealth performances benefitting from the synergistic effect of highly effective thermal insulation and low infrared emissivity,and outstanding absorption-dominant EMI shielding performances attributed to the synchronous construction of microcellular structures and segregated structures.Particularly,the segregated nanocomposite foams present a large radiation temperature reduction of 70.2℃ at the object temperature of 100℃,and a significantly improved EM wave absorptivity/reflectivity(A/R)ratio of 2.15 at an ultralow Ti_(3)C_(2)T_(x) content of 1.7 vol%.Moreover,the segregated nanocomposite foams exhibit outstanding working reliability and stability upon dynamic compression cycles.The results demonstrate that the lightweight and high-efficiency dual-functional segregated nanocomposite foams have excellent potentials for infrared stealth and absorption-dominant EMI shielding applications in aerospace,weapons,military and wearable electronics. 展开更多
关键词 Segregated nanocomposite foams Microcellular structures infrared stealth EMI shielding Low infrared emissivity
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