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    Wang, Qi

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    Dataset for Optical Jamming Enhances the Secrecy Performance of the Generalized Space Shift Keying Aided Visible Light Downlink

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    This dataset supports the publication: Wang, Fasong Wang; Liu, Chaowen Li; Wang, Qi; Zhang, Jiankang; Zhang, Rong; Yang Lie-Liang; Hanzo, Lajos. Optical Jamming Enhances the Secrecy Performance of the Generalized Space Shift Keying Aided Visible Light Downlink. IEEE Transactions on Communications. This dataset contains which are used for generating Fig.2 to Fig.11. These figures are plotted using Matlab. The scripts of Matlab are also included in the folds for each figures. In order to generate these figures, you should install Matlab https://www.mathworks.com/</span

    Bianque xin shu shen fang

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    扁鵲傳 ; 竇材重集 ; 胡珏參論.綫裝.框17.8x12.2公分, 8行20字, 小字雙行同. 白口, 左右雙邊, 單黑魚尾. 版心上鐫題名, 中鐫卷次, 下鐫葉次.分上, 中, 下卷.《神方》末有乾隆乙酉[1765]王琦跋, 言刻書事.《中國中醫古籍總目》05495著錄有乾隆刻本.鈐"莊兆祥印"朱, 白文各一方.Xian zhuang.Kuang 17.8 x 12.2 gong fen, 8 hang 20 zi, xiao zi shuang hang tong. Bai kou, zuo you shuang bian, dan hei yu wei. Ban xin shang juan ti ming, zhong juan juan ci, xia juan ye ci.Fen shang, zhong, xia juan."Shen fang" mo you Qianlong yi you [1765] Wang Qi ba, yan ke shu shi.Detailed notes in vernacular field only.Bian Que zhuan ; Dou Cai chong ji ; Hu Jue can lun.Qian "Zhuang Zhaoxiang yin" zhu, bai wen ge yi fang

    Replication Data for: Cluster Computing

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    Simulation data and experimental data in the paper "Research on a new power distribution control strategy of hybrid energy storage system for hybrid electric vehicles based on the subtractive clustering and adaptive fuzzy neural network"

    The Influence of Nano-fillers on The Insulation Properties of Epoxy Resin

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    The purpose of the present paper is to study the effects of nano-size fillers on space charge and breakdown behaviors of epoxy/nanocomposites. Nano Al2O3 fillers are used in this study. The pulsed electroacoustic technique is used to monitor space charge behaviors of the samples and the breakdown behaviors of epoxy/nanocomposites with different concentrations have been measured

    Effect of pre-treatment of nanofillers on the dielectric properties of epoxy nanocomposites

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    Early researches show that the nano filler dispersion has a significant effect on the dielectric properties of resulting epoxy nanocomposites. In this paper a comparative study on the dielectric permittivity, AC breakdown behaviours and glass transition temperature of epoxy nanocomposites loaded with both treated and untreated nano SiO2 fillers has been carried out. The epoxy resin (LY556), commonly used in power apparatus, was used to study the dielectric behaviour of epoxy. Silane was used as a coupling agent to pre-treat the nano particles. The results indicate that the surface treatment of nanoparticles has a strong effect on the dielectric properties of resulting nanocomposites as surface treated nanoparticles with better dispersions is believed to hinder the polymer chain mobility and charge transportation through the interface region between epoxy and nanoparticles

    Cs-Pb-Br halide perovskite phases: photoluminescence, in-situ studies, and structure prediction with machine learning

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    The materials comprising combinations of Cs, Pb and Br feature unique optoelectronic properties, and both their fundamental behavior and the synthesis processes need to be fully understood in order to achieve meaningful applications. In this thesis we cover fundamental physical properties of some of these materials, follow their dynamics as a function of temperature and investigate their synthesis parameter space using machine learning. Specifically, we examined the luminescence properties of zero-dimensional (0D) Cs4PbBr6, exploring the steady-state and time-resolved photoluminescence (TRPL) behavior of millimeter-scale Cs4PbBr6 crystals across a temperature range of 80 to 360 K. This analysis included observations of exciton binding energy, phonon energy, and changes in PL luminescence peak with temperature. High-resolution transmission electron microscopy (HRTEM) characterization and TRPL results confirmed that nanoscale CsPbBr3 crystals are embedded within the Cs4PbBr6 bulk matrix, as hypothesized in the literature. Furthermore, we fabricated white light-emitting diodes (WLEDs) device based on Cs4PbBr6/CsPbBr3, achieving a luminous efficiency of 64.56 lm/W and color coordinates of (0.34, 0.31), closely matching standard white coordinates. The device’s color gamut was measured at 128.66% of the National Television System Committee (NTSC) standard. We employed in-situ characterization techniques, including X-ray diffraction (XRD) and TEM, to analyze 0D Cs4PbBr6 and their dynamics as a function of temperature. In-situ XRD heating revealed that pure 0D Cs4PbBr6 nanocrystals (NCs) start converting to 3D CsPbBr3 at approximately 150 °C, increasing with temperature up to 400 °C. We also monitored this transformation through in-situ heating high-resolution TEM (HRTEM). We observed that not all 0D Cs4PbBr6 would transform into 3D CsPbBr3 under heating. However, as TEM imaging can only provide information about a limited number of crystals, we couldn’t draw conclusions at ensemble level. This prompted us to investigate in more detail the interplay between three different Cs-Pb-Br related materials, normally referred to as 0D, 2D and 3D perovskites. To understand how their nucleation, growth and evolution lead to different products, we applied machine learning (ML) to summarize and predict the crystal phase outcomes based on experimental parameters. Using data from 220 documented synthesis runs in the literature as a training dataset for eight different ML models, we achieved a prediction accuracy of 84.1%. This trained model was subsequently validated by predicting the structure of 10 experimental runs based on random parameters, achieving an experimental verification accuracy of 80%. Our findings highlight the critical influence of the Cs/Pb molar ratio, reaction time, and concentration of organic compounds (ligands) on the crystal structure of Cs-Pb-Br

    Introduction

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