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6篇 您的检索式:作者名="Zixi Fang"
    题名 作者 年代 出处 被引量
1Joint Radar and Communication: A Survey显示文摘Joint radar and communication(JRC)technology has become important for civil and military applications for decades.This paper introduces the concepts,characteristics and advantages of JRC technology,presenting the typical applications that have benefited from JRC technology currently and in the future.This paper explores the state-of-the-art of JRC in the levels of coexistence,cooperation,co-design and collaboration.Compared to previous surveys,this paper reviews the entire trends that drive the development of radar sensing and wireless communication using JRC.Specifically,we explore an open research issue on radar and communication operating with mutual benefits based on collaboration,which represents the fourth stage of JRC evolution.This paper provides useful perspectives for future researches of JRC technology.Zhiyong Feng Zixi Fang Zhiqing Wei Xu Chen Zhi Quan Danna Ji 2020China Communications2020,17,1:19
2Chemical compound cinobufotalin potently induces FOXO1-stimulated cisplatin sensitivity by antagonizing its binding partner MYH9显示文摘In this study,we present novel molecular mechanisms by which FOXO1 functions as a tumor suppressor to prevent the pathogenesis of nasopharyngeal carcinoma(NPC).First,we observed that FOXO1 not only controlled tumor stemness and metastasis,but also sensitized NPC cells to cisplatin(DDP)in vitro and in vivo.Mechanistic studies demonstrated that FOXO1-induced miR-200b expression through the GSK3β/β-catenin/TCF4 network-mediated stimulation of ZEB1,which reduced tumor stemness and the epithelial–mesenchymal transition(EMT)signal.Furthermore,we observed FOXO1 interaction with MYH9 and suppression of MYH9 expression by modulating the PI3K/AKT/c-Myc/P53/miR-133a-3p pathway.Decreased MYH9 expression not only reduced its interactions with GSK3β,but also attenuated TRAF6 expression,which then decreased the ubiquitin-mediated degradation of GSK3βprotein.Increased GSK3βexpression stimulated theβ-catenin/TCF4/ZEB1/miR-200b network,which increased the downstream tumor stemness and EMT signals.Subsequently,we observed that chemically synthesized cinobufotalin(CB)strongly increased FOXO1-induced DDP chemosensitivity by reducing MYH9 expression,and the reduction in MYH9 modulated GSK3β/β-catenin and its downstream tumor stemness and EMT signal in NPC.In clinical samples,the combination of low FOXO1 expression and high MYH9 expression indicated the worst overall survival rates.Our studies demonstrated that CB potently induced FOXO1-mediated DDP sensitivity by antagonizing its binding partner MYH9 to modulate tumor stemness in NPC.YongHao Li Xiong Liu Xian Lin Menyang Zhao Yanyi Xiao Chen Liu Zixi Liang Zelong Lin Renhui Yi Zibo Tang Jiahao Liu Xin Li Qingping Jiang Libo Li Yinyin Xie Zhen Liu Weiyi Fang 2019Signal Transduction and Targeted Therapy2019,4,1:6
3High‑Efciency g‑C_(3)N_(4) Based Photocatalysts for CO_(2) Reduction:Modifcation Methods显示文摘Photocatalysis is an efective means to solve the greenhouse efect caused by the large amount of carbon dioxide(CO_(2))emissions from fossil fuel consumption.Graphitic carbon nitride(g-C_(3)N_(4))has the advantages of suitable band gap,easy preparation,low price,and good stability,making it a promising semiconductor photocatalyst.However,bulk g-C3N4 also has disadvantages such as low gas adsorption,low photocatalytic efciency,narrow spectral response,and easy recombination of electron–hole pairs.The modifcation method based on g-C_(3)N_(4) photocatalyst helps to improve the above-mentioned problems.This review summarizes the research progress in recent years from four aspects:morphology adjustment,co-catalysts,heterostructures and doping.Each aspect includes the pros and cons of diferent improvement methods,the comparison of theoretical calculations and experimental results,the application of diferent characterization methods,and the detailed listing of product yield and selectivity.Prior to this,there was an explanation of the basic theory of semiconductor photocatalytic CO_(2) reduction.Finally,the future challenges and development prospects are also briefy prospected.Qingtong Wang Zixi Fang Wang Zhang Di Zhang 2022Advanced Fiber Materials2022,4,3:2
4Closer:Scalable Load Balancing Mechanism for Cloud Datacenters显示文摘Cloud providers(e.g.,Google,Alibaba,Amazon)own large-scale datacenter networks that comprise thousands of switches and links.A loadbalancing mechanism is supposed to effectively utilize the bisection bandwidth.Both Equal-Cost Multi-Path(ECMP),the canonical solution in practice,and alternatives come with performance limitations or significant deployment challenges.In this work,we propose Closer,a scalable load balancing mechanism for cloud datacenters.Closer complies with the evaluation of technology including the deployment of Clos-based topologies,overlays for network virtualization,and virtual machine(VM)clusters.We decouple the system into centralized route calculation and distributed route decision to guarantee its flexibility and stability in large-scale networks.Leveraging In-band Network Telemetry(INT)to obtain precise link state information,a simple but efficient algorithm implements a weighted ECMP at the edge of fabric,which enables Closer to proactively map the flows to the appropriate path and avoid the excessive congestion of a single link.Closer achieves 2 to 7 times better flow completion time(FCT)at 70%network load than existing schemes that work with same hardware environment.Zixi Cui Pengshuai Cui Yuxiang Hu Julong Lan Fang Dong Yunjie Gu Saifeng Hou 2021China Communications2021,18,4:0
5VPS33B suppresses lung adenocarcinoma metastasis and chemoresistance to cisplatin显示文摘The presence of VPS33B in tumors has rarely been reported.Downregulated VPS33B protein expression is an unfavorable factor that promotes the pathogenesis of lung adenocar-cinoma(LUAD).Overexpressed VPS33B was shown to reduce the migration,invasion,metas-tasis,and chemoresistance of LUAD cells to cisplatin(DDP)in vivo and in vitro.Mechanistic analyses have indicated that VPS33B first suppresses epidermal growth factor receptor(EGFR)Ras/ERK signaling,which further reduces the expression of the oncogenic factor C-Myc.Down-regulated c-Myc expression reduces the rate at which it binds the p53 promoter and weakens its transcription inhibition;therefore,decreased C-Myc stimulates p53 expression,leading to decreased epithelial-to-mesenchymal transition(EMT)signal.NESG1 has been shown to be an unfavorable indicator of non-small-cell lung cancer(NSCLC).Here,NESG1 Was identified as an interactive protein of VPS33B.In addition,NESG1 was found to exhibit mutual stimulation with VPS33B via reduced RAS/ERK/c-Jun-mediated transcription repression.Knockdown of NESG1 activated EGFR/Ras/ERK/c-Myc signaling and further downregulated p53 expression,which thus activated EMT signaling and promoted LUAD migration and invasion.Finally,we observed that nicotine suppressed VPS33B expression by inducing PI3K/AKT/c-Jun-mediated transcription suppression.Our study demonstrates that VPS33B as a tumor suppressor is signif-icantly involved in the pathogenesis of LUAD.Zhen Liu Jiahao Liu Yang Li Hao Wang Zixi Liang Xiaojie Deng Qiaofen Fu Weiyi Fang Ping Xu 2021Genes & Diseases2021,8,3:0
6An improved transfer learning strategy for short-term cross-building energy prediction usingdata incremental显示文摘The available modelling data shortage issue makes it difficult to guarantee the performance of data-driven building energy prediction(BEP)models for both the newly built buildings and existing information-poor buildings.Both knowledge transfer learning(KTL)and data incremental learning(DIL)can address the data shortage issue of such buildings.For new building scenarios with continuous data accumulation,the performance of BEP models has not been fully investigated considering the data accumulation dynamics.DIL,which can learn dynamic features from accumulated data adapting to the developing trend of new building time-series data and extend BEP model's knowledge,has been rarely studied.Previous studies have shown that the performance of KTL models trained with fixed data can be further improved in scenarios with dynamically changing data.Hence,this study proposes an improved transfer learning cross-BEP strategy continuously updated using the coarse data incremental(CDI)manner.The hybrid KTL-DIL strategy(LSTM-DANN-CDI)uses domain adversarial neural network(DANN)for KLT and long short-term memory(LSTM)as the Baseline BEP model.Performance evaluation is conducted to systematically qualify the effectiveness and applicability of KTL and improved KTL-DIL.Real-world data from six-type 36 buildings of six types are adopted to evaluate the performance of KTL and KTL-DIL in data-driven BEP tasks considering factors like the model increment time interval,the available target and source building data volumes.Compared with LSTM,results indicate that KTL(LSTM-DANN)and the proposed KTL-DIL(LSTM-DANN-CDI)can significantly improve the BEP performance for new buildings with limited data.Compared with the pure KTL strategy LSTM-DANN,the improved KTL-DIL strategy LSTM-DANN-CDI has better prediction performance with an average performance improvement ratio of 60%.Guannan Li Yubei Wu Chengchu Yan Xi Fang Tao Li Jiajia Gao Chengliang Xu Zixi Wang 2024Building Simulation2024,17,1:0
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