According to the above data, we can get the figures as follow 例 So after many times simulation under the cond itions d iscussed above, we obtain tatistic results as follow Table 3: The result of the monte Carlo simulation Not Divide Donor Transplant Matching rate 17232 51.71% 13112 739025282 4607 5148% 17542 average775226369 5172 Divide Transplant Matching rate 6917 55.02% 894931156 表的解释部分 By analyzing the above result, we can find: When there are more donors(more resources), the number of transplant will increase obviously, and the matching rate changes only a little; When the network is divided into 1l regions(small networks), the costs of the transport and preservation of the organ will be reduced greatly 例3 Table 7: The R-C preference simulation result (The first simulation Mechanism Total-Trans%oOwn-Donor- Trans% Trade% Waitlist-Up-g graded risk hla- ange3964 1.93 Paired/ direct 59.12 39.64 1948 1.93 TTCC 84.75 15.72 (n=400, Low quality exchange or waiting list=30%) Table 8: The R-C preference simulation result (The second simulation Total-Trans%JOwn-Donor-Trans%Trade% 38.15 38.15 193 3.03 Paired/direct 58.34 38.15 193 TTCC 82.27 1481 17.7 0.91 2.03 n=200, Low quality exchange or waiting list=30%) Table 7 reports the general patient statistics under each regime in the columns. The first column in these tables reports the total live donor transplants as percentage of the population size, which is the sum of next two columns, transplants from own compatible donor and transplants from trades. The forth column is the percentage of patients upgraded to the top of the waitlist as heads of w-chains. The fifth and sixth columns report the quality of matches in the live donor transplants the risk of graft failure relative to the risk under no-exchange mechanism with population size n=400 is reported in the fifth column and the number of hla mismatches for an average transplant is reported in the sixth column. In the table 8, we change the n into 200 表与表之间的比较According to the above data, we can get the figures as follow: 例2 So after many times simulation under the conditions discussed above, we obtain statistic results as follow: 表的解释部分 By analyzing the above result, we can find: When there are more donors (more resources), the number of transplant will increase obviously, and the matching rate changes only a little; When the network is divided into 11 regions (small networks), the costs of the transport and preservation of the organ will be reduced greatly. 例3 Table 7 reports the general patient statistics under each regime in the columns. The first column in these tables reports the total live donor transplants as percentage of the population size, which is the sum of next two columns, transplants from own compatible donor and transplants from trades. The forth column is the percentage of patients upgraded to the top of the waitlist as heads of w-chains. The fifth and sixth columns report the quality of matches in the live donor transplants: the risk of graft failure relative to the risk under no-exchange mechanism with population size n=400 is reported in the fifth column and the number of HLA mismatches for an average transplant is reported in the sixth column. In the table 8, we change the n into 200. 表与表之间的比较