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A Multi-Objective Particle Swarm Optimization Algorithm Based on Decomposition and Multi-Selection Strategy

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Computers, materials & Continua 2025年第1期82卷 997-1026页

作者： Li ma Cai Dai Xingsi xue Cheng Peng School of Computer Science Shaanxi Normal UniversityXi’an710119China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of TechnologyFuzhou350118China Information Construction and management Center and Institute of Artificial Intelligence and Educational New Productivity Ningxia Normal UniversityGuyuan756099China

The multi-objective particle swarm optimization algorithm(MOPSO)is widely used to solve multi-objective optimization *** the article,amulti-objective particle swarm optimization algorithmbased on decomposition and multi-selection strategy is proposed to improve the search ***,two update strategies based on decomposition are used to update the evolving population and external archive,***,a multiselection strategy is *** first strategy is for the subspace without a non-dominated *** the neighbor particles,the particle with the smallest penalty-based boundary intersection value is selected as the global optimal solution and the particle far away fromthe search particle and the global optimal solution is selected as the personal optimal solution to enhance global *** second strategy is for the subspace with a non-dominated *** the neighbor particles,two particles are randomly selected,one as the global optimal solution and the other as the personal optimal solution,to enhance local *** third strategy is for Pareto optimal front(PF)discontinuity,which is identified by the cumulative number of iterations of the subspace without non-dominated *** the subsequent iteration,a new probability distribution is used to select from the remaining subspaces to ***,an adaptive inertia weight update strategy based on the dominated degree is designed to further improve the search ***,the proposed algorithmis compared with fivemulti-objective particle swarm optimization algorithms and five multi-objective evolutionary algorithms on 22 test *** results show that the proposed algorithm has better performance.

关键词： Multi-objective optimization multi-objective particle swarm optimization decomposition multi-selection strategy

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水稻中的纳米硅及其紫外吸收

光谱学与光谱分析 2006年第12期26卷 2315-2318页

作者：房江育宛晓春马雪泷安徽农业大学园艺学博士后流动站安徽合肥230036 黄山学院生物多样性研究所安徽黄山245021

为了了解水稻中硅的亚显微结构及其紫外吸收特性，根据强酸不会腐蚀SiO2玻璃的事实，选择湿消化方法分离水稻中的硅体。以浓硫酸和硝酸混合液分别处理水稻叶片和稻壳，经多级沉降分离出其中的硅体。X射线光电子能谱结果表明硅体距离表面... 详细信息

为了了解水稻中硅的亚显微结构及其紫外吸收特性，根据强酸不会腐蚀SiO2玻璃的事实，选择湿消化方法分离水稻中的硅体。以浓硫酸和硝酸混合液分别处理水稻叶片和稻壳，经多级沉降分离出其中的硅体。X射线光电子能谱结果表明硅体距离表面10nm以内碳相对质量为35．05％，远高于硅体表面（5．88％），说明硅质壁能够阻止强酸进入硅体内部，避免硅体内氧化，保持硅体结构完整和相对独立的理化性质。电镜显示硅体SiC）：结构致密，由1～2nm的SiO2凝胶粒子粘聚而成，纳米颗粒相互融合组成排列方向一致的纳米棒，内部还有微米尺度（≤1μm）和纳米尺度（≤1～2nm）的隙孔。颖壳硅体最大吸收位于285nm；叶片纳米硅对紫外辐射的吸收极其有限，表明水稻颖壳和叶片硅体对紫外辐射具有不同的抵抗机制。

关键词：水稻硅体纳米紫外吸收

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8个野生稻种的叶片硅体研究

西北植物学报 2007年第8期27卷 1531-1536页

作者：马雪泷房江育黄山学院生命与环境科学学院安徽黄山245041

用强酸溶液分离8个野生稻种叶片中的硅体并用光学显微镜和电子扫描显微镜进行观测研究.结果显示,(1)叶片含有3种类型的硅体,即不规则硅体、哑铃形硅体和扇形硅体,前2种硅体不能作为属内分类的依据,但短药野生稻哑铃形硅体的表面纹饰独特... 详细信息

用强酸溶液分离8个野生稻种叶片中的硅体并用光学显微镜和电子扫描显微镜进行观测研究.结果显示,(1)叶片含有3种类型的硅体,即不规则硅体、哑铃形硅体和扇形硅体,前2种硅体不能作为属内分类的依据,但短药野生稻哑铃形硅体的表面纹饰独特,可作为识别该物种的特征.(2)同一个物种的扇形硅体变异很大,统计学表明它总以其中的某一种类型占有优势,紧穗野生稻和短舌野生稻中小型硅体占优势,药用野生稻和普通野生稻中约有一半为中型硅体,另一半为小型硅体,其余4种野生稻包括斑点野生稻、澳洲野生稻、展颖野生稻和短药野生稻中绝大多数为中型硅体,即野生稻的扇形硅体以中、小型为主.(3)根据扇面长/扇柄长的比值,将扇形硅体划分为长柄型、中间形和短柄型3种形态,依此对8个稻种的硅体分类.结果表明,斑点野生稻、药用野生稻、紧穗野生稻和澳洲野生稻以长柄型为优势;普通野生稻、短舌野生稻、展颖野生稻和短药野生稻则以中间型为主,且扇形硅体的扇面长/扇柄长的比值的大小与野生稻染色体组型或原产地有关.

关键词：野生稻叶片硅体

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硅对马铃薯试管苗生长及其细胞壁形成的影响

作物学报 2006年第1期32卷 152-154页

作者：房江育马雪泷黄山学院生物多样性研究所安徽黄山245021

以马铃薯大西洋品种为材料,MS为基本培养基,研究硅对马铃薯组培苗生长及其细胞壁组成的影响。结果表明,植株株高、干、鲜重、生根数和根长随着硅浓度的提高而显著增加,以添加5 mmol/L硅酸效果较好;束缚水与自由水之比上升;叶绿素增多,... 详细信息

以马铃薯大西洋品种为材料,MS为基本培养基,研究硅对马铃薯组培苗生长及其细胞壁组成的影响。结果表明,植株株高、干、鲜重、生根数和根长随着硅浓度的提高而显著增加,以添加5 mmol/L硅酸效果较好;束缚水与自由水之比上升;叶绿素增多,呼吸作用减慢;细胞壁提取率显著增高,细胞壁中纤维素含量显著上升,螯合剂提取果胶含量显著下降。

关键词：硅马铃薯试管苗生长细胞壁

Research on the balance optimization algorithm of image recognition accuracy and speed based on autocollimator measurement

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Optoelectronics Letters 2025年第2期21卷 121-128页

作者： LI Renpu ma long CUI Jiwen GUO Junqi Andrei KULIKOV WEN Dandan Chongqing Engineering Research Center of Intelligent Sensing Technology and Microsystem Chongqing University of Post and Telecommunications School of Instrumentation Science and Engineering Harbin Institute of Technology Higher School of Engineering and Technology ITMO University

The autocollimator is an important device for achieving precise,small-angle,non-contact *** primarily obtains angular parameters of a plane target mirror indirectly by detecting the position of the imaging *** is limited report on the core algorithmic techniques in current commercial products and recent scientific *** paper addresses the performance requirements of coordinate reading accuracy and operational speed in autocollimator image *** proposes a cross-image center recognition scheme based on the Hough transform and another based on Zernike moments and the least squares *** experimental evaluation of the accuracy and speed of both schemes,the optimal image recognition scheme balancing measurement accuracy and speed for the autocollimator is *** these,the center recognition method based on Zernike moments and the least squares method offers higher measurement accuracy and stability,while the Hough transform-based method provides faster measurement speed.

关键词： Least squares approximations

The complex roles of m^(6)A modifications in neural stem cell proliferation, differentiation, and self-renewal and implications for memory and neurodegenerative diseases

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Neural Regeneration Research 2025年第6期20卷 1582-1598页

作者： Yanxi Li Jing xue Yuejia ma Ke Ye xue Zhao Fangliang Ge Feifei Zheng Lulu Liu Xu Gao Dayong Wang Qing Xia Department of Biochemistry and Molecular Biology College of Basic Medical SciencesHarbin Medical UniversityHarbinHeilongjiang ProvinceChina College of Basic Medical Sciences Harbin Medical UniversityHarbinHeilongjiang ProvinceChina Basic Medical Institute Heilongjiang Academy of Medical SciencesHarbinHeilongjiang ProvinceChina Key Laboratory of Heilongjiang Province for Genetically Modified Animals Harbin Medical UniversityHarbinHeilongjiang ProvinceChina Translational Medicine Research and Cooperation Center of Northern China Heilongjiang Academy of Medical SciencesHarbinHeilongjiang ProvinceChina Dongzhimen Hospital Beijing University of Chinese MedicineBeijingChina

N6-methyladenosine(m^(6)A), the most prevalent and conserved RNA modification in eukaryotic cells, profoundly influences virtually all aspects of mRNA metabolism. mRNA plays crucial roles in neural stem cell genesis and neural regeneration, where it is highly concentrated and actively involved in these processes. Changes in m^(6)A modification levels and the expression levels of related enzymatic proteins can lead to neurological dysfunction and contribute to the development of neurological diseases. Furthermore, the proliferation and differentiation of neural stem cells, as well as nerve regeneration, are intimately linked to memory function and neurodegenerative diseases. This paper presents a comprehensive review of the roles of m^(6)A in neural stem cell proliferation, differentiation, and self-renewal, as well as its implications in memory and neurodegenerative diseases. m^(6)A has demonstrated divergent effects on the proliferation and differentiation of neural stem cells. These observed contradictions may arise from the time-specific nature of m^(6)A and its differential impact on neural stem cells across various stages of development. Similarly, the diverse effects of m^(6)A on distinct types of memory could be attributed to the involvement of specific brain regions in memory formation and recall. Inconsistencies in m^(6)A levels across different models of neurodegenerative disease, particularly Alzheimer's disease and Parkinson's disease, suggest that these disparities are linked to variations in the affected brain regions. Notably, the opposing changes in m^(6)A levels observed in Parkinson's disease models exposed to manganese compared to normal Parkinson's disease models further underscore the complexity of m^(6)A's role in neurodegenerative processes. The roles of m^(6)A in neural stem cell proliferation, differentiation, and self-renewal, and its implications in memory and neurodegenerative diseases, appear contradictory. These inconsistencies may be a

关键词： Alzheimer's disease cell self-renewal central nervous system memory microglia nerve regeneration neurodegenerative diseases neurogenesis RNA methylation

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掺硅类金刚石薄膜的制备及其光学性质研究

功能材料 2008年第6期39卷 889-891,895页

作者：杨兵初颜建堂张丽马学龙中南大学物理与科学技术学院湖南长沙410083

利用直流磁控溅射技术在单晶硅和光学玻璃表面制备了掺硅类金刚石薄膜,采用紫外-可见光光谱仪、原子力显微镜、X射线光电子能谱(XPS),荧光光谱仪考察了不同硅含量对类金刚石薄膜的光学透过、表面形貌、电子结构和光学带隙的影响。结果表... 详细信息

利用直流磁控溅射技术在单晶硅和光学玻璃表面制备了掺硅类金刚石薄膜,采用紫外-可见光光谱仪、原子力显微镜、X射线光电子能谱(XPS),荧光光谱仪考察了不同硅含量对类金刚石薄膜的光学透过、表面形貌、电子结构和光学带隙的影响。结果表明,掺硅后的类金刚石薄膜的表面粗糙度先变大后变小,光学带隙变宽,但当掺硅达到一定量时,光学带隙有所降低。随着硅掺入量的增加,薄膜的红外透过率显著提高;光的发射中心"蓝移"并且强度增加。XPS的结果表明薄膜的sp3/sp2的比率随着硅含量的增加而变大。

关键词：类金刚石薄膜磁控溅射 X射线光电子能谱光学带隙

p型透明导电Cu-Al-O薄膜的直流共溅射法制备

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半导体光电 2008年第5期29卷 684-686,691页

作者：杨兵初马学龙张丽颜建堂中南大学物理科学与技术学院湖南长沙410083

采用Cu靶和Al靶直流共溅射法制备了p型透明导电Cu-Al-O薄膜。用原子力显微镜(AFM)、X射线衍射(XRD)仪、四探针测量仪、紫外-可见分光光度计对样品进行了表征。结果表明,对所制备的p型透明导电Cu-Al-O薄膜经高温退火后,其结晶质量和导电... 详细信息

采用Cu靶和Al靶直流共溅射法制备了p型透明导电Cu-Al-O薄膜。用原子力显微镜(AFM)、X射线衍射(XRD)仪、四探针测量仪、紫外-可见分光光度计对样品进行了表征。结果表明,对所制备的p型透明导电Cu-Al-O薄膜经高温退火后,其结晶质量和导电性能均有一定提高,薄膜在可见光区的平均透过率接近70%,禁带宽度约为3.75 eV。

关键词：直流共溅射 P型透明导电薄膜 Cu—Al—O薄膜高温退火

射频消融联合臭氧消融在改善颈椎疼痛中的有效性分析

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中国社区医师 2022年第2期38卷 49-51页

作者：马学龙临汾段氏正骨微创医院外科山西临汾041000

目的:探究射频消融联合臭氧消融方案治疗颈椎疼痛的可行性与有效性。方法:2019年2月-2021年2月收治颈椎疼痛患者76例,随机分为两组,各38例。对照组单独进行臭氧消融治疗;研究组进行射频消融联合臭氧消融治疗。比较两组治疗效果。结果:... 详细信息

目的:探究射频消融联合臭氧消融方案治疗颈椎疼痛的可行性与有效性。方法:2019年2月-2021年2月收治颈椎疼痛患者76例,随机分为两组,各38例。对照组单独进行臭氧消融治疗;研究组进行射频消融联合臭氧消融治疗。比较两组治疗效果。结果:研究组治疗后视觉模拟评分(VAS)、颈椎功能障碍指数(NDI)均低于对照组,生活质量综合评定问卷(GQOLI-74)总评分高于对照组,差异均有统计学意义(P<0.05)。结论:射频消融联合臭氧消融方案可进一步强化颈椎疼痛患者的治疗效果,缓解疼痛症状,改善颈椎功能,优化生活质量。

关键词：颈椎疼痛射频消融臭氧消融疼痛症状颈椎功能