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Xiaoqi Qin - IEEE Xplore Author Profile
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Xiaoqi Qin

Publications
115
Citations
1,270
Publications by Year
20132025
Co-Authors:
Show All Co-Authors (194)
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Xiaoqi Qin

Affiliation

State Key Laboratory of Networking and Switching Technology
Beijing University of Posts and Telecommunications
Beijing, China

Publication Topics

Biography

Xiaoqi Qin [S' M'16] received her B.S., M.S., and Ph.D. degrees from Electrical and Computer Engineering with Virginia Tech. She is currently an Associate Professor of School of Information and Communication Engineering with Beijing University of Posts and Telecommunications (BUPT). Her research focuses on exploring performance limits of next-generation wireless networks, and developing innovative solutions for intelligent and efficient machine-type communications.(Based on document published on 12 July 2022).
Publications
115
Citations
1,270
Publications by Year
20132025
Co-Authors:
Show All Co-Authors (194)
Author's Published Works

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Multistatic Cooperative Sensing Assisted Secure Transmission via IRS

Xianglin Yu;Jinlei Xu;Xiaoqi Qin;Jie Tang;Nan Zhao;Dusit Niyato

IEEE Transactions on Wireless Communications
Year: 2025 | Early Access Article |
Benefiting from the performance enhancement brought by multistatic cooperative sensing, integrated sensing and communication (ISAC) can capture more environmental information to address the security risk of information leakage caused by the openness of wireless channels. In this paper, we study the multistatic cooperative sensing assisted secure transmission via intelligent reflecting surface (IRS...Show More

Multistatic Cooperative Sensing Assisted Secure Transmission via IRS

Xianglin Yu;Jinlei Xu;Xiaoqi Qin;Jie Tang;Nan Zhao;Dusit Niyato

Year: 2025 | Early Access Article |

A Novel 3D Non-Stationary Channel Model for Aerial Hybrid Reconfigurable Intelligent Surface-Assisted ISAC Systems

Ke Peng;Nan Ma;Kaiheng Zhang;Jianqiao Chen;Xiaoqi Qin;Ping Zhang

IEEE Transactions on Vehicular Technology
Year: 2025 | Early Access Article |
Aerial hybrid reconfigurable intelligent surface (AHRIS) -assisted integrated sensing and communication (ISAC) has recently emerged as a promising candidate for practical deployment in the sixth generation (6G) wireless networks. System design and gain rely heavily on accurately modeling of the underlying channel characteristics, which is challenging due to the high mobility of AHRIS and the uniqu...Show More

A Novel 3D Non-Stationary Channel Model for Aerial Hybrid Reconfigurable Intelligent Surface-Assisted ISAC Systems

Ke Peng;Nan Ma;Kaiheng Zhang;Jianqiao Chen;Xiaoqi Qin;Ping Zhang

Year: 2025 | Early Access Article |

Linear Model of RIS-Aided High-Mobility Communication System

Shuaijun Li;Jie Tang;Beixiong Zheng;Xiaokai Song;Xiaoqi Qin;Guixin Pan;Kai-Kit Wong

IEEE Transactions on Vehicular Technology
Year: 2025 | Early Access Article |
Reconfigurable intelligent surface (RIS)-aided vehicle-to-everything (V2X) communication has emerged as a crucial solution for providing reliable data services to vehicles on the road. However, in delay-sensitive or high-mobility communications, the rapid movement of vehicles can lead to random scattering in the environment and time-selective fading in the channel. In view of this, we investigate ...Show More

Linear Model of RIS-Aided High-Mobility Communication System

Shuaijun Li;Jie Tang;Beixiong Zheng;Xiaokai Song;Xiaoqi Qin;Guixin Pan;Kai-Kit Wong

Year: 2025 | Early Access Article |

NeRFCom: Feature Transform Coding Meets Neural Radiance Field for Free-View 3D Scene Semantic Transmission

Weijie Yue;Zhongwei Si;Bolin Wu;Sixian Wang;Xiaoqi Qin;Kai Niu;Jincheng Dai;Ping Zhang

IEEE Communications Letters
Year: 2025 | Early Access Article |
We introduce NeRFCom, a novel communication system designed for end-to-end 3D scene transmission. Compared to traditional systems relying on handcrafted NeRF semantic feature decomposition for compression and well-adaptive channel coding for transmission error correction, our NeRFCom employs a nonlinear transform and learned probabilistic models, enabling flexible variable-rate joint source-channe...Show More

NeRFCom: Feature Transform Coding Meets Neural Radiance Field for Free-View 3D Scene Semantic Transmission

Weijie Yue;Zhongwei Si;Bolin Wu;Sixian Wang;Xiaoqi Qin;Kai Niu;Jincheng Dai;Ping Zhang

Year: 2025 | Early Access Article |

AoI-Delay Tradeoff in Mobile Edge Caching: A Lyapunov Optimization-Based Method

Ran Li;Chuan Huang;Xiaoqi Qin;Zhanhong Fu;Lei Yang;Dong Yang

IEEE Internet of Things Journal
Year: 2025 | Early Access Article |
Mobile edge caching (MEC) is a promising technique to improve the quality of service (QoS) for mobile users (MU) by bringing data to the network edge. However, optimizing the crucial QoS aspects of message freshness and service promptness, measured by age of information (AoI) and service delay, respectively, entails a tradeoff due to their competition for shared edge resources. This paper investig...Show More

AoI-Delay Tradeoff in Mobile Edge Caching: A Lyapunov Optimization-Based Method

Ran Li;Chuan Huang;Xiaoqi Qin;Zhanhong Fu;Lei Yang;Dong Yang

Year: 2025 | Early Access Article |

ResiComp: Loss-Resilient Image Compression via Dual-Functional Masked Visual Token Modeling

Sixian Wang;Jincheng Dai;Xiaoqi Qin;Ke Yang;Kai Niu;Ping Zhang

IEEE Transactions on Circuits and Systems for Video Technology
Year: 2025 | Early Access Article |
Recent advancements in neural image codecs (NICs) are of significant compression performance, but limited attention has been paid to their error resilience. These resulting NICs tend to be sensitive to packet losses, which are prevalent in real-time communications. In this paper, we investigate how to elevate the resilience ability of NICs to combat packet losses. We propose ResiComp, a pioneering...Show More

ResiComp: Loss-Resilient Image Compression via Dual-Functional Masked Visual Token Modeling

Sixian Wang;Jincheng Dai;Xiaoqi Qin;Ke Yang;Kai Niu;Ping Zhang

Year: 2025 | Early Access Article |

SoundSpring: Loss-Resilient Audio Transceiver With Dual-Functional Masked Language Modeling

Shengshi Yao;Jincheng Dai;Xiaoqi Qin;Sixian Wang;Siye Wang;Kai Niu;Ping Zhang

IEEE Journal on Selected Areas in Communications
Year: 2025 | Volume: 43, Issue: 4 | Journal Article |
In this paper, we propose “SoundSpring”, a cutting-edge error-resilient audio transceiver that marries the robustness benefits of joint source-channel coding (JSCC) while also being compatible with current digital communication systems. Unlike recent deep JSCC transceivers, which learn to directly map audio signals to analog channel-input symbols via neural networks, our SoundSpring adopts the lay...Show More

SoundSpring: Loss-Resilient Audio Transceiver With Dual-Functional Masked Language Modeling

Shengshi Yao;Jincheng Dai;Xiaoqi Qin;Sixian Wang;Siye Wang;Kai Niu;Ping Zhang

Year: 2025 | Volume: 43, Issue: 4 | Journal Article |

A Non-Stationary Channel Model for Aerial Intelligent Reflecting Surface With 3D Continuously Arbitrary Trajectory

Nan Ma;Shaoyi Liu;Jianqiao Chen;Xiaoqi Qin;Ke Peng;Kaiheng Zhang

IEEE Transactions on Vehicular Technology
Year: 2025 | Volume: 74, Issue: 2 | Journal Article |
Intelligent reflecting surface (IRS) is considered as one of the revolutionary technologies for sixth-generation (6G) wireless communication as it can be adapted to assist communication systems by adaptively manipulating the propagation environment and greatly expanding network coverage. In this case, the aerial IRS (AIRS)-assisted communications have unique advantages, such as more flexible deplo...Show More

A Non-Stationary Channel Model for Aerial Intelligent Reflecting Surface With 3D Continuously Arbitrary Trajectory

Nan Ma;Shaoyi Liu;Jianqiao Chen;Xiaoqi Qin;Ke Peng;Kaiheng Zhang

Year: 2025 | Volume: 74, Issue: 2 | Journal Article |

SwinJSCC: Taming Swin Transformer for Deep Joint Source-Channel Coding

Ke Yang;Sixian Wang;Jincheng Dai;Xiaoqi Qin;Kai Niu;Ping Zhang

IEEE Transactions on Cognitive Communications and Networking
Year: 2025 | Volume: 11, Issue: 1 | Journal Article |
Cited by: Papers (10)
As one of the key techniques to realize semantic communications, end-to-end optimized neural joint source-channel coding (JSCC) has made great progress over the past few years. A general trend in many recent works pushing the model adaptability or the application diversity of neural JSCC is based on the convolutional neural network (CNN) backbone, whose model capacity is yet limited, inherently le...Show More

SwinJSCC: Taming Swin Transformer for Deep Joint Source-Channel Coding

Ke Yang;Sixian Wang;Jincheng Dai;Xiaoqi Qin;Kai Niu;Ping Zhang

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Quantum Computing Catalyzes Future Quantum Networks: Efficiency and Inherent Privacy

Keyi Ju;Hui Zhong;Xinyue Zhang;Xiaoqi Qin;Miao Pan

IEEE Network
Year: 2025 | Volume: 39, Issue: 1 | Magazine Article |
Cited by: Papers (1)
Quantum networks show promise in enhancing the overall functional advantages of the Internet and enabling applications that are incomparable in the classical world. Supported by quantum communication, quantum networks are expected to offer almost unconditional security. However, securing personal privacy within quantum networks is of paramount importance. The aim of this paper is to extend the dif...Show More

Quantum Computing Catalyzes Future Quantum Networks: Efficiency and Inherent Privacy

Keyi Ju;Hui Zhong;Xinyue Zhang;Xiaoqi Qin;Miao Pan

Year: 2025 | Volume: 39, Issue: 1 | Magazine Article |

Tuning Quantum Computing Privacy through Quantum Error Correction

Hui Zhong;Keyi Ju;Manojna Sistla;Xinyue Zhang;Aohan Li;Xiaoqi Qin;Xin Fu;Miao Pan

GLOBECOM 2024 - 2024 IEEE Global Communications Conference
Year: 2024 | Conference Paper |
Quantum computing is a promising paradigm for efficiently solving large and high-complexity problems. However, ensuring privacy within this quantum computing necessitates innovative approaches. Existing research has introduced the concept of quantum differential privacy (QDP) to protect data privacy in quantum computing by leveraging quantum noise. Yet, this method faces limitations due to the fix...Show More

Tuning Quantum Computing Privacy through Quantum Error Correction

Hui Zhong;Keyi Ju;Manojna Sistla;Xinyue Zhang;Aohan Li;Xiaoqi Qin;Xin Fu;Miao Pan

Year: 2024 | Conference Paper |

Joint Beamforming Design for Semi-IRS-Aided Secure ISAC with Assistance of Sensing

Wenjing Wei;Xiaowei Pang;Xiaoqi Qin;Chengwen Xing;Nan Zhao;Dusit Niyato

2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2024 | Conference Paper |
In this paper, we investigate the sensing-assisted secure transmission for an integrated sensing and commu-nication (ISAC) system, where the semi-intelligent reflecting surface (IRS) is deployed to facilitate the secure communication and sensing. First, we adopt the multiple signal classification algorithm to estimate the target's direction with Cramér-Rao bound (CRB) serving as the performance me...Show More

Joint Beamforming Design for Semi-IRS-Aided Secure ISAC with Assistance of Sensing

Wenjing Wei;Xiaowei Pang;Xiaoqi Qin;Chengwen Xing;Nan Zhao;Dusit Niyato

Year: 2024 | Conference Paper |

Probe Selection Method Based on Context Channel Information for 5G MIMO OTA Testing in Dynamic Channel Environment

Ruichen Li;Nan Ma;Kaiheng Zhang;Xiaoqi Qin;Huigang Chang;Fengmin Tang

2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2024 | Conference Paper |
The multi-probe anechoic chamber (MPAC) method is widely regarded as the most promising for 5G multiple-input multiple-output (MIMO) dynamic channel over-the-air (OTA) testing. However, the probes used in the testing system is varying to reproduce the channel in a laboratory environment, which leads to a dramatic increase in the complexity of probe selection. In this paper, a concept of context ch...Show More

Probe Selection Method Based on Context Channel Information for 5G MIMO OTA Testing in Dynamic Channel Environment

Ruichen Li;Nan Ma;Kaiheng Zhang;Xiaoqi Qin;Huigang Chang;Fengmin Tang

Year: 2024 | Conference Paper |

VCOMP: An Efficient Probe Selection Method for 5G OTA Testing with MPAC Setup

Zhaoting Li;Nan Ma;Xiaoqi Qin;Huigang Chang;Nan Li

2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2024 | Conference Paper |
The multi-probe anechoic chamber (MPAC) method is considered the most promising approach for over-the-air (OTA) testing of 5G massive multiple-input multiple-output (MIMO) devices. Since the cost of the MPAC system is directly influenced by the number of ports on the channel emulator, which corresponds to the number of OTA probes, the selection of probes is crucial for OTA testing. However, the cl...Show More

VCOMP: An Efficient Probe Selection Method for 5G OTA Testing with MPAC Setup

Zhaoting Li;Nan Ma;Xiaoqi Qin;Huigang Chang;Nan Li

Year: 2024 | Conference Paper |

Security Enhancing for IRS-Aided NOMA Networks via Constructive Interference Precoding

Jingying Bao;Yang Cao;Xiaoqi Qin;Lexi Xu;Nan Zhao;Dusit Niyato

2024 IEEE 10th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)
Year: 2024 | Conference Paper |
In this paper, we propose a constructive interference precoding (CIP) enabled secure intelligent reflecting surface (IRS)-non-orthogonal multiple access (NOMA) scheme, lever-aging both the inter-user interference and artificial noise to boost the legitimate transmission of far user, while inducing the eavesdropper to decode the deceptive information. Based on this CIP-NOMA scheme, we minimize the ...Show More

Security Enhancing for IRS-Aided NOMA Networks via Constructive Interference Precoding

Jingying Bao;Yang Cao;Xiaoqi Qin;Lexi Xu;Nan Zhao;Dusit Niyato

Year: 2024 | Conference Paper |

Multicast Scheduling over Multiple Channels: A Distribution-Embedding Deep Reinforcement Learning Method

Ran Li;Chuan Huang;Xiaoqi Qin;Dong Yang;Xinyao Nie

IEEE Transactions on Mobile Computing
Year: 2024 | Early Access Article |
Multicasting is an efficient technique for simultaneously transmitting common messages from the base station (BS) to multiple mobile users (MUs). Multicast scheduling over multiple channels, which aims to jointly minimize the energy consumption of the BS and the latency of serving asynchronized requests from the MUs, is formulated as an infinite-horizon Markov decision process (MDP) problem with a...Show More

Multicast Scheduling over Multiple Channels: A Distribution-Embedding Deep Reinforcement Learning Method

Ran Li;Chuan Huang;Xiaoqi Qin;Dong Yang;Xinyao Nie

Year: 2024 | Early Access Article |

Rate-Distortion-Perception Controllable Joint Source-Channel Coding for High-Fidelity Generative Semantic Communications

Kailin Tan;Jincheng Dai;Zhenyu Liu;Sixian Wang;Xiaoqi Qin;Wenjun Xu;Kai Niu;Ping Zhang

IEEE Transactions on Cognitive Communications and Networking
Year: 2024 | Early Access Article |
End-to-end image transmission has recently become a crucial trend in intelligent wireless communications, driven by the increasing demand for high bandwidth efficiency. However, existing methods primarily optimize the trade-off between bandwidth cost and objective distortion, often failing to deliver visually pleasing results aligned with human perception. In this paper, we propose a novel rate-di...Show More

Rate-Distortion-Perception Controllable Joint Source-Channel Coding for High-Fidelity Generative Semantic Communications

Kailin Tan;Jincheng Dai;Zhenyu Liu;Sixian Wang;Xiaoqi Qin;Wenjun Xu;Kai Niu;Ping Zhang

Year: 2024 | Early Access Article |

Deep Learning-Based Grant-Free Massive Access with Age-of-Information Minimization

Zhongwen Sun;Wei Chen;Yuxuan Sun;Xiaoqi Qin;Tianwei Hou;Lun Li;Bo Ai

2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Existing studies in grant-free random access (GF-RA) for massive machine-type communications focus mainly on improving the accuracy of user detection and data recovery, treating all devices as equally important. However, in many emerging Internet of Things applications like smart city and smart agriculture, the information freshness becomes a major concern. In this paper, we concentrate on minimiz...Show More

Deep Learning-Based Grant-Free Massive Access with Age-of-Information Minimization

Zhongwen Sun;Wei Chen;Yuxuan Sun;Xiaoqi Qin;Tianwei Hou;Lun Li;Bo Ai

Year: 2024 | Conference Paper |

Joint Design for Cramér-Rao Bound and Secure Transmission in Semi-IRS Aided ISAC Systems

Wenjing Wei;Xiaowei Pang;Xiaoqi Qin;Shiqi Gong;Chengwen Xing;Nan Zhao;Dusit Niyato

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
We study a semi-passive intelligent reflecting surface (IRS) enabled ISAC, where IRS is employed to assist the secure communication and perform target sensing. Specifically, we model two types of targets, namely point targets and extended targets. The direction-of-arrival (DoA) of the former and the complete target response matrix of the latter should be estimated. We derive the Cramér-Rao bound (...Show More

Joint Design for Cramér-Rao Bound and Secure Transmission in Semi-IRS Aided ISAC Systems

Wenjing Wei;Xiaowei Pang;Xiaoqi Qin;Shiqi Gong;Chengwen Xing;Nan Zhao;Dusit Niyato

Year: 2024 | Conference Paper |

Privacy Preserving Quantum Search Mechanism Using Grover's Algorithm

Keyi Ju;Xiaoqi Qin;Hui Zhong;Xinyue Zhang;Miao Pan;Baoling Liu

2024 International Conference on Quantum Communications, Networking, and Computing (QCNC)
Year: 2024 | Conference Paper |
Quantum computing changes the way of solving complex problems and handling vast datasets. The introduction of quantum search algorithms, notably Grover's algorithm, addresses the inefficiencies of classical search methods in handling vast datasets by offering substantial speed improvements. However, an inherent aspect of quantum searches is their failure probability. This paper aims to explore the...Show More

Privacy Preserving Quantum Search Mechanism Using Grover's Algorithm

Keyi Ju;Xiaoqi Qin;Hui Zhong;Xinyue Zhang;Miao Pan;Baoling Liu

Year: 2024 | Conference Paper |

Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning

Keyi Ju;Xiaoqi Qin;Hui Zhong;Xinyue Zhang;Miao Pan;Baoling Liu

ICC 2024 - IEEE International Conference on Communications
Year: 2024 | Conference Paper |
Cited by: Papers (2)
Quantum computing revolutionizes the way of solving complex problems and handling vast datasets, which shows great potential to accelerate the machine learning process. However, data leakage in quantum machine learning (QML) may present privacy risks. Although differential privacy (DP), which protects privacy through the injection of artificial noise, is a well-established approach, its applicatio...Show More

Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning

Keyi Ju;Xiaoqi Qin;Hui Zhong;Xinyue Zhang;Miao Pan;Baoling Liu

Year: 2024 | Conference Paper |

AoI-Delay Tradeoff in Mobile Edge Caching: A Mixed-Order Drift-Plus-Penalty Method

Ran Li;Chuan Huang;Xiaoqi Qin;Lei Yang

ICC 2024 - IEEE International Conference on Communications
Year: 2024 | Conference Paper |
Mobile edge caching (MEC) is a promising technique to improve the quality of service (QoS) for mobile users (MU) by bringing data to the network edge. However, optimizing the crucial QoS aspects of message freshness and service promptness, measured by age of information (AoI) and service delay, respectively, entails a tradeoff due to their competition for shared edge resources. This paper investig...Show More

AoI-Delay Tradeoff in Mobile Edge Caching: A Mixed-Order Drift-Plus-Penalty Method

Ran Li;Chuan Huang;Xiaoqi Qin;Lei Yang

Year: 2024 | Conference Paper |

Efficient and Economical UAV-Facilitated Wireless Charging and Data Relay Trajectory Planning for WRSNs

Jiaxuan Li;Xilong Liu;Xiaoqi Qin

ICC 2024 - IEEE International Conference on Communications
Year: 2024 | Conference Paper |
With the significant progress in recent decades, wireless rechargeable sensor networks (WRSNs) have been widely deployed in smart cities, lakes, forests and other intelligent scenarios to perceive physical environment. To remotely power these sensor nodes (SNs), unmanned aerial vehicle (UAV) can provide far-field wireless charging by electromagnetic waves. Designing a trajectory for the UAV to “vi...Show More

Efficient and Economical UAV-Facilitated Wireless Charging and Data Relay Trajectory Planning for WRSNs

Jiaxuan Li;Xilong Liu;Xiaoqi Qin

Year: 2024 | Conference Paper |

Intellicise Wireless Networks From Semantic Communications: A Survey, Research Issues, and Challenges

Ping Zhang;Wenjun Xu;Yiming Liu;Xiaoqi Qin;Kai Niu;Shuguang Cui;Guangming Shi;Zhijin Qin;Xiaodong Xu;Fengyu Wang;Yue Meng;Chen Dong;Jincheng Dai;Qianqian Yang;Yaping Sun;Dahua Gao;Hui Gao;Shujun Han;Xiaodan Song

IEEE Communications Surveys & Tutorials
Year: 2024 | Early Access Article |
Information and communication technology (ICT) has been an essential part of modern society. However, the current communication systems are not sufficient to meet the demands of emerging applications. Intellicise (intelligent and concise) wireless networks, with their inherent characteristics of intelligence-endogenous and primitive-concise, have been proposed as a promising research direction. In...Show More

Intellicise Wireless Networks From Semantic Communications: A Survey, Research Issues, and Challenges

Ping Zhang;Wenjun Xu;Yiming Liu;Xiaoqi Qin;Kai Niu;Shuguang Cui;Guangming Shi;Zhijin Qin;Xiaodong Xu;Fengyu Wang;Yue Meng;Chen Dong;Jincheng Dai;Qianqian Yang;Yaping Sun;Dahua Gao;Hui Gao;Shujun Han;Xiaodan Song

Year: 2024 | Early Access Article |

Performance Analysis of MDMA-Based Cooperative MRC Green Networks with Relays in Dissimilar Rayleigh Fading Channels

Lei Teng;Wannian An;Chen Dong;Xiaoqi Qin;Xiaodong Xu

2024 IEEE International Conference on Communications Workshops (ICC Workshops)
Year: 2024 | Conference Paper |
From 1G to 5G, multiple access technology plays a critical role in the field of wireless communications. Among the potential multiple access technologies for future wireless communication networks, Model Division Multiple Access (MDMA) stands out due to its ability to enhance both spectrum efficiency and feasibility regions. In comparison to conventional schemes, the MDMA scheme offers superior pe...Show More

Performance Analysis of MDMA-Based Cooperative MRC Green Networks with Relays in Dissimilar Rayleigh Fading Channels

Lei Teng;Wannian An;Chen Dong;Xiaoqi Qin;Xiaodong Xu

Year: 2024 | Conference Paper |

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