LEADER 01308nam 2200337Ia 450 001 996394112703316 005 20200824121843.0 035 $a(CKB)4940000000114822 035 $a(EEBO)2240941293 035 $a(UnM)99896399e 035 $a(UnM)99896399 035 $a(EXLCZ)994940000000114822 100 $a19981014d1698 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe danger of the Church of England$b[electronic resource] $efrom a general assembly of Covenanters in Scotland. Represented from their principles in oaths, and late acts of assemblies; compar'd with their practices in these last two years. Written in the year 1690. By a true son of the Church 210 $aLondon $cprinted for A. Baldwin in Warwick-Lane$d1690 [i.e. 1698] 215 $a[2], 31, [1] p 300 $aWing (CD-ROM edition) reports date of publication as 1690 [i.e. 1698-1700] 300 $aReproduction of original in the British Library. 330 $aeebo-0018 606 $aCovenanters$zScotland$vEarly works to 1800 615 0$aCovenanters 700 $aTrue son of the church$01004789 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bWaOLN 906 $aBOOK 912 $a996394112703316 996 $aThe danger of the Church of England$92415337 997 $aUNISA LEADER 01679oam 2200433 450 001 9910715156403321 005 20201216140442.0 035 $a(CKB)5470000002508450 035 $a(OCoLC)1155807597 035 $a(EXLCZ)995470000002508450 100 $a20200529d2019 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aHow to use e-signature to sign fuels averaging, banking, trading (ABT) transaction reports in EMTS $eOffice of Transportation and Air Quality EPA moderated transaction system (OTAQEMTS) job aid 210 1$a[Washington, DC] :$cUnited States Environmental Protection Agency,$d2019. 215 $a1 online resource (12 pages) $ccolor illustrations 300 $a"EPA-420-B-19-028." 300 $a"May 2019." 517 $aHow to use e-signature to sign fuels averaging, banking, trading 606 $aMotor fuels$zUnited States$xQuality control$xComputer programs 606 $aDigital signatures 606 $aDigital signatures$2fast 607 $aUnited States$2fast 608 $aOnline resources. 608 $aHandbooks and manuals.$2fast 615 0$aMotor fuels$xQuality control$xComputer programs. 615 0$aDigital signatures. 615 7$aDigital signatures. 712 02$aUnited States.$bEnvironmental Protection Agency.$bOffice of Transportation and Air Quality, 801 0$bELC 801 1$bELC 801 2$bGPO 906 $aBOOK 912 $a9910715156403321 996 $aHow to use e-signature to sign fuels averaging, banking, trading (ABT) transaction reports in EMTS$93456390 997 $aUNINA LEADER 04912nam 2200697 450 001 9910807969303321 005 20200520144314.0 010 $a1-118-76281-9 010 $a1-118-76278-9 010 $a1-118-76280-0 035 $a(CKB)2550000001175433 035 $a(EBL)1583675 035 $a(SSID)ssj0001166499 035 $a(PQKBManifestationID)11657048 035 $a(PQKBTitleCode)TC0001166499 035 $a(PQKBWorkID)11118505 035 $a(PQKB)11455318 035 $a(OCoLC)868925574 035 $a(MiAaPQ)EBC1583675 035 $a(Au-PeEL)EBL1583675 035 $a(CaPaEBR)ebr10822341 035 $a(CaONFJC)MIL556719 035 $a(OCoLC)866840236 035 $a(PPN)191455490 035 $a(EXLCZ)992550000001175433 100 $a20130814d2014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPropagation dynamics on complex networks $emodels, methods and stability analysis /$fXinchu Fu, Michael Small, Guanrong Chen 210 1$aChichester, West Sussex :$cWiley,$d2014. 215 $a1 online resource (330 p.) 300 $aDescription based upon print version of record. 311 $a1-118-53450-6 311 $a1-306-25468-X 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright; Contents; Preface; Summary; Chapter 1 Introduction; 1.1 Motivation and background; 1.2 A brief history of mathematical epidemiology; 1.2.1 Compartmental modeling; 1.2.2 Epidemic modeling on complex networks; 1.3 Organization of the book; References; Chapter 2 Various epidemic models on complex networks; 2.1 Multiple stage models; 2.1.1 Multiple susceptible individuals; 2.1.2 Multiple infected individuals; 2.1.3 Multiple-staged infected individuals; 2.2 Staged progression models; 2.2.1 Simple-staged progression model 327 $a2.2.2 Staged progression model on homogenous networks2.2.3 Staged progression model on heterogenous networks; 2.2.4 Staged progression model with birth and death; 2.2.5 Staged progression model with birth and death on homogenous networks; 2.2.6 Staged progression model with birth and death on heterogenous networks; 2.3 Stochastic SIS model; 2.3.1 A general concept: Epidemic spreading efficiency; 2.4 Models with population mobility; 2.4.1 Epidemic spreading without mobility of individuals; 2.4.2 Spreading of epidemic diseases among different cities 327 $a2.4.3 Epidemic spreading within and between cities2.5 Models in meta-populations; 2.5.1 Model formulation; 2.6 Models with effective contacts; 2.6.1 Epidemics with effectively uniform contact; 2.6.2 Epidemics with effective contact in homogenous and heterogenous networks; 2.7 Models with two distinct routes; 2.8 Models with competing strains; 2.8.1 SIS model with competing strains; 2.8.2 Remarks and discussions; 2.9 Models with competing strains and saturated infectivity; 2.9.1 SIS model with mutation mechanism; 2.9.2 SIS model with super-infection mechanism 327 $a2.10 Models with birth and death of nodes and links2.11 Models on weighted networks; 2.11.1 Model with birth and death and adaptive weights; 2.12 Models on directed networks; 2.13 Models on colored networks; 2.13.1 SIS epidemic models on colored networks; 2.13.2 Microscopic Markov-chain analysis; 2.14 Discrete epidemic models; 2.14.1 Discrete SIS model with nonlinear contagion scheme; 2.14.2 Discrete-time epidemic model in heterogenous networks; 2.14.3 A generalized model; References; Chapter 3 Epidemic threshold analysis; 3.1 Threshold analysis by the direct method 327 $a3.3.4 Threshold analysis for SIS model with super-infection 330 $a Explores the emerging subject of epidemic dynamics on complex networks, including theories, methods, and real-world applications Throughout history epidemic diseases have presented a serious threat to human life, and in recent years the spread of infectious diseases such as dengue, malaria, HIV, and SARS has captured global attention; and in the modern technological age, the proliferation of virus attacks on the Internet highlights the emergent need for knowledge about modeling, analysis, and control in epidemic dynamics on complex networks. 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