中小企业灵活制定品牌策略的思考

文章由广州倩采化妆品有限公司品牌策略制定失败的例子引出中国中小企业品牌策略问题,深入分析了中国中小企业制定和选择品牌策略应考虑的因素,并针对具有不同的规模、资金等条件的中小企业,设计了无品牌策略、借助已成功品牌的策略、自创品牌策略等不同的品牌策略.旨在为中小企业根据自身条件灵活制定品牌策略提供参考建议.     

单机排序中加工时间可控时的延误工件数问题

对一台机器加工时间可控时的延误工件数问题，如何构造延误工件数和加工时间减少量之间的产工线，文献「１」给出了一些理论结果，但未给出具体算法。该文在ｗｊ恒为１的条件下，分析了文献「１」所获得结果，证明了曲线上有效值的个数，并从考虑延误工件数出发在文献「１」基础上给出了构造上述曲线的具体算法。     

基于短基线差分干涉法的上海地面沉降分析

利用短基线差分干涉时序分析方法获取上海城区的地面形变信息.短基线时序分析方法选择较短的干涉对组合,利用干涉对中的高相干目标的相位和幅度信息在长时间序列中保持稳定的特性,获得高精度的地表形变信息.实验选择上海外环以内的区域,利用2007—2010年间的17景日本ALOS卫星的PALSAR数据,采用短基线时序分析方法提取了相干目标视线向的平均沉降速率.在沉降速率图中,杨浦区与虹口区交界处存在一个明显的漏斗状沉降;闵行区和浦东新区出现了一个较大范围的不规则的沉降条带.     

非饱和绢云母片岩残积土动力特性试验分析

以广泛分布于大临铁路沿线的绢云母片岩残积土为研究对象,开展非饱和状态下绢云母片岩残积土的共振柱试验,研究了动剪应变γd在小应变范围内(10-6<γd<10-4)不同含水率、干密度及固结围压对动剪切模量Gd与阻尼比D的影响.试验结果表明,含水率对动剪切模量与阻尼比的影响较大,对干密度及固结围压的影响较小.Gd及D随含水率...     

小小区基站网络中能量有效的分布式动态开关策略

最近,由于小小区基站技术可以有效地提高系统的传输速率,其被学术界与产业界广泛关注.提出了一种在小小区基站网络中新颖的能量有效的分布式动态开关策略.本策略通过控制小小区基站的开关与服务的用户,在考虑能量有效性的同时,优化用户的数据包速率.通过系统级仿真,本算法相比两种基本算法:随机开关策略和用户与数据包接入策略,在数据包速率和单位能量消耗下的数据包速率上,具有可观的性能优势.     

基于中心点和双重注意力机制的无人机高分辨率图像小目标检测算法

无人机拍摄的图像具有分辨率高、视野大以及目标小的特点,而现有的目标检测方法对小目标特征的提取能力不足.为此,首先采用以中心点表示目标的检测网络CenterNet,引入可变形双重注意力机制,以提高对小目标的特征表达能力;然后针对原始非极大值抑制难以处理嵌套型冗余框的问题,在冗余检测剔除过程中提出了广义非极大值抑制方法;最...     

企业协同生产网络的拓扑特性分析

深入研究企业协同生产网络的拓扑结构与功能特征的关系,是提升协同生产效率、系统鲁棒性的重要途径。针对国内外典型企业协同生产模式的特点,建立了企业协同生产网络的拓扑学模型,并应用图论中复杂网络方法,分析讨论了典型的重化工企业协同生产系统网络结构和功能特征。研究结论表明：企业协同生产网络具备小世界特性、无标度特性、节点中心性,复杂网络拓扑结构特性对实际系统的效率和功能存在影响。     

特殊类型线性规划问题的简便解法

本文介绍两种求特殊类型线性规划问题最优解的简便方法——检验框法和电路法．采用这两种方法将大大缩短求最优解的时间，特别是“电路法”有实用价值．     

Regulation of cell adhesion by PP2A and SV40 small tumor antigen: An important link to cell transformation

The serine/threonine protein phosphatase 2A (PP2A) represents a large family of highly conserved heterotrimeric enzymes. Their critical importance in cell homeostasis is underlined by the fact that they are targets of natural toxins like the tumor promoter okadaic acid, and of simian virus 40 small tumor antigen (SV40 small t), a viral protein known to promote cell transformation. Furthermore, mutated or lower expression levels of PP2A subunits have been found in certain cancers. One major known event in PP2A-dependent cell transformation is the alteration of key signaling pathways that control cell growth and survival. In this review, we focus on how PP2A enzymes also affect cell adhesion and cytoskeletal dynamics, the disruption of which is linked to loss of cell polarity, increased cell motility and invasiveness. We also examine how those various pathways participate in the transforming activity of SV40 small t. Received 29 June 2006; received after revision 3 August 2006; accepted 20 September 2006     

Bias in the estimation of non‐linear transformations of the integrated variance of returns

Volatility models such as GARCH, although misspecified with respect to the data‐generating process, may well generate volatility forecasts that are unconditionally unbiased. In other words, they generate variance forecasts that, on average, are equal to the integrated variance. However, many applications in finance require a measure of return volatility that is a non‐linear function of the variance of returns, rather than of the variance itself. Even if a volatility model generates forecasts of the integrated variance that are unbiased, non‐linear transformations of these forecasts will be biased estimators of the same non‐linear transformations of the integrated variance because of Jensen's inequality. In this paper, we derive an analytical approximation for the unconditional bias of estimators of non‐linear transformations of the integrated variance. This bias is a function of the volatility of the forecast variance and the volatility of the integrated variance, and depends on the concavity of the non‐linear transformation. In order to estimate the volatility of the unobserved integrated variance, we employ recent results from the realized volatility literature. As an illustration, we estimate the unconditional bias for both in‐sample and out‐of‐sample forecasts of three non‐linear transformations of the integrated standard deviation of returns for three exchange rate return series, where a GARCH(1, 1) model is used to forecast the integrated variance. Our estimation results suggest that, in practice, the bias can be substantial. Copyright © 2006 John Wiley & Sons, Ltd.