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Mitochondrial sensitive probe with aggregation-induced emission characteristics for early brain diagnosis of Parkinson’s disease
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作者 liwen huang Yutong Zhou +6 位作者 Di Jiao Jing Ren Yilin Qi Heping Wang Yang Shi Dan Ding Xue Xue 《Aggregate》 EI CAS 2024年第1期216-227,共12页
The early diagnosis of Parkinson’s disease(PD)provides opportunities for early intervention to slow the progression of neurological degeneration in patients,particularly as the aging population increases in our socie... The early diagnosis of Parkinson’s disease(PD)provides opportunities for early intervention to slow the progression of neurological degeneration in patients,particularly as the aging population increases in our society.Among a series of pathological features of PD,mitochondria abnormalities have been identified as central event that occurs at the early stage of PD.However,the method for detecting mitochondrial abnormalities-associated early PD has not been fully developed.We herein report a specifically mitochondrial targeting probe(named TPA-BT-SCP)that is able to characterize mitochondria abnormalities for early diagnosis of PD and monitor PD neurodegenerative progress.The probe is an aggregation-induced emission(AIE)probe with a strong positive charge,a 3D distorted molecular structure,and a separated HOMO-LUMO distribution,designed with unique molecular design guidelines.Our research demonstrated that TPA-BT-SCP could emit stable and strong fluorescence,and rapidly accumulate in mitochondria due to the negative charge.After intranasal administration of 1-methy-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP)-induced PD mice,TPA-BT-SCP successfully bypassed the blood−brain barrier to light up the brain,allowing the grading of PD severity based on its high sensitivity.Taken together,this work develops a novel AIE probe that exhibits dramatically high sensitivity to mitochondrial changes and enables noninvasive diagnosis of early PD in the brain. 展开更多
关键词 aggregation-induced emission early diagnosis Parkinson’s disease
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Nonlinear Discriminant Analysis Method Based on the Class Cover and Its Application
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作者 liwen huang 《Journal of Systems Science and Information》 CSCD 2023年第6期761-775,共15页
This paper introduces the related concepts of the hybrid spherical-shaped dataset and proposes a new discriminant analysis method based on the spherical-shaped dataset (SDAM), then SDAM is further improved by the idea... This paper introduces the related concepts of the hybrid spherical-shaped dataset and proposes a new discriminant analysis method based on the spherical-shaped dataset (SDAM), then SDAM is further improved by the idea of the class cover and presents the nonlinear discriminant analysis method (NDAM). To demonstrate the effectiveness of these two methods, this work constructs seven hybrid spherical-shaped datasets and uses nine UCI datasets. Numerical experiments on these examples indicate that SDAM can preferably solve the discriminant problem for the hybrid sphericalshaped dataset, but this method does not always work well for real datasets;NDAM overcomes the drawbacks of SDAM and better solves the discriminative problem of real datasets. Besides, it has better stability. 展开更多
关键词 nonlinear discriminant analysis discriminant rule class cover hybrid spherical-shaped dataset
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液氨卧罐液体实时连续泄漏建模及分析 被引量:3
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作者 何娟霞 周冬梅 +3 位作者 刘磊 周琪勇 黄丽文 姚健庭 《过程工程学报》 CAS CSCD 北大核心 2021年第6期731-740,共10页
基于范德瓦耳斯方程和流体力学理论,考虑液氨卧罐泄漏时罐压和液面面积变化,建立了液氨卧罐液体实时连续泄漏模型。利用模型对某制冷企业液氨卧罐进行数学模拟,并将计算结果与PHAST模拟结果进行对比分析。结果表明,液面高度h下降幅度先... 基于范德瓦耳斯方程和流体力学理论,考虑液氨卧罐泄漏时罐压和液面面积变化,建立了液氨卧罐液体实时连续泄漏模型。利用模型对某制冷企业液氨卧罐进行数学模拟,并将计算结果与PHAST模拟结果进行对比分析。结果表明,液面高度h下降幅度先减缓后变大,液体泄漏质量流率Qm和泄漏孔处液体泄漏速率v的下降幅度及泄漏液体质量m的增加幅度逐渐减缓。泄漏开始时,Qm和v值最大;泄漏停止时,m值最大。泄漏孔径为5,30和100 mm时,泄漏时间t为29884.027,837.289和77.550s,Qm(max)为0.552,19.913和221.160 kg/s,v(max)为46.733 m/s,m(max)为10255.649,10339.923和10572.760 kg。模型计算结果与PHAST模拟结果偏差小于24%,从参数变化规律和风险应急分析,模型对液氨卧罐液体泄漏理论计算具有一定适用性。 展开更多
关键词 范德瓦耳斯方程 液氨卧罐 连续泄漏 模型 数学模拟
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