检索结果-南通市图书馆

铜稳态失调在肌萎缩侧索硬化发病机制中的研究进展

在线全文

学校读者我要写书评

暂无评论

中风与神经疾病杂志 2024年第4期41卷 381-384页

作者：张莹色瑶(综述) 姜宏佺(审校) 哈尔滨医科大学附属第一医院神经内科黑龙江哈尔滨150001

铜对维持细胞的正常代谢功能至关重要,参与细胞中多种生理过程,包括细胞呼吸、神经肽加工和铁运输等,维持铜稳态具有重要意义。在中枢神经系统中,铜稳态参与突触功能调节及髓鞘形成过程等,铜稳态失调与多种神经退行性疾病的发生密切相关... 详细信息

铜对维持细胞的正常代谢功能至关重要,参与细胞中多种生理过程,包括细胞呼吸、神经肽加工和铁运输等,维持铜稳态具有重要意义。在中枢神经系统中,铜稳态参与突触功能调节及髓鞘形成过程等,铜稳态失调与多种神经退行性疾病的发生密切相关,近年研究表明,铜转运ATP酶α(ATP7A)突变后导致的铜稳态失调,可能导致了肌萎缩侧索硬化(ALS)的发生发展。本文通过综述铜稳态失调在ALS发病机制的研究进展,提出了维持铜稳态可能为ALS治疗提供新靶点的展望。

关键词：肌萎缩侧索硬化铜稳态铜转运ATP酶α

融合设备状态和产品要求的电解铜箔制造工艺参数优化

同方期刊数据库博看期刊评论

在线全文

学校读者我要写书评

暂无评论

西安交通大学学报 2024年第7期58卷 179-190页

作者：姜洪权黄开程周智苗东陈富民高建民杨祥魁朱义刚西安交通大学机械制造系统工程国家重点实验室西安710049 西安泰金新能科技股份有限公司西安710001 山东金宝电子有限公司山东招远265400

针对当前电解铜箔制造工艺参数的优化仅考虑产品要求的问题,提出了一种融合设备状态和产品要求的电解铜箔制造工艺参数优化方法。首先,为辨识铜箔制造中工艺、设备与产品参数之间的非线性关系,建立了基于神经网络的“工艺-设备”与产品... 详细信息

针对当前电解铜箔制造工艺参数的优化仅考虑产品要求的问题,提出了一种融合设备状态和产品要求的电解铜箔制造工艺参数优化方法。首先,为辨识铜箔制造中工艺、设备与产品参数之间的非线性关系,建立了基于神经网络的“工艺-设备”与产品参数的映射模型,并通过构建当前生产模式与历史生产模式的相似性度量方法,确定当前工艺参数的优化初始点;然后,基于所建立的映射模型、设备状态和产品要求构建多目标约束函数,并利用遗传算法优化工艺参数,获得同时满足设备状态和产品要求的最佳工艺参数。企业的生产验证表明:相较于仅考虑产品要求的工艺优化方法,所提方法优化后的工艺参数能在相同的设备状态下获得质量更好的产品,在常温/高温抗拉强度、常温/高温延伸率和树脂剥离强度这5项关键指标上,分别提升了6.1 MPa、6.1 MPa、1.9%、0.7%和0.22 N/mm,生箔制备和表面处理的生产效率也提高了2.65%和7.5%,能够有效保证并提高铜箔的质量和生产效益。

关键词：电解铜箔设备状态产品要求多目标约束工艺优化

高强极薄铜箔制造过程的质量管控要素及常见质量问题的应对分析

在线全文

学校读者我要写书评

暂无评论

电镀与精饰 2024年第4期46卷 66-73页

作者：黄开程杨祥魁姜洪权周智陈富民高建民程虎跃朱义刚西安交通大学机械制造系统工程国家重点实验室陕西西安710049 山东金宝电子有限公司山东招远265400

随着电子产品的小型化、轻薄化,对电解铜箔的厚度和性能都提出了更高的要求,厚度更薄且综合性能更强的高强极薄铜箔的研发及产业化生产已经成为我国亟需解决的重要问题。由于高强极薄铜箔的制造过程复杂且耦合性强,产品质量控制因素多... 详细信息

随着电子产品的小型化、轻薄化,对电解铜箔的厚度和性能都提出了更高的要求,厚度更薄且综合性能更强的高强极薄铜箔的研发及产业化生产已经成为我国亟需解决的重要问题。由于高强极薄铜箔的制造过程复杂且耦合性强,产品质量控制因素多且质量问题影响因素复杂,制造过程的质量稳定性控制已成为制约高强极薄铜箔产业化生产的主要瓶颈问题。因此,以电解式高强极薄铜箔制造过程为主线,对各阶段产品的质量管控要素、质量管控方式以及常见质量问题的应对方法进行了系统的分析和探讨,致力于形成系统化的领域专家经验知识,为高强极薄铜箔制造过程的质量控制及量化稳定生产提供解决对策。

关键词：高强极薄铜箔制造过程质量管控质量问题

A Two-Level Detection Algorithm for Optical Fiber Vibration

在线全文

学校读者我要写书评

暂无评论

Photonic Sensors 2015年第3期5卷 284-288页

作者： Fukun BI Xuecong REN hongquan QU Ruiqing jiang College of lnformation Engineering North China University of Technology Beijing 100144 China

Optical fiber vibration is detected by the coherent optical time domain reflection technique. In addition to the vibration signals, the reflected signals include clutters and noises, which lead to a high false alarm rate. The ＂cell averaging＂ constant false alarm rate algorithm has a high computing speed, but its detection performance will be declined in nonhomogeneous environments such as multiple targets. The ＂order statistics＂ constant false alarm rate algorithm has a distinct advantage in multiple target environments, but it has a lower computing speed. An intelligent two-level detection algorithm is presented based on ＂cell averaging＂ constant false alarm rate and ＂order statistics＂ constant false alarm rate which work in serial way, and the detection speed of ＂cell averaging＂ constant false alarm rate and performance of ＂order statistics＂ constant false alarm rate are conserved, respectively. Through the adaptive selection, the ＂cell averaging＂ is applied in homogeneous environments, and the two-level detection algorithm is employed in nonhomogeneous environments. Our Monte Carlo simulation results demonstrate that considering different signal noise ratios, the proposed algorithm gives better detection probability than that of ＂order statistics＂.

关键词： Optical fiber vibration the adaptive selection Monte Carlo simulation two-level detection

Complex network theory-based condition recognition of electromechanical system in process industry

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

中国科学：技术科学英文版 2016年第4期59卷 604-617页

作者： WANG RongXi GAO JianMin GAO ZhiYong GAO Xu jiang hongquan State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University

In order to recognize the different operating conditions of a distributed and complex electromechanical system in the process industry,this work proposed a novel method of condition recognition by combining complex network theory with phase space reconstruction.First,a condition-space with complete information was reconstructed based on phase space reconstruction,and each condition in the space was transformed into a node of a complex network.Second,the limited penetrable visibility graph method was applied to establish an undirected and un-weighted complex network for the reconstructed condition-space.Finally,the statistical properties of this network were calculated to recognize the different operating conditions.A case study of a real chemical plant was conducted to illustrate the analysis and application processes of the proposed method.The results showed that the method could effectively recognize the different conditions of electromechanical systems.A complex electromechanical system can be studied from the systematic and cyber perspectives,and the relationship between the network structure property and the system condition can also be analyzed by utilizing the proposed method.

关键词：复杂网络理论机电系统状态识别过程工业状态空间重构相空间重构操作条件完全信息

Coupling analysis-based false monitoring information identification of production system in process industry

在线全文

学校读者我要写书评

暂无评论

Science China(Technological Sciences) 2017年第6期60卷 807-817页

作者： GAO ZhiYong WANG RongXi jiang hongquan GAO JianMin DONG RongGuang State Key Laboratory for Manufacturing Systems Engineering Xi 'an Jiaotong University Xi 'an 710049 China

False monitoring information is a major problem in process production system and several ineffective methods have been proposed to identify false monitoring information in the production system. In this paper, a new method is proposed to identify false monitoring information based on system coupling analysis and collision detection from the perspective of data analysis. Coupling multifractal features are extracted to reflect the changes in coupling relationship by utilizing the multifractal detrended cross-correlation analysis (MF-DXA). Each monitoring variable in process production system has more than one coupled variable, which can be regarded as multi-source. To achieve low redundancy in features and uniform description of coupling relationship, the feature level information fusion is studied based on modified Mahalanobis Taguchi system (MTS). False alarms are identified when the coupling relationships among the coupled monitoring variables collide. Analysis results of coupled R?ssler and Henon datasets indicate the feasibility of this method for selecting the effective coupling feature and uniform description of coupling relationship. The compressor system case of Coal Chemical Ltd. Group is studied and false monitoring information is identified.

关键词：工业生产系统耦合分析监测信息信息识别耦合关系分形特征信息融合方法多重分形

小胶质细胞极化在肌萎缩侧索硬化发病中的作用研究进展

在线全文

学校读者我要写书评

暂无评论

中国神经免疫学和神经病学杂志 2023年第1期30卷 60-64页

作者：董鑫宇姜宏佺哈尔滨医科大学附属第一医院神经内科 150001

肌萎缩侧索硬化(amyotrophic lateral sclerosis,ALS)是一种神经系统慢性进行性变性疾病,其病因及发病机制仍不明确。越来越多证据表明,免疫异常及神经炎症与ALS的发病密切相关,其中小胶质细胞的极化作为神经炎症研究重要组成部分,其与... 详细信息

肌萎缩侧索硬化(amyotrophic lateral sclerosis,ALS)是一种神经系统慢性进行性变性疾病,其病因及发病机制仍不明确。越来越多证据表明,免疫异常及神经炎症与ALS的发病密切相关,其中小胶质细胞的极化作为神经炎症研究重要组成部分,其与ALS发病及进展密切相关,深入研究小胶质细胞极化在ALS中的作用机制可能为ALS的临床诊断、靶向干预治疗提供线索和思路。现就小胶质细胞极化在ALS发病中的作用研究进展进行综述。

关键词：肌萎缩侧索硬化小胶质细胞极化神经炎症

反义寡核苷酸技术治疗肌萎缩侧索硬化研究进展

在线全文

学校读者我要写书评

暂无评论

中国神经精神疾病杂志 2023年第5期49卷 291-295页

作者：何中慧张莹姜宏佺哈尔滨医科大学附属第一医院神经内科哈尔滨150001

肌萎缩侧索硬化(amyotrophic lateral sclerosis,ALS)尚无有效的治疗方法,目前已经发现多个致病基因以及修饰基因可导致ALS。反义寡核苷酸(antisense oligonucleotides,ASOs)是可以调节目的mRNA的分子工具,可以针对ALS的突变基因进行治... 详细信息

肌萎缩侧索硬化(amyotrophic lateral sclerosis,ALS)尚无有效的治疗方法,目前已经发现多个致病基因以及修饰基因可导致ALS。反义寡核苷酸(antisense oligonucleotides,ASOs)是可以调节目的mRNA的分子工具,可以针对ALS的突变基因进行治疗。本文综述ASOs在ALS治疗中研究进展,从治疗机制、研究情况等方面进行总结,目前针对超氧化物歧化酶基因1(superoxide dismutase 1,SOD1)、反式激活反应-DNA-结合蛋白(transactive response DNA binding protein,TARDBP)、9号染色体开放阅读框72(chromosome 9 open reading frame 72,C9ORF72)、肉瘤融合基因(fused in sarcoma,FUS)的ASOs在动物实验中得到其有效的结果,多项临床试验正在进行,但在药物体内分布、药物用量把控、ALS不同类型适用性等方面的问题尚待解决,以研制出减缓疾病进展且副作用小的ASOs。

关键词：肌萎缩侧索硬化反义寡核苷酸基因治疗鞘内注射超氧化物歧化酶1 9号染色体开放阅读框72 反式激活反应-DNA-结合蛋白肉瘤融合基因

Synergetic effects of lanthanum,nitrogen and phosphorus tri-doping on visiblelight photoactivity of TiO_2 fabricated by microwave-hydrothermal process

在线全文

学校读者我要写书评

暂无评论

Journal of Rare Earths 2016年第6期34卷 604-613页

作者：姜洪泉刘彦铎李井申王海燕 Key Laboratory of Design and Synthesis of Functional Materials and Green Catalysis Colleges of Heilongjiang Province.Harbin Normal UniversityHarbin150025China

Effects of La, N, and P doping on the structural, electronic and optical properties of TiO_2 synthesized from TiCl_4 hydrolysis via a microwave-hydrothermal process were investigated by X-ray diffraction, transmission electron microscopy, N_2 adsorption-desorption isotherm, X-ray photoelectron spectroscopy, electron paramagnetic resonance, UV-vis absorbance spectroscopy, photoelectrochemical measurements, and photoluminescence spectroscopy. The results showed that the presence of La in the tri-doped TiO_2 played a predominant role in inhibiting the recombination of the photogenerated electrons and holes. The existence of the substitutional N, interstitial N, and oxygen vacancies in TiO_2 lattices led to the band gap narrowing. It was P-doping rather than La or N doping that played a key role in inhibiting both anatase-to-rutile phase transformation and crystal growth, in stabilizing the mesoporous textural properties, and in increasing the content of surface bridging hydroxyl. Moreover, the tri-doping significantly enhanced the surface Ti^（4＋）-O^（2-）-Ti^（4＋）-O^（-·） species. All above-mentioned factors cooperated to result in the enhanced photoactivity of the tri-doped TiO_2. As a result, it exhibited the highest photoactivity towards the degradation of 4-chlorophenol（4-CP） under visible-light irradiation among all samples, which was much superior to commercial P25 TiO_2.

关键词： TiO_2 tri-doping microwave-hydrothermal visible-light photoactivity synergetic effect rare earths