基于社交场景模块组构的城市住区公共空间“流态更新”方法

在信息网络时代,城市住区住户构成及其社交活动的周期更迭导致住区公共空间的使用需求呈现出多元分异和频繁转换的流变态势。针对此问题,结合场景理论与流空间理论,探索基于社交场景模块组构的城市住区公共空间“流态更新”方法。该方法以4组活动类型(学习益智、运动健身、文艺展演、游艺娱乐)、3种人群属性(性别、年龄、职业)、6阶活动时间(晨早、上午、午后、下午、傍晚、深夜)为社交情境因子,以住区公共空间户位属性、等级属性、界面态征、设施配置为空间响应要素,通过情境因子与空间要素的弹性组构和适配关联,在固位空间中创建流态社交场景,以实现城市住区公共空间对住户流变活动需求的机变响应。

论严歌苓的模块组构式写作

严歌苓的写作看似千变万化,丰富多彩,但实际上却具有一种模块组构的特性,内里比较单一。模块组构的写作方式既高产,也自我重复,呈现出一种职业化写手的工业化生产特性,是一种精致的平庸。对严歌苓写作的这一特性进行深入研究不仅有助于人们正确地认识严歌苓作品的优劣,而且对于当下文坛也有一定的启示意义。

A mobile self-reconfigurable robot based on modularity

A novel mobile self-reconfigurable robot is presented. This robot consists of several independent units. Each unit is composed of modular components including ultrasonic sensor, camera, communication, computation, and mobility parts, and is capable of simple self-reconfiguring to enhance its mobility by expanding itself. Several units can not only link into a train or other shapes autonomously via camera and sensors to be a united whole robot for obstacle clearing, but also disjoin to be separate units under control after missions. To achieve small overall size, compact mechanical structures are adopted in modular components design, and a miniature advanced RISC machines （ARM） based embedded controller is developed for minimal power consumption and efficient global control. The docking experiment between two units has also been implemented.

Docking process on hybrid self-reconfigurable modular robots

A novel hybrid self-reconfigurable modular robot is designed to finish the morphing action from line shape to hexagon shape. The robot is composed of many basic modules,each of which consists of a master module and a slave module in the shape of triangular prism. There are four connection ports on each basic module. For the master module there are two holes on each connection port,and for the slave one there are two pegs on each connection. The docking process between two neighboring basic modules is analyzed with a peg-in-hole mechanical structure. A small motion's method is presented and the contact forces are derived. According to the force/moment,the pose of a motion module should be adjusted to make two neighboring modules align and finish the docking process.Finally,a simulation of 3 basic modules is shown to finish the morphing and docking process effectively. The system can finish the morphing task from the line shape to the hexagon shape.

AtGGM2014, an Arabidopsis gene co-expression network for functional studies

Gene co-expression networks provide an important tool for systems biology studies. Using microarray data from the Array Express database, we constructed an Arabidopsis gene co-expression network, termed At GGM2014, based on the graphical Gaussian model, which contains 102,644 co-expression gene pairs among 18,068 genes. The network was grouped into 622 gene co-expression modules. These modules function in diverse house-keeping, cell cycle, development, hormone response, metabolism, and stress response pathways. We developed a tool to facilitate easy visualization of the expression patterns of these modules either in a tissue context or their regulation under different treatment conditions. The results indicate that at least six modules with tissue-specific expression pattern failed to record modular regulation under various stress conditions. This discrepancy could be best explained by the fact that experiments to study plant stress responses focused mainly on leaves and less on roots, and thus failed to recover specific regulation pattern in other tissues. Overall, the modular structures revealed by our network provide extensive information to generate testable hypotheses about diverse plant signaling pathways. At GGM2014 offers a constructive tool for plant systems biology studies.

Inferring microbial interaction networks based on consensus similarity network fusion

With the rapid accumulation of high-throughput metagenomic sequencing data,it is possible to infer microbial species relations in a microbial community systematically.In recent years,some approaches have been proposed for identifying microbial interaction network.These methods often focus on one dataset without considering the advantage of data integration.In this study,we propose to use a similarity network fusion(SNF)method to infer microbial relations.The SNF efficiently integrates the similarities of species derived from different datasets by a cross-network diffusion process.We also introduce consensus k-nearest neighborhood(Ck-NN)method instead of k-NN in the original SNF(we call the approach CSNF).The final network represents the augmented species relationships with aggregated evidence from various datasets,taking advantage of complementarity in the data.We apply the method on genus profiles derived from three microbiome datasets and we find that CSNF can discover the modular structure of microbial interaction network which cannot be identified by analyzing a single dataset.

EXTERNAL AND INTERNAL CONTROL IN PLANT DEVELOPMENT

Bodies of plants are modularly organized. Development proceeds by adding new modules to open endings with a potential for branching. Each module is autonomous to some extent. Development relies on the self-organized patterns that emerge from the interactions of individual modules. Interactions include both competition and cooperation,and several types of positive and negative feedback loops are involved. Development can be open to external influences, thus enabling the plant to adjust its form to the environment,for example, to the spatial distribution of ecological resources. This paper provides a review on adaptive plasticity in plants.