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Optimized algorithm for balancing clusters in wireless sensor networks

Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第10期10卷 1404-1412页

作者： Mucheol kim sunhong kim Hyungjin BYUN School of Computer Science and Engineering Chung-Ang University 221Heuk seok-dongDongjak-guSeoul 156-756Korea

Wireless sensor networks consist of hundreds or thousands of sensor nodes that involve numerous restrictions in-cluding computation capability and battery *** control is an important issue for achieving a balanced placement of sensor *** clustering scheme is a widely known and efficient means of topology control for transmitting information to the base station in two *** automatic routing scheme of the self-organizing technique is another critical element of wireless sensor *** this paper we propose an optimal algorithm with cluster balance taken into consideration,and compare it with three well known and widely used approaches,i.e.,LEACH,MEER,and VAP-E,in performance *** results show that the proposed approach increases the overall network lifetime,indicating that the amount of energy required for com-munication to the base station will be reduced for locating an optimal cluster.

关键词： Wireless sensor networks Self-organizing sensor algorithm Clustering algorithm Optimization

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Magnetic nanoparticles for ferroptosis cancer therapy with diagnostic imaging

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Bioactive Materials 2024年第2期32卷 66-97页

作者： Min Jun Ko sunhong Min Hyunsik Hong Woojung Yoo Jinmyoung Joo Yu Shrike Zhang Heemin Kang Dong-Hyun kim Department of Radiology Feinberg School of MedicineNorthwestern UniversityChicagoIL60611USA Department of Materials Science and Engineering Korea UniversitySeoul02841Republic of Korea Department of Biomedical Engineering Ulsan National Institute of Science and Technology(UNIST)Ulsan44919Republic of Korea Division of Engineering in Medicine Department of MedicineBrigham and Women’s Hospital Harvard Medical SchoolCambridgeMA02139USA College of Medicine Korea UniversitySeoul02841Republic of Korea Department of Biomedical Engineering University of IllinoisChicagoIL60607USA Robert H.Lurie Comprehensive Cancer Center Northwestern UniversityChicagoIL60611USA Department of Biomedical Engineering McCormick School of EngineeringNorthwestern UniversityEvanstonIL60208USA

Ferroptosis offers a novel method for overcoming therapeutic resistance of cancers to conventional cancer treatment *** effective use as a cancer therapy requires a precisely targeted approach,which can be facilitated by using nanoparticles and nanomedicine,and their use to enhance ferroptosis is indeed a growing area of *** a few review papers have been published on iron-dependent mechanism and inducers of ferroptosis cancer therapy that partly covers ferroptosis nanoparticles,there is a need for a comprehensive review focusing on the design of magnetic nanoparticles that can typically supply iron ions to promote ferroptosis and simultaneously enable targeted ferroptosis cancer ***,magnetic nanoparticles can locally induce ferroptosis and combinational ferroptosis with diagnostic magnetic resonance imaging(MRI).The use of remotely controllable magnetic nanocarriers can offer highly effective localized image-guided ferroptosis cancer ***,recent developments in magnetically manipulable nanocarriers for ferroptosis cancer nanomedicine with medical imaging are *** review also highlights the advantages of current state-of-the-art image-guided ferroptosis cancer ***,image guided combinational ferroptosis cancer therapy with conventional apoptosis-based therapy that enables synergistic tumor therapy is discussed for clinical translations.

关键词： Magnetic nanoparticles Ferroptosis cancer therapy Diagnostic imaging Magnetic resonance imaging Synergistic cancer imaging and therapy

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