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1

Akhilseh, Kumar Verma, Manish, and Rajesh Kumar Dr. "OVERVIEW OF RF COMMUNICATION FROM SISO SYSTEMS TO MIMO SYSTEMS." International Journal of Advances in Engineering & Scientific Research 3, no. 3 (2016): 13–18. https://doi.org/10.5281/zenodo.10752074.

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<strong><em>Abstract: </em></strong> <em>&nbsp;The wireless communication has derived to the present scenario after passing through number of stages and generation. From analog communication of 1<sup>st</sup> generation today we talk about digital communication in 4<sup>th</sup> generation, from the generation of single transmitting antenna and single receive antenna known as SISO systems, we reached the systems with multiple transmitting and multiple receiving antennas known as MIMO systems going through the systems of Multiple Transmit and single receive antenna systems known as MISO systems
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2

Akhilseh, Kumar Verma, Manish, and Rajesh Kumar Dr. "EQUALIZATION SCHEMES IN MIMO RF COMMUNICATION: A PERFORMANCE ANALYSIS." International Journal of Advances in Engineering & Scientific Research 3, no. 3 (2016): 44–50. https://doi.org/10.5281/zenodo.10752554.

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<strong><em>Abstract:</em></strong> <strong><em>&nbsp;</em></strong>The wireless communication has derived to the present scenario after passing through number of stages and generation. From analog communication of 1<sup>st</sup> generation today we talk about digital communication in 4<sup>th</sup> generation, from the generation of single transmitting antenna and single receive antenna known as SISO systems, we reached the systems with multiple transmitting and multiple receiving antennas known as MIMO systems going through the systems of Multiple Transmit and single receive antenna systems
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3

Akhilseh, Kumar Verma, Manish, and Rajesh Kumar Dr. "ZFE AND MMSE SCHEMES FOR MIMO COMMUNICATION SYSTEMS : AN ANALYSIS." International Journal of Advances in Engineering & Scientific Research 3, no. 3 (2016): 37–43. https://doi.org/10.5281/zenodo.10752418.

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<strong><em>Abstract:</em></strong> <em>&nbsp;</em>MIMO systems are very important technological advancements with respect to the third generation and fourth generation&rsquo;s wireless networks for RF communication.<em> </em>There are multiple equalization schemes for MIMO systems and two very important of them are ZFE and MMSE. In this paper we are analyzing the performance of both the schemes in different conditions. <em>Index terms-</em> MIMO, SISO, SIMO, MISO, MMSE, ZFE.
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4

Gang Chen, Jie Chen, and R. Middleton. "Optimal tracking performance for SIMO systems." IEEE Transactions on Automatic Control 47, no. 10 (2002): 1770–75. http://dx.doi.org/10.1109/tac.2002.803559.

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5

Kim, Young-Gil. "Phase Control of Transmit Antennas in SIMO Systems." Journal of Korea Information and Communications Society 37, no. 8A (2012): 612–17. http://dx.doi.org/10.7840/kics.2012.37a.8.612.

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6

Kapalin, I. V., and V. V. Fomichev. "Minimal stabilization of vector (MISO and SIMO) systems." Differential Equations 47, no. 11 (2011): 1592–602. http://dx.doi.org/10.1134/s0012266111110061.

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7

Li, Shuangzhi, Jian-Kang Zhang, and Xiaomin Mu. "Design of Optimal Noncoherent Constellations for SIMO Systems." IEEE Transactions on Communications 67, no. 8 (2019): 5706–20. http://dx.doi.org/10.1109/tcomm.2019.2913367.

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8

Manolakos, Alexandros, Mainak Chowdhury, and Andrea Goldsmith. "Energy-Based Modulation for Noncoherent Massive SIMO Systems." IEEE Transactions on Wireless Communications 15, no. 11 (2016): 7831–46. http://dx.doi.org/10.1109/twc.2016.2608883.

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9

An, Ho-jung, and Hyoung-kyu Song. "Cooperative Communication in SIMO Systems with Multiuser-OFDM." IEEE Transactions on Consumer Electronics 53, no. 2 (2007): 339–43. http://dx.doi.org/10.1109/tce.2007.381698.

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10

Wang, Zhen, and Ye Cai Guo. "Blind Equalization Algorithm Based on the Orthogonal Wavelet Transform for SIMO Systems." Applied Mechanics and Materials 198-199 (September 2012): 1493–96. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.1493.

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In order to improve the equalization effects of the constant modulus blind equalization algorithm (CMA) for Single-Input and Multiple-Output (SIMO) systems, orthogonal wavelet transform constant modulus algorithm (WT-CMA) based on SIMO is proposed. This proposed algorithm uses the orthogonal wavelet transform to decrease the autocorrelation of the input signals to accelerate the convergence rate and reduce the steady-state error. Theoretical analysis and computer simulations shows that the proposed algorithm has better performance and smaller steady-state error in SIMO systems, it is very easy
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11

OSPEL, Matthias Wolfram, Niklas NOLTE, Matthias WITTE, and Frank-Hendrik WURM. "Global active noise control using SIMO near-field systems - Simulation and technical implementation." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 6 (2024): 5589–600. http://dx.doi.org/10.3397/in_2024_3620.

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The technical implementation of a single-input multiple-output (SIMO) active near-field noise control (ANC) system designed for global low-frequency noise control is presented. The SIMO control strategy is motivated by noise control simulations based on a direct boundary element method (BEM) ansatz formulated in this paper. The suitability of the chosen BEM formulation and SIMO control strategy is accompanied and confirmed by extensive experiments and comparison to analytical calculations based on isotropic sources. The influence of parameters such as the positioning of the error microphone, t
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12

KHAN, Asif, Alam ZAIB, and Shahid KHATTAK. "Low complexity link level performance prediction for SIMO systems." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 25 (2017): 4734–45. http://dx.doi.org/10.3906/elk-1703-268.

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13

Van Luong, Thien, Youngwook Ko, Ngo Anh Vien, Michail Matthaiou, and Hien Quoc Ngo. "Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems." IEEE Transactions on Wireless Communications 19, no. 6 (2020): 3952–62. http://dx.doi.org/10.1109/twc.2020.2979138.

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14

Hara, Shinji, Toni Bakhtiar та Masaaki Kanno. "The Best Achievableℋ2Tracking Performances for SIMO Feedback Control Systems". Journal of Control Science and Engineering 2007 (2007): 1–12. http://dx.doi.org/10.1155/2007/93904.

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This paper is concerned with the inherentℋ2tracking performance limitation of single-input and multiple-output (SIMO) linear time-invariant (LTI) feedback control systems. The performance is measured by the tracking error between a step reference input and the plant output with additional penalty on control input. We employ the plant augmentation strategy, which enables us to derive analytical closed-form expressions of the best achievable performance not only for discrete-time system, but also for continuous-time system by exploiting the delta domain version of the expressions.
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15

Yu, J. L. "Channel estimation for SIMO OFDM systems without cyclic prefix." Electronics Letters 43, no. 24 (2007): 1369. http://dx.doi.org/10.1049/el:20071725.

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16

Li, Shengyu, Wenjun Xu, Zhihui Liu, and Jiaru Lin. "Independent Power Splitting for Interference-Corrupted SIMO SWIPT Systems." IEEE Communications Letters 20, no. 3 (2016): 478–81. http://dx.doi.org/10.1109/lcomm.2016.2519408.

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17

Bogale, Tadilo Endeshaw, Long Bao Le, Xianbin Wang, and Luc Vandendorpe. "Multipath Multiplexing for Capacity Enhancement in SIMO Wireless Systems." IEEE Transactions on Wireless Communications 16, no. 10 (2017): 6895–911. http://dx.doi.org/10.1109/twc.2017.2732980.

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18

Leung, Eleanor, Zheng Dong, and Jian-Kang Zhang. "Uniquely Factorable Hexagonal Constellation Designs for Noncoherent SIMO Systems." IEEE Transactions on Vehicular Technology 66, no. 6 (2017): 5495–501. http://dx.doi.org/10.1109/tvt.2016.2626245.

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19

Luo, Zhan, Lin Lin, Weisi Guo, Siyi Wang, Fuqiang Liu, and Hao Yan. "One Symbol Blind Synchronization in SIMO Molecular Communication Systems." IEEE Wireless Communications Letters 7, no. 4 (2018): 530–33. http://dx.doi.org/10.1109/lwc.2018.2793197.

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20

Nguyen, Hieu, Zhao Zhao, Feng Zheng, and Thomas Kaiser. "Preequalizer Design for Spatial Multiplexing SIMO-UWB TR Systems." IEEE Transactions on Vehicular Technology 59, no. 8 (2010): 3798–805. http://dx.doi.org/10.1109/tvt.2010.2064345.

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21

ZHAO, Y. "Capacity Bounds of SIMO Systems with Co-Channel Interferers." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E88-A, no. 8 (2005): 2231–35. http://dx.doi.org/10.1093/ietfec/e88-a.8.2231.

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22

Li, Shuangzhi, Zheng Dong, He Chen, and Xin Guo. "Constellation Design for Noncoherent Massive SIMO Systems in URLLC Applications." IEEE Transactions on Communications 69, no. 7 (2021): 4387–401. http://dx.doi.org/10.1109/tcomm.2021.3073784.

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23

FANG, Shih-Hao, Ju-Ya CHEN, Ming-Der SHIEH, and Jing-Shiun LIN. "Blind Channel Estimation for SIMO-OFDM Systems without Cyclic Prefix." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E93-A, no. 1 (2010): 339–43. http://dx.doi.org/10.1587/transfun.e93.a.339.

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24

Kapalin, I. V. "Minimal stabilizers with arbitrary spectrum for SIMO and MISO systems." Differential Equations 48, no. 11 (2012): 1531–36. http://dx.doi.org/10.1134/s0012266112110122.

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25

Gorokhov, A. "Blind equalization in SIMO OFDM systems with frequency domain spreading." IEEE Transactions on Signal Processing 48, no. 12 (2000): 3536–49. http://dx.doi.org/10.1109/78.887046.

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26

Wei, G., and F. Chen. "Blind Identification of IIR Systems Based on Special SIMO Model." IEEE Transactions on Circuits and Systems I: Regular Papers 51, no. 3 (2004): 585–97. http://dx.doi.org/10.1109/tcsi.2003.820242.

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27

HARA, Shinji, and Toni BAKHTIAR. "H2 Control Performance Limitations for SIMO Linear Discrete-Time Systems." Transactions of the Institute of Systems, Control and Information Engineers 19, no. 10 (2006): 391–99. http://dx.doi.org/10.5687/iscie.19.391.

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28

Liang, Haodong, Chao Gao, Yiming Li, Maoke Miao, and Xiaofeng Li. "Performance analysis of mixed MISO RF/SIMO FSO relaying systems." Optics Communications 478 (January 2021): 126344. http://dx.doi.org/10.1016/j.optcom.2020.126344.

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29

Zhang, Chaoxian, Lin Wang, and Guanrong Chen. "Promising Performance of PA-Coded SIMO FM-DCSK Communication Systems." Circuits, Systems & Signal Processing 27, no. 6 (2008): 915–26. http://dx.doi.org/10.1007/s00034-008-9067-2.

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30

Grimble, M. J. "Model reference predictive LQG optimal control law for SIMO systems." IEEE Transactions on Automatic Control 37, no. 3 (1992): 365–71. http://dx.doi.org/10.1109/9.119639.

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31

Xu, Shengbo, Weiyang Xu, Cunhua Pan, and Maged Elkashlan. "Detection of Jamming Attack in Non-Coherent Massive SIMO Systems." IEEE Transactions on Information Forensics and Security 14, no. 9 (2019): 2387–99. http://dx.doi.org/10.1109/tifs.2019.2899484.

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32

Grimble, M. J. "Predictive H∞ model reference optimal control law for SIMO systems." IEE Proceedings D Control Theory and Applications 136, no. 6 (1989): 273. http://dx.doi.org/10.1049/ip-d.1989.0036.

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33

Dong, Zheng, He Chen, and Jian-Kang Zhang. "Design of Multi-User Noncoherent Massive SIMO Systems for Scalable URLLC." Entropy 25, no. 9 (2023): 1325. http://dx.doi.org/10.3390/e25091325.

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This paper develops and optimizes a non-orthogonal and noncoherent multi-user massive single-input multiple-output (SIMO) framework, with the objective of enabling scalable ultra-reliable low-latency communications (sURLLC) in Beyond-5G (B5G)/6G wireless communication systems. In this framework, the huge diversity gain associated with the large-scale antenna array in the massive SIMO system is leveraged to ensure ultra-high reliability. To reduce the overhead and latency induced by the channel estimation process, we advocate for the noncoherent communication technique, which does not need the
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34

BAKHTIAR, T. "REGULATION LIMITS UNDER CONTROL EFFORT OF SIMO LTI SYSTEMS AND ITS EXTENSION TO DELAY-TIME SYSTEMS." Journal of Mathematics and Its Applications 5, no. 1 (2006): 33. http://dx.doi.org/10.29244/jmap.5.1.33-42.

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&lt;p&gt;In this paper, we investigate regulation properties pertaining to SIMO LTI systems, in which objective function of regulated response is minimized jointly with the control effort. We provide the closed-form solution of the H2 optimal regulation performance for unstable/non-minimum phase continuous-time and discrete-time systems. A direct implication of our main result in- cludes the energy regulation performance of minimum phase time delay systems.&lt;/p&gt;
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35

Duc, Ha Vu, Huang Shoudao, and Diep Tran Thi. "Hierarchical robust fuzzy sliding mode control for a class of simo under-actuated systems with mismatched uncertainties." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 6 (2019): 3027–43. https://doi.org/10.12928/TELKOMNIKA.v17i6.13176.

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The development of the algorithms for single input multi output (SIMO) under-actuated systems with mismatched uncertainties is important. Hierarchical sliding-mode controller (HSMC) has been successfully employed to control SIMO under-actuated systems with mismatched uncertainties in a hierarchical manner with the use of sliding mode control. However, in such a control scheme, the chattering phenomenon is its main disadvantage. To overcome the above disadvantage, in this paper, a new compound control scheme is proposed for SIMO under-actuated based on HSMC and fuzzy logic control (FLC). By usi
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36

DUDA, Stanislaw K., and Ryozaburo TAGAWA. "Least Order Solution for Output Feedback Stabilization of Linear SIMO Systems." Transactions of the Society of Instrument and Control Engineers 21, no. 3 (1985): 256–61. http://dx.doi.org/10.9746/sicetr1965.21.256.

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37

Getu, Tilahun Melkamu, Wessam Ajib, and Omar A. Yeste-Ojeda. "Tensor-Based Efficient Multi-Interferer RFI Excision Algorithms for SIMO Systems." IEEE Transactions on Communications 65, no. 7 (2017): 3037–52. http://dx.doi.org/10.1109/tcomm.2017.2694006.

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38

Lee, Yinman, Yun-jung Hsieh, and Hong-wei Shieh. "Multiobjective optimization for pre-DFT combining in coded SIMO-OFDM systems." IEEE Communications Letters 14, no. 4 (2010): 303–5. http://dx.doi.org/10.1109/lcomm.2010.04.092148.

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39

Filippou, Miltiades C., George A. Ropokis, David Gesbert, and Tharmalingam Ratnarajah. "Joint Sensing and Reception Design of SIMO Hybrid Cognitive Radio Systems." IEEE Transactions on Wireless Communications 15, no. 9 (2016): 6327–41. http://dx.doi.org/10.1109/twc.2016.2582876.

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40

Guo, Wenbo, Changqing Song, Hongzhi Zhao, Shihai Shao, and Youxi Tang. "Performance Analysis of MRC With Imperfect Time Alignment in SIMO Systems." IEEE Wireless Communications Letters 9, no. 8 (2020): 1319–22. http://dx.doi.org/10.1109/lwc.2020.2989313.

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41

Ohno, Shuichi, and Hideaki Sakai. "Blind equalization of SIMO FIR systems by using circular Levinson algorithm." Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 1999 (May 5, 1999): 123–28. http://dx.doi.org/10.5687/sss.1999.123.

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42

Gunther, J. H., and R. Lopez-Valcarce. "Blind Input, Initial State, and System Identification of SIMO Laguerre Systems." IEEE Transactions on Signal Processing 52, no. 12 (2004): 3357–69. http://dx.doi.org/10.1109/tsp.2004.837438.

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43

Pan, ChengKang, YueMing Cai, and YouYun Xu. "Channel-aware multi-user uplink transmission scheme for SIMO-OFDM systems." Science in China Series F: Information Sciences 52, no. 9 (2009): 1678–87. http://dx.doi.org/10.1007/s11432-009-0077-x.

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44

Guan, Zhi-Hong, Baoxian Wang, and Li Ding. "Modified tracking performance limitations of unstable linear SIMO feedback control systems." Automatica 50, no. 1 (2014): 262–67. http://dx.doi.org/10.1016/j.automatica.2013.10.008.

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45

Litrico, X. "Robust IMC flow control of SIMO dam-river open-channel systems." IEEE Transactions on Control Systems Technology 10, no. 3 (2002): 432–37. http://dx.doi.org/10.1109/87.998033.

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46

Hien Quoc Ngo, Michail Matthaiou, Trung Q. Duong, and Erik G. Larsson. "Uplink Performance Analysis of Multicell MU-SIMO Systems With ZF Receivers." IEEE Transactions on Vehicular Technology 62, no. 9 (2013): 4471–83. http://dx.doi.org/10.1109/tvt.2013.2265720.

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47

Aghazadeh, Behnam, and Mohammad Torabi. "Performance analysis of multiuser selection diversity in SIMO spectrum sharing systems." International Journal of Communication Systems 31, no. 1 (2017): e3397. http://dx.doi.org/10.1002/dac.3397.

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48

Chowdhury, Mainak, and Andrea Goldsmith. "Reliable Uncoded Communication in the SIMO MAC." IEEE Transactions on Information Theory 61, no. 1 (2015): 388–403. http://dx.doi.org/10.1109/tit.2014.2371040.

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49

Alrubei, Mohammed A. T., Ihsan A. Alshimaysawe, Ashwaq N. Hassan, and Ali H. K. Khwayyir. "Capacity analysis & performance comparison of SISO, SIMO, MISO & MIMO systems." Journal of Physics: Conference Series 1530 (May 2020): 012077. http://dx.doi.org/10.1088/1742-6596/1530/1/012077.

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50

Lei, Hongjiang, Jianming Zhang, Ki-Hong Park, Imran Shafique Ansari, Gaofeng Pan, and Mohamed-Slim Alouini. "Secrecy performance analysis of SIMO underlay cognitive radio systems with outdated CSI." IET Communications 11, no. 12 (2017): 1961–69. http://dx.doi.org/10.1049/iet-com.2017.0131.

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