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基于属性核的遗传约简算法

计算机科学 2004年第7期31卷 185-187页

作者：郭平刘潭仁刘然贺琼重庆大学计算机学院重庆400044

属性最小约简是NP完全问题,该问题的研究一直被关注。如,以不可分辨矩阵为基础的传统约简方法,基于属性重要性的约简方法等等,这些方法对于大数据集都是不实用的。文[8]提出了以遗传算法全局搜寻能力为基础的属性约简方法,文[3]通过引... 详细信息

属性最小约简是NP完全问题,该问题的研究一直被关注。如,以不可分辨矩阵为基础的传统约简方法,基于属性重要性的约简方法等等,这些方法对于大数据集都是不实用的。文[8]提出了以遗传算法全局搜寻能力为基础的属性约简方法,文[3]通过引进属性依赖启发信息改进了文[8]中的方法。本文中,先给出了一个时间复杂度为O(k×n×log n),空间复杂度为O(n)的核属性判别方法。然后,以此为基础给出了较文[3]和文[8]中更有效的遗传粗糙约简算法。

关键词：属性核粗糙集理论属性约简遗传算法

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Ag/TCNQ纳米双层膜中传质规律研究

物理学报 2004年第11期53卷 3849-3852页

作者：谢亨博蒋益明郭峰刘平李劲复旦大学材料科学系上海200433

采用真空蒸发的方法在玻璃基板上交替蒸发Ag和TCNQ ,形成不同厚度的双层膜 .利用透射光谱作为表征 ,研究了双层膜中的传质规律 .发现超薄膜情况时的异常加速传质现象。

关键词：双层膜 TCNQ 超薄膜透射光谱表征隧穿真空蒸发玻璃基板厚度纳米

Reducing the measurement errors in nonadiabatic holonomic quantum computers

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 64-70页

作者： guo-Fu Xu Department of Physics Shandong University

Nonadiabatic holonomic quantum computers serve as the physical platform for nonadiabatic holonomic quantum *** quantum computation has entered the noisy intermediate-scale era, building accurate intermediate-scale nonadiabatic holonomic quantum computers is clearly necessary. Given that measurements are the sole means of extracting information, they play an indispensable role in nonadiabatic holonomic quantum computers. Accordingly, developing methods to reduce measurement errors in nonadiabatic holonomic quantum computers is of great importance. However, while much attention has been given to the research on nonadiabatic holonomic gates, the research on reducing measurement errors in nonadiabatic holonomic quantum computers is severely lacking. In this study, we propose a measurement error reduction method tailored for intermediate-scale nonadiabatic holonomic quantum computers. The reason we say this is because our method can not only reduce the measurement errors in the computer but also be useful in mitigating errors originating from nonadiabatic holonomic gates. Given these features,our method significantly advances the construction of accurate intermediate-scale nonadiabatic holonomic quantum computers.

关键词： quantum holonomy quantum computation measurement errors

Advances in Graphene‑Based Electrode for Triboelectric Nanogenerator

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Nano-Micro Letters 2025年第1期17卷 378-403页

作者： Bin Xie Yuanhui guo Yun Chen Hao Zhang Jiawei Xiao Maoxiang Hou Huilong liu Li Ma Xin Chen Chingping Wong State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment Guangdong University of TechnologyGuangzhou 510006People’s Republic of China School of Electromechanical Engineering Guangdong University of TechnologyGuangzhou 510006People’s Republic of China School of Materials Science and Engineering Georgia Institute of TechnologyAtlantaGA 30332USA

With the continuous development of wearable electronics,wireless sensor networks and other micro-electronic devices,there is an increasingly urgent need for miniature,flexible and efficient nanopower generation *** nanogenerator(TENG)technology can convert small mechanical energy into electricity,which is expected to address this *** the core component of TENG,the choice of electrode materials significantly affects its *** metal electrode materials often suffer from problems such as durability,which limits the further application of ***,as a novel electrode material,shows excellent prospects for application in TENG owing to its unique structure and excellent electrical *** review systematically summarizes the recent research progress and application prospects of TENGs based on graphene *** precision processing methods of graphene electrodes are introduced,and the applications of graphene electrode-based TENGs in various scenarios as well as the enhancement of graphene electrodes for TENG performance are *** addition,the future development of graphene electrode-based TENGs is also prospectively discussed,aiming to promote the continuous advancement of graphene electrode-based TENGs.

关键词： Triboelectric nanogenerator Precision processing Graphene electrode Self-powered sensor

Decreased levels of phosphorylated synuclein in plasma are correlated with poststroke cognitive impairment

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Neural Regeneration Research 2025年第9期20卷 2598-2610页

作者： Yi Wang Yuning Li Yakun Gu Wei Ma Yuying Guan Mengyuan guo Qianqian Shao Xunming Ji Jia liu Department of Clinical Laboratory Beijing Bo’ai HospitalChina Rehabilitation Research CenterCapital Medical UniversityBeijingChina Beijing Institute of Brain Disorders Laboratory of Brain DisordersMinistry of Science and TechnologyCollaborative Innovation Center for Brain DisordersBeijing Advanced Innovation Center for Big Data-based Precision MedicineCapital Medical UniversityBeijingChina Department of Neurosurgery Xuanwu HospitalCapital Medical UniversityBeijingChina

Poststro ke cognitive impairment is a major secondary effect of ischemic stroke in many patients;however,few options are available for the early diagnosis and treatment of this *** aims of this study were to(1)determine the specific relationship between hypoxic andα-synuclein during the occur of poststroke cognitive impairment and(2)assess whether the serum phosphorylatedα-synuclein level can be used as a biomarker for poststro ke cognitive *** found that the phosphorylatedα-synuclein level was significantly increased and showed pathological aggregation around the cerebral infa rct area in a mouse model of ischemic *** addition,neuronalα-synuclein phosphorylation and aggregation were observed in the brain tissue of mice subjected to chronic hypoxia,suggesting that hypoxia is the underlying cause ofα-synuclein-mediated pathology in the brains of mice with ischemic *** phosphorylatedα-synuclein levels in patients with ischemic stroke were significantly lower than those in healt hy subjects,and were positively correlated with cognition levels in patients with ischemic ***,a decrease in serum high-density lipoprotein levels in stroke patie nts was significantly correlated with a decrease in phosphorylatedα-synuclein *** ischemic stroke mice did not show significant cognitive impairment or disrupted lipid metabolism 14 days after injury,some of them exhibited decreased cognitive function and reduced phosphorylatedα-synuclein *** together,our results suggest that serum phosphorylatedα-synuclein is a potential biomarker for poststroke cognitive impairment.

关键词： biomarker high-density lipoprotein ischemic stroke phosphorylatedα-synuclein poststroke cognitive impairment

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三维有限孔径逆声散射问题的数值解

上海交通大学学报 2001年第10期35卷 1444-1449页

作者：尤云祥缪国平刘应中上海交通大学船舶与海洋工程学院上海200030

从声散射场远场分布的信息来再现三维障碍物形状反问题的数值解 .提出了求解这类非线性且不适定反问题的一种非线性最优化方法 ,该方法的主要特点是只需声散射场的远场分布在某个有限孔径中若干个入射和观测方向上的远场信息 .数值结果... 详细信息

从声散射场远场分布的信息来再现三维障碍物形状反问题的数值解 .提出了求解这类非线性且不适定反问题的一种非线性最优化方法 ,该方法的主要特点是只需声散射场的远场分布在某个有限孔径中若干个入射和观测方向上的远场信息 .数值结果表明 ,对较小的波数 ,即使只用在较小的入射和观测范围中的远场测量信息 ,得到三维障碍物的一个合理的重构也是可能的 .

关键词：声散射远场波形反问题三维有限孔径

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采用凝析油气测量凝析气藏相对渗透率

天然气工业 2004年第2期24卷 82-84页

作者：郭肖疏壮志郭平刘建仪西南石油学院滇黔贵油气田

由于缺乏精确测量临界凝析油饱和度测试技术 ,我国凝析气藏油气相对渗透率均使用常规油气进行测试 ,采用真实平衡凝析油气体系对凝析气藏相对渗透率曲线进行岩心驱替测试还无先例。文章选用牙哈凝析气藏真实岩样进行了两组驱替实验 ,第... 详细信息

由于缺乏精确测量临界凝析油饱和度测试技术 ,我国凝析气藏油气相对渗透率均使用常规油气进行测试 ,采用真实平衡凝析油气体系对凝析气藏相对渗透率曲线进行岩心驱替测试还无先例。文章选用牙哈凝析气藏真实岩样进行了两组驱替实验 ,第一组是向岩样注入煤油 -氮气采用非稳态法 ,第二组是注入平衡凝析油气采用稳态法。此外 ,研究了两种测试系统下油气相对渗透率对凝析气藏开发动态的影响 ,得出以下结论 :①凝析油气系统的相对渗透率曲线整体向右移动 ,气相对渗透率下降非常快 ,油气相对渗透率高于煤油 -氮气系统的油气相对渗透率 ;②凝析油气系统的临界凝析油饱和度比煤油 -氮气系统的凝析油临界饱和度约低 2 0 % ;③煤油 -氮气系统预测的气体产能、气油比、凝析油气采收率比凝析油气系统预测的结果低得多 ,但气藏压力下降较慢 ;④凝析油气系统与煤油 -氮气系统近井地带析出凝析油饱和度分布存在显著差别。

关键词：凝析油气田相对渗透率临界饱和率岩心驱替试验

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同期下肢多关节置换术的围手术期护理

职业与健康 2009年第12期25卷 1341-1343页

作者：郭留萍东南大学医学院附属江阴医院江苏省江阴市214400

人工关节表面置换术是目前国内治疗关节疾病的一种常用手术方法。多关节同期置换是晚期多关节病变患者治疗的选择之一,其优点在于一次麻醉,一次住院,完成多个手术,可缩短住院时间,降低总费用,有助于康复。该手术创伤大,出血多,术中易发... 详细信息

人工关节表面置换术是目前国内治疗关节疾病的一种常用手术方法。多关节同期置换是晚期多关节病变患者治疗的选择之一,其优点在于一次麻醉,一次住院,完成多个手术,可缩短住院时间,降低总费用,有助于康复。该手术创伤大,出血多,术中易发生不良问题,且术中器械精密、繁多、昂贵。因此,手术室护士必须全面了解手术过程,熟悉各种器械的用途和性能,与手术医生全面沟通,才能熟练配合手术的顺利进行。我院于2000-2008年成功实行同期下肢多关节置换术8例,其中双侧全髋关节置换术5例,2例双膝关节表面置换术,1例双侧全髋全膝关节嚣换术。经精心治疗和护理并予以康复训练,均取得了较满意的效果。[第一段]

关键词：同期多关节置换术围手术期护理

Anomaly Detection of Controllable Electric Vehicles through Node Equation against Aggregation Attack

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Computers, Materials & Continua 2025年第1期82卷 427-442页

作者： Jing guo Ziying Wang Yajuan guo Haitao Jiang State Grid Jiangsu Electric Power Co. Ltd.Research InstituteState Grid Corporation of ChinaNanjing211100China

The rapid proliferation of electric vehicle(EV)charging infrastructure introduces critical cybersecurity vulnerabilities to power grids *** study presents an innovative anomaly detection framework for EV charging stations,addressing the unique challenges posed by third-party aggregation *** approach integrates node equations-based on the parameter identification with a novel deep learning model,xDeepCIN,to detect abnormal data reporting indicative of aggregation *** employ a graph-theoretic approach to model EV charging networks and utilize Markov Chain Monte Carlo techniques for accurate parameter *** xDeepCIN model,incorporating a Compressed Interaction Network,has the ability to capture complex feature interactions in sparse,high-dimensional charging *** results on both proprietary and public datasets demonstrate significant improvements in anomaly detection performance,with F1-scores increasing by up to 32.3%for specific anomaly types compared to traditional methods,such as wide&deep and DeepFM(Factorization-Machine).Our framework exhibits robust scalability,effectively handling networks ranging from 8 to 85 charging ***,we achieve real-time monitoring capabilities,with parameter identification completing within seconds for networks up to 1000 *** research contributes to enhancing the security and reliability of renewable energy systems against evolving cyber threats,offering a comprehensive solution for safeguarding the rapidly expanding EV charging infrastructure.

关键词： Anomaly detection electric vehicle aggregation attack deep cross-network