Liangyu Chen

Lipidization of gelsemine facilitates its cellular uptake and anti-tumor activity

Zhiwei Wang, Xingjun Xu, Hui Wen, Han Zhou et autres

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Design, synthesis and biological evaluation of novel β-caryophyllene derivatives as potential anti-cancer agents through the ROS-mediated apoptosis pathway

Zhiwei Wang, Yang Chen, Hui Wen, Yetian Wu et autres

studies revealed the significant antitumor and DNA damage activity of AC-7 in a nude mouse model. These findings suggest that AC-7 is a promising candidate for anti-CRC therapy, acting through the ROS-mediated apoptosis pathway.

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The Effects of Gamification Affordance on Green Product Purchase Intent Focusing on the Moderating Effect of ESG Management

Liangyu Chen, Chunhua Jin

본 연구에서는 게미피케이션 어포던스에 초점을 맞춰 그 중요성을 강조함과 동시에 게미피케이션 어포 던스가 그린제품 구매의도에 미치는 영향에서 ESG경영의 조절효과를 검증하였다. 이를 검증하기 위해 적극적 으로 친환경화동을 포함한 공익활동을 전개하는 알리페이 이용자를 대상으로 설문조사를 진행하여 SPSS 26.0 통계프로그램을 사용하여 실증분석을 하였다. 연구 결과, …

Flight short-term booking demand forecasting based on a long short-term memory network

Haonan He, Liangyu Chen, Shanyong Wang

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Deep Reinforcement Learning for RIS-Aided Secure Mobile Edge Computing in Industrial Internet of Things

Jianpeng Xu, A. Xu, Liangyu Chen, Yali Chen et autres

Mobile edge computing (MEC) has been regarded as a promising paradigm to support the compute-intensive and delay-sensitive industrial Internet of things (IIoT) applications. However, the nature of broadcasting in wireless communications may cause that the task offloading security is easy to be …

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Joint trajectory-resource optimization for UAV-enabled uplink communication networks with wireless backhaul

Bo Hu, Liangyu Chen, Shanzhi Chen

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Review of Flight Demand Forecasting Methods

Liangyu Chen, SuiXiang Gao

随着我国民航市场规模的快速增长，民航业面临日益激烈的竞争。引入科学有效的收益管理系统是各大航空公司应对激烈竞争的有效手段。航班需求预测是收益管理系统进行动态定价和舱位优化等工作的基础，对于改善民航企业运营、提高竞争力具有重要意义。本文对民航企业航班需求预测方法的研究现状进行综述，介绍了收益管理的概念及其对民航企业的意义，从传统时间序列分析预测、非传统的时间序列分析预测和基于机器学习的预测三个方面分类梳理了民航航班需求预测的研究现状和主要方法，并对航班需求预测的发展趋势和研究方向进行了展望。

Design and Implementation of a Redundant Transmission Technique for Ultra-Reliable Communication in 5G Core Networks

Liangyu Chen, Chien Chen, Jyh‐Cheng Chen, Pei-Yu Ho et autres

In order to provide an industry-grade 5G Private Network (PN) to the enterprises, the ultra-reliability communication becomes a key feature to successfully deploy 5G PNs for the future industry 4.0 applications. This paper article will use the free5GC, which is the world's …

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Deep Reinforcement Learning for Computation and Communication Resource Allocation in Multiaccess MEC Assisted Railway IoT Networks

Jianpeng Xu, Bo Ai, Liangyu Chen, Yaping Cui et autres

Multi-access mobile edge computing (MEC) is envisioned as a key enabling technology to support compute-intensive and delay-sensitive applications in railway Internet of Things (RIoT) networks. However, the time-varying channel variations in RIoT scenarios make it challenging to achieve efficient resource allocation. The …

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The Path Towards Realistic ASIC Electronics Deployment Into Previously Impractical Extreme Application Environments

Philip G. Neudeck, David J. Spry, Michael J. Krasowski, Liangyu Chen

Substantial expansion of the practical environmental envelope for integrated circuit (IC) operation offers important benefits to a variety of automotive, aerospace, deep-well drilling, and manufacturing applications [1]. ICs that can reliably operate for long time periods (years) in a harsh environment without …

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Deep Reinforcement Learning for Communication and Computing Resource Allocation in RIS Aided MEC Networks

Jianpeng Xu, Bo Ai, Liangyu Chen, Lina Wu

In this paper, we apply reconfigurable intelligent surface (RIS) technique to aid the computation offloading of mobile edge computing (MEC) network and investigate how it can be exploited to reduce computation offloading delay. In order to minimize the long-term computation offloading delay, …

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An Uplink Throughput Optimization Scheme for UAV-Enabled Urban Emergency Communications

Bo Hu, Wang Lei, Shanzhi Chen, Jian Ming Cui et autres

Integrating unmanned aerial vehicles (UAVs) into emergency communications is a promising way to accomplish efficient network recovery with the advantages of UAV flexibility. To ensure information forwarding from the disaster area, this article considers an emergency communication scenario where a UAV provides …

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