An eSnake model for medical image segmentation

A novel scheme of external force for detecting the object boundary of medical image based on Snakes (active contours) is introduced in the paper. In our new method, an electrostatic field on a template plane above the original image plane is designed to form the map of the external force. Compared with the method of Gradient Vector Flow (GVF), our approach has clear physical meanings. It has stronger ability to conform to boundary concavities, is simple to implement, and reliable for shape segmenting. Additionally, our method has larger capture range for the external force and is useful for medical image preprocessing in various applications. Finally, by adding the balloon force to the electrostatic field model, our Snake is able to represent long tube-like shapes or shapes with significant protrusions or bifurcations, and it has the specialty to prevent Snake leaking from large gaps on image edge by using a two-stage segmentation technique introduced in this paper. The test of our models proves that our methods are robust, precise in medical image segmentation.     

基于纳米模压的非晶合金纳米线阵列的形貌与结构演化(英文)

金属纳米线阵列因其优异的催化和传感特性等性能而受到广泛关注.非晶合金纳米模压技术提供了一种廉价便捷的近净成型技术,并可用于制备金属纳米线阵列,但目前对该技术的研究还不够深入.由于金属纳米线阵列的结构和形貌对其性能具有强烈的影响,本文对非晶合金在纳米模压过程中纳米线阵列的结构和形貌演化过程进行了系统的研究.研究发现,纳米线阵列中纳米线的长度随着模压温度、时间和压力的增加而增加,而纳米线长度的增加会促使纳米线阵列的形貌逐渐由分散型转变为聚集型.增加模压温度和时间能促进非晶合金纳米线晶化的发生,而增加模压压力则有助于抑制晶化的发生.通过模压参数的调节可以实现对纳米模压后纳米线阵列结构与形貌的调控,进而实现纳米线阵列性能的调控.     

Radial Compressive Property of Nerve Regeneration Conduit with PGLA Biodegradable Fibers

Radial compressive property greatly influences nerve regeneration and functional recovery. In this study,four types of braided bioabsorbable nerve regeneration conduits made from poly(glycolide-co-L-lactide)(PGLA) were produced. The aim is to test the radial compressive force and elastic recovery ratio of nerve regeneration conduits. The results indicated that radial compressive force was closely related to the inner diameter and length of tubes and elastic recovery ratio was nearly unaffected by these two factors.     

Detecting CD20-Rituximab interaction forces using AFM single-molecule force spectroscopy

The invention of atomic force microscopy(AFM) has provided new technology for measuring specific molecular interaction forces.Using AFM single-molecule force spectroscopy(SMFS) techniques,CD20-Rimximab rupture forces were measured on purified CD20 proteins,Raji cells,and lymphoma patient B cells.Rimximab molecules were linked onto AFM tips using AFM probe functionalization technology,and purified CD20 proteins were attached to mica using substrate functionalization technology.Raji cells(a lymphoma cell line) or lymphoma patient cells were immobilized on a glass substrate via electrostatic adsorption and chemical fixation.The topography of the purified CD20 proteins,Raji cells,and patient lymphoma cells was visualized using AFM imaging and the differences in the rupture forces were analyzed and measured.The results showed that the rupture forces between the CD20 proteins on Raji cells and Rituximab were markedly smaller than those for purified CD20 proteins and CD20 proteins on lymphoma patient B cells.These findings provide an effective experimental method for investigating the mechanisms underlying the variable efficacy of Rituximab.     

Identifying composite crosscutting concerns with scatter-based graph clustering

Identifying composite crosscutting concerns(CCs) is a research task and challenge of aspect mining.In this paper,we propose a scatter-based graph clustering approach to identify composite CCs.Inspired by the state-of-the-art link analysis tech-niques,we propose a two-state model to approximate how CCs tangle with core modules.According to this model,we obtain scatter and centralization scores for each program element.Espe-cially,the scatter scores are adopted to select CC seeds.Further-more,to identify composite CCs,we adopt a novel similarity measurement and develop an undirected graph clustering to group these seeds.Finally,we compare it with the previous work and illustrate its effectiveness in identifying composite CCs.