Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Shreeya_Khurana_073117_4 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | August 15, 2015 |
Start Time | | 2015/08/15 05:00 |
End Time | | 2015/08/15 17:00 |
Key Words | | Magnetopause Crossing |
Model | | LFM |
Model Version | | LTR-2_2_0 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | SM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 4.76 |
Dipole Tilt, in Y-Z GSE plane, deg | | -19.07 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 30 |
F10.7 | | 91.70000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Shreeya_Khurana_073117_4 |
Minimum Dst Value | | -64 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIEphbiAxOSAxODozNjo1OCBFU1QgMjAxOB9fjbMAAAGudEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoiU2hyZWV5YV9LaHVyYW5hXzA3MzExN180OiBMRk0gcGxvdCBvZiByaG8gYWxvbmcgR2VvdGFpbCB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAxNS0wOC0xNVQwNTowMDowMC4wMDBaIiwgIm1heCI6IjIwMTUtMDgtMTVUMTc6MDA6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MDksICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjoxLjczMjM4NDk5OTUsICJtYXgiOjg3LjU4MzMxNTAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX1eOMt8AAAABGdBTUEAAK/INwWK6QAASGhJREFUeJzt3Xt8FFWaP/7OjRAuIQkBAuSCJCJguMg1QFDAgOGiRo0Yl4ioYUAEhpkNEDBkg6Iys+DgLAOZAVZ2F52IUaMTmeiyRo3IaFB0okQMCm5wmyGuUeNsHDJDvs/08+P8itNd1bfq7uquz/uPvCrVdTl1Tnefp0+dOsfSBQAAAAC6sgQ6AQAAAAChBgEWAAAAgM4QYAEAAADoDAEWAAAAgM4QYAEAAADoDAEWAAAAgM4QYAEAAADoDAEWAAAAgM4QYAEAAADoDAEWAAAAgM4QYAEAAADoDAEWAAAAgM4QYAEAAADoDAEWAAAAgM4QYAEAAADoDAEWAAAAgM4QYAEAAADoDAEWAAAAgM4QYAEAAADoDAEWAAAAgM4QYAEAAADoDAEWAAAAgM4QYAEAAADoDAEWAAAAgM4QYAEAAADoDAEWAAAAgM4QYAEAAADoDAEWAAAAgM4QYAEAAADoDAEWAAAAgM4QYIETFkuQvUmCLsHgFl+U79tvv33llVc6PbIvTh3Cb9cQvjQAV+ADAE4E3bdk0CUY3OKL8s3Ozn7++ecDcurQe7uKK9Lx0kIvl8AM8K6Fv/vmm29KSkroR3xMTEx8fPzNN998+PBhfsmwX23KhP3xj38cOHDgtm3bugycYHLx4sV169bFxcVRJlOG07+83nK52NhYXv/yyy9fe+210dHRdHV33333uXPnxKHExtIpHK5XO76G1tbWlJQUVzLT4TbSGcXKkSNHiqvmDBkxYoRbReaLdibKkB9++MH7U3vA129Xq9W6YsWKIUOGREVF0bsuNzeX3lSeHcrdpKq9MTw7uweM/FUAZoD3H/zdDTfcsHTp0k8//fQvf/nL+fPnn3nmmeuuu45fMuyXlEjY22+/PWDAgKeeekpab0AVFRXjxo373IYW9uzZY7/N448/XlxczMszZ858/vnn29ravvvuu82bN8+aNUvaWO1iNTJBeXwNVCs/+uij3gRYDldOmDDhpZdeEmteeOEFWhPwAMvFXYIuwDp79mxaWto//uM/njhx4v/+7/+++uqr3/3ud/Rh9+xoCLAA3IL3H/xdTEzMN9984/Al+pLavXs3fU137949KyursbFRrKeqOjk5OSwsjP7929/+9vDDD9MPZfqVfM8993z//fe8mcP106dP/+1vfytO8cUXXwwcOJAScPLkydtuuy0hISE2NvaWW25pbW3VSDN/e7766qtJSUn/+Z//6UqC7Xe3vxC1NKgd1q00T5ky5dChQ7xMC9OmTZM2oAD3iiuuoHrRft/29vYePXo4zAS1zLGncXwlqo/T09M7OjrUMs3jlQcPHlReNeXks88+q7bxz372s/79+1PePvDAA5Ry6cg//PDDj3/84wE2tMBNUPbNZkru7iK9N9TeAw4PK9F4X2kfROOky5cvpwPS9pRRDq/33nvv3bBhg/16pvaZdTGXnF6RRvOqB58+7TR3dnZu2rQpNTU1Li5OtGRL59LIYZEGta8mtTwE0IAAC/5u7ty5CxcufOutt+hnrvQSffvk5eWdPn2avss2b94sakdaf/PNN3/55Zf87/bt26+//vrPP//866+/Liws/OlPf6qxvra2dsSIEfRdydvcd999W7dupYXRo0e/9tprlAb6Rlu5cmVRUZFGmikBVVVVKSkp7733nosJljZzeCFqaVA7rFtppmpD1Bnnz5+nykDaYM+ePVRt2O9IJ33sscfmz59vnwkOT6S2Xu34knnz5nGLoO4BFhX6lVdeeeTIEfq3rq6OlmmN2sY5OTlnbWihvLxcOjJVqLS+xWbmzJllZWUap/ZsF+m9ofYeUDusksb7ymnaHJ60tLSUPrZf2syZM8fhJVBwQCGLWm6ofWZdzCWnV+TKG8P1T592mrds2TJjxoxTp07R+jVr1jg8l8Z1iTSofTUBeAABFvzdt99+S98+Y8aMoV/JQ4cOLS4uFj/a6NvHarXy8p///OeYmBix/syZM+IIw4cP/+STT3j53Llz9INbe/3EiRO5Cv/000/ptyMd2T5JtF4jzZSAyMjI5557zn69WoKlzRxeiFoa1A7rVprDw8MvXLjAy7QQERGhfJW+1ocNG3bixAn7KyL9+/dvbm62f8nhiRyuVzu+5NVXX500aRL3lHLlJotaPeqwuYL+/vrXv77pppu6bDemf/Ob32gc4eOPP+bljz76KD09XTodvVHFBo2NjfYb2HN3F+m9ofYeUDusGul95TRtaidtamriZdrR4SXQB0T5k0kqDrXPpgcZ6/CKXAywXPz0aac5IyNDtO2pnUvjupRpcPrVBOAiBFhwGapWqTK7++67RWOJRlyi7K1M3/vKCpUiCe311dXVV1111V//+tc777zzl7/8Ja9saGiYNWtWfHw8byzFHxLaYN++fQkJCW+88YbDFNon2JULUUuD2u5upVm7BauysvLGG290uCNVNv/0T/80ffp0ab1bAZbG8ZVGjRpVX1+vfXyn59JY+cMPPwwcOPDpp5+mv+L2k8ONOzo6eJkWKPSXjkxrtDew5+4u0ntD7T2gdlglp+8rF9Om3F7c5LK/mcuSkpLsW7DElmqfTRdT4vSKXAyw3Pr0uZJmtXNpXJcyDQ6/mgA8gAALHGhra+vduzcvuxiv0FfS6dOn7Q+ltp6+0agiX7t27ZAhQ0T3GvpN+W//9m//+7//S99u9Fe7dudXX3zxRfo6pr/2KZT+pe9T8WPUarWqXYhaGtQO61aatftgjR079q233lLbl2Ksnj17SivdCrC0j6/cV+J0e3dXPvbYY5GRkeLmi9rGor2BFlxvweLePA550ILlyr+utGA5fV+5mDbl9k5bsOiXUklJidpFqX02XcxYp1fkMEnSQdz99Kml+corr7RvwZLO5WIOO/xqAvAAAiz4u+uuu+6ZZ545d+7chQsXPv/882XLls2dO5dfcjHA2rFjR05OzokTJ+gr6Y9//OMdd9yhvb7L1qBCB9m7d69YQz+4X3jhBfpd/tlnn912222uBFjkzTff7Nu375NPPqmdYIpmNm/e/P3339MF3nTTTWoXopYGtcO6lebdu3erPUX48ssvT506Vdr+rrvuoqyjQvnv//7vlStXetMHy+HxndKOMHRZqbHxnDlzuA8WLdj3BHrwwQdFl5pZs2aVlpby+n79+qndBlXbxcsAS+2wSk7fVy6mTbm96IN1ww03OLyEM2fODBo0SDxF+PXXX//ud78TW6p9Nl3MWKdX5DBJ0kHc/fSppfmRRx6ZMWMG7aXsgyWdy/XSt/9qUrscAA14x8Df/dd//dctt9wSHx/fvXv3K6644oEHHqCfj/ySiwHW3/72t1/+8pfDhw+Pjo6m33/V1dXa68mzzz5Lvzs7OzvFGgoC6BdqVFRUamoq7eVigEU+/PBDqkh+/vOfaySYfrNmZWXRBaalpe3atUvtQtTSoHZYt9JMP47pl3Gczfr165U3JrKzs5WZww4ePDh69Ohu3bqlpKRQ1CsKpcuuncnpeofHd8rFAMv+pLoEWPwUIb0t77//fuUzX7zQ0dGxatUqfiiMFsTdn+3bt1P2Ojym2i5eBlhqh1Vy+r5yMW3K7X/0ox9R5lAWPfTQQ3Rkh5fwxRdf3HvvvfTpiIyMpN8h9DF/++23+SW1z6aLGev0ihzmqnQQdz99ammmHyEbN25MTk6mDHn88ccdnsv10rf/alK7HAANeMdAwNx4441PP/10oFMBBoX6zHX0A4N+FwU6Fb7y17/+laJDf54RX02gC3yFQQDQz9Bf//rX9ANUPA4NIEGA5dSaNWusVuuZM2euv/76n/zkJ4FOjq80NDSIpwV9DV9NoCN8hUEAUN05ZMgQ+t50cWOHN6GMLCjSbPBEGioxxrRjx47k5OT+/fsvXbo0hEcT6NWr165du/xzLre+mgC04SsMAAAAQGcIsAAAAAB0hgALAAAAQGcIsAAAAAB0hgALAAAAQGcIsAAAAAB0ZpYAy+ET6QAAAKCXQFf1xmKW7EDBAwAA+A7qWYlZsgMFDwAA4DuoZyVmyQ4UPAAAgO+gnpWYJTtQ8AAAAL6DelZiluxAwQMAAPgO6lmJWbIDBQ8AAOA7qGclZskOFDxAyOu0CXQqAEwK9azELNmBggcIVc3NzfT3gw8+6Nu3b0JCwunTpwOdIgAzQj0rMUt2oOABQtKCBQvo0z148ODo6Gge6vDee+8NdKIAzAj1rMQs2YGCBwhJMTExYhTp7t27099FixYFOlGu+uSTTygcbGxsDHRCAHSAelZiluxAwQOEntbW1m7duoWFhZWVlbW1tdXX19MnfcKECYFOl0s6Ozvj4+MpwX379g10WgB0gHpWYpbsQMEDhJ6tW7fSRzsvL4//pRiL27ECmyoXlZeXc8Nbr169Ap0WAB2gnpUYJTs+++yzBQsWxNnQAv3L6y9evLhu3TpaST/1SkpK6F/Pjo+CBwgxnZ2dycnJ9NE+fPiwWMlrmpqaApgwV1CaI20otdHR0R0dHYFOEYC3UM9KjJIdU6ZMefDBB9tsNmzYQP/y+oqKinHjxn1uQwt79uzx7PgoeIAQU1VVRZ/rzMxM5Uru804vBSpVrnjxxRf55mB5efnYsWNpoa6uLtCJAvAW6lmJUbKjR48e3333HS9/++239C8vU6R16NAhXqaFadOmeXZ8FDxAKGlqapowYQJ9ruk3mHJ9cXExBy72uzQ0NNxxxx0B71F+9OhRvjM4evTozs5OTnBJSUlgUwXgPdSzEqNkR35+fllZ2TfffNPW1lZaWkr/8vrY2NjW1lZePn/+fFxcnGfHR8EDhIzDhw9zjNK7d2/p5lplZaWyV5YSfXvQSykpKf5KpmN1dXWc+Icffpj+ra2tpeWsrKzApgrAe6hnJUbJjrNnz6alpfH3Di18+eWXvD48PPzChQu8TAsREREaB7Fo8vk1AIBf7N27lz/Ut956q/TS8ePHaf3w4cPt96Jfa/TSsGHD/JJGVU1NTRwa8qDz7e3tPLoE/bYMbMIAvIR6VmKU7MjJydmwYYPog0X/8nq0YAGApKOjY8SIEfShfu6556SXKGrhnuMUuEi7cBwT8GFIt23bRskoLCwUa2bMmGH8fmMATqGelRglO2JiYtAHCwBcNHz4cPpQHz9+3P6lzMxMeqmhoUG5kv7lRq+CggJ/pdEx+vVIyThw4IBYs2XLFlqzfPnyAKYKwHuoZyVGyQ4KpEpLS7kFa+PGjSKQ2r17t9pThG6VJQoeIJRwc5TUTMUohKKX9u7dq1y5Y8cODrBmzJjhrzQ6IG4Iiob5rkvd3jMyMgKYMADvoZ6VGCU7Pv3009zc3D42c+fOPXXqFK+/ePHi2rVreXys9evXK8fBQoAFYE4tLS30iU5KSnL4Ko8+umbNGuXKwsJCDrAcds/ym5qaGvsu7Z2dndwBH9NUQ1BDPSsxS3ag4AFCBj9FmJ2d7fBVDmJEP06WkZHBAVZycrJf0ujY8uXLHY4ikZeXZ9/qBhBcUM9KzJIdKHiAkMFPESr7iSudPn2aXk1MTBRreAqdXr16BfyB4iFDhlACjh49Kq2vqKgwQv8wAG+gnpWYJTtQ8AAho6SkhD7RW7ZsUduA77iJfk7cppWdnc0xVqAGROABGpSRnysvAQQL1LMSs2QHCh4gZOTn59MnurKyUm2DwYMH0wZLly7lf3la5eLiYm5AClRXJ/sBGpT69+9Prx47dszPqQLQC+pZiVmyAwUPEDJ4/j77G20CP6lHf/kxQzFBYXZ2Ni3U19f7MbH/P/sBGgQxvPvtt9/u/4QB6AL1rMQs2YGCBwgZ0h1Ae5s3b46IiODbghRj8fYtLS25ubm0UFtb68/UMkpGdHS0WrLFMF2BfcgRwBuoZyVmyQ4UPEBooACFPs5OJ3VoampKSkrikEWM6bBkyRJa3r9/v19SehluvtJI9htvvNGtW7fIyEiNwBHAyFDPSsySHSh4gNDAw3JOmDDB6ZYUY/Xt25dbhmbNmkVriouLaXnr1q2+T+ZlrFYr37UUc1Q4pHEPEcD4UM9KzJIdKHiA0EDxB32c8/PzXdmYu7eTf/iHfxD/lpaW+jSFdXV1U6dO/cUvfsH/trS0cCtabGzswYMHNXbcuXMnBmuA4IV6VmKW7EDBA4QGnrmvpKTElY07OjqWLl2am5vLvd33799P+y5ZssSnKYyPj+eojiKq3r17R0VF8Z1Kq9WqvSOP4NWrV6/Ozk6fphDAF1DPSsySHSh4gNDAk954Nuh5dXU17ZuXl6d7qgQK6TiioujKcsmAAQOcRleMZ6o+fPiw71II4COoZyVmyQ4UPEBoyMrKoo9zXV2dB/vyaAg+ne+Z72COGzeOlk+ePEkLI0aM+Pjjj13cvbS01H4iRYCggHpWYpbsQMEDhAZ+NrClpcWDfZubm2nfjIwM3VMlcEf1iooKz3avr6/3dQoBfAT1rMQs2YGCBwgB7e3tPIKoZ7tbrVafzkhDYR8nz5vZeHg+n/vuu0/HhAH4AepZiVmyAwUPEAKOHz9On+XMzEyPj+DT+Z65A76XjwEmJCTQQcLCwsrLy1tbWzs6OvRKHoBPoZ6VmCU7UPAAIaCqqoo+ywsWLPD4CImJiXQEF7ucuysjI8P7keJ/9atf9ejRgwPB8PBwWv7DH/6gVwoBfAf1rCSUs8NyuUAnBwC8xfMle9MHnGOg5uZmHVNFOjs7ly9fTkcePHiwLoMsHD9+fPLkyfzdddttt3l/QABfQz0rMUt2oOABQgAHMTt37vT4CDNmzPD4IUQNTz75JAdDc+fO1euYHR0do0aNomOuWrVKr2MC+A7qWYlZsgMFDxAC+Bk9b+7B5eXl0RGqq6t1TJXVah0yZAgHWDU1NToe2T8jowLoAvWsxCzZgYIHCAEcxzQ1NXl8BN3ne6boimfCycjIePfdd/U6LDt8+LCvB+4C0AvqWYlZsgMFDxDsOjs7uZXIm05OPJJneXm5Lkmqq6vj+aRdmQnHA42NjXxw3Y+s4fTp01223F61atUNN9zgowcCIPSgnpWYJTtQ8ADBrqmpyftBOLdu3UoHKS4u1iVJPO1gVFSUj6KQ1tZWOn5cXJwvDu5QWVkZnzEmJobD2Xnz5vnt7BDUUM9KzJIdKHiAYFdTU0Mf5JycHG8OomOvpubm5rCwMDExjo9ERkbSKfw2GpboTMaDRNDfKVOm+OfUEOxQz0rMkh0oeIBgt2rVKu/HLKitraWD5Obmep8e7s5F6fFp9MMRD9+284P58+fT6ehvW1vb22+/TcuUAP+cGoId6lmJWbIDBQ8Q7Hr27Ekf5JSUFG8OwpP9ZWdne5mY5ubmyMjI7t27+7qLEiXVF+NKqJGGseB5e1pbW/1zdghqqGclZskOFDxAsIuNjeXGFW8Ocvr0aV1aZbj5ypshT12Un59PJ6qsrPT1iRgPxCqe0+RxMfQd1QJCFepZiVmyAwUPENTa2troU9yjRw8vx0nn4/Tq1cvdHffs2TNhwgSKq8rLyxcuXBgREeGH5iuycuVKSvCOHTt8fSIWFxenbLIqKSmhf0tLS/1zdghqqGclZskOFDxAUKuurtar75Trc2dRMEdx1a233pqenm6x482UiK7jCaQp0PHDucRAGGINZ7uXDxaASaCelZglO1DwAEFtzZo19CneunWr94dKTk52sdv4z3/+cxFORUdH09+RI0cuXryY1zz//PPeJ8Ypfw7mbn//1Gq1+nmcCAheqGclZskOFDxAUBs7dix9io8ePer9oXjg9cbGRo1tOjo6KJiLiIjgWIqWOzs7Rc+kuro6b6brcYs/B3PnJwCysrKUKzkeFdn1xBNP3HHHHej2DvZQz0rMkh0oeIDgJTpOedkBizmd73nNmjU8BBRZvHjx66+/7v1JPebPwdz5hqB065N72fPkQn/4wx84W3S5VwshBvWsxCzZgYIHCF46dsAiBQUF2s/l9e7dm4fZ9FszlQZ/Dua+d+9e+9uR27Zto5UrV66k5cLCQg6w/Dx7DwQF1LMSs2QHCh4geOnYAYsUFRXR0SoqKtQ2SEtLow02bdqky+m857fB3MvLyy12EzXyfcOxY8dy+BVtQ0nCXUKQoJ6VGCg7Pvjggzlz5vTs2XPQoEH79u3jlRcvXly3bh39eouPjy8pKaF/PTs4Ch4geOnYAatLJYwQ9L0dqQu/DebuMPRsb2+PvITvFfLgWAcOHPB1eiC4oJ6VGCU7Tp48mZKSQp/Yr7/++osvvrjzzjt5PX3Ux40b97kNLezZs8ez46PgAYKU7hHPjh07xD0ve/rejtSFu4O5e9zWlZeXRyeqqqqS1tOPXr4zyJm2c+dOWi4oKPDsLBCqUM9KjJIdFFHRh9Z+/ZQpUw4dOsTLtDBt2jTPjo+CBwhGLS0tV199NX1+Z8+erdcxtQc+0Pd2pC7cGsz98ccf79atW1FRkQcnUovk6NcvrQ8LC6Ngt+vSaA6GauQDI0A9KzFKdgwYMGDTpk0DBw5MSEhYvHgxf4y7bJNjiDv958+f97inJwoeIOhYrdbp06dz20lhYaFeh9Ue+EDf25G6UA7m3t7eft111w0ZMkSMGSGh71LaOCoqyoN2LLV7ka+99tqoUaO2bdsm1mRmZtKWlJPungJCGOpZiVGyIyIigr5A/2RTUFAgflyGh4dfuHCBl2mBNtM4iEWTz68BAHTyzjvvZGdn89ieYWFhffr0OXXqlF4Hb2hooMNOmDDB/iUDdsDqunwwd76DaVEZXZ1+jnbr1o1ezcjI8OBErvemLy0ttfhlKkYIIqhnJUbJjtjY2PPnz/MyxViJiYliPVqwAMyGZ8Sj0Ip+a33yySf6HlxjvmcDdsDquvyeJgWaPEYXfUnaR4Fbt27l8ItCpfb2drfO4tYsjfxooWdhHIQq1LMSo2QH/VqluIqXz507JwIs9MECMKE+ffrQZ3b06NG+OHhHRweHIPYvGbADVtfl9zS56YhJvbIo3uJR1+n702FfdW3Nzc1qcadDPFrYLbfc4tZZIIShnpUYJTv27du3aNEicYvwnnvu4fW7d+9We4rQrbJEwQMEEe5t/corr/jo+OJe2BtvvLFw4cLXXnuN1xuwA1aXYjB3SjAHTzyegjSnDUVUtDIzM5NvKbrbz72urk6ja5o98Wih6DILJod6VmKg7CgrK6Pvjvj4+Lvuukt8Yi9evLh27do4m/Xr1yvHwUKABRCquLd1c3Ozr48fExNDCxEREeXl5YZ9OE4M5l5RUcFxlYi0GhoaxGYcldI23MksOTnZrbMcOHDArcEXli5dSttPmjTJrbNACEM9KzFLdqDgAYJI9+7d6TPrbi8i13FLFQ/7JHDfphtuuMFHJ/UGN7nxNNV876+kpEQ8XEkR4WOPPcZBGHdRT0pKsjib0FqiPTyYPW4wozx0/2ogNKGelZglO1DwAMHCrd7Wnpk8ebLoDP4v//Ivx44dmzhxIq/RcTwIHXGTG/eR4ga2lpaWiIiIsLCwjIyMHj168KtitLAlS5a425mMe3epDXBv7/jx43xH0t1rgVCFelZiluxAwQMEi6amJp8+ocZPwDERT4iVr776qo/O6w2+/We5NBoW42ctlZ544gl+qbKy0q0OVV2XYrL9+/e7uL0f4mAILqhnJWbJDhQ8QLBwt7e1u3jUAzJq1Chld6tGGx+d1EvDhg2z2IYPVfYo3717d2xsbF5eHq2kTKuqqhKXQ2t49kDXb7PyDIO1tbWup4ojPMz6DAz1rMQs2YGCBwgWHAD57lZdR0fHI488UlBQcO7cOR+dQnfcpyo6Otr1Dvjc6KUxWMOxY8coqBIbcL80Za95pzzYBUIY6lmJWbIDBQ8QLHi0zOLi4kAnxEBef/31SZMmPfPMM67v4nSwhrS0NO6Fxv3ieQwt+3lyNLg1SSKEPNSzErNkBwoeIFjwaJ/Kme/AA04Ha+BZC8PCwng4DL5t6tYpKAh2tys9hDDUsxKzZAcKHiBYFBQU0Af2wIEDgU5I0IuNjaWcXLVq1eLFi0eMGFFRUSFeam9v56EfyIIFC1paWmghKSnJrePv3LmT9lq+fLneCYeghHpWYpbsQMEDBIsZM2bQB7auri7QCQlu/KyAkrgb2HVp+p3hw4dzR/Vt27Z5MOZCTU2NxXhTN0KgoJ6VmCU7UPAAwcLXw7ibREtLC4/XWlBQwON+xcTEiD7y5eXltGbNmjXc4423dPfJTV8PqAHBBfWsxCzZgYIHCBa+HsbdPKxWq4hTU1NTKVdramr439zcXPq3urq6o6ODIiRu4lqyZIlbx9eYNhtMCPWsxCzZgYIHCAoYvtJHuKVqwYIF/C/lMP1LEVjXpUlvyI9//GN3D8vjR7S0tOicXAhCqGclZskOFDxAUMBdJx+hWIqHHqVgiGe5EZksRrEX4ZfrsrKyaEc6gt7pheCDelZiluxAwQMEBV8P425mPGxVeXk5P/0nbghS7BUdHU1rnnvuOXePWVhY6NYEOxDCUM9KzJIdKHgAt7z33ns/+clPlBOz+Ievh3E3s9raWh4ZiyMt5agNVNBuDTEquDtFNIQw1LMSs2QHCh7M4MyZM7fffvvevXu9PE5nZ2dUVBR9asaPH69LwlyHYdx9ip/Q5McIdJl4kd5sHvSOh5CEelZiluxAwUPIs1qtffv25c40x48f9+ZQRUVFfByqj/VKnoswjLtPcfxK4uLidDkgj6eVnZ2ty9EgqKGelYRydkiD7AU6OQA+RNHV8OHD+a0eHh7e2trq8aG4TYJdc801OibSFRjG3afofRIREUE5PG/ePF0OePr0aYvmhDxgHqhnJWbJDhQ8hLD/+I//SEhI4IG5ExMTaaGhocGzQ7322ms8g8qOHTv4XpK+SXUKw7j7FE9QSG6++Wa9jskHFEOYgmmhnpXonx0dHR2lpaXp6en01Ux/y8rKfvjhB93P4i4UPIQM+9YpbpPo3bu31WrlW2z0V7za1tb2wAMPuPKAGG0TFhZGuy9dupT+TU5OpuWmpiZ9068Nw7j7FI+CQX7zm9/odUwUGTDUsxL9s2PVqlWzZs1qbGykSIv+zpw504PB63SHgofQkJ2dTeHUzp07lSu5zWnx4sW0zEMcJSYmihaFiRMncp2q3amZtueakhw+fJjWLFiwgJarqqp8djUOYBh3X6O3AZevXnJycqjIamtrdTwmBCPUsxL9s2PAgAHKUX1pmdbofhZ3oeAhNISHh9Obedy4cWINt0ko+yxnZmZaLk2K0trays8DOh0Nkieni46Ovvfeezk4Ky4u9vMT+BjGPRjxIxHKQR/AnFDPShBgAQSTSZMmSeNwbtu2TRo4ip8UKygoEMvdunWzaI7TffjwYR7mW9m2UVlZSXvl5eX55lIcwDDuwWjLli1UaiUlJYFOCAQY6lmJT24R5uTkfPzxxx0dHfSXlnGLEEAvPEevsr2Kb9AoH7ujXzXcP72trY37UdGrtIu49yfZvn07D+QtNVbx3cbhw4f77nIkGMY9GNG7SwT0YGaoZyU+6eT+4IMPDh06lL7f6e+mTZvQyR1AL9nZ2cqRrtrb27nTktTznaMujsYyMzO7LjVl0bL9017chSshIUF6if7ll/zWIwrDuAejo0ePUqlNmDAh0AmBAEM9KzFLdqDgITSIfug7duygf2tqamg5KytL2owjFcadY+iXT0ZGhsXRIOk8sgP3kZdwdy6PB31wF4ZxD0ZWq5Wfqwh0QiDAUM9KzJIdKHgIDRwMia5Ry5cvd9gPvb29nftd9enTh0IrXllVVcX78igMAo9Q6nDwdx720/u5d1yEYdyDFJ79hC7Us3b0z47GxsZp06bFxMRYFHQ/i7uMkAYA74nPFHfD4gato0eP2m/JAZbUg4pHzBo9erRypUbtyE1KylG1fArDuAep9PR0p+OAQMhDPSvRPzuysrI2b9785z//WfcjewMFDyFA3IvhNid+yk/t1syAAQPo1XvuuUe58t5776WVRUVFYg33iE9KSnJ4EL4FmZOTo+NVaMAw7sGI3pY8Pu39998f6LRAIKGeleifHfRr+Pvvv9f9sF5CwUMI4HnfhgwZwncGuflKrUs4RU4UgYn7g4xjsvz8fLFGe7JePqPfutdgTPBg1NjYyK2qubm5gU4LBBLqWYn+2ZGWlkZfyrof1ksoeAgBYhQDjpOYWzfU6uvrpU7xPLWzxoN7PL6D9JRiZ2fnww8/rHtTE7ryBKlly5ZZdJ3fEIIR6lmJ/tmxa9euvLw8q9Wq+5G9gYKHEMA37HJzc/leIbOfmlADt0glJyeLNSUlJbRmy5YtaruMHj2aNrjmmmuUjWGzZ8/ms+vY7QbDuAcvbsQaMmRIoBMCgYR6VqJPdlic0eUsXqYw0EkA8BYPvrBkyRJavuqqq2h5zJgx7h6EP5JiyKv8/HzuzqW2/fjx43kX5WRz/fr10z3AwjDuQY0iY3fDfQgxqGclZskOFDyEAJ4Vh4eJmjZtGi2Hh4crZ6ZyBfdzEvfxx44dq/YcIquoqLDY5igUd+64GYxMnTrVwytxBMO4BzUe27a6utrhq83NzfYj3EKIQT0r0T87wsLCPN6Xfv2kpKQoC+nixYvr1q2Li4uLj48vKSmhfz07MgoeQgDPx8yjXpWWlnKU426XcB4LXnSfctjFSsIxGc8e3XUp5LLoPYsOt88tWrRIx2OC3/C9Znpb2r/EkxX6c84lCAjUsxL9s2Pw4MH/8z//49m+K1asePTRR5WFRF/l48aN+9yGFvbs2ePZkVHwEAKWLFliuTTsZ3t7O306HM4tqE051hTFVZbLZzZ0iEfDEnNF811Fi226Q/cvQtXKlSvpmD179jRaD05wRXV1tUVlRI9hw4Zxa2tbW5v/EwZ+g3pWon92PP7447feeuuZM2fcbW06ceJEenp6R0eHspCmTJly6NAhXqaFadOmeZYqFDyEAI6NNPpLuULZq93FWeQo4om0aWlp6ezs5EYvfuLP3RuUGqZPn85xm9ptJjAyfvDCYbCelJREL40fP97/qQJ/Qj0r0T87PO7kPm/evKeeeqrr8kKKjY0VNy/Onz/v9Ke2Rqo82xHAOHQZh3Pnzp10kOXLl9PygQMHLJcPi6WGW63Ky8s5JsvIyMjKyqKF+vp6bxKjxOHjddddJ43dBcEiOTnZ/rmH48ePcy2AyQpDHupZiVGy49VXX500aRI3eikLKTw8/MKFC7xMCxERERoHcRjbuRXkARgZT73scNJA1/GtHL7fx51jSkpKnO5VW1trsY3vwH2/KD7jeGj//v3eJEaJkoTmq6DGUbj0luD3GGtqagpU2sAPUM9KjJIdo0aNEj+F0YIF4JD0AKBnuEWBYjVaLiwstLg8lzOfne8PUhjEkZbDTs2ewTw5wY6fcl25cqVyJbd08l1Cv80aDgGBelZilOxQa3BCHywwGqvVGqggIDIy0qIYwsozyo7tXPm5eDnc1Z1QMtrb250OAe8unmAREwYHL54nYOzYsWINd8zq3r07v3l4CDcIVahnJUbMDmUh7d69W+0pQrfKEgUPuqDAggdU1Bj63Ef4+Q8Kbrw/lJiRhtsVXOyoTpVlRESExTaqe9elYauUs+54SZf2OQggekfxwxCiFx1H4QsWLOB2U+Uosq+88kpaWprU3GVmR44cufvuu3/1q1912T7swfhLA/WsxIjZYbl8HKy1a9fG2axfv175ZCICLPA/ikXCw8Pp7TRz5kw/n1rM9Oz9obitiLuruzXUAjehXXHFFV22rOBbP96nR3lw9HAPajwiA4+FS/Ly8sSdQf5lIsbgSE9P5wbRU6dOBSy5/rVx48ZRo0ZRZKlc+fTTT0+cOJFiTXH3prcNLfz0pz/18ozPPvtscnLy9ddf75+PFepZiVmyAwUPehk5ciS9nW6//XY/n1fZd8pLPOg237Vx64BUEyi/9zkk0mtuZjyMEgJSU1O5HNetW0exFAdV3ESam5tLy1VVVbxl3759ecvs7GxfTO/d1tbm5eMg9ioqKubPn//xxx97sO/hw4f5ehMSEsT10sqwsDBez3kl/iU9evRQ3r5vbW2tqamxD5W4z8DLL79M0dukSZPKysooS/v06cPt06ywsFAMQkbHnDNnzurVq7tsucTHPHbs2MqVK//1X//Vg0tj0hBL0IUAC8Bd/D2o7GjiHzrOJMMDlnKFJ4YPdQV9lSsHjtex15T9LNQQjB566CFRqUdFRVkU02Xy44Rr1qzpuvRrIcmGFihwF31tvUEh3X333UenKC0t5fvglB63jtDU1ETRD73P169fP3XqVG5tojDo/fffX7p0KV9Xz5493eqFSUcrLy/nXyMipqTIRrmyoKCAApTa2lr6NNFV0NkHDBggTkdhK11RbGws/XvnnXcqj0yfYjqImBtUEh8fHxMTw8u0+3XXXTd06FDxKn2VcVMZf6eJ9rMsm5deesn1a6QCpZAO9azELNmBggddUHjBX0PKjib+wWNW0Rex94fiKXf4W5UrPM9wiKbLwAqcsbrcAIXAam1tpep25syZIpjg9fwLgX+ZcLBVVFREAU3//v15Sx4uxLNnOGivqqoqEUwowwU6b319vf1kULRGOhePwdutWzeKacQRBg0a5DB2oXjCvp+AfeLPnDnDbd70jUGfuw8++IBjyh49evBKipyOHTvm8Iq2bdumDMsE+mGTkpIyePBgZWBE6aGIlqIougoKj+j4GzZs4PRQcfC9WhFphdkoj6k8lDB69Ogbb7xx165dyoS9++676enpUrvjsmXLeBc3yy3EmSU7UPCgC/oSF98+ut+A0Mb9hXV5Dotn/WM7d+70+Dg8uc2OHTu8TxJmeg4xbW1t3DoihmagHyTcBZ4qZn58lWe3fOWVV8S7kSJsim9mz57t+okohpg6dSq3ljE6xbp16xYuXKiMjSgx/IuI/z7yyCPh4eEJCQllZWUZGRnR0dHKG2oW2+zm4i/Lz8//6KOPKEKiuIef9uDDXn/99RS+bNy4cfHixRThjRo1SoRZ9HXBgZTl0uRUXbZGMs4Z5Uo1L730EiVs2LBhlE6KRyk8VQZ/ZODAgQMGDKDLoZNy25vaofie7LRp02ib06dPUwFZrdZHH3101qxZlAzKlsrKytraWlrJLdPKLKWvHb7DSFckEkA/9mjlqVOnlE1xrhecGZglO1DwoAsxxbLF74P6KGd69pLoDkLoK9Xj4zgc98gzPJCpw5nsIEhR7SvNRM5xFcf33bt3F23Au3fvvuaaa5Shg/Jt+eGHH86fP/8Xv/iF/SkoGqCwhnehyGzXrl30g0EMqciNQCIYio2NpSCD4gYplhIo3ho5cuTq1asp5RyFUAr//d//PTc3V+qcRBGJ6Ipuj9anpKTwPUrG00yJ3Tdt2sQrPXhmlpL02GOPUdyWmpp69uxZ13eksqDMcWWiT7p2igLpROvXrxeXQGfkMfAsirhTBGHcPod6VmKW7EDBgy54tHGuJ7y5ueYBOh2dlCoM7w8lbnRavBtcWzkovJe40sU4SaGtuLjYYhusweHbhkMHDrMoOqmoqOiyNZmI6rxPnz6ZNvRZKCwspC05eAoPD+/Xr9/LL7/s8KQUb1H0xtP4CPHx8enp6RTQU1hAH+dBgwbt2LHDg7uTp06d4kBqwoQJK1asoNBNRCEcf+zbt48uQWrt5uaihoYGd0+nPILH+7rl6NGjL7zwgrjDSBnOI/UrbzvSZfKs86hnJWbJDhQ86IJ/+9J3sUXRucQ/uGe6LlPT8PM+zJthS3V8sFE5QyKEKo7ImVoDML056W3A2yijIoe9kSy2O3dSO5kaq9V68803DxkyZNeuXV6O1qvU2NhI1yKe0eMTzZs3j2K+3/72t3qdJeDmz59Pgaw0cgT93qPI8sUXX+R/Uc9KzJIdKHjwnhgDXTkYut9wj3LutuK9xMREy+UDP3qgvb3d4uZIWmp0vAEKhkVRiAiMtIe3raio4M1iYmLoR0VDQwO92c6cOUNRC1XzeXl59HsjPj6eAia/JR6cjqaBelZiluxAwYO76DduVlZW3759RXcQCm5EwxUHKC7+dNaFvlP10e9OOtr06dO9PA7ngysdO7TpeAMUDIsCLL6px2PVaqDwi7d84IEHlOvpU+n9mw18BPWsxCzZgYIHF50+fTonJ2f8+PHi8Z/JkyfzS9ynm7tecWcsXUYocJG+M8lcc8013HnFxXly1HB3NNGt2GM63gAFw2psbOTPlCu31+lNVVFR4YsxSMFHUM9KzJIdKHhw0bhx48RdDB4bZuLEifxSfn6+CAK4u25paanGoXbt2jVz5ky95hTTq62IXXvttXyN3vS0JQUFBRYXnjZ3yv8BKwTEP//zP8+ePRszToYk1LMSs2QHCh5cxAFWdHT0uXPnuK+VeJ6ch4fhB4J4QKy8vDy14/BUfRb9pkPmo+lyqC5bf7I77rijsrLSy+PwuBXe953S9wYoAPgf6lmJWbIDBQ8u4nn6nnvuOf6X+yrV1taKDt38/BHf7NCY2kWMNUURm/ep4lAvMTHR+0Ppi4c/LSws9PI4Os66AwABgXpWYpbsQMGDi7hT0dGjR/lfnj2juLi4vr7ecvkUhHwDUfl4tkBBGG3JAZY0/YtnvXR5qj4DziTDI7B7P2KFvj3MAMD/UM9KzJIdKHhwkVTTcwCRmZnJAzUVFRWJLWmltEbgdh06FAdhYh40iq7GjBkTERHBgyi6Tq84Rnd8JzQpKcnL4/AoR36e3hEAdIR6VmKW7EDBg4t4XGbx7BJV+RwkcS9s5cx9V111FbdRSYM1tLW18XiklZWVfMNR9N22Wq28i7uDc/JMMrm5ud5dnE/oEhvp28MMAPwPH2FJKGeH5XKBTg4Egc7OTvt3C4/wyZTjEWzfvp1XPvTQQ8rt+a4itzbxsnjYkGIvnr2rd+/eDu8tdtnahChYoZTQeWkz7g1m5JlkvO8+xTdANTq0AYDxoZ6VmCU7UPDgCoddnXhiHCaNyvPMM89YbJN4iMFIKQLjFh0e/oDnBhFzGPN9RubwyTu+txgdHS1G4Ro1alTX5UNwGc3QoUMpbevXr/f4CDw3ogF7mAGA61DPSsySHSh4cAVPrqfsyU6ampo41hk+fLj9LjzHS1xcHEUJVVVVfIdR9OLie4JiUh3utsXNWrTSvhFr5MiRIgLjW5McnBl5JhkecTslJcXjI3APsxkzZuiYKgDwM9SzErNkBwoeXKFW0/ft29eiPkoCd8/q2bOniI1oe9EniSesbWxsPHr0KB+EXuKJ6FeuXKmMsShEi7BZvHgxrVdOpVxUVGRRnx83sG644QaLYjhWD3APM9HOBwDBCPWsxCzZgYIHV3BXJ/tRnTIyMjhycjj54NmzZ8PCwvjWHh2BYinlnUQx/jvPBlNcXNx1qamMQzGxMW8g7gN2dnaKHvd6DZjuCzwkmMYNPko/Dx6mxsg9zADARahnJWbJDhQ8uIL7SC1fvlxaf+TIkauuuqqkpMThXq2trRRaWVSGbODuUxS0cbTU1NTE69PT0znGeumll7pszVeRkZG0jXKULB7mtL6+3uADnUujUSi99dZbMTExAwYM0Bj9Sy3bASCIoJ6VmCU7UPDgCo+7Oh09erSiosLhg4E8QilT3nx8//33eXpBik5E+5bUjX3lypW0cseOHTxsKc/SY0DSaBRKHBqSmpoatd2N3MMMAFyEelZiluxAwYMrli9fTm8Vd0cB1dbe3s7PFVpsI2NJL3Fcxbp16yY184iJaAw+0Lk0GoUS9+u32A1moURhJW2wbds2X6YRAHwL9azELNmBggdX+KirEw9JGhMT43A0zieeeIJDkPT0dOkl0c/d4AOdS6NRCBxccuKVg1lQHLlhw4bXX3+d/+Uoc//+/X5NNADoCvWsxCzZgYIHV/ioq9OIESM4hFIbjfP666/nDvLSetHPnQMUfVOlI2k0CoFnvM7KypIGs+jduzdfFI8Wxo9hOrzDCADBAvWsxCzZgYIHV/D9LN27OlVWVlKcNGbMGI2H6dRe4n7u2o/pGYEYjUK5kuMq7ljGUVR4eLhFgSfVNngXfgBwBepZiVmyAwUPrvBdVyeP7+5xP3eL+9MX+pkYjUK5kmcZ4qap9vZ2HswiIiJi165dPGUQP3jo/WQ7ABBwqGclZskOFDy4gkOZQKfiMtzP3WL4gc55NAoKB5UrefgG0XP/gQceiI+Pf+yxx7ouNWjx0KkG78IPAK4w2pdnwJklO1Dw4FRbWxsPmhDohFxGDElaUFAQ6LRo4dEolLMMccozMjIcbs+BY15eHi0bvAs/ALgC9azELNmBggenHM70HHCin7vBBzrnBwYjIiLOnj3La3j4ULVkc794ujSKqwzYcAgA7sKnWGKW7EDBg1PcBpOVlRXohMjGjRtnURkm3lCGDh3Ko3m1tLR0XRrzQmNQsezsbIttGFX6m5yc7MeUAoD+UM9KzJIdKHhwiqcczs3NDXRCZNdeey0/f8eBi2FNmzaN26KUPas0uq5v2bKF+5YZsOEQANyFelZiluxAwYNThp1y+NFHH+VxsAweYH388cf9+vXjfmxbt251ODKWUlNTkxivweBd+AHAKdSzEqNkx+9///tZs2Z179594MCB991331dffcXrL168uG7dOvqajo+PLykpoX89Oz4KHpzimKC4uDjQCZF1dHQcOHCAx+Q0OGnyn6uvvlp7+4yMDN7SfhR4AAguqGclRsmO2bNnHzp0iL6d//SnPy1btmz+/Pm8vqKiYty4cZ/b0MKePXs8Oz4KHpwqLS21YMphPXBbIElLS9PeksJZ3tKADYcA4BbUsxIjZsd3333Xs2dPXp4yZQoFXrxMC9OmTfPsmCh4cAoz4ulow4YNgwcPfu6557Q34wcLyPLly/2TMADwEdSzEiNmR3V1teiQERsby2M9k/Pnz2t36dCAggen8vLyLJgRz786OzvpQ03Zvnr16kCnBQC8gnpWYrjseP/996+44oqTJ0/yv+Hh4RcuXOBlWoiIiNDY16LJ50mHIIcZ8QIiJiaGsn3YsGGBTggAeAX1rMRY2UF1W2pq6jvvvCPWoAUL/IaHFWhubg50Qszl6quvpmzPz88PdEIAwCuoZyUGyo7KyspBgwYdO3ZMuRJ9sMBvEhMTLYqJ88A/2traamtrMU8OQLBDPSsxSnZs3749NTW1qalJWr979261pwjdKksUPNg7d+7chg0bTp06xf/iVjIAgMfw/SkxSnbYd5lqb2/vso2DtXbt2jib9evXK8fBQoAF3rBarQkJCfTGiI6OpjcbT42XlJQU6HQBAAQl1LMSs2QHCh6UKJwaPny4iOarq6t5VPGMjIxAJw0AICihnpWYJTtQ8MA6OzufeuqpwYMH01viyiuvzMnJsdgmwqupqcGELQAAHkM9KzFLdqDgTe69994bP358ZmZmz549udWqX79+VquV4q2srCz6lxu08vLyAp1SAICghHpWYpbsQMGbXHJysrghGBYWRn9XrVrFLzU1NXXv3h0TtgAAeAP1rMQs2YGCN7Pa2lqOn5KSklpbW+vr6ysqKvgpCsbTPKMFCwDAY6hnJWbJDhR8EDl27Njs2bMrKyudbvnBBx/MmjVLewrwjo6OjIwMegOUlZV1dnY63OaTTz7hACs7O9vDRAMAmBvqWYlZsgMFH0SSkpKovKKiotra2rS35MgpLCxMDPdvb8uWLbRNZmamWnTFNm/ePHnyZDEmFgAAuAX1rMQs2YGCDxbidl5MTIzTjfv06cMbUxRl/ypFVLQ+MjKSNqivr/dBYgEA4P+DelZiluxAwQcFcTuPabRLkePHj9M2sbGx9JeiKIrMeH1NTc2gQYOGDh3ao0cPPs7VV1/tl+QDAJgX6lmJWbJDu+APHjyYlZV1+PBhv6UH7LW0tCxbtoxv5+Xm5tLC3r17Nbbne39FRUXl5eW0EBcX9+GHH1ZVVXXr1k2EaOHh4fT3kUce8dtVAACYEwIsiVmyQ6PgOzs7o6KiaIPExER/JgmUrFZrREQER0X19fUUWjl9po/Hr6qpqaHlefPmifEXCB1q8uTJbW1tFLQhbgYA8AMEWBKzZIdGwZeUlIjWjubmZn+mChhFV4sWLeJSGD16NK+h5e7du3d0dKjtotzgyJEjvHt0dPT+/fu1+7MDAIDuEGBJzJIdagXPXaojIyMnTZpECwsWLPBzwkxu7969UVFR3HZFf8ePH3/27Fl+KTs7m2cJVNtRKq+ioqIxY8bU1dX5IdkAACBBgCUxS3ZQwc+dO1fZabq5uTktLY2r9vLycqvVGhcXR8uhd0eps7NTrR0o4HhEBrJo0SKp+VB0sXK4Y15entNOWgAA4DcIsCRmyQ6uxfv3788tHBROTZ8+nVeOGjWK7yjxcN5OB0wKLnSlqampFDseOXIk0GmRUURFAW5YWNj9999v/2pTU5Nax7gzZ87wE4ItLS2+TyYAADiHAEtiluzg3jkcUQ0cOJAfNKOqffDgwWJsSTFGQEVFRWBTq6Pq6mq+6vj4+MOHD9fW1rbb3HLLLWPGjFlnU1BQ8PLLL/s/bUuWLKGErVmzRm0DLg5pCKvW1lYuvrS0NJ8nEQAAXIMASxLK2WG5XGdn57Zt2/hBM/pLtbt9l/ZnnnmGh1ZyOoZ4sDh37px4Oo/16tVLzG2sFBcXN2nSpJtuuqmsrGzjxo0LFy4sLi4uLy9fvHjx3Xff/cknn2ifiMLT/Pz8yZMnv/766/Sv0wykzI+MjKSUWK1WtW0oAZSwkpIS5conn3ySE4xpbQAAjAMBlsQs2SEKfsaMGbR81113OdysqqpK3DdUTgasFFy3pXbu3MmxCAWXPCgUi4qKio6OLioqGjZsGP9rH3JJUlJSKB6aMGFCaWlpcnIyBWQrVqxYs2YNHZziqpiYGLHloEGD6C+t5DTY9wCjYJcfG9RoviL19fW0TUZGhtiLAj4emZ0Sc+bMGV/kGAAAeAABlsQs2aEs+KamJrXNRIDFQYl9jHXLLbfQS4sXL/ZVQvWWmZlJCeaJk1955ZVrr732Zz/7WVtbGwUrfHVWq7WioqK5ubmuro4vPD8/n+/N9erV60c/+hGvFDdYNVCURtGPMtKKjY3t3bs3hWVLlixZuXLlpEmTCgsLS0pK+HmCbt26aTRfddkiM74bSLuvXr164MCBFtsjnxRmhVI/OQCAEIAAS2KW7HCx4Knarqmp2bNnDz/d1r9/f1oWr1L4xY1AERERVMeLu2AvvfTSXXfd9d577ykP9fbbb1Mw8e677+p4Fe46evSoxdZP3MWnCI8fPy4eAti2bVtjY2OXrRmJLpyisQ0bNlCGzJo1q7S0lCIwyqIVK1aMHTvWYuvWJoI2OhfFcGlpaeIJQTUTJ050Jf1KYWFhagM3AABAACHAkpglO9wt+KamJnFDLTY2Ni4uLiEhgf/t3bu3aNQZM2ZMeno6/6uMuigiEWM7KUOxZ599ds6cORSXlJWV0cLNN9/80UcfuZ6qN9988+677163bh2FOFOnTp0+fTpHdWrNOdyLvLi42K1rdwud+vDhw2o9rlpaWiggo2hs9erVPPA6hWiUIZT4cePGOe3XRQefPXs2BYhFRUV8b1fcLgQAAENBgCUxS3Z4UPBUtdNeffr0Ec0nPXr02L9/f5etpYdbbhj3ChK3yfr16ye1u1CYFR8fP2TIEIcNObQ+OTk5Pz+fIg8KiQoLC2lh+fLlFJFQYEGhGMUWkydPFpGcZNCgQd26dVu1apWUfgp6uDO7xi1RP2toaPBmRC66EMMO6AUAYHIIsCRmyQ7PCp5Dk3fffTclJYVioPfff1+8RLEChTUUWu3du9dqtVZWVr755pvXXHONCMUqKiqqq6uPHDkiVlpsvY44ohJ9m5Q9lpziSC4xMXH16tV0KIrbeDgoi+3embKprOtS93YKzrzPPQAAAG0IsCRmyQ5fFHyrjXJNc3Nz37594+Pjjx49KlZS+EUxVmpq6sGDB9vb22tra7kZ5vTp09wkc9ttt1HyuAM4R0sLFy4cOXIkLQwdOnTFihUUV4WHh+/YsYN2ob88ugQdis5OuxcXF8fGxvKOfNeSO34pu7cDAAD4FAIsiVmyw28F32nj7l7iccXq6uqqqio+SENDAx+KQjSnY0McP3588uTJoq0rLS3NYus9hntqAADgBwiwJGbJDjMUPAVhvXv3Vt43jI6ODnSiAADAFMxQz7rFLNlhkoLv6Ohoa2ujv/Pnz6dLpr+BThEAAJiCSepZ15klO0xY8MZ5eBAAAEKeCetZbWbJDhQ8AACA76CelZglO1DwAAAAvoN6VmKW7EDBAwAA+A7qWYlZsgMFDwAA4DuoZyVmyQ4UPAAAgO+gnpWYJTtQ8AAAAL6DelZiluxwfb4/AAAA8ECgq3pjMVF2GLnsjZy2LmMnz8hp6zJ28oycti4kzwtGTluXsZNn5LR1IXnBxkTZYeSyN3LauoydPCOnrcvYyTNy2rqQPC8YOW1dxk6ekdPWheQFGxNlh5HL3shp6zJ28oycti5jJ8/IaetC8rxg5LR1GTt5Rk5bF5IXbEyUHUYueyOnrcvYyTNy2rqMnTwjp60LyfOCkdPWZezkGTltXUhesEF2GALelx5D1nkMWecN5J7HkHUeQ9YFF5SWIeBj4zFknceQdd5A7nkMWecxZF1wQWkZAj42HkPWeQxZ5w3knseQdR5D1gUXlJYh4GPjMWSdx5B13kDueQxZ5zFkXXBBaRkCPjYeQ9Z5DFnnDeSex5B1HkPWBReUFgAAAIDOEGABAAAA6AwBFgAAAIDOEGABAAAA6AwBFgAAAIDOEGABAAAA6AwBFgAAAIDOEGDp7+LFi+vWrYuLi4uPjy8pKaF/xUsffPDBnDlzevbsOWjQoH379rm+r8YxQ4naZX722WcLFiyIs6EF+tf1fU2SdV22MXKYcqUrl4+s61LJvd///vezZs3q3r37wIED77vvvq+++sp+R+Sew6xjra2tKSkpaqM3IevUsg41RWhAgKW/ioqKcePGfW5DC3v27OH1J0+epO+aAwcOfP3111988cWdd97p+r5q60OM2mVOmTLlwQcfbLPZsGED/ev6vibJOkH6snbl8pF1gpR7s2fPPnToUHt7+5/+9Kdly5bNnz/ffhfkHnMYRa1YseLRRx9VC7CQdUzKH9QUIQMBlv6o+qcvZV6mhWnTpvEyfU527tzpcBfxAVPbV219iFG7zB49enz33Xe8/O2339K/YhdknUT6sta4fGSdPY2Rsukd2LNnT/stkXvMPutOnDiRnp7e0dEhvYSsk0j5g5oiZCDA0l9sbGxraysvnz9/Pi4ujpcHDBiwadOmgQMHJiQkLF68uK2tTewiPjZq+6qtDzFql5mfn19WVvbNN99QppWWltK/YhdknUT6sta4fGSdPY0Aq7q6esaMGfZbIveYfdbNmzfvqaeesn8JWSeR8gc1RchAgKW/8PDwCxcu8DItRERE8DItFBYW/smmoKBgyZIlru+rtj7EqF3m2bNn09LSuLMCLXz55Zeu72uSrBOkL2tXLh9ZJ6gFWO+///4VV1xx8uRJ+5eQe0zKuldffXXSpEncB0gtV5F1TMof1BQhAwGW/jR+W9C/vEyfnMTERLf2NcPvErXLzMnJ2bBhg+iDRf+6vq9Jsk5wvQXL6TZmy7oulVCgrq4uNTX1nXfecbgLco9JWTdq1Kj6+nqHLwnIOmb/mUVNERoQYOlP7S54dnY2fVp4+dy5cw4/Nia/s652mTExMWp9sJzua5KsE1zvg+V0G7NlXZejUKCysnLQoEHHjh1T2wW5x+zvA0rsd0HWMSlzUFOEDARY+tu9e7fD5zj27du3aNEi0fB7zz33iF3EB0xtX7X1IUbtMulbo7S0lFuwNm7c6LCntsmzTpC+rDUuH1lnT8q97du3p6amNjU1aWyJ3GMa3dfU+mAh65iUP6gpQgYCLP1dvHhx7dq1PGjT+vXrlSORlJWV0c+R+Pj4u+66y2HXRbV9NY4ZStQu89NPP83Nze1jM3fu3FOnToldkHWCwwYDjctH1ik5zD37Zpj29nbxEi8g95y2VKkFWMg6taxDTREaEGABAAAA6AwBFgAAAIDOEGABAAAA6AwBFgAAAIDOEGDpT22CWI1pOB32D3XadVT7sK5MkOz92QEAAMAeKk79qU0Q63QaTrVnbbR5M0Gy92cHAAAAe6hEfUs5QazTIeA8C3E8mCDZIQRYAAAAekEl6lvKCWKdTmJgH+IkJiZSYJSZmfnEE0/89a9/dXgKDyZIdsizswMAAIA9BFg+JE0Q63QaToeNRj/88ENDQ8O0adPWrFnj8CzeTJDs/dkBAADAHgIsX7GfINbdFiylL774QmwvdTx3d4JktX7rLp4dAAAAnEKA5RMOJ4h1tw+WUktLy4ABAxy+5M0Eyd6fHQAAAOwhwNKf2gSxTqfhlEKcgoKCxsbGv/zlLydOnMjJyVm1apXD03kwQbJDnp0dAAAA7CHA0p/aBLHa0+7aDzp18ODB0aNHR0dHp6enP/jggx0dHQ5P58EEydoJduvsAAAAYA8BFgAAAIDOEGABAAAA6AwBFgAAAIDOEGABAAAA6AwBFgAAAIDOEGABAAAA6AwBFgAAAIDOEGABAAAA6AwBFgAAAIDOEGABAAAA6AwBFgAAAIDOEGABAAAA6AwBFgAAAIDOEGABAAAA6AwBFgAAAIDOEGABAAAA6AwBFgAAAIDOEGABAAAA6AwBFgAAAIDOEGABAAAA6AwBFgAAAIDOEGABAAAA6AwBFgAAAIDOEGABAAAA6AwBFgAAAIDOEGABAAAA6Oz/ARcfjaCIrNnvAAAAAElFTkSuQmCC)
| VMR Tools created by Darren De Zeeuw. |