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E674Q(Shanghai APP mutant),a novel amyloid precursor protein mutation,in familial late-onset Alzheimer's disease

Genes & Diseases 2024年第2期11卷 1022-1034页

作者： yongfang Zhang Xinyi xie Boyu Chen Lina Pan Jianping Li Wanbing Wang Jintao Wang Ran Tang Qiang Huang Xiaofen Chen Rujing Ren Zhentao Zhang Wei Fu Gang Wang Department of Neurology Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai 200025China Department of Pharmacology and Chemical Biology Shanghai Jiao Tong University School of MedicineShanghai 200025China Department of Medicinal Chemistry School of PharmacyFudan UniversityShanghai 201203China Department of Neurology Renmin Hospital of Wuhan UniversityWuhanHubei 430060China Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research Institute of NeuroscienceSchool of MedicineXiamen UniversityXiamenFujian 361102China Shenzhen Research Institute of Xiamen University ShenzhenGuangdong 518063China

Identified as the pathogenic genes of Alzheimer's disease(AD),APP,PSEN1,and PSEN2 mainly lead to early-onset AD,whose course is more aggressive,and atypical symptoms are more common than sporadic AD.Here,a novel missense mutation,APP E674Q(also named“Shanghai APP”),was detected in a Chinese index patient with typical late-onset AD(LOAD)who developed memory decline in his mid-70s.The results from neuroimaging were consistent with AD,where widespread amyloidβdeposition was demonstrated in 18 F-florbetapir Positron Emission Tomography(PET).APP E674Q is close to theβ-secretase cleavage site and the well-studied Swedish APP mutation(KM670/671NL),which was predicted to be pathogenic in silico.Molecular dynamics simulation indicated that the E674Q mutation resulted in a rearrangement of the interaction mode between APP and BACE1 and that the E674Q mutation was more prone to cleavage by BACE1.The in vitro results suggested that the E674Q mutation was pathogenic by facilitating the BACE1-mediated processing of APP and the production of Aβ.Furthermore,we applied an adeno-associated virus(AAV)-mediated transfer of the human E674Q mutant APP gene to the hippocampi of two-month-old C57Bl/6 J mice.AAV-E674Q-injected mice exhibited impaired learning behavior and increased pathological burden in the brain,implying that the E674Q mutation had a pathogenicity that bore a comparison with the classical Swedish mutation.Collectively,we report a strong amyloidogenic effect of the E674Q substitution in AD.To our knowledge,E674Q is the only pathogenic mutation within the amyloid processing sequence causing LOAD.

关键词： Alzheimer's disease Amyloid beta APP mutation E674Q Late onset

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Attention-based novel neural network for mixed frequency data

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CAAI Transactions on Intelligence Technology 2021年第3期6卷 301-311页

作者： Xiangpeng Li Hong Yu yongfang xie Jie Li Chongqing key Laboratory of Computational Intelligence Chongqing University of Posts and TelecommunicationsChongqingChina School of Information Science and Engineering Central South UniversityChangshaChina School of Metallurgy and Environment Central South UniversityChangshaChina

It is a common fact that data(features,characteristics or variables)are collected at different sampling frequencies in some fields such as economic and industry.The existing methods usually either ignore the difference from the different sampling frequencies or hardly take notice of the inherent temporal characteristics in mixed frequency data.The authors propose an innovative dual attention-based neural network for mixed frequency data(MID-DualAtt),in order to utilize the inherent temporal characteristics and select the input characteristics reasonably without losing information.According to the authors’knowledge,this is the first study to use the attention mechanism to process mixed fre-quency data.The MID-DualAtt model uses the frequency alignment method to trans-form the high--frequency variables into observation vectors at low frequency,and more critical input characteristics are selected for the current prediction index by attention mechanism.The temporal characteristics are explored by the encoder-decoder with attention based on long-short-term memory networks(LSTM).The proposed MID-DualAtt has been tested in practical application,and the experimental results show that it has better prediction ability than the compared models.

关键词： network decoder mixed

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Visual Perception-Based Fault Diagnosis in Froth Flotation Using Statistical Approaches

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Tsinghua Science and Technology 2021年第2期26卷 172-184页

作者： Jin Zhang Zhaohui Tang yongfang xie Mingxi Ai Weihua Gui School of Automation Central South UniversityChangsha 411083China

Froth flotation is an important mineral concentration technique.Faulty conditions in flotation processes may cause the huge waste of mineral resources and reagents,and consequently,may lead to deterioration in terms of benefits of flotation plants.In this paper,we propose a computer vision-aided fault detection and diagnosis approach for froth flotation.Specifically,a joint Gabor texture feature based on the Copula model is designed to describe froth images;a rejection sampling technique is developed to generate training sets from the quality distribution of real flotation products,and then an isolation forest-based fault detector is learned;and a fault diagnosis model based on spline regression is developed for root cause identification.Simulation experiments conducted on the historical industry data show that the proposed strategy has better performance than the alternative methods.Thereafter,the entire framework has been tested on a lead-zinc flotation plant in China.Experimental results have demonstrated the effectiveness of the proposed method.

关键词： fault diagnosis Gabor copula model isolation forest rejection sampling

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A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis cell condition

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Frontiers of Chemical Science and Engineering 2017年第3期11卷 414-428页

作者： Weichao Yue Xiaofang Chen Weihua Gui yongfang xie Hongliang Zhang School of Information Science and Engineering Central South University Changsha 410083 China School of Metallurgy and Environment Central South University Changsha 410083 China

Root cause analysis （RCA） of abnormal aluminum electrolysis cell condition has long been a challenging industrial issue due to its inherent complexity in analyzing based on multi-source knowledge. In addition, accurate RCA of abnormal aluminum electrolysis cell condition is the precondition of improving current efficiency. RCA of abnormal condition is a complex work of multi-source knowledge fusion, which is difficult to ensure the RCA accuracy of abnormal cell condition because of dwindling and frequent flow of experienced technicians. In view of this, a method based on Fuzzy- Bayesian network to construct multi-source knowledge solidification reasoning model is proposed. The method can effectively fuse and solidify the knowledge, which is used to analyze the cause of abnormal condition by technicians providing a clear and intuitive framework to this complex task, and also achieve the result of root cause automatically. The proposed method was verified under 20 sets of abnormal cell conditions, and implements root cause analysis by finding the abnormal state of root node, which has a maximum posterior probability by Bayesian diagnosis reasoning. The accuracy of the test results is up to 95%, which shows that the knowledge reasoning feasibility for RCA of aluminum electrolysis cell.

关键词： abnormal aluminum electrolysis cell condi- tion Fuzzy-Bayesian network multi-source knowledge solidification and reasoning root cause analysis

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A Data and Knowledge Collaboration Strategy for Decision-Making on the Amount of Aluminum Fluoride Addition Based on Augmented Fuzzy Cognitive Maps

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Engineering 2019年第6期5卷 1060-1076页

作者： Weichao Yue Weihua Gui Xiaofang Chen Zhaohui Zeng yongfang xie School of Information Science and Engineering Central South UniversityChangsha 410083China

In the aluminum reduction process, aluminum uoride (AlF3) is added to lower the liquidus temperature of the electrolyte and increase the electrolytic ef ciency. Making the decision on the amount of AlF3 addi- tion (referred to in this work as MDAAA) is a complex and knowledge-based task that must take into con- sideration a variety of interrelated functions;in practice, this decision-making step is performed manually. Due to technician subjectivity and the complexity of the aluminum reduction cell, it is dif cult to guarantee the accuracy of MDAAA based on knowledge-driven or data-driven methods alone. Existing strategies for MDAAA have dif culty covering these complex causalities. In this work, a data and knowl- edge collaboration strategy for MDAAA based on augmented fuzzy cognitive maps (FCMs) is proposed. In the proposed strategy, the fuzzy rules are extracted by extended fuzzy k-means (EFKM) and fuzzy deci- sion trees, which are used to amend the initial structure provided by experts. The state transition algo- rithm (STA) is introduced to detect weight matrices that lead the FCMs to desired steady states. This study then experimentally compares the proposed strategy with some existing research. The results of the comparison show that the speed of FCMs convergence into a stable region based on the STA using the proposed strategy is faster than when using the differential Hebbian learning (DHL), particle swarm optimization (PSO), or genetic algorithm (GA) strategies. In addition, the accuracy of MDAAA based on the proposed method is better than those based on other methods. Accordingly, this paper provides a feasible and effective strategy for MDAAA.

关键词： AlF3 addition Fuzzy cognitive maps Learning algorithms State transition algorithm Fuzzy decision trees

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DECENTRALIZED H_∞ SUBOPTIMAL DESIGN:AN LMI APPROACH

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Journal of Central South University 1999年第1期11卷 64-67页

作者： Weihua Gui yongfang xie Ning Chen Min Wu 1. College of Information Engineering Central South University of Technology 410083 Changsha China

ｉｎｃｅＺａｍｅｓｐｒｏｐｏｓｅｄｔｈｅＨ∞ｄｅｓｉｇｎｍｅｔｈｏｄｉｎ１９８１，Ｈ∞ｃｏｎｔｒｏｌｔｈｅｏｒｙｈａｓｂｅｃｏｍｅａｄｅｓｉｇｎｔｏｏｌｆｏｒｃｏｎｔｒｏｌｓｙｓｔｅｍ．Ｉｎｒｅｃｅｎｔｙｅａｒｓ，Ｄ... 详细信息

ｉｎｃｅＺａｍｅｓｐｒｏｐｏｓｅｄｔｈｅＨ∞ｄｅｓｉｇｎｍｅｔｈｏｄｉｎ１９８１，Ｈ∞ｃｏｎｔｒｏｌｔｈｅｏｒｙｈａｓｂｅｃｏｍｅａｄｅｓｉｇｎｔｏｏｌｆｏｒｃｏｎｔｒｏｌｓｙｓｔｅｍ．Ｉｎｒｅｃｅｎｔｙｅａｒｓ，Ｄｅｃｅｎｔｒａｌｉｚｅｄｃｏｎｔｒ...

关键词： decentralized robust control state feedback linear matrix inequalities iterative algorithm

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A Cell Condition-Sensitive Frequency Segmentation Method Based on the Sub-Band Instantaneous Energy Spectrum of Aluminum Electrolysis Cell Voltage

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Engineering 2021年第9期7卷 1282-1292页

作者： Zhaohui Zeng Weihua Gui Xiaofang Chen yongfang xie Hongliang Zhang Yubo Sun School of Automation Central South UniversityChangsha 410083China Key Laboratory of Intelligent Computing&Information Processing Ministry of EducationXiangtan UniversityXiangtan 411105China School of Metallurgy and Environment Central South UniversityChangsha 410083China

Cell voltage is a widely used signal that can be measured online from an industrial aluminum electrolysis cell.A variety of parameters for the analysis and control of industrial cells are calculated using the cell voltage.In this paper,the frequency segmentation of cell voltage is used as the basis for designing filters to obtain these parameters.Based on the qualitative analysis of the cell voltage,the sub-band instantaneous energy spectrum(SIEP)is first proposed,which is then used to quantitatively represent the characteristics of the designated frequency bands of the cell voltage under various cell conditions.Ultimately,a cell condition-sensitive frequency segmentation method is given.The proposed frequency segmentation method divides the effective frequency band into the[0,0.001]Hz band of lowfrequency signals and the[0.001,0.050]Hz band of low-frequency noise,and subdivides the lowfrequency noise into the[0.001,0.010]Hz band of metal pad abnormal rolling and the[0.01,0.05]Hz band of sub-low-frequency noise.Compared with the instantaneous energy spectrum based on empirical mode decomposition,the SIEP more finely represents the law of energy change with time in any designated frequency band within the effective frequency band of the cell voltage.The proposed frequency segmentation method is more sensitive to cell condition changes and can obtain more elaborate details of online cell condition information,thus providing a more reliable and accurate online basis for cell condition monitoring and control decisions.

关键词： Sub-band instantaneous energy spectrum Cell condition-sensitive frequency band Frequency segmentation Metal pad abnormal rolling Aluminum electrolysis

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广域电磁法在强干扰碳酸盐岩矿区的应用探索

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矿产勘查 2024年第6期15卷 1007-1014页

作者：李星张慧蒋永芳解康牛杰张婷云南冶金资源股份有限公司云南昆明650051 中铜矿产资源有限公司云南昆明650051 湖南省自然资源事务中心湖南长沙410000 湖南继善高科技有限公司湖南长沙410208 湖南省深地资源电磁法勘探工程技术研究中心湖南长沙410208

目前中国各成熟矿山大多面临浅部资源量不足的危机,对深部资源勘探的需求在不断增强。在实际勘探应用中,除了要进行大深度高精度探测,还要克服复杂地形与强电磁干扰的影响,因此对勘探技术提出了更高的要求。本文采用广域电磁法,在地形... 详细信息

目前中国各成熟矿山大多面临浅部资源量不足的危机,对深部资源勘探的需求在不断增强。在实际勘探应用中,除了要进行大深度高精度探测,还要克服复杂地形与强电磁干扰的影响,因此对勘探技术提出了更高的要求。本文采用广域电磁法,在地形复杂且电磁干扰严重的云南某碳酸盐岩矿区开展了应用探索研究。结果认为广域电磁法在复杂碳酸盐岩矿区能够有效地压制干扰,对断层和已知矿体反映明显。据此在矿区深部圈定了可能的矿致异常,为矿区深边部找矿提供了指示方向,在复杂地形强电磁干扰的碳酸盐岩矿区开展攻深找盲探矿工作,广域电磁法能够实现高精度大深度探测,抗干扰能力强,工作效率高,可作为一种深部找探矿的技术手段。

关键词：广域电磁法强电磁干扰碳酸盐岩矿区深部找矿

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Constrained voting extreme learning machine and its application

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Journal of Systems Engineering and Electronics 2021年第1期32卷 209-219页

作者： MIN Mengcan CHEN Xiaofang xie yongfang School of Automation Central South UniversityChangsha 410083China

Extreme learning machine(ELM)has been proved to be an effective pattern classification and regression learning mechanism by researchers.However,its good performance is based on a large number of hidden layer nodes.With the increase of the nodes in the hidden layers,the computation cost is greatly increased.In this paper,we propose a novel algorithm,named constrained voting extreme learning machine(CV-ELM).Compared with the traditional ELM,the CV-ELM determines the input weight and bias based on the differences of between-class samples.At the same time,to improve the accuracy of the proposed method,the voting selection is introduced.The proposed method is evaluated on public benchmark datasets.The experimental results show that the proposed algorithm is superior to the original ELM algorithm.Further,we apply the CV-ELM to the classification of superheat degree(SD)state in the aluminum electrolysis industry,and the recognition accuracy rate reaches87.4%,and the experimental results demonstrate that the proposed method is more robust than the existing state-of-the-art identification methods.

关键词： extreme learning machine(ELM) majority voting ensemble method sample based learning superheat degree(SD)

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2018—2023年某三甲医院心脏移植术后感染情况及相关危险因素分析

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实用临床医药杂志 2024年第6期28卷 104-107,112页

作者：郭琳琳解璐刘永芳李攀攀郭琳河南省郑州市第七人民医院心外科河南郑州450000

目的调查2018—2023年某三甲医院心脏移植(HT)术后感染情况,并探讨其危险因素。方法回顾性分析2018年1月—2023年7月行HT术的314例患者的临床资料,根据术后感染情况将其分为感染组和对照组,记录患者一般信息,对HT术后感染的可能影响... 详细信息

目的调查2018—2023年某三甲医院心脏移植(HT)术后感染情况,并探讨其危险因素。方法回顾性分析2018年1月—2023年7月行HT术的314例患者的临床资料,根据术后感染情况将其分为感染组和对照组,记录患者一般信息,对HT术后感染的可能影响因素进行单因素分析,并通过多因素Logistic回归分析筛查HT术后感染的危险因素。结果 91例(28.98%)患者术后发生感染,主要感染部位为呼吸道、血液。Logistic回归分析显示,HT术后感染发生的危险因素主要包括合并慢性肺部疾病、手术时间≥5 h、术后胸腔引流管留置时间长、术后尿管留置时间长、术后机械通气时间长、术前白蛋白(Alb)<35 g/L。结论合并慢性肺部疾病、手术时间≥5 h、术后胸腔引流管留置时间长、术后尿管留置时间长、术后机械通气时间长、术前Alb<35 g/L与HT术后感染发生有关,故应对患者上述因素进行积极干预,以降低感染风险。

关键词：心脏移植术感染危险因素手术时间机械通气

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