New Vertical Handover Method to Optimize Utilization of Wireless Local Area Network in High-Speed Environment

In heterogeneous wireless networks, wireless local area network (WLAN) is highly preferred by mobile terminals (MTs) owing to its high transmission bandwidth and low access cost. However, in high-speed environment, handover from a cellular network to a WLAN cell will lead to a high number of handover failures and unnecessary handovers due to the WLAN coverage limitation and will become worse at high speed. A new vertical handover method is proposed to minimize the probability of handover failure and unnecessary handover while maximizing the usage of WLAN in high-speed environment. The simulation results show that the proposed method kept the probability of handover failure and unnecessary handover below 0.5% and 1%, respectively. Compared with previous studies, the proposed method reduced the number of handover failures and unnecessary handovers up to 80.0% and 97.7%, respectively, while the MT is highly mobile. Using the proposed prediction method, the MT can benefit high bandwidth and low network access cost from the WLAN with minimum interruption regardless of speed.     

生物无线传感器网络路由算法研究

生物无线传感器网络在通信时,传感器节点会对其邻近的人体组织产生有害的电磁辐射,并由此引出了温度问题.在生物无线传感器网络中,如只考虑节点的能量问题,则可能致使某部分组织因局部温度过高而受到损伤,因此,传统的传感器网络路由算法并不能完全适用.本文基于以上问题提出一种新的簇头转换算法,综合考虑节点的能量、温度等问题,为各节点设定优先级,选择优先级最高的节点作簇头节点.从而使传感器节点邻近组织的温度得到控制,并且各节点的剩余能量也较为均匀.与传统的算法相比,降低了网络节点对人体的损伤,同时延迟了第一个死亡节点的出现.     

热垂直加压技术充填根管根尖封闭性的体外研究

目的:热垂直加压技术是目前应用广泛的根管充填技术.它利用牙胶加热后良好的流动性,严密的充填根管系统.成功的根管治疗需要性能良好的根管糊剂和规范的临床操作.基于以上特点,本实验探索两种不同根管糊剂及System B携热器工作尖与根尖孔的距离对热牙胶垂直加压充填根管根尖封闭能力的影响.方法:离体单根牙96颗,在釉牙骨质界处截去牙冠,采用冠向下法将根管预备至F3,冲洗后备用.将所有预备后的标本随机分为10组,其中实验组6组,对照组4组.分别采用美松和AH-Plus两种糊剂,System B携热器工作尖与根尖孔的距离分别为4mm、5mm、6mm.在根管壁上涂布少量的根管糊剂,插入预先试好的大锥度牙胶尖,用System B技术充填根管的根尖部分,冠方用Obtura Ⅱ技术充填.对标本进行染色及透明化处理后分析染料渗入长度进行分析,并通过扫描电镜观察根尖区根管充填材料与根管壁之间的结合形态.结果:AH-Plus组的染料渗入长度明显小于美松组,两者差距有统计学意义(P＜0.05).System B携热器工作尖与根尖孔的距离为4mm时微渗漏值较小,且与其它两组比较有统计学差异(P＜0.05).扫描电镜下观察各实验组的根管充填材料与根管壁之间都存在缝隙.结论:在临床操作中建议使用AH-Plus糊剂,并且将System B携热器工作尖与根尖孔的距离设置为4mm,以提高根管封闭性能、规范临床操作.     

无线传感器网络中基于缠绕多路径的ReInforM路由

对缠绕多路径算法技术的基本构建方法和ReInforM路由算法技术的基本过程进行了讨论,分析了其在无线传感器网络应用中的发展方向,提出了基于缠绕多路径的ReInforM路由。     

A New Vertical Mesh Transfer Technique for Metal-Tolerance Studies in Arabidopsis (Ecotypic Variation and Copper-Sensitive Mutants)

A new vertical mesh transfer (VMT) technique has been developed to facilitate the rapid isolation of plant metal-tolerance mutants. The technique is quantitative, allowing comparisons of the growth responses of different strains or ecotypes. Using the VMT technique, we have characterized the dose responses of 10 ecotypes of Arabidopsis thaliana to Cu2+, Zn2+, Ni2+, Cr3+, Cd2+, and Al3+. Ecotypic variations in the highest concentration causing no inhibition and the lowest concentration causing complete inhibition for the six metals were observed. Two ecotypes, Ws and Enkheim, exhibited an inducible tolerance mechanism in response to copper. Pretreatment of Ws with the highest concentration causing no inhibition for copper resulted in a shifting of the lowest concentration causing complete inhibition to a higher value. Partial cross-induction and cross-tolerance between Cu2+ and Zn2+ were demonstrated. In addition, ethyl methanesulfonate-mutagenized Columbia seeds were screened for copper-sensitive (cus) mutants using the VMT procedure. Thus far, 59 putative cus mutants have survived retesting to the M4 or M5 generation. When grown on gellan gum supplemented with 30 [mu]M CuCl2, cus mutants develop marked toxicity symptoms. A copper dose-response curve of the cus1 mutant showed that the metal-sensitive phenotype is specific for the lower concentration range.     

蛋白质组学技术在网络药理学中的应用

蛋白质组学发展至今已日趋成熟,在生物医药相关领域研究中的应用显著增加,与之相关的样品制备技术、蛋白定量方法及先进的质谱仪器也得到了快速发展。网络药理学是近年来提出的新药发现新策略,是药理学的新兴分支学科,它从整体的角度探索药物与疾病的关联性,发现药物靶标,指导新药研发。将蛋白质组学技术应用于网络药理学研究,能使研究人员系统地预测和解释药物的作用,加速药物靶点的确认,从而设计多靶点药物或药物组合。综述了蛋白质组学技术的新近研究进展,并简单概述了其在网络药理学中的应用。     

Bayes Node Energy Polynomial Distribution to Improve Routing in Wireless Sensor Network

Wireless Sensor Network monitor and control the physical world via large number of small, low-priced sensor nodes. Existing method on Wireless Sensor Network (WSN) presented sensed data communication through continuous data collection resulting in higher delay and energy consumption. To conquer the routing issue and reduce energy drain rate, Bayes Node Energy and Polynomial Distribution (BNEPD) technique is introduced with energy aware routing in the wireless sensor network. The Bayes Node Energy Distribution initially distributes the sensor nodes that detect an object of similar event (i.e., temperature, pressure, flow) into specific regions with the application of Bayes rule. The object detection of similar events is accomplished based on the bayes probabilities and is sent to the sink node resulting in minimizing the energy consumption. Next, the Polynomial Regression Function is applied to the target object of similar events considered for different sensors are combined. They are based on the minimum and maximum value of object events and are transferred to the sink node. Finally, the Poly Distribute algorithm effectively distributes the sensor nodes. The energy efficient routing path for each sensor nodes are created by data aggregation at the sink based on polynomial regression function which reduces the energy drain rate with minimum communication overhead. Experimental performance is evaluated using Dodgers Loop Sensor Data Set from UCI repository. Simulation results show that the proposed distribution algorithm significantly reduce the node energy drain rate and ensure fairness among different users reducing the communication overhead.     

Distributed Clone Detection in Static Wireless Sensor Networks: Random Walk with Network Division

Wireless Sensor Networks (WSNs) are vulnerable to clone attacks or node replication attacks as they are deployed in hostile and unattended environments where they are deprived of physical protection, lacking physical tamper-resistance of sensor nodes. As a result, an adversary can easily capture and compromise sensor nodes and after replicating them, he inserts arbitrary number of clones/replicas into the network. If these clones are not efficiently detected, an adversary can be further capable to mount a wide variety of internal attacks which can emasculate the various protocols and sensor applications. Several solutions have been proposed in the literature to address the crucial problem of clone detection, which are not satisfactory as they suffer from some serious drawbacks. In this paper we propose a novel distributed solution called Random Walk with Network Division (RWND) for the detection of node replication attack in static WSNs which is based on claimer-reporter-witness framework and combines a simple random walk with network division. RWND detects clone(s) by following a claimer-reporter-witness framework and a random walk is employed within each area for the selection of witness nodes. Splitting the network into levels and areas makes clone detection more efficient and the high security of witness nodes is ensured with moderate communication and memory overheads. Our simulation results show that RWND outperforms the existing witness node based strategies with moderate communication and memory overheads.     

Model for Heterogeneous Random Networks Using Continuous Latent Variables and an Application to a Tree–Fungus Network

Summary The mixture model is a method of choice for modeling heterogeneous random graphs, because it contains most of the known structures of heterogeneity: hubs, hierarchical structures, or community structure. One of the weaknesses of mixture models on random graphs is that, at the present time, there is no computationally feasible estimation method that is completely satisfying from a theoretical point of view. Moreover, mixture models assume that each vertex pertains to one group, so there is no place for vertices being at intermediate positions. The model proposed in this article is a grade of membership model for heterogeneous random graphs, which assumes that each vertex is a mixture of extremal hypothetical vertices. The connectivity properties of each vertex are deduced from those of the extreme vertices. In this new model, the vector of weights of each vertex are fixed continuous parameters. A model with a vector of parameters for each vertex is tractable because the number of observations is proportional to the square of the number of vertices of the network. The estimation of the parameters is given by the maximum likelihood procedure. The model is used to elucidate some of the processes shaping the heterogeneous structure of a well‐resolved network of host/parasite interactions.     

A Cell-Based Model for Quorum Sensing in Heterogeneous Bacterial Colonies

Although bacteria are unicellular organisms, they have the ability to act in concert by synthesizing and detecting small diffusing autoinducer molecules. The phenomenon, known as quorum sensing, has mainly been proposed to serve as a means for cell-density measurement. Here, we use a cell-based model of growing bacterial microcolonies to investigate a quorum-sensing mechanism at a single cell level. We show that the model indeed predicts a density-dependent behavior, highly dependent on local cell-clustering and the geometry of the space where the colony is evolving. We analyze the molecular network with two positive feedback loops to find the multistability regions and show how the quorum-sensing mechanism depends on different model parameters. Specifically, we show that the switching capability of the network leads to more constraints on parameters in a natural environment where the bacteria themselves produce autoinducer than compared to situations where autoinducer is introduced externally. The cell-based model also allows us to investigate mixed populations, where non-producing cheater cells are shown to have a fitness advantage, but still cannot completely outcompete producer cells. Simulations, therefore, are able to predict the relative fitness of cheater cells from experiments and can also display and account for the paradoxical phenomenon seen in experiments; even though the cheater cells have a fitness advantage in each of the investigated groups, the overall effect is an increase in the fraction of producer cells. The cell-based type of model presented here together with high-resolution experiments will play an integral role in a more explicit and precise comparison of models and experiments, addressing quorum sensing at a cellular resolution.     

Modelling Heterogeneous Dispersion in Marginal Models for Longitudinal Proportional Data

Continuous proportional data is common in biomedical research, e.g., the pre‐post therapy percent change in certain physiological and molecular variables such as glomerular filtration rate, certain gene expression level, or telomere length. As shown in (Song and Tan, 2000) such data requires methods beyond the common generalised linear models. However, the original marginal simplex model of (Song and Tan, 2000) for such longitudinal continuous proportional data assumes a constant dispersion parameter. This assumption of dispersion homogeneity is imposed mainly for mathematical convenience and may be violated in some situations. For example, the dispersion may vary in terms of drug treatment cohorts or follow‐up times. This paper extends their original model so that the heterogeneity of the dispersion parameter can be assessed and accounted for in order to conduct a proper statistical inference for the model parameters. A simulation study is given to demonstrate that statistical inference can be seriously affected by mistakenly assuming a varying dispersion parameter to be constant in the application of the available GEEs method. In addition, residual analysis is developed for checking various assumptions made in the modelling process, e.g., assumptions on error distribution. The methods are illustrated with the same eye surgery data in (Song and Tan, 2000) for ease of comparison. (© 2004 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Testing for Associations of Opposite Directionality in a Heterogeneous Population

In gene networks, it is possible that the patterns of gene co-expression may exist only in a subset of the sample. In studies of relationships between genotypes and expressions of genes over multiple tissues, there may be associations in some tissues but not in the others. Despite the importance of the problem in genomic applications, it is challenging to identify relationships between two variables when the correlation may only exist in a subset of the sample. The situation becomes even less tractable when there exist two subsets in which correlations are in opposite directions. By ranking subset relationships according to Kendall’s tau, a tau-path can be derived to facilitate the identification of correlated subsets, if such subsets exist. However, the current tau-path methodology only considers the situation in which there is association in a subsample; the more complex scenario depicting the existence of two subsets with opposite directionality of associations was not addressed. Further, existing algorithms for finding tau-paths may be suboptimal given their greedy nature. In this paper, we extend the tau-path methodology to accommodate the situation in which the sample may be drawn from a heterogeneous population composed of subpopulations portraying positive and negative associations. We also propose the use of a cross entropy Monte Carlo procedure to obtain an optimal tau-path, CEMC(_{tp}). The algorithm not only can provide simultaneous detection of positive and negative correlations in the same sample, but also can lead to the identification of subsamples that provide evidence for the detected associations. An extensive simulation study shows the aptness of CEMC(_{tp}) for detecting associations under various scenarios. Compared with two standard tests for detecting associations, CEMC(_{tp}) is seen to be more powerful when there are indeed complex subset associations with well-controlled type-I error rates. We applied CEMC(_{tp}) to the NCI-60 gene expression data to illustrate its utility for uncovering network relationships that were missed with standard methods.     

人类染色体850—1000条带的高分辨技术

人类染色体高分辨技术包括标本制作和带型识别两个不可分割的部分,本文介绍了一种显示人类单组染色体850—1000条带的高分辨标本制作技术和识别要点,并提供了从850—1000条带阶段的模式核型图。     

Precise Estimates of Persistence Time for SIS Infections in Heterogeneous Populations

For a susceptible–infectious–susceptible infection model in a heterogeneous population, we derive simple and precise estimates of mean persistence time, from a quasi-stationary endemic state to extinction of infection. Heterogeneity may be in either individuals’ levels of infectiousness or of susceptibility, as well as in individuals’ infectious period distributions. Infectious periods are allowed to follow arbitrary non-negative distributions. We also obtain a new and accurate approximation to the quasi-stationary distribution of the process, as well as demonstrating the use of our estimates to investigate the effects of different forms of heterogeneity. Our model may alternatively be interpreted as describing an infection spreading through a heterogeneous directed network, under the annealed network approximation.     

Cryptanalysis and Improvement of A Secure Password Authentication Mechanism for Seamless Handover in Proxy Mobile IPv6 Networks

Proxy Mobile IPv6 is a network-based localized mobility management protocol that supports mobility without mobile nodes’ participation in mobility signaling. The details of user authentication procedure are not specified in this standard, hence, many authentication schemes have been proposed for this standard. In 2013, Chuang et al., proposed an authentication method for PMIPv6, called SPAM. However, Chuang et al.’s Scheme protects the network against some security attacks, but it is still vulnerable to impersonation and password guessing attacks. In addition, we discuss other security drawbacks such as lack of revocation procedure in case of loss or stolen device, and anonymity issues of the Chuang et al.’s scheme. We further propose an enhanced authentication method to mitigate the security issues of SPAM method and evaluate our scheme using BAN logic.     

A Dynamic Optimization Solution for Vertical Jumping in Three Dimensions

A three-dimensional model of the human body is used to simulate a maximal vertical jump. The body is modeled as a 10-segment, 23 degree-of-freedom (dof), mechanical linkage, actuated by 54 muscles. Six generalized coordinates describe the position and orientation of the pelvis relative to the ground; the remaining nine segments branch in an open chain from the pelvis. The head, arms, and torso (HAT) are modeled as a single rigid body. The HAT articulates with the pelvis via a 3 dof ball-and-socket joint. Each hip is modeled as a 3 dof ball-and-socket joint, and each knee is modeled as a 1 dof hinge joint. Each foot is represented by a hindfoot and toes segment. The hindfoot articulates with the shank via a 2 dof universal joint, and the toes articulate with the hindfoot via a 1 dof hinge joint. Interaction of the feet with the ground is modeled using a series of spring-damper units placed under the sole of each foot. The path of each muscle is represented by either a series of straight lines or a combination of straight lines and space curves. Each actuator is modeled as a three-element, Hill-type muscle in series with tendon. A first-order process is assumed to model muscle excitation-contraction dynamics. Dynamic optimization theory is used to calculate the pattern of muscle excitations that produces a maximal vertical jump. Quantitative comparisons between model and experiment indicate that the model reproduces the kinematic, kinetic, and muscle-coordination patterns evident when humans jump to their maximum achievable heights.     

用于异源基因表达的毕赤酵母启动子研究进展

甲醇营养型毕赤酵母是一个广泛使用的蛋白表达宿主系统,易于高密度发酵、具有真核细胞翻译后加工修饰特点,适于异源蛋白分泌表达。转录调控是控制蛋白高效表达的关键环节,启动子是其中重要的元件。毕赤酵母表达系统中应用最为广泛的是甲醇诱导型AOX1启动子和组成型的GAP启动子,已成功用于一些异源蛋白的表达。近年来,发现了其他一些可供利用的启动子,包括来自管家基因的启动子如TEF、PGK1,以及具有特殊调控机制的启动子如FLD、PHO89等。此外,通过对启动子进行序列改造,构建启动子文库,实现了对启动子的精细调控。不同的启动子具有各自独特的调控机制与特点,就毕赤酵母启动子在异源蛋白表达应用中的相关研究进展进行综述。     

Vertical habitat segregation as a mechanism for coexistence in sympatric rodents

Coexistence has been widely studied in small mammals and frequently is assumed to be facilitated by habitat segregation. Using live trapping and spool-and-line experiments, we analyzed habitat selection and segregation across multiples scales for Peromyscus leucopus and Ochrotomys nuttalli. At the habitat scale of a forest stand (∼1–100s ha) P. leucopus co-occurred at all sites where O. nuttalli was found, and we did not detect evidence of positive or negative associations or habitat segregation. However, O. nuttalli was restricted to early successional forests, and P. leucopus had significantly lower abundances in early successional forests than in other habitats. We found similar patterns at the mesohabitat scale of the study site (400 m²). O. nuttalli abundance increased with increasing shrub and tree densities, while increases in P. leucopus abundance were associated with open understories. At the microhabitat scale of the individual movement trail, we found vertical segregation. Movement trails for O. nuttalli were at significantly higher elevation (mean height = 142.93 ± 37.10 cm) than P. leucopus trails (mean height = 15.4 ± 4.98 cm; F-value = 35.29, p < 0.001). We concluded that microhabitat segregation was driven by differential use of vertical space for movement and foraging. We suggest O. nuttalli is superior to P. leucopus in its ability to acquire food especially in shrubby subcanopies where few acorns are available. However, P. leucopus is superior in its ability to forage and avoid predators.     

Vertical and seasonal patterns in competition for microalgae between intertidal gastropods

Grazing by the snail Nerita atramentosa and the limpet Cellana tramoserica caused similarly great reductions in abundance of microalgae — measured by direct counts and by estimation of chlorophyll analyses. A smaller snail, Bembicium nanum, caused smaller reductions of microalgal resources, compared with ungrazed areas. These results were consistent with the competitive abilities of these three species. Chlorophyll concentrations in samples of grazed rocks were reliable estimates of the nature and abundance of food available to the grazers.Inter- and intra-specific competition amongst Nerita and Cellana were investigated at various densities in experimental cages. To examine the effects of different availability of food resources, the experiments were repeated at three heights on the shore (abundance of food decreases with height) and during autumn/winter and spring/summer periods of the year (less food is available during summer).Density-dependent mortality of Cellana was caused by the presence of other limpets, or of Nerita. Mortality was greatest at higher levels and during the spring/summer and was significantly, negatively correlated with mean chlorophyll concentration in the experimental cages. The only exception was that all limpets suddenly died in cages at the highest level during the summer period, which cannot be explained solely by competitive interactions. Nerita showed no density-dependent mortality during the short periods of these experiments. Tissue-weights of Nerita declined with increased density, but the effect of Cellana was not as great as the intraspecific effect of Nerita. Snails retained weight better at lower than at higher levels, and during the autumn/winter which is consistent with the availability of food. Tissue weights of both Nerita and Cellana were positively correlated with chlorophyll concentrations inside the cages in both seasons investigated.These experimental results demonstrate that intensity of competition will vary from place to place and time to time according to the densities and mixtures of the grazers, and according to the availability of microalgal food.