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2024年11月15日，中山一院关节外科盛璞义教授、张紫机主任医师与精准医学研究院彭穗教授团队合作，在风湿病领域顶级期刊Annals of the Rheumatic Diseases（影响因子：20.3）上发表研究文章。
Associate Professor Ann B. Zimrini，Department of Microbiology & Immunology at University of Maryland（图）
Associate Professor Ann B. Zimrin Department of Microbiology & Immunology at University of Maryland
2015/12/31
Dr. Zimrin graduated from the University of Chicago Pritzker School of Medicine and trained in Internal Medicine at University of California, San Franscisco. She completed a fellowship in Hematology/O...
Professor Ann M. Graybiel，School of Brain and Cognitive Sciences at Massachusetts Institute of Technology（图）
Professor Ann M. Graybiel School of Brain and Cognitive Sciences at Massachusetts Institute of Technology
2014/8/22
Learning and Memory Mechanisms of the Basal Ganglia: from Habits to Cognition
The same brain that can construct language, music and mathematics also lets us develop habits of thought and action. Thes...
Professor F. Ann Walker,Department of Chemistry and Biochemistry at The University of Arizona（图）
Professor F. Ann Walker Department of Chemistry and Biochemistry at The University of Arizona Biochemistry Inorganic Physical Bioinorganic Biophysics
2014/8/15
F. Ann Walker,Regents Professor Emerita - Retired,Email: awalker@email.arizona.edu,Building: OC 204A ,Phone: 520-621-8645,Honors:Galileo Circle Fellow, College of Science, University of Arizona, 2009;...
张旭研究员获国际著名期刊《Ann. I. H. Poincare–AN》年度最佳论文奖
张旭研究员 非线性双曲型 抛物型方程 Ann. I. H. Poincare–AN 非线性偏微分方程
2011/6/7
日前，国际著名期刊《Annales de l'Institut Henri Poincare (C) Analyse Non Lineaire》2010年评选的“2008～2009年最佳论文奖”揭晓，中国科学院数学与系统科学研究院张旭研究员发表的论文“on the Optimality of the Observability Inequalities for Parabolic and Hype...
Cohomological classification of braided $Ann$-categories
Braided Ann-category structure transport classification theo-rem
2011/1/19
A braided Ann-category A is an Ann-category A together with a braiding c such that (A,
, a, c, (1, l, r)) is a braided tensor category, more-over c is compatible with the distributivity constraints. ...
Dual monoidal category C∗ of a monoidal functor F : C → V has been constructed by S. Majid. In this paper, we extend the construction of dual structures for an Ann-functor F : B → A. In particul...
Application of ANN to evaluate effective parameters affecting failure load and displacement of RC buildings
ANN effective parameters failure load RC buildings
2009/12/8
This study investigated the efficiency of an artificial neural network (ANN) in predicting and determining failure load and failure displacement of multi story reinforced concrete (RC) buildings. The ...
GA-PLS结合PC-ANN算法提高奶粉蛋白质模型精度
近红外光谱 GA-PLS PC-ANN
2009/11/2
提出一种偏最小二乘法(PLS)和人工神经网络(ANN)结合用于近红外光谱(NIRS)的分析方法，以提高奶粉蛋白质模型的预测精度。首先采用基于遗传算法的波长选择法(RS-GA)优化光谱数据，建立GA-PLS模型预测奶粉蛋白线性部分;然后在RS-GA法选择的波段上进行主成分分析(PCA)，以主成分的得分矩阵作为ANN模型输入层，以GA-PLS预测值与真实值之差作为输出层，建立PC-ANN模型预测其非线...
Application of ANN to evaluate effective parameters affecting failure load and displacement of RC buildings
ANN effective parameters affecting failure load displacement RC buildings
2009/12/16
This study investigated the efficiency of an artificial neural network (ANN) in predicting and determining failure load and failure displacement of multi story reinforced concrete (RC) buildings. The ...
采用多元散射校正(MSC)预处理方法对冬小麦叶片反射光谱进行预处理，有效地减小物理因素对光谱的影响，之后用非线性迭代偏最小二乘法(NIPALS)提取经MSC处理后的反射光谱的主成分，主成分个数由交叉证实法(Cross Validation)确定，将提取的主成分作为人工神经网络(ANN)的输入，建立人工神经网络分析模型(MSC-ANN)，用冬小麦叶片的反射光谱来预测冬小麦叶片叶绿素含量。校准集的化学...
基于多ANN模型的复杂系统长时段预报
多ANN结构 多层前馈网络 非线性系统预报
2008/12/25
提出一种多ANN结构的极值聚类训练算法,并将这种方法应用于复杂系统长时段预
报.采用这种方法,可以提高长时段预报精度、增强模型的可靠性.以这种模型为基础可以
进一步建立基于多ANN模型的复杂系统预测控制.
ANN-based sub-surface monitoring technique exploiting electromagnetic features extracted by GPR signals
ANN-based sub-surface monitoring technique electromagnetic features GPR signals
2010/1/28
In this work we consider the problem of determining the dielectric characteristics of sub-surface layers by means of GPR systems. In particular, a suitable electromagnetic feature (the RΓ parameter), ...
Long-term solar UV radiation reconstructed by ANN modelling with emphasis on spatial characteristics of input data
solar UV radiation ANN input data
2008/11/11
Artificial Neural Networks (ANN) are efficient tools to derive solar UV radiation from measured meteorological parameters such as global radiation, aerosol optical depths and atmospheric column ozone....