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Storage reliability assessment model based on competition failure of multi-components in missile

Journal of Systems Engineering and Electronics 2017年第3期28卷 606-616页

作者： Yunxiang Chen Qiang Zhang Zhongyi Cai Lili Wang Equipment Management and Safety Engineering College Air Force Engineering UniversityXi’an 710051China Defense Technology Research Academy of China Aerospace Science and Industry Corporation Beijing 100854China

The degradation data of multi-components in missile is derived by periodical testing. How to use these data to assess the storage reliability (SR) of the whole missile is a difficult problem in current research. An SR assessment model based on competition failure of multi-components in missile is proposed. By analyzing the missile life profile and its storage failure feature, the key components in missile are obtained and the characteristics voltage is assumed to be its key performance parameter. When the voltage testing data of key components in missile are available, a state space model (SSM) is applied to obtain the whole missile degradation state, which is defined as the missile degradation degree (DD). A Wiener process with the time-scale model (TSM) is applied to build the degradation failure model with individual variability and nonlinearity. The Weibull distribution and proportional risk model are applied to build an outburst failure model with performance degradation effect. Furthermore, a competition failure model with the correlation between degradation failure and outburst failure is proposed. A numerical example with a set of missiles in storage is analyzed to demonstrate the accuracy and superiority of the proposed model.

关键词： competition failure model storage reliability (SR) missile degradation degree (DD) proportional risk model individual variability

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Functional Connectivity-Based Modelling Simulates SubjectSpecific Network Spreading Effects of Focal Brain Stimulation

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Neuroscience Bulletin 2018年第6期34卷 921-938页

作者： Xiaoyu Chen Chencheng Zhang Yuxin Li Pei Huang Qian Lv Wenwen Yu Shengdi Chen Bomin Sun Zheng Wang Institute of Neuroscience State Key Laboratory of NeuroscienceChinese Academy of Sciences Center for Excellence in Brain Science and Intelligence TechnologyShanghai Instittite for Biological SciencesChinese Academy of SciencesShanghai 200031China University of Chinese Academy of Sciences Beijing 100049China Department of Functional Neurosurgery Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China Department of Radiology Huashan HospitalFudan UniversityShanghai 200040China Department of Neurology Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China

Neurostimulation remarkably alleviates the symptoms in a variety of brain disorders by modulating the brain-wide network. However, how brain-wide effects on the direct and indirect pathways evoked by focal neurostimulation elicit therapeutic effects in an individual patient is unknown. Understanding this remains crucial for advancing neural circuit-based guidance to optimize candidate patient screening, pre-surgical target selection, and post-surgical parameter tuning. To address this issue, we propose a functional brain connectome-based modeling approach that simulates the spreading effects of stimulating different brain regions and quantifies the rectification of abnormal network topology in silico. We validated these analyses by pinpointing nuclei in the basal ganglia circuits as top-ranked targets for 43 local patients with Parkinson’s disease and 90 patients from a public database. individual connectome-based analysis demonstrated that the globus pallidus was the best choice for 21.1% and the subthalamic nucleus for 19.5% of patients. Down-regulation of functional connectivity(up to 12%) at these prioritized targets optimally maximized the therapeutic effects. Notably, the priority rank of the subthalamic nucleus significantly correlated with motor symptom severity(Unified Parkinson’s Disease Rating Scale III) in the local cohort. These findings underscore the potential of neural network modeling for advancing personalized brain stimulation therapy,and warrant future experimental investigation to validate its clinical utility.

关键词： Brain stimulation Functional connectivity Whole-brain modeling Parkinson's disease individual variability

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Orthokeratology for myopia control: an optometrist’s view

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Annals of Eye Science 2018年第1期3卷 110-118页

作者： Helen A.Swarbrick School of Optometry and Vision Science University of New South WalesSydneyAustralia

Orthokeratology(OK)is a clinical technique that uses reverse geometry design rigid contact lenses to reshape the corneal profile and modify its refractive power during overnight lens wear in order to correct refractive error *** achieves its reshaping effect through thinning of the central corneal *** raises concerns about the safety of this modality particularly in terms of microbial keratitis(MK).Since the mid 2000’s,with our increasing understanding of modifiable risk factors for MK in OK the prevalence of MK appears to have reduced *** is now clear that the relative risk of MK in overnight OK is equivalent to other modalities of contact lens wear,provided that safe practice is followed in terms of lens fitting,wear and *** OK was originally used predominantly for correction of low to moderate myopic refractive error,its use for myopia control have become more common in recent *** follows on from published clinical trials demonstrating an average of approximately 45%reduction in axial eye elongation when overnight OK is used in progressive myopic *** there is significant individual variability in efficacy,and one of the current challenges for OK in myopia control is to identify those children who will benefit most from this particular *** OK lens parameters to customise corneal reshaping for enhanced myopia control efficacy also remains a significant challenge for the future of this modality.

关键词： Orthokeratology myopia control myopia correction reverse geometry lenses microbial keratitis axial eye growth individual variability

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