10K 2 0 0 1 4 22 1 2 0 1 2 -1 0 Dynamic simulation periods are specified in Time's definition. This is usually a list of numbers or labels, typically in some unit of time (days, weeks, months, etc.). Use the ÒDynamic()Ó function in your variables to perform dynamic simulation. [0,1,2] Marko Tainio, Jouni T. Tuomisto, Otto HŠnninen, PŠivi Aarnio, Kimmo J. Koistinen, Matti J. Jantunen and Juha Pekkanen. Mon, Mar 26, 2001 14:02 HP_Omistaja 12. lokta 2007 23:34 48,24 1,565,86,590,501,17 Trebuchet MS, 13 0,Model Gasbus_model,2,2,0,1,C:\Temp\gasbus_model2.ana 100,17,17,7,1,9,6533,8533,1,0 Marko Tainio, Jouni T. Tuomisto, Otto HŠnninen, PŠivi Aarnio, Kimmo J. Koistinen, Matti J. Jantunen and Juha Pekkanen. Health effects caused by primary particulate matter (PM2.5) emitted from buses in the Helsinki Metropolitan Area, Finland Risk Analysis, Vol. 25, No.1, 2005. pp.151-160. http://www.ktl.fi/risk/ Model identifier: URN:NBN:fi-fe20051170 96,328,-1 84,24 mtad 21. Marta 2005 11:58 48,24 328,32,1 48,24 1,433,75,559,510,17 mtad 21. Marta 2005 11:58 48,24 240,104,1 48,24 1,36,82,514,473,17 ['BAU A','EURO 2 D2','EURO 3 D3','CRT filter C','Biodiesel B','Alcohol E','Propane G23','Natural gas G22','Propane G32','Natural gas G31'] 344,104,1 48,12 2,102,90,476,593 1,280,290,416,303,0,MIDM [Object Constant] kg/a Table(Pollutant,Strategy)( 24.291K,15.049K,12.039K,6131,11.147K,3943,Undefined,Undefined,3549,3549, 1.373542M,1.373645M,1.070116M,1.226174M,1.560585M,662.458K,Undefined,Undefined,504.252K,504.252K, 76.355K,64.832K,51.866K,11.886K,36.018K,24.844K,Undefined,Undefined,91.558K,261.594K, 449.679K,407.443K,325.954K,41.499K,301.809K,38.536K,Undefined,Undefined,642.272K,642.272K, 112.614452M,110.991732M,113.211566M,115.027795M,114.49346M,102.371073M,Undefined,Undefined,134.124551M,115.574569M ) 344,40,1 48,29 2,294,138,728,569 1,72,82,551,296,0,MIDM 2,39,51,625,303,0,MIDM 65535,52427,65534 [Pollutant,Strategy] [Pollutant,Strategy] 11. YTV, Helsinki Metropolitan Area Council. (1999). Vaihtoehtoisten polttoaineiden kŠyttšmahdollisuudet joukkoliikenteessŠ pŠŠkaupunkiseudulla [The possibilities to use alternative fuels in public transport in the Helsinki metropolitan area]. Helsinki Metropolitan Area Council Publication Series B 1999:5 (in Finnish). Air pollutants, classification by YTV. ['Primary PM','NOx','HC','CO','CO2'] 344,80,1 48,12 2,478,44,476,476 - Table(Strategy)( 1,1,1,Triangular(0.6,1,1.4),1,1,1,1,1,Triangular(0.8,1,1.2)) 224,232,1 52,40 2,102,90,545,344 2,252,40,416,303,0,MIDM 2,502,206,416,303,0,MEAN 65535,31131,19661 [Self,Strategy] [Self,Strategy] g/km 0.321 224,304,1 48,24 2,241,207,731,479 65535,52427,65534 11. YTV, Helsinki Metropolitan Area Council. (1999). Vaihtoehtoisten polttoaineiden kŠyttšmahdollisuudet joukkoliikenteessŠ pŠŠkaupunkiseudulla [The possibilities to use alternative fuels in public transport in the Helsinki metropolitan area]. Helsinki Metropolitan Area Council Publication Series B 1999:5 (in Finnish). - Using a := Total_emissions_from[Pollutant='Primary PM'] do a/a[Strategy='BAU A'] 344,160,1 48,29 2,293,94,611,443 kg/a Relative_emission_fa*Relative_emission_f2*bus_km*(emission_factor/1000)*Rel_bus_activity 344,232,1 48,24 2,369,96,530,410 2,173,156,953,303,0,MEAN [Scenario,Strategy] [0,0,0,0] ['PLJ current 1994','PLJ BAU 2020','PLJ public 2020','PLJ car 2020','PLJ own'] 104,64,1 52,36 2,102,90,545,365 Table(Transportation_devel,Self)( 631K,0, 0,0, 1.007M,0, 0,0, 0,0 ) ['trips per day','bus-km/a'] 224,64,1 48,24 2,102,54,563,362 1,88,98,416,303,0,MIDM 2,51,208,485,285,0,MIDM 65535,52427,65534 [Self,Transportation_devel] [Self,Transportation_devel] 1,I,4,2,0,0 [0,0,0,0] 14. YTV, Helsinki Metropolitan Area Council. (1999). Helsinki Metropolitan Area Transport System Plan PLJ 1998. Helsinki Metropolitan Area Council Publication Series A 1999:4. - using a:= bus_activity[bus_activity='trips per day'] do using b:= a[Transportation_devel='PLJ public 2020']/a[Transportation_devel='PLJ current 1994'] do array(Scenario,[1,b]) 224,128,1 48,24 2,269,119,596,371 [0,0,0,0] ['Current 1997','PLJ 2020'] 224,160,1 52,12 1,361,163 77000000 344,304,1 48,24 2,102,90,548,518 65535,52427,65534 11. YTV, Helsinki Metropolitan Area Council. (1999). Vaihtoehtoisten polttoaineiden kŠyttšmahdollisuudet joukkoliikenteessŠ pŠŠkaupunkiseudulla [The possibilities to use alternative fuels in public transport in the Helsinki metropolitan area]. Helsinki Metropolitan Area Council Publication Series B 1999:5 (in Finnish). Rel_bus_activity 80,152,1 68,36 [Alias We_selected_the_pub1] 52427,56425,65535 mtad 21. Marta 2005 11:58 48,24 240,192,1 48,24 1,277,125,928,468,17 µg/m^3 Var a := (Pers_out[PM_class='Secondary']*Long_range_transport); a:= (Expolis__helsinki[Pm_class='CoPM', Environment='Personal']-a); a:=a*Pm_exposure_fraction[Pm_source='Road traffic']; a 288,152,1 48,24 2,231,121,506,470 1,216,226,695,303,0,MIDM 2,114,163,697,275,0,STAT 65535,31131,19661 [Long_range_transport,Weight_factors_] [0,0,0,0] kg/a PM-emissions from road traffic in Helsinki Metropolitan area 1997. Table(Traffic_source)( 169K,250K,83K) 616,320,1 48,24 2,102,90,608,449 1,313,77,416,303,0,MIDM 1,392,172,416,303,0,MIDM 65535,52427,65534 , [0,0,0,1] 24. MŠkelŠ, K. (2002). Personal communication, Senior Research Scientist, VTT (Technical research Centre of Finland), Building and transport. - (Expolis__helsinki[Environment='Personal']/Expolis__helsinki[Environment='Ambient']) 400,152,1 48,24 2,111,117,476,224 2,150,105,416,303,0,MIDM 65535,31131,19661 [Environment,Pm_class] [0,0,0,0] µg/m^3 Road_traffic*Bus_fraction_ ['Expolis, central','Vallius, high'] 384,320,1 48,24 2,298,181,476,443 1,150,469,905,303,0,MIDM 2,151,101,416,303,0,MIDM 65535,31131,19661 [Self,Long_range_transport] [Index Traffic_source] [0,0,0,0] µg/m^3 using a:= Bus_pm_emission/Bus_pm_emission[Strategy='BAU A', Scenario='Current 1997'] do a*Bus_traffic 384,384,1 48,24 2,102,90,528,418 2,251,132,353,300,0,MIDM [Scenario,Strategy] [0,0,0,0] µg/m^3 triangular(1,2,2.5) ['Transport, Low','Transport, Central','Transport, High'] 288,240,1 48,29 2,102,90,578,407 1,306,109,416,303,0,MIDM 65535,52427,65534 21. ApSimon, H. M., Gonzales del Campo, M. T., & Adams H.S. (2001). Modelling long-range transport of primary particulate material over Europe. Atmospheric Environment, 35, 343-352. µg/m^3 Var a:=Ultra[Ultra='Local traffic']*Ultra[Ultra='PM2.5 total']; a:=average(a) {2.45} 624,152,1 48,24 2,612,168,476,224 2,392,402,416,303,0,MIDM 65535,31131,19661 [0,0,0,0] Vallius, M., Lanki, T., Tiittanen, P., Koistinen, K., Ruuskanen, J., and Pekkanen, J. (2003). Source apportionment of urban ambient PM2.5 in two successive measurement campaigns in Helsinki, Finland. Atmospheric Environment, 37(5), 615-623. µg/m^3 Pers_out[Pm_class='CoPM']*Ultra___traffic 512,152,1 48,24 2,102,90,500,389 65535,31131,19661 - triangular(0.1,(Pm_em_road[Traffic_source='Busses']/Sum(Pm_em_road)),0.25) ['Bussisuhde, low','Bussisuhde, central','Bussisuhde, hight'] 504,320,1 48,24 2,102,90,565,404 2,134,201,829,303,0,MIDM 2,136,146,416,303,0,MEAN ['Cars','Trucks/vans','Busses'] 616,352,1 52,12 2,102,90,476,446 ['CoPM','Secondary','Soil','Detergents','Sea salt'] 288,88,1 48,12 2,102,90,476,458 ['Ambient','Indoor','Work','Personal'] 288,64,1 48,12 2,102,90,524,323 µg/m^3 using a:= bernoulli(0.7) do using b:= a*Road_traffic_a + (1-a)*Road_traffic_b do b 384,256,1 48,24 2,102,90,476,479 1,150,469,905,303,0,MIDM 2,151,101,416,303,0,MIDM [Self,Long_range_transport] [0,0,0,0] µg/m^3 or fraction Table 1. Descriptive statistics for 29 October 1996Ð28 April 1997 (total n = 83) and 2 November 1998Ð30 April 1999 (total n = 164) (median PM2.5 in µg/m^3). Fig.3. Contributions (%) of the identifed source components to average PM2.5 concentration. Table(Self,Ultra_years)( 8.3,10.6, 0.3,0.23, 0.51,0.5, 0.12,0.05, 0.03,0.13, 0.02,0.07, 0.02,0.02 ) ['PM2.5 total','Local traffic','LRTAP','Crustal source','Oil combustion','Salt / Salt & Pb','Unidentified'] 736,152,1 48,24 2,258,33,599,581 2,17,52,416,303,0,MIDM 2,604,264,416,303,0,MIDM 65535,52427,65534 [Ultra_years,Self] [Ultra_years,Self] [0,0,0,0] 23. Vallius, M., Lanki, T., Tiittanen, P., Koistinen, K., Ruuskanen, J., and Pekkanen, J. (2003). Source apportionment of urban ambient PM2.5 in two successive measurement campaigns in Helsinki, Finland. Atmospheric Environment, 37(5), 615-623. ['1996-97','1998-99'] 736,184,1 48,12 2,102,90,476,359 - Var a := (Weight_factors_*Primary_pm_emission); Var b := Sum(a,Pm_source); a/b 176,152,1 48,24 2,102,90,476,524 2,41,224,416,303,0,MIDM 65535,31131,19661 [0,0,0,0] kg/a Table(Pm_source)( 1.064M,50K,60K,502K,40K) 72,152,1 48,24 2,102,90,608,449 2,543,8,339,264,0,MIDM 1,232,242,416,303,0,MIDM 65535,52427,65534 , [0,0,0,1] MŠkelŠ, K. (2002). Personal communication, Senior Research Scientist, VTT (Technical research Centre of Finland), Building and transport. YTV, Helsinki Metropolitan Area Council. (1998). Ilmanlaatu pŠŠkaupunkiseudulla vuonna 1997 [Air Quality in the Helsinki Metropolitan Area in 1997]. Helsinki Metropolitan Area Council Publication Series 1999:1 (in Finnish). - Table(Pm_source)( 0.1,1,1,Triangular(1,2,3),1) 176,240,1 52,28 2,241,99,614,575 2,345,60,339,287,0,MIDM 2,265,156,416,299,0,MIDM 52425,39321,65535 [Self,Pm_source] [Self,Pm_source] [0,0,0,0] ['Energy production','Other point sources','Surface sources','Road traffic','Harbor'] 72,184,1 48,12 2,567,60,437,464 2,487,140,416,321,0,MIDM Table(Pm_class,Environment)( 3.547,2.6,2.95,3.506032, 4.668,3.31,3.38,3.35008, 1.6,2.49,2.42,2.8960864, 0,0.54,0.22,0.670016, 0.3,0.23,0.13,0.23311936 ) 288,32,1 48,24 2,102,90,521,467 2,574,53,416,303,0,MIDM 2,442,98,416,300,0,MIDM 65535,52427,65534 [Environment,Pm_class] [Environment,Pm_class] [Index Pm_class] 22. Koistinen, K., Edwards, R. D., Mathys, P., Ruuskanen, J., KŸnzli, N., & Jantunen, M. (2004). Sources of fine particulate matter in personal exposures and residential indoor, residential outdoor and workplace microenvironments in the Helsinki phase of the EXPOLIS study. Scandinavian Journal of Work, Environment & Health, 30 suppl. 2, 36-46. Pm_em_road 752,320,1 60,48 [Alias Emissions_from_buse1] 65535,65532,19661 Road_traffic 520,256,1 56,36 [Alias The_exposure_was_es1] 65535,65532,19661 mtad 21. Marta 2005 11:58 48,24 168,272,1 56,24 1,358,87,574,369,17 ['Cardiopulmonary','Lung ca','All others','All causes'] 200,200,1 48,12 2,102,90,476,425 m^3/µg Crude_mortality_rat2*plausibility 440,64,1 48,24 2,102,90,476,470 2,264,274,591,328,1,CDFP [M_step_2001,Causes] Index M_step_202 [0,0,0,0] - Includes mechanistic plausibility (coming from toxicological and epidemiological evidence). This plausibility is especially for traffic exhaust primary particles. Does not include aspects related to differential potencies of different particle types. Probtable(Causes,Self)( 0.3,0.7, 0.1,0.9, 0.9,0.1, 0.2,0.8 ) 440,128,1 48,24 2,102,90,476,509 2,28,305,416,303,0,MIDM Formnode Plausibility2 52425,39321,65535 [Self,Causes] [0,1] [Object Constant] RR per PM contrast Original results from PM cohort studies. Table(Causes,Ci,Study)( 1.37,1.09, 1.11,1.03, 1.68,1.16, 1.37,1.14, 0.81,1.04, 2.31,1.23, 1.01,1.01, 0.79,0.95, 1.3,1.06, 1.26,1.06, 1.08,1.02, 1.47,1.11 ) 200,64,1 48,24 2,102,90,569,548 2,28,215,567,291,0,MIDM 2,88,98,659,277,0,MIDM 65535,52427,65534 [Ci,Causes] [Causes,Study] , 16. Dockery, D. W., Pope, C. A., III, Xu, X., Spengler, J. D., Ware, J. H., Fay, M. E., Ferris, B. G., Jr., & Speizer F. E. (1993). An association between air pollution and mortality in six U.S. cities. The New England Journal Oof Medicine, 329(24), 1753-1759. 17. Pope, C. A. III, Burnett, R. T., Thun, M. J., Calle, E. E., Krewski, D., Ito, K., & Thurston, G. D. (2002). Lung Cancer, Cardiopulmory Mortality, and Long-term Exposure to Fine Particulate Air Pollution. The Journal of the American Medical Association, 287(9), 1132-1141. µg/m^3 Table(Study)( 18.6,10) 200,144,1 48,24 2,102,90,476,422 1,28,274,416,303,0,MIDM 65535,52427,65534 , 16. Dockery, D. W., Pope, C. A., III, Xu, X., Spengler, J. D., Ware, J. H., Fay, M. E., Ferris, B. G., Jr., & Speizer F. E. (1993). An association between air pollution and mortality in six U.S. cities. The New England Journal Of Medicine, 329(24), 1753-1759. 17. Pope, C. A. III, Burnett, R. T., Thun, M. J., Calle, E. E., Krewski, D., Ito, K., & Thurston, G. D. (2002). Lung Cancer, Cardiopulmory Mortality, and Long-term Exposure to Fine Particulate Air Pollution. The Journal of the American Medical Association, 287(9), 1132-1141. Sequence( -0.02, 0.05, 2m ) 320,112,1 48,20 2,102,90,476,401 [0,0,0,0] ['Central','0.025 fractile','0.975 fractile'] 200,96,1 48,12 2,102,90,476,407 ['Harvard six cities','ACS 2002'] 200,176,1 48,12 2,102,90,476,434 m^3/µg using a:= ln(Chronic_mortality_rr)/Pm_contrast do using au:= a[Ci='0.975 fractile'] do using al:= a[Ci='0.025 fractile'] do using ac:= a[Ci='Central'] do using b:= (au-al)/2/1.96 do using c:= Cumnormal(Coefficient_space,ac,b) do using d:= Uncumulate(c,Coefficient_space) do using e:= Probdist(d, coefficient_space ) do using f:= (if bernoulli(0.5)=1 then e[study='Harvard six cities'] else e[study='ACS 2002']) do f 320,64,1 48,29 2,102,90,476,578 2,245,357,530,212,0,STAT [Causes,Statistics1] [0,0,0,0] Plausibility 440,240,1 80,68 [Alias Plausibility_was_de1] 52427,56425,65535 mtad 21. Marta 2005 11:58 48,24 240,360,1 48,24 1,608,340,658,380,17 ['Cardiopulmonary','Lung ca','All others'] 184,144,-3 48,12 2,102,90,476,410 Table(Self)( 1,3,4,10) ['Current fleet','Modern diesel','Diesel with particle trap','Natural gas bus'] 296,40,1 48,24 2,102,90,476,363 2,611,131,416,303,0,MIDM var a:= sum(Health_effect,Cause); a:= slice(a,Strategy,Strategies); a[Scenario='PLJ 2020'] 296,112,1 48,24 2,102,90,476,449 2,214,139,538,246,0,CONF 65535,65532,19661 Graphtool:0 Distresol:10 Diststeps:1 Cdfresol:5 Cdfsteps:1 Symbolsize:6 Baroverlap:0 Linestyle:10 Frame:1 Grid:1 Ticks:1 Mesh:1 Scales:1 Rotation:45 Tilt:0 Depth:70 Frameauto:0 Showkey:1 Xminimum:-5 Xmaximum:35 Yminimum:0 Ymaximum:1 Zminimum:1 Zmaximum:5 Xintervals:8 Yintervals:0 Includexzero:0 Includeyzero:0 Includezzero:0 Statsselect:[1, 1, 1, 1, 1, 0, 0, 0] Probindex:[5%, 25%, 50%, 75%, 95%] Arial, 2 [Strategies,Probability2] 98,1,1,0,2,9,4744,6798,7 [0,0,0,0] deaths/a Table(Causes)( 3338,317,2886,6541) 56,112,1 48,24 2,240,66,476,539 2,325,209,416,303,0,MIDM 2,504,514,416,303,0,MIDM 65535,52427,65534 [0,0,0,1] 30. Statistics Finland (2004). Mortality in Helsinki Metropolitan Area 1996. Helsinki: Statistics Finland. deaths/a using a:= ((Exp((Mortality_rate1*Bus_pm_scenarios))-1)*Mortality_data) do a[Causes=Cause] 184,112,1 48,24 2,216,130,476,431 2,134,235,405,329,0,MEAN Graphtool:0 Distresol:10 Diststeps:1 Cdfresol:5 Cdfsteps:1 Symbolsize:6 Baroverlap:0 Linestyle:1 Frame:1 Grid:1 Ticks:1 Mesh:1 Scales:1 Rotation:45 Tilt:0 Depth:70 Frameauto:1 Showkey:1 Xminimum:0 Xmaximum:1 Yminimum:0 Ymaximum:1 Zminimum:0 Zmaximum:1 Xintervals:0 Yintervals:0 Includexzero:0 Includeyzero:0 Includezzero:0 Statsselect:[1,1,1,1,1,0,0,0] Probindex:[0.05,0.25,0.5,0.75,0.95] [Scenario,Strategy] [Index Causes, Index Cause, Objective Health_effect] [0,0,0,0] Var a:= slice(Health_effect,Strategy,Strategies); a[Scenario='PLJ 2020'] 296,176,1 48,24 2,102,90,476,422 2,141,178,560,234,0,CONF [Alias Table_iv1] 65535,65532,19661 [Strategies,Probability2] [Index Cause] [0,0,0,0] Strategies 456,40,1 64,29 [Alias Only_four_strategie1] 52427,56425,65535 1 424,104,1 68,36 52427,56425,65535 We_selected_the_publ 1 432,192,1 60,48 65535,65532,19661 Emissions_from_buses 1 104,192,1 56,36 65535,65532,19661 The_exposure_was_est 1 424,320,1 80,68 52427,56425,65535 Plausibility_was_def 1 104,360,1 64,29 52427,56425,65535 Only_four_strategies mtad 22. Marta 2005 9:49 mtad 22. Marta 2005 9:48 48,24 488,32,1 48,24 1,0,1,1,1,1,0,0,0,0 1,520,81,517,417,17 ['Hei_index','Cause_of_death','Data'] 216,184,1 48,12 1,1,1,1,1,1,0,0,0,0 2,102,90,476,353 subscript(Sort_of_the_data,Hei_output3,Variable3) 216,304,1 48,24 2,102,90,476,422 2,485,195,497,291,0,MIDM [Alias Importance_2] 65535,65532,19661 rank correlation using b:= Abs( RankCorrel( Health_effects_input, Health_comparison ) ) do using c:= b[Strategy='BAU A', Scenario='PLJ 2020'] do b 216,56,1 48,29 1,1,1,1,1,1,0,0,0,0 2,102,90,476,485 2,304,384,824,314,0,MIDM [Hei_index,Strategy] ['Plausibility of Cardiopulmonary mortality','Plausibility of Lung cancer mortality','Plausibility of All other mortality','Dose-response coefficient for cardiopulmonary mortality','Dose-response coefficient for Lung cancer mortality','Dose-response coefficient for All other mortality','Relative emission factor uncertainty','Relative weight factor for road traffic emissions','Exposure to road traffic PM2.5','Concentration of combustion-based long-range transported PM2.5','The fraction of bus exposure of total traffic exposure'] 352,160,1 48,12 2,375,108,476,536 2,532,47,416,303,0,MIDM sequence(1,size(Health_comparison_i1)/size(Strategy)) 216,160,1 48,12 1,1,1,1,1,1,0,0,0,0 2,102,90,476,449 2,168,178,416,303,0,MIDM using a:=Health_comparison_i1[Strategy='CRT filter C'] do using b:= mdarraytotable(a,Ro1,Co1) do using c:= slice(b,Ro1,Hei_table) do c[Co1='Data'] 216,128,1 48,24 2,102,90,476,473 2,567,466,598,330,0,MIDM Sortindex( 1-Sort_of_the_data) 216,240,1 48,24 2,102,90,476,461 2,473,153,722,427,0,MIDM ['Plausibility','Mortality','Emission factor','Traffic iF','Road traffic PM','Long range transport','Bus relation'] 88,88,1 48,12 2,102,90,476,404 Table(Hei_index)( Plausibility,Crude_mortality_rat2,Relative_emission_f2,Weight_factors_[Pm_source='Road traffic'],Road_traffic,Long_range_transport,Bus_fraction_) 88,56,1 48,24 2,102,90,476,428 2,20,150,606,303,0,MIDM 2,259,89,734,426,0,MIDM [Hei_index,Strategy] using a:= health_effect[Scenario='PLJ 2020', Causes=Cause] do using b:= sum(a,Cause) do using c:= b-b[Strategy='Natural gas G31'] do c 352,56,1 48,24 2,102,90,476,458 2,124,74,416,303,0,MIDM Table(Hei_output3)( 1,2,3,5,6,7,9,13,17,21,25) 352,128,1 48,24 2,102,90,476,473 2,40,50,674,303,0,MIDM 1 328,104,1 48,24 Table_iv Reference: Marko Tainio, Jouni T. Tuomisto, Otto HŠnninen, PŠivi Aarnio, Kimmo J. Koistinen, Matti J. Jantunen and Juha Pekkanen. Health effects caused by primary particulate matter (PM2.5) emitted from buses in the Helsinki Metropolitan Area, Finland Risk Analysis, Vol. 25, No.1, 2005. pp.151-160. 120,152,-1 108,144 Table_iv 416,360,1 76,51 65535,65532,19661 Table_iv 312,224,1 76,70 65535,65532,19661 1 488,104,1 48,24 65535,65532,19661 Importance_1 Importance_1 488,224,1 72,70 65535,65532,19661