3.1 The occurrence of PFASs in surface water
A total of 12 PFASs were detected, including 3 PFSAs (C4, C6, and C8), 8 PFCAs (C4-C10, C13) and F-53B (Fig. 2) The concentration of total PFASs (sum of the 12 PFASs, ΣPFASs) in the Caohai Wetland ranged from 1.78 ng/L to 112.21 ng/L (mean = 19.43 ng/L). The detection frequency of each analyte varied widely between sampling sites; PFTriDA was observed at the lowest number of sites (52.38%). The predominant PFASs in the Caohai Wetland were PFBA (0.81–17.38 ng/L, 48.12%), followed by PFOA (0.12–2.10 ng/L, 14.61%) and PFBS (0.00-4.57ng/L, 11.59%). PFOS exhibited a relatively lower concentration (0.00-0.14 ng/L, 0.76%). In the Caohai Wetland, the short-chain PFASs were detected at higher concentrations and detection frequencies compared to long-chain PFASs. This observation can be explained by the significant usage and high solubility of short-chain PFASs(Zhou et al. 2013). In fact, short-chain PFASs, especially PFBA, have become the most important PFASs under the restrictions of PFOA and PFOS.
As a substitute for PFOS, F-53B has been widely used as a mist suppressant in China's electroplating industry for decades. Research shows that F-53B is the most bioaccumulative PFAS, with a high frequency of detection in wastewater, rivers and surface water around electroplating industrial parks(Wang et al. 2013; Wei et al. 2018). Surprisingly, the concentration of F-53B in the Caohai Wetland was low, in the range of 0.14–1.48 ng/L (mean 0.48 ng/L); however, it was detected at all sampling sites. The occurrence and concentration of F-53B was similar to that observed for the Xiaoqing River (mean 0.419 ng/L) and Tangxun Lake (0.149 ng/L) (Shi et al., 2015).
To determine the relative degree of pollution, the concentration of PFBA、PFOA、PFOS in Caohai wetland were compared to other sites investigated by other researchers (Table 5). The concentration of PFBA in Caohai wetland was much lower than that in Tangxun Lake (1820–6280 ng/L), which is near a production base of the fluorochemical industry inWuhan, China, and was similar to Baiyangdian (3.0-14.6 ng/L) (Zhou et al., 2012), but slightly higher than that found by other researchers (Table 5). The concentration of PFOA and PFOS was both lower than other lakes. Overall, the concentration of PFASs in Caohai wetland is at a lower level compared with other lakes.
Table 5
Comparison the concentration (ng/L) of PFBA, PFOA and PFOS with previous study
Study area | PFBA Min-Max (mean) | PFOA Min-Max (mean) | PFOS Min-Max (mean) | References |
Caohai wetland | 0.81–17.38 (5.37) | 0.12–2.10 (1.61) | n.d.-0.14 (0.09) | This study |
Chaohu Lake | 0.31–6.77 (2.04) | 1.32–23.51 (8.62) | n.d.-0.82 (0.08) | (Liu et al. 2015) |
Tangxun Lake | 1820–6280 (4580) | 70.5–1390 (372) | 73.4–1650 (357) | (Zhou et al. 2013) |
Taihu Lake | 0.6–4.06 (0.86) | 2.15–73.9 (28.2) | 0.5–10.5 (3.54) | (Guo C. et al. 2015) |
Poyanghu Lake | n.a. | 0.30–1.89 (1.10) | n.d.-0.71 (0.35) | (Wang et al. 2015) |
Baiyangdian | 3.0-14.6 | 6.8–56.8 | 0.1–17.5 | (Zhou et al. 2012) |
Dianchi | | 3.41–35.4 (10.31) | 1.71–15.1 (7.78) | (Zhang et al. 2012) |
Yangtze River | 0.45–8.38 (1.67) | 1.02–15.8 (8.44) | n.d.-3.93 (0.79) | (Pan et al. 2014) |
Yellow River | 6.35–53.5 (18.8) | 2.01–41.8 (11.5) | 2.65-41.0 (10.8) | (Zhao et al. 2016) |
Pearl River | 0.20–3.34 (1.65) | 0.71–8.70 (3.70) | 0.52-11.0 (3.30) | (Zhang et al. 2013) |
Huaihe River | n.a. | 6.20–47.0 (18.0) | 1.40–25.0 (4.70) | (Yu et al. 2013) |
Hunhe River | n.a. | 1.52–6.32 | n.d.-0.91 | (Jin and Zhu 2016) |
Daliao River | n.a. | 5.81–7.12 | 1.54–1.65 | (Gong et al. 2016) |
Lake Superior | n.a. | 0.178–0.95 | 0.051–0.271 | (De Silva et al. 2011) |
Lake Michigan | n.a. | 1.876–2.573 | 0.326–0.901 | (De Silva et al. 2011) |
Lake Erie | n.a. | 1.564–2.11 | 0.972–1.427 | (De Silva et al. 2011) |
Lake Huron | n.a. | 0.493–3.84 | 0.507–1.192 | (De Silva et al. 2011) |
Lake Ontario | n.a. | 1.706–3.724 | 1.102–5.669 | (De Silva et al. 2011) |
River Rhine upstream | 1.60–2.48 (2.13) | 0.61–3.44 (2.13) | 1.41–6.38 (3.70) | (De Silva et al. 2011) |
River Rhine downstream | 75.5–188 (117) | 2.26–4.07 (3.11) | 3.03–7.34 (4.13) | (Möller et al. 2010) |
“n.d.” means not detected; “n.a.” means not available. |
3.2 The distribution of PFASs in Caohai Wetland
The sampling sites were divided into four sides: the inlet included S1—S3; town side is near urban land and some ports and industrial parks, which included S4 --- S13; the outlet included S14 --- S17; village side is far away from Weining town and is the mainly cultivated land, which included S18 --- S21. The highest concentrations of both PFBA and ΣPFASs occurred at S1 (Dazhong River, ΣPFASs: 22.67 ng/L), followed by S14 (ΣPFASs: 20.11ng/L). The Dazhong River is a tributary of the upper reaches for the Caohai Wetland, and receives domestic sewage and agricultural irrigation water. Therefore, the disorderly discharge of rural domestic sewage to the Dazhong River has been considered the one source of the high concentrations of PFASs in the wetland, especially in the absence of other point sources. Samples from S14 were collected from the only outlet of the Caohai Wetland. The change of water flow rate causes PFASs to be absorbed and intercepted by a large amount of vegetation along with the suspended solids(Tang et al. 2020). And the specific reasons need to be further confirmed.
Weining is the largest region and possesses the highest elevation in Guizhou Province; its main population lives in the Winning town. The economy of this region is mainly based on traditional agriculture, supplemented by the handicraft industry, resulting in the disorderly use of pesticides. In addition, several automotive repair facilities and electroplating factories are scattered throughout the caohai town. Therefore, PFASs input to the wetland adjacent to the town are probably related to emissions from human and agricultural activities. However, it is notable that the concentration of PFASs varied slightly between the sampling sites in the town side region (mean 10.81 ng/L). During field investigations, we found that the largest concentration of artificial purification wetlands were located near S5 and S6. These artificial wetlands may have had a purification effect on the discharged pollutants(De Martis et al. 2016; Zhu et al. 2010). Consequently, despite the serious problems of disorderly discharge from untreated sewage and the dumping of waste, the concentration of PFAS near the town was relatively low. In addition, the concentration of PFASs in the village side region (mean 6.72 ng/L) was lower than town side. Within the village side area, rural domestic sewage is thought to have contributed significantly to PFAS concentrations. In summary, although the concentration of PFASs is lower than other lakes, its pollution problem cannot be ignored, especially in a town that is under urban construction and has inadequate wastewater treatment facilities.
3.3 Source tracing using a PCA-MLR model
The multiple sources of PFASs complicate the identification of PFAS sources in the aquatic environment. Therefore, a PCA-MLR model was applied to analyze the contributions of the 10 main PFASs in the Caohai Wetland from the predominant sources. Three principal components were extracted, accounting for 72.18% of the total variance (Fig. 3).
PC1 explained 41.93% of the total variance with a high loading of PFNA, PFHxA and PFOA. PFNA has often been used as a surfactant to produce perfluoropolymer polyvinylidene fluoride, which is a typical marker for the degradation of FTOHs. PFHxA has been widely used in paper food packaging and water/oil repellent paper coatings as a substitute for PFOA, which can also be produced by the conversion of precursor substances during sewage treatment(Qi et al. 2016; Xiao et al. 2012). Thus, PC1 was interpreted to represent the degradation of FTOHs and food-packaging emission sources.
PC2 contributed 18.15% of the total variance and is characterized by high loadings of PFBS, F-53B and PFHxS. These species are mainly used in textile treatments and metal plating as substitutes for PFOS(Qi et al. 2017; Xie et al. 2013).
PC3 contributed 12.1% of the total variance with high loadings for PFBA and PFHpA, which are indicators of human and livestock excretion and atmospheric precipitation, respectively (Chen et al., 2016). Wang et al. (2018) confirmed that semi-volatile precursors of PFOA are more susceptible to degrade at high altitude sites due to their lower temperatures(Wang et al. 2018). As noted earlier, the Caohai Wetland is located on the Tibetan Plateau where it is subjected to the southeast blowing monsoon. The “Global Fractionation Effect” and “Mountain Cold-trapping Effect” of POPs enables this area to vary in response to vertical changes in ocean currents. Hence(Daly and Wania 2005), PC3 is thought to represent the combined effects of atmospheric precipitation and surface runoff.
3.4 Ecological risk assessment
A total of 22 and 24 acute toxicity values were collected for PFOS and PFOA, respectively. SSD curves were then fit to the data (Fig. 4.a.b). The PFOS curve is on the left of the PFOA curve (Fig. 4.c).
Indicating that ecological risk of PFOS is higher. The HC5 values can be calculated using the SSD curves. Once calculated, the HC5 data can be used to analyze the toxic effects of different pollutants on the same freshwater organism. The acute HC5 for PFOS (1.7 mg/L) is two orders of magnitude lower than that for PFOA (101.5 mg/L). However, the results demonstrated that the toxicity of PFOS is much larger than that of PFOA. Thus, there is a significant difference in the HC5 values between this study and Liu et al(Liu et al. 2015), because different types of toxicity data were selected. Liu et al selected 12 and 10 chronic toxicity data (NOEC) for PFOA and PFOS, respectively. The toxicity data of algae were not included because those data would cause a relatively high uncertainty in the SSD curve. In general, chronic toxicity data are more consistent with actual long-term environmental exposure, which is more meaningful for the derivation of water quality criteria(Xing et al. 2014).
In the use of SSD, the detected concentration of a contaminant is usually used for calculating the PAF (Potential affected fraction) for ecological risk assessment(Xu et al. 2015). The estimated PAF of PFOA and PFOS at every sampling site is shown in Table 6.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAmIAAAICCAYAAABsoqG8AAAAAXNSR0IArs4c6QAAIABJREFUeF7s3QOUJUvTNeC8tm3btm3bts25tm3btm3btq333n89ub7sv+b0aU/3dPdErjVruvvUqcraGRWxY0dU1UD//ffffylGIBAIBAKBQCAQCAQCgUCXIzBQELEuxzwOGAgEAoFAIBAIBAKBQEYgiFgYQiAQCAQCgUAgEAgEAv0JgSBi/Qn4OGwgEAgEAoFAIBAIBAJBxMIGAoFAIBAIBAKBQCAQ6E8IBBHrT8DHYQOBQCAQCAQCgUAgEAgi1oIN/O9//0u33XZb+vHHH9Nqq62WhhhiiHZZzc0335w+/fTTtOWWW7bp++eff376999/0yabbJK/d8EFF6R//vknbbrpps3u59dff01HHnlkWnbZZdPss8/e17afffZZuuSSS9Lqq6+eJpxwwjbNp2z81ltvpbPOOisdc8wx7fp+d/zStddem95///206667dsfpdcqcTjvttPTkk0+mSSedNNvUWGON1SnH6Q47/fLLL9Nhhx2WdthhhzTxxBN3hym1ag580K233pp++eWXtMoqq7TbB7XqYE1s9Ndff6WLL744jT766Gm55ZZr06423njjtNVWW6XZZputTd9rz8aHHHJImnnmmdPSSy/dnq83+s6VV16ZPv744wHKJ/QT4GInbUKgRSJ21FFHpVNPPbXJna600krphBNOaPLzO++8M22++eb58wceeCBNNNFEfW0rkJ988slpjjnmSILCqKOO2qYT+Pvvv/P3jjvuuOwgTjnllDZ9//jjj29y/kjMqquumlZeeeW0/vrrZyc+zDDDtGn/ZeOffvopmesoo4zS6u+fccYZaffdd8+E6Zxzzsnf++677/L/I488crP7Qd6++uqrNPzww6ehhx66YVtOfcMNN0z33HNPuuWWW9Iss8zS6vmUDRHK7bffPt100035nKrD01Dqkbsdd9wx7bTTTnWPtcgii+Q1nGKKKRo+v/HGG9P++++ffvjhh0bf2XfffdNmm23W5nk39wVYbLfddmmyySZLd911Vz/dN6wLkS47ti6nn356mnfeeRsd6+qrr87k6KCDDupr7fbZZ5902WWXZWJeHaONNlq24Xr7au5EXCuDDDJImnvuuTPWrp+NNtooPfbYY2ndddft66vDDjtsOumkk5K1OvTQQzMJrx2uXdd79Rp2XX/xxRd50ymnnDJdfvnljWx3ggkmyJ+7xpZZZpkkiXCcfjm+/fbbTMCuuOKK9Pjjj/dFClwnSy21VPrmm2/6OqRrb4sttkj33ntvgw+rndOll17aF+6+I3iXcd9996VJJpmk7qlceOGF6bXXXssJU3PDNcV/WPcRRxwxDTTQQP0Smhb35bhwg8Xee++d9tprrxa/U90AkeH3qn6oTTtoZuNHHnkkDTnkkGnWWWdNRx99dNpvv/0SMtYvkqnrr78+28zUU0+d7rjjjn415dhPINAIgRaJGKfrIqLkCOCcx3rrrZcuuuiifHFyvFSbpoYsTtC07Ztvvpkmn3zyvjZFLBZaaKE00kgjZQc2xhhjtGqZEIpnn302BxH7RJJWXHHFVn23upGLd4YZZkiLL754zto4Y4GQ8zjwwAMTMoSMlmy6vUSszRP7vy9wfs61ELH27qf6vddffz07mMMPP7xdRMy+OECB87333ms0JYFt6623ztn7WmutlW644YYc2JHlQsrLlzhONoVcUWQGHnjghv19/vnnabzxxss2Vg3M1lpA6NfDHJ555plOcbpPP/10vn6QgEEHHTQHi2OPPTa9/fbbafzxx284FWrnggsumIPu2WefnaaZZpq+TvOJJ57IWCKLRdV58cUX0yeffJJJTGsHgrv22mtnm6+ncLzwwgt5vgKQ4I8swP3ll1/O1xtC5Tpx7Y8wwgj5sGeeeWZaY401Mvl/9NFH0x577JH3z1+Uz/3N3Km0SLxzYIsCJ0XSz645SVC/HrCGLXusVWfYLLIMW+cgCPtZosZmrd9uu+2Wz7ckkw899FC2VwSYkio5kYRILI2HH344UYOQM1gONthgDaeEnDpX58wHwqw7j99++y2fH1LZViLWWedFpTMn9jXPPPPkw8w333xphRVW6CdEzP6s3UsvvdQpPqGzcIn99jwEWiRiskFOc7jhhmtExJzuddddlxUj45prrsmZG4fDOXFYVSKmPMfhIXYuGKpOPSLGST344IM5M55rrrnSVFNN1QhZTnDNNdfMc0MK2+vIqBWLLrpo3n+ViPmdSrLkkks2EDEO+o033kjjjDNOJo+DDz54JkkUBE6ebF8vgAiuAqg5Tj/99Onrr79Ozz//fJpuuunS7bffnqgN8Bp77LHzPBAQmbQAB7MqEeO4ZWiUjKeeeioHM2UleJovIrnAAgvk795///2ZYFo7w+8ffPBBXh+YIWJ+Rj6mnXbaTMoEIA5uzjnnzEHSelpXg/JSgnZbiBg1gtpkbkhVyeidJ6IGS3gIwGOOOWbDWtcSMb/DqpxPrVHYN7UONs7FORlXXXVVxt3asTdrWrD2+XnnnZdt8u67707vvPNOI6cLYxg5NpukYlDv7BNegrHAXhQ9jts/SYIAZh5VIsYOkCdEdokllsj2VYYyOJvwOaKEBFTJaS0RMxf20NRwXOTJcC1RpZwDEuW47IPtwaSKa5WIWZNXX301bbDBBmn++efPhLpKxHzPGg811FAZI/aNxAiOe+65Z75OynCNOUdEDTbslromeBp+tjb1riNkk1/4888/cwnVvB3b2vz+++/5+K+88kq+DqulKQkbPCV7EgRKbktEjJ1IDFwvzz33XCMihsgiy3zYH3/8kRMJ25p/Va2Gk2QK3tbaoHDxqzBme9aguaoC/8HHuP74Qkmi80Tg7cP+JD3Ov95wDIOfcF1bD+0JfIxr3e9VBdS1rfXA4Bsdp0rEqIcwMRdKFB9izVU8fv7555xoaOMwHzjyYdYXoS8DftaS3fDhWj4QV8Pas3n+ynW58MIL50SYr7b2/AUsYEvJpeLyefCtJWJKur5rTtbcnOHFV1K/+YTvv/8+f79aroYZZZetWtdQxJp0MfFBP0CgRSJWPUatIlY+44jOPffc7OCQMgHVxUVtckEVRUxGqQyhHLnttttmp8iBVhUx8rUs0v8cmgBNGXDRlOFil01SUlx4HIUAsc466zTpjFqDVS0R8x1OUMAScDk7jkGvhDLNjDPOmB0pp+a8/E35TQAtozhd+3Zeu+yyS1KmKwSXo3OxC9rbbLNNdu6yMMqgY1FNnCNFzP779OmT1RROR+mK0sihCbIcE8cDZwSZc+eoEWLBXblPcBRUfW57TlgQga/9mguCtvPOO2eSpPSMePpne6SMItIviNiJJ56YnZ8AKVixIYGijFoi5vwFWAGldsBTqY0qyqGzO+vmPKwdu1QmQ2SRNOqOQQXhcO0TORU8akuTCBp7HXfccXOQYLOCDlJjX8iR8gj8BCyKAZz9nULi96aIGAJULU05P2VaduU75lst6dQSMclBtRRWxcUcEQOBU8BBDtmM9bNfxy3Bix02R8QEfte/gMUmq0QM1uyODboOJAjsxrFrVToJFAzZZin7C3TWgZ9A0uEL6+oQ6Nk+AlbUc+fi+uIL/G9+SLhWCqSceiOY+x0R4EvMyd9aS8Q+/PDDrLxXFTEqLZvgn9gUMmG9ETfXvzmUwR7gilArRRv8pV5P/sP1xo9Z16b685A4SiJblgjxIxIGShC7PeCAA/K+rXN1SIIPPvjgBoLsGqHyqwCwSfN0LtRltoJUIU3K3+zQOTt/640cU58of2zWebEJiiGi7jjIlX3AgX3Bhm9xXSHLVXXXtmzIfBBCROyII47IJXnz5Hedk34v9uLYElfzsY0YgwzCxbrz/2y4SsSQJ/tgZ/ZpHVz38HJs6qjvOXeJK0XXkCCxP9eu6xCBDCLWmgga27QXgX5CxDhBFx9SwAkjGrIQxiv7L0TMhcNxyKw5X1mJAFYlYhyoi8sFRHGQ7bt4OKEyZLcuPuoaEoI4CEacm4uuvaM5IuaYlABBwPnI+AR9Dkr2SAmQnSFMiFl1UIIoQs6HQuAcOUL7E9gEB06NI3LhCxicgqAk24OR/doP5wYLpI0KR20p5SIOm5MUuGXQcOaAZIOO6/yoCPYvYHCwM800U+6rkGkiErJbwdN3ETHOGjExd47efmDcFiJG/VhsscUykSw3GcCI8/a3QqwpSvqgqoqZQCHgwcANExx6lZQXnJEXBNP+zM2+YebckSVY67VjJ5y4bdiLICEYOk9rYh1qnS5bRo7ZslK9wAtLwRXhUOpSsrJmcESOlCDLP2W3KhFzLpIUQUhpt5AOxxWQBQrrh5wKigJQGT4XbCgCzs3cHLN2wNQ14pzNp8zLtYqQI7lUENdqS6VJCQFc4UOBcw0LZIJjuXmFHSHCiBgFUsIBW9d2dQjkbBaOjk0xEazZvXV2LbO92uF7zgfOtkPckCsEm78QoBF5czUX+CJbri9kgf1JSlwfyEZLRMxalL5QNmv9ECBrz1YkSqUvryQMCJ81qx1sGFHjHw1+i004Z+tCwWOTpYRb+31rLGmFJZuDvSSGfSNzsHBN1JbrJcb2yz6RP8kEsgIzx+JD7FNCwb5d14g5P0ClQ4glRo7BH1tv16ZrSdXCd1xnjm1e/AZ7Q3Ds17WMePt7LRFzjsi1+Vg3BE5yiFSzfQmiVhZ/53/8DDPqNF/rejdXtmtu9UqT1l2cgZX1LJg5tuOyP2sqhvDdklU+VN+f7SUYfC0/G0SsvVE1vtcaBPoJEXMgDoVD4jBkGJQOhEOmUe0RQ1xctGRmQUW2USVinDniJdC44Dg9AQNZKAOh4yR9V0Cl0gg2Lizkor2jOSJWesRcnJwY58JBcRTVGxCQIBletWG5tr9CRie710sia+eQYSbYUfU4FzgatT1i1AzOihM1EEJBhcOAg3KtQf3gWK0B6Z0KycFal2qPWEtETOZqe9+nesjeYd0aImYba2gIrhy3wI0MyJgFpFKuoTIiRHAoClCtIiaocKD1FDElFmsEewEAThy8tZHZIgWyX46WfSGoHLsgUnpemuoRQ2oQUPuBsxIZW6E8sl3ERlBExNg3ZQj+RfVB3gsRE9xKqbGcD3wEGGttbWHmmMg7RUAAqRKxao+Y68C51Q7Bg50iB+WGDHMURJGp1hIx5LcoPM6nlAyripjPBSp2iIgJvlRhpAkBqg7zYnPUOH6A33C+Rd1gM4goclU7kCDzsW+k2/WDnFk/xKD0qiJ6bA2xX3755bNdGK3pEbNOxWbNz3qw2aoiRoFnP7ajZCMUMHZM12W1mZ6ywwbZSVkn80Y0SkuEc9V+gKjVuyubzZiLJAyZcp1Qe5F09sa/SqCQk+pgXwhQbX+p669c17Cj+Lm+7Z/q7xoqN9wgxuUGh2qP2LvvvptJDH/LB2phkFS4Jvh1iR7FUgKLzNUjYuaKPLJFyajzcn3ZrwRHCZZ/0J/MX5ReRPj6G//WHBHjE9iFWCN+sAs+gfLoGmVnlD/2ar6Uc9c5v24tjegRa280je+1BYF+QsQEEYGUMVMZOAQXV3NEzIXJmWl+rxIxztQFIvhwMNX+mHJiAgkH7LjUHRcw5yxwydDaO9pKxFzMnJdsvPQ/UFSQq2q/RluImGBMfSrEsyUiJnBxHs6bUqDsUEvEOEnqCwIi+60lYtQJAa5WEeMEHV9ZEkEUZCgdrSVipVm/XkDlwOFWcBKQZb5UQSqgUUvElNcoHkh6dQhiVA6P5BB4ETWkqiUiJgtGIgrR6RdEjGome6cCUiQED0GktjRZi4lyqvmaTwnkgohriBpUVLPa0qRrqN4dhr6DsCGbgpqBAAg2Am1riRiCVe3bK/OuEjGExFo6V+ujT4966ppkL9UmdVgjEc4LGaHWlKBn3xIQnwn01YG0S170t7Fl5EUQbY6IFRWXYiwxag0RK836tetT26wPPySL2mVO5TqlzlR7oawXwoVowAO5kJRU+5GoVfyY9dEPVTvaS8T4UkkCjMuAgTkjmPDnZyQokthS1mOHlETD53w1G26KiPE51ob6ZG0piFpTWkPE4Oq47B/RRtyo1vyD2GA/yJ3kzLobiCQf5vOmiJhYRGFDIimAbNjcWiJi/Ch7pqYFEWtvJI3vtRWBfkLEOCXyOGkXSeL4lU1qiZhSDQWCs3Hxy7ZkLVUi9tFHH+WLj5OlvsgQOZKqbM/xcd4Cr0DEubn4KUK1pZC2ANJWIoaQCPzKfcijIVOjHCg/ldEWIiZQ6omTxcrgKDv6xgQwKlytIga/8ndKUGlCrypi5sKJKvNyZkgCJU3mR+UyX8GKWkJpUF5AMm0jeCBACLFSLLLSUSKGNAkIgm7ByXkglOYjgxUsmrprsnZN9cIIzMpF5qc0JvC1RMQQP3aEVFBpBHXY+JtAVUZbFDHngfwIyEphrgs23RwRQ5RtTzlwXRQihnwoubCvovbUu2uyno0L3oi1a9B1gRzAm71STfslEStKRZkHDKg/8BeglQMNJR+/s1NkW0mfqkHlKXfTIjSuF4lddejr8l1Bmm/hY1zzzREx2yiTsXv7458QLcRVUlJVVmvvmmyJiFU/d31ScpEWxyyPTuDv2CPFyDkj6Y6PiFWVQvYLD9euNau9GaW9RMy17FqlOrmOESWJomRMkmSNXGd8smTM3BAYPtw1hKjxAa5LdtkUEdMALyGlviJwkgaqVmuImLWmKrJxaynpK9/n8xAw1xH74BORayTM9SRRRPj5Xtght8rV/rEj5+Lc+AaxhILYEhGjjtke8dQSoD2DYmj9SpWiLTEltg0EWoNAq4iY3iSZLYfuwnFxCP6kbyoMRYJTpIZRg1ws+r/8TRbigqJiuFDJ+DIo5biSpXBgAj1CQAVT4pGhyWJ9Tw2/mmU6McHLhSFjNx/BEwnipNs6BCXfR4I4VURRmdCFLUgjaM4RcZS5IRIIhJ9Lv0q5M81nCE4ZvgcnF7e5cU6IlmZbDsw5IzgUIY5DqcA/x3UMjs0+EAuqlGCiNAJTZSLzVeaxRpw4hQkx5TStARleMNaLwzlRvsxZ8HQcjoyj85mSG8frdw7I8ZBBGbtz4sT9zCnqBbQu9s8plseOyFY5U6UPc7F/hLkMhINTs52sl8M2YK8sIVggm8pcVAJBgQ3Iiv2rN2AgqHDIsDJn32Vfzls/mkAie6a4KdU6B4oYm1QON3/2xg454erz3mAtoFKrrB2nXpp/XRMy7qKKsElrhTAhGgIa5VaQc1znAnfkowzkqJRkfafcAexacCzDWktKbGet2abjFOWiHi7mBDPnY+7Ih4CMdFhbJXLZv+uVSlaGYISMww4m9lF9Bhw7oxggCMqursFqH5v9sGc2jpjYzrCNEpiSofk4VzZUbhixDXXE9VJ7FzTbRGpdZ+Ys8Eo22Aobse72jbCyXyTLflxjbNQ/fsc1SyVBxsrdnPBAjMyHL2Er7LEM54c8uXacr+tNSbg6HB9eEkYEyGD/1s+1AwM+xu/Kt6oG+rAM85Yg2Yf9UxSrw3XBJ5qvfUiYJAf8HduyT+SdnZbryfddFwisNXC9O3+27vpHgKlPSI9zVla0pq5X+2Xf9onAwoPdFx+GtOnjKuVCP/PhbmDgs2zP98CIn+AfJMjOoV5bgeuWgotoUU99z/Woz8/gK1xHrhn7R9rED9cDP4ecI4tiC3/qfMQd589WDWScXSj1syFrzu6dq+uRv7LG5mJtyh3c/ACfQF1r6dmNdZ1T/DEQaAUCrSJirdhPbBIIBAKBQCAQCAQCgUAg0EYEgoi1EbDYPBAIBAKBQCAQCAQCgX6FQBCxfoVk7CcQCAQCgUAgEAgEAoE2IhBErI2AxeaBQCAQCAQCgUAgEAj0KwSCiPUrJGM/gUAgEAgEAoFAIBAItBGBFomYu2ViBAKBQCAQCAQCgUAgEAi0HgGPz6n3JpjaPbRIxKpPiW794WPLQCAQCAQCgUAgEAgEBlwEPFqm9lE39dBokYjVvjdxwIU0zjwQCAQCgUAgEAgEAoHWIeD5p+WVfc19o0Ui1rrDxVaBQCAQCAQCgUAgEAgEAm1FIIhYWxGL7QOBQCAQCAQCgUAgEOhHCAQR60dAxm4CgUAgEAgEAoFAIBBoKwJBxNqKWGwfCAQCgUAgEAgEAoFAP0IgiFg/AjJ2EwgEAoFAIBAIBAKBQFsRCCLWVsRi+0AgEAgEAoFAIBAIBPoRAj2eiB1++OFpqqmmSiuuuGKG5KyzzkqDDz542nDDDfsRRPV388EHH6Tjjjsu7bfffmm00Ubr1GPFzgOBQCAQCAQCgUCgdyLQYSL2448/ps022yw9/PDDaY455kgeYHb77benNddcs9MR22233dIZZ5yR9tprr7T33nvn45mPh9AOP/zwnXr8v//+O/3www9p5JFHToMMMkh6+eWX008//ZTmmWeeTj3ugLzz7bffPl199dWNIHj++efTv//+mzbZZJP0wgsvNPp82mmnzd/zTBfjlVdeSauvvnr6/vvv8+9LL710Ovfcc5uEFqm3ve1i9C4EVl111fToo4/2dVKjjz56uvfee9PPP/+cVllllfT55583OunFF188nXrqqWnYYYfNn919991pm222yd/hDzbaaKN08MEH9/W98847Lx166KHZVv3v+UJzzz13crwYgUAVAb7stttu6wuUJZZYIh111FF17YWPWmONNdJSSy3V8J233347bb311tnf1Y4ZZ5wxx+kY3QOBDhMxiz/KKKOk0047LS84ZQox22OPPbrkDJdccsk0//zzNxCxLjlozUH++eefdOKJJ6bxxhsvB+wYnYeAoMm53HTTTWmCCSZIk046aRpssMHSddddl5VRZO2LL75IV111VcMkLr/88mwjo446aibuF198cTr99NPTbLPNlrfZcsst09dff52OP/74NP744/c1+TvvvDOttdZaaZ111skKqGPF6F0IsJ0zzzwzXXTRRWmMMcZI4447bppkkkny72xMUBxhhBHy+hu//fZbuuOOO7JNIWKCo0T05JNPTlNOOWX65Zdfsg+UDB522GHZP953331p3333TZdddlkaa6yx0pFHHpkef/zxhJz5PUYgUIsA23nvvfeybarA8EPskT8bdNBBGzZni2uvvXZab7310jHHHNPIR62wwgppwgknzDGqDPHad0pyGuj3XwQ6TMQEP45qhx12yAbw3HPPpUceeSQHROOpp57KfzNkf9NPP33OGh944IE088wzp2effTZ5ej+npsR37bXXZqfnHU0c1J9//pkefPDBNOaYY6YXX3wx/fXXX2mRRRbJhmXUErErr7wyH8O83njjjfTEE0/k7WWsSpbrrrtuA+IPPfRQeu2113KGYRvHrR3/+9//8vEF6hK4J5544nyBOK+VVlopk4L9998/zTTTTHneG2+8cfrmm2/SXXfdlc/VXJyf8eabb2Z8ZpllljTEEEPkz2K0HoFaIkYBg+3RRx+dtthii0ZEjM3MMMMM+QA33HBDJsoc18ILL9xw0I8//jhtsMEGWc084IADsqJRAq7XU9hWwKSalX21fsaxZXdHoJaIsQ9BzXovv/zyjYjYq6++mqaZZpp8WsjajjvumNUFFYEyXnrppdwewRdsu+22iV866aST0jXXXJP92nfffZcuueSStNpqqwUR6+4G0o75WV9Ee7rppsu2MdRQQ6UFFlggV00ee+yxXEkRu4Ybbri8d8mhODTSSCPlOKOqUyVifJJEgMAhXpZ2GEkBW+WjLrjgguynHLM6aokY2xQjY3QfBDpMxLbbbrt0/fXXJxJ/nz590jDDDJM+/fTTNNFEE2WiwgmR6QVQ5ITT8yJxsv28886byK2UtI8++iirGwIdYrPoootmJ0buJ9HON998WXZl3H/88Uc2UuSsSsT0izFW/3OKu+yySyY9Spicn2xBRjr77LNnkiTT4AjNk3N1UVxxxRV9rY5A7zsc780335yzkllnnTWXQ5HMt956K91///25V8zcF1tssUw4lWgpMMjf+eefn+fk5Z/IAvL2zDPPZKxqyxfdxzS650xqiZi1W2ihhTIR23zzzfsiYgiW8tERRxyRT8baWav3338/O8Yyfv/996xWCMD2hyAbkgUlKokGQoasseWBBx64e4ITs2oXArVETOC01ojYcsst1xcRk4Bdeuml+Xo3+DDBlS8YcsghG46vRYI9vvPOOznZlBCyIT5OMkiN4PME3+r32nUC8aVuh4C4x58QG5S3b7311qykshexiCKFVGl3EB+UvwkB4g/1lKhRS8SOPfbY/J0vv/wyq6zFR91zzz0NPop/8q/6jugqEXv99ddzPBUbY3QfBDpMxCg+SjoIBTaP2Ah+BuNDPDgczg2xUjaiVPk7h8RoyPqICumUo9I/ITgeeOCBSTDF+CkVSBuDXXbZZbORImZVIqZnCwFDvDg9ZSjkEOmhoC2zzDLZsSJ3O+20UyZK++yzT3r66afTIYcckoNxUb3KEiFsiKG5cdiCMMPmjJ03ovbtt9/mcpn5OUcBnOOlEspk/E2pQ4bswpQtIX4uuKIcdh+T6N4zqSViSPWvv/6a1S5EF56IPqemZCxBYAcCI3Xjk08+Se+++25fJ/nff//lUhHFQqAtgZEDPeecc/K+kDl2QtlArmP0HgRqiRhFgeJA7VKmRMooWRI1vaEIFn/lumd/yJQEsTrYlJK3YPzhhx9mW6RE8B16E/Ut8h9zzTVX7wEyzqQBAaoXkUIsE6Mk80iW8rXyoh5qsUocsp3knb/Zc889c6lb6bFKxIgb4iB7lOSX0uTKK6+ciRzbtL1Eko+qtlCwOWTNNipKSJi4F6P7INBhIqZkx2lxNogGxs04TjjhhBywZISMkpH4mUOyLZWB0VG+EBeBTtDj1Dg5fRYHHXRQDrL6znxfCQrx4xgZrb6d2tLk1FNPnXbeeee06aabZplWBmGOBiLmc+qJ5n6ESJBGimxHTZt88sn7Wh3ZrsZMkRyIAAAgAElEQVRGxND8zIFBc8wuMo3iVSIGA5m0/SN6JTORAZuXi0JA58xdEHpSYrQeAURMGVk/XnE2FNkpppgi76TaI2bdi0rqM3bEUSFb1R4LzdPsi72wX4qY7exXKdO2Ai0VBMF27Bi9BwFETOI29thj57VWNlI2LO0P1R4xiSQ1g28ytCNItthF1aa0NCBikkyJJxWfnWnQFygp6lRZrRj6ymL0LgRUeXbdddcc18QPPauImN5UPl88UFkRE5B1tqLCQxDg30ppUqzyd78j/WLOOOOMk8GitEpA9WmzQXGWjxJfyja2qypiYvCNN94Yilg3M7cOEzHEg3GVUg/mz1Fh7YiOwIg4kWORI8GxI0SMskFh4jgZWHuJGOeIyJmTu0sQLhcN8lQdFDgqCmVMadJF4mJoiohR+KhlLgbBXfkRmUTWNO8qi7nDkgPmmO0zRusRqFXEar9Z26wvE0T2DXYq+/Q3vXxlsEkqKYeHjEsWkG7lpnJXnG0lDHr79HPE6D0I1CpitWdW26yvZ1S/j8EXKBm5qaOqprvO+Sllc/2j1G9JJJ9lSAZ8zv9U+1Z7D6oD9pm0hYhpnxEf2dEtt9ySYwNbqi1NVhFF7Cn/4kzVR2m9QPCqPqq2R0y7hTgWo/sg0GEiJpvjSKg7yBhVAblgCBQvPVRIDPlUUysi1VYiNuecc+ZyI4doX1SsU045Jd/h1l4ihkiZB3VDJqtkWDLg6vJo8ldT53CRS9mEDKZKxDhYPQEyH3MV2AV9DljpQUmCY/a57MV3NVxutdVWOauJ0XoE2krEqnu2LuxIuVuJgDpqKA9YH9mokhGFlB2z3+oz4kpjtiy03HzR+pnHlt0VgbYSsep5SNT4NUkV9YIPkXhpSxAsKbJ8DBXM5/wHtULyZxutE9Um/+6KUcyrbQi0hYhJDhEv4oKSJZLkrtvmiJj9a85Xyan6KDGKPbKz4qPq3TXZtrOJrTsbgQ4TMQSMZEpq54CoPsiF/zF9d3PoHUNCnnzyyfwzOV//GJmeZEuNQIrcQSgo+l2PheZ6PWf6upQD3eGINFE09FxpvlY+cguuvjQ9PkpIavCe8+MY1CzlJc2NMghkEUFSfqKAqZmX4fuIUnXIfhEvz6ESyPW7IZeUL3dAcrx+pwIK5C4mZQuEcffdd8+qoPNFHpXSEDRkAjlDJp1DjNYhgOxSXBFfa1xuvPBtxJbC4E5YQVEZut7jKDTMsksOr5Q29ZEJmGxMP6FeP0GUM5SlsjklaH2NPredkoIgGqNnI6CNglql9cANRnyLPhwDOfc59VxvKN9AMa295Z/fU3ZyvbMVdkXpUpqiiCsrUVeVNdkZNUzbBvvhR8pduj0byZh9FQEJHbItTmlV0c/Mp0i+2YFkjq1QwCTmWiv0WUvk+TW+Tszhy/gbd39T7A0qWPFRWlz4KDaknYKPEn99R08svyjesF/tPKXUGavVvRDoMBHr7NNxp2W1R6xfHE/DLaVLFlLNJgTX8qygfnGc2EcgEAgEAoFAIBAIBALNITBAEjGZipsJKG+lPOVOOplGV7wRIEwyEAgEAoFAIBAIBAIBCHR7Iqa+7W4QvWBKTbXN9O1ZRo+5IBcrO5ZHFZCQ9aB5fEaMQCAQCAQCgUAgEAgEugKBbk/EyqMn1NM9z6lfPUxTb5heIzV4AyFz90n1QXhdsQBxjEAgEAgEAoFAIBAYcBHo9kRswF2aOPNAIBAIBAKBQCAQ6O0ItEjEylPyezsQcX6BQCAQCAQCgUAgEAj0KwQ8w7I8bLy5fbZIxNxaGyMQCAQCgUAgEAgEAoFAoPUIeDKDRy21NFokYi3tID4PBAKBQCAQCAQCgUAgEGgfAkHE2odbfCsQCAQCgUAgEAgEAoEOIxBErMMQxg4CgUAgEAgEAoFAIBBoHwJBxNqHW3wrEAgEAoFAIBAIBAKBDiMQRKzDEMYOAoFAIBAIBAKBQCAQaB8CQcTah1t8KxAIBAKBQCAQCAQCgQ4j0GEi9ueff6bbb789ffzxx2nsscdOyy67bHrvvffSVFNN1TC5N998M78R3tvgPb0+RiDQEQTOP//89Msvv6SJJpooLbPMMk2+DeG7775LV1xxRfJWhvnmm68vm3zllVfSI488krwAfswxx0yrrbZaeuedd9Kdd97Z8LaF6hwda6GFFkrDDDNM3am/9tpr6aGHHsr7m3vuudMss8zSsN2PP/6Ybr755vT9998nr+waf/zxO3L68d0uRuDkk0/ORxxllFGa9GHW9p577klffPFFw+zGGWec/Gq2oYceuuFv7OTee+9N4447brbHRx99NP3222+NzohNLrbYYmnEEUds8myfeuqp9MYbb6T111+/7jaffPJJevnll9NSSy3VxYjF4SDg3cVPPPFEBmOmmWZK8847b11gnn/++eyLqsO2vlPGr7/+mu3mww8/TCuttFLybuSXXnqp7v7YzZRTTtnsIlx00UVpmmmm6ctPVb9g3sMNN1zeJkbnI9BhInbsscdmY1trrbWSgHPLLbfkoLfjjjvm2d9xxx1p//33z85GkOOcYgQC7UVgu+22S3POOWe2J87kkEMOSQsssECj3X377bdpv/32y47E66sEJN/1TtFPP/00fzbttNOmCSecMJMkBMkzXzjPXXbZJa266qppjjnmyPv9448/0meffZb/Zvva8dFHH6UjjjgizTjjjPldqIjiPvvsk+dp7LvvvmnwwQfPwfeyyy5LZ599diaRMbo/AgcccECafvrpsw1ceumlOcDxebVDMOUHxxhjjPzRq6++mpMFdjD88MPnv5111lnpzDPPTJtvvnmaeuqp8/OFJARbbLFFJniLLLJI3u5///tfev/99zOBmm666Rody+fXX399g1/94IMPGm3j9W2ujWeeeSYH8Bhdi4Ck7oYbbkgTTzxx+vLLL/Pae1fyggsu2Ggie+yxR4Ov8eFhhx2WDj/88EzEy1h66aXTaKONlm2CnfBHp59+evZrYu0ggwySNyWIeA0gX1dv+Hy33XbLsXjPPfdMjl07CCfi+VZbbZU222yzrgVuAD1ah4mYzJ+zWXnlldM///yTrrvuuuxEygJTzJAxT+gXoIKIDaCW1o9OWxaIQBlsbPTRR8+OpXZ4EPHjjz+eHZrAhXhRorbddttMtvbaa690zjnnZEfJoSFTtjXYNPIk8zT++++/rHRR1uq96/SYY47JjtH/Pj/ttNOygxSwBeStt946Kx++z0EOMcQQ6bjjjutHiMRuOgsByv5PP/2UCTYbQNiRqKrq5dhsg0Ix6aST5jVmbxdffHEabLDB0tprr50VW8QJqbvkkktyclC1I6Rs5513TptuumnDqXgXruBaAmztOf7+++/p8ssvTyeeeGJ68cUXG0EgIRZo+VtBN0bXIkCt5G8om95nzG6sxYEHHtjXRF5//fW8XVHakbaFF144q11l7ccaa6y04oorZv9CXS3vQ0bqkWwJAlsz2B57lHzWGz5n08g/P1ePiJkntXaNNdYIItZFZtNhIkZFIGEKOgKkzPG+++7LCkMZ999/fzryyCPTueeeG0Ssixa2tx+G4iWwyTIFv+oQpCQHFAfER9C78sor02OPPZbtVFa47rrrJlmmUvpNN92UVl999YZXUdQSMY5OubEpFWvXXXfN1wCy51jK8H6WBVPKOEnzNJBDmSZHTSWL0XMQUD466KCD0l133dXspKm1yL3KwOyzz54VWPZFZZh//vlzgEXaEHKjlohdcMEFWU1tqbx01VVXZfXkhRde6Gs+n3/+eSZpFDk2LxGO0X8ROPTQQ3Npe8stt2x2Igg0H2F7hIpv4U8kdwZSRhkzaokY8mbtKWn1Esbqgfk/amuViBFNxOhZZ501q62rrLJKELEuMpsOE7EHH3wwBx1SrMyf41l88cX7mn4QsS5azQHkMOxJoNNvKDAq+VWHjI9Khjzpn5FBImIUWaQLAaISkN2RMkSLclGGbHCeeebJJalCngS8pojY0UcfnTNTJcfxxhsv79vfKG477bRTviYocGVfG2ywQQ6O1LgYPQeBU045JSscStTNDaVCShX1Q1mSHRx11FENvVrWnn2yTbY4+eST5+BXStm33XZbOuGEE9pNxA4++OCcCCNhymNBxPq/jVHEkB6tEU0NRIgyusMOO2Sb0P+35ppr5t4y5P2tt95KI400UtKziNQhYogT34V4KSnOPPPMaaONNmoXEaPaSxoQML23QcS6zm46TMRI9mR5WSIWLTj26dMnG0MZQcS6bkEHhCNRADTGK+9RZK+++uo2ETEODzFD0Dg7GSilrPSEUXYpZeV3WapSZVNETCleYP3mm2/SyCOPnARi5SeBe8MNNwwi1guMUqL58MMP5+BUer6aOi2EXzlqk002yZtQbtmsAIqo+1wQ1eMo4HopsJcD+2coX1JE2qOI2a8mb+T/jDPOCCLWDWxPgqb8uMQSSzQ7G/2Cekgll1R+PYf6v8RV6j2ihZhtv/32Ob5aa0mk3xE1JWo+ar311mszEdNacffdd+deRWTPTSZBxLrOeDpMxDSEClIcjwZRRkRKJa+XxuYgYl23oAPKkfQ6cELsT6ZYHcrjbFKvg+xStshpke4pFRqrBUXlQiVFCsIPP/yQVYuhhhqqUY8Yokex4ORuvPHGvpIMipq+DeVQBM9YZ511EtVLOYojlaycdNJJ+TO9QuUaaal8MKCsZXc/TyU+5EjvDuLU0tBbIxlVcjQoY+7gZXuG8pFAx0ciTbWlSWVFf0fE3InJjspQHi37rS1NOoYbV6gaBnssdwXbT2vm3tK5xedtQ8D17o7Holo1923rqaxNKeUbEDF9fkQOyik/wm6s8d57792oNKkfFaHSzM+f+a5eWYNSxgbKqC1NSjbZbSmXs3ktFSoB+mqb6lVsGxqxdVMIdJiICVB6YTS0Mh6sXDlGtldKRkHEwgA7AwGqlkenCGi1Q2O1EiFyJUkQGAU2KoXSz3nnnZdvINFzoadRJkpho3bU9oghfZyYm1HctdQUgaKMyV5tJ5gayJ+yhLloyNWQjdCZT4zuj4AyNyI+2WST5f4uxIbyyW7qDY+n0NfDxspgXxIGyYD98JHsRFnJXba1REzAffLJJ/MNJBSKphqvm+oRK8cNRaz/2Rcf4KYgijtV3ECOJG2F7FRnh6wh6khUUeI17kvqEDP/CB2F5NumXrM+AqUv1fbNEe96PWLV+YQi1rW202EiRm4VuNy9ptSjZ8zdZuRRQ9mS8qCHRrMqkkaFiBEItBUBDfoIE2JluHsNsdL4zEkJfjJH9sfpUbo4vvLsOiqVHh+KgV4MiYKSgYBH+vczwuTGEnZdHh0gS0WoPNZC4lE7OFz9OHosPL6gPHeqbGd/jiF4uxMP4Wvu+VBtxSW27xwEPLPJWiFXStUlmCJTbAw5pzpVe8Z23333/IgC9lQGtRTxFmwFR2VKComSJHvTY+sZdaVHTBBXVeBD6z0DDFFzVy6/qpzkxhQBWlm8OoKIdY5dtGavEkElST5EbLSmhhho+ByxL8/bfPvttxNirW/V9mXceuutWVFFyCipI4wwQmJjyuT6ZFUDioJW4i2VnhJXb/BlEleJqOd+sktqWbkTs3wniFhrVrnfbdNhIsZJqSk/99xzOVtU2qnWwhmP7K4MjfzVBxz2u1OJPfV2BKgT1FWByNBQX+4gEuzciUhO16RvUC4QJORshhlm6EvF0MclmFG7OCQ9NWR9z10qRK+KJ+VCuajeA105Q9cBIleU4ep3kUSO0yMJlLda6jHq7evYU87vq6++yvZg3aqDD1OqQah85u7IMtgbG6j1cWwRuWKnEgCE3v79rZS0q8cQcAVI/9cO9s9+y2Mr2LygXpvgUmj533I99BTce8M8rQ38q8PNOXpHPW9T2VEvanm4s8TRWiHqtWVA20o6+R49sZI4iaGkrt6gsDalhmnbQN75PcN8JLK1RIwd84v1npvYG9anu51Dh4lYdzuhmE8gEAgEAoFAIBAIBAI9BYEgYj1lpWKegUAgEAgEAoFAINDrEAgi1uuWNE4oEAgEAoFAIBAIBHoKAkHEespKxTwDgUAgEAgEAoFAoNchEESs1y1pnFAgEAgEAoFAIBAI9BQEgoj1lJWKeQYCgUAgEAgEAoFAr0MgiFivW9I4oUAgEAgEAoFAIBDoKQgEEespKxXzDAQCgUAgEAgEAoFeh0AQsV63pHFCgUAgEAgEAoFAINBTEAgi1lNWKuYZCAQCgUAgEAgEAr0OgSBivW5J44QCgUAgEAgEAoFAoKcgEESsp6xUzDMQCAQCgUAgEAgEeh0CHSZiXlbq7e8PPPBAfrnsFVdckW655Za07rrrZrDOOeectPPOO+efDz/88LTNNtv0OhDjhLoWAS/T3WSTTdJmm22W1lxzzUYvrK3OZvfdd0+PP/54uummm/LL6WvHySefnPbZZ5+0+uqrp3nnnTftsssu+eX1tWPJJZdMJ510UhpzzDHrnuyFF16Y9thjj/Tbb7/llz4/9NBDjbZj/0cffXTyUt5HHnmka0GLo7UbAS9pXm+99fKLtXfYYYf8Yvl64+qrr86+7pdffkmbb755OvLII/NmXrB89tlnJ7ZoXHbZZWnZZZdN9913X7bhr7/+utHuvNz5rLPOSpNMMkmT8z7iiCPS5Zdf3vDy77IhW9xuu+3yr+a0xBJLtPvc44sdQ+D0009Pe+65Z3rjjTfSWGON1eTO1llnnXTzzTdn//Lqq6822NiXX36ZX8zt5fLLLLNMOuGEE9IYY4yRdt1112wf9caZZ56Z1lprrWYnPsMMM6QNN9ww7bTTTg3bvfXWW9mvemE5H3XbbbelkUceuWMAxLdbhUCHidhqq62WDUyQev3119Oqq66aiZmg5K3xzz77bCZfgqGgKRitvfbarZpcbBQI1EMA0fnoo4+yUxIgBxpooLpAbbvttun2229PI4wwQrrnnnv6cipffPFF/u53332X7rjjjjTaaKM17GOWWWZJ++67b1pppZXy35CrRx99NE011VRp3HHHbXQsTnb77bfPtu27+++/f3ak++23X972448/TgceeGB65513snMbeuihY2F7EAIzzzxz+uSTT9KOO+6Ydtttt0ZE7L///ksPPvhgTjqPOeaYNNxww2V7mH322dOmm26aXnnllXT33Xfn4HnjjTfmYPfSSy+lscceO6Mg6CFwtjX++eefbG8C7pRTTtkIKZ8jW4cddlhy7Pfee69hG/N4/vnn81wRvoMPPjj75RhdjwB7kHghOJ9++mnDeldnIunjh6abbrqcEF555ZU5drKPf//9N/uUQw45JBE8xFGkeuONN84+D+G6995706WXXtpgk2yB7dhnveFzn/mfjTiWYf/XX399mm+++dKkk06aVllllZxQFh/W9egNWEfsMBETnBAvSsLggw+eXnjhhfTwww/njIwD8HkZK6+8cpp11lnT3nvvPWChHGfbTxGgILCvpZdeulki5qBXXXVVohxUiRjyRZ0YccQRs2oxyCCD9DW/WiL29ttvp9FHHz0Tunrj5Zdfzs6R011ggQXSsccem9U3AdfYaKON8neRu1FHHbWfYhE763wEfv/992wvEs56RAwxOu6449LPP/+c13iIIYbI6sZ1112XbUHQLGqsbdgI8s+m6hGxN998MycGLakRbBsZ43PLoN4VO+V/JQVUsRj9B4H7778/LbroojkZK8S7OhPq/uSTT55ee+21NNlkk+WP/H7AAQfkRHDQQQfNJIuqeuKJJ+ZEkPhRj4jxa+xr/PHHb7ZK4BgqVshfIWJsmOpWksTzzz8/J6BRweoau+kwEZPJkceXX375zN5lg9SG8cYbr9EZzDXXXFk5I7vHCATai0BHidg111yT1YtRRhkl/fTTT9lW+/TpkxUIo5aIUTlkiBNNNFHdKf/666/p0EMPzWRPcKX4Kj0NP/zwWQFBGtdYY41cnjAE6Rg9B4GWiJgAhhAJhHzgMMMMkxUyJExpapxxxskny9YEWEGQylZGrSJ20EEH5VJ5PTWsilo9IlY+/+abb7LCQdUIf9v/bK0lIkYtnWmmmXKrwhxzzJEnyncgSWypjCeffDI99thjOeErRLtWESOAfPvttzkWDzzwwM2edC0Rq25MUXv66adzkstHxuh8BDpMxDgpTJ2sOtRQQ+XyoyBXO5577rkcqGSUTZWSOv904wi9AYGOEjFlI2UbCYTkQMYqWB111FHZhmWUjiEbNRAwhKopImabDz/8MNu+cjyVrfQDKdXrF9OLpsdDVqzfTBCN0TMQaImIOQv2IUhqwaBoKDEhYXpm9f0ItEqPytMTTDBBevfddxtOnl19/vnnDeUlNshm2kvEvv/++5xcKHvpe1S+itF/EGiJiCk/qhoh63oGDaqUVgax0qCA6btWhr711lvTIosskv+OiNnG3w2qmTKmkmN7iVg51rDDDpv9ITU/Rucj0GEipvbNiEivW265Za5tKxlRvkj0hvqzwCcoFTm+808tjtBbEegoEdOrQ/0qjo6To16ce+65aeKJJ26kiMlMkSwBU5CrBlHKhoZapSlZJiWCI6QUb7DBBllJ0yu011575eVw04DjK005Vozuj0BriJizYCfKkYIrf8ge9GhRyMqQpCpfCpilJ6xWEdOXo3kbEVNqVBovQ+M2omY0p4j5nD1rGTnvvPOStpAYXY9AS0SszKiollTVzz77LCuq/EYZ4uzWW2+dCZZ1V66sVcTcMOf7K664YrZBfbR+N9hgtU2oOUXM9gsttFD+jhsC6pVUux7J3n3EDhMx8iWDKLVl/QgUMs2k7vjhxC6++OIskVcNq3fDGmfXmQh0lIgpIwpwSkBDDjlkIvsLjOyY06ktTeoB00cmsXBH3CWXXNJwer5HBfHdU089Nff1UNoQLSqYoKtvQ8+FYVt3ylE8WuoB6kwMY9+tR6C1RKzsUVlHOVtJmiJVO0rputy0VEvE3LXG1gTdP//8M1100UUNu0Dwy913LRExX9J8jdgtvvjirT/h2LKfIdBaIuaAyop8k1L3Kaec0mgON9xwQ7I/SSO1vpaIffXVV9mvET70GCplunHDoJCqBJTREhHTd0gRO/744xtaNvoZKLGjRgh0mIhNMcUUuZ9BA75MDYMWhASrIrFyBm79ZjwkfIGu3t1nsT6BQGsQ6CgR0wMhOHFo+jOUAdiuW7llmrVEDJHiGGWtygK1pXVETlMrx+i7F1xwQdJwjei5205zNnI2zzzzZJXEXUl6hWL0DATaQsRUApQjKVF6fUpVoJyp0qTyDx9ZehJriZiSIuVML5DewtqbScq+WiJiCB3bpoi5MSVG1yPQWiJGvdI4LxGkntfe1MMGtTxQtcTbpu6a1HOGrOuD1aPa1GiJiJ122mlZREHemnpcS9ej2XuP2GEixngoXQIRtQAT15TMAXFEd955Z17IUrN2Jwi1rKUadu+FPM6sowi4u+iDDz7IAYoipdSH8CjnCF7Kf4ZSOVuTYVIEzjjjjNyfQ7ZHjNiu7NHdjUiZJnp9Ppqq2WzpEdODoZFWkoFE1Q77Q8KoXxQMx9IjVByYzHThhRfO+xOgkcCy745iEd/vfAQQJQRK8GNrVAslaKUi9uMRKdZfXyAi7ndKa/FxypPlmWLsiJ1JUvUEsT1BuGpvzkifmWeP2V89e1N2pLghbdo9lKUkxcripUfXow7KnXadj1IcoRYBNoFUaWdAoKyLZ21SxZFxNiGxU4IuooVnexW/8dRTT+Xn0bE9fk1i53N+D9lClvSFVcm+3z23zM1H9YY2immnnTbbLft0Rzmy5e5NcyplcIknshZ+qmvsusNErGumGUcJBAKBQCAQCAQCgUCg9yEQRKz3rWmcUSAQCAQCgUAgEAj0EASCiPWQhYppBgKBQCAQCAQCgUDvQyCIWO9b0zijQCAQCAQCgUAgEOghCAQR6yELFdMMBAKBQCAQCAQCgd6HQBCx3remcUaBQCAQCAQCgUAg0EMQCCLWQxYqphkIBAKBQCAQCAQCvQ+BIGK9b03jjAKBQCAQCAQCgUCghyAQRKyHLFRMMxAIBAKBQCAQCAR6HwJBxHrfmsYZBQKBQCAQCAQCgUAPQSCIWA9ZqJhmIBAIBAKBQCAQCPQ+BIKI9b41jTMKBAKBQCAQCAQCgR6CQIeJ2D///JNfFPrjjz/mt717Wa2XnHr5t/Hdd9+lt956K//sZc2jjDJKD4EmptldEXjuuefyi7xHGmmkbG9extzU8HLwn3/+Ob90t/oCWy+//fDDD/MLwMcff/w09thjZ1tly17yXTsca6KJJkqDDz543UN99dVX+UXk9jfMMMOk6aabrmG7J554oq/vDDXUUGmaaaaJF+p2VwNrYl7vvfdefvlyUz7Mi8DZgBcvjzHGGGnCCSds2BM/6ftsjL36nE15obMXd9eOYYcdNr9g3svDmxpedO+YM844Y1+bsEXHMrxQesQRR+xhSPe+6b700kv5pezVF3RXz1KMZBv8y0wzzdSXT+O/Xn311by5z623F8V/8cUXdYGaZJJJGuJvU0i+8MIL+WXx/F4Zv//+e7bHX3/9Nb+E3Mvu46XfXWOLHSZiV199dbr00ktzoOM0vNF95JFHTttss002lAsuuCCTNIbEgZ1//vldc2ZxlF6JwFlnnZUJ1A8//JBef/31dNJJJ6Vpp5227rleddVV6cQTT0wczD333JPt0kDCTjjhhOxwkCZ2utdee6U///wzXXHFFencc89N88wzTyZ5BtLHAW611VaZtNUODvTwww9vSEA41V133TXNNddc6emnn04XXnhhGm644fLXPv300/T111+na6+9Nju7GD0DATa3ySab5H9rrbVWo0mzoTPPPDOTfoNNsAHBzHjjjTfS6aefngYbbLBsS3POOWf2mVdeeWW2xdlnnz3NMMMMeVtEDjnbdNNNM2GvHcg+ct+nT58cON9//2TCPxcAACAASURBVP2GTRCwa665Jtvi888/n6+NY445pmeA3EtnKUYecsgh6aabbkoTTDBBo7O8++6702WXXZbGHHPMLFosuuii2deUceyxx6bXXnstEyd+ZPfdd0+33nprtid2udxyy6VBBhkkb863zDrrrGnLLbesiybiLiYfffTRaeedd0577LFH3u6PP/7IPvKpp57Ktnfvvfdmn7bIIov00lXpXqfVYSI277zzpg033DA7jZ9++imdcsop2Sgs8LvvvpuD3fTTT58d0WKLLZaeffbZbFAxAoH2ICDIcDxUqx122CEHsx133LHurtjaddddl26//fa+iJiAKTE48sgjE3Vq//33z0rWfvvtlzPWWWaZJe27775ppZVWyvulZnBgFN965El2yamddtppWYFADj///PPsyO6444604IILNigbRx11VBprrLHSeuut157Tj+/0BwQQeYT+1FNPTdavloixnYsvvjg988wz6dBDD802wg+yAWQJ8UK4/L/yyis3BM1yKsga++FDDbYtoEps2Vzt8DnyJWG44YYbGtQS2/GzFDfqiyRgnXXWaahI9AfoBvhDPvjgg+mII45In332WV0ihrAjTmxrqaWWykoXNf2BBx7IyhiiRdS4/PLLG5K5Aio/hjARQhB845dffsm+qqrGVhfB50i8OYnHhYj99ttvmdRPPPHEiRqLOIrdfFiMzkegw0TMggtcWDa2zrBuvPHGtNFGG2WHUspGFpnhcGTNlZI6/5TjCD0ZgapNSQDYVFNyv/OkinE6VUWMUqE0tNtuu2UoOCYO54wzzsgkqZaICXbKAU05N1ns8ssvnzNVc6Kurb766nk/gjSVuIyZZ545Xx/jjTdeT16GAWrulCXB7s0330xrr712IyJGMWU/yjhsQFAUSM8555xEzWCflIWXX345q6O1RK6WiFFLKVnIVHODbR922GFJIlBG9fow7/vuuy/tsssuA9R6dZeTpdofeOCB2TdIFuspYhJCvkVJe5xxxslTX3rppbO9WDfJIf+FnF1//fV9KWq1RAwJR/gkflWfUw+PddddN++zELGSAJTYfNFFF+X5hCLWNdbUYSJGoRDQLDyJnUKht6EMMqesQMbIiS2xxBJdc2ZxlF6LADWA+qTHRraob6epUY+I7bPPPrmHhmqhXH7//fdnJUPgRLYouGx1gQUWyLu95JJLcplJj1hTw3Ww9dZbN5QdKR+1A+FTWj3vvPN67dr0thPTb7XTTjtl30axWnPNNRsRKT6OYvbYY4+ls88+O9uUcpPyj7VWclKSVhIXmJUeKRzs16CishdKr0Edocj6e1uJmO0puLfddlv+t8Yaa6SFFlqoty1Ltz8f5FwbzhxzzJGVJb6hHhHjh5SkTz755JzEGfPNN19ujUDAfM7vHHfccbnkjJhRzhAmRAxpp+irQikrsj2+qz1EzLGROVUEai4blLDG6HwEOkzEZPwckGClzq0hn+pVmDQplJOSIb744ou5VEMViBEItBcBipIeCUoV58Xe2kLENPtTLgQ6WZ8SjjIQYqaPjBJRVST0onGETRGxan/FK6+8kqdCIalVNCQsq666anbOMbo/Avqs9AwiSFStpohYCWCqAHPPPXcaddRRk+ZsdoHc1zb3I13LLLNM7jcz+Ez/StP9o48+moNse4mYUurBBx+c7EdDP0LWkrrW/VejZ82Qj6FO6ffSItEUEXNWfIt2hi222CKfJLKFxNW2LyBd1pJyT3VlIxLSJZdcMhMxCerCCy+c7aq9RIxiS/lltxtssEEmeaW/tWetQM+abYeJmJKkYKjGLKAxDs35FlKZpwy1bkGIs2KUMQKBjiCA4MsiKQ7udGwLEaMYKCd+/PHH+WtUio033jjbJodWW5pk49QxROzhhx/O6lkZygUcoBKU/XCQnBdCd8ABBzSUTb/99tu05557ZmXFDQIxuj8Ct9xyS15DxIrCoYxE3aI4VEs65Uw0VLMpBIzySbnQNF175xllBGHfe++981drS5NUNaoIIsanCsxlCMKlRF6vNFlFVY+uIK0Xsp5C2/1XoOfOcLvttssKFdUToZfMKTnyHe5qrB133nln/tNDDz2Uy9dEi1oCr3xJJUPa9BvWliaVot00ourEP2rmp/YbiDhBpIx6pcnqnMRviS47rt5Z2XNXpHvPvMNEjIRqwcrjKjQbclSMqdbgMHXZ5Yorrti9UYnZ9QgEOBlqmGb8thCx6raapCm6/pUsspaIUX1ltcpUnJzfy+AQBValJiUlBEzTNmJWfretXh2BWtZbGmt7BMgD8CStM9JuaJ5HqvT+6fFq7rZ+RApJ4gPrBTGVA2R8hRVWqEvEHFdygfgtvvjifT0yhe2UPp6WiJidL7vsskkp3h28MboOAXZT/ATfsv322+ceL83wTfVII2turuDTKGm1w+d33XVXbsdgf7VETH+gfxJU5WgEv8zBMat+pyUiJlFA5Cir5W7zrkNvwDtSh4nYbLPNlu/u4JzI99QD5R53C8kOi+pAppVh+jxGINAeBKiuMsXynC/Zmjsn2Z9HT5DUOajyyAA3iCgt6U9kd0ribFS5RsJAKRBgOUqDakUpo4xReeeff/78d3cDC3pKU0pPtYPyQFHTj6O8xFlyuOuvv37elFMuj9kQWGP0PATYSbU0qS/Multbj5igRFBGkW83LAmS5VEnftd7Y+i90Z6BrGnmRriQO71npUfMvtmb9o56Shb7129GtdBUzb71NboDWE9Reb6Un5VImyvd97yV6HkzViKuliY94gSpomx6xpskjz9iM5tvvnn2I4gTFZbdULf4N2oZEUNPmbWljvou1bY8vsKNG3yebesNtuU74jOhBEmXLNi/OSlrG5JczfxuNIjR+Qh0mIgJOu4A86wUi+l26yLbu7WWEmAo63A2bo2NEQi0BwHBR7ZXiBjCVG4MUQ53Z5tg5O+Gngq9GsX+VllllVwq4GTcRUn54tiKEiYL9JiBquJV5slp+n5T2SEVTKLB0blhRcZZBufmc31ASlsxeh4CGq41MSM8AmH53doiaG7E0LfoOVGCaXUIcHpojernEgWEy75qhyZprRz1FDX2r+xFiTUkF547pSqhf9JnRrkJIErh/dfetOVYF4kZ4uV3BFqfYOmppqz7vdo/zadRTyWOeliVNvks4+abb842V294LIU7J+sNJNBz5YrSS+FXBpeEIvQefWGwPQlujK5BoMNErGumGUcJBAKBQCAQCAQCgUCg9yEQRKz3rWmcUSAQCAQCgUAgEAj0EASCiPWQhYppBgKBQCAQCAQCgUDvQyCIWO9b0zijQCAQCAQCgUAgEOghCAQR6yELFdMMBAKBQCAQCAQCgd6HQBCx3remcUaBQCAQCAQCgUAg0EMQCCLWQxYqphkIBAKBQCAQCAQCvQ+BIGK9b03jjAKBQCAQCAQCgUCghyAQRKyHLFRMMxAIBAKBQCAQCAR6HwJBxHrfmsYZBQKBQCAQCAQCgUAPQSCIWA9ZqJhmIBAIBAKBQCAQCPQ+BIKI9b41jTMKBAKBQCAQCAQCgR6CQIeJmJeIHnTQQen555/Pb2s/+OCDk7fNe5lodbz55pv5hc2nnHJKD4EmptmdEfj666/TAQcckNjVXnvtlRZZZJFG091zzz3zy7a99NhLkZdccsmGbbyI+cgjj8wv1LXdoosumh566KF06KGHpv/973+N9jXnnHOmnXbaKY0yyih1YbntttvSqaeeml9870W+p59+esN233//fTr22GMbXtK78cYbp7XXXrs7wxtzqyDwyy+/ZB8344wzptVXXz0NOuigdfE5/vjj84u/BxtssPyC57XWWqvRdrfffnu2BfviI88888z0ww8/NNrOi+PZ5TjjjNPkWnhJ8913351fIF0dbPG4447Lf2LPc8wxR6xnf0LAi+L5giuuuKJJ32Fq/I8x+eST5zg5yCCD9DVjL+X2su6nn346HX300emRRx7JLxKvN/bYY4/kxd/NDfbpJeJrrrlmw2Yff/xxthcvo59wwgmzDQ0//PD9CbkB67AdJmIbbLBBDlycwbPPPpvf+t6nT5+0++67NyDJkW2++eaZoHnzfIxAoCMIvPrqq2nllVdOq6yySg6QnNZAAw3U1y7POOOMNPXUU6d55503cYaC2pVXXplmmWWW9Nlnn6Xddtst2+R8882X/x122GFp/vnnT//991+abbbZ0j777JNWXHHFvE/Jxh133JFmnXXWNMkkkzSa+ttvv5223377bPezzz574ggRNsc0nnvuuXTJJZdkR2qYa+18O4JHfLdzEWBf7OKQQw7JdoNo1Y5bbrkl28kaa6yRnnrqqWyf55xzTg52ZWyzzTY5KL/77rs50Bn2O+2002aSv8kmm+S//f333wlhm2CCCdJMM83U6Fj//PNPOuqoo9K+++6bxh133PTRRx81bMNO77333pxkIHmSg1deeaVzAYq910WAvey///55jT/99NM09thj192On7JGCPkKK6yQE0frWB1skL/iQ4Yeeuj8kfW97777EkJebJJvvPPOO9Ouu+5a91ivvfZa9m9i9oEHHph9lfHdd9+l8847Ly2++OLZHiW2EoXiw2KJOxeBDhMxi7bjjjumjTbaKAdETB1r51gMCy4QXnDBBemDDz5IDCVGINBeBChYCNiGG26YVa5647fffstka7zxxktDDDFE+vzzz9PWW2+dBEKZJyd39dVXpxNOOCENN9xwOVjJAmWa1A5kTZBbaaWV8u6/+eabNOyww6Yhhxyy7vFeeOGFPBdqr+/63xxKMuKzKaecMq277rrNZsXtxSS+17kI/P7773ktxxprrLpEDDFCrtibIGntt9tuuzTXXHOlTTfdNPmcynHXXXelCy+8MI0++uh9TVgg3nnnnfO2BrVXMC4Bt6mzu+qqq3ICwf7K8N3RRhst//rWW2+lzTbbLD344IOdC1DsvUkE7r///uxzqE31iNj777+ffVT57IYbbkjrrbdeJvWGmDnDDDNkpWrbbbft6ziIGNJ96aWXZiLG7v766680wggjtJjo8UUqWIWIIf/svChgSNkXX3yR9t5771jdLkCgw0RMiUVZcsstt0xKLgxC2adkcn5++OGHs4GcddZZ6aWXXuqC04pD9FYEllpqqTTwwAOnhRZaKDsemds888zT7OkiZUgW8sapIVmDDz54zlaNJ598Mjs6jk2wrSVip512WnLciSaaqO5xlA1koJRfzk0gpKbZF+J49tln52tixBFHzGSM8haj5yDQEhGrPZNff/01t2iwTSWiF198MScC7BShH2qooXLiOuqoo+av1hIxJSFKGvLe3KhHxMr2P/30U044BOXaNpGeg3zPn2lLRKz2DK3ptddem9V7ayiushfqqEGxUmqmqNcSMX7sq6++Sssss0z2kc2NWiJW3ZavorSxwaZ8Xs9fme51Bh0mYmTxI444Ipcm9T1YvCqLFqB22WWXxCBtF0SsexlAT5qN7FH/1bLLLpsDmVK43gv/Zp555iZP5eWXX05KR1RaqhabHGOMMbK6UYgYCf7cc89NE088cf4nYBZlgaJB0W3OKbFrmaz/KWLUN+PHH3/MwZBSQRFB+G666aY06aST9iToB+i5tpWIIebKUsgYO5IE6AtjbxJUKgRSRs2ieil3SwyKKkLBVUVoLxGjpkgc7IcaI2DH6D8ItJWIUVL5KT6IwIEwSejE1AceeCDp/0PUEDPryp/wJYiZ8qLyNtLfXiKmJYN/sr/DDz88k7oYnY9Ah4lYmaI+GSrFl19+mftlOB7N1AImo7nsssuCiHX+evbqI+ijQPb1GZYmZsGKs2BvTQ1BkXMaeeSR8yYtETGKGIdUSpOUM2pvU0SMA9SojSAqQTiWHjV9QrVDCYoqp7cyRs9AoK1EDOEqNuYM9eIgZyeddFI+YT1kSobIPWJWFLHSI8ZGtthii3YTMccoPW0CNd9bzxZ7Bvo9e5ZtIWIUTIRcHEWEnnjiidyjpedL+VIP2fLLL59vOkLMiiKm/1Qlyo0btll11VXbTcTYjTH++ONnP6WK1VRvW89eme41+w4TMZm/XpvSLKjf5vLLL8+9EJqXlWYMkin1jJFRxqaZZpruhUTMptsjUBQxqpPgZSA/iJNgVzs4JSrXAgsskBvty6BYvffee7nhWU8YR8Zhlp6x2tKkuynHHHPM3N9FXZNglKGpWuaqB4jtI3tImDKBv1FEqkMTNQWEs4zRMxBoLRGjRCE9fJubRMqQJCj3KHELtJJVyQMfadva0iRbpIKwN72L7gouQ+8OtcRorjRZtlfG2m+//fJ1EqPrEWgtEZNk8iPsoiSMft9hhx2yAlbUeSTMWuoXqy1NSlD1s9qWX2Mr99xzTz5pCSu/VEZzpUnbODYSz1fyfTE6F4EOEzE9MaTUddZZJ7N2zYbuFlKqLAblFEIR69yFHFD2zhG5xRuhEdD8LiBNP/30fUGgFHjzzTfnUqa7Iv/4449896LHUHjkRbmjaYoppshyvgSBczJqiZhAjKzJEvVo1N7xiKgJdhydxw4oK/kbaV9/RxmCsW0E1nBuPcdiW0PElKCVjQRB5UA9sUg7+9LIL6CyBw38+n+oF1RUN4vUEjGl8Ouvvz7f6OTGlHp3abaGiElc+GbB1N2VMboegdYQMTew8RfaelSPJJDubnQjHGUUKdc3yI7cGMdulCNriZizQ8ao+e6ubM7HtETE2KibPSi7VR/W9QgOGEfsMBFzpw+1wTNNPENJVijTK4pFgTGI2IBhUJ19lkp/iAyHozle/43AR3GlVLnbTA8OhQwRU05EnAQ3PVxIlzuE9JVRbgVMN5x4no6eMwSNmsUhlizU9u4mcqxau3a+mrMRQ8GV00LYHN8+rrnmmqyEGPrYlDjr7aOzcYv9tx8Bj6Tw6B2JprKjBmrBUrDj7yj8+r3cvaaMQ/VCoqgblAu/I/L8Ilu0DbVBsoCcKUm547KUgP79999cWvJolqqyVs7A52xbwHUdUHzZGLsTpH1mSAo8y6zePtqPRnyztQgQJdgGf6I0zD8RLqhfSouqSWxKK48bj6yfgfhbT2Vryr0ytpKhbf2sZYLabhvPKORPSnLILq13KYPXzlUbBdGE4sVXskPPxnNDE3viXw1/UwaNsmRrV7tj23WYiHXs8PHtQCAQCAQCgUAgEAgEBlwEgogNuGsfZx4IBAKBQCAQCAQC/RmBIGL9eQHi8IFAIBAIBAKBQCAw4CIQRGzAXfs480AgEAgEAoFAIBDozwgEEevPCxCHDwQCgUAgEAgEAoEBF4EgYgPu2seZBwKBQCAQCAQCgUB/RiCIWH9egDh8IBAIBAKBQCAQCAy4CAQRG3DXPs48EAgEAoFAIBAIBPozAkHE+vMCxOEDgUAgEAgEAoFAYMBFIIjYgLv2ceaBQCAQCAQCgUAg0J8RCCLWnxcgDh8IBAKBQCAQCAQCAy4CQcQG3LWPMw8EAoFAIBAIBAKB/oxAPyFiXkLrpaRePOplteXncm7lc7+XbfrzecfhezgCbIotlZfdNnc67NE/tlk7qp/52X7rjZbstvrd2m29ALo6WtpXD1+amH4gEAj8HwLFLwwyyCCtwqQ5v1b9rBpTa3fMzzXnF6vfrW5bz/+1tK9WnVRs1CICHSZi3ix/0EEHpT///DNNMMEEacUVV0yff/552nzzzfPBf/7557TnnnumV199NQ066KBp4YUXzm+ejxEItBeBiy++OB122GFpr732Suutt16LZOyiiy5Kd999dzrppJPSSCON1NdhTznllHTJJZekJ554Ij300EPp0EMPTY8//niaaKKJ0mijjZa3/eeff9Jkk02W+vTpk8Ydd9xG0/7tt9/SCSeckG6//fY0xBBD5PmcffbZacIJJ0wff/xxWnvttfPfjR9//DH/fNttt6Xhhx++vRDE9wKBQKCbI/D++++nY489Np122mnpk08+SWOPPXazM/7yyy/TSiutlH3QQgst1Ne2JaZuu+22aYkllkgnn3xy3u93332Xpp122gYf+Ouvv6ZNNtkkbbrppnWP9d5776XVV189jTjiiOmnn35KG264Ydpiiy2SZPGcc85JV199dUIa/W7OYvuaa67Zoo/t5kvR7afXYSK2+OKLp0UXXTTtvvvumYDts88+aYoppkh77LFHPvlHHnkk3X///fnzEoy6PSoxwW6NAAJ2yy23pN12261FIvboo4+mXXbZJROpWiJ2zz33pO222y6NMMIImYiVMcsss6R99903O0Xjr7/+Su+8804aa6yxGhE5n7/88stpxx13zGRsuummS0cddVROQA4++OB0zTXXZMc53HDD5X1xdr///ns+boxAIBDovQg8/PDD6fzzz08XXHBBi0QMKUKsjjnmmEyGaomYxPO4445Ll156afYnxplnnpnuvffe/LfBBhss/+3rr7/OvmquueaqCyyChmj57htvvJEFEwkkIeWtt95KfJ992c95552Xll9++TTVVFP13kXqJmfWYSI26aSTZiLGSIYeeuj00UcfpTvuuKNBEVtggQXSF198kQPbWmutlVWxGIFARxDgJBCZpZdeulki9u2336YddtghTT755Ontt9/ui4h9+OGHmSTZ5r777muWiD344IN5H4hYvfH666/nLJNitsoqq6QDDzwwzT333EmSwsFWla8FF1wwnXXWWXl/MQKBQKB3I0CEEB8p480pYhLGO++8M91www3pxBNP7IuI2QdFn1KvutQUEePT+MaZZ565bhsGpHfeeed04403Zn+HeNmvChVy9vfff6chhxwyLwifplJAUAnlvvNttMNE7PTTT0/kUqwZs2ZspR7O+NSdv/rqq7TxxhtnCRV7b01fT+efehyhpyLQGiLG7kj0Z5xxRs5KKbNFEfvjjz9yljrbbLMlJOuqq65qRMSobsrsxgEHHJD3pVzZ1Dj33HMz6VMakIgUZ1ndXnmeYszZxggEAoHej0BriJierXXWWScr6RK5I488soGIffbZZ2mrrbZK4iwfRHmvEjGqvtYLKhZSRYlfddVVmyRiEJ9xxhnTiy++mJZddtmsjNUjiHyiNorNNtus9y9SNzjDDhMxtWSBhSL27LPPpvnmmy+deuqpjTJ+i6rUoya9/vrrd4NTjyn0VARaImJ6upQFjKJAVYnYY489lpMDRIvd1hKxiSeeOJcSRx999LwPmSIy1xQR8/lzzz2XSZ//55lnnkzeyvcLzoccckgmf/VIWk9di946b37ttddeS/p2umKoJkhma3sYu+LYcYzOQ6AlIvbLL79kv7HyyitnMlUlYmImokTF4q/qETElS1UpTfXUfYLH1ltv3SQR+/7777NgQpXnJ7VtrLDCCo22R8CoYfYdo/MR6DARw8IXW2yx3DRIykTKRh111GxcI488cl9ncOWVV6YXXnghHX744Z1/ZnGEXotAS0RMKZyDooppSpUgaDzdaKON0vbbb5+zT434PiPRk+GVEzlDgbC2R0zvxlJLLZWJGFXriiuuaMB2v/32y2UHTbkcJuemfDDnnHNmJ1d6N5QolVMlKcMOO2yvXZvecmL6Am+99da83l0x+EoKxfjjj98Vh4tjdBECLRGxm266KTfe8xd8hHYJN7S5wYdyf9111+Wb4BA2fbGzzz57bq7X8lPbI+bGOYRtmWWWyd9lvy+99FI+03HGGSdtueWW+UYAFamddtopV6eoafxZVRXjz/jJ66+/votQisN0mIgJUJdddllDJvf000/nRb7wwgvTJJNM0hfC/qZsue666wbygUC7EWiJiHFCb775ZpbpDT0RGur1KVKrnnnmmdycakgO9IhxRhr69UjUEjGZpt5Hd0faRm9FGZpi77rrruzQkCwBVQOtRle/I3uG/g59IBzc4IMP3u5zjy8GAoFAz0GgJSKm9OjuytLCw0cpRSLlfNEHH3yQ72D85ptv0hFHHJF7UVdbbbU03njjNSJi/JMEQmvEDDPMkFUuvtKg8IvHqgASRX1rbhryux4xxK4MSayqgLslY3QNAh0mYhZMzdndYBZ7//33T4wL6WJcFAKDKqEJ8fLLL++aM4uj9FoE3J2rH0sSoMyN3LO18ryu2htCZI7V0mQVmGppUq+GfcwxxxzZOZHsDWqv27g5QKXO2vHKK69kNQ3x8jk7t59y57DtHQeJW2655XrtusSJBQKBwP9HgD+RlC255JKZbCFP1KgSF/mt6rMNKVG1PWJlb2JqtTTJv/BriJ5YW5R3j+ChvCur1xvUNHNSBZCs6oWVjCqNG+amKvDDDz/EUnYhAh0mYnpnPK5CoyFGrixJITNIpUo3xvTTT58ViaIQdOE5xqF6GQLuvqVSGXoiZG4yP2RpmGGGyZljdZD0lZi22WabRmVBpQDOSyO//5XNax/Aal8eS7Hrrrs2eeekvgslTEoblUypswzKnDuiKG3NNfz3smWK0wkEBmgElB31YlGpxhhjjJyYuWGNLxIXlQrdWV1G8WEeMUHRqg7+TjKnz3rWWWdNnn9o//WGPmylzaaGR1ZQ2vhKd3oTUspQOeAH+coYXYdAh4lY1001jhQIBAKBQCAQCAQCgUDvQiCIWO9azzibQCAQCAQCgUAgEOhBCAQR60GLFVMNBAKBQCAQCAQCgd6FQBCx3rWecTaBQCAQCAQCgUAg0IMQCCLWgxYrphoIBAKBQCAQCAQCvQuBIGK9az3jbAKBQCAQCAQCgUCgByEQRKwHLVZMNRAIBAKBQCAQCAR6FwJBxHrXesbZBAKBQCAQCAQCgUAPQiCIWA9arJhqIBAIBAKBQCAQCPQuBIKI9a71jLMJBAKBQCAQCAQCgR6EQBCxHrRYMdVAIBAIBAKBQCAQ6F0IBBHrXesZZxMIBAKBQCAQCAQCPQiBDhOx33//PV166aXp3XffTRNOOGFaf/3185vfveC4Ol544YV04403Jm+c33HHHRu9fLkHqjV6lwAAIABJREFUYRZT7c8IXHzxxdnGhhtuuLTnnnumgQceuMkZedF8eYn3qquummaeeeb8El4v6fZSemP11VdPM800U/LC2yuuuCL9+++/jfY35ZRT5hfuDj/88HWP9fTTT6ebb745/f3332mcccZJ2267bcN2v/zyS7r22mvTG2+8kf+2xBJLpAUXXLA/oxiHby0Cf/zxR7rkkkvSJJNMkuaff/7sw+oNL2Y+++yzk/VedNFFG9aY/T3wwAPpnnvuyV9bfvnl84vh33777XTllVemX3/9tdHuxhtvvGyXo446at1jffPNN8kL6z/88MO03HLLpbnnnrthu88++yydfPLJ+fcll1wyLbDAAq091diuHyPw6KOPpltuuSXttddeTfoOh3ziiSdyfOQ7tt566waf9uWXX6aTTjop+6SJJ5448WEjjTRS3tZ36o3VVlst+7mmxiOPPJJuvfXWNNFEE6VVVlkljTLKKHlTds63vvfee/kY6667bhp77LH7MSKxu3oIdJiI7b///unNN99MO+20U/r000/zG+It7s4775yPxwldffXV+W3zRx55ZJpgggnS9NNPnwYbbLBYkUCgzQgce+yx6f33389O4oYbbkjvvPNODkj1xr333psd1tprr50/FkhHG220TMCeeuqpNNtss6X77rsv3XbbbTlwsU3BcYMNNkgbbbRRQwD77bff0uuvv56WXnrp7Lxqx8cff5z22GOPtPjiiyeE7fzzz8+B0X6MV155JZ122mk5STEEWQ43Rs9AgJ2wi9133z3ttttudX3XDz/8kPjCaaedNk022WSZ0Ft/dvDWW29lH7jIIoukxx57LJ177rnpjDPOyH6Q/Qqua621ViZoxj///JNeeumlNM8886QZZpihEUh//vln9qVDDz10mnfeedPee++d+vTpk+31q6++SiussELaYYcdcjA97LDD0oEHHhjEvz+YGj9w0EEHpQ8++CDHxqZIjbWWUBIokKSffvopnXDCCennn39Op5xySib/yD2SP80002Q743PY0DPPPJPXtyQHfCMbsP71xv33358OOOCAbD9+Fp8d+7///ktnnnlmQuKXXXbZ9Oyzz+Zk1/z5zBidi0CHiRhHYbFc/MYdd9yRnQinZTz44INpq622Suecc05fWVvnnlbsvTciwEmMP/746fnnn0/TTTddPsUhhxwyK1GLLbZYX6csg1xqqaWy4kA5q6oYyNfCCy/csL3tZJEbb7xx/hs1l5JGATM4K6rbQAMNVBdWTksiIsAKwmxd4ObsjEMPPTTv0xybUlN643r1lnOi+vNnY401VpNEjE3ddNNNOUiOMMII6fTTT89qlSApIaBalcHeBFcqiTH11FPnxHXTTTdtlb0JtGussUa67LLL8pwEfNcA1ZWt8b9XXXVV3teFF16Yg/pzzz3XpP32lnXqjueB7FBHEad6RAwBkuBJ0pDxL774Iid7jz/+ePZtI444YhpzzDHzqVlTay25HHzwwTNxYlsqUoQN+/KvqQqBz5CsXXbZJfs/Aook1Ry///77bI/I4Oyzz54ocbvuumvacMMNcwIRo3MR6DARW2ihhZIMDcuWkSnNMCJB5+uvv05zzDFHzgwtrqEkM9RQQ3XuWcXeeyUClKUZZ5wxZ2qTTz55PkeORZlnn3326euclcIFIM5mvvnmy0GufKcWHM5mvfXWa3A4tUTsggsuyLZdTw2zL9mu/QuonJZ5UoUpcJQSzo6DpXwoN0066aS9cn1660m1RMQoWGztu+++y0RMAJWAKvMcfvjhjRQF9sA+/KtHxM4666xM1Kir9QaVhLKGiBmO6zoQkI866qjsj88777z8maSFz3311VfTuOOO21uXqNueV0tE7KOPPsp+QltEWW9riZwpUVaHCoDYimwPOuigjYiYteZntD7UI2P8kmTTnIYZZpi8awkCEsivImjiuLImBY5SxqdtueWWzbZ/dFvwe9DEOkzEijSqXi1LI5WvueaaGQLSKSmfTEqVoBSsvPLKDUpBD8IpptoNENAXQ5pXNjziiCPyjJArgY0DqQ6yvixR387xxx+fkwJlmtqSINVC8PIZJcOYYoop8nEKcUPmlNybImK+8/DDD2cnp9QkCJqjQcWTCStPCcwCqP+j96IbGFQrp9ASEdNzyH7YG+XM/4gYEqacpBRdBtJO/VKqLr05VFTkvJQh2Qgy1hQRU4GgWJx66qkNREyiIGHw3aOPPjr3QLJhZXdKy4svvph7eGN0LQItETHkSH8qP1R8AiLG9/A5ZSDX1tcaaoGgzlPE2ADiRWlXlpQISgrrETHtGMiV/rAihiBixBL+avPNN89KGVXsxx9/TNttt12ac8450zbbbBNErJPNpsNEjNzJKWhKxOAZCIkT+RIcLb6SDQkdo2ckjLOUljr5/GL3vQwBAYXCJVMz2Be7Kv019U6XU6GYSQKqJUnbyvb017DPMvTu6EErTc4XXXRRlumbImJ6OpSAlBDctEKpOPHEExO1uDoE9M022yyX8ZVCY/QMBPolEVPy3mKLLfoiZwgXdazYMMWLvbaHiFFX9CvysSOPPHJOQCh0FOLoy+16e+tXRIxfQe6R6kKiEDHlaHEWEdP7as0lpm0lYgga8n7wwQdnkLRjsB1iCnUuRuci0GEiZgFlfqV/RlBTtxaYSOWanAUmn6uTy/pkaZh2jECgvQjoAbv88suz7ckqWxoUNJK7bLI4Gv07SpIUieqoLU3qyUDO9KfpA0LSytCvo1Qqe5WdcoR6w/SIIWOlBFC2p85RQkrjfkvzjs/7PwItETFBi8KlzEStEij1bF133XXJzSVsgr3aZtZZZ23k+2p7xHzP39glX1p6FUviIflwJ56bVPhVVQmJguuhmlBoE9ESIlCXHt7+j+aANYOWiJhSIpVLRUl5kLAx1VRT5RJ3ucmI4qpsyLbcgFFGbY8Y5Z4C7yYPyaFqVOkVZHdUVvt0B68Klb4wCQDSX9sHpgTKZyJiVZsasFav6862w0RMcDvmmGNyT4O6NWkcGaMiIF4WWiCznYZW0r3buDUhxggE2oOA/oXrr78+Bx7OAklqbiBLZH3BSNlRYBXIODUOSI+PsqeAOcQQQzRq1hfQbE9ZqNd/cffdd+fyp0DLqfrdXXKCMIdXBqdrvttvv32+FT1Gz0CgJSLmLJAhgc4djEpMfCIFylpTK+66667cP+txEv6uiuBRKIh6LRFD2gRLNslm2WR16DuUDEhCVBaobObI3gzB3CMIzEFTt4QgRv9BoCUiZlaqR+5MpGRKKvWSipEUeCVLFSWlQ7/rB1SmRI5qiZh9+Zyqxe7qKfgqAIieY4rVtqWquQPX4FtVt/ShsWX2GqPzEegwEZOtURAsIAegdOQZSurchiZWRqVfQSDaZJNNMmmLEQi0FQF9XxwEW0OelLnZHlVAcNJ7RY3wd6T/zjvvzIeQIGhYVir0s30IjB41MOyww+YAqSeDWkvxcmeSGwBKj5ggJ9MU8GSttYOEz2kVB+m5UAIl1dft6NQRAymTmYZza+vK99/tBSvlb6SJyqCvxhoj22zDXeEecaIHVtO1JBPJp3pqkPdoFI+z4AP9HdHyfDD2yEYRJY/IKAkF29bvY7+1dwNDwueea6Yv0X787q5dx2L3Skxskj0L4JH09h/7QXQoStaKfxD7kCOPs5AYipH8gb5B7TzWqdzZKOETSylj7KW0YvBzerf0opY7c+2n3I1N/OAPVaPqDb2qbFjZm9KmQuBYFDTfcXct8k5AcbdnjK5BoMNE7JNPPskOSgZGoreI1WAlyGH5/leS0cMQIxBoDwJsSK8Lp6NMWH3YJaeiHIhoUb0QJ7ZpIFvFkfldKRGZK0M/hSZ+yoNeDM6wdiBRVKxadaJsJ/DJXjlNwbaUOyUfSlaG+XLETT0Goz2YxHc6HwEBEck2KBGa7wtZ8j+FwUDO2KC/eSZdef6SB/kKdGVY/9FHHz0HXn6TXdcOCgV7K0pF7eeIn+/6n62VklWxe/bqBoDoC+t8+2jqCFRPxIhP4Desp3XhexCiqg9DxvxjE9bz/7F3HlBSVM3bv6AoiCIoShBERBFBMoiIggIKAiI5CUiWJDnnnHPOOUuSnEGyKDlJECVIlCRmX/U7vzr/O19v78wuMOzszmzVORzYnZ4Ozy2qnnqquhsfQd2CtOFP1sivEGxiCvv3ZhDyiG4G4rvEJY6Fgs8+iZ+QO86N+GlvXIo+9GLXkf0mYrELLr1aRUARUAQUAUVAEVAEHhwCSsQeHJa6J0VAEVAEFAFFQBFQBO4JASVi9wSXbqwIKAKKgCKgCCgCisCDQ0CJ2IPDUvekCCgCioAioAgoAorAPSGgROye4NKNFQFFQBFQBBQBRUAReHAIKBF7cFjqnhQBRUARUAQUAUVAEbgnBJSI3RNcurEioAgoAoqAIqAIKAIPDgElYg8OS92TIqAIKAKKgCKgCCgC94SAErF7gks3VgQUAUVAEVAEFAFF4MEhoETswWGpe1IEFAFFQBFQBBQBReCeEFAidk9w6caKgCKgCCgCioAioAg8OASUiD04LHVPioAioAgoAoqAIqAI3BMCfhOxS5cumU8++cR89dVXJk+ePGby5Mlm/fr1platWvKy0ixZssjLTDFefspLbLdv3+55KfI9na1urAj8HwK8KLlo0aKmc+fO5p133gmHy65du0zDhg3lxciY3X7+/PnyYnBe4ly3bl3DdrzsFlu6dKmpXbu2uX37trykl+0wXgJeuHBhM2rUKK8v08WvJ0yYYLp06SL7zZAhg9m6davnBeH8H6lfv77ZsmWL7I/tWrZsqWsZBAjwUm1e9I0P8ILkxYsXy8u0vRnxLnv27J6XvHfq1Mk0a9ZM/AjfatSokbwYvE6dOqZfv34SB/HB77//Xl68zB9r2bJlM5MmTfIZJ/GzHj16GPzZ+i/f5RymTJliWrduLS9ynj17tilTpkwQIB1ap/jPP/+Yvn37moEDB0req1mzphk8eLDPl7ATL4oVK2YeeughAYIXxeN3v//+u3njjTfk5d+8XH7s2LHiY61atTKjR482HCdBggQe8DgWcYqc7M34HB/kxeGffvqpadu2rSfGHT16VH535MgReWn9unXrTPLkyUNrYWLo1fhNxEqVKiVva+/fv78EBAhY8eLFZYE3bNggC8rb5LG9e/fKdgsWLIihcOhpBQMCf/zxhxD+rl27moULF4YjYiQjCoPnn3/epE6dWgLhtGnTTKJEiUzZsmUN3+dnghqJ1pnIuP6cOXMakmjp0qUFDoIhvksC9haYjh07Zpo2bWoGDBggQZIESeLm/LC1a9eagwcPmjZt2gQDvHqO/4cACQuiP2TIEPEZCDRF5v79+71iNH36dBMnThxTvXr1MJ8fPnzYtG/f3owYMcK8+OKLply5cgai1a5dOyFpGTNmNC1atBCChpFcv/nmG/PMM8/I9m7j80WLFom/3bx503z33XeeTXbs2GFOnjwpiZ9t8OPjx4/rmgYYga+//tqcPXtW1vrKlStSyDVo0ECKQ2/G+lMEZsqUyfPxnTt3hFBVqlTJVKhQwSxZskRI9syZM03ixInN+PHjzcaNG4Vsx4sXT7537tw5iVU2drmPxecUgWzjJGIUn8QpxBRydrVq1STe2RgWYPhi3eH8JmKQMJyE//CoCCQlKn8cDgdMliyZB1S2YaE//PDDWAe0XvCDQ4Ag8vnnn0tgIhi5FTGUABInxAv7+eefhXS99957JkeOHJ4ToXIkOZK4nOYmYocOHTKpUqUyTz31lNeLoIIk+VIBv//++1JsEMwqV64s2+fPn1/+H3Tr1i1MoH1wiOieogKBW7duCaFOkiSJ7H7btm2iYKFWuI1YB5FKmjSp/J0vXz7PJoMGDZLvoHBhkHKUMhJoypQpwxGxAwcOyO+fffbZCC+LgrZPnz6G7a398ssv5vHHH5cfUThQZCg61AKLwOXLl4UsxY8fXw7csWNHWRcIudvIlx9//LHk0IoVK3rizL59+0RF/fLLL0UthZiROzt06CBxxk3E8EEIFcIHBUFEVrVqVZM5c2aPIga5p2tgzxef4XeQQ7WoR8BvIkaVOHLkSFOwYEEzbtw4cSIC2NNPPx3m7PkdToa0nzBhwqi/Mj1CyCJAcCIh1qtXT1QBb61J58WfOnVKWjhs70xud0vEIFhUpWnTpvWKKW0i2g4zZsyQ1juBElWYlgEkDoVu06ZNnnPg3NWCDwEUJpRWfM5ttJ9pMfKHZEtixW8wYiSkCP8g9pEwaaujoDG64VbESMgkSlrcEZk3Ima3v3r1qvjbu+++a1577bXgAzvEzhg1vFChQqZIkSLhrowWILECog754g8K1+7du4XUL1++3BN78Bv2Q+vZTcQgdDdu3DB0qeLGjXtPRMy5MSob5J54+cQTT4TYSsTMy/GbiJFkcAiCD1I+UiwBxjJre9krV66UqlBnY2KmIwTDWVGhDR061HzwwQeeNuPdELFly5ZJ+6Z58+ZhLtMXEaOlef36dY/cj7rFjI8vIoZqwgwHQZPgSdCFjNl2gT3oiRMnTN68eaW9heqmFjwI4Hu0nBm9wB8iMopOiBRzgSVKlJA2EHNaqFMk4tWrV4sSS4spXbp00n5EQbEzYnQWUEHul4jRrsRXKRCYBULJc/ti8CAf/GfKaANtybtRJrt37y7rxVgP6hbdJpQq1H9mrVHeaWNWqVJF8i6xxqpf5GJ8FLX1fokYYgktSgy1FR+ObF/Bv0LRfwV+EzHmDxgipCKkktu5c6ckG1Qyq3zhIEizkLTcuXNH/1XrGQQlAlR8kHwqvp9++kkGnmvUqGE++uijCKt+FAkkfbfv3a0iRmuJ2TKS28WLFw3zH9ZQvkiizBHZQX+KDQImFaUdvrXb83+E1oGvYdqgXJgQP2mraDLPVaBAgXBr6r58ZhInTpwobU0SGd9HTZs7d65sClmHoEHGUFDdiljPnj1N+fLlhYihbHFDiTUULttyj0gRY3s+Z0SEG0l0YD96nBTyBGGCHPkabXCeGSSaMQbGKzBmuiggKQTYF2oqN3lQLLoVMQgcBWTJkiXF55hNvHDhguyH9jojEtbcrUk3OsQ7iDy+Q5tcLWoR8JuIwdgZILRzCatWrRImTcKk2sPOnz8vgYmgoHdhRO2ChvLeGZJGKSDBoTpMnTpVgg5JiwTpzZDqP/vsM5kRswnMbne3RIxhfqpaKkOSMT5urXHjxnKHJG0F7mIi2NJ+R0GjGHnyySfDnBZzYswPMa+mFhwIQJy4+xbS7V5Pb1cAEeMmEvwUhcFptKG4423OnDme4sFNxJhZZB8kQlpWdBOsMUTNHJolWu4ZMff50LaH/DMsrhZYBCjQVqxYYd56661I1U17ZsyzEh8gUU6DYHHjCOScmEMschMxYh0zgqj/EDX8yM4zknftzCr7jYyIMcfIuAVFaGSzioFFNTSP5jcRo7qnVcQ8BAoYrSMqOGR3JHYMqZO2DHdp2N+FJpx6VYFCAHJP1RZZa5K7KxncZ67MbXdLxGgREJQge8xnuI3WE3epUT1yqzl/U4lyx5FTEWNOjBYD5+y85TxQmOlx7h0BVIbNmzfLXbGQMBQJlCbIvS9DrUUVRbHlEQTWIE34HGTMObflJmKoIWxH8mQ20VdrKDJFbM+ePXLjiJ1Nu/er12/cLwIoW8zoMYKAEs+aMntF94jHoPgy5kchTMxcO427Kfld7969PQWlt7smiUX4KuMPEcWYyIgYCj9FJ3HTrerfLyb6Pd8I+E3EkNFxNiR47upAxmQw1RoOOGvWLHmMgKoA6ooPCgFketQBZiKoOO38BMkSRcoad+miTjkTIkoDSZHWEMadvyQ1FDfmvJD13UaVSnL0FUQpPHgcAY/D4HlA3BGHocQxL4YRYIcNGxbmeVEPCg/dz4NHgMRJexmlwWncgEGSa9KkiTw+gpkvWo/28RMoCBSe1lBumeuhHTl8+HBPiwqCR3F67dq1cCdP4h0zZowM87sNtYx9oqxhDFQzU5Q+fXo5Dp9hFMj4uFXQHjxCukdfCEDE6RQ5Df8gX6I2QbAhVcx64S/MgWHELtrPGD7EuAP5FNJF98kaw/r2Llz3OaCA+prFppDgETso/BgKPQobM66ck32UD77nVNB0paMWAb+JWNSenu5dEVAEFAFFQBFQBBSB0EVAiVjorq1emSKgCCgCioAioAjEcASUiMXwBdLTUwQUAUVAEVAEFIHQRUCJWOiurV6ZIqAIKAKKgCKgCMRwBJSIxfAF0tNTBBQBRUARUAQUgdBFQIlY6K6tXpkioAgoAoqAIqAIxHAElIjF8AXS01MEFAFFQBFQBBSB0EVAiVjorq1emSKgCCgCioAioAjEcASUiMXwBdLTUwQUAUVAEVAEFIHQRUCJWOiurV6ZIqAIKAKKgCKgCMRwBJSIxfAF0tNTBBQBRUARUAQUgdBFQIlY6K6tXpkioAgoAoqAIqAIxHAElIjF8AXS01MEFAFFQBFQBBSB0EXAbyL222+/yVvmT548adKlS2fq1asnb5d/4403BLXbt2+bzp07y7+TJEliunfvHrpo6pUFBIEmTZrIcVKnTm1atmxp4saNG+Fxd+zYYebPny8+WalSJXPt2jUzYcIE+dvaa6+9Zl555RWzZMkS8++//4bbX6ZMmeS7Tz75pNdj7dq1yyxatMj89ddfcl6tW7f2bHfnzh0zZ84cc/ToUfldiRIlzPvvvx8QrPQgDw6BefPmmZdfftnkzJnT605XrFhhNm7cKP5Yrlw5kzdvXtnu999/N8OHDzcXL170fO+FF14wuXPnNqtXrza//PJLuP2lSZPGVK9e3TzzzDM+L4Dvfv3116ZLly5etyEmb9u2zdSuXfvBgaB7ui8E+vXrJ7nxqaee8vp9ciS5kjhTt25dT0zDp9avX2/+++8/z/eqVq1qzp49K2vrzfj89ddfj/A8e/ToIf753nvved1u5cqVkq/ffPPN+7pe/dK9IeA3EWvXrp354YcfTMeOHeVvggKOQIK0SSdPnjymVKlSZtKkSSZBggQGp1RTBO4HgZIlS5revXsbyA1kBwI1fvx4n7tq3Lix2bdvn/gjRCxlypQSwAh6JEPs8OHDZs+ePVIwXLp0yVSoUMF8+umnpmDBgvI5xcaBAweEPKVNmzbcsQiKbdq0MaVLl5ZAOnbsWJMjRw5Tp04dz/45R/aJJU+ePMIEez+46HeiFgH8o0aNGuIjlStXDnewL7/8Uvzs3XffNdu3bzdr1qwRP4CU891z584J0ceuX78uxIx4ePXqVSHmkK4yZcrI5//73//M3r17hahlzZo13LH4nOKXWPvoo49KUnbbrVu3DLH5+PHjhnNTiz4EGjZsaCgGly1bZiDYbiOmtWrVyvz555+ma9eupkOHDuITly9fNps2bZIYFydOHPla/fr1zeLFi80///xjxo0bZ7766ivJpw8//LB8/t1330kebtasmdcL5nMKym+//dZ06tTJtG3bNtx2CCnEsvbt2wspVIt6BPwmYlmyZBHnIYjgLLB3khZJ8scff5RA8vnnn0uAQm0gOK1bty7qr0yPEHIIkFQg8pZALVy40FSpUkVUKLeRrEhE06ZNMz/99FOYj1GmIEzWCGgQNAIihuJBkCIYYez/oYcekj/ejKRJ4Js4caLJkCGDqG0kRwgjxv+P7Nmzm2LFiplHHnkk5NYl1C8I0o6CQALs06ePVyL266+/ipL6xBNPmBs3bpgWLVpIciWJQtAg5tYgUahmEDssY8aMsr0l7iRkEqsvf7P7WbBggZwP8dZpqCeos7169RLSDylUCzwCrMPs2bPFbyBAvogYscISNGJWihQpTNOmTUVBTZgwoUeFP3LkiCj7EPB48eJJAYoCyzH4GXKGD/LvyAyxJHPmzOGI2B9//GFeeukl8duyZcsqEYsMyAf0ud9EDJWA6ovExb9xBipAiBdWs2ZNcULaSQSkWrVqyUKrKQL+IvDFF1+YMWPGmLVr14bbFUGPNjhKFQnt2WefFYJFYHMbPklwswTPTcRInPizNzWMfaGioXYRTPPnzy8kjCDG9qgfVLEUJbQBqEZfffVVfy9dvx9ABFh/4hptItbPmyLmPJ2lS5eKmsG6ezN8AwJlFTI3EaMweOedd4TUR2S+iNipU6fk/8TPP/9stm7dqkQsgL7iPNShQ4dEdKAjhDLvi4jZ75AnUUl79uzpUbic+4OEQdIhURB5NxEjv+J3RYsWjXRcwxsRo8swY8YMiWEIKUrEAuc4fhMxZEyqxS1btpiPPvrIFChQwHzyySeeK7h586a0JQkI/fv3l8Sopgg8CAQIFrQRaeE4jaqOwmDDhg3S8mFGh/YMfkkSdc6U7d+/XyR+Z3szffr0Uiww84gh9Y8YMcInEWObnTt3StHBXA7B1M7lEBhRJQiyzBiRIJkXS5Uq1YOAQPcRxQiwrrt37zbVqlUTxSoiIoZiSyKDuNEKh4glSpQozBmixtJ6ooiwxtzZ888/L8oYhsLKPu6XiNFuojCABEAKVRGLYifxsnvECTpAEGqULdqTERExSDVFJYo/bWtikNNQXEeNGiUFoZ3/ImYRlzgGMY32N6q7c8bM15V7I2KbN2+WkY/ixYvLHyVigfMbv4kY8itVPyoYygItIQKBHVamTUM1iaMMHjxYSBvBTE0R8AcB5nCYr6F9aOcn7P5QAvA/iBQBkDmaoUOHyrzF8uXLw0j3EDWSVr58+TynQzsdXy5UqJD8jpYjrUdfihitq8mTJ8vxzpw5I9sTIAsXLhzmEqlmSc5UrBUrVvTn8vW7AUCAxEbyhFQzUB8ZEWObCxcuCNGG3EPIbbvbni4EjfV3DklDuGix2xkx4iQx9H6IGGoKLU9m0zgHJWIBcBQvhyDWEJdQlyDykRExyBo3XiBUJEuWTIQLp6FyoogRq+wNHBAx1rdv376ioFHxvsmnAAAgAElEQVQ0oPi7i01vCLiJGCo+bU6+CxnER5WIBc53/CZiOA7DglZlYC6BCmz69OniHMiySLS0hvgd1eD58+cjlU4DB4EeKdgQ+P777yVokOTwK7eREPFL5nJIogREgtjMmTNlXsPOaf3999/yfVRbp7lbk9xBRDsRFQvftrM8fIdzQeWA6I0ePVruiiKRHjt2TMiYuxU6ZMgQOSaBUC1mI8CcFYQIYs/sDWpB/PjxJVlBcnwZ6gWFAEnYWXRSpObKlSvcTJe7NYlaRtsS4s+NJZA0ayi7trXtbk0ym8aQ9+nTp2VzlGDmG5977jnxW7fKErPRD+6zQ33nrlaMOENMYp6amVVms3wZc6/cEIK66jQKTxROhAxr7tYkajwKPPGLG4wYt8CHMWZUnSMcbiKGf1CUWqO4pIBlzhUSGdm8YnCvVvSfvd9EjAVm3oEKD+JFoOBnJHoCkr1FGzkVxk9iJLj4egxA9EOiZxCTEYDEE+DefvttSUj4GPNX7iSDGsFMD+Sf5AlJQr1t3ry5pwggkaFgMSAbEREjmZEcH3/8cVOkSJFwRQQt0EGDBklr4cUXX5SkR6XK7/iONc5z4MCBoq7ZebSYjLWe2/9HgEedRKaI2a0hbCTB8uXLh7n9n0RIK9ztb24iBunDp+xYBwnRm/maEbPbqiIWMzyYOyYjU8Sca3bixAkp7JyG2MHjJhj98UXE+D1+ymwshYC3OzTtd30N69vPVRELrO/4TcQINlR5JBkCCLfFUkVa6Z25MJIY6gStGWZ6fD27JLCXrkcLNgQYRuUxKSS6bNmyyemjVkDuqTbt41EYjKUyhAhduXJFFDDkdlQyZnEw1AIIEQqtDVgkyalTp8osFz4NqcKYOUNt4O5Hb48ToDVPFcvdmahd/D/gnKhMmbuwVSktBQikfSxGsOEfm8/XTcRQOLhbDeWBG5EgWatWrRKIKEiZ5SHOPfbYY/I7Yh8FKrM3dsaHWEmhgLKBP9sZMUY5aFWxX9sed2JPQYFCglrBPBnqC3doMovoNCViMcNj3USM4o+nB9D6Ix5BsuyzC/n5448/FhXTGvEFX2A9uSsXszNl9iYg25HiZ+YS8StvRrwkjuGrTz/9tJA2fMz9LEYlYoH1Hb+JGHM6JDlmI+yts051AlkWyRQjKPmaswnsZevRghEB5HICjfPhhlwHbRx+h1qGhG6JFUEHv+SzpEmTyuyFNZIddzsS8OyMmXN7Nz60GHnEha/HT6BeQP7sIwws4SOI8nssceLEsg/3TFswrkVsO2faipAjlHz+2J/xI9RNSDix0BIxe0ekxQm/4HNa19aHIHP4M/tyGyouvsnf3ozCAP/FSKIUDW7ljG0oWiJSRmLbOkbH9ULWWStiAo+W4GfmDyHO5E5u5LExjbVyquicL4o8BSVzf9bYH+vrzSgGfT0IGF9j3swSP2IisdFtzIxB6Hioq1rUI+A3EYv6U9QjKAKKgCKgCCgCioAiEJoIKBELzXXVq1IEFAFFQBFQBBSBIEBAiVgQLJKeoiKgCCgCioAioAiEJgJKxEJzXfWqFAFFQBFQBBQBRSAIEFAiFgSLpKeoCCgCioAioAgoAqGJgBKx0FxXvSpFQBFQBBQBRUARCAIElIgFwSLpKSoCioAioAgoAopAaCKgRCw011WvShFQBBQBRUARUASCAAElYkGwSHqKioAioAgoAoqAIhCaCCgRC8111atSBBQBRUARUAQUgSBAQIlYECySnqIioAgoAoqAIqAIhCYCSsRCc131qhQBRUARUAQUAUUgCBDwm4jxctB69eqZw4cPmxw5cpjBgweb7du3m9q1a8vlHzx4UN7uzotuy5UrJ2+a5+XfaorA/SDAi7nxrR07dsjLcb/88kuTIkWKcLviZcy7d+82FSpUEH9r2bKlfI+X7jpt+fLlpnfv3rLtihUrTMOGDeUl3ezbvnCZF/K+/fbbZujQofIiZrfxIt1x48aZAQMGyAuceQn0unXrZB+//vqrvJCZl5FjvMCXl/9u3LhRX6h7Pw4QDd85ceKEqVu3rilatKhp3bp1OB/ilP7880/Tp08fM3XqVIPvtW/f3jRo0EDWnRcsL1q0yLRq1cr8/fff4lcHDhyQP40bNzbHjx83vFTexkX8LVOmTGbMmDEmffr0Xq+YF4Z3797dLF68WF4abY3z4Bx69OghL5fGLytVqhQNqOkhWSNiRteuXc2FCxdMypQpvYJy7do1895778mLwXPlymXmz5/vefE3L21/8803zfXr1yV2jB8/3pQpU8Z07NhR/IP1Tpw4sYkTJ47sm/hDHKpRo4bXY/E5L6jPmzevqV+/vmnbtq1sh4+Sw5s3b26+/fZbeWk48dD5onFd0ahDwG8iVrJkSZM5c2ZJZmfOnDGffvqpKVy4sCwwAYJ/k5RefvllCQhPP/20GT16dNRdke45ZBH4/fffTenSpU2JEiUkga1du9bUrFnT7Nu3zyRPnjzMde/fv18C4NixYyUZdurUyZQtW1aSqQ1ahw4dMh9++KEQOYiYtZw5c8r2HAv7448/JGmmTZvWJEuWLBy+x44dM02bNjUDBw402bJlMz179pRk3K1bNzNz5kxTvHhx89RTT8n3FixYYE6fPm06dOgQsusUahcGmWf9SW6+iNiePXvM1atXzQcffGD4N2s/fPhwkyFDBkmi+F6XLl1MwYIFzYgRI8yRI0fMhAkTBKqMGTOaFi1amDp16sjP+A7+mzRpUiH1buNzCohBgwZJ0YA/Wdu1a5fE4Y8//tgsXbpUCCFETy3wCCxZssSMGjXKbN68OUIiBiHq27evkCHiGfENcQODzFPMzZgxwxCvGjVqZDZs2GAeffRRIWUUdLNnz/YUBxA+fJV9eDM+h8Tt3LlT/M0SMQpc9ps7d24hX5xHmjRpxI/Voh4Bv4kYFRtBhqRHpUf1iHOgLJCYtm3bZpYtWyZXgjr2/vvvi0N5S2hRf7l6hGBGgIRDYjt58qSoTBjEp1mzZmEqQFSHIUOGSHVIIkJhgJCRECFYEDOqT4LbxYsXzVdffRUhESMpomJRRHizo0ePmqpVq0oxQiImqFJ4lC9f3ly5ciWMr0PKUIUpXtSCAwEKgDZt2ghh90XE8Dn8DOXf+lmvXr3EZ/iZrgBkC4JE1+DJJ5+UotUbEdu7d68or+7iwo0WpB4VjsRrjaSNuobhl8OGDTMTJ04MDqBD8CwhYYgR58+f96mIoXo98cQTcvUQrVq1ahmKQQxCRr5cs2aNxL05c+ZIXkXZdxMxSPnNmzclRtpi0xekxCtikCVikHviJQQPmzZtmuzjk08+CcFViXmX5DcRo/pHCqV1w+IReJBkCTSwaRwHB8JwxqxZs4pTvf766zEPDT2jGI0AKgLEi+CGv2FUfigK+KA1AhuJk+qOyo6AgtyPLy5cuFAS5ty5c4XMoV58/vnnERIxEioJFEXMm9EyQP2gVUAgg4gVK1bME9Tsd1CIP/vsMylMHn744RiNtZ7c/0fgboiYEy+UVAjSq6++Kr8myc2aNUviIUSNopVtEiRIIJ+7FTHU0urVq0tCjci8ETG7PUl53rx5ogBHth9d66hD4G6ImD068YlYAvmxRIo24htvvCGbvPXWW6JmUeRhbiLGsW7cuCG+FTdu3Agvyk3EnBvTaaBNiZiiY0RR5xvOPftNxAgykydPNp07d5bK76OPPpIZhUSJEgmTt3MVFStWFKWMqpA2ULp06QJzhXqUkEIAAkawQvbHkM9p0dAatIbMjnLBbAUJzRIx/BISRKsGUge5QjkjoTlbk+yTYsLOiKFMQOB8ETFaCqh1nAPqGgEM5c1+354X6kSqVKlkVlIteBC4WyLGvCJE+9y5cyZLlizSlsaXIP78DoJFEVq5cmUpHGySoyBAyXAmPWJlZATKFxG7deuWzJhRkLCPrVu3hvPF4EE/uM/0bokYvkEexQ9Y11KlSsmFE+vYB21xVHkKPkvMIGJ8j+KPGMe8GESNOHS/RAwSSIuS+ULmDIlldr41uFciZp+930SMdiMqFxUYygH/6bNnzy5zYAwrs6gkQGzTpk0ihzIzpqYI3C8CECiMG0Ug+8w7vPbaa57dQaLatWsnyZAha4IUSRESRtXJQCotdWZwVq1aJeSJoeY8efKIz7pnxCBrVJkQMRIqN6NYY36I9ibb0Ebg2Axl83tmP6zyRTLnZgGCp21D3O/16/cCi8DdEjF7VigK+ABJEtIFIYKYU4xCtiBrtCpJmrSY3IoYLW7GPSBR+NaWLVs8F4zSynA2FpEixucUK7Q/8W0GvNUCj8DdEjHO7Mcff5QCEpXezv2hsqOko6YyWwhB58aPJEmShFPEiEuIIcy90iqnxf3DDz/IRdOpKlKkiAeAiBQxNiLG3r59W+YYfd1kEHg0Q/eIfhMxAgYtSZtcIFkw6enTp4dRvXAg+tHM5RB41BQBfxBgxguy9dJLL4ka6zRUWudMGIoVc1n8TUKkZcMsDUah8M0330iQK1CggPixm4h9//33QrBQNpi/wZet0fpECaGapfhgKP+LL74QBY1BXVr0GEERNYQEbecw/Ll+/W7gELhXIsb2jGzQGofAczMH5Iv2JHNmEH98liFr7k5zEzGG7VFC8FFIl9PfUFOdN364Z8TcqLz77rtyLG4SUAs8AvdCxDi71atXy6wppApVitEL1o91RC2j44Saiirmbk2ihOIz+JstGi2he/bZZz0qG8eJjIghsFBc0m3AR9WiFgG/iRiJkOqORSNJMUhIYiPoUO2RFFEjSISTJk2SPreaIuAPAqdOnRKli+BEBeltjoFtUKjwOfzQ3tLN7eFO89aadBMxAhzfZ+jWW0Ljrk1aoFSPtEMhgQzpE0CtrA9JIwmTmCMbpPUHG/3ug0fgXokYd09yRxrknrseKRrwG2YHaTlRCJCg8QkUUzcRg4TRxmZgH0XNV5spMkWMOyhJpBA+d5v8waOke/SGwL0SMdabm3xQMCkciSsUgjyuB2WMYX78B4Lu7a5J1LQmTZpIcRhRwRcZEbOtc/sIFl3dqEXAbyLWv39/GaCmL41qQLL5+uuv5axpA9mhaQIL8xJqisD9IkCCQ2WgfcjAM+0/a7RwIF7MJuJ3GImIwIaMTyHglObt9yBPPAqAPytXrpRAx91DbqMC5W43Xz7M8D+PJyBpc2fwlClTPLtA4id45s+f3zPAfb8Y6PcCjwBrz23/GO1mVFVaQKibrC03gowcOVKKUQwFgTttnYaqxSNXaFMyuoG/McZB0mQg220M+vMMKmfL3W5Dgqa4pbWJ8f+BZz5RFHOXMJ9hPJsKIubrbt/AIxm7jkiniHEdHn/DIyGY7+ImNfIjM1/EMMZ6iBcIFjZnEiecRsFJYYm6TlxhhAIfZP/ejJyLX3kzYijFIueE4UPETUYuOCf7TDp8D0KoFhgE/CZigTlNPYoioAgoAoqAIqAIKAKhh4ASsdBbU70iRUARUAQUAUVAEQgSBJSIBclC6WkqAoqAIqAIKAKKQOghoEQs9NZUr0gRUAQUAUVAEVAEggQBJWJBslB6moqAIqAIKAKKgCIQeggoEQu9NdUrUgQUAUVAEVAEFIEgQUCJWJAslJ6mIqAIKAKKgCKgCIQeAkrEQm9N9YoUAUVAEVAEFAFFIEgQUCIWJAulp6kIKAKKgCKgCCgCoYeAErHQW1O9IkVAEVAEFAFFQBEIEgSUiAXJQulpKgKKgCKgCCgCikDoIaBELPTWVK9IEVAEFAFFQBFQBIIEAb+J2F9//SVver906ZJJliyZ4QWlvECUF9Ba4+3xhw8fNoULFzaPPfZYGGgWL14sLwvnRbiZMmUycePGDRLo9DSjC4EtW7aIj2G8yBu/i8hOnjxpdu/ebV5++WXDC5zjxInj2fzatWvyEt5ixYqZs2fPmm3bthlequy2VKlSmbx585oECRJ4PRQv5WU/vDCclywXL17cs92MGTPCfCdx4sRy3o8++mh0QajHvQcEfvvtN7Nw4ULPN8qWLWsSJkwYbg8HDhwwR44ckRjGy51tDCRGrlu3zty4ccPzHV4M/uKLL5pDhw7Ji+Ldxuf58uWTl9j7Mr7LS5pLly7tdRNiMr5foECBe7ha3fRBIrB+/XrJjViGDBlMzpw5zUMPPRTuEPgXfkacIYc6YxQb89muXbvMjz/+KC8JJ/59++23Xk/1rbfeEt+KyJYsWSLx0NtL5fkevoyPs41a1CPgNxEbM2aM2bhxoyQe3uhOMoJU2be/b9682XTv3t389NNPZu3atea5557zXNXgwYPN6dOnzauvvioBqVmzZj4dI+qh0CMEAwJr1qwx+E3lypUlKO3Zs8fMnDnTQG682YgRIwzELVu2bKZgwYKS3JxBjiRGoISo/fDDD7Jtt27dTIkSJUyOHDlkl3/++ae5efOm+fjjj02aNGnCHebKlSuma9euJkWKFCZ16tRm06ZNcn78nyAQ49tJkiSR75E4CaBz5sxRIhYMDmeMWbRokdm6davJmjWrnHGFChXM448/HubsDx48KPENEn706FEhXQMGDDDPPvusFKF89tRTT8l3fv75Z/EL/Hj//v2mZcuWQszffvtt+fyff/4xly9fNqVKlTKZM2cOhxKfr1692nTp0kWOg9+6jeK2f//+4tccSy3wCJDbRo4c6fEb8hwE3U3EOnbsaJ5//nkRJJYtW2b69u1r3nzzzTAnTDx5+OGHDSSrZMmSsubjxo0zx48fN3Xr1vXs8+LFixILGzdu7PWC+bxHjx7m888/N23atDFt27YNtx0xqmrVqqZWrVqyb7WoR8BvIoZjEUgqVqwoCYsEc/XqVc8CE3SWL19upk6daqZPn+4hYiSn+vXrGxIrzHvQoEGSEIcNGxb1V61HCFoEypUrZ5InT25GjRplUBpIiPv27fNK4El0kKpjx46JavbII4+EuW4+xzcpIEhY1qhaO3Xq5FEaUMhQLfh+vHjxwmHH8Vu0aGEmTJhg0qdPLwHyzJkzkoghdgRPgihG8qRQ8aViBO3ChPCJo9RTYLrVfOclU2jij5BxSBQxsV27diZLliziWxQC8ePHl6+gfhDrPvvsM/k5Y8aM4j916tSRn//77z9RQPAZb6opn9++fVsKkIkTJwrRdxtxlSSL36PGqQUeAXIaa4vaHpHt3LnT5MmTR9a9devWkiNbtWrl+QoEDjWeeALRt4Xk+PHjRQSZPXu2Jy7hg8SqJ5980ush+ZwCtnnz5rJPb0TslVdeET+m8FQiFhi/8ZuIEWhYNBIjcuivv/4q1V/58uU9V4AqRnU2efJkDxEbOnSoKAM4E0aga9iwocivNmkFBgI9SjAhANmhyiTIQfzxm549e4a7BAgQVSGJKmXKlJIECWL4FgEP6R01jYRGezwiIjZv3jwJlGnTpvUKFa13ChF8nj9TpkyRn0ngTvv7778l+K1YsULIpFrMR4DiEfJMy6hz586mUKFCXsm480pQxObPny/KgzcjuVGEQvi9ETEIVu7cuaWVFZEtWLDA9OnTR3zZaZBCCl/bzoKUqQUWAZQnyBRjO9WqVZNuT2T/5+/cuSMqFSo+BR/KJz+zD1RZDGXdtqvdRIy2OMdlBCiyER8UL9RWJxEjPhEvKRTpYtGCVyIWGL/xm4gheyOt4gCwedo5VmK3l+CNiKE4oDQQSCwR++ijj4SIeWv/BAYOPUowIIDv9O7dW+R7WkZuqZ+AghKG39GKZPaL1iL++d5775nr168L+eLfzEqQ0JxEDAJFMLOtSapOApMvIgZmtIrq1atnLly4IKowrQS3cT5Lly41w4cPDwaY9RyNkRYQJAzltF+/fqJikcS8GTGQGcP27duLekFr2j1TiBpBa3PHjh2eXaBAoJrmz59ffkfS5fv3S8Q4T3ybIgV/UyIWeFdGlYII8zcEHj+aNGmSSZcundeTIf6MHTvWPPHEE6LGQ9pOnDhhKlWqJOQfck3Bh9iBiEH7ESJGoYCSSgykAEA9++STT+6LiHEOHINiktEMJWKB8xu/iRjqAq0fqnxUr6RJk0oliAMpEQvcQsaWIzFcDwljiJTqjYQzcODAMJdPOxzSRVuHpIhM36tXL8NAPSTJKlKoU0OGDAlHxGgnEPwsEbNzjr6IGCowhA6yh8rL/wcUO6t42JND8W3UqFE4pSy2rF2wX+dXX31lPv3003AKlL0uSBaFAcQHQkYHgMFrp+GHtK8hY9YgYhQMtoClSMCn74eIcWMIc4oclxa5ErGY4XXELFQuFC5vhgDBbClrxtqxjhCjpk2bStsahR2iVaVKFdkHbUNLxJjlskSMIvJ+iBhzrnSyPvjgA8ONIkWLFlUiFkDX8ZuIkXCQYFEhmI2AjDFAiDTOACLmqzUJ48fxsA0bNsh+vvnmG21NBtABgu1Q1atXFyUM9YkhaO6CxHdIZNYsEWM7tmemYu7cuWbatGmibECw2IY2Ja1JiBQzW6gQJDH3jJizNYnyBZmyRjsAgse8GcmTmTVapVTD/F+wigiBDlWNbbzdcRds6xAbz5dWEYoDdyJGZKw1yRNVwa2M4nskXefsl3tGzNmapC1Vs2ZNz+HwP4gb5m5NUghwQwo+jeHj+CEqDIWC80722Lh+0XnNrCNxytsYhT0vcih5k5xq7/RmzpAZP+ZT6SBBlLgLtkOHDkLEnDNixENmD1HzWXu6Agz/Y9xogg9Yc7cmV61aJQQORQ4jlxOnKBys4had+IX6sf0mYgzrI48SHOhLQ8IaNGggjD4iImaH9WHhDMGSyAhg/K2mCPhCgKFn5msgYqix3MqN0oSM7jTk+71790o7gCCGj9KipE3gbGV6U8S8Deszc0abgUDonr9YuXKlzIWNHj1aWgq0nQiSzHrYuzlJoNxyXrt2bS00gtS9Idz4FXeKR2SWhKNwkRSt4RckPNQRp3kb1ucGEG74gMz5emSKrxkxu29VxGKOo7FWFITO2WlvZ/fFF18YCj8KR0gVRJ7Cj+8Rf8qUKSOtSwpPb8P63HhEAYjiStHgy7zNiDm3VUUssL7jNxGjAiNxIaOT4JDlkVaR8DGSDwmKAISESgK1igDqACyewVRaOiTJyAYaAwuPHi2mITBr1iwhVwQmntm1fft2aVEi+6O8QrogZ9yCzewig6f4G48XQOZ3PzfHScSY46C1xHA2t4jb1iSKGXc2MXCLr7qNuTBmh0iotExpTTLvQxLFuFOJm1nsIzRiGqZ6Pr4RoE2IuoChUpDAWGcSHj7BDSM8eoLC0g7Ns96oUsQ6e/cavoriSgK1z/WyM2WoZ+zDzoixLa1NO6vjPjsKELoJ3LRCm53HHTCP5r5TTolY9Hk2ogLFlzWKQDo+xCKeKoCSRSxhlAfVyj67ED/Cb2xbmnlB1pcbj9gHaw8Ro8hkpoxYQ661xSV+wT4oDr0ZZI59Ukww+0iso53pfm6ZErHA+o7fRIzKDWcicCCt4mhO1g8Ro/dtjc+crRnaRRhtJGYn1BSByBCAcBGUMCpE7iKCLDmJGJ9ZYkWQ4+5eS6yc+2fugu1IZM7t3edAgUAStdK9+3PUEmaISKIowRQo1kjMfM7dm/Z5YpFdo34eMxBwEjFnjIqIiKFgMdPjNPyCWIlKYX3IEjFvD3TFT1DU7LPHnPuyRMzeYELx4Y2IkZSJv8xRqgUWATcRq1GjhucEIiJiFJHECadB2s6fPy9+884778jd38Qauk/ejDhHvPNmlojhj1iuXLm8EjFuwuOmOc3JgfEbv4lYYE5Tj6IIKAKKgCKgCCgCikDoIaBELPTWVK9IEVAEFAFFQBFQBIIEASViQbJQepqKgCKgCCgCioAiEHoIKBELvTXVK1IEFAFFQBFQBBSBIEFAiViQLJSepiKgCCgCioAioAiEHgJKxEJvTfWKFAFFQBFQBBQBRSBIEFAiFiQLpaepCCgCioAioAgoAqGHgBKx0FtTvSJFQBFQBBQBRUARCBIElIgFyULpaSoCioAioAgoAopA6CGgRCz01lSvSBFQBBQBRUARUASCBAElYkGyUHqaioAioAgoAoqAIhB6CCgRC7011StSBBQBRUARUAQUgSBBwG8idvv2bdOgQQOzfft28/rrr5vJkyebtWvXmgoVKnggWLp0qRk1apSZNWuW4eXJTlu3bp0ZMmSI/MmYMWOQwKanGZ0IfP3116Zs2bKeU+DnZMmShTulli1bmoULF8pL6fv27Wt4oS52+vRpU7t2bfP99997vsOLkd966y3Ts2dPeXG32woXLiz78HYctp03b57p2rWr4aW6mTNnNitXrgy3j6FDh5oRI0aYDBkymNWrV0cnhHrse0CAl31fuHDBvPHGG2bMmDHiT96Ml8ZXqlTJ/PTTT6Z58+amUaNGns02bdpkPvvsM3Pnzh35Pi8A37Ztm2natKls77bs2bObYcOGmbRp0/o8Uz5ftGiR7Mdp+GKbNm3kV9OmTQvzAvp7uGzd1E8Epk+fbnr37m14QXynTp1MvXr1fO5x5syZpmPHjvKybvLlww8/7Nm2YMGCErMwtitQoIDp3LmzYf/ejDjjjI/etuGF8pUrVzYNGzb0fPzdd9+Jjx45csS88sorZsGCBYaXz6tFPQJ+EzECD4s1duxYWcAPP/zQ1K9f37Rt21bOfvbs2fJvgg/J6bnnnvNc1ciRI4WAJU6cWAJG1qxZo/6K9QhBjwCEp0SJEiZ37tw+rwXSj18WK1bMzJgxwyxbtszgbylTpjRffvmlECoIEUYi27Bhg+nevbv8nDNnTgmcpUuXlp9//fVX+c5rr71mnn/++XDHPHHihGnSpIkE3Vy5cklATZAggewDu3z5spA0ki/7eeyxx4J+DWLLBVSpUsUMGjTIxI8fX5IWPgfBd9uPP/4opIo/2bJlk20g/iTEW7duSWHK74oWLWr69etnzp8/b0aPHi27oQBt0aKFqVOnjvxMIbBlyxbxVW/FKZ9PmDBBikbqcnwAACAASURBVIZHH33UQACtQfj27Nlj2rVrJ37PsY4dOxZblivGXOehQ4fMxo0bRaQ4evSoqVWrlhAnfMNtK1asENINqV68eLHkQgQK1rZVq1YGgrRkyRLzzTffiA/Zz8aPHy/HIMfGixdPdnvq1CmJMdaX3MeC0JUqVUpiUuvWrT15Gh+FeL3zzjsmffr0pmTJkiKs2BgWY4AN0RPxm4i9+uqrsugkIpxh7969ZseOHfKztc2bN5v+/fuLWuYkYnx+6dIlSZZKxELUwx7wZR0+fNiUKVPGDB8+3OTPn988/vjjXo/w22+/SVX5yCOPSIFAUkIloCAgCaZOndrzvcGDB0uALFSokPzOTcRIdE8//bR54oknvB6LoMv/AYqKfPnyGSpSiBhBGLN/Q/SeffbZB4yI7i4qEbhx44Z56qmn5BDEsFSpUpmPP/44zCH/++8/SZR0BSDc+MmcOXPM/v37Tbdu3cyff/5pUFR79OghBQQk6urVq6ZLly6yHzcRQ6mliKBAjchInH369DEHDhzwbHbz5k2PivHtt9+Kz1OEqAUWgb///tv89ddfJmHChHJgBAuI88svvxzmRIhTKK6o7R988IGhw4QaOmXKFCFFVatWFZUdJQxChg/yGXHNTcQgUxSNEPg4ceJEeMHsF+XeCiaQe/zUnu/UqVPNzz//LIWFWtQj4DcRQ35fvny5VHwoASwkiS5dunSes1ciFvULGVuOgGx/7do1g08RoGg9PvTQQxFePlXdRx995FNB4zMKASvDu4kYxIoq0lebiHYTCZgiBIJHm5OKkv2tWbPG1K1b11SrVk3+X2AEVbXgQgA1E/WB9tKTTz4Z5uRJugMHDpRE1qFDB1EyUCVQvCgYIPF8jvLx4osvSgFBMfHMM894JWKQKz63iq0vpLwRMbstBPKLL76QFhOJXi36EEB5Ys3pFrkNBQsifvLkSU98gazTBiduQbL5OU+ePJJTy5cvL6o7RMtNxBBAaHNznLhx494TEXNujKK6a9cuIY++RjGiD83QPLLfRAwGjxIAo0dtKFeunMzBOE2JWGg6T3RcFVUmShd+x5wEVSBtSG9G4mvcuLG5cuWKKFa9evUKl0TZBgIFkbKWJk0aqSxRtTBULAhfRPM6VKvMXDCvRivLtq8IZvg/qhsVLgoywZSqVi04EBgwYIDhzz///GNQCiDlTsMnIU90BFCg+BsiRkycOHGikPOLFy+KDzIbiN+ijlmDnOHHVo1AYaNVfr9EjH2R3PFh5olUEYsePyOuNGvWzOzevVuIGK1JFFWnodajgJ09e1aULAziRXuQvIox0mNHMVD2rV9AxCD+xCmIGbNoiCF0o+6XiNWoUUMKBlrx+DytebWoR8BvInb9+nWp+HAk5E7mZSBjVIK2b61ELOoXMjYeAWWM4IUiEZHhiygSc+fONQypOo2WETeSOJOeWxGDwNGOgoj98ssv0k63RpXKeRA0IV20nBh4Jdny/wFlg1mL9u3by1dQKaiQUcpIwGrBgQAzYCRVkuuZM2fCnDT+xywWRquHtpEl3yRLlFE+JxkTE6tXry4zYfgJCdPdmiS5sg0+CZmCxFmjSGD/WESKGJ+jyDErBgHAD9WiB4FVq1bJjBi+wU0cTjt+/LgM6ONTdlyiSJEiJkeOHELkaXlTBBKjUMjYjlky5kzdihjzgbSmmW2FzBOXUOsxiJVzHMPdmnQjQ8yiAKWNbgli9KAXO47qNxGrWbOm3Elk1QPUiXHjxsl/ftueVCIWO5wp0FfJfEWmTJnC3P3o7RzssDzVXt68eT2bQKiYy3DO2PChm4jRlsK/USwgWgQna9wA8NVXX8nNKiQ+5oloPdLG4jOCrx2u5jtI/igjKCa+7r4LNI56vLtDgAF65vyIZ077999/w8yEMbfInYtbt24VAka7iJYmsTFFihRyVzntbubI8Bc3EWMom33Q4kT5Jb5aQ7m1c7aRETG+w8wiRQE3CahFHwLMA/LEAOddipwN68t8KkorijkxjTkylFSKROanUbneffddKQAh1JAyYpSbiPE5aiiFAfOFDPXTZsReeOEFUc+sRUbEiInMo3ETgbYno95v/CZitFqo3qgWSVbM2lD1k4zsILUSsahfyNh4BJISqgEtwYgM+Z/gRUBzVoX8LlGiROK/TnMTMVQwgh6VK8HRPQgLucL/2YagSsJlgB8ljQqWJEjSpMokIaMgU+2qBRcCtGow+2gI59lzNxr+SEsan6T1yF3gzM4yG8gcIqopN4TQnkSdxV+ImW4iRiKlBYXqQRvb+SgD5zEjI2LcrYeKQlJX0h+9vgaBQp0kBriNwg7Sjj/QkoZ4z58/X9YfJR4FlDsjUWV57M6kSZOkxentrkkUNvwT/4no0RORETGOwZwhcc0qsNGLYGgf3W8ihtSKc3F3EDI6qgE9cesEtGAYVEYi5XdUe7aiIxgh0dPefOmll6Rd4+3xAKG9BHp194IArRlmdTAUJwZTSVS0byA5ECt7az/BC+PuINQHhqzt7AR3BFGdomTZuyGZxeDmE/bF76zKi+JBsiRAMrvhNhInahiJlm0ZjuYOYbvf9evXS9uS/UH6SI76CIt7WfXo2Za7ZSFCthVNe5kWE+tIzOLRAigaPHKAdUcxYz6Hm0hoP7MtSYzPUMj4Pr6LD9FyOnjwoGwPYaJodc6IkWjxb2+Jm/1R6BI7iau0uJnrIYZyDHszCK1Q4rI3n40eRGPPUekIUfhZQ1WnAOPGIuZIUech7hB1Zgz5N99BwaSjxLYYrUbiCetMzEChQsVH5STmcIMIedUWh/xMHORROt4MRZ/94dPETRRbtj937pycE7OuGIVExYoVPT4Ze1Yueq7UbyIWPaetR1UEFAFFQBFQBBQBRSD4EVAiFvxrqFegCCgCioAioAgoAkGKgBKxIF04PW1FQBFQBBQBRUARCH4ElIgF/xrqFSgCioAioAgoAopAkCKgRCxIF05PWxFQBBQBRUARUASCHwElYsG/hnoFioAioAgoAoqAIhCkCCgRC9KF09NWBBQBRUARUAQUgeBHQIlY8K+hXoEioAgoAoqAIqAIBCkCSsSCdOH0tBUBRUARUAQUAUUg+BFQIhb8a6hXoAgoAoqAIqAIKAJBioASsSBdOD1tRUARUAQUAUVAEQh+BJSIBf8a6hUoAoqAIqAIKAKKQJAi4DcR4yW2vBWeF37zUlJeVvvLL7/IC5at8WJcXpLLC7150ai1n376yVy7dk1+fOaZZ+RFp/blpUGKp552ABA4fvy4HCV+/PjmhRdeiNBnrly5Yn777TfxPV64a40XM/Nyb164mzJlSvFXXgTO7/77779wV8FLmVOkSBHGf50b3bp1y3AsXsjMeaVNm9bzMf8fzp8/Lz+zj8SJEwcAJT3Eg0LAxjjiW2Qxipcm41PumMbLmy9fviy/J0byQnhiJv72v//9L9yp8mJx/JKXhvsy4iexNV26dF43Yf8cl+OpRQ8CN27ckLjw8ssv+4wdnBnxiJfMW7Pb4xunT5+WmITPJE+eXPaDL7G23szGs4iuGD8lDtmXi7u3JS/HixdPY1WA3MZvIrZixQozYcIE+c+eKFEiSTQsYMOGDeUSjh49agYPHmz27Nlj1q5da5577jn5PYlp4cKF5tSpU0LkSHR9+vQxadKkCdCl62GCEYG5c+eabdu2mT///FN8q0OHDqZkyZJeLwXfxPdIVhs2bDBPPfWUbEeCmjNnjvnmm2+EnOG3TZo0keA2ZcoUs2DBApMjRw7z4osvyvYkVohas2bNTOrUqcMdi/3379/ffP/99yZJkiTiz127dpV93Llzx/Tt29ecO3dOAijH69atm9f9BON6xIZzHjJkiJk4caKpVq2aad26tcQ3b0ZM++yzz4RAYR9++KF5//33DYSJ70O6KCKyZs0qPkHinTZtmnzG71599VX5HmQ+bty4pnHjxiZjxozhDsXn+/fvFz86cuSI+J3b/vjjD9nv6tWrzapVq2LDMsW4a9y7d6/EBfLchQsXPH7h7UQXLVpkZs6c6dmGXAgZX758udm8ebOIG5C6Ll26mNy5c5v58+ebMWPGSKwpXLiw+AvGNu+++6759NNPveIBeeN82A/xrG3btuG2gzjy/eLFi5u6devGOFxD8YT8JmIFChQwlSpVMg0aNBAnIPGR2OwCw+ZnzJhhtmzZYkiilojt2LFD2HiGDBkkSdWuXdtUrlzZ1KpVKxRx1mt6AAiQ6DZu3Ghq1Kgh5GjgwIFm9OjRkuC82ZdffmmWLl1q+NtJxA4dOmQGDBhgevXqJYpao0aNpGIlMGE5c+Y0nTp1MqVLl5afqUovXbokJIuCwW0HDx40zZs3N6NGjZLEOWzYMHP16lUpLMaOHWs2bdokCRcSRnLl/wfJXS04ECBBzp492+TPnz9CItazZ0+TL18+U7BgwTAXdvLkSSH/2bNnN2fOnJFE+vXXX3uIPj7TokULU6dOHQ8Rw99Q4PA5t0HEvv32WymA161bZ44dOxZum+3bt5tWrVqJv+L7aoFHgHWZN2+exJnIiFiFChUkltEZsobKTmx5++23pfDs2LGj+AwiB8Rr/PjxEg/xTVscUBRSUL7yyiteLxjVH58ZOXKkKVasmFciRgHBPurVq6dELEBu4zcRowXzxhtvSPXFf3oSECweYmUNRk9lMHnyZA8R+/vvv0UhoBWJ7AoDJ9BVrVo1QJeuhwk2BCBE+IttMUJwqNiQ2X0Z6la/fv3CEDFIGCoFvyegobDhvyNGjBAp3k3EVq5caTJnziztTW924sQJIW3t2rUT/4XEEczy5s1rypUrJwmYIIpt3bpVyBjk0FuSDbY1iQ3nS9uoTZs2ovb7UsRQ9mvWrCkEiQKBf1ujtWl9lqKB9ccv7ZiGm4gtW7ZMCP1LL70UIbzsA7J/4MCBMNvRiqcowMcpOtasWRMblilGXiO5D8WKItIqpe4TpVhr2rSpKPtDhw71qOV2RIKYBxEjfxJLiCuYm4jhgxD4t956y6OQ+QKFOEVMcytiFIyo/+y7bNmySsQC5FV+EzFaPFRz9K8nTZokwcOqXhERMef1EZxIilRwvpJdgPDQwwQRAhAq2o1WSfB26t6IGH6WLFkySarYV199JSSKQEfFSZuIfRYqVMgT8FDLnHNf7mNR+aKsoQqjwn300UeyCeodwXHx4sUmYcKEoo6hHlOVahs+OJztbogYLR8IF20dEliWLFmkzW0VVMgRbURalyhs6dOn91w8LckqVarI97BBgwYJ8aNbEJH5ImIkUeIwiRlfVCIWfX52N0SMNjOKPOuOKrZ79+4wc3+QOMYsUFMZebA+xTp/8cUXkjsh9Tt37pR2Jp0l26q8FyKG+oZS+8knn0ghqUQscH7jNxFDJqftSBLDKV577TVpTyLR3w0R4/uoBPTAixQp4nP+InCQ6JGCAQHa2UjyJCznEL773O+HiJEkGYC2M2Jnz54VKd8XEaNate1PFAiUrt69e8v3CbJUu8yLsV8CM3Md69evF2KmFvMRuBsi5rwK2pAUp7QoK1asKB9BiqZPny4EnHENRjPsTBhJmBlbOw+2b98+M3Xq1PsiYvghx6KQGDdunBKxaHavuyFizlNkfAeV8/Dhw55fo5hBsogZFJH4lm1NDh8+3DAexM8QNjvXda9EjJYmZI+8zbhG0aJFlYgF0Hf8JmIoAcyIQaQgZAQQ2o60elAdMG+tSXuNsHwGSj/++GO9QyOACx/Mh0J1ol2YJ0+eMMqCt2vyRsQYVEXu7969u3wF/0PNZfgVn3W3JikySKoQMapV2gfWSK4MXVN8dO7cWQIif5NYaVE++uijQsZIjhgKGa0r1DO14EDgXokYLSXmYvle/fr1w1wkc0MoDoxiWCXX3Zok8TJwjSJG25HBfmv4ju0auBUxbgwhEdNCxWjZQ/q5YYDk7u5UBAf6wX2W90rEuMmC1iDFnZvcM1fKzR7EHGbC3K1Jbg5AkYVEUQyQiyH8GIUlPmDN3ZrkPClqbfGJOGJjGOpYZMQuuFcp+s/ebyIGG+eOj6RJk8rV2FkJnMXeVh0RESNIIJ8zmKqmCNwNAlSN3MZtK8GIvuONiBFkIFfMhBH0kPZ5vAqtTgiam4gRFKlQIYDMX1B0WGO4lkqSFj1tBVqlu3btEgWNn51zYFSzBEvuHo7osQR3g4FuEzgE7pWI0aIkJtImIom5jWFr4l6pUqXkIzcRw98g9wz5M6htH4fBtviXnS1zEzG6C7ZFyrbEYIoM7rDDD52PDgocerH7SPdKxCBS3J2Lcuo2WswoYxSSrKWbiDFDiw/QEkfZYvQBYodB3JyxyE3E8DlUMWuIK5B6xig0N0e9D/tNxJinoe1ChU/gQVWgh81wPsZdGgQlEl+PHj0ksNBKYi6Mf5PErJEYcS41RcAbAgQKlCuCFaoCxt1ISPL8zN/4lp29Qg0gCfEdyButIAgQz8hh1gL/Y5aHxwBwZxNKAvsrX768KBZ2RozjEtwYwHa23O05UnwQPAlauXLlknkwiCI3EnD3EedFdcq/IWw8Z0wteBCAhEPWId3MFaIskfSIYZAulFJ8BN/BuNuNdYbY037mBib7vEQIFr+nhQihx0e5ew3/tTNiEC+GpiH9+KI3oyjAp+g8LFmyRJQM1FenaWsyen2MNeLGNZ4EQPHHoD2khnlBRiuIEdwchEpqB/MZaeAPPkUBgH9AkiBUs2bNkpt/iEHMnbK+zLeSay3J5pE8KKoo994MvyVe4ceMSvD4HyuiOLfX1mRgfcdvIoajkfiQ4nEWHIukZo0BQIKFNcgYwYlAhTrgNBKffWRAYGHQowUDAnZ2xv3AVQIXlSCEi2KAu9IwhqIJVBhzOFSB9gGGSPz4IAoC29MGooVIcmNfbmP4me97C1psS6XK83lIotyNZJ/jQxFCVUyxwryQzoUFg6eFPUcUCJIqZmMUJIoZRZIqjy4hAUKeMG5ccrYTKTbtwDyEiRkfjDssUa1oKbqNO+wg996eW4f/83gKigwMYo/aSmJ3GncDM7OobfDo8Tn7+BxGdVAyIdt0iRjHgSxBvHniAM8wtDGHtbKzgzwfjhgGkSeu2e25GtRQyJ03Q4Vl3tqbIYxQhHJOGDcV4dPu1iNqfrZs2bwWntGDZmgf1W8iFtrw6NUpAoqAIqAIKAKKgCIQdQgoEYs6bHXPioAioAgoAoqAIqAIRIiAEjF1EEVAEVAEFAFFQBFQBKIJASVi0QS8HlYRUAQUAUVAEVAEFAElYuoDioAioAgoAoqAIqAIRBMCSsSiCXg9rCKgCCgCioAioAgoAkrE1AcUAUVAEVAEFAFFQBGIJgSUiEUT8HpYRUARUAQUAUVAEVAElIipDygCioAioAgoAoqAIhBNCCgRiybg9bCKgCKgCCgCioAioAgoEVMfUAQUAUVAEVAEFAFFIJoQUCIWTcDrYRUBRUARUAQUAUVAEfCbiPHy20GDBpnDhw/Ly0rbt28vL1ouWLCgB11eTrp48WLTuXNnz0uX+XDDhg3y8lOMlyS///77uiKKQKQI8PJbjBfo9uvXL9wLa5074EXb//vf/+RXvNz7nXfeMXHixJGfebHt0aNHzZgxY+TnXbt2maFDh5p//vkn3DnkypVLfJSX93ozfHnKlCnmzz//NLzYeeDAgZ7NeCG0fQk0LwTv1q1bpNeoG8QcBOrXr2+uXbtmMmXKZFq2bGmefPLJcCd34cIFM2rUKHPq1CnPZxkzZpTtEydObPbu3Su+9fvvv8v38ZWDBw+a4cOHm9u3b4fbHy+pb9q0qUmRIoVPIHjx85YtWzz+azd0xtUOHTqYnDlzxhwwY9GZrF692syYMcP89ddf8sLvkiVLer36L774QrZzWvXq1eWF3Bh+gH9h5FBexj1x4kTPi+TdO/3ss88kzkVkDRs2NO+9954pXbq0Z7Mff/xRfJSXjT///POmR48e8gJ7tahHwG8iRpC6c+eOGTlypDly5Igh8bVo0cK0bt1azp6AgyOlSZPGrF271jz33HPy+02bNklwql27tvx+/PjxZs6cOSZlypRRf9V6hKBFIE+ePIYAR/KqVq2aSZYsmVm0aJHPAHfgwAFDYMISJkxoHn30UUPx0LVrVyFi+ON3330nnxMw+YwiggRavHhx+T2/+/LLL02+fPmEZLmN7zdv3tw0adLE5MiRw/Ts2VMCGb/D0qdPL8Ts7bffFn/Pnz+/57OgXYhYcuIkKtbzkUceMa1atTJFixY1JDG3EcuuX79uIOzYjh07zIkTJ2Tbv//+WxJx5cqVJfnhC//995/s99dffzX4NNvhzxjbb9682WTIkEGSrtsoLCBwJOWkSZOac+fOeTbZuHGjWbdunWnbtq2ZOnWqmTt3rqEQUAssAvv37zcQrHr16gnhbteunawF5Nxt5EfikTX8pE+fPkKge/XqZRAy5s2bJ+sIUWK/+MC4cePkswkTJpiHH35Yvv7tt9+a3bt3Sw72Zvgk8e3mzZtyTPwE42fIIL5IvMLvIYK+9hNYNEP/aH4TMSp8SFfVqlVFmSBh4TAkMmsElf79+5vJkyd7iBgLD9vGgWDgOB6BhQSmpgh4Q+D06dMmfvz4JlWqVPIxKit+99tvv4XbnN+VKFFC/O6ll14ySZIkCbcNCsaIESPMyZMnw3xGAOzUqZOnWoT0JUiQQJKxNyPoorahrGXNmlX+vnHjhuzj0KFDEtAgi5A0gh//T5yBV1c75iJw+fJlkzx5cjnBwYMHm3jx4gnhdhrECTXhhRdekF+TJKdNmyZKWLly5czVq1dF7cfXIOMkZIgahQBGcibh1alTR36+deuW+BtFQ0SGIkbcpNiwduXKFSlOMNQ5yB2JWS2wCKCM8ydRokRyYAQKSA8xwGnENJR9q9L/8MMPpnz58ubrr7+WzSBEqVOnFt87e/asFJVLly4V30C8gHjPnj1b/PKPP/4Q33v88ccjvVjiJrnbEjGKUKvW8mUElPPnz2ucihTJB7OB30SMNhH/4WH1lSpVkiRD8oFZW/NGxOxnBLH169dLO4hqkUSrpgjcDQILFy6UILRkyZJwm6POkqioEAlaDRo0MG+++WaY7e6WiBHwSKRp06b1elq0rfB/igoC7UMPPWTKlCnjKTr4N4EO/yZh0y4iSasFDwJnzpwRVaJu3brmmWeeifDEUVBRrGhFkexIcBSmly5dEiJGrIOgWX9yEzEIG/6GIhaReSNidnvOAWWM4oGCRC36EEBpomvUqFGjSE+CbREpiCfYypUrRU2F/EPOKfQKFy4sedZNxCBvEPFixYpFOK7Bft1EzE0Oyckchxa5WtQj4DcRg9FTlVHxk+iKFClimjVrFubMfRGxn376ydSqVcsQ5JBL6Ulrgor6RQ+VIxCsIFjeEhbJD2JEAISsoUD07t1bqk9rvogYChotH9sm//nnn2UmwxcRY3/79u0zzHUwc8bcIy17a5BBlAmUYlQ851xGqKxFKF8H/oOvoLIygkFrOSI7fvy4tIuYC7SFJaorsQ4/ZK7RKhHsB39DObGKGq3u+fPn3zcRg4ShqtCyhNDRzlILPAK0ASHkM2fOFOJDfouIxNOmRvHCb6yqyVnje/ye0QiUVvwFg4gNGDBAyD7EDOW1SpUqEnv4OSLzRcSIkcuWLTP//vuv5HWKR7WoR8BvIsYpIomSgKgAkdWZjaG3bc0XEWOxaftA4kiozIgRQNQUgcgQQJJHTYX4W1nf13dIoLS9me9xBhZfRAxVi1aRnREjcRLcfBExKlj2hdpB+4CWJO3JDz/8UE6J+ZACBQoYEjRzQfi782aWyK5VP49eBCD1qP4kQxQHiHVENmTIECFVKKEYLSrakPyO1hG+RIK2M2Hc5ET8sz/jPxzrfhUx5s+Iw9xENWzYMFHyrC9GL5Kx6+isNeSK/+8oWsQRRhh82Z49e6TV2KZNG1HVMYg7/gThQklnbcmTFJkQsTVr1nhmxMizKO8VKlS4byIGiSeuQu5y584tcSyiG0Zi14pG3dX6TcRQJehf22FBqi8cb/r06R71IaLWJJdGomSoESKHE6kpAhEhYAdSSS5PP/10pGARvBiQZvarUKFCnu3vtjVJcGR2kSqVO4IJlNYIlAzj0k4i2XJXJftFIeN3/E1hwjA3RlXM3ZnccKAWXAhwN2KXLl3Mzp07fZ44SYy2I0TLKlzM2tSoUcPMmjVLkhrEiBYUCZUOgLs1SUsRf2M2jbvRnTNpn3/+uUcRiag1aU+QZMo5KxGLXl+jGENhd88X2rMiRuETjFEwT0ZxSQv7gw8+kCcRvPvuu9I5Ij8yv5UlS5ZwrUlmrVHF8Dv2R/yxcea1114TZc5aRK1JtmHulaKRmKZELOp9x28ihkPgKMyKMY+watUqSUQ4Fe0dLDIiRpXJLf08HsDbXUJRD4MeIVgQoMXDHbe0XLiDEUWV9nhEt+iTCJH0CT5OVetuiRiKL60iiJg3BY5HCECwaEm+8sorclcTSZsbBeydwfy/oKXA/wvmPtifWnAhwF2IKGO0bHzZ9u3b5aYktrVGiwq1i6QGMYKIo3KwHS1JNxEjAS9fvlw6Dahqvm4SiYyI4fcoa6hilhQGF+Khc7YIDRAsZyHovDoUTOIHxMvmQJRYiBc5lpYhNwDRemQ9UUvdM2Lsj8dcQLwhUfYJBd5QjIyIMULBrDdF52OPPRY6CxFDr8RvIsYgIbdsb9u2TSRNSBVzFDYxoiAwqEoAy549u7By+uR2yJqgQ4JjboZnn0R2p1AMxVFPKwAIkOTwJRRUOyeB9E8bHFIG8eERFZB6O8jPaeFvDMpSFSL546eoESRDqkzUClqXEDp+hwLGLdx2Rgy5n5kLZjfYh9uYISNQMgNGYkUVYwaIfXCutIggX+wPlQOFjM/UYjYCDNfjFzyWAsubN68kQu7apQCAWNHKcRKzmjVrSuvRebMS/oNfQcZRcCFWHTt2lDkc42JPGgAAIABJREFUkipJD3/mET8YMZF2Jq0oWtpu43s88oc7bylMGM6mdcV58UgDPsMgX3ymcz6B9zOUKOYEraGE4ROQGkYUiBfMDNoRBUZ7iFl0mJxz0ijq+Bzta9adrhE+NmnSJGkbMmdNrrUzYfzM8+7wA2/GGAX+iapLrCJ2clc3dwdzThcvXpSv4TP4jhL4wPiO30SMqo3kRsJBDsUh7C27XAJJj2Rpjc/Yhu/xB6OtiYNGNmAYGEj0KDEVAbcvOX2Kf+NnSPrcvu32L/ct3VSbJDsM/4XAkQCdvurEITIftbd/83+AW8nZnzXneZOEtcKMqR4W9rxIfBAt/sZYN6tOsc425jl9i+29xTJ8wG6Pv/HoHjtDxL7cxjbsx84KuT/Hd/FhzPo82zr9Gj9kH5HNUAbHagTXWTrXhzN3kiu77s5H4hB78BGECPd6ccMRn/N74gqxyLnObmS4QcTX0wfwZfZnfc4+JiUiXw8u5IPzbP0mYsF52XrWioAioAgoAoqAIqAIRD8CSsSifw30DBQBRUARUAQUAUUgliKgRCyWLrxetiKgCCgCioAioAhEPwJKxKJ/DfQMFAFFQBFQBBQBRSCWIqBELJYuvF62IqAIKAKKgCKgCEQ/AkrEon8N9AwUAUVAEVAEFAFFIJYioEQsli68XrYioAgoAoqAIqAIRD8CSsSifw30DBQBRUARUAQUAUUgliKgRCyWLrxetiKgCCgCioAioAhEPwJKxKJ/DfQMFAFFQBFQBBQBRSCWIqBELJYuvF62IqAIKAKKgCKgCEQ/AkrEon8N9AwUAUVAEVAEFAFFIJYi4DcRO3TokGnbtq28BT59+vSmXr165uTJk6Zu3boC6bVr18z48ePNvHnzzNq1a81zzz0XBmpeNrp+/Xr5vF+/fiZZsmSxdCn0su8WAV54u3PnTtO3b19z69Yt06tXL1O0aNFwX79586bJmTOnefrpp+Wzrl27muLFi5srV66YgQMHmq1bt5obN26IrzZq1Mjs2bPHdOrUyeDTKVKkMEmSJJHv8cLdLFmyyHFSpUoV7ji8YHzkyJFm7ty58pJmXgI9Z84c2Yc1Xug7adIks3z5crNq1aq7vVTdLpoRIJZ9/PHH4gOs7ZAhQ8zbb78d7qzww+HDh5vVq1fLi+OrVq1qmjVrJi9x5gXLly5dEv/btGmT+e677+T7X331lenSpYv4YfLkyU3SpEnl92yfOnVqiYevvPJKuGPx+eXLl0337t0ldtr9seHt27fNzJkzzfTp0yX2tm/f3nz66afRjGLsOzw+gD8sWbLE8ALw7Nmzi+/YWORE5MiRI6Z58+bm6tWrJmXKlGbGjBnmmWeekU2IdceOHTOlS5c2TZo0Ma1atZLfDxgwwIwZM8b8/PPP5sUXX/S8KJztW7RoYWrVquUVdD4/fvy4KVWqlMQ8cjfGi8j37t0r+z137pz8TDzLkCFD7Fu8aLhiv4nYBx98YPLlyycJ7MKFC6Zly5YmR44cngUmYeKQLO7ChQvDETG+U79+ffPXX39JAFEiFg1eEGSHHDx4sNmyZYtp2LChELA4ceJ4vQKSXP78+U3hwoXDfL5hwwbz5JNPmty5c5uDBw+aGjVqmG7dupmPPvpItoO84c8EP4xA+u233woJ8xVISboEWggbCfS3334zPXr08ByXBNyhQweTKFEis27duiBDPHaeLuRq3Lhxpl27duIDgwYNEoJ99OjRcIDgR9evXzcFChQwBw4cEILF9q+++qqQONafOAix44/TMmbMKMmzTp068mu2x98SJ04cLl7yOcXr5s2bZX9s59zfN998IyStRIkSZs2aNUIG2UYtsAh8/fXXUiS+9957UuyxHhUrVjRNmzYNdyIdO3aUfMm6UhQWKlRIciLGWg4dOlQIfvXq1T1EjM8QODZu3Ghmz55t4sWLJ9tTZLLe+KE34/Nhw4aZlStXSoFhididO3fMjh07TLZs2aQogKQR65wxLLAIxq6j+U3EXn75ZQMZ69+/v0mQIIH5/vvvJdE4qzCCBp9Pnjw5XGChYsMIbhMnTlQiFrv8756vdvHixUJ0qAZz5crl8/sEo8qVK0uF2bp1a/POO+94tkW9teoDv4SIFStWzFSoUEG2cRMxiol06dL59E0qVo6FQgGZ69mzpxQjBF8MZYIETnDm2CRItZiPAKoGljBhQvkbPyCuHT58ONzJoyBgDz/8sKwx6heKLcTbGqo/v4O0Oc1NxLZv325eeOEFr+qr83sLFiwwffr0EeJnDXU2fvz48iPnScwl8aoFFgFIGH5jCRKFHvnREh/n2VC0PfbYY/IrCBjqmFsJrVKlisQUq4ixrZuInT9/XoqBrFmz+ixO7XFRbDNnzuw5H0ggPvzII4/IJiiq+BHkUS3qEfCbiPGfnESH9PrFF18Im2ZBrQNyCb6IGIuNs7L4tG2UiEX9ggf7EfCX8uXLm/3795szZ86IkoUK6zYUWJIiJOnDDz+UgMO23gxVDWKHxI+5iRhJFbKWNm1ar98niBEUqWxpQc6fP1+Uurhx48r2VKwovdu2bZN2lBKx4PRCiBTqE2pXRIYKC/F2t7HvloiRbFHHImsLeSNi9rx+/PFH6TBUqlRJSJ1a9CJAjCpZsqRPpYqzI/898cQTQn7cKv/dEDGUfsYxypYt64k9vq7aTcSc2y1dutScOHFCSB/teLWoR8BvIoaMTuJBpWDxkFVJSsw4WPNGxNiWhIRUu2LFCjNhwgQlYlG/3kF9BGYpkM6ZQ+zcubOoqChQzFQQfHwZhI1ASIspT548YTZbtGiRtBGrVavm+T2ECxJnZ8QoKmbNmuWTiFF4oD6g+tIaQgmDvPH906dPy5wIxQpEcPfu3UrEgtAL7czPJ5984rVdyCWxtpA0yBrzgRSazM1a80XEUFsh83YuiGTKLOH9EjHmhmjHX7x4UZRf4q/15SCEPuhP+ezZs2bUqFEyl+rLiB3EGOb9Ro8ebWrWrBlmU19EDBWeuWuIG/OBjRs3lraiLQLvlYjRIkeRJW4RL1HnnKJK0C9GDL0Av4kYVT7Dq8jxzFPQy06TJo0oDMw4YG4iRuIjkSLVMqvD8CBKQbly5SRhOuX8GIqbnlY0IGCJGGoXLUfsjTfeMG+++abMZ/kyiBKzDswyFilSxLMZAYcBfYKP09yKGIP4kCsIGkkW5dcaMzjMOTK3xjAts0Rt2rSRggRVo2DBgtK2xBis5twhZfg6vq8W8xFgfpWi8amnnjJ58+aNVCUgJhLHSGJ27bnKu1XESNiouBAxRj2YrbVGgrZt9YgUMbZHIWGuCBJQpkyZmA90CJ4hIxIUYpCjyPIa81sQeeYJT506dVdEzDkjtmvXLhmDIFYRh9gPHQGMwgAVzFpEihjbEMsoYBFIbKwNweWJMZfkNxFj0Wm92KTCwB9tIKpBKj3MTcQIbNyZhuNhJEMCHYtPwICgqSkCbgQYKCUZohbYuyTxP+a7GNz3ZbQLKRKYKSORYvv27ZP2JnNhtAOc5iZiDMzyB7+l3cT3rEHsCIbTpk2TSpbz4+5g2kKQM+Z37PwQ7SoCM79//fXXPXMhutIxGwHb8uGOWzvLE9EZc2cas2D4kb0BhO3vlohxhyWqFkmVopZYaY22p/XXyIgY30EZ48YT54xkzEY7dM6OogthghjlflqAr6tkvpq5P25GctrdtCZ/+eUXw4wghQBzh/ghLWoMUYRC1FpkRAyf42YQOl1WqQ2dlYl5V+I3EUMlIKkw40WAoP2CagA5s33uiIb1gURbkzHPMWLqGRGk8Bfu+qEdyF1JtI1oJfoy1Fbal9yazYwZrQKSIsGIAMldTVSPb731lsw4uokYn6OokVTffffdcIchaKFwMePB3UrMTXJO3CXpnPXQ1mRM9Srf50WBiHJKC4h5GdRP1pmffRkFJkrUlClTwiTguyViqBkQuZdeeimMiuE+XmREjGSOGsZ2kbWqgm9lYvYZ0yFCjOBGNkgRBGnZsmUyWuFsV7uvAtKGIPH+++/fMxHjC/hqgwYN5IaQiNY8MiKGfxMLGQPxdVd6zF6B4Do7v4nY2LFjTaZMmYSAkXyeffZZUSysEQycd4rYgX4nTDgP8i3DzigKaopARAhAqJjtwlBgIWEkP2YaeIYXrUQUKnwT4+4gCgVrtWvXNrQ5rXGzCAEHCZ7WgFWwnOfAzSi0031Vtvg17VECLqqFt3kQEjjHpdJUi/kI2JkvZm+cxlrzfLDevXuLcoUSir9ZH+O2f+ez4pj/or2IEorRomJbVFbiJkTfbZAwfNHbc8TYH/GS/wcYxQWkj6F8Zo24sxhjZISYqvNhgfc15zrYo1OsQbJQxW3rmvYz86nMWmMjRowIM8fKXZAUgKj6GDPVtLt5NIqzZe28Qu68dM+Y2c/ZH4/lgexjzJTxGAuUM0Y0UPEwfA8FWC0wCPhNxAJzmnoURUARUAQUAUVAEVAEQg8BJWKht6Z6RYqAIqAIKAKKgCIQJAgoEQuShdLTVAQUAUVAEVAEFIHQQ0CJWOitqV6RIqAIKAKKgCKgCAQJAkrEgmSh9DQVAUVAEVAEFAFFIPQQUCIWemuqV6QIKAKKgCKgCCgCQYKAErEgWSg9TUVAEVAEFAFFQBEIPQSUiIXemuoVKQKKgCKgCCgCikCQIKBELEgWSk9TEVAEFAFFQBFQBEIPASViobemekWKgCKgCCgCioAiECQIKBELkoXS01QEFAFFQBFQBBSB0ENAiVjoralekSKgCCgCioAioAgECQJ+EzFecswLaH/44QeTOnVqw4tNT548abJkyeKB4OjRo2bXrl2mYsWK5oknnggDzYoVK8zhw4fld3ny5DEFCxYMEuj0NKMLgVGjRpk7d+6Yl19+2ZQtW9bEiRMn3KnwElt8y/lCZV6kzPZx48aV7VeuXGnOnz9veEkuxst4ly1b5nkBr3OnHKto0aLyUnFvdvDgQbN+/Xp5OW/y5MnDvHT3119/lZdAnz59Wr76zjvvmLx580YXfHrce0TAGaN4AXPGjBm97uHmzZtm7ty5hvV+6623PGv833//mb1794p/YPhg+vTpzffff2+WL18u27uNl8t/+OGHEb6we/v27fISeeu/dh+8tH7NmjUaV+9xnR/k5sQn/s+fOXPGs9sUKVLImvJSeLfxovYTJ05IfGnUqJEnRrHdxIkTzU8//SRxhe8nTZrUrFu3TnzKm7HNa6+9FuHljBs3zmTLls288cYbYbbjHIiB+FCyZMnkeM8888yDhEb35QUBv4lYnz59zIEDB0zt2rXFWWbNmmXef/9907x5czkcQaxjx46S3NauXWsIMNauXbsmb5Jv3bq1/OqFF14wr7zyii6UIuATAfysePHi5rfffjMEk+7du5tChQqF237jxo3mypUrnqD35ZdfmsSJE5uWLVuav/76y0yaNMn079/fPProo+a7776T77P9oUOHTMOGDU2VKlXMm2++Kb///fffpdAoVaqU+KjbIH0dOnQwr7/+uoHsLViwwLz33numUqVKsumxY8fMiBEjTOnSpeVnSN2LL76oqxwECKxevdq0bdvWDBw40Fy8eNHMnj3bzJkzxzz77LNhzv727dumd+/eEt/wEWJdjRo1xCcoTKdOnSoEnN/v27fPLF26VGIiRegnn3xiypQpI0Qf4/ckRPzaWdDaA/I5PtalSxch/vim0ziXOnXqyB+Nq9HjZBAwfId4gJ09e1ZIM7kQguO0MWPGiB8QX/APCD3+gg0ePFjWt0SJEmbbtm3m33//NT179hSfIv6Re/HPhx56yHMcxJEmTZp4vXDO47PPPjNbt2417du3l+867dNPP5X4SlxENMmcOXM48SR6EA3to/pNxLJnzy7JsGTJkobKjwrv+PHjngUmaGzYsMEMGTLETJkyJQwR69Wrl3n11VelQlRTBO4GAQIQRAYjkCRJkiRcMKEapSggIaKW/fnnn+J/+fLlM/nz55fvUvGhrBEE2afTcubMaTp16uQhTnxGAGRf3tQ3KtMWLVqYyZMnS+CF5KGuDRo0SHbL31SfhQsXvptL1G1iEAKQGUg/5Iv4liFDBik2c+fOHeYsIfqoGpAjCD++BXHr1q2buXr1qsS9hx9+WEgWJG7nzp2eohOFDf+xxCkyf+Nz9jNv3jwhiCRjp5G88X2Nq9HnSBCrTJkyeZQt8uKpU6dknZ12+fJlWSs6RuRS1jVhwoSipqGgURDu2LHDPPbYY+bcuXOmQoUKZtq0aeKH48ePNxScFAfx4sWT3eKjxCpLzNwI8DmFKEUCMclJxL755hvJ1ZzjI488En3gxcIj+03EUA1wgn79+hkSGEkPtg2rtrZ582ZRH0hUVhHDAVEeCFYkVgIWDunLgWLh2uglR4AA/oPPkXQi8xm2nT59uiQmW6Gya5IlSlVkRGzmzJnSakqbNq3XM6K9iarB/4VixYoZ/L18+fLSfoIUFilSRFqktJBo3adKlUrXNkgQoE1DYiJhQfpJhu5kCqkfPny4kP+uXbua+PHjG4gZCRKVzLZ22A5VA//o0aOHBwE3EaNgxZdIthEZqpjtSNjtaHOixuJ3xGB8zpuKGyTwh8xpUghmzZo1nHqPSgYBo3BLly6dXC/qF+vPmA4KPspaokSJ5DNUU2IIpN1NxBiPuHTpknSk7PiFLwCrVq0qapclYhDAGTNmSBsUNZbWJ3nZHjdkFiKGXojfRIzKjioQh6pZs6bMRaCOOc0bEbt+/bosMuwcqZX2EAqZtiZjqKfEoNNi/mXs2LFSOfbt29ekSZMmwrOj2tyyZYtp1qyZSZAggWdbX0SMBJgrVy7PLND+/fvNgAEDfBIxdoiP0zZl7gfSV716dTkOifv55583zElSiBBwaTu42xMxCF49FRcCrFetWrVE4XCPV7ApMQxCREHapk0b+Rsihm+S2JidxQ9QsEietI2aNm3qOQqEnZkefA5D5Rg9evR9ETEK25QpU8rxaF2hzPC3cyREFziwCNy6dUvWG7KOWuo0xiEgRA0aNJDOEoafUTRWq1ZN5qpRr/CZn3/+WXIrRKxx48biS/yhrQ3xYgYVAoev3isRw4ch8RQbFBDMz+KPnJczZgYWudhzNL+JGFIn/+lJRMx6UQ3S1qHXbM0bEXNCTE+bypGAhPOpKQIRIUDrG7me5EcCQ7WIyGg/kgwZPHWaLyJGYCQQ2hmxhQsXShvUlyKG+kDrioBFMKSCHTp0qKhoTiPQUawQXLVtFBw+zhwrqhLEGj9imHrRokVhTv5uiBhzP5AiyDg3N6Fm2ZkwiD9Kqv2ZbUjK96OIOU+M2cZWrVrJnBqKrVr0IIDShCJOIejNiGWoYKwTRnuQmEO8YpYQ0oWaRp5E9aIY4MY2SNj8+fMl79IVYPYQEo7ada9EzH1eFJ8UlMx6R1boRg+qoXVUv4kYahgyO4QM6b1z584y/0Af2w4kR0bEgJREhqPB5tUUgcgQwN9QGGgFuVuL7u/WrVtXhmTdLZq7bU2SeHPkyCFEjDkgbjCxhrKLlE+LdOTIkVJRQhApToYNGyazHU7jd2yjiTGyFY4Zn9erV08G5kmGtLgh5ygbTlJPWwdf4qYNCBSEHEXh888/F79w3iXHtnwXFcPOhLlbkyRXEi9EjKTr7DAwj2jviPPWmnSjhppHoeBreDtmoBzaZwHJQmhgTX0ZZB6DgDGmg3IOmSLOcUMGhj/hD8ygMsPlbk1yUxCKKC1NVDhIFDESY6aRu2ytuVuT7vPC1yGQFIy2ZRraqxS9V+c3EWMujCAEm4eVM/DXrl07YdNWDo+MiP3yyy/iVNwlxAChmiJwNwgwNE0LiPaPL8Mf+Rz/ctvdEjH7OAACI6qFu9okONrBf5Q3/J1zQxVzzlhA2mi/Mxtpbzi4m+vUbaIPAQgT4xJ2pgsSTnJyknHObs+e/9femYDbVH//f5WKNCPNhiRUVIqQECpDmYVMFSJDoRCZM4cMZS5zCEmIjJXKXJJSGSqhKCpp4Nvwf17r93zOf99997mDc517z7HW83hwzz57eO9113qv91qfvTfqYiS3Ko57z9A082SsQHNGrKMw4BEFTjH1EzG+h0rCvA8kjC5DkCVHxFg9CfGnlUW7yyz6CFCkQbiZDUzKWBCCkk4bmXlqCj+vQdCIY4zxOOUsaFife04hiI9552H9x06OiBE3If34uc2JnXq/iZiIwfYhY26VxYYNG7S9yLAyhiMyX4MjsnyfZf4XXXSRzsww64MKxko0EhP7sn70qb/psXoE2kRUgyQqjIUhtPpQqpifQLkiaXmTJC0lVA1vmxBixYISkiXzYwQu2oVUkwsXLlRli0cNuOdF0eJhxRODrf4AyXkw50F7gJk1BvE5T3y9bNmymqDd86NYNUdSZ5m6WWwgwLwWKj/+QJwi0UGmiXeoXvgGPkbbmdblvn379DlPGHEQFZZiwakRFKuoHLS6mSfE3/A//JM4iqGaER/pDrDQw298nzYUq3HZN2SPOSKOS+uKRwZhHAs1w8Xi2EA8vs4SJQwFk+fPOcNHUD1ZVEHXiCKO1jWrayFtqK74Gos/aE0SX4gjkHcG8TGKP+Zkma1mJaUrDnnUBWoY6lmQUQjgp3SgmFNFfeNZYvgv/uyedcijKxBGjMBHxx8jJmLcOIgVw/okOBLhXXfdFTp7nIvg4IzP2AbpE/kV2ZUBRm64v40THQjsKLGCAEFk/fr1msgwSJFr+0DoeQYYZMdLlmiTk+C8qgREjgDmnr/E3A9KLGQOP3ZEz4sL7UR8NFyhQFuKosM9nsC1IWhR8nOM+Q0e15Lc/Eas3I/T5TwhRZB0DF/Kli2bDujTCiJ+uUdZ4D88SoI4COF2HQF8zT3Yk1jntkchxd9cW8qLJ4kQf/M/AJtt8H/8jVlJDJ9HJaEQ4Dw5X4zVmhQT9iiC9PNU7i9ky5vbIEr4CTPRxC9ECu4h/ydGOIMcMVdIaxkyx+MsnJE7Wa0dZChh4eZZ8TWKAuIUhgDCDBh+jN9A/jD/8dIPwdPjyBETsdMDJrtKQ8AQMAQMAUPAEDAE0h4BI2Jpj6nt0RAwBAwBQ8AQMAQMgRQhYEQsRTDZRoaAIWAIGAKGgCFgCKQ9AkbE0h5T26MhYAgYAoaAIWAIGAIpQsCIWIpgso0MAUPAEDAEDAFDwBBIewSMiKU9prZHQ8AQMAQMAUPAEDAEUoSAEbEUwWQbGQKGgCFgCBgChoAhkPYIGBFLe0xtj4aAIWAIGAKGgCFgCKQIASNiKYLJNjIEDAFDwBAwBAwBQyDtETAilvaY2h4NAUPAEDAEDAFDwBBIEQJGxFIEk21kCBgChoAhYAgYAoZA2iNgRCztMbU9GgKGgCFgCBgChoAhkCIEIiZivDW+Xr16smrVKn3ZN2+L58/DDz8cOgHe9D5w4EBZtmxZ6EW43rNbvHixNG7cWF8e7l7EnKKzt41OSwQyZcqk180LmHmpNy/MTcrGjx8vrVu3lkcffVTGjh0rf/75p3Tp0kX4OTZ16lRp1KiRzJs3T//mBbh+u//++/W73pfyerd5+eWXpX379vLHH3/IgAEDdP/Odu3aJdWqVdOXfy9dulTuvffe0/K+xepF85LmBx98UO6++255+umn5eyzzw57Kbxk273kvW/fvtK5c2fddtCgQdK7d2/996hRo6RNmzayYsUKadKkiRw6dCjR/u644w6ZNm2a8ALncPbcc8/J9OnT5auvvgrcZPXq1eqzc+fOjVXoY/68udcdO3aUvXv3ho0dXCRxjPzpjBd6E2t4ETdxjphUrlw5Ic7kyZNH2rVrJ2PGjAnEZ8qUKZpPkzJeMN6sWbMEccq7fc+ePeWaa66RFi1axPw9iIULiJiI1a5dW9/ePnz4cA1ADz30kAYtl4ggZb169dJk+eabbyYgYkeOHJHBgwfLli1bpF+/flKiRIlYwMzOMZ0Q+P3336Vp06ZKmI4dO6aB5Ouvv5aNGzcGnhGkvmHDhhq4SIr58uXT7Sgajh8/LlWqVJE1a9bI448/LiNGjJBKlSrp5wS+7t27S82aNfX/kKv169dLwYIFA4Ppu+++KxMmTJAhQ4aof0PaatSoocSP8+T3oWvXrlK4cGH18ZEjR0rlypXTCUU7bGoRIEHu2bNHyVOnTp3CEjEKTkg+fum1DRs2yM6dO5Xk40d16tSR559/Xho0aKCbQd5I1s2bN9f///3337rdZZddJvnz5090uv/884+44vavv/7Sc/MbPyNZ//bbb/Lee++l9pJt+zRAACI9bNgw2bZtm+zfvz9JIka+JFYVKVIkdGQI+owZM+SJJ54QYt+zzz4rv/76q0yePFnzKYUksWzmzJkhnyQe4m/169cPGxMhVzt27FD/8BaM7gvEMkg+ZMyIWBo4Qgp2ETERIznhQFR+mTNnlk8//VRITG3btg0dnmQH4YLNk6hccsMJDhw4oEkQ9m1mCCSFAIEJNeKSSy7RzZYsWaLK648//pjoa/v27dNAc/XVV8vo0aMTfL579+4QKeMDEiKKlUuMfiJG0Lriiivk4osvDjw9AhYG2XPnhVJBxbpgwQItQBYuXKifTZo0SRYtWhT6v93xjI8A5Ir4hg+EI2I//fSTEqlcuXKpGlGsWLHQhX3xxRdK4p3hZxDyJ598Un/kJ2KoIJCwHDlyJAnOa6+9purr1q1bE2yHeoIqQgeCBM7fZumDALmvYsWK4hSuoLNYt26dEifID3HIxRni2rnnnivnn3++fo0YMnv2bFVKiYN+IoYPHj16VPLmzStnnHFGkhdMUUBh6Cdimzdv1qISBQ+RxYhYdPwmYiLGjXzllVdUXUAVo72IAxG0nAURMVo0yPIkL6Rzvkfi8n4vOhDYUWIVAfyOahMi7zdaMihnJDkS2y233KLJ9PLLL0+0bfXq1aV///5y00036Wd+IkYRgapFgAsyWpL//vuvKmJZsmRRhZeETeFBFUsbwLWlCLohLwOsAAAgAElEQVQoZbSNzNdjw/NSQsQoKPEzlCjiIImuR48egRdIiwmfov0YRMTwFRKzl7wF7SgcEVu+fLnGYBIzcdaIWPr5WUqIGPeI+AHJokhEwQwat4Bcc087dOggjGf4iRjfO3z4sBDPzjzzzFQTMcgXRSOjRhQTRsSi5zcREzFkdPrgTz31lLJw1DHUAK8FETFaPzhe3bp1pVu3btKyZUtBxTAZPXo3P9aPRJsShck/s0NVCBFCeUK2hwihVtx6661adboZM66f2Yz3338/NMvDz1BnaSU4IyGivoUjYlSqkLE5c+ZI8eLFlYChhBEoUYb5Ga1JDCLGeZMcr7322li/BafF+aeEiHmBYOSCEQ1aShSoXvvoo4/UTyBizvCrb7/9NvR/ilL85GSJGDGV4nbcuHE6r2tELP3cNCVEzJ3df//9p4Xbxx9/rATaa7SYaUfTJqe4xIgvtLTxT2e0vCFqJ0PE5s+frx0ECgTGNIyIRc9vIiZi9KQJJJAokhGBpkKFCkrOkFWxcESMKgBpHUMhQLJn3oeZMzNDIBwCzHcRqFCUIDl+Gd4RsVKlSqnqyucQNuYtUAvOOecc3TW+y7yWX1FLShFDafj8889Dp1a6dGk5ceKEBkWSHrZ9+3ZVvVB7H3nkEU2ozElitO1btWplilgMuXdqiRhxjfYOxr12BrmHHFEMeM3fmsRXiIX4DaSOcQ9nt99+u5x33nn6X78iRksSf3fHRN2gyGBOqWjRopI1a9YYQj0+TjU1RIwrRtEirhFTvLZy5UqdVaV16cyviBFb8BcUMeYIWSTkFoJccMEF6gPO/K1J2tsUrcy3YnQPypQpo8UE5Cy5Vmd83K30u4qIiRiV38SJE0PBgWQ0dOhQXYnmhqODiBgJkCDhVvRs2rRJgwhDqlSEZoZAOATWrl2rrRdWH7r5Ce+2EDXmtkhYKK9Uh6gQkDd8FQWNFsBbb72lCc8/ixM0I0Zy5XskO1qezlC6HLHjZ2+//baukKPNXqhQoUQzYZA+fh/czJjd5YyPwMkQMeIaPuPmDr///ntt+9xzzz2JlNCgGTFUW76PeVc9srAkZ86cgUSMRE27nmSOEVOZT2PxAIrwpZdemvHBjrMzTC0RY3EP84XMpTojbtH6Jtc6cYPPws2I/fDDD0rmUNYciWcFpnfey0/EWGhHh8oZXS38ktGjkiVLJquwxdlti/rlREzEaPuwuowqjorrpZde0kTDjUxKEWPJNeybuRpWmPXp00dYAcRjLswMgXAI4FsEF9p7EHYSHO1s5hq8RvDCJ0liDL9CyFCvmPUiUCHDM0SL6oCCxpDqzTffLNmzZ080I8bnFA4EJNTecNUhLXb8nmIEMofxXY7JZ8ygMaTNrAdqnVlsIJBaIgYRIoHhf7S5IUi0q7nntMcZ56AILVCggC5e8hMxyD7KGb6IX3tb6V7Ews2IuW2sNZn+/pVaIsYCDgrMqlWr6skz4nDw4EGdOaToRLlC9SpfvnzgqslPPvlEW5OQ/qAi1SESbljffW6tyej6TsREjJ427SHULJIOMiYrRJzhSLVq1Qr9n0cKuNYj27HKCKNiY8gVCdXMEAhCAFWLqtApBW4bWj5I8cw0QLpoP2KQMLYn8aFcuTY4ZIgl3s4YsKcQYGaL7YOeI1a2bFlNpk7l9Z4f++X3gBWcVKlehYztGOLm+yRoAqV3ibrd6YyPAI8/cTNczB5SPKLIErNIiii0s2bNUt/BWBBCgeCMpElCdgax4rl2DzzwgCbYoOeIsaKNrgLEzW/4On7G4zSwCy+8UDsJKLBeMyKWvr6FKIG/QOTxIVY7MuP1wQcf6L0n3xEziBcu5qCou+cMolCx8psBfWcoXYxUMJPN/oOMR0ERj4KMIpQ45+bKmFVkX36yb0Qsur4TMRGL7una0QwBQ8AQMAQMAUPAEIgfBIyIxc+9tCsxBAwBQ8AQMAQMgRhDwIhYjN0wO11DwBAwBAwBQ8AQiB8EjIjFz720KzEEDAFDwBAwBAyBGEPAiFiM3TA7XUPAEDAEDAFDwBCIHwSMiMXPvbQrMQQMAUPAEDAEDIEYQ8CIWIzdMDtdQ8AQMAQMAUPAEIgfBIyIxc+9tCsxBAwBQ8AQMAQMgRhDwIhYjN0wO11DwBAwBAwBQ8AQiB8EjIjFz720KzEEDAFDwBAwBAyBGEPAiFiM3TA7XUPAEDAEDAFDwBCIHwSMiMXPvbQrMQQMAUPAEDAEDIEYQyBiIsYLlT/99FN9+S0vXL755pv1hbi8nNQZLxrlZd+8wDZz5sz6Y15yumnTptDLR922FSpUiDEI7XSjjQAvrOVF2rxgnhcsh7OtW7fqi7bPOussuf7660M++fvvv8u2bdvkjz/+CH310ksvlUsuuUR27dqV6KXibJQjRw4pWLBgyH/9xzxw4IB89dVX+vJxXsJcrFixRKfF7wXb8TtiFjsIuBiHf+TOnVvOOOOMwJPfs2ePvhycz/G3K6+8MtF23P8dO3aorxEj8bcTJ04k2u6iiy6SG264QbJmzRoWKF7+zMvFS5UqFbjNzz//LPv27RNeIG6WPgh89913snPnTrnzzjvDxg7O7P3335fjx49rnClSpEjIx3bv3q0+9d9//4Uu4MYbb5Rff/1V722Q4Tfe/Bu0zYcffihXXXWV+nOQ4cvkarYxO/UIREzEZsyYIfPnz5fbbrtN3+B+9OhRvXlt27bVs9+4caMMHDhQnZE3y7sbu379enn33XdDb53fv3+/Ejoc0swQSAqBNm3ayBtvvKF+1bhx48DEiN+tWrVKiRHB7N9//9XtSY58tmTJEjn77LP1MAQ0km3Lli1l5cqV8uKLL0q5cuWkUKFC+jmJkkDYokULyZUrV6JTg+z169dP93HZZZcpycP/y5QpE9qW34s+ffoogVy2bJnd4BhCoFOnThrjmjdvLvzb+Y33Er788ktZsGCB+gD+du6556pPZMuWLbTZm2++KRMnTlRCDxkn4eKj+CWJmhiK4avHjh2Tpk2bCknXb3z+3nvvSa9evWTv3r0CIfMbRcaoUaNkzZo1GnfNoo/AO++8o/d2xYoVGmOCiDlnNXLkSPntt980dyJODB8+XEULyNbMmTNV5HA2depUee211+TgwYMyduxYgTDVrVtXzjzzTN3k0KFDGrcef/zxwAvmc7730ksvyVNPPSVdunRJtB3k8ZFHHpF69eppzDM79QhETMSoxh577DF5+OGHNXhMmDBByZW7wVRsc+fO1SAFaXNE7OOPP5b8+fPL+eefr1c5efJkVS5IrGaGQFIILF68WF544QVNVEFEjCS0ZcsWKVCggOTMmVO++OILadWqlfTs2VPKly+vn5EMzzvvPD3Mq6++qoTN+R4JsXv37lKzZk39nM9QF/DVLFmyJDo1lLcOHTpogGO/EDkC76BBg0LbTp8+XRMjidkSY2z5N2RpzJgxSpTCETEKSZTafPnyqYLRuXNn6dGjR0iNWr16tfrU008/LVWrVk2gjqBgdOzYUYkeBukn+aJIuPjoRYzP8S9iJkl5+/btiQDleJwDyhtEwCz6CEBoyHvt27dPkogRz+69916978QR8iJ/831ij1Nh6SoR94YOHarFwPjx45XIQ9ZccUDsI1aFU7L4nHjVt29fufvuuwOJWMmSJZXYkdONiEXHbyImYtdee60GG5g6rclffvlFFi5cqEnSGVXZ4MGD5eWXXw7rICRKnI/kaWYIJIUALb527dpJlSpVwipi3u//9NNPSsIaNGggd911V6Jdk7AaNWqkCgXmJ2KoIUWLFpW8efMGnhZqb/Xq1TXgErxIwBzrlltu0e1RLfidYDval6aIxZZ/Q7DwEdo94YiY94pQK4h3KBsYifGBBx7QYqB+/fr6M7oHrsXpJ2Jz5sxRxQxSn5RBwgYMGKCJ1WsUxKNHj1ZiiPpr/pZ+/kbuq1ixopKqcIqYOzuUzmbNmqmYEaS6ch9RPxE+8B8/EaPlTUFAsekUsnBXTrwjb3sVMYggxST+SBFZu3ZtI2JRcp2IiRgtIm4m7RtuHlL6TTfdlOD0kyNiyPqvv/66Olj27NmjdOl2mFhFILVEDPKDGtu6detEM2UkTao+2kbOCFB16tTRdhGGovvMM8+EJWJsw+8BiZb9sT3fd4ZCVrp0ad2GlrwlxtjyvJQSMVrUtJ6JYyho3PNzzjlHfW/IkCHabnKzhPhE5cqVtQsA4UIl4//YpEmTpHfv3idNxEaMGKEziox64HPmb+nnbyklYqj2kCBmAynovC1tzp4u07BhwwS1qmzZsnpBEDFIO/kXYobST7EAyToZIsb3UVcbNmwo999/vxGxKLpNxEQMFr9582aZPXu2Kl558uTRvjhqhbOkiBjfJ1hQNaKiEZjMDIGkEEgtEcM3md1Civdbt27dNGm5NiSfkxhRxagMMRQHEmk4RYxETbL7/PPPNREz7+GKEtoGDODed999mlyNiMWeb6eUiDGvA6FnNgh1gtYhoxvMcjEPy1wOhSpqGe0o2tXESwb7KV7djBhtRbY9GUWM4zOnVqtWLRk3bpwRsXR2t5QSMeIHfyBWzHwxxuA12t3EEsYnrrnmmhARg4wRuyBeLPygeHz00UdTTcQoIpYuXapqGspdpUqVjIhF0XciJmLIqFSAf/31l7JpKj1UAao616dOioixUoRtCTq2YjKKdz6GD5UaIgYJY9aG1lAQyXcr19y8GLD4W5MkTNQNiBi+TOvRGfM3DGdTrfbv31+PBeFiloxWe/HixTXZYrQoIWmQMtpWybUqYvgWxdWpp5SIuYtmloeZLxIqLWoWaTDzxVC28wP8ccqUKaqS+VuTFLQkVGIixJ25MmfTpk0TxkEwf2uS4W58y/k5q9VJsBQaxGnnh3F1czL4xaSUiHEZzG9BnvmDiu81hvgZbyC2uPvrb01SMHLPmTcjzqCMuvlABvhZKOLM35pkOzoGFKwYBSXdKXwXH05OYcvgtyHDn17ERAyplLaiWy5LskHaZGbMBYykiBiBgjkHZi+SehRBhkfSTjBqCKSEiDHvgDLx0Ucf6eogDPXVG1DwS4Zp/dWnn4jxXRIix0XppQ3gNVQIBv5RMQheKMQQLYoSb4vBFLGouUiaHii1RIztGapmRhB/cYtLIPSQbxYwoWzQsiTm+YkYJ4+iRjLk++EeYRFuRsxdvCliaeoGJ7Wz1BAxDoAaiu8sWrQowfEgXeTYatWqhX4eNKxP3KMohIy5mdegEw+aEfNuZ4rYSd3uk/5SmhAxqjpmHJiHmDVrlkrtzNRgLJd1S26pEpFRvSvPli9frkmOYWozQyAlCBCkCDZ33HGHzmWhVKHI8tgIqkXaP8jsJKomTZooceLZYSgVPFaCbWjfMIBNQsR/MZRcVF2Wfj/00EOhGTGqS8gWxypRokSiU2SAljkzkibzZTxagORKJek1I2IpubsZbxtWpjH8DqmmYERdYCaWVjSzOxB3fAtlFMPX1q1bp7M7fIfhefwOP6VViUrLADfJEn/DR5kpJPlh7BP1g5mxGjVqJAKEZMtQNkSLfaF0oLx6VV2+ZEQsfX2JAX3mRVE0KfiY7XIL2lCvyJM8c5D8554TxvY8nsf7rEGIPTGJlrZTrJgp4/7y9IGuXbuGikNiII/mgdAFGX7LI6JQ7/FHVvIGPRvPiFh0fSdiIsbsA0yd5EibEcdyzxDjUpBY582bF7oqnIyBRGc4ISoCS3bNDIGUIEBShBxhPO+L5MYzeFBmIfkUBW+99VYoMbp90g5iFofVahA3ZjL4mVO4CG4kQJaM+43nhzHASiANMgIr8j5JlADrHdZ3269du1YTqFs5l5JrtW3SHwGUTtp+GEScORraSPgYSRLSzgMyub8Yj5x44oknEpw4nQLIPH4KSYdgQeD5GcTNbzx2BX8L6hKQtEnAbgifdjirdf0LnVCDib/mb+njQwy/Q4iICcQNYg3zXTx6hCIRMk7upBWNWo9RvPlnUXkSAfth7s8Zj8Bh/0EG4XMLjfyf42ssJOGcMHyZgtb/kGIIPq1xt/I7fRA8fY4aMRE7faCyKzUEDAFDwBAwBAwBQyBtETAilrZ42t4MAUPAEDAEDAFDwBBIMQJGxFIMlW1oCBgChoAhYAgYAoZA2iJgRCxt8bS9GQKGgCFgCBgChoAhkGIEjIilGCrb0BAwBAwBQ8AQMAQMgbRFwIhY2uJpezMEDAFDwBAwBAwBQyDFCBgRSzFUtqEhYAgYAoaAIWAIGAJpi4ARsbTF0/ZmCBgChoAhYAgYAoZAihEwIpZiqGxDQ8AQMAQMAUPAEDAE0hYBI2Jpi6ftzRAwBAwBQ8AQMAQMgRQjYEQsxVDZhoaAIWAIGAKGgCFgCKQtAkbE0hZP25shYAgYAoaAIWAIGAIpRiBiIsbLl7t16yabNm3SF4Q+//zzwovAeWGtM15QOmXKFBk1apRceumloZ/zkmVeVovdeuut+kb4bNmypfjkbcPTEwFenvvjjz9K6dKlZciQIXLmmWcGAvHkk0/Khg0b9CXM7du3D/nkiRMnZMKECTJjxgz9Hn5ZvHhxfbFuz5495e+//060P471zDPPSI4cOQKPxcubhw8fri8Tb926tTRp0iS0HT/nJb/YyJEj9SW7ZrGDwLFjx6Rr165y2223SaNGjeSss85KdPLffPONPPfcc/LZZ5+FPvPHNHyOWDh//nzdZuPGjdKrVy/5+eefE+3vxhtvlN69e+tLosMZL4vmxeNuf26748ePy6BBg2Tp0qX6I15K7n8JeeygH9tnOmfOHBkxYoQsWrQobOyYOXOmjB49OsGFtmvXTho2bKg/e/XVVzVG4X/PPvusXHnllTJ06FCZN29eIDjEsCpVqiQJXO3ataV69eoJ4hRfWLNmjcZAXgqeP39+9cF8+fLF9k2IgbOPmIi5wATR+uijj+Tuu+9WYtalSxe9fIIPQYCbumzZMrnqqqv054cOHZISJUqok1arVi2UAAcMGBADsNkpphcCRYoU0WT2zz//SJ06daRt27aaHP02fvx4uemmm+TOO++UBQsWSKdOnWT27Nly++23a4KiCOjQoYMGuFdeeUVWrVol2bNn190Q8Lp37y41a9bU/5OIOWbRokUlb968iY71ySefSN++fbUIufbaa5XUcby6detqsISccY4TJ07U8123bp3uyyw2EMiaNasmpj59+uh9PfvssxOd+ObNmwWCX6pUKf3snXfekW3btkmLFi2UuOEbfP/yyy+Xb7/9NsH3b7jhBunYsaM0b95cf86x8Lerr75ai1u/USgMGzZMY+Zll10me/fuTbAJRQrFwNy5c2MD4Dg9S8gwRAZivH//fiVQfvv333/l6aef1iIO+++//7Rg5LuFCxeWWbNmqUCxfft2zaX4FDkTnyLGEbcgcs4nd+zYob5D4RlkfE5M5JzwH5en2ZZzIeZRoF5wwQVxelcy5mVFTMSo3GDvBBGcgySDCuF1BFj24MGDhQrOETEcq3LlypoE77nnHnnxxRfljz/+kM6dO2dMpOysMgQCP/zwgyYzjOSFulSvXr0E54YfsR2+ljlzZv03iYk/FStWlMOHD4dI159//in33XefJi2SGuYnYgcPHpQLL7xQzj333EAMSLAENldEsC8UMnz6008/VeXOGef+wgsvSIMGDTIEnnYSySOAjxCXrrjiikAiBjHCxyBOjkhRmKKeOjLPzykEBg4cKBB3r/mJGPsiEZ533nlJnhwqKz63devWBNs1a9ZMff/RRx+VPHnyJH+BtsUpQ4DcR8z57rvvAokYpDxXrlxyxhln6Dns2rVLmjZtKh988IEWgKj/kDTUVQg3xefChQvVF/1EjO2JQ3SV3P7CXRiFIUTPS8QgcPhUjRo19Lhm0UMgYiKG00C++KUn0Z1zzjmyc+dOvcnOgogYwQ3WT9LiphN0UAusNRm9mx/LR8Ln3nvvPU2M4VqT7vqoRlEQaIOjqDmjrU5rs1y5clKhQoXQz/1EDEJVtWrVQDWML6GsUYSQFKlMt2zZom3MSZMmSe7cuRMcj6TLeQcpa7F8P+L53JMjYv5rx69Ing8++KAUKlQo9HFKiRhtJ1SRggULppqI4esoJCR4CgjisyXV9PPO5IiY/8xQvbDHHntMO0zkVOIFeRWrVKmS1K9fX2OZn4itX79eO034TnIx0U/EIHCouBQJ06ZN00KR41hbMjq+EzERO3DggMruOEWBAgW0zYhC4LUgIsbnv//+u6oZS5Ys0VYQf1AwzAyBpBCAPI0ZM0ZJDzMYybX5kPOZpYEwOf9auXKlSv6otwQclFlnkCT2fckll+iP+Pf06dPDkic+g+jxt2snEMxoRTqVhP0sX75caGHRujeLHQRSS8RQ+yHhxEVvGzMcESPZ0ZJy87NHjhzRmaKTIWKowbRSUUdI4MygTZ48Wdv0ZtFHIDVEDALfpk0bnSMl9kCsKOiIG14iVqZMGY0h5FxGIlA/UcB+/fVX/T5/UkvEGPVA2SU+IqTQEv3pp5+kX79+2g0wO7UIREzEmGcg2OzevVvZ+r59+6Rly5bafnHyaBARox9NO7NWrVpy0UUXaeUGgWvcuPGpvWLbe1wgwKwDVd0vv/yivhfOCC4Qt8cffzxErLzbMp/BMCzEDkke8ytiJDMqUAgaAYvq0ZlLej169NAZDozPaQ/xO8DnGMl16tSpeh5ZsmSJi3twulxEaokYSj/Ex7tgCaxSqojhk8RGiJjf3/Adl2TDtSa994VWKN0GG9ZPH29NDRH78MMPtSXJyEWmTJkSETHIOjmWOWwIml8RW7FihcZDBvHJveRmt/AIn/HGnaDWpBch2qBjx45VPzRV7NT7TsRErFWrVjrw7Bg7zoEyQNJxNzCIiOF0KBQoEhjfYa6C4UMzQyAlCLzxxhs6DOufkXHfhfygBpQvX15nLMIZMjyBifZjEBHDVxnkp0r98ssvtaXujBVr3gAHQWQ+kkFYhmIx1An8u2TJkoHD1ym5Vtsm/RBIDRFjYQZzPOPGjUughqaGiK1du1bVsYsvvlhbjKgezl566aXQ3FdKiBjnwWwjha5Z9BFIKRFDmCBWIUo4IuVmwpg3ZbaUVjMzh/gA8cxPxJhDY/4VBQtliwKTdiN2/fXXa2HoLDki9v3332uLm/Y6M2xmpxaBiIkYw/rMdjEjxs1n5ou2DImHQIIFETFaNDgDLSFWGrG6DDkeAmdmCKQEAVQohpqDFngQtAhgtApZnUsyhfTfddddWm0647EDVKC0A9yjAvyKGO0eV1iwsCTcICyBlCDJYzO8yi4LVYoVK6aEEKNyhaQ5tSwl12rbpB8CqSFiFJKvv/66+oHfUqqIoWIQR/EzknLQKk32nRwRY/Cb+Ep8Dlqxl36Inj5HTikRo2hEUacY9M5XE+N4vAlzqozw4EPcU3wiaNXknj179FErPA4jZ86cYYFOjoix0vzo0aM6OmQK/qn314iJGIoYSYZERTXIEm4CEcv4MRg527ASiBU8PMICdk/7BkWDVRs4DEPM/Ns73HrqL9+OEEsI0ILk2TpUjxirdWknQsYgXvgP/0aN4nk7ixcvDs1PkNwYfKVgYJ7LLe33+h1JlMDHwCqJy82I8V1WVDKAHeSfEDBkfGYkaT26RxhwjiwEQLHj98E9f4rn93CuQc+jiqX7cbqcK8PuPPML1Z+2IUSb5Mj8DHM9riUNHiQu5nduvvnmEDz4K/7Gz4mDKKPMkOGztL157iIx0c2IsT3tRNqKXl9yO+RzYiztKZQLHpeCDxJfKWZ5nhnGOUDCvOdyutyzjHCd3HPmUIknPCGAxTw8joT/U/zREXLta+ZYuaf83DuTBUFjO5R2Yg/+R9ubBR2QffyP2OKKQ/7PsdzjMPw4oJgRM9kfSinnREx1/kxrFOOxKyi7LgZmBDzj+RwiJmLxDI5dmyFgCBgChoAhYAgYAqcSASNipxJd27chYAgYAoaAIWAIGAJJIGBEzNzDEDAEDAFDwBAwBAyBdELAiFg6AW+HNQQMAUPAEDAEDAFDwIiY+YAhYAgYAoaAIWAIGALphIARsXQC3g5rCBgChoAhYAgYAoaAETHzAUPAEDAEDAFDwBAwBNIJASNi6QS8HdYQMAQMAUPAEDAEDAEjYuYDhoAhYAgYAoaAIWAIpBMCRsTSCXg7rCFgCBgChoAhYAgYAkbEzAcMAUPAEDAEDAFDwBBIJwSMiKUT8HZYQ8AQMAQMAUPAEDAEIiZi//33n/z555/Ci5EzZcokWbNm1X/zdnhn//vf//Ql37zI1r2clM/++ecf+f3333UzXqibOXPmBJ/b7TEEwiHAi4/xO3yIl9d6/c19h8/xPXyObfwv2XbfP//88/UrbMvPgozvsg+v//q346X3+L7bn/ucn584cUL/y++H9zz4OZ8HfWZ3P2MgcOzYMX3RfFI+4PVHd9YuHvpj3h9//KEvp8dX8DdiqN/4Lv525plnhgWBmIrP+v3NfYH98zn7MYs+Avxuc4+4v1myZNEcF2TeGOA+92/PPtgXPsgfb0zx7zNcPPRuh08TM8m5Qcax8Ntw5xx9NOP7iBETsbVr18rgwYOVhF155ZVSrlw5+eWXX6Rly5aK3DfffCOjR4+Wt99+W/9cddVV+nMI2PTp02X+/Pn6Xd4gz5vl+dvMEEgKgd9++03eeustmTZtmvrOU089JWXLlk3wFfxu7Nix8sUXX6g/1qlTRx577DENPCSozz//XDp27Kj+uWvXLv3uBx98IMOGDZPVq1fL9ddfL1dccYX+nO1z5colzz77rFx99dWJTo3Pd+zYof7Lvnbv3h3a5vvvv9fz+OSTT/RYnMcTTzwhF110kfDZ888/r9tzjpUrV9ZrCSKV5hHpg8C6devkxRdflMOHDyvpJ9YVLVo00cls375dXnjhBfnpp5/0M/6+5ppr5KWXXpLs2bOHtp80aZJ0795dfvjhB9m6dasMHz5cFlq6AtcAACAASURBVCxYIPny5ZPcuXPrdpC6iy++WLp16yaFChVKdCyS8s6dO6V3796yfv162bNnT6JtSO4zZsyQ119/XRYvXpw+4J3GR+X3+ZVXXpH3339ffvzxR7n11lulX79+cuGFFyZC5bnnnpPNmzeHfr5hwwb1s6ZNm4Z+tn//fmnWrJl06NBB7rvvPhk/fryMGTNG/Qx/dISd2NigQQNp0aJFIPp8/t5772l+bteunXTp0iXRdj///LO0bdtWc3m4/ZzGt/aUXHrERKxixYpSpUoVTWoHDx6UPn36aEBxN5gENGHCBE1Ec+bMCRGxN998UwPcvHnzNPHgeJAzEpOZIZAUAj169JAvv/xSnnzySSlVqlSgSkUwQym48cYbZcWKFUraBgwYoMmRJEUBQSDbtm2bJjWv3XbbbZosa9asqT9me0jUZZddpgTKb6gOBFz2R3L17g//vuGGG/QPxypZsqS89tprUrVqVU20v/76qyZrfncIevx54IEHzAEyCAIvv/yyPPjgg6pC4HeQqq5duyY4OwgaxD5btmwa3yBSkCuSMcnUKaD43DPPPKPEGyLmDN8gfjZv3jxExL7++mtVzXLmzJkICfZP4sZv8HOKDb9t2rRJ90lspbAwiy4C+/bt0xhFgXjo0CFp3LixDBw4UIoXL57gRPADfKd8+fL686NHj8q9996r5DlHjhyhbSHdxBfEC4gYBhlbtWqVzJw5M1S8UTAQq4hhQcbnr776qpL0WrVqBRKxhx9+WD7++GMlY0bEouM3ERMxKrm7775bRo4cqa1HmDtqhfcGrlmzRokWQc0pYjgWEv2QIUP0SklkOIBTJ6Jz+XaUWEMAQoXCSkAqWLBg2NMnOSKtUylSBBDYOnXqlEBqpxAYNWqUfPXVVwn24ydiJDKOheKblKF88XvgTYwkY9QNb9LF56k2a9eurVXp/fffrx+PGDFCVbm5c+fG2m2J2/OFhLv2DDELkuxPcihUbOfaPLR1UL5Qs1yCJeGiTqGCTpw4MUkiRuGQP39+yZMnT5K4QugpLiD/XqPdiS+SkPHtZcuWxe39yagXBlnGL1Dssfr166tPBI0t0IZ0hsLJvZs6dWroZ/gDKtaHH34onTt3DkvEIO+QvmLFiiXZ0mbHjRo1ksKFCyciYsQeyCB/E5+MiEXHwyImYgQVWi158+bVKhDFgTkYrwURsV69esm7776ragVVG5UdCgR/sw8zQ8CPAOSKoEUQIfmQZCBXqFf++S++i1IF2ScIUgTQavTO64QjYkj9tAgdQaKSRcrHx1NLxLzbU6TQoiBYEuzq1aunbQVaExBGKl7OiQrZLOMgwDwOsQ2Vo02bNonim/9MUR369++vSQ4VldY1IxgQcvZBi9uriEHYWrduLU2aNNFd8TlqRFKFBtuFI2IkcZQ7jvXGG28YEUsnVyJeEX/4nV+6dKm2n5Oa+YO4obYSd0qXLq1n/e2332qMo0ijNdm+ffsERIxxH3Iw8Y+CkYKgbt26J0XEiDvvvPOOKrPVqlUzIhZFv4mYiOFsS5YsUWWBar5EiRKqWNx0002hywgiYkifrVq1kgoVKsgdd9yhjJ82Do5nZggEIcAczi233KJVIQEJIkaLDwLTsGHDRF9xM1/Mb0HuqUiZ9XIWjogRMGkLuBkxBlsJdpEQMUiha82jIGOzZ8/WxE47nsQ5btw4bX3yc7OMgwBtHJRYyD+EHOKclKFA0TqkQMBoSX/00Ueq+FMQ+InYddddp21INyOGsoGvnAwRQ/0lOfM7gj8ZEUs/P0IZh0Bt2bJFjhw5oi1E8mM4++6773SOjJYzxIpZLebMGMGgeAsiYnSayLUQPLahSCWvJkX4OL5fESPGLVq0SNVe5mMrVapkRCyKrhMxEYOEkQxpwUCkkDQJKgQB1+MOImJcIzIsf2DxBJ577rlHBg0aFMXLt0PFEgKOiO3duzfUJqRyZO6Coedwtnz5ch1sJmjdddddyRIxf2sSX2YuAyJGopsyZUpoH/ira0kFtSbdhhQaBw4c0GF9r3pHcGaYlz+0W0n4tC3NMhYCKJgQd0hZcool5JqZIJd0UfoZ0maGDB+mxURHgOKBUQ3/jBjtbfwNIkYRwYytMwiWKxD8ihgztjVq1AgVwRBA5tFQhBnyRp0ziz4CFIwonuRJ7kM4I5dCxlhUBJEin7rijXu7cuVKVdcef/xxzZX+GbGNGzcqGWNmm/Y0rXAKAIwC1HtsPxFjfrFv374h30EBpkBAoaNwTI7YRR/V+DpixEQMh8BZCDIYVSOyOvI4ygIWjog5KJkpY8URCc99J75gtqtJCwRoEUHyafMgnWPI+CQfN+gcdBxIDiSMViDzE85SOiPGQD0JjRVHzFVABJ0VKVIkFKTCETG+yzkTQDl/vxE0hw4dqvOVJOFwS8rTAkPbx8kjQNEI8UZlCmcsuqA1xMiFu48QN/f4Er6L36HWkhx51ICfiFHUsh+SMv4FgXcGOXMzRX4iRguUGVv3OBQSObGXuMrMmXcW6eRRsG+eDAL8fpMjH3300cCv4x/87lMEurlCVkRy75k3I4axEA7yzpA9pNpPxLjvKO/4GPthZhtVDWNcCKXLmZ+IEeNQYp1RTNCtIpdfeuml9lipk7npqfhOxESMm0u7CEWCQURmI7iprorDMZDqcTLalwQS2DUDrTjO5MmTVQVAjmVFmZkhkBQCtL1RkWjfoS7Q7iFgEayoGpkBIwBBblzyoyqkWICMucF5PichEsxok/Md91w7FCkeReFmxAhmDNijLPgfk+HOFV/Gh0l6tCL4XcDP+V1g6JXfB1es8LvAkD6Jmt8PNxDLz5NbEGDeET0E8Cn3DDGOyipXkhP3k3ke5n/42zuADRlnQBtVI8i8rUmIEz6LokvCQ0XDiI3EU+IqjyIIMrZh9RvbsdCJc3CD4W57a01Gz1f8R+L+eJ9JSCyZNWuWjki4+w4JdwtBIN3cT2KMa1F79wkh87Ym2Tf3F6XdzYixPQQfFQs1NMjwaQpKYg4FANsGFX7Wmoyu70RMxEiKVFv0wnEOZl2YxXHG8L233UhCgmGzig2ZnyqNBBT0WIDoQmFHixUEIE9uJRhVPwkIMgbRglAxJE37kJYkVqBAgQQ+CPkh6Dllg2eD8WgC1AQSG4TMbzwGg2R5+eWXJ/rMzX+hemGQqZ49e2rV+tBDDyV6SCzVKMmcRQC0E1DpSPJmGQsBVjjiFwzfYyiaPFoAc48dgaixctEZLXDUBGJckNFeIu7hn3QPiJvsy28kYxZBBT1XkWTKHJgrdknoFAr+Z9zxO0L8pQ1qFl0EGM73tpRp9Tmj3YxggTrm1C9Uc+4VowtBD1FlxozCkVW7tCfZN8cIMlQz9hNkFJXMkLkilQUi1atXT9R6RH1DGHH+Hl30Tr+jRUzETj/I7IoNAUPAEDAEDAFDwBBIGwSMiKUNjrYXQ8AQMAQMAUPAEDAEUo2AEbFUQ2ZfMAQMAUPAEDAEDAFDIG0QMCKWNjjaXgwBQ8AQMAQMAUPAEEg1AkbEUg2ZfcEQMAQMAUPAEDAEDIG0QcCIWNrgaHsxBAwBQ8AQMAQMAUMg1QgYEUs1ZPYFQ8AQMAQMAUPAEDAE0gYBI2Jpg6PtxRAwBAwBQ8AQMAQMgVQjYEQs1ZDZFwwBQ8AQMAQMAUPAEEgbBIyIpQ2OthdDwBAwBAwBQ8AQMARSjYARsVRDZl8wBAwBQ8AQMAQMAUMgbRAwIpY2ONpeDAFDwBAwBAwBQ8AQSDUCRsRSDZl9wRAwBAwBQ8AQMAQMgbRBIGIidvToUXnqqadk/fr1UrRoURk9erSsXr1aatSooWc4Z84c6devn/67c+fO0rhx4wRnft9998mBAwekXbt2+jb6s846K22uzPYStwh899130qVLF2nQoIHcf//9csYZZyR5rZ988onMnj1bunbtKhdeeKGcOHFCXnzxRZk8ebJ+b8KECVKyZElZvny57vfvv/9OtL+yZctKr1695NJLLw081vz582XQoEHy119/Sfv27aVZs2ah7fbu3Stt2rSRb775RsaNGyd33nln3N6beLwwF6Nuv/12GTZsmGTLli3sZY4dO1ZmzZolb7zxRuB2n3/+ubRu3VreeecdWbdunTzzzDNy5MiRRPsrUqSIDBw4UHLlypXksRYtWiRvvfVW4DYbNmzQ+Dt8+PB4vC0Z/prwA/zl+PHj8vTTT0vTpk3DnrOLafXr15cHHnggUUz7/fffdV8VKlTQ+NG/f3+NaUHGZ9WqVUsSnypVqkjt2rUTxCnvF8jjV1xxhdSpUyfD4xwPJxgxEXvooYfk3HPPlZdfflm2bt0q9957rxIzEtqmTZvk7bfflu7du8uaNWuEbUmAOADJrlKlSvqz6tWrS6tWreThhx+WqlWrxgOudg2nEIHs2bMLgQkCBbFPioj9+eefcvfdd0v+/Pll1KhRcskll6hP7ty5U9q2bSskzvHjx8uqVauE/WK33Xab+mzNmjX1/8eOHZOVK1fKLbfcInny5El0ZVu2bFES9vzzz+vnpUqVkieeeELq1asn//zzjxYlLVu2lDvuuENuvPFGIXmWKFHiFCJku04rBLh3xKwsWbJojOLeduzYMXD3JNuJEydK5syZZfv27ZIzZ84E20HSIXM//fST/PDDD6HPbrjhBt1n8+bN9Wf/+9//1N+uvvpqKVy4cKJjETvx5d69e6s/f/vtt4m2Yf8QvkOHDsn777+fVnDYflKIwMcff6xxhqKMQpDCbObMmXLzzTcH7iG5mEZ8oiBYsmSJ/o25uMV+zz77bP3ZF198obGMwi/IvvzyS6lYsaIgoHTr1k3ztN8474YNG2oh0KJFixResW0WCQIREzGCCL/wBCnULKow1LEnn3xSSFAkNWcQLgJRjx49ZNmyZfLCCy+os2I408KFC+W1116L5Hrsu6cBAj/++KMqqFR1SRExEh/JCiWKQOWIGAqEUzUgdKhqKAcucfqJ2P79++Xiiy+W8847LxDdPn36qMpGJYqhji1YsEAT+IoVKzQ5o7ZhqBMbN24MW82eBrcvpi4R0pQjRw495yFDhqgi+sgjj4S9BhIln/uJ2B9//CGvvPKK3nt8ISkitm/fPrnooovkggsuSBIrYuWAAQO0APYa5J94On36dMmUKZPGWrPoIgCZRgk7//zz9cAUZcSiQoUKBZ4IfkZhGBTT8AdIEz4FOQpHxH777Teh8MRHk+sSNGrUSEm+n4jt3r07ROIQTIyIRcdvIiZiVHG0IkmIVHVUjl9//bUULFgw0RWUK1dO+vbtK2XKlNGkhfNBxjDUM5wDuT4p6T86sNhRMjICKSViVIyXX365Jj1UAUfE3LVRFdI2R8YvXbp06JL9RGzkyJG6Td68eQNh6dChgyY8kuI555yjBQgBbtKkSdrOvOaaa0Ltefyb35l33303lOAzMtZ2bv+HwLZt25TQkJhQocJZEBH7999/1f8YwTh8+LA899xzSRKxwYMHa5cgKIZ6jxuOiOFjO3bskJ9//lkLASNi6evFFGoQsAcffDDsiYQjYsQociadIgoBFLZwROzDDz/UnEpheeaZZyZ50UFE7ODBgzJ37lyNdY899ph2royIRcd3IiZiJMWhQ4cKySp37tzazqFN4zfYPKpDz549VZ2g9UOAInk5IkbwIYiwHzNDIBwCKSFitAM+++wzYeYCRcpPxEhOVKioCfgs8xzOaC/im8yTYVS1fB6OiL366qtaqc6YMUNbD6gR/KF1inJXvHhxnU/D8G9mRTj+tddeazc5BhCAwDOfg8qBLyU1PhFExEimfI/kBnl69tlnExCxfPny6WyhI3iotEuXLj1pIkYbjAIXv2RWzYhY+jgZsQUli1YhIzsUhldeeWXgyYQjYvgd8QmBg/vqJ2IUerQ1UcAYoaAoJOacDBFbvHixxjrmYStXrmxELIpuEzERI2jQstmzZ486DG0gEg2BAJUAo22DEzL4xwAgRnuSWQcSGIZkX6tWLW1rMhthZgicLBH79ddf5fXXXxcGnhl2njp1qvoXFaV/xoukyOe0Ed0CE78iRkXbpEkTJWK0G0iszmhb0XZC5aD1hHF8giZBFKX41ltv1eSLffDBB7oohfaUFRyx4+MMUzOC8emnn2qMC2dBRIxikznF6667Tgk6/2dWh9Yj4xz+GTEWNeEjKGLETvzJGWTNLWjyK2IUD5A9F1OnTJmihI7t+J6Lx7GDenycKWSY+0nOgygFWRARo3hkoQ8zXahVkDBmTVG8smbNmmhGDMKHCkoexSBmxCsMn/EquX5FDAUVws7PMVqpHIeRI45ldmoRiJiIIV2SxBhQxUhG/CG5UekRSKjMSGIwbWeoB2+++WZoJmzevHm6oowhVTNDICkEklPECFootLt27dLdMPdAS4gABRnzr8xlwQjDqU7p8BMx5h6Z2UEhYzDatdPZ97Rp07RadYYS16lTJyVmDOczE0bb3SluFCT4Oi0js9hCgAVHqKi0lcNZEBFjcBqfxRjboDvAz/hDXPQTMVRTkibqBG11fNYZ3Qe3ktJPxJgRItnTAnV+z7/vueceJWdXXXVVbAEeR2fLfWFMItwQfRARo1gjvpBDmf3avHmzLjqCkBHL/MP6zLIy/8p4BOIIxahbqEER4LpPwOonYsQoFhs5W7t2rfoL580qzuQUtji6VelyKRETMYIIVRjMmYREwmFZLYOiJC5IGpU/fW0chHkyVo4hpdIzp//NYy+YqWF2DCZuZghEQsT83yVgBc2IsR1KLlUqqydd28BPxFB9KS4KFCigSS3cIKxbgYn6VbduXT0NEikkjwRKYcL3+Ty55eXmARkPgREjRqj6SbspNUTMuy2ry/2tST8Ro1NAHKVgwI/CPdIn3IyYOx6FrbUmM4YfMSLBAjYekxNkSQ3rsz2EOqg1iQrmXTXJanAeiULMc4tMgo4XbljfbcsTDWxGLHq+EzERY6VHsWLF9PlhsHaSFCshYdM4DtU/qzicYsayfRIWpAx1gf9D2CBz9Lb5uZkhkBQCEHaUJxQDFApUWQgPgQ5fYh7Ha34ixoC+U6h4JAX/R5nAb2kLffXVV+qzbtUaq9AoJpgVgoz5jVkwFDgIHI9u8S9RR0nhcRZUtlSdzF+45eZ2pzMuArSFeKQOCitGW4ixC9RRlAfmXWkbUnRi+Ad+QFxDXWXo3j9w7yViDFeTNGmbs0DJtY7+++8//Tet7aDHnNCChIShvJLAWf1G8eufOTQiln6+RXxxz8/kLHhkDYt2+L3n0Ra0uREf3DhEUEzznr2fiLHvMWPG6GN8yLWuOKRQgLx7VVTvfvAXRBG6BORkVDJW+foVLyNi0fWdiIlYdE/XjmYIGAKGgCFgCBgChkD8IGBELH7upV2JIWAIGAKGgCFgCMQYAkbEYuyG2ekaAoaAIWAIGAKGQPwgYEQsfu6lXYkhYAgYAoaAIWAIxBgCRsRi7IbZ6RoChoAhYAgYAoZA/CBgRCx+7qVdiSFgCBgChoAhYAjEGAJGxGLshtnpGgKGgCFgCBgChkD8IGBELH7upV2JIWAIGAKGgCFgCMQYAkbEYuyG2ekaAoaAIWAIGAKGQPwgYEQsfu6lXYkhYAgYAoaAIWAIxBgCRsRi7IbZ6RoChoAhYAgYAoZA/CBgRCx+7qVdiSFgCBgChoAhYAjEGAIREzFeQPvLL7/I8ePH9YXdvKyWf5977rkKBS8h5cW4GC9kPu+88xJA9Ndff8mxY8f0Rbr2IuQY8550Ot2ff/5Z8Bsse/bsYV8U//fff+tLkXkhLr7nfJLv8SJv9vO///1PP+cF4meddZb6Mi9d9luWLFl0H5kyZQq8avz86NGj+l38OEeOHIm2w89/++23sJ+nE5x22GQQwCf+/PNP3eriiy9O4Ef+r3KPeREzL433vkiZn+EfGDESfyJOsm9iqN+IpcREfDKccSzOi2N5DR8k5rpzJubiu2bRRYD7y30g1hATuO/h4oeLR9wrb5zijJ3v4BP4H/vAl/h5kCXno3znxx9/1OMQ97xGXHUxkHNmX0n5YHQRjd+jRUzEVq1aJSNGjJALLrhAcubMKTfffLMGmFatWsmRI0fklVdekY8++ki+//57ue6666R37976tnhs+/btMmXKFGEf/M13zQyBpBD44osvpGPHjhogCBjFihWTZ555JlHwghjNnj1bFi5cqJ/hWy1btpRs2bLp7rdu3SpDhw7VIEmAq1Onjvrviy++KEuWLJGbbrpJrr76at0Wsnb55ZdL586d5Zprrkl0epAr9oWf83tA8H3++eflhhtu0G0hhJ988om88MIL+u+8efPKwIED7UbHAAK7d++WNm3aqN9wn7mnPXv2TFRQcimbNm2SwYMHy3vvvaexDX/CKAYmTJigP2N/FSpU0H3s3LlTXnrpJZk1a5YULFhQ8uXLp9tDzLJmzSqdOnWSQoUKJUKJz3fs2KGxdMuWLbJnz54E20DQHnvssdDPqlatKg0bNowBtOPnFIk/3PP3339f4ws5sUWLFnLPPfcEkrGRI0dq7OnRo4c0btxYi0Ns7969MmjQII117Kd+/fpy3333ab4cO3asHDx4UEqWLBki/cSe6tWrJ7j/XlT5/O2335b27dvLk08+KV26dEkAuotj/DBXrlzq+0ExL37uVMa4koiJWPny5fXGc1Nh2QMGDNCkxQ1evXq1JiaS5b59+6RatWrqZB06dNCrJ4iwzauvvmpELGP4Q4Y/C4IZVdv06dNV0brssss0wV1//fUJzv2dd97RIoAiASPAlS5dWgMZQXHy5MlaGFSsWDEU9NwObrvtNunevbvUrFkzRMS+++47VbmClIVt27apT48aNUpuvPFGGTZsmBYh/fv31+9zLgTau+66S9q1a2fKb4b3sv9/gl27dpUNGzZonEKFuPXWW+WNN96QwoULJ7qKtWvXyty5c7UA8BKxL7/8Ug4fPiylSpUS/s3fmzdvVkKOQe4oLpo3bx4iYiRg1IogZRUiBrEfN26ckj5ImdfefPNNoWChcDBLHwS++uoreeKJJ5QslyhRQrgn/KEYIyf6bfjw4UrIiQ9eIkZeRfWHuOODQ4YM0f1AysaPH68ixsyZM0MxhZhIrCpSpEjghfP5ggULZNKkSZq3vUTsm2++0RhG3PKrcumD4ulz1IiJ2LXXXqsJZsyYMVolonyhKBBUkE69rcimTZsKSQ4Hdcb2VapUMSJ2+vhcRFfat29fVbkg71SJo0ePlpdfflkyZ84c2i9E67nnntPWzlNPPaVEa9q0aUJw5Ptff/21NGjQQA4dOiRz5szRQOk1PxFbvny5JkunkPkvgKRXu3ZtefbZZ3W/kL57771XypQpkyDR4v/Wfo/o9kf9y/gXyW/RokWqZKBgQe5pLQYZse+RRx5JQMRQVN19/+GHH1StmDdvXqil7idiS5culQIFCgixNSl77bXXtPBF3fUarUoSNaprkyZNoo6ZHfD/lCyKRoQKCPHUqVNDipa3Ze2wQjVt27at5kJHxHbt2iX16tVTskUH4MSJE/o5sQ0VzE/EUFtRyIhnQcfw3pdGjRppMeElYuTwXr16aQuVWGkWPQQiJmJIpLD2K664Qhl9njx59Eb6jWBUvHhxWbx4cag1yTZGxKJ3s+PlSASqGTNmSKVKldSf/HMXKBe0dVAeSEQQMQgXKhjVJAGNyhBVAemd/ZBwSV4YqgdBsXLlyvp/qtjWrVuHFIwgHDkfvoP0T9K+//77dTOSOAEOYkaSxt8Juq5FGi/3JJ6vA5WCttGdd94p8+fPVxU2nAURMbbF50iUFKjsg66BM9qP/BwSj1Es0DqiXZlaIoYSR1sdxY1WPDEXNdb5djzfp4x2bShYjz76qHz77bdKihmhCGdBRGz9+vX6HQpBd/+IVRR43bp1UyL21ltvaexijuvdd9/V3UPeUkvEEE1Q8WlDNmvWTD788EMdtyAGJrevjIZ7LJ5PxEQMmXzZsmUqk8PcixYtqr/4/O01qjz65igHXjMiFotuk37nzPwL1SXtPlqCzOTUqFEjwQklR8T8SYngBoly5ImW5ZVXXhmajSBI4t+uleS/epIsgYsEizrBrA9VK0GN9iZtKYIaSRFCxvYQSP+gbPqhakcOh4CbNSTGoXyi5rsWYtB3whEx2ofM9OC3+/fvl40bN4ZmwvA3WpBuRozj0G46GSLmPScUX4oWzpk5MbPoIcDsKYUeQgVEjBhAOzDcPT1ZIkZcuf3225UskUvr1q2rBDw58hSkiHnRwY9pYfbr1y9B0RA9BE+vI0VMxLhZJBuSH8mFlpHrX7vVPDgkg8wPPvhgoiFXI2Knl8NFerXML7AajJkJWjOoFZAg71AzyZPZHubGULJQxFDDSIIEQ397EGJH4KR6xfytyYkTJ+osGUSMuUYqUWdUowRa5sI4JivWaFHSWuL/VKcQMP6NUaw8/vjjWrwk13qKFCv7fuQI0IokfvE3xSTqPzHvlltuCdx5OCLmNiYOQuTwS0fo/K1J1Df8jaSNwsXcjjNaR26xU7jWpPfEOG982zsOEjkqtofkEKA1iRoOKaJLhLJFbGDwPmjONIiIUdTRxmb2kNEL4hrFIj9j1tXfmkQFpTWJikWMpEMF4cc4B1Q0Z8kRsQMHDujIx0MPPRQqEJK7Zvv85BGImIixAoiAwEAh9tlnn6nzkdyo8GgB0ZpB7vTK8e6UjYid/M07Hb/JXAOkhgDBCkRWIbFCF8LjjIDnnQkjEfXp00cDIC1Lf7XI4D+tdZJfEBFDhWPImrYj1SfBzhk+ToKmNUnSo+VI4ET94P8oaZAu1zZYt26dEjFW2Nm8WMb3YNRSFhlBnPAjFKZy5cqFXZWWHBHjivFXVr65xSB+Ioa/oZoxy8hCJ1pGznLnzh1qU6WEiKEY33HHHXrOZtFDgIKNldPgzz37+OOPNQ8yP8pqRL8FETH/TBhzW8S5NWvW7OY3TAAABCxJREFU6MyYn4ixPTGRxSLcc3IyK30xZhq9qx+TI2IM/L/++usaZ/2PR4keiqfPkSImYgQRZmpYHcKSa6RSnAGlAOd6+OGHdSDQVf9I7rQnSWD0pXEughvtzLJly9ozS04f3zupK2U148qVK7VaI/A88MADqlLR2iFhoX7xbyo6fI/tCUJUhyTT/Pnzq98x6I99+umn2lJE9aKKpHAg+aJ88DfGz/BnghcLU/xGK4n5HpQwhmghgayMot2JodaxKo5BWx6Twb9pIZhlfARQOrn3zBbiWyy4YAYQ4o5fMJrhEhVdARaSsIKW1Yz4GmSbn7uECKHn/qN2sKgEnyXuoXK4GTH8GhIPCfMWGF608GEKCM6N3wfOgTkhVBPOC0Mh4Q9tcrPoIsAKRBTPWrVq6epEHhnB8D1KPoUgrUoWE5Ezsc8//1wLTIb7WezhVDO6TChZFHusyMXfmB/EpyBiPB4DBdU964u5MroGKK9BRjFBIUlsQnFl34xI8HNions+IzGMR/4Qs8xOPQIREzGqMkgVCgA3EUXASekMKKKQeY1ExYA05lpF/JvEhWrhnr1z6i/djhCrCDA8D/nCqDpJigQ2yDyBzQ3FMpdDK4BAQ9uRliPGEC2PtsAYbHbbI+O7Vo4fG4IWyTKcf+LLBC+SKPORJFtnBGUIIUYR4pSQWMX/dDtvVE0SHkay5BElJELa3KhXJFeMREniJKmhetAZQA1hhSSPvMBol7vtKQKIm+5Br15cUS9cW8uPN8kYH2b+CKPQYMCfuUYIIM+vwvBDyIA9zDV9PJaWNj4CMWasgTjDUwQQHxAsKOzcympGLByBZoQHFdYZcYWBfeIXJA01jI7TihUrAi+MIg/yF2So+hQKxCmMFidki0KBYtStwMX3gorO9EEy/o8aMRGLf4jsCg0BQ8AQMAQMAUPAEDg1CBgROzW42l4NAUPAEDAEDAFDwBBIFgEjYslCZBsYAoaAIWAIGAKGgCFwahAwInZqcLW9GgKGgCFgCBgChoAhkCwCRsSShcg2MAQMAUPAEDAEDAFD4NQgkCwR46nPZoaAIWAIGAKGgCFgCBgCKUeAVf0pWSWfLBELevhcyk/DtjQEDAFDwBAwBAwBQ+D0Q4BHLflf6xiEQrJE7PSDzq7YEDAEDAFDwBAwBAyB6CBgRCw6ONtRDAFDwBAwBAwBQ8AQSISAETFzCkPAEDAEDAFDwBAwBNIJASNi6QS8HdYQMAQMAUPAEDAEDAEjYuYDhoAhYAgYAoaAIWAIpBMCRsTSCXg7rCFgCBgChoAhYAgYAkbEzAcMAUPAEDAEDAFDwBBIJwSMiKUT8HZYQ8AQMAQMAUPAEDAEjIiZDxgChoAhYAgYAoaAIZBOCBgRSyfg7bCGgCFgCBgChoAhYAgYETMfMAQMAUPAEDAEDAFDIJ0Q+H9HpsO1BJjL8gAAAABJRU5ErkJggg==)
The concentration of PFOA (0.12–2.10 ng/L) was one or two orders of magnitude higher than that of PFOS (n.d.-0.14 ng/L), whereas the PAF of the PFOS (which ranged from 8.13E-15 to 1.02E-9) was much higher than that of PFOA (which ranged from 6.31E-129 to 1.27E-84), indicating that the adverse effect of PFOS is more serious than that of PFOA on the ecosystem.
At present, multiple PFASs have been detected in the surface water in Caohai Wetland, which increases the overall risk. Given that an individual target contaminant may represent a relatively low ecological risk to aquatic organisms, it is necessary to conduct a combined ecological assessment(Du et al. 2017). The SSD model can calculate the msPAF (multi-substance potentially affected fractions) based on the toxic mode of action (TMoA) to evaluate the combined ecological risk(He et al. 2014). Owing to the different TMoA of the different contaminants, the msPAF can be calculated via concentration addition or response addition(Gregorio et al. 2013). Considering the unclear TMoA of PFOS and PFOA, the response addition approach was applied using the following equation:
msPAF = 1- (1-PAFpfoa)(1-PAFpfos) (1)
Interestingly, the combined ecological risks (ranging from 1.44E-87 to 1.02E-9) were approximately equal to the risks of PFOS in the detectable sampling sites, although the concentration of PFOS was low. Generally, the spatial distribution of combined ecological risks was related to the distribution of PFOS, which exhibited a relatively higher risk inside of the town side. Risk assessment results for the individual and combined PAF of PFOS and PFOA suggest that current concentrations in the Caohai Wetland are not likely to bring adverse effects to aquatic organisms. However, due to the wide presence and potential biomagnification of PFASs in the food web, PFASs may be a potential threat to precious species in the Caohai Wetland. Therefore, it is essential to monitor PFASs in the Caohai Wetland.