一类带负系数的多叶解析函数族

使用分数导数算子，引入了新的一族多叶解析函数族Ｓｐ（α，β，λ），得到了族Ｓｐ（α，β，λ）中带入系数的子族的系数估计，偏差定理及一些其它的性质。     

一类多叶解析函数族的性质

引入了一类由Cho-Kwon-Srivastava算子定义的新p-叶解析函数族.利用从属定理得到了此函数族上的从属关系、包含关系及一些卷积性质,推广了前人的一些结果.     

用线性算子定义的一类亚纯多叶函数

用Hadamard卷积定义线性算子Dn+p-1,利用线性算子Dn+p-1定义了去心单位圆盘内亚纯多叶函数族Ωn+p(A,B),研究了亚纯多叶函数族Ωn+p(A,B)的性质和特征,同时将解析函数邻域概念应用到亚纯多叶函数上定义了Nδ(f),得到了Nδ(f)与Ωn+p(A,B)的包含关系。     

一类与Srivastava-Attiya算子有关的多叶解析函数的性质

引入了一类由Srivastava-Attiya算子定义的新的p-叶解析函数族Bλ,ps,b(d,β).利用从属定理得到了此函数族上的从属关系、包含关系及一些卷积性质,推广了前人的一些结果.     

某类亚纯多叶函数子类的包含性质

研究一类关于亚纯多叶函数的复合算子函数,该算子推广了众多熟悉的算子.利用该复合算子定义了单位去心圆盘上的亚纯多叶解析函数类,利用解析函数理论,得到了它的包含关系.     

星形函数的支撑点

本文用变分方法得出了星形函数族S~*[a. b]和亚纯单叶星形函数族Σ~*[a,b]的支撑点所具有的形式     

关于一族解析函数的极值点与支撑点

本文确定了一族比Robertson函数族更大的族Q(α,β)的闭凸包,极值点,支撑点,模的上,下确界。     

关于两族特殊解析函数的邻域

本文利用微分算子定义了两族解析函数,引入了它们的广义Ruschewey邻域,并研究了这两族解析函数与它们的邻域之间的关系。     

与Noor积分算子有关的多叶解析函数子类的性质

利用Noor积分算子引进单位圆盘内多叶解析函数的新子类φ(h)和κ(h),给出此类多叶解析函数的辐角性质,从而推广了早期文献中的相关结论.     

两类双单叶非 Bazilevic 函数族的系数估计

Obradovic引入研究了非Bazilevic函数并讨论了它的解析性质,受到数学工作者的广泛关注.利用非Bazilevic函数定义了两类新的双单叶函数族,结合正实部解析函数的系数估计和微分从属理论,得到这些函数族的起始项a2和a3的系数估计,所得结果推广了一些已有的结论.     

一类新的解析函数族

定义在单位圆盘中的解析的函数的几类的子集M(a),N(a),P1(a),即分别为Rezf′(z)f(z)a,Re 1+zf″(z)f′(z)a,Req(z)a,a1的解析函数,并研究它们的系数估计,偏差定理及其极值问题.     

近于凸函数的一些子类

文中给出了近于凸函数的一些子类，给出了这些子类的系数界。增长定理，导函数增长定理，导函数的幅角估计，一些形式的积分平均，给出了这些子类的闭凸包，导函数的闭凸包，给出了闭凸包的极端点及导函数闭凸包极端点的部分刻画，特别地推广了文献〔１〕中的结果。     

算子Dα及其刻划的∑p函数类

用算子D^α刻划亚纯星象函数、亚纯凸象函数、亚纯近于凸函数和亚纯拟凸函数的新子类。建立包含关系，讨论类中函数积分算子的性质。     

VV星表中赛弗特星系的双色图及模型暗示

双色图是一种研究恒星和活动星系核演化的有效工具。文章比较了四种赛弗特星系子类(1型赛弗特星系,1.5型赛弗特星系,2型赛弗特星系和3型赛弗特星系或低电离核星系)大双色图中的分布情况。结果发现四种赛弗特星系子类在双色图中具有显著不同的分布,特别地1型赛弗特星系比2型赛弗特星系要蓝。最后提出了赛弗特星系可能的一种演化序列:从1型赛弗特星系演化到2型赛弗特星系,最后演化为3型赛弗特星系或低电离核星系。     

Strong summation of Cesaro means of Fourier-Laplace serie

The strong summation of FourierLaplace series in logarithmic subclasses of L2(∑d)defined in terms of moduli of continuity is of interest.In this note,the almost everywhere convergence rates of the Cesaro means for Fourier-Laplace series of the convex subclasses are obtained.The strong approximation order of the Cesaro means and the partial summation operators are also presented.     

Vegetation change detection using artificial neural networks with ancillary data in Xishuangbanna,Yunnan Province,China

Timely and accurate change detection of the Earth’s surface features provides the foundation for better planning, management and environmental studies. In this study ANN change detection was used to perform vegetation change detection, and was compared with post-classification method. Before the post-classification was performed the ANN classification was used to yield multitemporal vegetation maps. ANN were also used to perform a one-pass classification for the images in 2003 and 2004. DEM and slope were used as two extra channels. During the training stage, the training data was separated into 82 subclasses including 36 change subclasses and 46 no change subclasses. Moreover NDVI differencing methods were used to develop the change mask. The result showed that combining the NDVI differencing method with visual interpretation when identifying reference areas can produce more accurate change detection results for the ANN one pass change classification. Moreover, it is effective to use elevation and slope as extra channels together with PCA components, to perform ANN-based change detection in mountainous study areas. It is also important to separate the vegetation transition classes into subclasses based on spectral response patterns, especially for mountainous terrains. This processing can reduce the topographic effect and improve the change detection accuracy.

     

用面向对象的程序设计（OOP）方法设计通用子类建造MIS

以设计“增、删、修、存、弃”记录维护子类为例,给出了一个建造 Ｍ Ｉ Ｓ通用子类的方法,利用这些通用子类,可避免各基本子类的重复设计,以减少 Ｍ Ｉ Ｓ建设中的工作量,体现了可视化的 Ｏ Ｏ Ｐ设计方法的优越性。     

土地利用功能分类探讨

在综述已有的土地利用分类体系的基础上,以土地利用的生态、生产、生活功能为立足点,建立了土地利用功能分类体系,包括生活用地、生产用地、生态用地3个一级类型;针对不同的用地部门,划分了65个二级类型.     

Division and subtraction by distinct cortical inhibitory networks in vivo

Brain circuits process information through specialized neuronal subclasses interacting within a network. Revealing their interplay requires activating specific cells while monitoring others in a functioning circuit. Here we use a new platform for two-way light-based circuit interrogation in visual cortex in vivo to show the computational implications of modulating different subclasses of inhibitory neurons during sensory processing. We find that soma-targeting, parvalbumin-expressing (PV) neurons principally divide responses but preserve stimulus selectivity, whereas dendrite-targeting, somatostatin-expressing (SOM) neurons principally subtract from excitatory responses and sharpen selectivity. Visualized in vivo cell-attached recordings show that division by PV neurons alters response gain, whereas subtraction by SOM neurons shifts response levels. Finally, stimulating identified neurons while scanning many target cells reveals that single PV and SOM neurons functionally impact only specific subsets of neurons in their projection fields. These findings provide direct evidence that inhibitory neuronal subclasses have distinct and complementary roles in cortical computations.