简介：IthasbeentwoyearsandeightmonthssincethefirstissueofPhotonicsResearchwaspublishedinJune2013.Duringthattime,thephotonicsandopticscommunityhasprogressedonmanyfronts,ashasthejournal.Advanceshavebeenreportedinlasers,microringresonators,nanowaveguideproperties,nano-optics,ultrafastoptics,metamaterials,andnonlinearoptics,tonamebutafewthatcontinuetopushforwardtheboundariesofphotonicsandopticsresearch.In2014,

简介：

简介：

简介：

简介：Manyreal-worldsystemscanbemodeledbyweightedsmall-worldnetworkswithhighclusteringcoefficients.Recentstudiesforrigorouslyanalyzingtheweightedspectraldistribution(WSD)havefocusedonunweightednetworkswithlowclusteringcoefficients.Inthispaper,werigorouslyanalyzetheWSDinadeterministicweightedscale-freesmall-worldnetworkmodelandfindthattheWSDgrowssublinearlywithincreasingnetworkorder(i.e.,thenumberofnodes)andprovidesasensitivediscriminationforeachinputofthismodel.ThisstudydemonstratesthatthescalingfeatureoftheWSDexistsintheweightednetworkmodelwhichhashighandorder-independentclusteringcoefficientsandreasonablepower-lawexponents.

简介：在小世界网络基于我们的以前联合脉搏的integrate-and-Gre神经原模型，我们在这个模型生产的象electroencephalographic一样信号的复杂行为上调查不同连接拓扑学的效果。我们证明若干次，经常是的系列分析方法使用了分析electroencephalographic-likesignals的复杂行为，例如在重新可伸缩的范围分析(R/S)以内的阶段空间，关联尺寸，分数维的尺寸，和林中小丘代表的重建。我们发现不同连接拓扑学在integrate-and-fire神经原的模型导致不同动态行为。

简介：UsingthedecompositiontheoryofU(1)gaugepotentialandb-mappingtopologicalcurrenttheory,weinvestigatethetopologicalinnerstructureofChernSimonstensorcurrent.ItisproventhattheU(1)Chern-Simonstensorcurrentinfour-dimensionalmanifoldisjustthetopologicalcurrentofcreatingthestringworld-sheets.

简介：Nuclearmassmeasurementsprovidevaluableinformationonthenuclearbindingenergywhichreflectsthesummedresultofallinteractionsamongitsconstituentprotonsandneutrons.Thesystematicandaccurateknowledgeofnuclearmasseshavewideapplicationinmanyareasofsubatomicphysicsrangingfromnuclearstructureandastrophysicstothefundamentalinteractionsandsymmetriesdependingontheachievedmassprecision[1].

简介：<正>Weintroduceamodifiedsmall-worldnetworkaddingnewlinkswithnonlinearlypreferentialconnectioninsteadofaddingrandomly,thenweapplyBak-Sneppen（BS）evolutionmodelonthisnetwork.Westudyseveralimportantstructuralpropertiesofournetworksuchasthedistributionoflink-degree,themaximumlink-degree,andthegthoftheshortestpath.Wefurtherargueseveraldynamicalcharacteristicsofthemodelsuchastheimportantcriticalvaluefc,thef0avalanche,andthemutatingcondition,andfindthatthosecharacteristicsshowpanticularbehaviors.

简介：基于小世界网络在一个pulse-coupledintegrate-and-fire神经原模型变老和自我组织的criticality的效果被学习了。我们给老化网络，平均最短的路径长度，我们的网络的直径，和聚类的系数的度分发，并且发现我们的神经原模型显示幂定律行为，并且与然后增加的连接增加的棕土，老化的效果变得越来越小。这证明如果大脑以自我组织的criticality状态工作，它能减轻老化引起的一些效果。