Self-rescue in quantitative risk analysis
|
|
|
- Annabel Francis
- 10 years ago
- Views:
Transcription
1 Slf-rscu n quanav rsk analyss I.J.M. Trjssnaar- Buhr & I.M.E. Rabn & T. Wrsma & S.I. Wjnan TNO, Apldoorn, Th Nhrlands ABSTRACT: In quanav rsk analyss (QRA) mhods, h damag of oxc and fr ffcs o prsons s drmnd usng a fxd xposur m. Th modl dscrbd n hs papr nabls o nclud slf rscu n QRA mhods. Th modl can b usd 1) for calculaons of a mor ralsc xposur m, 2) o drmn h numbr of prsons ncapabl of slf-rscu, whch s mporan nformaon for h rscu srvcs 3) o drmn h ffc of safy masurs mprovng slf-rscu. Th modl provds a soluon bwn vacuaon modllng, whch mgh b oo m-consumng and sa-of-h-ar QRA-calculaons, whch hav nsuffcn dal o show h ffc of safy masurs. 1 INTRODUCTION If safy masurs for slf-rscu can no b assssd whn a quanav rsk analyss (QRA), h rsk judgmn sysm dos no mova compans or local auhors o ak masurs, bcaus hr ffcs ar no vsbl n a sa-of-h-ar rsk assssmn. In mos quanav rsk analyss mhods, prsons prsn n h hazardous ara ar assumd o b xposd for a fxd amoun of m. Assumpons for fxd xposur ms ar 3 mnus for a oxc xposur and 2 sconds for xposur o ha radaon. Furhrmor, prsons ar assumd o say on h sam plac. Th raly s dffrn: n cas of an mrgncy, vry prson capabl of scap wll ry o rscu hmslf. In cas of a oxc rlas s possbl ha a saf plac (for xampl nsd a buldng) s rachd whn h prscrbd 3 mnus. On h ohr hand, n cas of fr n crowdd placs, can b xpcd ha popl ar unabl o scap whn 2 sconds. Exampls of mhods ar h Duch probablsc QRA mhods for ranspor of dangrous goods and for saonary nsallaons (Uj d Haag 26). In QRA calculaons whr slf-rscu s vry mporan, for nsanc n unnl safy suds, xnsv calculaons wh vacuaon modls ar prformd. Subsqunly h oupu of h vacuaon modls s usd n h QRA, h vacuaon modl s no ngrad whn h QRA. Th modl dscrbd n hs arcl provds a soluon bwn vacuaon modllng, whch mgh b oo m-consumng and sa-of-h-ar QRAcalculaons, whch hav nsuffcn dal o show h ffc of safy masurs. Th modl can b ngrad n a quanav rsk analyss mhod, hrwh nablng o accoun for slf-rscu and o show h ffc of safy masurs by runnng a sngl QRA modl. Th modl s spcally suabl for QRA s nvolvng rsks o dnsly populad aras, such as ralway saons, sadums, and offcs as wll as for ndusral plans and hr nhabd surroundngs. 2 MODEL OUTLINE In ordr o judg h ffc of slf-rscu mprovng masurs, a modl has bn dvlopd o quanfy h ffc of slf-rscu, dpndng on xposur o fr or oxc chmcals. Th modl dsngushs ha radaon, smok and svral yps of oxc chmcals and quanfs hr ffc on h walkng vlocy and xposur duraon (s Fgur 1). Fgur 1. Slf-rscu n quanav rsk analyss
2 Ohr facors ha ar consdrd n h modl ar h dsanc o a saf locaon and h prsnc of a bolnck n h vacuaon rou. Th modl can b usd for h followng purposs: For fas calculaons of h xposur m and h numbr of prsons ncapabl of slf-rscu; To drmn h ffc of safy masurs mprovng slf-rscu, by calculang h rmanng consquncs for a scnaro afr akng masurs. Subsqunly hs consquncs can b compard o hos of h orgnal scnaro n h QRA. Th followng scons show h rlaons for dscrpon of h oxc ffcs and hr nflunc on h mobly or walkng vlocy. No ha n cas of fr, for nsanc, hr can b nracon bwn oxc xposur and ha xposur: f h mobly dcrass du o oxc xposur (smok), h xposur m o ha can ncras. 3 TOXIC INJURIES For oxc njurs a dsncon s mad bwn asphyxan and rran gass. For an asphyxan produc, such as carbon monoxd, h mos mporan crron for s oxc ffcs s h concnraon n h blood supply o h brans. On h ohr hand, for an rran produc h mos mporan facor s h concnraon n h lnng of h nos, hroa, or lung (Pursr 22). 3.1 Asphyxan fr producs Th Fraconal Incapacaon Dos (FID) modl of Pursr (Pursr 22) has bn slcd o dscrb h ffcs of asphyxan fr producs for hr prsnc n fr smok as wll as for h pur subsanc. Th FID modl rlas h oxc dos nhald by a prson o h dos whr ncapacaon (.. loss of conscousnss) occurs. Th FIN s h sum of h FID valus for all asphyxan fr producs, whch also accouns for hyprvnlaon rsulng from xposur o carbon doxd. Incapacaon occurs by a (cumulad) xposur o carbon monoxd, hydrocyanc acd and oxygn dfcncy (FIN oal =1) or by xposur o hgh concnraons of carbon doxd (FIDCO 2 =1). oal ( FID + FID ) * VCO FID ) FIN = + (1) ( CO HCN 2 O2 whr FID CO, FID HCN and FID O2 = Fraconal Incapacaon Dos for CO, HCN and O 2 rspcvly; CO = carbon monoxd; HCN = hydrocyanc acd; O 2 =oxygn; CO 2 = carbon doxd; VCO 2 = mulplcaon facor hyprvnlaon [-]. Th Fraconal Incapacaon Dos s dscrbd for CO, HCN, O 2, and CO 2 by quaon 2 o 6 (Pursr 22). 5 = [ CO] 1. RMV (2) PID FID CO 36 whr [CO] = CO concnraon n ppm; RMV =Rspraory Mnu Volum n lr/mn, whch s 25 lr/mn a lgh acvy; = xposur m n mn; PID = Prsonal Incapacaon Dos =3%. Th FIDs for oxygn and hydrocyanc acd ar dscrbd by quaons 3 and 4. Equaon 3 and 4 ar vald for rlavly shor xposur m (shorr han 1 hour) and a consan concnraon. FID = (3) O *(2.9 V % O2 ) whr V%O 2 = O 2 volum prcnag; FID HCN = (4) *[ HCN ] whr [HCN] = HCN concnraon n ppm. Carbon doxd (CO 2 ) ncrass h Rspraory Mnu Volum, rsulng n a largr upak ra of ohr gass. Th ncras of Rspraory Mnu Volum by hyprvnlaon s dscrbd by a mulplcaon facor VCO 2 :.193* V % CO VCO 2 = (5) 7.1 whr V%CO 2 = CO 2 volum prcnag. Bsds s ffc on h Rspraory Mnu Volum, CO 2 n slf can lad o ncapacaon whn prsn n hghr concnraons. FID CO = (6) 6 CO * V % Usng quaons 1 o 6, h FIN can b drmnd for oxc fr producs whn fr smok as wll as for h spara oxc subsancs. For asphyxan fr producs h m o ncapacaon and s svry usually show a shor prod of noxcaon ha s followd by a rlavly sharp dcln no ncapacaon (Pursr 22). Th rlaon bwn FIN and mobly s shown n fgur 2 (Unvrsy of Grnwch, 24).
3 Mobly facor 1,,8,6,4,2,,2,4,6,8 1 FIN or FIC Fgur 2. Mobly as a funcon of FIN and FIC 3.2 Irran fr producs FIN FIC Dos calculaons ar appld for ncapacaon ffcs of asphyxan fr producs as wll as for h lhal ffcs of rran fr producs. Howvr, h ncapacaon ffc of rran fr producs s rlad o h concnraon nsad of h dos. Th oxc ffcs ar dscrbd by h Fraconal Irran Concnraon (FIC) modl. [ HCl] [ HBr] [ HF] [ SO2 ] [ NO2 ] FIC = (7) F F F F F HCl HBr whr [HCl] = Hydrochlorc acd concnraon n ppm; F HCl = hrshold concnraon for HCl n ppm; Th hrshold valus for rran fr producs ar gvn n abl 1. Incapacaon occurs whn h FIC quals uny, for whch h oxc ffc of dffrn rran fr producs can b addd. Th rlaon bwn FIC and mobly s shown n fgur 2 (Unvrsy of Grnwch, 24). Tabl 1. Thrshold valus for rran fr producs Toxc gas Svrly rran concnraon (ppm) HBr 2 HCl 2 HF 12 NO2 8 SO2 3 HF SO 2 NO Toxc chmcals In ordr o b abl o ransla h prsnc of oxc chmcals no mobly, h mhods of FID and FIC ar also appld for rlass of oxc chmcals. Th gnral quaons for h FID and FIC mhods ar: FID = FIC = C D ( ) n n = = 1 = ( C) = 1 ( C) n = 1 C F (8) (9) whr C = avrag concnraon n ppm of chmcal ovr h chosn m ncrmn; = chosn m ncrmn n mn; D () = dos of chmcal a m ; (C) = h hrshold dos n ppm*mn; F = hrshold concnraon for chmcal n ppm. Bcaus h FID and FIC hrshold valus ar only known for fr producs, ohr hrshold valus ar rqurd for h oxc chmcals. Th Acu Exposur Gudln Lvl 2 (AEGL-2) s vry suabl for h dfnon of ably of slf-rscu. AEGL-2 s h arborn concnraon of a subsanc abov whch s prdcd ha h gnral populaon, ncludng suscpbl ndvduals, could xprnc rrvrsbl or ohr srous, long-lasng advrs halh ffcs or an mpard ably o scap. AEGL-2 valus ar avalabl for xposur duraons of 1 mnus, 3 mnus and 1 hour, 4 hours and 8 hours. Th subdvson of svral chmcals n asphyxan and rran as wll as hr hrshold valus ar shown n abl 2. Th chmcals n abl 2 ar rprsnav for varous hazard cagors as usd n QRAs. Th AEGL-2 s no (y) drmnd for acrylonrl and hylchlord, h Immdaly Dangrous o Lf and Halh (IDLH) valu s usd for hs chmcals. IDLH s dfnd as a concnraon ha an xposur up o 3 mnus dos no caus dah, srous or rrvrsbl halh ffcs, or dos no mpar or mpd h ably o scap. Tabl 2. Subdvson and AEGL-2 hrshold valus of oxc chmcals. Chmcal Subdvson Concnraon (ppm) 1 mn 3 mn xposur xposur Acrylonrl FID - 85* Ehyl chlord FID - 38* Ammona FIC Chlorn FIC Mhylsocyana FID.4.13 Nrc acd FIC 43 3 * IDLH hrshold valu Th FID can now b drmnd by calculang h hrshold dos (C) from abl 2 and nsrng hs valu no quaon 8. For nsanc, h hrshold
4 dos (C) for acrylonrl s 255 ppm*mn. Th FIC can b drmnd by akng h hrshold concnraon from abl 2, for nrc acd h valu dpnds slghly on h mscal of h calculaons (1 mn or 3 mn valu). Th FID and FIC ar ranslad no a walkng vlocy usng h rlaons shown n fgur 2. 4 THERMAL INJURIES Exposur o hrmal radaon s assumd o hav ll or no ffc on h mobly of h vcms, unl h njurs bcom lhal. Durng h slf-rscu prod, h ha radaon o whch h prson s xposd wll dcras wh h dsanc. Ths s accound for by calculang h ffcv xposur duraon (CPR 16E 1992): 5 3 x 3 u + + ff r 1 1 v (1) 5 u x whr ff = ffcv xposur m (s); x = h nal dsanc o h fr sourc (m); u = h vacuaon vlocy (m/s); r = racon m (= 5 s); v = (x s - x )/u = vacuaon m (s); x s = dsanc from fr sourc whr ha radaon s blow 1 kw/m 2 (m). Th vacuaon vlocy, u, can b nfluncd by xposur o oxc fr producs: f h mobly dcrass h xposur m o ha s ncrasd: u = mobly facor * u, whr u = maxmum vacuaon vlocy. Th ffcv xposur m oband wh quaon 1 can subsqunly b usd o calcula dgr of njurs and lhal vcms du o ha xposur. 5 EVACUATION Two mporan characrscs of h vacuaon rou ar ncludd n h modl, namly h dsanc o a saf locaon and h prsnc of bolncks on h vacuaon rou. 5.1 Dsanc o saf locaon Th dsanc o a saf locaon can b dfnd by a hrshold valu (concnraon, maxmum dos or ha radaon lvl) or can b h dsanc o a plac o shlr, such as a buldng, whr wndows and doors can b closd. Th mobly of a prson s nfluncd by h concnraon or oxc dos o whch h s xposd on hs way o h saf locaon. In cas of fr, h dsanc o a ha rssan shlr or h dsanc o 1 kw/m 2 (x s ) s nsrd n quaon Bolncks on h vacuaon rou Th vacuaon calculaons whn h modl ar no nndd o modl h vacuaon rou n dal. Howvr n cass of mporan bolncks n h rou, such as a door or sars, can b vry mporan o b abl o modl h ffc of h bolnck. Th vacuang prsons nd o pass h bolnck bfor rachng a saf locaon. Th acual xposur m ncrass du o h m ncssary o pass h bolnck. An avrag valu for h xra xposur m du o h bolnck s gvn by: bolnck = n/ C bolnck (11) whr n = numbr of prsons ha nd o pass hrough h bolnck (-); C bolnck = bolnck capacy n numbr of prsons pr mnu. 6 IMPLEMENTATION AND APPLICATION 6.1 Modl mplmnaon Th modl can b mplmnd n svral ways, hs chapr dscrbs h followng xampls: 1 Sraghforward mplmnaon for QRA mhod; 2 Dynamc mplmnaon for scnaro analyss or mor xnsv QRA calculaons. Th dffrnc n mplmnaon s h lvl of dal of modllng h ffc of oxc xposur o h vacuaon vlocy. 6.2 Sraghforward mplmnaon mhod For h QRA mhod a sraghforward mplmnaon s ofn suffcn. In hs cas h vacuaon vlocy s basd on h concnraon profl on h sarng locaon of h prson. For asphyxan chmcals, h frs sp s o sma h xposur m wh h maxmum vacuaon vlocy, u=u, accordng o: xp = r + bolnck +(x s -x )/u; (12) Subsqunly h dos s drmnd usng h concnraon profls C (x, ) on h sarng locaon of h prson: D ( ) = C ( x, d (13) ) FID and corrspondng mobly facor ar calculad wh h quaons n scons 3.1 or 3.3 and fgur 2. Subsqunly h ffcv xposur m s drmnd wh quaon 12, hs m wh u= mobly facor*u :
5 ff = r + bolnck + (x s -x ) / (mobly facor*u ) In h fnal sp h ffcv FID s drmnd usng h ffcv xposur m. Th ffcv FID s usd o drmn whhr a prson wh a cran sarng locaon wll bcom ncapabl of slfrscu durng hs amp o scap (usng fgur 2). For rran chmcals h FIC a h sarng poson s drmnd wh h quaons n scons 3.2 or 3.3 and h mobly facor s rad from fgur 2. Th ffcv xposur m can hn b calculad wh quaon 12, assumng u= mobly facor*u. Th ffcv xposur m s mporan npu for calculang lhal damag. 6.3 Dynamc mplmnaon mhod For a scnaro analyss h vacuaon vlocy wll b calculad dynamcally: whn a prson movs o anohr (safr) locaon, h wll b xposd o a lowr concnraon. Thrfor h oxc dos wll ncras lss compard o sayng on h sam locaon. For ach m ncrmn, h FID or FIC and mobly facor ar calculad and usd as npu for h nx m ncrmn unl a prson hr rachd a saf locaon or s ncapabl of slf-rscu. For rran chmcals C (x,) s npu for quaon 9. For asphyxan chmcals h dos s calculad wh: D ( ) = C ( x, ) d (13) For boh rran and asphyxan chmcals: x = x for r x = x + u(- r ) for > r u= mobly facor*u s drmnd for ach m ncrmn wh FID (as a funcon of D ()) or wh FIC and corrspondng mobly facors. 6.4 Modl applcaons Whn applyng h modl, a mor ralsc xposur m and hrwh a mor ralsc smaon of h (lhal) damag of hs xposur can b calculad. Evn mor mporan, s h us of h modl o sma h numbr of prsons n h hazardous ara, who ar no capabl of slf-rscu. Th FID and FIC can b drmnd for vry xposd prson dpndng on hs sarng locaon. If h FID or FIC of a prson xcds uny, ha prson wll b ncapabl of slf-rscu. Combnng hs nformaon on slf-rscu wh populaon daa ylds h oal numbr of prsons ncapabl of slf-rscu. Th numbr of prsons ncapabl of slf-rscu s mporan nformaon for prparaon and ral-m acvs of rscu srvcs. In ordr o drmn h rscu capacy ncssary o handl h accdn, h numbr of prsons ncapabl of slf-rscu s mor rlvan han h numbr of faal njurs. Th ffcs of safy masurs mprovng slfrscu can b drmnd wh h us of h modl. An xampl of a safy masur s ncrasng h capacy of a bolnck n h vacuaon rou or placng a shlr or saf havn. 7 CONCLUSIONS Wh sa-of h ar QRA mhods, safy masurs for slf-rscu canno y b assssd. Th modl dscrbd n hs papr nabls o nclud slf-rscu n QRA mhods. Th modl dsngushs ha radaon, smok and svral yps of oxc chmcals and quanfs hr ffc on h walkng vlocy and xposur duraon. Evacuaon rou characrscs consdrd n h modl ar h dsanc o a saf locaon and h prsnc of a bolnck n h vacuaon rou. Th modl can b usd o drmn h numbr of prsons ncapabl of slf-rscu, whch s mporan nformaon for h rscu srvcs. Furhrmor h mor ralsc xposur ms oband wh h modl can b usd for mprovng h smaon of lhal damag. Th modl can b ngrad whn a quanav rsk analyss mhod o drcly show h ffc of slf-rscu mprovng masurs. Th modl s spcally suabl for QRAs nvolvng rsks o dnsly populad locaons, such as ralway saons, sadums, offcs as wll as ndusral plans and hr nhabd surroundngs. NOMENCLATURE [CO] Carbon monoxd concnraon (ppm) AEGL-2 Acu Exposur Gudln Lvl 2: arborn concnraon of a subsanc abov whch s prdcd ha h gnral populaon, ncludng suscpbl ndvduals, could xprnc rrvrsbl or ohr srous, longlasng advrs halh ffcs or an mpard ably o scap C bolnck Bolnck capacy (prsons / mn) C (x,) Concnraon profl of chmcal (ppm) F HCl Thrshold concnraon for HCl (ppm) FIC Fraconal Irran Concnraon (-) FID Fraconal Incapacaon Dos (-) FIN Sum of h FID valus for asphyxan fr producs (-) IDLH Immdaly Dangrous o Lf and Halh (IDLH) valu: concnraon ha an xposur up o 3 mnus dos no caus dah, srous or rrvrsbl halh ffcs, or dos no mpar or mpd h ably o scap
6 n Numbr of prsons ha nd o pass hrough h bolnck (-) PID Prsonal Incapacaon Dos (%) QRA Quanav Rsk Analyss RMV Rspraory Mnu Volum (lr/mn) Exposur m (mn) ff Effcv xposur m (s) r Racon m (= 5 s) v Evacuaon m (s) u Evacuaon vlocy (m/s) u Maxmum vacuaon vlocy (m/s) V%O 2 Oxygn volum prcnag (%) VCO 2 Mulplcaon facor hyprvnlaon (-) x x s Inal dsanc o h fr sourc (m) Dsanc from fr sourc whr ha radaon s blow 1 kw/m 2 (m) REFERENCES CPR 16E Mhods for h drmnaon of possbl damag o popl and objcs rsulng from rlass of hazardous marals. Frs don. Comm for h Prvnon of Dsasrs causd by dangrous subsancs. Th Hagu: drcora-gnral of Labour of h Mnsry of Socal Affars and Employmn. ISBN Pursr, P.A. 22. Toxcy assssmn of combuson producs, In: Th SFPE handbook of fr procon ngnrng. 3 rd don. Quncy, Massachuss: NFPA. ISBN Uj d Haag, P.A.M. 26. Handldng Rscobrknngn BEVI (Gudlns for quanav rsk analyss, n Duch). Unvrsy of Grnwch. 24. Buldng Exodus Manual.
Term Structure of Interest Rates: The Theories
Handou 03 Econ 333 Abdul Munasb Trm Srucur of Inrs Ras: Th Thors Trm Srucur Facs Lookng a Fgur, w obsrv wo rm srucur facs Fac : Inrs ras for dffrn maurs nd o mov oghr ovr m Fac : Ylds on shor-rm bond mor
Taxes and the present value assessment of economic losses in personal injury litigation: Comment 1
Taxs and h prsn valu assssmn of conomc losss n prsonal njury lgaon: Commn 1 Sco Glbr Economcs Dparmn Souhrn Illnos Unvrsy Carbondal Carbondal, IL 62901 -mal: [email protected], offc phon: (618) 453-5095 cll
Service Capacity Competition with Peak Arrivals and Delay Sensitive Customers
Submd o Managmn Scnc manuscrp Srvc Capacy Compon wh Pak Arrvals and Dlay Snsv Cusomrs Hayan Wang Oln Busnss School, Washngon Unvrsy n S. Lous, S. Lous, MO 6330,USA [email protected] Tava Lnnon Olsn Oln
The Valuation of Futures Options for Emissions Allowances under the Term Structure of Stochastic Multi-factors
WSEAS RASACIOS on SYSEMS Ka Chang Su-Shng Wang Png K Huang Yu-Rong Yu Zhn h Valuaon of Fuurs Opons for Emssons Allowancs undr h rm Srucur of Sochasc Mul-facors Ka Chang Su-Shng Wang Png KHuang Yu-rongYu
DATA MINING TECHNOLOGY IN PREDICTING THE CULTIVATED LAND DEMAND
DATA INING TECHNOLOGY IN REDICTING THE CULTIVATED LAND DEAND Lu Yaoln a, *, ao Zuohua a a School of Rsourc and Envronn Scnc, Wuhan Unvrsy, Chna, Wuhan - [email protected] KEY WORDS: Daa nng, Fuzzy Logc Thory,
Facts About Chronc Fatgu Syndrom - sample thereof
Cardac Toxcty n Chronc Fatgu Syndrom: Rsults from a Randomzd 40-Wk Multcntr Doubl-blnd Placbo Control Tral of Rntatolmod Bruc C. Stouch, Ph.D 1 Davd Strayr, M.D 2. Wllam Cartr, M.D 2. 1 Phladlpha Collg
QUANTITATIVE METHODS CLASSES WEEK SEVEN
QUANTITATIVE METHODS CLASSES WEEK SEVEN Th rgrssion modls studid in prvious classs assum that th rspons variabl is quantitativ. Oftn, howvr, w wish to study social procsss that lad to two diffrnt outcoms.
Numerical Algorithm for the Stochastic Present Value of Aggregate Claims in the Renewal Risk Model
Gn. Mah. Nos, Vol. 9, No. 2, Dcmbr, 23, pp. 4- ISSN 229-784; Copyrigh ICSRS Publicaion, 23 www.i-csrs.org Availabl fr onlin a hp://www.gman.in Numrical Algorihm for h Sochasic Prsn Valu of Aggrga Claims
Many quantities are transduced in a displacement and then in an electric signal (pressure, temperature, acceleration). Prof. B.
Displacmn snsors Many quaniis ar ransducd in a displacmn and hn in an lcric signal (prssur, mpraur, acclraion). Poniomrs Poniomrs i p p i o i p A poniomr is basd on a sliding conac moving on a rsisor.
Modern Portfolio Theory (MPT) Statistics
Modrn Portfolo Thory (MPT) Statstcs Mornngstar Mthodology Papr Novmr 30, 007 007 Mornngstar, Inc. All rghts rsrvd. Th nformaton n ths documnt s th proprty of Mornngstar, Inc. Rproducton or transcrpton
Methodology of the CBOE S&P 500 PutWrite Index (PUT SM ) (with supplemental information regarding the CBOE S&P 500 PutWrite T-W Index (PWT SM ))
ehodology of he CBOE S&P 500 PuWre Index (PUT S ) (wh supplemenal nformaon regardng he CBOE S&P 500 PuWre T-W Index (PWT S )) The CBOE S&P 500 PuWre Index (cker symbol PUT ) racks he value of a passve
Life Analysis for the Main bearing of Aircraft Engines
f Analyss for th Man barng of Arcraft Engns Png n a, Xaolng Zhang a, png H a, anglang Dng a a School of Mchancs, Elctronc, and Industral Engnrng, Unvrsty of Elctronc Scnc and Tchnology of Chna, Chngdu,
Game of Platforms: Strategic Expansion into Rival (Online) Territory
Gam of Platforms: Stratgc Expanson nto Rval (Onln) Trrtory Sagt Bar-Gll Ϯ Abstract Onln platforms, such as Googl, Facbook, or Amazon, ar constantly xpandng thr actvts, whl ncrasng th ovrlap n thr srvc
QUALITY OF DYING AND DEATH QUESTIONNAIRE FOR NURSES VERSION 3.2A
UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE QUALITY OF DYING AND DEATH QUESTIONNAIRE FOR NURSES VERSION 3.2A Plas rurn your compld qusionnair in h nclosd nvlop o: [Rurn Addrss] RNID PID Copyrigh by h Univrsiy
Adverse Selection and Moral Hazard in a Model With 2 States of the World
Advrs Slction and Moral Hazard in a Modl With 2 Stats of th World A modl of a risky situation with two discrt stats of th world has th advantag that it can b natly rprsntd using indiffrnc curv diagrams,
Children s best interests between theory & practice
Chldrn s bs nrss bwn hory & pracc A dscusson of commonly ncounrd nsons and possbl soluons basd on nrnaonal bs nrss praccs and polcy srags snc 2004 A sudy of h Chldrn s Rghs Knowldg Cnr Commssond by h Dvson
Traffic Flow Analysis (2)
Traffic Flow Analysis () Statistical Proprtis. Flow rat distributions. Hadway distributions. Spd distributions by Dr. Gang-Ln Chang, Profssor Dirctor of Traffic safty and Oprations Lab. Univrsity of Maryland,
INFLUENCE OF DEBT FINANCING ON THE EFFECTIVENESS OF THE INVESTMENT PROJECT WITHIN THE MODIGLIANIMILLER THEORY
VOUME 2, 2 NFUENCE OF DEBT FNANCNG ON THE EFFECTVENE OF THE NVETMENT PROJECT WTHN THE MODGANMER THEORY Pr Brusov, Taaa Flaova, Naal Orhova, Pavl Brusov, Nasa Brusova Fac Uvrsy ur h Govrm of h Russa Frao,
The example is taken from Sect. 1.2 of Vol. 1 of the CPN book.
Rsourc Allocation Abstract This is a small toy xampl which is wll-suitd as a first introduction to Cnts. Th CN modl is dscribd in grat dtail, xplaining th basic concpts of C-nts. Hnc, it can b rad by popl
Online Load Balancing and Correlated Randomness
Onln Load Balancng and Corrlatd Randomnss Sharayu Moharr, Sujay Sanghav Wrlss Ntworng and Communcatons Group (WNCG) Dpartmnt of Elctrcal & Computr Engnrng Th Unvrsty of Txas at Austn Austn, TX 787, USA
UNDERSTAND YOUR UNIVERSE: KNOW YOUR DATA-PRIVACY OBLIGATIONS
Th sno book sapubl a onofm l l rnas hllp.i spr ov d df or nf or ma onalpur pos sonl yanddo sno ons u l galadv orl gal op n onabous p f s ua ons. R ad r sar ur g d o ons ul w hl gal ouns l on r n ng h rown
The influence of advertising on the purchase of pharmaceutical products
Th nflunc of advrtsng on th purchas of pharmacutcal products Jana VALEČKOVÁ, VŠB-TU Ostrava Abstract Th sz of th pharmacutcal markt and pharmacutcal sals s ncrasng constantly. Th markt s floodd wth nw
PARTICULAR RELIABILITY CHARACTERISTICS OF TWO ELEMENT PARALLEL TECHNICAL (MECHATRONIC) SYSTEMS
Maagm Sysms Produco Egrg No 3 7 pp 3 8 PARICULAR RELIABILIY CHARACERISICS O WO ELEMEN PARALLEL ECHNICAL MECHARONIC SYSEMS Zbgw MAUSZAK Marm Uvrsy o Szczc Absrac: h papr characrzs h basc dsrbuos o alur
Multi- item production inventory systems with budget constraints
rodns of h s Inrnaonal Confrn on Manufaurn Ennrn Qualy and roduon Sysms Volum I Mul- m produon nvnory sysms wh bud onsrans ZAI.. AKI parmn of Sass & Opraons Rsarh Coll of Sn Kn Saud Unvrsy.O. ox 55Ryadh
Control of Perceived Quality of Service in Multimedia Retrieval Services: Prediction-based mechanism vs. compensation buffers
1 Control of Prcvd Qualty of Srvc n ultmda Rtrval Srvcs: Prdcton-basd mchansm vs. compnsaton buffrs Aurlo La Cort, Alfo Lombardo, Srgo Palazzo, Govann Schmbra Isttuto d Informatca Tlcomuncazon, Unvrsty
Lecture 3: Diffusion: Fick s first law
Lctur 3: Diffusion: Fick s first law Today s topics What is diffusion? What drivs diffusion to occur? Undrstand why diffusion can surprisingly occur against th concntration gradint? Larn how to dduc th
ERLANG C FORMULA AND ITS USE IN THE CALL CENTERS
IFORTIO D OUITIO TEHOLOGIES D SERVIES, VOL. 9, O., RH 2 7 ERLG FORUL D ITS USE I THE LL ETERS Er HROY., Tbor ISUTH., atj KVKY. Dpartmnt of Tlcommuncatons, Faculty of Elctrcal Engnrng and Informaton Tchnology,
Parallel and Distributed Programming. Performance Metrics
Paralll and Distributd Programming Prformanc! wo main goals to b achivd with th dsign of aralll alications ar:! Prformanc: th caacity to rduc th tim to solv th roblm whn th comuting rsourcs incras;! Scalability:
Technological Entrepreneurship : Modeling and Forecasting the Diffusion of Innovation in LCD Monitor Industry
0 Inrnaional Confrnc on Economics and Financ Rsarch IPEDR vol.4 (0 (0 IACSIT Prss, Singaor Tchnological Enrrnurshi : Modling and Forcasing h Diffusion of Innovaion in LCD Monior Indusry Li-Ming Chuang,
Tax Collection, Transfers, and Corruption: the Russian Federation at the Crossroads 1)
ÝÊÎÍÎÌÈ ÅÑÊÈÉ ÆÓÐÍÀË ÂØÝ ¹ 1 2003 3 ÂÎÏÐÎÑÛ ÒÅÎÐÈÈ Tax Collcton, Transfrs, and Corrupton: th Russan Fdraton at th Crossroads 1) M. Mokhtar, I. Grafova Abstract Aftr thortcally consdrng th problms of tax
GUIDANCE STATEMENT ON CALCULATION METHODOLOGY
GUIDANCE STATEMENT ON CALCULATION METHODOLOGY Adopon Dae: 9/28/0 Effecve Dae: //20 Reroacve Applcaon: No Requred www.gpssandards.org 204 CFA Insue Gudance Saemen on Calculaon Mehodology GIPS GUIDANCE STATEMENT
Advantageous Selection versus Adverse Selection in Life Insurance Market
Covr Pag Advantagous Slcton vrsus Advrs Slcton n f Insuranc Markt Ghadr Mahdav [email protected] Post Doctoral Rsarch Assocat: Jaan Socty for th Promoton of Scnc JSPS, Graduat School
Entity-Relationship Model
Entity-Rlationship Modl Kuang-hua Chn Dpartmnt of Library and Information Scinc National Taiwan Univrsity A Company Databas Kps track of a company s mploys, dpartmnts and projcts Aftr th rquirmnts collction
SPECIAL VOWEL SOUNDS
SPECIAL VOWEL SOUNDS Plas consult th appropriat supplmnt for th corrsponding computr softwar lsson. Rfr to th 42 Sounds Postr for ach of th Spcial Vowl Sounds. TEACHER INFORMATION: Spcial Vowl Sounds (SVS)
An Efficient Load Balancing Algorithm for P2P Systems
648 JOURNA OF OMMUNIATIONS VO 6 NO 8 NOVEMBER An Effcn oad Balancng Algorm for PP Sym Kald Ragab ompur Scnc Dp ollg of ompur Scnc and Informaon Tcnology ofuf Saud Araba abdulawab@fudua Abrac Pr-o-Pr (PP
Linear Extension Cube Attack on Stream Ciphers Abstract: Keywords: 1. Introduction
Lnear Exenson Cube Aack on Sream Cphers Lren Dng Yongjuan Wang Zhufeng L (Language Engneerng Deparmen, Luo yang Unversy for Foregn Language, Luo yang cy, He nan Provnce, 47003, P. R. Chna) Absrac: Basng
Lecture 40 Induction. Review Inductors Self-induction RL circuits Energy stored in a Magnetic Field
ecure 4 nducon evew nducors Self-nducon crcus nergy sored n a Magnec Feld 1 evew nducon end nergy Transfers mf Bv Mechancal energy ransform n elecrc and hen n hermal energy P Fv B v evew eformulaon of
Problem Set 6 Solutions
6.04/18.06J Mathmatics for Computr Scic March 15, 005 Srii Dvadas ad Eric Lhma Problm St 6 Solutios Du: Moday, March 8 at 9 PM Problm 1. Sammy th Shar is a fiacial srvic providr who offrs loas o th followig
Logistic Regression for Insured Mortality Experience Studies. Zhiwei Zhu, 1 Zhi Li 2
Logstc Rgrsson for Insurd Mortalty Exprnc Studs Zhw Zhu, Zh L 2 Prsntd at th Lvng to 00 Symposum Orlando, Fla. January 8 0, 204 Copyrght 204 by th Socty of Actuars. All rghts rsrvd by th Socty of Actuars.
Yuriy Alyeksyeyenkov 1
Çanaa Ünvrss Fn-Eba Faüs Journa of Ars an Sns Sa : 9 / a s 8 Cauaon of Sgna Sours Coornas In D An D Spa ur Asnov Absra hos of auaons of oorna of sgna sours whh ar nassb an r masurmn of hr proprs s mpossb
by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia
Studnt Nots Cost Volum Profit Analysis by John Donald, Lcturr, School of Accounting, Economics and Financ, Dakin Univrsity, Australia As mntiond in th last st of Studnt Nots, th ability to catgoris costs
Bank Incentives, Economic Specialization, and Financial Crises in Emerging Economies
Bank Incntvs, Economc Spcalzaton, and nancal Crss n Emrgng Economs Amar Gand a,*, Kos John b, and mma W. Snbt c a Cox School of Busnss, Southrn Mthodst Unvrsty, 6 Bshop Blvd., Dallas, TX 7575 USA b Strn
Removal of Cu(II) from Water by Adsorption on Chicken Eggshell
Inrnaional Journal of Enginring & Tchnology IJET-IJENS Vol:3 No: 4 Rmoval of u(ii) from War by Adsorpion on hickn Eggshll Nurul Aimi bini Rohaizar*, Norhafizah bini Abd. Hadi*, Wong h Sin* Absrac Th us
CEO Björn Ivroth. Oslo, 29 April 2015. Q1 2015 Presentation
CEO Björ Ivroh Oslo, 29 April 2015 2015 Prsaio Par I `15 Rpor o Highlighs o Group o Sgms o Fiac Par II Mark oulook Summary Appdix 2015 prsaio 2 Highlighs Lyg Bidco AS has acquird 88 % of h shars o No icludig
Modeling Contract Form: An Examination of Cash Settled Futures. Dwight R. Sanders. and. Mark R. Manfredo *
Modlng Conra orm: An xamnaon of Cash ld uurs Dwgh R andrs and Mark R Manfrdo * Papr prsnd a h NCR- Confrn on Appld Commody Pr Analyss orasng and Mark Rsk Managmn Lous Mssour Aprl - 00-0-0 Copyrgh 00 by
Reputation Management for DHT-based Collaborative Environments *
Rputaton Managmnt for DHT-basd Collaboratv Envronmnts * Natalya Fdotova, Luca Vltr Unvrsty of Parma, Italy Abstract Ths artcl addrsss a problm of ntgraton of rputaton managmnt mchansms and lookup procsss
Pedro M. Castro Iiro Harjunkoski Ignacio E. Grossmann. Lisbon, Portugal Ladenburg, Germany Pittsburgh, USA
Pedro M. Casro Iro Harjunkosk Ignaco E. Grossmann Lsbon Porugal Ladenburg Germany Psburgh USA 1 Process operaons are ofen subjec o energy consrans Heang and coolng ules elecrcal power Avalably Prce Challengng
MORE ON TVM, "SIX FUNCTIONS OF A DOLLAR", FINANCIAL MECHANICS. Copyright 2004, S. Malpezzi
MORE ON VM, "SIX FUNCIONS OF A DOLLAR", FINANCIAL MECHANICS Copyrgh 2004, S. Malpezz I wan everyone o be very clear on boh he "rees" (our basc fnancal funcons) and he "fores" (he dea of he cash flow model).
Personalized Web Search by User Interest Hierarchy
Prsonalzd Wb arch by Usr Intrst Hrarchy Abstract Most of th wb sarch ngns ar dsgnd to srv all usrs, ndpndnt of th nds of any ndvdual usr. Prsonalzaton of wb sarch s to carry out rtrval for ach usr ncorporatng
No 28 Xianning West Road, Xi an No 70 Yuhua East Road, Shijiazhuang. [email protected]
On-Ln Dynamc Cabl Ratng for Undrground Cabls basd on DTS and FEM Y.C.Lang *, Y.M.L School of Elctrcal Engnrng * Dpartmnt of Elctrcal and Informaton X an Jaotong Unvrsty Hb Unvrsty of Scnc and Tchnology
EUROPEAN ECONOMY EUROPEAN COMMISSION DIRECTORATE-GENERAL FOR ECONOMIC AND FINANCIAL AFFAIRS
EUROPEAN ECONOMY EUROPEAN COMMISSION DIRECTORATE-GENERAL FOR ECONOMIC AND FINANCIAL AFFAIRS ECONOMIC PAPERS ISSN 1725-3187 h://c.uroa.u/conomy_fnanc/ndx_n.hm N 263 Dcmbr 2006 Caal srucur and nrnaonal db
The Sensitivity of Beta to the Time Horizon when Log Prices follow an Ornstein- Uhlenbeck Process
T Snsiiviy of Ba o Tim Horizon wn Log Prics follow an Ornsin- Ulnbck Procss Oc 8, 00) KiHoon Jimmy Hong Dparmn of Economics, Cambridg Univrsiy Ocobr 4, 00 Sv Sacll Triniy Collg, Cambridg Univrsiy Prsnaion
(Analytic Formula for the European Normal Black Scholes Formula)
(Analytic Formula for th Europan Normal Black Schols Formula) by Kazuhiro Iwasawa Dcmbr 2, 2001 In this short summary papr, a brif summary of Black Schols typ formula for Normal modl will b givn. Usually
Estimating Powers with Base Close to Unity and Large Exponents
Divulgacions Mamáicas Vol. 3 No. 2005), pp. 2 34 Esimaing Powrs wih Bas Clos o Uniy and Larg Exponns Esimacón d Poncias con Bas Crcana a la Unidad y Grands Exponns Vio Lampr [email protected]) FGG,
MTBF: Understanding Its Role in Reliability
Modul MTBF: Undrsanding Is Rol in Rliabiliy By David C. Wilson Foundr / CEO March 4, Wilson Consuling Srvics, LLC [email protected] www.wilsonconsulingsrvics.n Wilson Consuling Srvics, LLC Pag
Non-Linear and Unbalanced Three-Phase Load Static Compensation with Asymmetrical and Non Sinusoidal Supply
Non-Lnar and nbalancd Thr-Phas Load Statc Comnsaton wth Asymmtrcal and Non Snusodal Suly Rys S. Hrrra and P. Salmrón Elctrcal Engnrng Dartmnt Escula Poltécnca Suror, nvrsty of Hulva Ctra. Palos d la Frontra,
Question 3: How do you find the relative extrema of a function?
ustion 3: How do you find th rlativ trma of a function? Th stratgy for tracking th sign of th drivativ is usful for mor than dtrmining whr a function is incrasing or dcrasing. It is also usful for locating
AP Calculus AB 2008 Scoring Guidelines
AP Calculus AB 8 Scoring Guidlins Th Collg Board: Conncting Studnts to Collg Succss Th Collg Board is a not-for-profit mmbrship association whos mission is to connct studnts to collg succss and opportunity.
Pricing Freight Rate Options
Prcng rgh Ra Opon n Kokbakkr a Roar Adland b* gbørn ødal c a Agdr Unvry Collg rvcbox 4 4604 Kranand orway. Emal: [email protected] b Clarkon und anagmn Ld. 3 Lowr ham r London EC3R 6HE Und Kngdom. Emal:
How To Write A Recipe Card
Employng Rlvanc Fdback to mbd Contnt and Srvc Importanc nto th Slcton Procss of Compost Cloud Srvcs Dmosthns Kyrazs, Nkolaos Doulams, Gorg Kousours, Andras nychtas, arnos Thmstoclous, Vasslos C. Vscouks
Sun Synchronous Orbits for the Earth Solar Power Satellite System
Sun Synchrnus Orbts fr th Earth Sar Pwr Satt Systm Sm f th mst prmsng rbts fr th Earth Sar Pwr Systm ar crcuar Sun synchrnus rbts whch nvr ntr Earth's shaw. In ths rbts, gravty grant stabz "pwr twrs" w
An Architecture to Support Distributed Data Mining Services in E-Commerce Environments
An Archecure o Suppor Dsrbued Daa Mnng Servces n E-Commerce Envronmens S. Krshnaswamy 1, A. Zaslavsky 1, S.W. Loke 2 School of Compuer Scence & Sofware Engneerng, Monash Unversy 1 900 Dandenong Road, Caulfeld
Index Mathematics Methodology
Index Mahemacs Mehodology S&P Dow Jones Indces: Index Mehodology Ocober 2015 Table of Conens Inroducon 4 Dfferen Varees of Indces 4 The Index Dvsor 5 Capalzaon Weghed Indces 6 Defnon 6 Adjusmens o Share
Category 7: Employee Commuting
7 Catgory 7: Employ Commuting Catgory dscription This catgory includs missions from th transportation of mploys 4 btwn thir homs and thir worksits. Emissions from mploy commuting may aris from: Automobil
is knowing the car market inside out.
Exprts s knowng th car markt nsd out. Vokswagn Group Lasng s both a ft managmnt company and a dvson of Vokswagn Fnanca Srvcs (UK) Lmtd. Ths aows us to offr a comprhnsv rang of srvcs wth packags to sut
Intermediate Macroeconomic Theory / Macroeconomic Analysis (ECON 3560/5040) Final Exam (Answers)
Intrmdiat Macroconomic Thory / Macroconomic Analysis (ECON 3560/5040) Final Exam (Answrs) Part A (5 points) Stat whthr you think ach of th following qustions is tru (T), fals (F), or uncrtain (U) and brifly
Increasing Net Debt as a percentage of Average Equalized ValuaOon
City of Orang Township Warning Trnd: Incrasing Nt Dbt as a prcntag of avrag qualizd valuation Nt Dbt 3 yr. Avg. qualizd Valuation Incrasing Nt Dbt as a prcntag of Avrag Equalizd ValuaOon rc 1.20% 1.00%
Voice Biometrics: How does it work? Konstantin Simonchik
Voic Biomtrics: How dos it work? Konstantin Simonchik Lappnranta, 4 Octobr 2012 Voicprint Makup Fingrprint Facprint Lik a ingrprint or acprint, a voicprint also has availabl paramtrs that provid uniqu
Probabilistic detection of short events, with application to critical care monitoring
Pobablsc dcon of sho vns, wh applcaon o ccal ca monong Nom Alks U.C. Bkly [email protected] Sua Russll U.C. Bkly [email protected] Mchal G. Maddn Naonal U. of Iland, Galway mchal.maddn@nugalway. Dan Moabo
Econ 371: Answer Key for Problem Set 1 (Chapter 12-13)
con 37: Answr Ky for Problm St (Chaptr 2-3) Instructor: Kanda Naknoi Sptmbr 4, 2005. (2 points) Is it possibl for a country to hav a currnt account dficit at th sam tim and has a surplus in its balanc
ANALYSIS OF ORDER-UP-TO-LEVEL INVENTORY SYSTEMS WITH COMPOUND POISSON DEMAND
8 th Intrnatonal Confrnc of Modlng and Smulaton - MOSIM - May -2, 2 - Hammamt - Tunsa Evaluaton and optmzaton of nnovatv producton systms of goods and srvcs ANALYSIS OF ORDER-UP-TO-LEVEL INVENTORY SYSTEMS
Analyzing Energy Use with Decomposition Methods
nalyzng nergy Use wh Decomposon Mehods eve HNN nergy Technology Polcy Dvson [email protected] nergy Tranng Week Pars 1 h prl 213 OCD/ 213 Dscusson nergy consumpon and energy effcency? How can energy consumpon
ME 612 Metal Forming and Theory of Plasticity. 6. Strain
Mtal Forming and Thory of Plasticity -mail: [email protected] Makin Mühndisliği Bölümü Gbz Yüksk Tknoloji Enstitüsü 6.1. Uniaxial Strain Figur 6.1 Dfinition of th uniaxial strain (a) Tnsil and (b) Comprssiv.
Genetic Algorithm with Range Selection Mechanism for Dynamic Multiservice Load Balancing in Cloud-Based Multimedia System
ISSN : 2347-8446 (Onlne) Inernaonal Journal of Advanced Research n Genec Algorhm wh Range Selecon Mechansm for Dynamc Mulservce Load Balancng n Cloud-Based Mulmeda Sysem I Mchael Sadgun Rao Kona, II K.Purushoama
EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS
25 Vol. 3 () January-March, pp.37-5/tripathi EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS *Shilpa Tripathi Dpartmnt of Chmical Enginring, Indor Institut
MODEL-BASED APPROACH TO CHARACTERIZATION OF DIFFUSION PROCESSES VIA DISTRIBUTED CONTROL OF ACTUATED SENSOR NETWORKS
MODEL-BASED APPROACH TO CHARACTERIZATION OF DIFFUSION PROCESSES IA DISTRIBUTED CONTROL OF ACTUATED SENSOR NETWORKS Kevn L. Moore and YangQuan Chen Cener for Self-Organzng and Inellgen Sysems Uah Sae Unversy
A Theoretical Model of Public Response to the Homeland Security Advisory System
A Thortical Modl of Public Rspons to th Homland Scurity Advisory Systm Amy (Wnxuan) Ding Dpartmnt of Information and Dcision Scincs Univrsity of Illinois Chicago, IL 60607 wxding@uicdu Using a diffrntial
Basis risk. When speaking about forward or futures contracts, basis risk is the market
Basis risk Whn spaking about forward or futurs contracts, basis risk is th markt risk mismatch btwn a position in th spot asst and th corrsponding futurs contract. Mor broadly spaking, basis risk (also
FACULTY SALARIES FALL 2004. NKU CUPA Data Compared To Published National Data
FACULTY SALARIES FALL 2004 NKU CUPA Data Compard To Publishd National Data May 2005 Fall 2004 NKU Faculty Salaris Compard To Fall 2004 Publishd CUPA Data In th fall 2004 Northrn Kntucky Univrsity was among
Modelling Exogenous Variability in Cloud Deployments
Modllng Exognous Varablty n Cloud Dploymnts Gulano Casal 1 Mrco Trbaston 2 [email protected] [email protected] 1 : Impral Collg London, London, Untd Kngdom 2 : Ludwg-Maxmlans-Unvrstät, Munch, Grmany
Estimating Private Equity Returns from Limited Partner Cash Flows
Esimaing Priva Equiy Rurns from Limid Parnr Cash Flows Andrw Ang, Bingxu Chn, William N. Gozmann, and Ludovic Phalippou* Novmbr 25, 2013 W inroduc a mhodology o sima h hisorical im sris of rurns o invsmn
Rural and Remote Broadband Access: Issues and Solutions in Australia
Rural and Rmot Broadband Accss: Issus and Solutions in Australia Dr Tony Warrn Group Managr Rgulatory Stratgy Tlstra Corp Pag 1 Tlstra in confidnc Ovrviw Australia s gographical siz and population dnsity
How To Calculate Backup From A Backup From An Oal To A Daa
6 IJCSNS Inernaonal Journal of Compuer Scence and Nework Secury, VOL.4 No.7, July 04 Mahemacal Model of Daa Backup and Recovery Karel Burda The Faculy of Elecrcal Engneerng and Communcaon Brno Unversy
DEVELOPMENT OF MODEL FOR RUNNING DIESEL ENGINE ON RAPESEED OIL FUEL AND ITS BLENDS WITH FOSSIL DIESEL FUEL
ENGINEERING FOR RURAL DEVELOPMENT Jlgava, 3.-4.5.3. DEVELOPMENT OF MODEL FOR RUNNING DIESEL ENGINE ON RAPESEED OIL FUEL AND ITS BLENDS WITH FOSSIL DIESEL FUEL Ilmars Dukuls, Avars Brkavs Latva Uvrsty of
THE USE IN BANKS OF VALUE AT RISK METHOD IN MARKET RISK MANAGEMENT. Ioan TRENCA *
ANALELE ŞTIINłIFICE ALE UNIVERSITĂłII ALEXANDRU IOAN CUZA DIN IAŞI Tomul LVI ŞnŃe Economce 009 THE USE IN BANKS OF VALUE AT RISK METHOD IN MARKET RISK MANAGEMENT Ioan TRENCA * Absrac In sophscaed marke
GENETIC ALGORITHMS IN SEASONAL DEMAND FORECASTING
forcasing, dmand, gnic algorihm Grzgorz Chodak*, Wiold Kwaśnicki* GENETIC ALGORITHMS IN SEASONAL DEMAND FORECASTING Th mhod of forcasing sasonal dmand applying gnic algorihm is prsnd. Spcific form of usd
Asian Development Bank Institute. ADBI Working Paper Series
ADB Worng ar Sr E mrgn of ang Agn: mlaon for E abl hng a gonal ang Agny n A a Yng Y Ta and -Gang u No. 4 Augu 00 Aan Dvlomn Ban nu Yng Y Ta an aoa rofor Darmn of Ald Eonom Naonal Unvry of Kaohung TaChna.
Preface. P.1 Purpose. P.3 Authority. P.4 References. Procedures for Performing a Failure Modes, Effects, and Criticality
Pfa Sandad fo Pfomng a Falu Mod and Effs Analyss (FMEA) and Esablshng a Cal Ims Ls (CIL) (DRAFT) Flgh Assuan Podu (FAP) 322-209 P.1 Pupos An FMEA an b dsbd as a sysma goup of avs nndd o: (a) ognz and valua
WORKERS' COMPENSATION ANALYST, 1774 SENIOR WORKERS' COMPENSATION ANALYST, 1769
08-16-85 WORKERS' COMPENSATION ANALYST, 1774 SENIOR WORKERS' COMPENSATION ANALYST, 1769 Summary of Dutis : Dtrmins City accptanc of workrs' compnsation cass for injurd mploys; authorizs appropriat tratmnt
Part 2 - Notes on how to complete your application form
Tuton F Loan applcaton nots for nw part-tm studnts 2012/13 About ths nots Ths nots should b rad along wth your Tuton F Loan applcaton form. Th nots ar splt nto thr parts: Part 1 - Gnral nformaton Part
5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power
Prim numbrs W giv spcial nams to numbrs dpnding on how many factors thy hav. A prim numbr has xactly two factors: itslf and 1. A composit numbr has mor than two factors. 1 is a spcial numbr nithr prim
Prices of Credit Default Swaps and the Term Structure of Credit Risk
Prces of Cred Defaul Swaps and he Term Srucure of Cred Rsk by Mary Elzabeh Desrosers A Professonal Maser s Projec Submed o he Faculy of he WORCESTER POLYTECHNIC INSTITUTE n paral fulfllmen of he requremens
Sharp bounds for Sándor mean in terms of arithmetic, geometric and harmonic means
Qian t al. Journal of Inqualitis and Applications (015) 015:1 DOI 10.1186/s1660-015-0741-1 R E S E A R C H Opn Accss Sharp bounds for Sándor man in trms of arithmtic, gomtric and harmonic mans Wi-Mao Qian
Use a high-level conceptual data model (ER Model). Identify objects of interest (entities) and relationships between these objects
Chaptr 3: Entity Rlationship Modl Databas Dsign Procss Us a high-lvl concptual data modl (ER Modl). Idntify objcts of intrst (ntitis) and rlationships btwn ths objcts Idntify constraints (conditions) End
