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| 1 | STAGED PROGRESSION MODEL FOR EPIDEMIC SPREAD ON HOMOGENEOUS AND HETEROGENEOUS NETWORKS显示文摘在这份报纸,与同类、异构的网络上的上演前进模型一起的流行传播被学习。首先,简单上演前进模型的流行阀值被给。然后,有出生和死亡的上演前进模型也被考虑。传染性是节点度的非线性的功能的盒子也被讨论。最后,分析结果被数字模拟验证。 | Haifeng ZHANG Michael SMALL Xinchu FU | 2011 | Journal of Systems Science & Complexity2011，24，4： | 7 |
| 2 | Different Epidemic Models on Complex Networks显示文摘Models for diseases spreading are not just limited to SIS or SIR.For instance,for the spreading ofAIDS/HIV,the susceptible individuals can be classified into different cases according to their immunity,and similarly,the infected individuals can be sorted into different classes according to their infectivity.Moreover,some diseases maydevelop through several stages.Many authors have shown that the individuals' relation can be viewed as a complexnetwork.So in this paper,in order to better explain the dynamical behavior of epidemics,we consider different epidemicmodels on complex networks,and obtain the epidemic threshold for each case.Finally,we present numerical simulationsfor each case to verify our results. | ZHANG Hai-Feng Michael Small FU Xin-Chu | 2009 | Communications in Theoretical Physics2009，52，7： | 6 |
| 3 | Dynamical behaviour of an epidemic on complex networks with population mobility显示文摘In this paper,we study the dynamical behaviour of an epidemic on complex networks with population mobility.In our model,the number of people on each node is unrestricted as the nodes of the network are considered as cities,communities,and so on.Because people can travel between different cities,we study the effect of a population'smobility on the epidemic spreading.In view of the population's mobility,we suppose that the susceptible individualcan be infected by an infected individual in the same city or other connected cities.Simulations are presented to verifyour analysis. | 张海峰 Small Michael 傅新楚 汪秉宏 | 2009 | Chinese Physics B2009，18，9： | 2 |
| 4 | Strategies to tackle the challenges of external beam radiotherapy for liver tumors显示文摘Primary and metastatic liver cancer is an increasingly common and difficult to control disease entity.Radiation offers a non-invasive treatment alternative for these patients who often have few options and a poor prognosis.However,the anatomy and aggressiveness of liver cancer poses significant challenges such as accurate localization at simulation and treatment,management of motion and appropriate selection of dose regimen.This article aims to review the options available and provide information for the practical implementation and/or improvement of liver cancer radiation programs within the context of stereotactic body radiotherapy and image-guided radiotherapy guidelines.Specific patient inclusion and exclusion criteria are presented given the significant toxicity found in certain sub-populations treated with radiation.Indeed,certain sub-populations,such as those with tumor thrombosis or those with larger lesions treated with transarterial chemoembolization,have been shown to have significant improvements in outcome with the addition of radiation and merit special consideration.Implementing a liver radiation programrequires three primary challenges to be addressed:(1) immobilization and motion management;(2) localization;and(3) dose regimen and constraint selection.Strategies to deal with motion include simple internal target volume(ITV) expansions,non-gated ITV reduction strategies,breath hold methods,and surrogate marker methods to enable gating or tracking.Localization of the tumor and organs-at-risk are addressed using contrast infusion techniques to take advantage of different normal liver and cancer vascular anatomy,imaging modalities,and margin management.Finally,a dose response has been demonstrated and dose regimens appear to be converging.A more uniform approach to treatment in terms of technique,dose selection and patient selection will allow us to study liver radiation in larger and,hopefully,multicenter randomized studies. | Michael I Lock Jonathan Klein Hans T Chung Joseph M Herman Edward Y Kim William Small Nina A Mayr Simon S Lo | 2017 | World Journal of Hepatology2017，9，14： | 2 |
| 5 | Efficient implementation of the Gaussian kernel algorithm in estimating invariants and noise level from noisy time series data显示文摘 | YU De-jin Michael Small Robert G Harrison | 2000 | Phys Rev Ser E2000，61，4： | 1 |
| 6 | The Acute Hemodynamic Effects of MitraClip Therapy显示文摘 | Robert J. Siegel Simon Biner Asim M. Rafique Michael Rinaldi Scott Lim Peter Fail James Hermiller Richard Smalling Patrick L. Whitlow Howard C. Herrmann Elyse Foster Ted Feldman Donald Glower Saibal Kar | 2011 | Journal of the American College of Cardiology2011，，16： | 1 |
| 7 | Myocardin-Related Transcription Factor-A Controls Myofibroblast Activation and Fibrosis in Response to Myocardial Infarction显示文摘 | Eric M. Small Jeffrey E. Thatcher Lillian B. Sutherland Hideyuki Kinoshita Robert D. Gerard James A. Richardson J. Michael DiMaio Hesham Sadek Koichiro Kuwahara Eric N. Olson | | Circulation Research0，，： | 1 |
| 8 | Acetabular cup stiffness and implant orientation change acetabular loading patterns显示文摘 | Scott R Small MS Michael E | | 0，，02： | 1 |
| 9 | Safety of conventional and wireless capsule endoscopy in patients supported with nonpulsatile axial flow Heart-Mate II left ventricular assist device显示文摘 | Adel Y. Daas Michael B. Small Haim Pinkas Patrick G. Brady | 2008 | Gastrointestinal Endoscopy2008，，2： | 1 |
| 10 | Acetabular cup stifness and implant orientation change acetabular loading patterns 显示文摘 | Scott R Small MS Michael E | 2013 | J Ar- throplasty2013，28，2： | 1 |
| 11 | Percutaneous Mitral Repair With the MitraClip System显示文摘 | Ted Feldman Saibal Kar Michael Rinaldi Peter Fail James Hermiller Richard Smalling Patrick L. Whitlow William Gray Reginald Low Howard C. Herrmann Scott Lim Elyse Foster Donald Glower | 2009 | Journal of the American College of Cardiology2009，，8： | 1 |
| 12 | Acetabular cup stiff- ness and implant orientation change acetabular loading pat- terns 显示文摘 | Scott R Small MS Michael E | 2013 | J Arthroplasty2013，28，2： | 1 |
| 13 | Reducing uncertainty in site characterization using Bayes Monte Carlo methods显示文摘 | Michael D Sohn Mitchell J Small | 2000 | Journal of environmental engineering2000，126，10： | 1 |
| 14 | Prevalence and nature of hyperamylasemia in acute alcoholism显示文摘 | Dr. Sudhir K. Dutta MD Walter Douglass MD Ulyses A Smalls PhD Henry C. Nipper PhD Michael D. Levitt MD | 1981 | Digestive Diseases and Sciences1981，，2： | 1 |
| 15 | Reducing uncertainty in site characterization using Bayes Monte Carlo methods显示文摘 | Michael D Sohn Mitchell J Small | 2000 | Journal of environmental engineering2000，126，10： | 1 |
| 16 | A new piecewise linear Chen system of fractional-order:Numerical approximation of stable attractors显示文摘In this paper we present a new version of Chen's system:a piecewise linear(PWL) Chen system of fractional-order.Via a sigmoid-like function,the discontinuous system is transformed into a continuous system.By numerical simulations,we reveal chaotic behaviors and also multistability,i.e.,the existence of small parameter windows where,for some fixed bifurcation parameter and depending on initial conditions,coexistence of stable attractors and chaotic attractors is possible.Moreover,we show that by using an algorithm to switch the bifurcation parameter,the stable attractors can be numerically approximated. | Marius-F.Danca M.A.Aziz-Alaoui Michael Small | 2015 | Chinese Physics B2015，24，6： | 1 |
| 17 | Applied Nonlinear Time Series Analysis: Applications in Physics, Physiology and Finance 显示文摘 | Michael Small | 2005 | World Scientific Series on Nonlinear Science Series A2005，52，： | 1 |
| 18 | Extension of the local subspace method to enhancement of speech with colored noise显示文摘 | SUN Jun-feng ZHANG Jie MICHAEL Small | 2008 | Signal Processing2008，88，： | 1 |
| 19 | Network science meets algebraic topology显示文摘Network science is largely consumed with the study of graphs with heterogeneous degree:typically large graphs with no strong topological symmetry.Network science borrows approaches from statistical physics to understand this heterogeneous structure,in a manner quite distinct from the rich symmetry of the graphs that are studied by algebraic graph theorists.Shi et al.[1]move toward bridging this divide by switching the focus from the analysis of node degree sequence to cycles.Rather than focusing on a statistical description of degrees and the connective paths between nodes,they instead study cycles of specific order within networks. | Lingqing Shen David MWalker Michael Small | 2019 | National Science Review2019，6，6： | 0 |
| 20 | Random complex networks显示文摘Exactly what is meant by a ‘complex' network is not clear; however, what is clear is that it is something other than a random graph. Complex networks arise in a wide range of real social, technological and physical systems. In all cases, the most basic categorization of these graphs is their node degree distribution.Particular groups of complex networks may exhibit additional interesting features, including the so-called small-world efect or being scale-free. here are many algorithms with which one may generate networks with particular degree distributions(perhaps the most famous of which is preferential atachment). In this paper, we address what it means to randomly choose a network from the class of networks with a particular degree distribution, and in doing so we show that the networks one gets from the preferential atachment process are actually highly pathological. Certain properties(including robustness and fragility) which have been atributed to the(scale-free) degree distribution are actually more intimately related to the preferential atachment growth mechanism. We focus here on scale-free networks with power-law degree sequences—but our methods and results are perfectly generic. | Michael Small Lvlin Hou Linjun Zhang | 2014 | National Science Review2014，1，3： | 0 |
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