Mathematical models of the transitions between endocrine therapy responsive and resistant states in breast cancer

Endocrine therapy, targeting the oestrogen receptor pathway, is the most common treatment for oestrogen receptor-positive breast cancers. Unfortunately, these tumours frequently develop resistance to endocrine therapies. Among the strategies to treat resistant tumours are sequential treatment (in which second-line drugs are used to gain additional responses) and intermittent treatment (in which a ‘drug holiday’ is imposed between treatments). To gain a more rigorous understanding of the mechanisms underlying these strategies, we present a mathematical model that captures the transitions among three different, experimentally observed, oestrogen-sensitivity phenotypes in breast cancer (sensitive, hypersensitive and independent). To provide a global view of the transitions between these phenotypes, we compute the potential landscape associated with the model. We show how this oestrogen response landscape can be reshaped by population selection, which is a crucial force in promoting acquired resistance. Techniques from statistical physics are used to create a population-level state-transition model from the cellular-level model. We then illustrate how this population-level model can be used to analyse and optimize sequential and intermittent oestrogen-deprivation protocols for breast cancer. The approach used in this study is general and can also be applied to investigate treatment strategies for other types of cancer.     

沪港两地国际金融中心城市建筑综合体(IFC)比较研究

以沪港两地的国金中心为例.通过对二者的商业定位.空间布局及城市地位的调查比较研究,逐层深入探究其相似定位下的不同复合效应.并从侧面分析沪港两地的城市发展差距.     

高密度环境下城市微型公共空间的利用

目前城市发展迅速,以香港为代表的高密度化城市环境以及微型化城市公共空间成为普遍的城市现象。为此,我们通过对密度和知觉密度的关系研究,归纳出影响人们知觉密度感受的相关因素,并在此基础上找到现实可行的微型公共空间利用办法,使得高密度环境下有着舒适心理感受的城市公共空间得以实现。     

k-Nearest neighbor searching in hybrid spaces

Little work has been reported in the literature to support k-nearest neighbor (k-NN) searches/queries in hybrid data spaces (HDS). An HDS is composed of a combination of continuous and non-ordered discrete dimensions. This combination presents new challenges in data organization and search ordering. In this paper, we present an algorithm for k-NN searches using a multidimensional index structure in hybrid data spaces. We examine the concept of search stages and use the properties of an HDS to derive a new search heuristic that greatly reduces the number of disk accesses in the initial stage of searching. Further, we present a performance model for our algorithm that estimates the cost of performing such searches. Our experimental results demonstrate the effectiveness of our algorithm and the accuracy of our performance estimation model.     

大空间场馆的空调与排烟系统设计

主要介绍了世博文化中心主场馆高大空间的空调系统和排烟系统的设计,简单分析了主场馆空间CFD模拟的情况,并对消防性能化设计的方法与结论进行了简单说明.     

基于知识创新的大型园林企业激励体系研究

在知识创新与知识经济时代,企业对于员工激励的制度体系的构建难度更大、要求更高。因此,分析基于知识创新的大型园林企业激励体系构建的目的及其应遵循的基本原则,探讨基于知识创新的大型园林企业激励体系的具体构成与总体结构,就具有突出的理论意义与实际意义。企业的激励体系由企业文化、经营者能力与人际关系、企业经营管理、工作设置、薪酬管理和员工发展6部分组成。     

青岛四方路里院街区景观环境的保护及更新策略

青岛四方路里院历史街区是现今保存较为完整的里院街区,具有极其重要的建筑、艺术、历史价值。但是随着城市建设的发展,四方路里院街区正在逐渐消逝,亟需保护。通过对四方路里院街区的物质及非物质景观环境的研究,以求四方路里院街区建筑的重生和建筑文脉的延续。     

19.4 m高大空间模板施工技术

某地块工程1＃房和2＃房均存在共享空间，共享空间区域最高为19.4 m，面积为221.88 m，本文根据高大模板的实际情况，针对高排架的稳定性问题，提出排架搭设的构造问题。     

Ⅰ型NPC式三电平变流器的SVPWM算法研究

在中高电压、大容量变流领域,三电平变流器以输出功率大、器件电压应力低等特点逐渐进入了实用阶段。但由于此类变流器中功率器件数量较多,采取传统三电平空间矢量脉宽调制(SVPWM)算法运算量庞大,算法实现困难,对硬件资源要求高。为此针对传统三电平变流器算法进行了改进,大大简化了算法描述。在控制器数字实现过程中,不仅节省了数字处理器的硬件资源,且明显提高了算法的可靠性。相关的模拟实验结果充分证明了所设计算法的可行性和优越性,为后续的研究工作奠定了基础。     

基于“3S”技术林业有害生物预警预报系统设计与实现

林业有害生物预警预报系统以"3S"技术为核心,以C#、ARC ENGINE、WEBGIS技术为手段建立,应用GIS中缓冲区分析和叠加分析等方法预测病虫害发生的范围,在空间位置上高亮度标识病虫害发生位置、扩散区域、危害程度,关联出相关预防方法和防治技术,并实现实时信息发布和视频上传。