Demographics
The demographic and clinical variables of this study are given in Table 1. No significant differences were observed between groups for both age and gender. Similar overall global cognitive impairment was displayed between the dementia groups. However, the AD group displayed significant differences with the DLB and PDD groups in lower CAMCOG memory impairment and NPI hallucinations when utilising a Bonferroni correction (p < 0.05), which is displayed in supplementary Table 2. Additionally, it was found that AD patients displayed a significant difference in CAMCOG total score when compared to DLB patients which is not seen when comparing the AD and PDD patients, which can also be found in supplementary Table 2.
Table 1 Demographic and clinical variables for HC, AD, DLB and PDD groups, including descriptive statistics for each variable.
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ev4q4edOZ81NhrPI6zniUT6GE+0N/NjTqp9d+FR/9d2NCRxCLHOn6EC32MdbGt40bn6Xv2d+3KzGCjjrp71bWDSy7o4gKxGbWLlz5Ro+OiRAt7WwRjb16wv0e09uan27Vi0SbHuP+AfRJpxpDr5JNzX7EUI/Qw3vsMNV/5JSGrRHYvbn2ToGiLceyMsaMFsfa+tPe1oeOIEZ2dfuzoq7tE7PaQb5kH6IOUkEcczxAtx+AreSbGmXP4xXxXLMWBMeSTvlWdFafEJ20yr/qcY145osWkeuPPmzvtLrQpA+D1L/LRQiOoqz4eAiR3V5IAcBNGlppCXckWCwhteeEp43gvJvKhFtq6BTRzifwZEa3Upy81rzIm5bcwUIa6xoxuPlv+7Mkwtn6VypjEkONKPImDtg8//PCFPn3G3yRaieEoHsdZz5CJ1MNiRTy5qHS7H9V/SRf60DEiWh0uOdY5yj8IchE1Nmvlq0zX7rgZbNBBnlbdLEBcF7Ud3SxMzKuLs7F17fqDzkog0OP4mXlBB/PiYlrnoZ5rO+skWsRuHvOHD7lADiZpdGwSIGXto7bfXSPJR35Vh38SrRlfU38egwO51uGQshwzNylvP+2JJ+3cl/Bxa4cI35NYcC5RynlGB/OrrNjmzk/aBLvUncfI5Y4W+OK/JCn7jG+vHuG4R47Eh501uAOkrfqJXTGRCO75cir9mztaJBkfCpMt6eJG440eYCRX2e4YCdmpAHJb/OxIRs4jsbrwcCFQmM89slPHiBm5IgGzjRqbHdEij7xpW3e7Vuqs9mtMynUY2G+ND5nn5myHBfb2ZNDpNaId6y08iE0cKglzvGRTOerEPeNxTNYzZAL5Tg/2yRExS934LzFIQoAMeI6IluP3cEGvu0jmwIjUoG9rkcRvF1ttW89gU3VnzCMyge6USVy6dv2xBpvRjpb91DkvGd9oYcx52JsXdCfRGn1FiH8jopX+4UclqBIr5xFfICzImUfmOdgiL+lK3bRX+ZkdrZEu9BpPJTfEwHWR+OqHsbjzY7s1sUmeaGO+Rlgqzy4WueoHm+hgN01MqPmtVOrOY3QlmcLH3K3yh/7apK4y2Eg5MEiyVu2lrjwe6UU38yqxQtceaUudp3LcEq3RzRxQuDEABjcLzvm4oNBnG3Xe/E8FkNviJ/iPSl08mcskVtxgJBGj8bShg7muhRuCuVD7Zs6rL92YaqfG5LgOA/upidc/IDhHV+Ywx5X47clU/9KeNkfEE0zzmuG8I1upM8fVeFLO4xkyoR53ThxrrU0XSNprm/6rg/nNBV5d1tgc4TLSja69RVK7qX+PDOxhg49bOliEmMOKSxIMcGF3kN2tlLW9+o3/2N0jWuKUtmir5KBitzcv6NgjWjM6qh/orb4QJ+Qj8UuZPfzR2ZU6VmKUthxbyTTttHHtj0gW/aP41EdNHO5gca4/lcw5Bv/ItTfeeOPZf3DQBjtSrNFcA6MdrSQrxgkBFN+ODGp7q4a4oV+/U//WOHzfI2hiJPHa0ndKfS3R8qbJZFpse+edd4Z/zTKJe4u0ulZ9XARGJIP5SVKhBxADyYWkgoRnkWfOGUe7MshT6LONupKC1KtcldEHamyySGBP2yM7SUa6mBiHzb3SkTTG6Q91V6oM+vhcpFSCthVb6scec0HZiscxe2RiRk/1lTG1Df+TlIAV593Xjvo3qhmbxArd3GtmF0l0jhbPamsPmz0dLoS5GNc2cYE4MV/K2j4iWtXP7rzaQq7qJVeSjM3Myx7RYp1Ap18BYpcFGDzz2v/5z3/+ghw+K8d9puZHzj2+Mwdi1uHQtTNWW9xjsOV/YFCneEkkjCV3gowpa3d9kgCpEx3EAUHhP7I4zv+5N/JXPdzvJEbocEcLrNBViRa6ElNkuFbUkX34wf+C9avEkR+jNv+HIOPBEaz0zZiY/8RMfNSHvDt8xurcoLfKO+4U65ZojW7YAMNCzf8OA1yThdobfV1c0bPK9SPAnLzqZQ8Dbqgj4ilu5PuI+NlPrQw110BeExwnKazXBv1cR4xV1+i6op92rzH8HhHfvXj0m5tZLgC2W6snF3xs503QnRh8Y6Gi3+PEgEXARTjbHY/NDpe0r5w+uCBrEzsUfE9yd2jcaLffegubke6KC/OE3+mXxxm/i6O/e7PPOPSnLorIaQOZal9ctam+SjDwcW9e9IFaopVt9RhfkzjWfs7BsO5YjeS6NuIgpq387cZeV3sXI3MisbguX5adm4FAS7S23ONi4gK3cLwIlWjcjJob8qteFgbjDNgiE+MRr07rwmY81zNECyKRu44jTezi1R2rkdyobUb/aNx1t3UxLqJ13TNxc+xdiGhBrPwLjJq/LmHxq9wcBBbJmPvq8ObM2PV5sshEj/XCZozNDNEaj1ytC4GFwIWI1oLt5iOwiNYiWl2WLjLRITP/wNJew+3sWUTrds7riup6EHiBaOVO1Tp+/t2AC4+Fx8qBlQMrB1YOrBxYOXCRHHj69CnfBq7f9VwPvz2+lTWXa0ery7K1o9Uhs3a0OmTWjlaHzGpfCOwj8MKO1v6QJXEKCCyitYhWl6eLaHXILKLVIbOIVofMal8I7COwiNY+RicpsYjWIlpd4i6i1SGziFaHzCJaHTKrfSGwj8AiWvsYnaTEIlqLaHWJu4hWh8wiWh0yM0SL53I9fPjw8Jysf/7nf+5UrfaFwK1AgHz/27/926lnui2idSum/MUgFtFaROvFrPiyZRGtDplFtDpkZogWDyzlMT8SrvrA2U73al8InCICPBft0aNHU0/VX0TrFGd4wudFtBbR6tJkEa0OmUW0OmRmiJZjWYDY2Rq9HkmZVS8ETh0B3vn47rvvHt4EsRfLIlp7CJ1o/yJai2h1qbuIVofMIlodMrNEi90sXrFz0ae/d/ZX+0LgpiFwkkSLv4LefPPNw7bzTQP0FP15WUSLeeT9gNQvu7wsDIz7JmGhT9Q3iWiB0d5rW9L3Yx8vbMYIzxAt5vJ73/veGS+OXmUhcJsRePLkydl3vvOds69+9atnf/7nf/7shd1dzJs7Wry/sHuHIS+CzRfmpoGLLDDo0xZ/FaGbhdJPvlsxbV3F8UX8vQq7x9RxTJKR8+OcZSzMJZ9Rqa9vws8uj0bjz9N2TAzSjy08trBIHRwjywuDycdjlmOTCfznxc65qwFGEHDmhJzJlwLPYETe4DfjfVHyMTA6JjYVl8SEuHxRdsbF757AJ/HKfn4Txc3+2LhItOqLo42BOXnrrbcOu1l8bfj2228PvzrE33zp909+8pPn5rWL05h5qXTF4zIvmsafO3fuHPB7//33Dz6Tp+Yac/LTn/70cE1exR8Eae/v//7vn81r127c4MQcMM9+Xn/99WcLPLn17W9/+7lrzrHXXePLdb48mxxkbpiz9957b/c3U3/zN39z9vWvf/3s3//9359Bg8+/+7u/e5hrchCdxIDO73//+0OdjLn0b7Qw9N3vfvfsG9/4xnMvkMYzkuLevXtn3/zmN4eLAg6cZ1dDW+il1PNnaBzp4Lz+HsmNK1XLxXiMAlbMu3PFTa+SLfrIHeZxr7CAnjLR2sNjFgvktq6pPRzP039MMkEukHtJGsAoiZc546IqRt1veuhnEUceXV/72teORraOhQ1kAN0Vl73Fm9j5Km6ETfZxDOE6FgmVaNW5hABwrx/5N8rJJI74zAuY67yaF3U89xNJEHEqd1GihS/Vd+Lr5iR9r77NnNf5guARR9dufCPd4v6rX/3qLHMLUviyCxheF9HC1m//9m+fSVp/8IMfHNajL774YggDX/exE8UaJtFijNfmv/zLvxzuMUm6IGZgXHVi+8qIForqQsjN9MMPP3xGptyl4CZC0uBAJVpcJO5ScaPNwphcmDui1enAHl87sp2HDy782OGmn/aqr/hR/e3spM83/fhYRIu5SoINnuItJuJH31aZldvSsdV3LAzS5h4eMzEiQ/5//PHHL1w3aeuqjo9FJvSP6ymJFRjlLoY540JC/Nwv9vIF/eeR1Z/z1MfEpuLCebeo67PxzhAoFgPudeKqjquoJVrocpHnK8Kc5z07xNL9fivj7Px3vGuS5O4iRKvDvmvPuCE3V1G6+eratQkO5E2STfw+z44W8uw8Pn78+LCjx076L37xC008q0e2mH98hHhwTG6w7kLymDt0S7TyGKUQHXJADNXPdcduVDf3zxwqB+mL+sGhi4Wvthmjf6rDT8kV9yt0SMSqDcfg+2effTblc/vVIUq4+UNeqDFOwSFuipxTszjw16Z9LMJ1wWBM3QVJ8sNCnTdZbWszddvGeHWgn0SREKJPgmUf+hlbfaXNmKj5bPl6CPQE/jkmyQBf8IZsd191uZhuQYWMc7Yld9G+Y2KQPu3hsYeFuZx5mPqv+viYZAJfiaMuwNyYM2fqf/0Xo70bLViRMy6yp4RNxYVzdufI09zpqjHNYKOuGUJW9c+cJ9Hi/sy9H7/5um1vztSPjx2xHO0uOc4auyzSkAPsa5vcStLBwkiO458fvmbLnEEGHQ8ePDjI2o+PfK3knOQOEWsFeZ2LOHrARjvU+ZWevtdaO+k3Ml17jtd3yYrjzku0iJNrCT0jndpkbrjHuaPDDhB+gwc7krTjN/b9mlUiQ7vH6EuilWPIodGO4R6+dbep6jQGamS5f3DvSZ/oY5xEC1+IkWvzRz/60QtfM6bO2eNdogWYOAfQlK1FgQuBicvdLsZ4o9ApdLqDRYAkPLVFPSYvNyH+itEH5LZ0VHuMw+8s2kA2fahj006Ov+nHYHesAkbOTUe0EtPOj9G8dLIXaT8mBunPHh5bWGR+bcmlvcsevwyiBUYufuRMJVrE3i3CxJvjt0jJTcaGGCsB1V/uR9wHuU9V4rKHDTogG1xPdaz6L1sn0UIXiyLzWYnClh1ynfhz7llIzYu9eQUjd8RSVyVaWz7Yp139l2gkGcMeOSmhYx7OQ2a0Naq7+eraUwckoObJeX1DPsmG4yFKzK3kkV2mJCbgDgZJNvFNrMAz5audJFpgTrwSuOzLeLeOJU/qyDjyWkA3u1mQyuoT+mlLooVvX/nKVw7rHPcrd7e2fNnqmyJaOFF3qmjjxgDwOOLCSz0iWtmfuxgkTBIonGXScheNtlzM0JU69IVa2dTpgk5/9RW9OX7LzkH5ifwDRsco4JPYcw6mYp82xT3bPCZvyKnROGUuWx8Lg/RrFo8OC9rz2uCYBQd8jlWum2iJkYuYOZMLLrFy061/EI0wQIYcVN9I5qJtx8SGXO+IFv6CC/fUUVxik4uHMbrjMOpT5rJ1Ei1ykzhYjCpx2rLjuDrvjiGOLn5kkmhxbtxcQxIm2vFL8ua15Y6VtpBJW8zNiOgr5wJdZeiXlKSt3G3SprV+1/nq2h1HLYaV6OD/eUgg8km0wBYiwn9gqX5hV3LHtccHGXS4+2fs/FbqPEQrsRvtBO7hO9rRyrjEDv9rTnCf5TdZxiLR4jpknv/zP//zMBwf6o/n1TtbTxEtlLkgUFMAmURl69A2JosbYCVaJIc7WOnYiFDRP2rvdKQv+EQBKH3inGMTxHZ9RdZYqLfsHJSfyD8k/jEKOIoh+sGrI0xbWDonx/BRncfCQP3Us3hsYaG+zEPbjlEfk0zgL3EkoRAjb+BgMVqgxWhENBKHqi/7Lnt8TGwqLtXXrYUWbNjNqdjM7IBUOxc5l2hx3+S+L7E5j/3LxI/P2HZHi3P18R+29Gc2NsYmaerwzTkxbyvJmbWJXIdX1151S3i8luwnnvMSLeT9XRU7PqOdKvVDNrhm33jjjWdkDGzwm90k5gY8RztaaQc95A9EVMy3SKn2u7r6nfq7MWBVyRhtEq2MCx3auMyu1jTRAhQSmpqCYwDGubtEMERkKtFCnpujrJeahZax5yFgIx3pCz5ROqJFf/W1Eq3O14PiE/rnWCQjMXQ+wXBUksxmP/PekbOUu+zxsTBIv2bx6LCourimzOPsu8rjY5EJYsR/84KaP7z40bS/RbKPG3Itjq/5xOPTpdsAACAASURBVHn+Nco13O2KVJ3nPT8GNsZl7OLy0UcfPRfX1i6dOhK3iot6Kxk7LwYjeYlWEg/kyFX/F2hd/KuejAFZFsXRvFY59dCeRIt2dZyXaDGWWLTP2gXpqJjmLgu2IBZ7cepvrRmfOzjMF/rJg1E71w07KcbGfROyk0QPTCA4xqFOyYv96tAn5g0CxHrNGD7+zz1lslYPOapudLij5dpfd7TQAc7Gh70//uM/fqYj+/Che5RC+lKPc7eKewOECN/yfyPmGPokWsaV+DGOeMSF+u/+7u8uPO/YbolWOnas4+vY1TiW7zddL8lxE4q7Dy/Dl5uCgbG/TCz0gZqbykUXi9RzjGMxeln+3WRsKsk5Bv6dTolW1z/bPhMDhGK0ezdr41hykKxKWI5l66r0shsDlpIj9SbZsG3Vx0PgpREtJvo6/no/HnQ3W/NNIRkvc55vCgZmysvEQh+obzKZAKP8Sif9vo7jhc0Y5asiWjPzy89R8mG3Y4+ut3XG7+v1aM6aWNY/XIjHXZ05TUvqMgi8NKJ1GafX2H0EbhrJ2Pf46iUWBmNMbzKZGHt8fa0LmzHWV0W0xtpX60LgdiPwAtFicVqfhcHKgZUDKwdWDqwcWDmwcuDqcuDp06fwq5vxu57bzW2vJ7o1l2eHPxiuB+3TsrJ2bfr5WtiMsVk7WmNcVutCYAaBF3a0ZgYtmZuPwCJai2h1WbrIRIfMzf79Wu/18XsW0To+xsvC7UVgEa1bOreLaC2i1aX2IlodMotodcgsotUhs9oXAvsILKK1j9FJSiyitYhWl7iLaHXILKLVIbOIVofMal8I7COwiNY+RicpsYjWIlpd4i6i1SGziFaHzCJaHTKrfSGwj8AiWvsYnaTEIlqLaHWJu4hWh8wiWh0yi2h1yKz2hcA+Aoto7WN0khKLaC2i1SXuIlodMotodcgsotUhs9oXAvsIbBItXpHDZ1R4VQbvPeJdQbNyPI3Wdw3yTinGogNS4Ae9q1wegRHR4tUWvsMJ/C11XmyvNXK8oxA9FvQ4d6nT/pk686Cb/5TJnNyyP8Ig/enwSFsz/qRMjk0/0+7MMTq5VsB8VLbmbG/sHtFKXHjliAWsGQuu2W4/dSfTtefY2WPjG73vcGSHOcl3MHINdE8e38IGXL761a++EP/I5igW5ixfto1M+sZ73uoTvEd6ujZeb8N7Bysu6Z/Xar5XMeN6//33hz5ItNJfdflaGvTUl4WnbuVm/Qcv36XHWM4v+9YA/Llz586zOezwxhbvAjRPiDvfKUgO8W7E6y74dd1PdM/Y33vvvWF+gIOY+aJq2ngFkHj7LsXUl+82/Oyzzw5rC0+z5z2Pn3766XXDezR7LdECDF74zEsguVCzkKz37t07LLqAMSP38ccfP/ci4XfeeecAJGPRt8rVIlBJBhj7Am+OuVEwrxwzx9TMOTfgJA56BWlAJ+OQpVC/9dZbh2MuMohBzZUqdxCOf+q4EWlHJgke/iG3Z79iEGYPY0d4zPqTsepz52fa5Tj9rn32e32hsxbGd3NG39ZYdO2RicQFYmGe5FyzoNe5zrjwW5mufRSXNmqf5+i6f//+IR8qodAOi6f2z7tAd9ig2/fvcQwu6O5s6q8178lDd5I8fEzitfUeQOywAHXEgP4OF32wZt4gnrx8GptJupSpdRKt+mJnZdHFtamP+DTCzH7HUVf/Ob979+6B6HBfwl9IIPrTRurYO67+QABG5C/nSjLFXF2W5O35N9OPH9dJtLAH2ZUk8QJn7ndffPHFc+76YmcJKHOc71kEe/D+0Y9+dMh5yRg5A968i/Htt99+9ofca6+9dvbJJ588Z+OUT3aJ1qNHj57tXBkoQH/44YeH5Jdo7ckhzwXNRWORzDEJq1wtAlskA0vMoTctji3chOs82cdFl4THdmpJWl186WN+uwUU+bSPLDawZaltdUxnfw8D9VOLR9VdbSPbydQ/Jqqc9rbw8JpAV/cuUOYtMcMOc/b5558fyPTWWHzoyIT+ZS0u2YaP+IbdrnQyXTt6tnChn7Es3MZXiVb6knbIpdlFchYbFoe64GuTxXtU8COJFfHmDpD50hGRjmiJy09+8pPdONPH8+CyR7T0wR2gUfwjzJBzbPpfSSd95NxHH310qCGJly2dP+gFm9zROg9WyD58+PDs8ePHB3LBH2W/+MUvXnCXuMnLJHvEiV/kAMfgLnnRL4kWdjymj3zi+vAF0uonp7udyhecKg36I7GCPIHLKB4xk0QVVWeQMfzj/u549eMzWPAH5BtvvHG4R0nuqp5TPN8lWk+ePDncvJlECmCS8JxTS7Rm5FgM8usQEmHtaB0nbbZIBnPojow3d71gXt3RsM2acR3RYtGpBI02/MhPzj96K2nobLDgMxbCXnWop9rfwsCYqBOPGX+2ZLb8nMUDOXzi+qKupZszdon3xqJrlkxg212p9AEbYL212HUyo3baMkc4Zo4rkUKOD37tEae0YxzozR2ljMnjGWzUVwnV3u4Q45JoYZNFlVg/+OCD4dd+6MSnxKdigwzxgtceLuQOecXcefzgwYODja053SNae3OSmFUiOfIf3yQc4CSJgLwkOXXeWLArTq+//nqbo/jDTk2SHHVR01+Jll9jJvHJMR6rGzwhEPgG5hIg5aiJnXuGmBAzPhGvxDp94VhylcfoEiPsOEbSI8baQR6/mNfMLTBLP/VPolX1Zix7fe6MESP3FXNe0oUuiBxxay/1n/LxLtFi8riISQYKx3wANYnWnhzyFC4gJpYk5C9waid6tIAeBq1/zo0AmHaFuXQ+Ibs5B84N7bUwh5VoOZ+M4wZEHtRCW7ejZT45ZmSDvrSTeZLt1f4WBtqjTjxm/NmSSX/Sz7TX4UG7JNfry+smx4/mLOdtayx6ZshExYVzYnMx6whLJ9O1Z1wdLsiIDQSB+DpCsWcH7LhvMYe56OjHDDYsFOSM4/dsqhu/K9HKsZVAOc74XXhru1/PbeHiGHw3dm1LGDmXhClvnUQLGfLNa55dLOZnRIAcXzGznXEj/50n8w1bkAB+u1MxVNd56s4fdYBlEi3bqfGN/Ot2iZwHCUTqgrgYE+MhxxInMXScNrXHPKFL+TxGViwld8QoYcmv8dQ7U1eCZiwSuNSx1ZdfOSbBI+drvKnzthxPES0AZIF1y55zPpVobcnRZyFxWNz5C3ztaInK1dbcmEaFm6wka9TPzZa5YY5qcX65oEcF3aOxyG8RrfTHvMp8qT5xPiIx1X6HQfpe8ajnI386mfr1eOdnhwc44HN+KnlM3z3GTo7xuBs7QyZqjNqypp+5vqpdLfR2uNDHomFc1h3Z00cWiZGP5tPI9z1s/AtfkqUt684m/eRSkgT8SGLDOX/p1508xoLNiGiBiwv3Hi7oSDJU7eNfR2CTaEGM6leEVbd4UG9hNuu/u0IQrZGP9Fccuh2tLX/0Gyw6ooWM/uTuT47FRwkE99IRZsqDAdeTH3IL++6gOa98lUb7LNHK3aq6U2UMKYOdKidWEra0r//WYlZJGDqIER0VN86JU6zUddvqKaJF0C4CLoqAWonWlhzyFonWj3/840W0BOWKay6aWpg756/2eU4/N+BRYQ7rjlbK7S3OKesxN2h0mh/YrmSt6q1j1FXlRhgoSz3Co+oe+dPJ8IdD4lvl0vbesdeXuGzJ1znbG7tHJka4VPsV69rPuTKVlHTtIx2jNuIbLbZV1kWi2u/aGb+FDYsF2FR9aXdLN34n0aqy5EsSodQ7c7yHiwu6/ld57Lu7VO3tEa0am+NnMFO2+mM7NXr8Su0yGM36gy9bRKvOXfpaxzqvHZmAbBATv02SwKofcsJ6Sb6PdrTSxyQxzuWICKave8f1N1lpo4417iRauZOFPHExBxK3qr/qvC3n00SLifN/OhE8oI6IVifHX2Myc2puWBKu2n5bwH2ZcVSSAWFInDmG0PDbOnYG7GMRdH7ZNWLcaJ4YC1F2HHXdZUJX9o9ksEUuKIcOckjb6Ysy1PhVY6r2ketKHYusBG/Pn5HPXA988KH6qQ+zeCDv9ZV68ZkCPqM5006OtS3rLTLR4TKaa3ZesOXvuBibuwpggUzXrk8dLqOdHcZgU6KlfRahzk5tZ55Hu1no7rCpOswXcBnFnH5x/XCvzLzAB3ZnwC7biSMLC1PqR1ZcU47jDhf6yJkRQUn9WzuEe0TLGPFfIseiXH3njyo+KWcc6T/++igNYvZrOnSyUGvDsTP1yB/WNOLWH+NIv9nl4Uf4tQ1/mVfH6gPtECB0O7dbP+zGJvlMTkiM0OGOFv6hCzu0u6OFvZw/ZPiGSB3Zhx/5KAV9nan9H4XmHkTK31sxD/pf8QGzumMm3uJCvYXNjH+nINMSrVNwfvnYI0ACv+plYTDOAG6IF1moxtpuV+vCZjyfEq1x75etLOx7O34QqG7XbEu3fe5s3YT87WKBDEGcuh0sY1n1q4PAIlq3dK4XyVhPhu9Se5GJDpl+R6sf8Wr0zBAtCUa3EwlSfLPh12PnRW5G/3l1Xka+i0U/F9G6DLq3a+wiWrdrPp9Fs4jWIlrPkqEcLKJVAInThU2AEYczRCvE1+FCYCEQCLxAtFig12dhsHJg5cDKgZUDKwdWDqwcuLocePr0Kfxq/a4nSOhJH665XDtaXQKvXZsOmfXVYYfM2tHqkFntC4F9BF7Y0dofsiROAYFFtBbR6vJ0Ea0OmUW0OmQW0eqQWe0LgX0EFtHax+gkJRbRWkSrS9xFtDpkFtHqkFlEq0NmtS8E9hFYRGsfo5OUWERrEa0ucRfR6pBZRKtDZhGtDpnVvhDYR2CXaPFfVX0Iow+zRC0PKeMBa9mmOZ6lwmdUkGcc4ymd/tqXY1KvD5fkoW481+TYBX95SB31TS4jopVY8wDGLGAHhowbzWk3Fj2M4VN1pv6t41kd1cccpw+ZJ7TVUnVkP3GT63VuzXVtZK5l3wi31N8dp08VQ3zZehq/Oke+d2Mr0epw5KGexOfDNkfXdPaDD9jw3/fRiR0xo2ZuugeFGketiYEHbeYjAcDLh1nyEMdRSftVZqRTHYlN6jCOGgPPjupem4MdH0hafcDe1lj92aprHOnvyF7VlfZz7ChWiVadb2SxxXOtmJf6UNQ6V1vPv0p/8JX4fGgnNjj3QbU1ltnzfGipftex+Hznzp1D7ubDNNOf2p5PaK/6ruMc3/JBpse2SR4wF1wv7733Xvtcvi055zsfg8GT4sVevZ999tkht3icBg/5/fTTT48d3pXr3yRa9ebNuYsJF6Y3T8C0cMzTaXkCLDJZSOB79+49e+XKlv7apz111nPschO0H7ujtvQnj2dlSehTJFpgz5xQG6tzSQ12tI9KN5Z232EILpCUxF9dKWebdfZt6djzEX3YzjjIzyxbOvAjczPHdXNe/d36AyPjTN20+yJpjiEqYjj7R8TI962xSSbSF4/FkRtakjzwq2Srw0Zd1uqsRKvDhXE8nJI5lLzRJl7o4RjCVUmFOlnU8Q+yo8xIpz5Sb2FDDFz7xoCd+/fvHzCqz46i7+7duweCyHXFOPCTaGyNNU4WFuXTR46JA1/FBn3K15jrWPV3vtNfY02i1b23j4WzxujDSfHPuRrFVPHgvOLH0+HRnzZGsXVtFSNIXCVbyKTPLPrIVH8gGfjD9eA88MT0l1WY8+siWtjKJ8PX1+yIwZYchOo73/nO4dqRaJE/XCc+2R49XDtvv/32AWPuBa+99trZJ598oomTqVuiBUh5k60RkWCjdxUCDAvHo0ePnlv0GM8YXrwLmCRup58+SUHa5QJjIa0LQMrkMfaYHD65ANtObbEtZbnZcM7NDJ8o4IL/1De54HcWsMt4XfjAci+ebmwSM47BGL21gJ2ErPbleadjBvPR2MRgSwdjydl8aXr61Y0l1sTUnB7lxiwG6ANvC7q66wSZLd+7sVtkInE0HklEjRf7HTb6r4/k2EVyA/11Ryt1QzgSr+zrbG/p7LABF2KQsHHOgkzOjHZZWDSYS0kFsTMekuZYdldGY/Eb7CVONSbPuziqr8pb79nP8fq/R7TUmTuP2rN2rtRpu2MTj4offeDHa13E0fEXqUcxjvTos/dAfdcfSAHzMLOjhdzDhw/PHj9+fNi14Q9TSUbaxjfyIkkg9vDFFzMzH6xLkjt0S7TyGL2QGnJVAqN+ct1XG6X9veP0Rf3EX2Pp5CBK3/ve9w4vmCZOxlWf9UFf4QO8CxKfczdRuZtet0SLG0OSkwzEGzDgmID2AwyLFu/Qo0aWgiwXCOfUEK5Of2dbu1tj9YMaX3Lxx4fcdUk7VRZbkgPGudgZB/VNLkky8JNYKylgfiDLYPTgwYMXCKnxdWPBzEIe1PmkDT/yM/pqbksHfc7Tno/VfmKwpQM/+XRzSzt+oy9JN2MSU+TMk4wp4+e4w0A7+GoZ6bSPesv3bmxHJtAnTs4t8eEv1xy1pEsfsOHXY+6u2GetTneCaMfvES4j/R3R0rbkR3tZs2CTF2mbcZ3ODhtiyAUevebMiCwhn0SL+4k7JVtj6cOHxGaEOzF2cYxirpjgO1h3vmesjN0jWvgy0qXdnCvJin3ikf6AH8RCWfGDpNSvJ9HDol5x4x2FOe/ao8ZmjTH7OcZnd706f9CP3CzRQh/5COnBZ3yQAKV9/CN/fPkyu0burEnA0y7HM0TLMb74WezFGR/wi/nOHARL/WSMpE+ciF+dxtHJcR1A8JhvfRYL7vHMY9pDH2SRuMVDG6dSX4hoeXMnSMkPE0jhBi3BQs6FyDHIkVxbZImkrotm2gJw9aKPG5FJwVhLJU/0Oa76WmXVoRz+MF7/jTflbtIxeGQxPnGiJiZfFixu1BX7biztyKszSUjaTtKa7R7v6bCfmkJdfWReybEsiUGnwz8IiGVmbsXCfE6bjK9ES3/2MECOGDI/advTybXW+d6N7ciEPmRM4OYC1i34xogfXNs5nj53BZTLeg8XYuhIEXrBKxcJdafflQBu6eywMQZs4bOkCV0jgiEWXhtebxCFvbHEgA0XVGOqdY1jK2bHzviesTouiRZzbFxii94RAXJ8N1edP+Jn7mGPxZff6HT5oK2tOgkZvrsjNBqTPuMP81z9gXwwD7NES2KBvRwHKVF3JSFiW3eM9AkChi515zF2ckeL+IlLwpJ9IwxGbZWcGceIaHEv8PpELolm+im5c7dK4iW5G/lxSm2bRIsbK2BkYXJZ5LzQrLnIKfRLtBjLwpNfydAm0RrpRwe6Rn20Sw5qv37ph74gbxt1LmQ5Jo8Zi5/YMD5qxus/9U0u+LtViEUsqYmfMhOfYx2jHS6q1GU7Nwp3B23r6pGOaq/6iH7yrM5JYtDpyEXDue4Ioz6r65133nkun6pfylPvYUDcmZuORWdH3pDXZ+v0vRvbkYmKo3G6K8A510TdddJX6joGnVsL8B4uxDBaWMXLm3j6UI9ZGMhL4+h0Mm6ETY2BhUq8rSUc1bbn4EKuuSvrOOrRWGyel2hpi7rGbB++u6DrQ9qvsTouiRZEsX5F2I3Tl44Q7/mjfRdeiNaI2NJf49ra0dIv5sS80JZ9nc/0689liBb3zxGW+sEuFnnuh1wndyErzh015IT2WaKVu1V158jYUgYbKUduJVlL2/pOPZL7yle+8pzv6Cb/3n333cP1IbHqdKb+UzpuiZbEg0nOwnldTL25MoaPRItxLgbUFAAkufltEHqqfv6HATLc0NFrSX88Vicyto3G2MbNIBfkPK/j8Uv92af/1De5kMBbhdjApcYDJu6SdOMdW/sTs9o3ez7Ssecj/tQ8wl5isKcD+SrT+ayPmT/Igme9Njod2Y7/fEYFnzqilfIj37uxIzKBroqjcWrHeLeIVh3DDXk0N+rcq4mhEi104usMyUI/N/yUH+nUjxE2xjCyh67Rwq8+a3R4H7Jtdqzytd6Ko8Zcx3I+st/Fuke0Ol/OM1cjf/QbPX51tkXclZ+pO4xmfNYfyc/sjlbKcT0RS92p0nfIHP38Nkliq8/sSLEukXujHa38Ki9JITYhdxIabZ2nZhcM/fqd+lPPnhzzvUUO+R3XZfxMX172cUu0cAwg6q4Oi1e9cSLnYsDkJ9FiYvOH7chCtKhH+r0ZjfrSruQHf/zAjLGXhTH0Ewc6PXeM9hhjH7LoMXb0EgOy6ND/tHPTjokvC/EQh3EnlsZNnxiKPzF3Y+lTH7UYazf1KldlRjrEnj5L6tJH+pBN8qw8NTazdDqUybnN+KuPSaZYwLvY0Js2R3JVNzLo//zzzw+1Y2znDxQwTGywk76Pro30eUQmRjii099f6Ye/1dI+de4kYMcdAnR2i2KHiySOGLjOtGv8fNWd9mxnp8P/XVh9Ai/0djr1FxwrNlsxiLtES7wkBD6CAh9HPzpG3rHoorCQ1vj0/39FhnEkThw7Jn1yvHW1vxXrHtESW2KXkLIA11i4Vvmk3MgffBnhh05IjjYcO1NXf8AIAmPeoLPKgCW7Of6AXZyZT/KG+csYkQVXcrfGSDsEhbVEPX5VNvIfTNHPNSXhQIc7Wq5L2KFd0oKuzCPssSarI/vw4/vf//6zrxJHfoza2G0zbnD0B+34ljGN5NQ38tmdNGKrX0U67hTrTaJ1igEtn79EgAvoVS8Lg3EGcIO8yEI11na7Whc24/mUaI17v2x1t2UrtyBQ/kZtS1fXlztJnczLbu9irMTiZfu57F8fAotoXR/W12ppkYwXd7SudQJusLFFJvrJWdiMsZkhWhCJukNXtfG7M78Gq3175zP693RcR38X4yJa14H+zbSxiNbNnJdLe7WI1iJaXRItMtEh8+JXh73kq9UzQ7ReLURWtAuBeQReIFos0OuzMFg5sHJg5cDKgZUDKwdWDlxdDjx9+hR+tX7XM89Rb7bkmsu1o9Vl6NrR6pBZO1odMmtHq0NmtS8E9hF4YUdrf8iSOAUEFtFaRKvL00W0OmQW0eqQWUSrQ2a1LwT2EVhEax+jk5RYRGsRrS5xF9HqkFlEq0NmEa0OmdW+ENhHYBGtfYxOUmIRrUW0usRdRKtDZhGtDplFtDpkVvtCYB+BRbT2MTpJiUW0FtHqEncRrQ6ZRbQ6ZBbR6pBZ7QuBfQR2iRbP/uDJryzcPM3ZwlNreWJtttnH07L5jAry+ZTqTj9jsy/HpF6fzJ1PC8/+m3LMQ+zyCfnH9mtEtPABnOjzyd740bWPfGT+yAfmhmIe1PwYje3aZu1j0zcQqGvL/ggDx1mPdNpXY7XdOv1GFkyxmZ8ub9UxqqvekQxtKXfv3r3n7OJDZ3uGaIELT3XHhiWfuM7TqEeFcT5NPmWYJ5/0DlbnLTme2Mjj0fOYUi6fxp7t3DO6h2ruYSMuaRuMfIp5xlxjTDmfLC4mWzFVPfU89Xb2M36eBE78OZ/mLDmTT8rXlkQr9TgGm+jDj/omgOpbhzt2eOApuePbAcDap6Bjg/O953Tpb1frP/Oc+VHl8fvOnTuHa0o5nhoPDsTt08/R59PhxbXquo5zsMknwx/bZsb93nvvDa+nlDG/edo7eVdxxN8RvrTzWj7mg+eT8QYI3o5xamWTaNWFhnNvki4q9WYOuDzu31fWJCCAxYLgK1O29Nc+7VFT6jl28cX+tPsyjl+2PyR2FrD3HYYcs1CBVdeeYz2u88fFDekS845gM657qfSs/RGh3rNfMTAO65FO+2qstluTnzX37bMGl5HMFh4zetG/J9fZZuwemUhcJBTpM7izIDrvxouMf0yQ/5AI/Kzy3bvk0oY6rdGxt8hqR7KhHRZuCICxbD3BfAsb9LlgqAuffdI5xxAu7es7NTbJhSQxMzGpA92jl0zP2MfOTPzMJ3OWPmo/iVb3ImRiZL4lU51v9qubGtn79+8f1gbmi/O7d+8e5sxcgvCgP22kjr1jcIC4SQzNj+oPcYCDr6zRP/FXzwcffDCF655fV9GPT9dFtIxfsslrdrhn8P7FLCOfeP8hOCKbepjvUTu5+Pbbbz973c9rr7129sknn6SZkzhuiRYg1N2DjAhgee9YvteQfi4K2h49evTCIsMY3pVGEgNsp58+b9hpkwuMmxWMthub8vrDGG6QjLfgi+dJijyu8lUXNyUwIhZqCn5LZtCPDj76jKwv085FimPkqw39O3Sc8x/sbpWMP+W6duf1448/fhZz+o0O51Q81Et7R7SUse7s019zcs/+HgYjnbSNYtU/x+S8Z5/H5lHOs30dHjWflK/1ntyWbXRtkQltYaPuaNmHfuKvsZGv5jGy9JP73Cdod0Ej/rrzgXyHC334s0e0zIdqh7+U016VMy7qPWzERaKVYzlm8QYHfaCt871rrzo5BxsX+lG/bSP7FW/iRy59dE5HJBHde0SL8R0B2/KNPscyT85xJcP0kXMfffTRoR6RQe10NToy7ooL42bmBH/x89133z3kVb5cOfVXP9D98OHDZ+9N9B2BVU79EkL69R2CwjHzwR/L7BBR0C3RymP6IDfMjcRR/eS6u3UHJZP/pC/qz5dMq6b6Ybu1fmSc9GU78wzW8AFero3PEjz1nELdEi1vkgRdCwmau1J5c0UesvHkyZPnSBigc6EwlhrCxU14pL+zrd2tsekrNpOQcQOUvGSfC0S2oaeTp++dd955FgvjKPgn0SIu4iMWCjLETa29Q8fZ2WERQm7LvrKz9RbJwE7uRKmza6dfLJDp4hj5jx/5ya8dtWu9ZR+Zkf7Mvdq/hUHazByhfRSr8tTm54MHD54R6ZrHymQ7ehMLjhMPx2zpnbGvnrSd/u+RCWTBsiNaxEFu18UOuzkfXg9cK0m01C1Z6XDxKyT98SvJ7mtD9HR2aAdrdiHy66nEheM9bKrvOZ4+dFeyAi5cMzmvYKc8edDFBOHAp8wb4khs9EF91T79EICt+PWxzqm694gWtiVJjsk6fUuCh4w7YcSkDvxJ0kIuQRZ4uXOSZm2w+FeceMFzxlPJGz6h2FY9XgAAIABJREFUyzxEF3qcK/ShQ4KiLfQgQzs+MufmlaRL2ayxx44a1w5jtVX1M0Zf3SVi14h5BQcJN/ogOPjP8QzRcowvbBb7nBP8Yr4z5xIHxhC3vlWdxky7X/1KCtNO4ugYYxdf23MnzLZTqi9EtLih8aEw8ZIuzrm5QzZo98ZHu2MAHxC3yBIX2YiEaYtE84aOPm4gJgVjLRwrRxvjJUKc0884xqNnS772Md5YqKt+cOiIVo4zpj37BwPn+Ie4ugImiYtyXXvilr47p46nr5IW+hg/s6PV2e/079nfwqDT2cWqPLV5Q+15zVdiwb9R6fCY0as9Yuvsb9lm/B6ZQIa5rEQLey5mI2JAznNt45sfcIFoJRbqzgUOmx0u9GXRTuqkf5QPLqTpe0dU0LGHTec7Y1l8wD4XE9q1LQHiHJySBGRMdTw6wMYFlvNR6ewjqw/Myyh+xoLfyDbjk2jlHJsH+DciQPrZ+cY4CJTEU6IlHuYbfrPY8xsd51Tds3UlFaO5lLAxV2CRZCgJiMQBXCUl4LpHtCRD+Ix9iRK+GSu7TJBOZcW26gYj8MJXdCmfx9jJHS1iYC4kSdl3GRyJQ/I20qOvxJaYiaNYi2W2j/SdWtsm0ZKAZFAAxs3TG6k14FHol2gx4Sy8+XUTbRKtkX50oGvURzu2+Sqi9uuXfqhH/6jrYkgCM6G2M7aT5ybETTSLsVBT0CeRq/5UWRfDXBy27KfdmWPiGJVRHMh17fTha+LCMbhxg0xMaozaB5c9orVlXz3oTyJXx1T7HQbqo646u1iJwWIeMsfqIKfRRUE2//g4NMY/HR57elWxJbdnGx17ZAIZYqlES/vUYM91k2Qh+znWz9GOlgtqjulwSRmP1Z32zQfJAjFgxz/qlGVst6u1h424VJLIQknuaFs/qbGXxEq/6q5UlUsdYLNFtM5jv8aP7i2ShB9JtLjua/xbOrZ8Y9GXYHiP4d5S9Ut4IFqj3KG/6pnZ0aq6tGOudHMlMcqdHsaSV5UQOY/okgzRxv1jhKXy7GKR037ILXS4SyRefJWWuvMYXUmm8FEyw/j0X7tVpsoRe5K1ak89tRbb3MFDF9dGtjGua686T+W8JVoSBSY5C+cSE9u5cG1jnESLfhcuF2QmBWD9rVLVz/8wQAYihV5L+uOxOpGxLcdw8Ut81GOtPKQN3/FjSz5jVAd+5sKfMurXH+OmptDOWL53xi5ly/5B4Bz/cHHUAl6Jmf1du/1ZZxz4m4Qi488xe8ez9ivee/ZHGFRfqs7sz1i32uu8EU/N6xzfHVd7Va/jtuRmbO+RCexgY49oYWurcDMmJ4gjF3LzxMVsS0fXB77YT2LT2alEr8qljT1sxCWJAHFWX1InY3JBx767OCnH4rKlJ2XzeM9+1VvjZzx4Jpapn+M9ojXChXF7vqWdilP2ocevzjKXUmbvuMbtwp95WH3YmityJf+nofq3iJY7WPi6J49/xMoaYb45l+xIscaQV6MdrdxhMk7IjPFUYrOHXfZD3NBvnKk/5eoxvjOP7qbRP2rbaq86T+W8JVoEQNJBeFiw8lMXEeQkHEx+Ei0mNn/Yjqx//Y/0cxPubKddiUz6xV9C2MvCmJRxcaDd4/Sxk0cn8upyRy3liTOJnX3IYsO40aX/ElR9dox29NH+2ZrxWcBVndbYhmh6bk07RLiSXfTl/HE+wkS7NRb0i5syI7/Akbk0F8RK/6jFbcs+cl3Z0ukYY2XuKhYZW+Ydskk+1UWdY4yl4pEy6vU6EY+qS7kt2+nHFpnocKl5gt/syOAbf8XjG/Z9zAHxEYuFG2zGnLs5GXMng378tp/5Z4HUPosNZWRHGcdSK69/1h024ML1mzq8ftIv+mln5wVctMOCohzzxcLZxaQv1DlO22JPf9Uxsr8VP3M2Q1z2iJb4EK+EjQXYmPWda4NPyhkvfkpIay75o210MsfacOxszVh9AkfmwXlSZ2LOXNVHEhALY2kf7S6RlxIgdeIf8UFQuL+Jx9YPu8EUPeSTxAgd2sQ3dIEl7blbljG4Lqkj+/ADspjkZwZLdtsSR0iXvhkTc1V3z/jPDNkGjoytsrbP+HIKMptE6xQCWD6OEeACetXLwmCcAdwgcwEYS72arQub8bxLtMa9X7aygPOHz1ZuQaBGu3lberMPojQiaSnzso+7GCsZetl+LvvXh8AiWteH9bVaWiRjPRm+S7hFJjpk5n6/1o++vT0zRAsi4Y5UhwS/M/NrsE6ma5/R3429zvYuxkW0rnMWbpatRbRu1nxcmTeLaC2i1SXTIlodMotodcjMEK1u7GpfCLzqCLxAtFig12dhsHJg5cDKgZUDKwdWDqwcuLocePr0Kfxq/a7ntjDvNZdrR6vL5bWj1SGzdrQ6ZNaOVofMal8I7CPwwo7W/pAlcQoILKK1iFaXp4todcgsotUhs4hWh8xqXwjsI7CI1j5GJymxiNYiWl3iLqLVIbOIVofMIlodMqt9IbCPwCJa+xidpMQiWotodYm7iFaHzCJaHTKLaHXIrPaFwD4Ci2jtY3SSEotoLaLVJe4iWh0yi2h1yCyi1SGz2hcC+wjsEi2e/cFTWlm480nPPkE62zTHQ+v4jAryPOmW8ZROf+3LManXJ4P7dOzse5WPR0SLB+mBE308UdrCMW213X5q5xsZ5zbHOb6bp9Q1OiYPfLvAqJ+2kczIL8fj017Z0znK77SJjcy97BuN3fInx1a9dVxeN8zDecbOEC3088RwcsaCDZ+Obg7YlzVjfEI8GOAfNs0RavIkX32S4/eO0ck9KZ8u75jqYz4805i2nuN0HmzUMxtf+lZf3SJePIzzvCX1mjf6lrpSziet05/t6VeOlWilrPPpA0SZ9/qU+cwF5VJvHvPAU57S7rwyXz4FnbGc7z2nK/V1xzUPjIm5T1y68frpK2jQl6/W6cYdsx0f8snwx7SFbjBjLsDsvffeax9SO5IbtemvWOYLqnktH3nE88l44wJvLTm1skm0vKERPIVzPhQX2bqwAiKvoeGx/8hkAax79+49e0XJlv7apz111nPs4ov9afdVPOYmmAXsfT0Qx5ADsOLYFz4zzyxgFUPakwQxN6OFlnE1H/AhbaRPHs+Q5ZHMnl8VA+1ZdzoTA2T4ZMFuvk7JvorfaCyyHR6dXvVbM57ri9q85yY08skxWe+RicTFBRvfknh1OUA7ObBFosyTKtPhkr4jc//+/UM+uiDbr4/6nE8q99U85L39jst6D5sZPcTHXGR8nW/44pPSiQ3CNSJb9DHHSRz1G917BAQZXzXDOOJgnsGQeRWTxEz91Em0uhchM5b510d8HsVmf+qv88r53bt3D36R4+AJCUJ/2kgdM8fEzRyTByzm4AKZkwSKy8hH9KefEK2qb8aHY8gQx3URLTHzVTu8jodcqq/xGckxj9xfR2N9rY9zwxww92+//fazP9Ree+21s08++eQYEB5VZ0u0ACkX1+oFwPL+s3yvITIAQ9ujR49eWHQZ8+GHHx4uGhK200+fC0na9SYOo+3GpjwxvPnmm2dPnjw5XFjYp6CHRZja4oJV28+jA13YQIe26nhfYp1khmPl9eey9QzJyPixJwbpG+3OFbFQRv52Yx0vmTsoGPyD7r05rTJ7fu1hgBtVZ42t2nDMiNTMjGU8Okd44MtIb4WLect8wS7XC/ihY6/skQnGoyeJlThIbmqsjtnznzxBhvG1dLgox1gW7o8//vigQ1/sZ3zuqOiji6YxSSocl/V5sBnpMb5KlvZ80wcWbuZXn21n/GWIFligW736wzvmKmYpp/09ouXcjDBRRxebY/FFwlgJH33kDe/Ko04Sq/7ZOvOgw6XmFrpHftKOvpkdLeQePnx49vjx47M7d+4cCIe7Yuk7dsBB8kcf8YMfZIZj5kNCog8SLex4TB8vgea68V2H6ifX93bwlOWPJ8enL+rPl0zTRhnJEXe+W7G+oFos3dHSPvc3Xq6Nz5K0/zVzElVLtEjA0e4EUXGRelOvN32AgWhBbpKEASAXCGOpIVyd/s62drfGJurYhD1rRxKEz/Zhi+Nc5OnnQ1FuRkfuhBiDL2d2PDorZviF/FWWLZJhTNUmfqWf6Q8+Eh/YU6Mji/Ey/xb04Ud+RmORr3OgjqxHMlt+bWGg3qqzzk3t11fiQD83O/KSsjd2Dw9sjfTqqzVYE7cF++wU40v1SZmsz0MmjI3xFeu6GJkDDx48OPhBLtUFUZls73Cp+pHjA04uyBkXxyxGYEie5tdQ9DEud2/qWM7Pg82IVBBfRwT07YMPPnjBN/3LXSfaIBz4VK+hxIa4GOfcj/yqxCWx2PMLP/aI1tac1Ngke7RT3AkjJucVHPFLWfIQsgBJSWL4vyoOi3rF6fXXX38h/5DP2LdwUbf1yE/1zRItds+4LiAtEBFyRQKjHWr9cpeI3R6IFzhIuIlDuxxLrvIYXUm0HCORMSZx1gfk8FUyl/2MYW70repUx0iuEq06tp6rixiIW5u2n0p9IaLlDY8gmXhJF+cSLdqRc0FwDEBelmgBuHrR5+LEjYYL1KItagp9juOcY/yq7fgOSSSWi+oQB//61gfsps6K38HRK/gHLLpC3IkD8XsjT+KQ41MGvDMe5MQyx3hMjKMdHPup0ZdkN/s8Hsls+bWFQafTPO36bbdmnrlxOo7aMvKXvhk8Uq/6rO1zzqiTINufvjiW+jxkAl8tYO1iRg7kYo+M/e7mcF7JFjfozq8tXOjjmoSggasLsr5Z6wOYVB8Zd2yiZXy5MM34hgxjuY5GY4nfBVZ9o5q55/4KxqmnLqiJxRZm2kiihX5zj/sFxA7/RgTI8V1sjPPrxZxX4zDfsAdx4jc6e3Ooza7O2LdwyfGdn8igT8KTY+oxcpKhOg4/jJVdJq4tZcW27n6BkTtfqTuPsZNEa7TLlLtdyOMLxL3aM54RZsQveduSuyjRUuep1ptEa7SgehP3QrPmYqXQ704WE87imWSDNonWSD860DXqo50bN1+/1X790g/0aItavUkwJAeMMQ7qXLTOoyN16w9/WROvPhwcCWLCDbFbeJS9SE0co4Kt9LPK0J/x0y/uxOR54s+NIMl21Un/MYjWnl8dBukf85IEr+JT5z/Heqwf77zzznPYdmNn8EC3esVde7UeyY3aHHcRoqU+d6I4JweSbFUZ4k9C5IKRY/SJegsXFuq8Rjl2kVdHtc957mrhz94ifR5s6s7RVnz4wn0g8UvfWLy4LpMcGZfYzBAtZKst2qp+54bdtS2/9CGJFgvzeWKvttVJzbxKMJzfOq/IufsD0cqcUhf9Vc9Fd7RG+js//Z3XRYgW1/UIS2NiF4v7kR9yg3nzPwiIF1+l0S4xy2N0VaLFXDoWjLodNeRGP3RnPsHD3aVqT/9HciOipd+MQ9eItKnzVOuWaEkUmOQsnG8txIyTaDGOmweT6uIOkFzYfKWGnqqf/2GADDdxbhiW9MdjdSJjW47RFjWFvhzDMfa5QbqDpT3r8+hIsoFOF/AR0aKf75z5cHzVBcxrId6Mv/ZzDh5VprYZm7iK40jfbBu6xKsbU2X2/BphUHVXnTU2cqbme9WhHxcZW3XluXqzbXQM/pn3yGyNPQ+ZMDerPmNN0gSWmevIuAuFT9yc0XPZgp3RYqiPkhXs5y4L445JtIxP+xlnJRvpG+OYw9G41DF7XG0xLu1xTr4wV/5xoO0qp809otVhe57YunnFB/T41VnOqf6dp05fa7wSOgnxSG/1k/NZopVy2u52jvCFWFkjJLbOLSSHNY/rAFzwQcKiP+4wGROECpt1B2sUo23YY+63fleV+h1HDcEjXuNDDl2s7dlGHkr2qu+p75SPW6JFUAQNKLJf63qzRM5FkslPosXE5g/bkfVmPNLvgjHqS7sSK32irl97pS3iQXeSiCQI6E5dyl1GB/bqeJNF//cWceXPWxNLFnzJ+DjGNruD2c584zMfya7HKec8Mb9JMNNmxZTx6ldOHFI3+cJcamMkg+/+/i3HOgb9tHel00k7c69O/CVGsUBfxTLnsI4FO8seHp1e8Tc2/AEffURvN1bbWW8RrQ4XsPZ3QNr1Bk+7vmWMuTOBz90CmWPUDd5J4tJ/8JBocYz99EUd1LQTE/ecbGfORovpHjadnlF8M76BW92JSd9Y6Gp/xabqcHzaBz/IirrUoUxiA2a17BEtMWaspI2FVXvq517BJ+W0hS/OK3j6yAvG+qNtdBKHNhw7U+tj+sSODr8ptA1cIAH4kv8bMfXrJ7tr5INj8RN99NNeY6Qd4sH9TTy2ftiNv+DBfCYRcUeL6wtd2EG3RAtfM2+QYU1WR/bhR5KojHPr2P8hyPiKWcY0khu1GWvFUp+3fDmFvk2idQoBnLKPLMouUFcdBxfAq14WBuMM4GZ2kYVqrO12tS5sxvMp0Rr3ftnKAs49bSu3IFDsqIxI7pZu+9zZ2rKh7MuquxgrGXpZ/i2714/AIlrXj/nBIhdjtxN0FS4tkrG9o3UVGJ+qjkUm+plb2IyxmSFaEAl3pMZazg4/6PdrsE6ma5/R3429znZ+SzeKcRGt65yFm2VrEa2bNR9X5s0iWotodcm0yESHzNz/yOxH396eGaJ1e6NfkS0ELofAC0SLBXp9FgYrB1YOrBxYObByYOXAyoGry4GnT5/Cr9bvei7HW2/O6DWXa0ery8a1o9Uhs3a0OmTWjlaHzGpfCOwj8MKO1v6QJXEKCCyitYhWl6eLaHXILKLVIbOIVofMal8I7COwiNY+RicpsYjWIlpd4i6i1SGziFaHzCJaHTKrfSGwj8AiWvsYnaTEIlqLaHWJu4hWh8wiWh0yi2h1yKz2hcA+ArtEi/+SygPJWLh5sKCFB4zxILVss49nqfAZFeQZx3hKp7/25ZjUix184+FtPDLhJhX84WFxL8OvGaKFXz74cjSPzjG6cj6zfTRuZg72dGT/aH73fMeHGQyQ41lmyPLZeq5ZtZnjHN/l6RYmqfc67J+HaDEPPqRza66JwQdMIkcc2BEXarA5z/OT0jYPrNwr2PVBnDmW3J197tIsNqnfh2lW/1KGh0LqQ9dex2+dp47Ofs4BD7W0dO32j2qJVtp1bn0wJzlQH0qbeaHcSD9tPIcrX0vE2uDDOX0o597jIzrd2Y5e/Bw9gkE5/OZ1McQovsSOfXIk59Mx11Hjez6Y9DpsZtyjV/LoA77xQFafSE97zqEPMk19+bBU3goD7jweg4fB8pDk21I2iZY3LsCicM6HwsXqzRPgLBzzFFoIBjJZAPHevXvPnh+1pb/2aU+d9Ry73MjtT7v1uMrW8yo/e35VembtbckxN1sFfLdIAXPOc76YMwryLFi0s5iJM21JwtImY0fvOJzRgQwLPHUte74rv4cBculj9Us91DM2waTDNO2kXtq5XsgdjiG+Yptyl7WfumbJBHjkU9+7uda3LRIlNlWmw0XbEgQeVIl9yUrGwzF67t+/f8hZFtBcSGcepKm+GWxmfENm5ANPux+117iIp3u34Yz9HJ/yXbvxd3USre79fOBMLhgLtnw4KccQ8Y5s0e/8gRHnd+/ePZAhrg3uBRAe9KeNzt+u3afjc51BCEaFOLCXTyUHw3x9znlyamTjom34cZ1EC3uQXUkST3XnOvQ9h8bh097FlRzgFTy/8zu/c8CZOYSksh6Q/5IxcGROwPrtt99+9sfZa6+9dvbJJ5+o/uTrlmgBcC60NVLA5vUt+bodZACUtkePHr2w6DDGlyxzIXX66RvtBHlDh+l2Y6uf3OBZcEkA9FLwgzY+LIy8giHPiYEPfbRj1wIub7755tmTJ08OOnNhrXrxs5IFZagtWzqVOW+N313BXvWryjo/yFLAEZ+tla9ytlPTNyJaMzo6H7v2tOvxFgbKZO2c41+WGZvdWPV0WNhvDcaZb7RfhX31U8+QCeS6ecpX48z6Rr5VXLHR4aLtXLS5QadtYwJ7FnRfXk/N/UHZqstxo3oGm6qPGKpvtc0xksA93xjfES11zWBDjOAD/pJW4+7a7c96j2g5B1u7RCyoI5LkWF6v445VJTL0EcNHH310qCthT1/3jsnZJLspT58+ZLvzme/oIx7nIGXR8fDhw7PHjx8fdsV8RU3KcEzc2Eryma8Y4hjcJS+MQbdEK4/pw0euAwmi+slpd+WqD3vn+iOxqu8vzPH4kztakijHGk/ioX58BgvWfd7tiM+Su7Rxqsct0eJiThKRATKh3MgAlgsnSQOTC9GCiCQJQ5YLhbHUEK5Of2dbu1tjq58u9NiXnOEjtrFDqecpSz8xuvjRR6Loe8Y/0kOsjHGcNjNG+0Y6M57zHG+RDG1LMLVb9TOvxAre1PiZ8SJPm7g6Hhns58fxyMzoEBN0JEme9R07Wxjoa9b4NcJixqYy5ECWPSxS1pjRlUXdW/OlTLWfejyeIRPIjuaJBYrr0KLd9K0ugspke4eLBETbLmRg0y2OyPJBxkWSRZCc++CDD577Okq/u3oGm0oCOt86H7p2fEI3PtRrR1yU4dqcwUZ58jrx32qnr5Y9opXY17Gc0+87KfVbOWJm/ojR+SNnksiQc5AIyEsltehhwa648d7BGrO+dLmEHu7Z5DP60CFxwR9iMKckXcZhTazsAoE5Y9WpHuWoay5hA+JFvBJt9LmbxvEM0XJM7hyBcWKPX8xr5lrGm/5JlqrejKX2oZ94HAtJYw7BtsMRGeJ2TOo/5eMLES1vbAQu+QFkCjd6CRZykjDHIHdZosVEqBd93FBNFi7QUUkSlMf6zEXhWGr100+MxMQ4/Tfe7Kt6U7bqRFacUq7aG8Uy07ZFMvCF/oy3IxjiKlFyHvUB3yvRsg9sJLq2UZ9HB/LiyrhZ3xm3hUH6o07kk9QpY/8WXuQL/nWlwyLl0ZF5Z99V2FcX9QyZQG40TyOihT53S/C1LurcbDtsOlw623XHxOuPBZVczIXahZfcTaKSWNTjGWwkBi5a2B0t3GAx8qFrT1+Iy4U22zm+iH3yWuzSfrZXO3meRIv7t/cFx+PviACpgxwgt8XMdsax+Nb545rHjvhhDxLAb3dGWKtvpu7mi7GQA2y6y5QkKYkJObVFtMhD+7EnUWLujIldJvJS4iSGjjMWsEAfPqFL+TxGViwldyOSMyJ72hnVo1zLXascY5ySO/02XueQXUkJ3haOqfvUjzeJlotrBumi54VmzcVLoT8JBIuwW/pMBB+J1kg/OtA16qOdmzhfWdZ+/dIP9GALOX2kpr/K1nNkckySEP2nppDckrCqJ2XRmYtoyqZc1XkwcoF/8L8r+LIVE+OqDOdgmSQXuep72gSbjmglFls61Kc/zP2e747ZwkCZWrPAp376tc2cUaq/xEme096VDgvlsZuY2E59FfZTHze+uuBlv8fVpxp3+ubOQZUh7q0FuMNF2/qJXkmU/lGzmOS16jFzqE/gx1/QM2RrBhsWnyQNI9+wyX2u+sBuyIxv4LJFtPbsJ0Yc43Patb9rt986iRbESNJm/9Y8V7wcQ8385ULM/EneUk7CA9Ea5YEEyfmnvsyOlvPm3DJvzKdEBXvkVCVF+OwY+7hvjDAzPjAg3/2Q8+jwPwIYE1+l0T5LtCQzYqHv2k3iqI2ZHS3tq8ca3zoShoz20gZtxClW6rptdUu0JAJMfhbOtxYixkm0GMcNgUl0EWEySFh+v4Seqp//eYAMizo3K0v647E6kbEtx6BbmezP49FYbhqSJ+1b6z81JWWr3pRFLhfjPE+5qlO7563BvCsz9hI79Oivv38xfvCu+dDZtV1d59GhPzO+a2cLA2VqrZ1s37NJjjHuooXx5ulIx1XbnyET+OE8SVCcaxchZPZ8cxEZxbXVhu0kaCPbdTy+sAj7x4Akreqq4/J8BpuqD9+SVKGvkgvHXMY3/VRXzku1r6x19Wev3X7rPaIF9qOdJuaf3HYu1DeqnT/jShn0+JVa5kXKzB53vjK++gDWkKR33nnnuTicgxFBQIc7WOjckqUfskFM/DZJAut88RUa60q3o5V20CMZ1O9KrmYxUq7+JittKGNt3O5o2W7ND+b5z3Dkg18NVv3K3ra6JVoECnB1R4jFqy4qyPn1EUmRRIsJzx+2I0syUI/0c9PqbKddSQ3++OEvIexZUj99+T8h0cU44kOuO1e3CyGy+o8d7CUpSz30pax96sxYU67qNJ7z1NjYKumLuIkXfnmsr9T6Cxa2i1/aSt2d3EiHNrHDx7HUSeZSv76nfY8Zt1eqHeNJX9DR2WSukkBXeznOeLSBbLVvrPwhghz9l7Ff/eF8hkw4rs4TCwF/yevXyDcXC7DpFsUOl1xkWVwTM/qYF+z7VaV+UtPHgqSPjqUeyedYj2ex2fNNP6sPXbv2WWDxIceRB4kLsthXzn51EyvzYz+6lOnatd/Ve0SL+zH3MGxLqliU0wf84Frhk3LadP6IldzxcSGM88fc6CR2bTh2ptbH9Ik1gXtI+pNzQB/EAd/qDpM/zM+x+IEsBAjdzuPWD7vxi7zlHicxSnv4gC7s0J47SukrMqxF6sg+/MhHKczgpYz/oxAd5BF4gIUx6X/iyq6V/xlADHg0BHNbcVSP9m5jvUm0bmPAr0pMJPerXhYG4wzghniRhWqs7Xa1LmzG8ynRGvd+2crCDjHfyi0IlL/J2tLV9UGyKrHpZI/d3sUCGYI4jXa7ju3T0n8zEVhE62bOy6W9WiRj/sfwlwb7xBQsMtFP2MJmjM0M0ZJg1N231MhXp+54ZvvM8Yz+GT1XJdPFop+LaF0V0qevZxGt05/DYQSLaC2iNUyMc3512Om4re2LaI1ndoZojUeu1oXAQuAFosUCvT4Lg5UDKwdWDqwcWDmwcmDlwNXlwNOnT+FX63c9t4V7r7lcO1pdLq9dmw6Z8/1HgV7L7etZO1q3b05XRNeHwAs7Wtdnelk6JgKLaC2i1eXXIlodMotodcgsotUhs9oXAvsILKI/Ai4lAAAgAElEQVS1j9FJSiyitYhWl7iLaHXILKLVIbOIVofMal8I7COwiNY+RicpsYjWIlpd4i6i1SGziFaHzCJaHTKrfSGwj8AiWvsYnaTEIlqLaHWJu4hWh8wiWh0yi2h1yKz2hcA+AptEi4fP8QTnLLT5VOh8arRtyPKk2Hw6PG08WySffp46u+Mck8ed/Gr/PwQuS7SYQ55UjJ6aA1rpZLp2x83UV6Hjshjo54wvnUzXru6Z+ip0pJ3zEC1sc91u5QG680ne5Et9Ajnjyad8fU/6NDpO2zwZfK9g1yeg59i9h2im3llsUr9PLU89HKcMT+X2QZ5dex2/dZ46Ovs5Bzzk09K12z+qJVpplznl4wNEyYH6JoDMC+VG+mnjgaf5Tkru+T5FnLGc8yDQred0dbppHz2pfvQ+xLQ7emq5fr6M52ThWz4Zfiveq+pjzsGda4Onu5vHqb+T6dqJo74XkdfvkS88n4x3WvJ2jNtSWqIFQC60SaIkWvQnmaIdedprH2AB7CJa15c23AAvWpgrFiznnbnlk6WT6dpzLMdcUKMXTtM3q6PqrOeXwUBdM750Ml27uq2vAwttUc+SCfzP1+2M8gB9EJw9EkUujWS62LUtQeCJ4Ngf3eTxAT33798/vN6FB2Ky4PtgzJknlovPDDYzviEz8gGSMGqvcREPC05tx88Z+zk+5bt24+/qJFrdC5LBmVzQZ2z5FHiOeaVOR7bod/7AiPO7d+8e5pD1hLUDQon+tNH5O9Pue/uS/Fe7EIwksunnq0C0yJ183Q6v4+E69F2F4NzJgM9oLOO5zny9EfnCHL/99tvPXtn02muvnX3yyScz03gSMptECyL16NGjZwSKiACJm2YlU4Ddve/QyeBi4aXEACwpEyV0sjDSRzLnGHTzOS9RU/erWF+GZDAXzLOF+ajv8+tkPvzww92x6EVnR7Q63eTAecplMNDOjC+dzE3CwnioZ8gEcl1cuaMwc126UKKvli4PtJ2Ldt0tURf6WdC5t3iPIV/1s+py3KiewabqI4bqW21zjCRwzzfGd0RLXTPYEKP4S1qNu2u3P+s9ouUcSG5zrMeQ5RFJcizExx2rSo4lRb5fMMmR+s9TZ+ziyPjOLu8PHPk5ssk18fDhw2fv+uOP1hEpQx/xJvkkTt/lyDG4S0iwhW53tPKYPnKG68B3HaqfnE6yOPK5a9MfidXoJdCdzAcffHCIZTQW33NHS195XyMv18bn0W5i5+dNb98lWk+ePDmQIi4QSke0mGQXY0DL3S7GASwJJ8FCn4s5Y110kZOwcSy5yuObDupN8O8yJCPnxrlzToytk+FCd15HYxmHb/khL5hfS6ebPDlPuQwG2pnxpZO5SVgYD/UMmUBuFBeEIueBRZ9r+sGDB4c5He1aKZOLI7ozBzgmDyQg2nYRJD9yJyjjQZYPMi7ULFbo42afX0fluNHxDDZ1Me5863zo2vEH3fiQ2CQuynCNzWCj/GhesDVqH+GyR7QS+9F4+n0ZuH4rhx/MH3Pv/JEzEg7kyDmuJ15UXEkt/Sz2FbfR14LaRJ61JXNSPSO7yI38VF/WxMpODthCerQlAUpZdOZcYhviRbwSbfRBSiCxHM8QLcfwAmjw1vfEHr+Y18w1MEs/9U+yVPUSCzL4XWW8/9V2X9KdREtMIHLE7RjbT73eJVpMOB9JFEnBRQCZIpFykmindERL0oQMOiFjyGZRL7qYVMfkccqv4zECzMtFiwuX48F+RLSQsyjDxTVqZ76zcC65znaOZ+zXMaPzy2CgvhlfOpmbhIXxUM+QCeRGcY2IFvrcLeG6rYs3N2F0jUqXB53tumPifYSFkBzMhdqFtxKVkR+2zWBTFy3sjkggWIx86Nr1gZq4XGizneOL2GdXROzSfrZXO3meRIt7svd9x+PviACpgxxIQmE747hO6vyxDmBH/LAHCeC3OyOs1Tdbm5NJPBjb2YXgjfwc2TMP3cXiXKLE3BkTu0yQS4mTGDpO3fjkzhe6lM9jZMVScpfkBwKD/0mi1L9Vj3KtEqROBnu5kyYOW0Rry5dT7psiWgTIjY8LJYlW3bUSCBKj9gGypAk5kkKiRR83Qy9eam4GOSaPtbPqHgEwvGhxrh0/wr6TYXEgRyyjsfQx/1tEa0aHNrr6Mhios4uTuCydzE3CQl+pZ8gEcl1cGTvXaRKrOt8uHu5UpR8cd3mgbRdC9EqiUgeLSd43PE6f8HF2V2sGGxYW8nPLN2xyv3PHRB/YYZvxDVy2iNae/cSIY3xOu/Z37fZbJ9FiAZW02b81zxUvx1AzfxIP507ylnLuCkG0RnlAf9XT7Wht+Zo2OdYuO7ZVP35CGmoxVyVMrIcjzBwn6SPn+ZBX6PA/AogLX6XRPku0creq7lQZW8pgp8o5d+4wpX39RyZJnTLc38nT0VhkKmFT322sp4kWwLCrwXeo3DRGZEqARn2M74iWN1XGM5YbAjZyTB5rZ9U9Alw0Fy3ciNzBRAdzwZwwN5ZOhq+a98aqo6s73Wm/G5vtl8FAPTO+dDI3CQvjoZ4hE8gZlyTJPJA8IFOvS8b4BxT9LiIcn6egJ3dIRrarPnxhEZbgSoSqrjouz2ewqfrwLUkV+lygqg+X8U0/Z+wra1392Wu333qPaIH9aKeJ+U9SqL5R7fyZbymDHr9Sy7xImdljc9K52Rqn3ZTd8hNd9LuDxbnzJfGq9iBzxMRvkySwzhckhftet6OVdiSF7Fph8yI7WNW3+pustKFsJ8MuIP4Zd44VI7/aVNdtraeJFgBwQ2Hxomby666VII36ALYjWvS5o8VfCZK5HJPH2ll1j8BlSQY3R3TwYW7A33li/ikjma12+iDV6rVW/0Hp//7T6U6ZvWP0X0UZ+XJqWCQOM2RC+Ro7C0H+T0Tkck5zN8IFZrRw5pjMg5Rlkat94O5vffTRmj4WJH10LLVfbSrb1bPY7Pmmn9WHrl1/WGDxIcdxfSQuyGJfOfvVTaxco/ajS5muXftdvUe0uOdzf8e2pISFNX3AD/4I45Ny2nT+iJXc4X8pioNfQaGT2LXh2Nm65iQ22TnSH/rv3Lnzgt3Ur5/srtWYkaMfgsE6pv9bP+yWSPHHrF/t6RfjXRPxkXZ3tLCV+YI91mR1ZB96eMSIu0sZz94x/9PQeSSPIEf5vwkZX2UkV7Wd/0nINao+/Kq7aHv+nGJ/S7ROMZjl8/8hQAK/6mVhMM4AbnIXXajGGm9P68JmPJcSrXHvl63uwmzlFkSGnZbcFd3SWfsgWZKi2nfd510sEjHJxnX7tezdPAQW0bp5c3IlHi2SsZ4M3yXSIhMdMvNfq/YabmfPDNGSYNTdt0SEr079eizbZ45n9M/ouSqZLhb9XETrqpA+fT2LaJ3+HA4jWERrEa1hYpzjN1rd+NvcvkjoeHZniNZ45GpdCCwEXiBaLNDrszBYObByYOXAyoGVAysHVg5cXQ48ffoUfrV+13NbuPeay7Wj1eXy2rXpkFlfHXbIrB2tDpnVvhDYR+CFHa39IUviFBBYRGsRrS5PF9HqkFlEq0NmEa0OmdW+ENhHYBGtfYxOUmIRrUW0usRdRKtDZhGtDplFtDpkVvtCYB+BRbT2MTpJiUW0FtHqEncRrQ6ZRbQ6ZBbR6pBZ7QuBfQQW0drH6CQlFtFaRKtL3EW0OmQW0eqQWUSrQ2a1jxDgIazvvvvu2R/90R8dnnjPM9Yu+uy0kf5Ta1tE69RmbNLfRbQW0epSZRGtDplFtDpkFtHqkFntWwjwJH/eRrD1ENut8belbxGt2zKTJY5FtBbRKinx7HQRrWdQvHCwsHkBkkPDIlpjXFZrj8A//dM/nT18+PDszTffPLyc+1UmW7tEi6fc8n4jFm7eT2Zha5B3M2UbfbYj78d34zn2qmt8zPcoXrX+U9R3WaKV81jnWDw6ma7dcTP1VeiYxWDWFq/c4L1j6K2YcM51Qi5epDCOd8BhY6tUO1xb573OzkMm8t14vPqkFrDj2tOH+q5D31c3Glt11fM928qDHe8/xAfsbPnkmK4+DzbMlfH5Lr7U2/mf/vH+ucssQHwlQ+xbT2Mfyez5nnFwvEe00Jcve873HNZX5lTb+M7777ZiqP7Uc3Jg9FJr5ejn/XzmCJg7D8w57eQu7/G77oJv+f7C67BP7L5zcJS7+JAy77333iFPsy0xE091+l7FtaP15WxuEq16U+ecD8UbPGQL8C0cdy+bRoZ+xjB+r8zKkqiLaD2PJhfBRQt4QhqcI14szCdLJ9O151iOudm+9dZbtflwPqtjODgaZzCYtUXe11zXFLHcu3fvQJTQNypb8friZm70yHWl2kmdNY5OB+2zZKLqry+TRhd2R9ceY7kP8LsMjiEkI7KVNtJn27mBY6N7kTRyd+/ePbzWhfsFvvBqFOqLLNyz2EBeyIfudyed/8SShAA9zH8lW4wnjtpeMbp///4h77pY0VNl9nxPGx5LtMS4kid0co3gb/qec0cfcsxNxS3Ha3O29gXbSfJzLP7UHIFcXAXBSzsXPQaj6yRa2MsXafPiZ3IwXzitjC/DVgbMRr4iz4u0IarOs++lZB3ZyuOL4nZK41qiBXBbf2EzMT/+8Y9fIFVciFtEy0WFRTAXLtupLbalrAQvFyV8Hd3s1fMq1jMko8MFjHMeuFGRC+Bs6WQ+/PDD3bHoQGdHtDrdaV8/tuoZDGZsbeWX+f7xxx9v5uBWvMSAja3rbc8O/bN/wMySicQW/Vxj4JVlC5uU46brH2nZvocLsp1t+tBJrnojxz8WVbDsyEfar8cz2BDzeXZg9B9yQry582P+6b/+ILdFtNDJy5nZMeh8Gcmc13f9kWhJarwnQ5i0M3qHYca+ZZs4RgRM+3s1upPApjwkLnNEWz//+c9b7HI8x+jna7DHjx+f3blz5/CH6OhdhsTLfCQRxR64Mcccg2XunqFb8pLH2CUPmOdf/epXB5fUT552O1HV93quPxKrn/3sZweSlPF0MhAp4ktZ9FcddXz14VU7b4kWN4AkQgkMk+/C643OfhJhi2jRnwsCiZW7J2m3ymLXxZlxLkwcL6LlDHxZz5CM50f831md08RaqU6Gm0KStDqWcfiWn/qVW6eb+T9PmcFgxpY5+eDBg4PfeV0wnk+Xg/RlrBzXeImp4lTjnLGTftXxeT5DJlKeY+yjv+5E4Ldf23U7CsqAo6XDZUSOOtvoQmcuouQIOzj4AtadT/pR6xlssMn9JvOh4pJ6WegTOxZdcuCDDz544Ws/ZPEhcwbZios7QLR3RGskk75jJ/1Kn+uxRIt7MrEnkWB+t3yQQG3ZZt6SgGKfxbpi8frrr7+Qg8jiQ0e0XPQls9jiPgXR8uvEJD41dvUjC16QHnQSlwQox4B75iTzLcmWPOMvO0CQU45niFaOwZ7za1y04RdzlfkDZumn/km01OtulLqJocqgv2KmfXa9uBeY15WMJUav2vGFiJY3fcAiaSVdnEuOnGgSGBmL/Vx0FOpcmOmXqFVZdVBnH4lC0lOv8iUC4H/RkvOLDnCV1Kqzk+EGRp9lNJY+ckLSrKx1pzvzSNmtegaDGVvkKLoyZ7nhPnny5JCr5OJeDm7FSwwdTvQxlmtiZEff8K9eax02M2TCseh3sdsjLfjHdZjzjx4Wmlx41E29hcuMbW0Sv58kD/bjkwtC2q/HM9joF4snhXPJROpTzrlxxyfbRyQKHeDiopw67eM6g9yRNyOSw/iRjLb3fK82t4gWtrZIknmTtpkLyYpxdESp+jI6B4duvDlgHjMflbAp0+0SVZw5lyhBXNSdX0lCNMSmkg7sMW/MA7pmiBZ4cS1JfpzjJFEjbGpbJWjGUolWXjMjGWMQsyR55HWNufrxKp1vEi3AAuAsgMuNzJuaNRcRhX6JUo7z2PHKU1eihX7aqyy+4JM2qZGjfREtEf6yBpuLFi6wnJMRvp0Mi8PeWPziJrFFtGZ07MU3g0EXR+Y9OUZOko8U8SDnMhc57sjOVrzqrGTW+MBixg6xpJ+Or/UMmahjOFf/1u6NWCkjvh3J2cNFP2ZsI1vtd23qrfUMNthIYkU+jMhO6mZxY24++uij58aii12AumMFLh3RYrF1YTcvJDPa7GR4thF+OD8zvqPzvERLP6iJHbxq7Gk7jx3Lwl3jrARJWcZ3REsZ6yR4tlF37fRV/7gXQGQlz6mHY/AnZ/2Q/+hwN8h54zdQtM8SrdytqjtVxpAy2KlyzAf3FAlb2jeOGRnt5dxK+sCSWBfZ+hLRlmhJckiULN7wXHTo8+ZGG5/zEC1uKLkjluf6gH4Ktl2As49EYbKpV/kSAS6wi5acA3Tk/Kqzk2GXJ+dzNFYdXd3pZs7PU2YwmLFV84sx7jDpT5WxfbZmfEe0UseWnbw+ckw9niETdQznM/pThsWG67UjWSMbXZt693Rh0/uFulw09sYiP4MNc5DEinxw90ibtdaHGgdj625QHbt1Xn0ZyaZMHiM74ztyW0QLnVskx9jr15xp+ypw2PIhcSFH2Emq+aCftZ2xxOgOlrhhryMSEA3633jjjWdkLPVzL+t2tNKO5A8CI16SmYzpPMej31OxfqbeGRlsEhN4sqtFLXmr48/j322UbYkWwZJcdQeJxYubRRbkXCRIoC2ixTjGo8cdM89p45M3SvuQJdH0h7/gvvGNbxxksb+IVs7I5Z8hlbsozpP54PyMZPCia8+5d64zDzKCLR0pt3WM7pkyslVjNQ/ROdq16nIwxxmzeOKbfzDYR82Ow6effnrIdbE2jrRDX45LvcqP6hkywTj0544C+vkLnh0Y/aoy7pbUduNyJ6XDxZ2dOh7b9BE/9v3qi3uCj1jABjf8OlafRljUtllsWGDExt2k9K36UP3PeTMWfEm9yji2+so5NiV9aT9lU6ba0PeUHx1LtHK8fpHD3H8lL5ADsSEG5XIs7WmbMSzUI5Iz8sc2bac91gV06w85wg/YxTO/6spx7pap0/HYAkMIELrV4//I05es0cG8kHsSGHS4o4V/6MIG7e5ooSNzABnWU3VkH374GIW0PXPM76mMnfnha0N8y5irDKSSecodM3fLMrYZfGZ8vE0ym0TrNgX6qsVCsr/qZWEwzgBusOdd0Maabl/rwmY8p0m0RhIQAP5guWhedbtMI1vHbvv/7Z0/zx1H/cULXgLiDSDh5A1ESEkHLlwjSGhCZ7+A2D3GdBEK1MQ1bpGQqWO3IFLHlESkBVFG0fPT5/5ynhx/PbO799/u3rtnpOvZnfn+PTO7c56517vaOdIfBfiDSIjQntt/7F8fAiFa1zemu4xCMo7f1bvSqbH7S/bQBfFaMVFeIVpC4vV6jGgdQ0SO0X09ytOc8du4+turtcV4mkxjZS4EQrTmQnpmPyFaIVq9KRcy0UNm2m+0+trX2zNGtK4382QWBI5H4A2ixQKdTzDIHMgcyBzIHMgcyBzIHDjdHPj666/hV/ldz/HcdR0WMpbZ0erNxOxo9ZDJjlYPmexo9ZBJexAYR+CNHa1xlUhcAgIhWiFavXkaotVDJkSrh0yIVg+ZtAeBcQRCtMYxukiJEK0Qrd7EDdHqIROi1UMmRKuHTNqDwDgCIVrjGF2kRIhWiFZv4oZo9ZC5fKL11Vdf3fA5dZlCtHh2FC9e5uGtn3322alDiL0gcLEIhGhd7NANBx6iFaLVmyEhWj1kLptoQXSePXu2+3B8yjKFaPEsLZ5BJcKlh8+eMo7YCgKXiECI1iWO2oSYQ7RCtHrTJESrh8xlEy3eJsC7DB8/fnzzxRdf9JM8oGcK0ZJZnjnFzpY/8FN9qYPAFhHYLNHiZnD//v3bFwVf2+DPSbTAco2vQJoTg7H5syaM1kS0wGVNT9xeAzbHYMKrf/icukwlWuxmDb1s+dRxxV4QuAQERokWFw7va+LdZEPlkIVkSIctaH858ZDvQ/rIh1dGHFqGYj/U5in1zkEyNBewXecD57WtlQ+46b2Y9LtN7PIOMMb+FOUcGHhcNRf19doPxUh2T1Wfm0yQf33BL228o5Ax4X1qXqbgwpzQOw2rvts69vhc2LQw8fch1pz4Gg5cxp7gjxy46mu6cxOt+qodrl+955Acf/nLXw7upjGOzA3F6+9F9Pfs9caRV/VUXA55fY/iZrx13+F9fxTv03sRye0UfxCQv9672HtXIr70TsQqQ5+/dLqH0xztxOLvaJzDJ2PDODBuH3/88e1LrOXb+zWuf/vb33Z/fPDHAm366D2NzMHvfe97u/Y///nPo9ecfO1TjxItLlwCg2yRRK8A+r67GkM6U26+vVjG2slj7MXXYzboP2eMU/wPyTBmpyyMFS8f1V/LkFQnqtxAwHRojiBPXE6mhubAsfGfGgOPp5UL/b12+g7FyP2e4vhcZKLmr9eYkPdbb721e60J84P7BNeOinDpfdXk/RxDuCoxka1j63NgAxHALvPeMfnoo492N3WuAX9RNjmQJztDPUwk89577+3+cBFxOTb/nr52tIjVSTSLFONJnLy6hpj52vDRo0fN2J1AkiM6kEnHoEcuNXfA0knZIUQLfy3iRLu/XBnbXNPE5LH3cBpq9zHlGMLleaBL+9tvv717yTP5EqPInl7yzDwSKRzyd+4+sJqTaGlsRD7Bg7H55ptvblOdGhPzFmz5TxvMQWyg+6Mf/ehG9m+NnuBglGiRCD+wrMSESQD5YjFj8SVILrjnz5/vbiiVmLm8brLSofaCrPuTrhZ5ZDkmNvURh+zKFjK0QxDcB5NZpIB2vkJ8+fJlM25s4Qc71F6wX/P0/iWPifeURXjLJhj6jqPGAbmhAt6+o8X5vgR9yL73nRoDt81xzUX9vfZDMZLdU9XnIBMeG/n7Ysx1ybWjBVTXjUgEuDAHxuaOfLD41WtdfcfW58KmYuJxKn8nj622qgOp0YIxF9EiBpErfgfm4+zxtY7Jqfe1ouereVJtSP/Jkye7+67mzymJFrlhTzFwnyPHL7/8cjc/maf//e9/a2gHnWseyxdG6o6hsJZP5tE+O1rIQ3xfvHixI3asheRSC9hCPJz4CQtICMeQbZE8Ysa2iJYfY/vzzz/fjbXiln2uL3aiPOcaS+/c45EPsPB8ahwtW4qlEqpee8vGvm2DRMsXU90scUAyvljy40tkGUQRjyF5+vhgp7XIttrdHjFw4/70009fi0N26XdiAID+X57R1U0dX0Nx0ydZauWHD8eH8zWVU5OMin+dA+TumPewqHrCn3h9p6unv0/7qTGovmsu6u+1038IRrJ7qvpcZELxkb8vwMpZN1euG/7Q0ULpuEhGtmqN7br7U2WOOT8XNhUTj5HFlfuK40F/xa3qcE1CsFo7My57imPtaGGL+yn3ba4v7bZM8QEGvVjBAJsVA7eLX4gapAFZ+a5EiwWZcSQ+ffiayG0Ti76eE3nAVyU6yInYMG9FuhSXCIj8UOsrKcm0avl3YoOcyISuA3ySswiLx9OyW9vkh/mFDeyDney5vHLXDhE7RsRHDL7rAx7sqGF7CtFSzOiQF36Yu8pRefe+2lOM6DHWiq/aRY42dqUYB8aVrw3dj3wxDysGn3zySRcbxXBoPUi0nLgAtnYwdANwpyTIAFJTkNeuUZVXH/9LxnVkz32pze2rH6Llu0yyywXJ8Z07d3a1bFC7nda526hxY9d32rDlhNP9LH3MRDtl8bmA3VbuFduW/5ae5MCXGwK+TlFOjUGNqZdLrx39YzGqMRxyfi4yoVjI0YkW48p1znjoU4kFOr1FWHapudH67pj3neL4XNhUTIiV+4sIAYuCvlZUHj1MuEex+EIcejKycaraiRY2WfSIvRKFIX/Ezbzw3TcnRS0M3B7zSDtibqsSLdeZcqz5CXHTfU6LM/iKaPnxFLtDMr15TCxcB5oXXC9O3PaNAXmRIeKRPqRHY4gPcmdcJAu+dbcIfcXHuLt89eM7WiKPIkjeN4RR7asEzXPReLmOYiU3+aYfAultxKffaPXImds95LhLtAiSm6FujKq5OTAZneDgmKSdNDFQTrSkT41d7FcdJYCuSJ3aqPGpC4GaWFp2paMcAA+blBp7jaHG7XnKHn4pVXfXuJJ/wOWUZQw3+dIY6bzWYDZETsFW86Pq7nt+agyq/14uvXbpH4uR7Bxan4tMKB7yd6KldtUaY99hoI/Fh3nWK5qDrZtqT2ff9nNhM4YJi0gln8QuTDxn2nwhZp6PkZR9cajyTrS4RzK+LFCVOFU9P5eeEy3vBwPWkDovJMP9V0SLNuS5lvg44XPypvWh7mjJpmp08P3rX/96Z094M276A8CPXW9sJ0ayqhW3fKi9VSsu7b4Qg4hfS762IS/yRB8Y8h8WIPUt/5AQrjN9kMGGdv+EJ1+77UO0HCMnjoqXPF0GP1UO3Jj7Ik01N9nyGru+ewXJA79//etfLnZ7rF2t//znP7dtpzjoEi3dDBkYFbXxm626GJJ0j2g5eZEt6qqjPtpbizF27t27t/tw3LMrO6o1acjFd6RaMbhNjp3wjZ3L3xpqJuopS81dc8HnB/4cv5b/3thKVoupzo+pT41BjaWXS69d+sdiJDuH1uciE4qH/IeIFjdL5k8twqW10KLDgtpaHKqdY87Phc0YJr3FF0y0e9XKC7siAq3+U7WJaHG9c58XsdlnXA7FQDng24mW7PHNheKR7L618IeAOHl0osNY0Oe/CdrXzz54YVtf32nek/O+RAt5fW0notHLgXzJkXVWZEzYQHAYA+Zba0fL/VTcGDeRxX0xk3yN3X1IptYQJzAXOau7WWPytf/Q8y7Rav3VzSCLANEvdsvvmJiEPaJFcCygkqdGH3uuoyQYTIhcvRmr3Uley271px0t3cixo1JjqDLVvsfEMXmssZyDZNQxB7taNEaOEzJq9znAOELaa5uPT7W/z/k5MBjKhd8BktNYPsJiKkanwkPYnYtMECfXc82f/2iiRzPQxzXVKtKvuHBed3DAuf+FA9QAACAASURBVEXIWnb3aTs1NsqpYvKnP/3ptZy4h7Z2eqTPwtYqXINzEi0tur7w6zdzamvFSZvngiwLpY+rMKhyske7Ey3aZWNfoiU9jYvveLEwKy5iEilBh76xPBVvrdFv7drwnwr0Px1Zf/T4B2LjKy78kTvjrLjoqzs+knEsmB8QIMiocq0/Avc4ZYPrS8QIG9rRYi3FVt3RwgZzQ/kh84tf/OLWhvcRx4cffnhLftz/2DFESRgwNuxMEZ/+tyD3CsVQMapEDV+Mib42RF42x+LYt79LtPY1dGp5bsYtEkNbvRFP9Y1u7yY/1YbLHROL2znHMZNmqdIbu7njWRKDsVyXxIgb1aGLxVhex/YLl6XiWyM2ldwci/Eh+trROkTXdabkAtkY2sVze3MeQ7KcxMzpe4ov4SaChA4kxL86nGInMqdHYLVEiwlSd7uYSP5V3j5wtOzto19lT22v2j/2fEmSsRZslsRgbPyWxGiNZEJ4gcscOzTyV+s1YrM0JmB0KqI1JRf+h1v9jwF1nOY+nxL33DFVfy3ciDtEqyI1//lqidb8UFyXxzWTjLmQDgZtpNdIJtqRzt8abNqYn4pota2nNQhcNwJvEC0Wp3yCQeZA5kDmQOZA5kDmQObA6ebA119/Db9a7nc9181n588uY3mz+4NhfuTX7zG7Nv0xCjZtbLKj1cYlrUFgCgJv7GhNUYrM+hEI0QrR6s3SkIkeMje7/9G01A/x+1Et3xOitfwYJILLRSBE63LHbjDyEK0Qrd4ECdHqIROi1UMmRKuHTNqDwDgCIVrjGF2kRIhWiFZv4oZo9ZAJ0eohE6LVQybtLQR4piDP5Pr973/ffD5cS+ea20K0rnR0Q7RCtHpTO0Srh0yIVg+ZEK0eMmlvIQDJ+vnPf37z0Ucf3T60tCW3lbYQrSsd6RCtEK3e1A7R6iETotVDJkSrh0zaKwJ//etfb3gbxG9/+9vd89B4/uXWf/cYolVnyZWch2iFaPWmcohWD5kQrR4yIVo9ZNJeEWA3i1flZDfrO2SaRAugeNeRv+qGJ8zqPYffqc9zBCPm3UnUcxT88PJpcJjbdyu/Q2I4J9HS/MDHoa80OoWNFlbetg8GY/Obft6DhU2/LvDH+PAOsGPwGPPvPtw/x/htxeVY+PE+RItx0vsLe2NN7Lzvjhj8nXxTdD2ueuz6vPNtqICP3qeILLiQZ41pyAZ9+2BD3kMvz5YvXjsDPrzL0OPSuB3y3kbP1zGXT+qKH7sKh/oX0cJmfd8gOPjT/InNX8xcYyWOquNxTzlGX+/f670Wx99n6DK99il+TylDDnM+tZ2x0/sS9Q7Fmo/LfPzxx7c7Ub12Hwe9Q5G23/zmN7sx5rdaKTc3TaIFMFyQ3AAAmKJ3kG0BNG4MIlqXmi838XMULiIIB/ODwvse+bQKOPJXTS372Ki6+5xPxYD4kdXLx6sP8hDR53rguhDpoPbrpOrqvIcF/VP8az5ihzjB321WTOW3VU8lE9iEIAyNdcUGUgYmVZf3xJFn/QrBc/BYpS8S0dNHR2Ogl0zLphZ0vfTY7feOp2JDPJozQ6+LIZb33ntv90dq66XRYAtmil1xoccrVSpe9NOndwFyDMEUTtKfil/Pv+yo3odoQSwZE2LvxUqfy8nPlBqbb7311u5rKa5H8KvEARnhBxb+0uZWewvnKbEcI0NccxEtx4Bc2XHievzmm29uU+jJMG/BT0RKusz7t99+++bvf//7jidA4uo43Brf+EGXaGlB4UJkALSbpXZuMlxMXpDVzYeJTkH3/v37u+9stUBIjgWb/lpqPzJcTNTVXl3kPD7sULytxizf2CUePs+fP78lWu4bWcVWF2XypY38+TCJx2LVAkvtRT6ETy8G9buujonhHIXYPF7y7r1/kr4W0drHxjE57IMBGGuOV5/MGc+Z+Jl3r169up2XVaee97CQ3JB/yagmljqPNceJbaxMJRO9cXLC0MPm2bNnO8y0gJG/73Ioxh4u8j2mD26+myK7qsGFe8cUXNCZig2y+B7a0cI3hIgdlFaMiq2SJGyDiwiBcunVkD7GQVghR760q62F/5D/6msq0VLOPfLpsYJLi2RW3/W8vph6zI7nKTyw2Wt3f4zxgwcPbl68eHHzgx/8YLc+fPnlly6yO8YWY1x3zjQGxAiGrBEQEwq2RbT8mD7Gi7mjF0TLPvPzEDKDf2IRsfr8889vfvzjH994Lj2ZP/7xj01d7u3ci2RT46CYd0nmnx0CXaKlweYv6cePH+8uZCaDL0Zc3Lrh+w3T5TiGEIgQ6QaKfSZP3Vps9WPDiZbb8xu9+8U+cRNXL+YdAt9OeGziu8brvns50u47DiIe1ZZiVTv+KNRD+HgMLXyUh9f7kAzXGztWDpIjNseXdmTw7x8nhVNsyP4x9T4YtPKQb8ecNo03ZIJx+9nPfrbLVWMoPeoxLCQ75F8y1Mhprno7flr+XUbHU8lEa5wgFuSv0sOGa4+bsBY24nZS0sNFJE6+e/ruv46B7w6xKNPvbdJt1VOxQbfmVO1pxwa5FtECu0o00CGGeu0Il+oD260du0pGWrG2/Ff7Op9KtHq5YsdjZVyZRy3yzYJdMfjJT35yO4YiBJob2NEOn+L1GiwqzvT32l2XmNnNYQ5BIIbIRMUcYgPxIj6RZuxBcCCiHE8hWq6juLk+lD9txMUY+bwBM5EexSZSJJuQPtnpyYCtEyrp8vWgt0PenBw6jls/HiRagAOQWiR7N1UIkxfOmZjIMygiScgw6fQ1jOvouNXvNvxY9kRyanz01zbsS14+kSFe5eEy1Z90PEf3gbyIR9WVXf2177aIiX4+FR+30+qXHa/3IRmuN3bMBc5HxfNVm2pibe1o7WNDtg6p98FgKA+Ntd/EmC+MI22MP6XOI4+5h4VkhvxLhprrkY8KPhVX3WWVTK2nkonWOFWiBTZc34qBGmz0x5l8k58TLbX3cOn5rjsl5E8+2hXSGDA2WqzBperJf62nYoNeLyf6yEuLP3ItouW7OzUO9LU41z4/xwbzQYul+lg0wVDtrViH/MuOaidadbwZc9YIyCBxt8gTdmqsrZjkb6jWnNP44t+JmHSdsPlOUq9del7XseNcRAmMFQO7TOSvcRYOvmOEXWLXzhe2phAt4gU7kSTNLZEoj7d33JoP5FGJVp0zyDCPfRdNGHz22We7a18YaBz2iasX77W1jxItbly6sftNXTdUJg4F8LnYaNcHedqdaCGLDjfj3sJQ+92GH2OLSSfixCRRrLugvl38FE+N2WVcz226P457OXq7bLmux9oiWuABXpSh/Fv9O6XyD7meo1SMa47uExx7REsYIT9kw+3te7wPBsQggjzmh3ES0aL2a6DOddnqYaH+Kf4r9tJVTb/Ho/ZaTyUT1d+UcRI2rR0tLUIeTw8X+Xai0NKXP+1YEWOVY5EBF8m4/3o8FRv08NUij/SxMPoCxFx0wkfePUKCPv1jRIu8uI6EkedS+youY/7dFsdOtFh4nbi67Z7dGg82Xc/9ORECNz4tIiUd5LnuhsYX/y2ZXrts1xi51mv+kqUWeWX+8mFssKEf7isffu9E+1Si5btVvlMl32DgMsJMpEf4i6y5b9noydSvCFu62NA4yKfsph74MbzA4UamRZGLSKRG/ap1Y+RcRAFdBqW3+Ggyykat1e82/Bh5j0k3XS18tb/a1zk29HUfbW7H/fVyVJyyp9p1aVOsPGPE/VX/0pfdaqf269xrLrRzlBqrYzXV3ylsTPG1DwZgPJVocT205rbG1+fflDiRGfOPT12HPZs+P3sytE8lExonfW2lsR5a0IQNuk4kpuh6zFP1wc2JlcbAY9QC0iIk7nMfbJDFd49oud0aI31akKfE5LZ0jD5Y9/Rb+DnR2Nf/VKLVwqQXa41Rue1bY99/G9XS782BXrtskI92sGhTzHWnSvKQDebEvXv3bsmo++DewHwlXmw70XI/TlrwCbk7hsDU32S5fcXek+H3acSmnFu62OBH8mPjIF9bq/fa0QIcbuZi5dS6+TNptKvDX258/dVajFy/taPV6se2yJofEw+T0Mkf8Sg+4kHebXrMPtiuhy9+wM9F4f447uWodvlu5e6x1piQr/gKH4/B9dTveeiYOM5VHCth7L48RuFR5cZsuL1Dj6dgwBiz26E4qTnnh+7EzLgwbmAtGfJT8Vxb4+H90ncspvgnBumqJkZ9dak2t6v4WvVUooVuHSd2Mvx/IoKNHqtAHI4NC6DHJsKG3R4uLtPS51qov0nClnaPGIMnT57cnuMfXNxuCxO1TcGGMeMeodyoGY8vvvjijdiwS8yVDDoJlW9qFmXlIvs1fuZDlWn5Bz/JuQ3GrOffY/HjqURL2GjBZVFWDMqHWCHC5EGMPbLo/v24zjl9rQXO+t+FFSPyhyj02mvc8odNSAbrmeLX/76TjNfYYazJUcRIcaHP/MRWJVrY8LFHhnVNNrwPOx9++OHtV4nuf+gYIqSxEB6KTePVksFmq51x4D8ICBd/HMRQHFvsGyVaWwRl35xZjLiAVTimbcnC5N96CQbtGcDNdt/FrW3p+lqDTXtMRbTava+3+g7O6z2vn0GytMC/3jP/GaSBXSPfCSUKiIiT5Pkji8drQCBE6wSjCLESq6du7WycwM1eJkIy8mT43oQJmeghM/1r1b6F6+zZh2hNISdTZOZEkt/D+e/O5HttcSqu1JeFQIjWZY3X5GhDtEK0epMlRKuHTIhWD5l9iFbPRtqDwFYRCNG60pEP0QrR6k3tEK0eMiFaPWQgWtxT8gkGmQOHz4Gvv/6aa+hwA9ENdpkDmQOZA5kDmQOZA5kD7TmwI1q9v2bSHgSCQBAIAkEgCASBIHAcAvlvasfhF+0gEASCQBAIAkEgCHQRCNHqQpOOIBAEgkAQCAJBIAgch0CI1nH4RTsIBIEgEASCQBAIAl0EQrS60KQjCASBIBAEgkAQCALHIRCidRx+0Q4CQSAIBIEgEASCQBeBEK0uNOkIAkEgCASBIBAEgsBxCIRoHYdftC8AgTzfpf18l+CyDVwu4BJNiEHgqhEI0brq4U1yIAChSAkCW0Qgc3+Lo56c14ZAVqC1jUjiOTkCLDb/+9//bj755JObDz744ObevXs3jx49unn16tXJfcVgEFgTAiFaaxqNxLJVBEK0tjryG8rbF5t//OMfN59++umGsk+qW0bA5/6WcUjuQWBJBEK0lkQ/vmdBwBebEK1ZII+TlSDgc38lISWMILA5BEK0Njfk20vYF5sQre2N/5Yz9rm/ZRySexBYEoEQrSXRj+9ZEPDFpke0aP/+97+/++H8D3/4w5t///vfs8R2Kif8Bu2nP/3pza9+9atbk8rpd7/73a6N848++uim146Q7ICZPtLH9l/+8pdb+7TrXHru/1YwB4sh4HN/sSDiOAhsHIEQrY1PgC2kP2WxEQlxPCAS6EJgIBIUiIWIh46pHz58eANBE/FAFtIhskJ7lTvEvsfisWL78ePHN/fv378lieTEj//v3r27a1OOvfaaH+cQTunjQ0QKPNxXy7/Hl+NlEJgy95eJLF6DwHYQCNHazlhvNtMpiw3kQztakJlnz569RqhEMCAULaJVd8GQQRZC8uTJk13NueSqnan20ZOsD6h2qvCr+ESs5Evnqms79hS3bBP/+++/v9sFc3KFDf9PBS3/spF6OQSmzP3loovnILANBEK0tjHOm85yymIj8iGgnHCwq8PuDURD5AQ5HauWrvogRNiFqFTdQ+17LPLnbe5POYksPX369ParQ4hRbceex8W5ZLDl/ZAstfX87xTyz6IITJn7iwYY50FgAwiEaG1gkLee4pTFRqREWDnh8D4nVTpWLV1qiAg7Wf5Vn8sdat9jkT/s8hUhO3LvvPPO7jlhyLksMnfu3HmNaKHv7Tr3HTNsiCjSzzmkU7t00mn5py9lWQSmzP1lI4z3IHD9CIRoXf8Ybz7DKYuNkxIAY5eGr/nQhcDQX9shLhAqJ1ACG3l9Fdn6unBf+8RRY5EvfW2nc8VTc4JAaZcNHRW1+3nPHztckEeIokrPv/pTL4cA45gSBILAsgjkKlwW/3ifAYElFht+mA6Zovju1SHpijgdohudbSOwxNzfNuLJPgi8iUCI1puYpOXKEFhisfEdLf8q7hBoQ7QOQS06ILDE3A/yQSAIvI5AiNbreOTsChHIYnOFg5qUJiGQuT8JpggFgbMiEKJ1VnhjfA0IsNjkEwy2OgfWcA0mhiCwZQRCtLY8+hvJPX/Vb2Sgk+YbCGTuvwFJGoLA7AiEaM0OeRzOjUAWm7kRj7+1IJC5v5aRSBxbRiBEa8ujv5Hctdg8f/785g9/+MPNq1evNpJ50tw6Apr7W8ch+QeBJREI0VoS/fieBQEtNi9evLh59OjR7WMXZnEeJ0FgQQQ09xcMIa6DwOYRCNHa/BS4fgCy2Fz/GCfDNgKZ+21c0hoE5kQgRGtOtONrEQT2WWzyzKrzD9GxD3A9f4THe1jLPNpn7h+fdSwEgSDQQiBEq4VK2q4Kgd5io9fJ0O8ff73MJQKhvPxBqXqAqnLz1/P0+mSnhQ22IRMqTp6k5/4lRx/vStRT81uyikd+/X2RsqO6J+v5IVvlhIPsqO7J1XbF1GsnL38fpOzPXYNhShAIAssikKtwWfzjfQYExhYbFn0WfxZHyMPDhw937znUYkqI3q7dCuw6mWDxrm2eHrL083nw4MGtHxEW6cuv/Mi/yIHHIln3Qz+vAHJCAyHgxc93797dkRzO9b7DXp/7xz44SZ8+5V7JU8u/4nO/yqsVq2JDhryVu+yorvYkW9v93GOXHdUu1ztGtudH7cjUd0DKx5w1cy0lCASBZRHIVbgs/vE+AwJji00lWq2XQLM4t9pZWOnjwzFFbZ6a2rTT8ezZs1t7yLk+x5CY2ib7tHssIjzypwUeeemINMimztHRce1TzLJL7O+///5O3skV+rxcW6XlX33yofOWrOKRTD1XO3Xt07lqyXJeX/KtPq9dr4WfZCWnurZzXvGTzJz12NyfM5b4CgJbRSBEa6sjv6G8xxabSrRETpwU+DH92NRHC7LOqWVDMKMPIWJhhqxAtFyGY2Qoisdl3L8fSxbi47qcy5eOITUc4//p06ev7Wi1+jwmbEsXuxT1Q7LU5vG4/51CIZQ9WfSIR6Weq5269ulctWT9nGMwIJ9a6BMh8/Fxfffba0dG+FQfc54zF1OCQBBYFoFchcviH+8zIDC22PiC7ySmd9xaQFttnhpkhN/s6Ks+t42c62vxdpnesWTlCzm+IoQsvPPOOzf37t3bkRGXQ+bOnTu3ZKbXh5zvliHnBIVzvp703yL1/Ht85ErpyXo8yGl3Tza87snWdj+HYPnXqkP21Of6tCmmXjsyPqayM3c9Nvfnjif+gsAWEQjR2uKobyznscVmX6KFPF/dYZcPhKHV5jCzIGunBF2IlwgHcq6PHPLeBjHS13P4k2/Jype+itM5svhpEQKRqKE+ZHq+ICwQR8+j51/xuK+eLDLCCt+yT7sTPWwOycoGNTt4Oh+y6fEp5ql+3C46NT+3N9cxMaUEgSCwLAK5CpfFP95nQGANiw0/+IY4USAOEKBDi8jTofpL6g3tJo3FpV2kMbl9+s9hE/+Mtf6DxT7xnFp2DXP/1DnFXhC4NARCtC5txBLv3gisYbHxnRftJO2dyLcKl0y0SOHS458ybuTIZ+myhrm/NAbxHwSWRiBEa+kRiP+zI5DF5uwQx8FKEcjcX+nAJKxNIRCitanh3mayLDb5BIOtzoFtXvXJOgisB4EQrfWMRSI5EwL5q/5MwMbs6hHI3F/9ECXADSAQorWBQd56ir7Y8FupFy9edCHhdzX8iPnRo0e7/9HWFUxHELgABHzuX0C4CTEIXCUCIVpXOaxJyhHQYsPjEXjGFM+W0qMSXI7jf/7zn7sHWULIejJVJ+dBYK0IaO6vNb7EFQS2gECI1hZGeeM5+mIztqMFVDyCgB0tPY5h4/Al/QtGwOf+BaeR0IPARSMQonXRw5fgpyCgxWbKjpZI1qtXr6aYPkqGxzzwEE3IX0oQOAcCmvvnsB2bQSAITEMgRGsaTpG6YAR8sfEdLR4cqmda6Zhzvl588ODBzfPnz9/I+pAHUbZ0Wm1vOEtDEDgSAZ/7R5qKehAIAgciEKJ1IHBRuxwEhhYbXpMCoZryFG+9cgZ7vEZHXy1C0mgTaZMcu1UvX77cvabGddRPm959CJqyozZ/sGc9fvjw4S4Gfygm/rHJh3Y+LneIfcWimLMDdznznkiZCylBIAgsi0CuwmXxj/cZEBhabNjhgjw4YRkKqe5EoQeBoVDr3O1VHWRrm/To4xjSVNvkh3Yneu4bQqSXPLtctTXVPnrIKjd8pVwOAkNz/3KySKRB4LIRCNG67PFL9BMQGFpsIBLvvvvuLVkaM1cJEgQE+/pwjgxECIJCqTqtNicykn/27NltXJUoIe9FhAjiqBcvu86h9hULv1nznNx3jteLwNDcX2/UiSwIXBcCIVrXNZ7JpoFAb7GBRNy9e/cGEgE5mfKjdBEPdo4oTmCqaxGdqoNcbXM7xMFXmtJHvncsn/zQn50sfdVXdQ61r1jkx+NQW+r1ItCb++uNOJEFgetDIETr+sY0GRUEeouNvj5D3HeCivprp/qtkr66gzBxjA8+EBHscqzfM1UdDFai5Xak52137ty5fa5Xi+wQP3r4VWwu57am2Fc+kq05vQZKTlaLAOOYEgSCwLII5CpcFv94nwGBLSw2jx8/3pE34PTdq0PgdYJ2iH501oPAFub+etBOJEGgjUCIVhuXtF4RAltYbHxHS78NO3QIQ7QORW59eluY++tDPREFgdcRCNF6HY+cXSECWWyucFCT0iQEMvcnwRShIHBWBEK0zgpvjK8BARabfILBVufAGq7BxBAEtoxAiNaWR38jueev+o0MdNJ8A4HM/TcgSUMQmB2BEK3ZIY/DuRHwxYbfMr148WLuEOIvCCyCgM/9RQKI0yAQBG5CtDIJrh4BLTZTXip99WAkwU0hoLm/qaSTbBBYGQIhWisbkIRzegR8scmO1unxjcX1IuBzf71RJrIgcN0IhGhd9/gmO3ux7qXsaC31eIVjn7+19GRbCrel8x7yH6I1hE76gsA8CIRozYNzvCyIgC82rR0t2njljQoL9rHPosImxO6QUglDfYq82xzqczk/bunw9Pr79+/vHnpK7HrKPNjptT4VpyoHUTuk9OzUdo+jFR856IXah8RxjTo+968xv+QUBC4BgRCtSxilxHgUAmOLTSUQIlrUDx8+3L3SRot8q43gnBRoZ0jEw3U4pp2YKplT+4MHD25fJq3X9yCvV+sIjFafbLhtyUFOXr58uSNO1Z5j4Mf4wiaf2u7n5FV9irjJBi/JBke91kd5uJ3esWy04lB8yECYsZHy/wiMzf3gFASCwPkRCNE6P8bxsDACY4uNL+6EKtJALXIjglTbnFygC6mBYLCbBQGQvWqHdvqxJxnJY1PH9LV2oHZKpU8x0ue2/bhnz3UrHjpXLd+ca2dJ+anPYxAmkFbl63Jul1iVu7cjr3PVsuHnNVfJbLUem/tbxSV5B4E5EQjRmhPt+FoEgbHFxhdqAoQMQHacfOhYNXKVAKGDL0hHJVoiD9TI6OPt2JZ/tQ/5wZ/H0LONDDEh37JXfVY8dK56Z8SID+f0vf/++zuiWfulV+NwORE2z1t6LqcdK/+q1+XQF47S23I9Nve3jE1yDwJzIRCiNRfS8bMYAmOLTSUJIlOqCVzHqmlrLfDavRkiWtioxQmC+0DOyVTV8z63UeU4l13XkZz6OPe8OBfprO1+rryxraK2upPlvlr+pO/2aevFoXZkxjCQ7a3UY3N/KzgkzyCwJAIhWkuiH9+zIDBlsWGBRo6P/x6LdorIAbXk/LdG3j60owURoV820KN4+507d177IT2EhZjQcyKDnvdBTFq2ISL4U7yuI3tOajjWDhN6wsDb6X/69GlTbpfQt/+gq7hrHJJz32qjdn+9OLwdHe14uZ0tH4NPShAIAssikKtwWfzjfQYETrnYiHDNEPasLrT7JOI1q/MTOSN2fh9HLin/j8Ap534wDQJB4DAEQrQOwy1aF4TAKRebayVaDOel50b8fFK+Q+CUc/87qzkKAkFgHwRCtPZBK7IXiUAWm4sctgR9AgQy908AYkwEgSMRCNE6EsCorx8BFpt8gsFW58D6r9BEGASuG4EQrese32Rnr+AJGEFgawhkR2trI55814hAiNYaRyUxnRSButjwY+mvvvrqpD5iLAisEYE699cYY2IKAteOQIjWtY9w8tt9bSgYeL7Vo0ePdo8OUFvqIHCtCIRoXevIJq9LQiBE65JGK7EehIAvNjwCAKKVlw8fBGWULgwBn/sXFnrCDQJXg0CI1tUMZRLpIaDF5tWrVzf37t07y27W1EcjTJXr5eLtbsuPXWbK8TG6U+zPLcNDUsnpmsvUMdPcv2YsklsQWDsCIVprH6HEdzQCWmx40jhfHb58+fL2oZb+VHKeXM7nkDJ14evJOTkgpnfeeef2KfD08anFbfmx8qzyOq8P9nRdyVxqXR+8yjlP1a/jCkb+9Hu9DaDm3ZOjvb5v0e21xgvb1Z7karvi6bWT15RdWc39mlfOg0AQmA+BEK35sI6nhRAYWmy0YFYyA/ngHX28PubBgwe3REekRAs4iys2vJ2XK9Pmi6QWVMlVKBQH7ci+++67t7syeq1Mtee2Wsc1RmyrDUz0ahx0lasWeG+TbXQqYSHWVju+kKWPDzZ6Nt1nCyfXk6zyEP7C03GkDd3Hjx/vnhjvT72vcviVb9mi7snVdj/HZ8VJNl2ud4ys4nEZb+dY80K2WzXYpwSBILAsArkKl8U/3mdAYGixYSFjsa4LI4ulExEtwrRrEeRYRe3Y8Xb6IQW8GoaFXnLSBTxfnAAABxlJREFUU+27TBCD58+f7xZSb5es7PVeXC0fxFljwUa1iUzNtdWGrtuUn9ru58SqnZeeTdqFW8UZW1UPWY8DGRWPiTaREeRlm/ZKYOq57NV2nat2Oe1oCUv1ee16HpO3I69z1bLh5z0MJEs9NPddLsdBIAicD4EQrfNhG8srQWBosdHCpYVeIfuC3TqGrLCgokdBBj86lx3Oadfi67bUJx1IAQQLUsbvyaj5mhNCpSId7I0RrRqjbLSIlkiI4lONDn3koI9ke+3ooE+s4MsOH4Sr2uSconiePXt2S4Zc1o8lCz6O/87Qt34Vn2Tx7XEgq3GXXj3vtUtOdUuOPuWsftX0iZApTvp69nrt6KAvDGW/1oxZShAIAssikKtwWfzjfQYEhhYbLWQsynfv3r39XZQv7r1jQlefasgFxxQthNqBwofkWmnT98EHH9wSK4gX5z17Y0RLPqpPJyDIeL+OVXsesqda+enca2JjJ0tf9dHXs6kx8P7esWTly+WqD/rAD2LDb978P0JUOz5usk3dk6vtfu7j7bZa9tTv+rQpnl47MkP4y+7Q3JdM6iAQBM6LQIjWefGN9RUgMLTY+ELGwixi4As4xITdE+zcuXNnR4RYCDlnEceG5Flk9Rst2pDh09rRqtBgB3voUailp3O3N0a0aozyR4zkKduKXT60gFNTPH/8K75eOzrKpZe76wpDbxPOikl5S7aXm4+nvjbcJVGInseHbeVKu+9GDckRC7rUT58+3dWKc8gecdUyxY/HiX7Nr9rkHJ2UIBAElkUgV+Gy+Mf7DAhksZkB5OKC35lBnCgibkVk8qkTwTGlod2kMV36tZM0RXaKzKntySfY8tUy+Q6VzP0hdNIXBOZBIERrHpzjZUEEstjMD77v0EA2jin7EC387Ct/TGxL6ZIjn7GSuT+GUPqDwPkRCNE6P8bxsDACWWwWHoC4XwyBzP3FoI/jIHCLQIjWLRQ5uFYEWGzyCQZbnQPXel0nryBwKQiEaF3KSCXOgxHIX/UHQxfFC0cgc//CBzDhXwUCIVpXMYxJYgiBLDZD6KTvmhHI3L/m0U1ul4JAiNaljFTiPBiBLDYHQxfFC0cgc//CBzDhXwUCIVpXMYxJYggBX2x49hT/Iy4lCGwBAZ/7W8g3OQaBNSIQorXGUUlMJ0XAF5tKtPTwTmT00cMmDwnCH2uAPWzVNj0Utde+r9/6TCXskuc+pdrYR/ccssLGx4IYecjqsY+LmBKv43EInlN8zCHjc38Of/ERBILAmwiEaL2JSVquDAEtNjx3SE/xFhGpz1xigdWreOh7+PDhbnEXOQIaFn9sthZ8FmU9+VvHqgUr+iJgkpVdJxY9/9jTU8l5MCixEU/rSe+tWKvdr7766g0bxKMnj/tDQCsBURz4EWmljRi9KA7HscbhD99Enwdy8sEnBXleqSPMZFPjUO3xnkhiUb/jhq5s1jFWHsKUuTIkj50ay874Cv7R3F9BKAkhCGwWgRCtzQ79dhJnsWHx5N17EBMREhBggWSBVkHOX6EjWWQkq0VX59KlZjF3IoCMt7lMr1328On+RRjUT6wQEez4U8LHYq12idEJlOwrP+xDWNCrMSOrOCAsyNSieGjnWHlw7PnhT0V+FIN88NJt8HWbknF7tInUiTDKtmyRs+u4TcfD21vy3q9Y5GvpOkRr6RGI/yBwcxOilVlw9Qj4YlO/OqwLI4uwEy36KVpMOceePuoXiCIl9KtPpMFltPiLlNFX5eSTPl/4OYes4AOigl6LaPVidbs6rvY9HmQgqdrZ4VylxkE8IlKSIQ7puB/5Rs6PORcWvbqVm9vgmA/F/Xu8xFJ1kKVMiVO6rVh2RlbwD3MkJQgEgWURyFW4LP7xPgMCvthUosVi6cSAhV0vFdZCSog69kW7FbqIgffVNvxhr9cuXfnk3GUVg3Zm6OsRLWzU4nZ17MRC8rL/4MGDnX++tuODLKXGoXbZlB3Jce55uJwfVznI6LvvvrvTlb7blB+3wTEfimRVKy/irTrIUByPnozaZXenuLJ/fO6vLLSEEwQ2g0CI1maGeruJ+mJTiRaoaJcDOf99kRZSZHTMAsyuDbJ8aPciIlDbsCsdLebIttqli23p1LjUTiyvXr3afU3GsZOHXqzKBT86hnzwVZtsKAZi1Vdw4OSk1ONDj9+2EZfHih2Pw/vk2+OQX8cROcWgdreJT2SqPc4pIkKcO26OVY3B8dBOXpWRv1YsO8cr+Id8U4JAEFgWgVyFy+If7zMgcKmLjRbyGSCKiytF4FLn/pUOR9LaKAIhWhsd+C2lfamLTYjWlmbpeXK91Ll/HjRiNQgsg0CI1jK4x+uMCGSxmRHsuFoVApn7qxqOBLNRBEK0NjrwW0qbxSafYLDVObClaz25BoE1IhCitcZRSUxBIAgEgSAQBILAVSDwf7+5qpHIyNFgAAAAAElFTkSuQmCC)
Importantly, there were no significant differences in the usage of cholinesterase inhibitors across dementia groups. The Bonferroni corrected values are displayed in supplementary Table 3.
Neighbourhood component analysis (NCA):
NCA was performed on all data sets to remove redundant features (that could lead to decreased classification accuracies for machine learning due to overfitting). Notably NCA transforms and maximises the performance of features for utilisation in k-nearest-neighbour [31]. We performed these simulation 100 times to ascertain model consistency, and as can be seen in Figure 1a and 1b the overall model consistently chooses the same features for classification across multiple runs, with 4 features chosen in >95% of runs for HC-Dementia and 3 features for AD-DLB. For HC vs dementia the EC Frontal High Theta, EC Central Theta, EC Occipital Delta, and the ratio between the EC and EO dominant frequency variance (DFV) in the parietal region were chosen; for AD-DLB EC Frontal Beta, EO Frontal High Theta and EO Parietal High Theta; for AD-DLB/PDD the EC Temporal DFV, EO Frontal High Theta, EO Parietal High Theta, EO Occipital High Theta and EO Occipital DFV and finally for DLB-PDD classification only the EC Parietal Alpha and EO Occipital Delta features were chosen. Features were utilised for machine learning if they were picked in 95% of simulated runs, a full list of features tested for the HC-D group is displayed in supplementary Figure 1.
Dominant frequency, dominant frequency variance and theta alpha ratio.
From the one-way four group ANOVA it was found that there were significant differences for the eyes closed DF between the HC and dementia groups in the Parietal and Occipital regions, with dementia groups displaying a mean slowing in their DF towards the high-theta frequency range. Additionally, we found the same significant difference between the HC and dementia patients DF in the EO resting state within the same regions. These results being displayed in supplementary Table 4.
Similarly, we investigated the significance of DFV in the EC and EO state between groups. By computing the ratio between the two states we found that healthy controls displayed a significant decrease in variance in the EC compared to EO state. Notably, this change was found to be significant across all cortical regions for the healthy control groups when compared to dementia groups. For the AD, DLB and PDD groups we found no significant change in DFV between the EC and EO states. These results are displayed in supplementary Table 5. Additionally, we investigated the EEG data scroll of participants between the two states and found that HC participants displayed an apparent change in frequency that was not seen for dementia patients, with some exemplary examples shown in supplementary Figure 2.
The ratio of the theta and alpha relative power (TAR) also showed a significant difference between the HC and dementia groups within the occipital region in both the EC and EO resting state. The parietal region showed a significant difference between the HC and the dementia groups within the EC state. However, in the EO state only the DLB and PDD groups were found to have a significantly greater TAR than the HC groups.
Machine Learning Classification
We investigated inter-group group separability using machine learning classification for EC and EO spectral features. To this end, we only used features which had been chosen via feature selection. A k-Nearest-Neighbour model classifier was chosen for inter-group classification. A k value of 10 was selected for cross fold validation between different participant groups. A summary of the results for classification between healthy controls and dementia patients in addition to classification between the AD, DLB and PDD groups can be found in Table 2 for EC and EO qEEG features.
Table 3 summarises the classification results between the AD and DLB patient groups when utilising only EC qEEG features and combining EC and EO qEEG features, for the k-nearest neighbour algorithm, logistic regression, and a quadratic support vector machine.
Additionally, we investigated the change in classification accuracy for AD vs DLB classification when one includes clinical scores. With CAMCOG memory score being chosen during feature selection alongside EC Frontal beta and EO parietal high theta. With a marked increase in accuracy for identifying patients with DLB. These results being presented in Table 4.
Table 2: Comparison of classification results between HCs and Dementia patients as well as AD and DLB using 10-fold cross validation. Utilising a K-Nearest-Neighbour machine learning model, in addition we present the Confidence interval (CI) for the specificity and sensitivity of each classification type.
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)
Table 3: AD – DLB Classification results comparison for EC and EC-EO classification using 10-fold cross validation, with comparisons across 3 separate machine learning models: k-nearest neighbour, logistic Regression, and support vector machine.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAloAAADJCAYAAAD7NpwuAAAgAElEQVR4Ae2dTbPkxHa18cX/APAPANzwAwyEPeTjmnuHbUfDxMDA3R4bPAczpMFz07zTi4duPjx2MzUfEffeCAMeuoExMDwB9caj41Ws2p2pkqqkqizVzohzJGXu3LlzrZRynZSOdN999923yp/EIMdAjoEcAzkGcgzkGMgxMO0YuLi4QGPdt8qUCCQCiUAikAgkAolAIjAdAn/6p3+6SqE1HZ7pKRFIBBKBRCARSAQSgTUCKbTWUOROIpAIJAKJQCKQCCQC0yKQQmtaPNNbIpAIJAKJQCKQCCQCawRSaK2hyJ1EYHcEvv3229UTTzyx+vzzzzeccPzAAw/c848mH3744Ybd0IMh/rAhFmKKaUj9WKd0rDa++eabUvFeefh+8sknV1999dXq2Wef7bB74YUXuj7t2p58Ut/39wr0RCufe/9PlLYM+4QRSKF1wuRl6O0ggHC6cePG6u23394Iikktih4E0MMPP7zaRWwN8VeyUVClMvKuXLlyj0hUndJWfnYVPiWfMY82EFxTtzGX3xh/HicCiUAiAAIptHIcJAJ7IvDjjz+url27tvr4449X169fX3GsJEESV5fIp47bqk7fdoi/mg1+S2WKn7KYiPuRRx7pVpVYmfvss886E/mRCOL4wQcfXK/cffDBB50dYvJP/uRPunzEpewprJVFX7R769atjRWtWlz4jfWJhTxEG/GrP4rHfSlPflhJu3r16j396jpnv0ptUuy+Hb++MsUqrHT80UcfrX7zm990OCjOWrtD/Xt88qlu0V6NO9nkNhFIBLYjkEJrO0ZpkQj0IsBkJ9H00ksvbaxUURZXtHDGBFe61djbUEUoRX+1NrErlXn83j4CjFt3Wnlj+8wzz6x++OGHtR/EAH1BxOBHbUjUUF+CgdU+8Pn555+7Os8991yxDD/UZ6IHI+orj/2+uBSLC0L5Yht9Ee/LL7/crUQSV+wj4vHmzZtdzJTRH/rvqdambn266FR99aFU5n11PMGDeFSn1q5jJFuP3f173995550qP17mfc/9RCAR2I5ACq3tGKVFItCLAAJCtwyZ0BATSkxqJaHVt4qkuqXtEH81G/xRVnpmDAFFTJ7kh4k7pr4yBAAiChsJrlg/igQvV72a0FJ5KS73w75iYbWxJLRULl8eV2wnHse2dCyfxK82VaZtn69YpuM+f/hVu/RFddQvtctWZYhR58frOw5eN/cTgURgPAIptMZjljUSgTUCiBNEir9FmVswTFQkJrWS0KK8tKKFSJMvF2xqcIi/mk0tHvUBkegJP1qp83z34xO5x67bUPjQLcV466xWRj4CoE9oEVdcWfIYWakRjsTiIkX+S4IELLhdiAhxO/W5JpwoL7WJr1Kc+O4r83YUh/ch9jXe4hvi32+jCivnCB817rz93E8EEoF+BFJo9eOTpYlALwJMRlGMIDgkWigvCS3KS6tIvY31CDf3V2sT37Uyj1kxyNbFVKkM0chzT95nFwqqoxhLwsPLaHeb0Cr5px3Foltm7kt1lEe/sPdbmBxjN0ZoDWlTGGjrMShP21im4yi0au2WBKR8s5U/+uh9d5u4T9u67RnL8jgRSAT6EUih1Y9PliYCvQhwy1ACQ4YcazWKSS0KLSZIVlliPdXv2w7xV7KRz1IZ8ZRW11jdYXJVnKqriZw6cZ92sHvsscdWb7755vqZLvLxo2e8fD+WUb9PaJXiKokoj8Ufppd/Yif5c0oeV7SLx11lEy7yhx39v3PnTodfFH3YqQ+lMviQ2KMNno9CyEahFeNRuwioPv9eL/ZdYgoctE8MKbTEdm4TgfEIpNAaj1nWSAQ6BJjM+C9DJkZPLlyY1ErPRDGR7ZKG+KvZIP5qZbV46Iv+Sy/eVpLQoh8ITt1+Ip8ffNKm8nU7Uf2Ot9pcqPQJLerX4lIsupWmWBB9ilciRPG4L+XhB6wk4ErH5CkhhmKbiCj37fhRr6/M/b366qud6IlCCx9up75KvNX8e79qNviGH/XJcVGfc5sIJALDEEihNQyntEoEEoFEIBFIBBKBRGA0Aim0RkOWFRKBRCARSAQSgUQgERiGQAqtYTilVSKQCCQCiUAikAgkAqMR2BBaepYit/etnytJLBKLHAM5BnIM5BjIMZBjYJ8xcHFxga64b7RKywqJQCKQCCQCiUAikAgkAnUENla06mZZkggkAolAIpAIJAKJQCIwFoEUWmMRS/tEIBFIBBKBRCARSAQGIpBCayBQaZYInCMCvHNJn2Hx5xPiO6HAhvdm6b1L2OrlpPvgNrR93uPlbetdUkPa1nu1au8Skw9//5TycpsIJAKJwDYEUmhtQyjLE4EzRgBxoRd99sGA0IkvteSFl/uKrSHihra9Hb2Ek/yff/65L+yuLIXWVojSIBFIBPZAIIXWHuBl1URg6QgMEVoIG96gjq2nbQKGetu+tbdNaNV8DKmnN97HN6pT11fx4hveJShLdt7/3E8EEoFEAARSaOU4SAQSgSoCiIltK1rccvMVpaqzUFATSW62TTDV2t4m8uI3/rjtKEHl3xn09n1f4pLvCpK8zOPP/UQgEUgEUmjlGEgEEoEqAggIX93Rc1ourBA7+oh21ZEVYO/PU8knt/pi2ta+2i7dIkRMUR5TFHh9osxt+8SU28X28jgRSATOG4EUWufNf/Y+EehFAHGxbUULm2vXrq0QLGPSEHHSJ25oqya0+sRTyWcUZRxLAPqtQv/INO2X7MZgkLaJQCKwfARSaC2f4+xhIrAzAkOEFoLplJ7RigLPRRllPLul/1p0Ueb7fXY7g50VE4FEYJEIpNBaJK3ZqURgGgSGCC1aOvZ/HWrViVgkgvr+65CVKJXrVibiysUUvjh+7LHHVjyL5WW+H+04zpQIJAKJgBBIoSUkcpsIJAL3IICgKD2jxW01rfqokgSLbrn5c1yyGbsd2n5sO8YW29UqFrHG/zp855131s+QeZnqSNQh1PSsmdvFtvI4EUgEzhuBFFrnzX/2PhFIBBKBRCARSARmRCCF1ozgputEIBFIBBKBRCAROG8EUmidN//Z+0QgEUgEEoFEIBGYEYENoaVnK3J73/pfuxOLxCLHQI6BHAM5BnIM5BjYZwxcXFygK+6bUc+l6xYRSM5bZGWemHhou/RSz3laS69DEEhOhqB0OJtf/epXq59++ulwDWZLZ4PAxorW2fQ6O9ohkELrfAZCTurtcZ2ctMVJCq22+FhSNCm0lsTmyL6k0BoJ2Amb56TeHnnJSVucpNBqi48lRZNCa0lsjuxLCq2RgJ2weU7q7ZGXnLTFSQqttvhYUjQptJbE5si+pNAaCdgJm+ek3h55yUlbnKTQaouPJUWTQmtJbI7sSwqtkYCdsHlO6u2Rl5y0xUkKrbb4WFI0KbSWxObIvqTQGgnYCZvnpN4eeclJW5yk0GqLjyVFk0JrSWyO7EsKrZGAnbB5TurtkZectMVJCq22+FhSNCm0lsTmyL6k0BoJ2Amb56TeHnnJSVucpNBqi48lRZNCa0lsjuxLCq2RgJ2weU7q7ZGXnLTFSQqttvhYUjQptJbE5si+pNAaCdgJm+ek3h55yUlbnKTQaouPJUWTQmtJbI7sSwqtkYCdsHlO6u2Rl5y0xUkKrbb4WFI0KbSWxObIvqTQGgnYCZuXJvUPP/xw9cADD3QfUGfL8ZwJ/8TxwQcfrJt544031u2/+eab3b6Xrw1tJ/r5+OOPV//yL/9iFsN2v/3229UjjzyyEc+Qmj/++OPqtdde6/rCOXTlypXVRx99tK7q8bFPG9988826XDuRE2wffPDBNR7bcJCfXbcep3wIS76LSZ/E17bvZEbb//iP/+g42VZP7bJ1PsbUq/HhPjw+cXL37l1vfpVCawOOPJgQgRRaE4J5aq5SaJ0aY7vHGyd1JrWHH3549fbbb6+YqJ555pnumPxDJU2stP3DDz/s1Kx8vPTSS6M/mv3OO+90fS6JoFowYPXss892eH311Vcddv/8z//cCaTPPvusq+YCRvHdvHnznvicE7cDC9qAnzGx1WIemq8YdsHS29jVD3zURKn79/0+Pj799NO1qQst4nv00UdXkZMUWmu4cmdiBFJoTQzoKblLoXVKbO0Xq0/qePr888+71SxEDpNVTBILL7zwwnrVC1GmRP0nnniiW31hy7Enjp988sn16sytW7e6FTOtkGiCZAzyg6jARuX4ij7efffdrgnF9rvf/a4TPPJBHPxIuGnCJ25f3cCJyqKooE1WleIkrL6p7b7Vpmjz8ssvF0WTc6J2Fbva863jQT8l7FQXrshndRKsvM/vvffePatlHmfkgzjAlxjZSlwiAkvYScjIdhsnEd+ST/quvkV74aJ24cP7q3Jto5048VWtFFpCK7dTI5BCa2pET8gfF8NM54GAT+r0mAlMtw2ZnL/++usNIDQJa+JHrDBemNA0+Wk1DLHiqy8+aTIxv//++92EfePGjbUPGpOd2lCbtKEyfLsPymp2TLTEpFjcbqNzNoHjz5P6VpvYWXVBiEnkeF3tx3Y5LtVxTtQuGMMHq2WeVE5c4CGhwIqXysAR3OJqmMr/8R//sRMjqosYIwZh4JiDpYsT1fH2qCdx47bRj69UOTaqSz8Vo/v0/H34wI/Hp77Bia96pdDyEZf7UyKQQmtKNE/MVwqtEyNsj3B9UpcbiSfGAaKLFSUlTYjYkDQRcswP9hIbstWEHY+jT9lpQi4JrZoPfHmZfGhlSnHSBnFKdCkGbd0HeQgJcIg/sb4LDvmK2+g7Hss+coIgIU98+KpUFHjuU32WGIkxqhzOEFtgRnIfHEcsXZy4LbjGW3xuG/2ofXES69K210cI0Qdh4ZzAh69Cqa+e13Uu/Ir+4zHmKbQCaHk4GQIptCaD8vQccQHLdB4IxEldvebhZ1ZQNLkzKZJ8YuXYJ08mWp/8tE8+SeUSVF1mj8+S0MIHMUcf+PLYPC4maN0CQ3jpx1dOFItETfQvUSDRIntto+BRvm89PvJ1HH2WOIEPv+UqMat4hbW2+IwxS3z48108R+bC5e///u/XK43CIGLpYsTLSrjWbIdyov4Ri/MV++Y4sz+ED+w8Pvzr2DlJoRXRzeOpEEihNRWSJ+iHi3Wm80CgNKmr54iTV199tRNPiAKSxIHEkyY8jvnxFS350VZ1NYHX8jV5l4RWzYfHhn/50IoW5cTHbSH+G5B9n7hrsShf/fQJWGVs++KSXbSJx7KrcQIf+q9GYdgnKGLMJaFFm/h1IXf9+vUNMRuxlBiR+MGvcFWe+uK20Q82ih9OSth6fecr9k3taVurp3Jto108xi6FltDK7dQIpNCaGtET8pdC64TI2jPUOKkjQOCf56dIEk9MbCSJA4kglbPCosmPPK+r1RefaHmeSPZ/9Vd/1bUp8SA7taE2KVcZAsp90GbNThO0yvvEoGIqTfpdpyq/tGJGzP5fh+Crfql9P972jJZWdHiYnCRhIkxjvF4ey6LQUjzqKw/GE+9YoSVxEm+nEq/KInfiROU1TmIfKvDfk72Nj9g+8ZFHPPmM1j1wZsZMCDQjtDhh9Fc1EwB/+fDXlxIXC/LZTp1Kvkvv95mj7an7MsZfK0KLiywXYCYvxkGm6RGIQiueb+Av0UXrjHXq+H+yxWe4qMMYYhvPDTjVLTBsOLflUwJEYqoktIih5INJMvpBfBGrBED0W0JTNloJQ5wQZ/yRT/cBdnqwH/u+92hRLwof+XJO8KlVLHyCKaJLQoE69BtxoHLhGEVKqb1/+7d/26jL818RR9qQ4KPf/rA8cUTM1A+2ElISMu6HW5iqK669Lvsqdz7Ap8RHfB5LfMhefDh2MT5h5L7iihZ+n3vuuW5cyQ6sH3rooS6u27dvd/wQO6+LoG/ff/997Fp3TPv4V52i0f9lqg0J42i7yzvK5OOVV17pnq9Tf5Sv7RdffNH17+mnn672RbYtbon/z/7sz1YxfuW/9dZbq59++qkLnXfvweV//dd/rc8zOP+nf/qnjivG3p//+Z9354mPpV363YTQonMMUn747yeOETpcbBh0JC4KdJzt3IkThwsN8RDLUhN4tpCYKInF+W4hriXF4JP6kH5pEtaq1ZA6rdjESbsWF2KAc5wVs7kS1w/+CxAc48V6LCdzxXgIv0M4gQ+wmpMP+ipOopCJQgtbYvKVLwlIrleqv00YjcW3z59E3d/93d+tBcMY/9uEFv0DB67F/EdmHLNj2jqGLeJJ8buAGiK0GBcIa64JX375ZTdOeIlyFGO79KsJoTVEREUb/rpmMGiC9r+2Y5mLs1KZ+wZsgMYvPwgu6rAvP5wIeoCYrcQgBEik8VcV8VE//uv8LkTNUYc+HTsJb/1LOn/RKjnOYOkcl8rEo8QBvsAfTkg1buKYUDulNhSvRLh8qk3F3tp27KQOltRpvV8RZ+Ilbs5Lfxg82nEMd/wHnFaGSjb75oFj6b/s8DuWk31jOVZ9iZNtnDgfc07wrC7BSVzVKQktX4lCADIRcy3i+s41gBUst+GaoZVc+qtbv25D3xwTfHGdUjz4YHL/67/+607k0R6ri2qfccO121dt1C5lf/EXf7EhktQW+brOqi0fExIaskHM0T+JD/bhiNU7F3qImKeeeqobz7Ft2ft8iIjh9rVWBunfv/7rv3aiTkIPPxEXYu1rqxS/Vq+GCC04uv/++1f//u//PrnAbEJocXEEbAZLLWkSZYsdJMjeJ1Ty8MWtCtKQsiikGBwMfE2msW38EzPEun/aU12f4Gt9OnZ+C0JLfIGnYykcyQNnbmtJ7NbKdDsHXyT3x7HqOTe1sUQ+dqX28S8fPjaOzWdf++cyqfdh0FpZctIWIyWhxXUAQcDqFaKJfUQG1wWJNW5DsurFPMIWW0QR+bLhOoF/bh26T/4YQLhwPZH4UTnzD+V++5JrWBQ6si+162WltpwBxIj6GvunfsifboF6HfocV8wUr/ePOo8//vhaDKoOGNE+t/dKsaotyr2t//3f/+264eXC3su4pdh367B0K9Hx2We/CaEVJ8RSh+KExuSLKn7++ee7CVhCjYHAvsTWd999t3ZXK4u+NSGXhBaTrNrCca0ufWo9tSC0HE/H0vcjjrUy5W8TWpGb0ljSd/fwGZPGEWUuuqJdS8c5qbfExmUsyUlbnJSEloQCcwHPzMEZIoNzH1H1n//5n90qEeWvv/56l6eXoPoqFvYSWlwz/HakREEUWro1KSFCueLxFSVWgdyft+ttsZLmviL67sfj9X38SXRR3+vg39vmuBQv9bjm/r//9/9Wv/nNbzpMmVOvXbu27kcpVtpCiOmWZmzLhZLHjC9E2DahJWwkziI++xw3IbQgz8VLqUMApxUNTXQszfLAPBOn19eD7Njzw3/XQCypVOarJdhsE1ry61v64HXjZN4VNvaL+I+Z4IQLlAStcAc78CQ+eI+pVqYxIi7wo5UnfLh/+ayNJR4Cr7WvuPGvH/lrdZuTenvMJCdtcVISWkQoIcQtNeYZJnquG0z6EgcIH647cOrzAvsIJp/4sXNhhIBw8SLfY4RWrV1vC8ER2xIDXNNqtwi1uqSVPK55uiWHP3CLfWblqCa0tPLE/A0u4AsewlJCKsba15ZuqzKX6BYnD7JLkA4RWi7UiH3K1ITQ0gTJtpbchsHjwipOqPhg4CDCIDNOmLFMt5zUviZkCYC+tmO8qktMrSdwOWaSyIknKeIo3s71OJ2PUj7jgxTHRYmb2ljqax/fqsctbLXnsbS2n5N6a4yczzNa7SFfjqgmtJjgJWT0XJSEifJZ5eI64ALKW/HVl2gnITfVipa3S+yKCfGgVRu1JVuJn9K1GFuJIa53um1I3ehf/rTlmhtvdcY6ionHffpipZ6vaKkNtn3xs0JFHAgvxKtEIsKK2LSCBUeLfkaLQauVDf+vQxdIPrkyUFWGPROzhJfsNPn5hFkrGyO0JA7kn63ahvDSZO4DoqV9MDxmch4Vh/LgDV4RS4wPx90x9jJ9ABkfstm2oqX2GBs+lhDptfaJVWPJuVcfWtym0GqPleSkLU5qQksiieulVpmIHPEBh1wDfJVLNi4ouF7gH5HiK1ZaLeJaI/Hj5VEccV2LwiXae7teVmpLDFCHvkQRpZgVv8dJXQmcUp9rK1q0Jb9cc+kPGPLA/9BntBBLWoECe/ep1SjK1Y5WvIj/v//7v7s5xVfw6IvEM1rE/+sQH/s+IN/EipY6yS0+BjM/KOfae7QkzLCDoHibh1uB5KucSVupVKZJky1Jk3RpRYty7Ny/6nndXNHqoKz+EocMfPBW4sIAtuDHvlYk4VL/4IBtrQwbbKmn/56Rf/Hq3CgOjRUfS7U2aF++NEYUf6vbnNTbYyY5aYsTJlStdnhknOsSA0zqShJgWuUinzxWZXQ90XvFZCshI2Hj16khQos2VNdFD/4RKWpX7bh97b8OJTDcH/Ukorj9JpGmW3GUK/W1Ley8ntqTSOWWoUQef/jCQy3WUlsuorQ6RWzEz3NZavt//ud/1v8dCU60gaCSMKMOsf3DP/zDegVzUe/REmG5PSwCDLZMuyEgoeWibTdPh6mVk/phcB7TSnIyBq35bWtCa+qWJbpYBUIk/M3f/E13R4dni845CRf9V+Hf/u3fLgaXZla0znmAHavvKbR2Q163G/lrFMF1Cikn9fZYSk7a4uRQQote+1cAuI7ofVttIXL4aHgrO+eFVpz0YPzhI5m2xRRa0+J5Ut5SaJ0UXXsFm5P6XvDNUjk5mQXWnZ0eUmjtHGRWPEkEUmidJG3TBJ1CaxocT8FLTurtsZSctMVJCq22+FhSNCm0lsTmyL6k0BoJ2Amb56TeHnnJSVucpNBqi48lRZNCa0lsjuxLCq2RgJ2weU7q7ZGXnLTFSQqttvhYUjQptJbE5si+pNAaCdgJm+ek3h55yUlbnKTQaouPJUWTQmtJbI7sSwqtkYCdsHlO6u2Rl5y0xUkKrbb4WFI0KbSWxObIvqTQGgnYCZvnpN4eeclJW5yk0GqLjyVFk0JrSWyO7EsKrZGAnbB5TurtkZectMVJCq22+FhSNCm0lsTmyL6k0BoJ2Amb56TeHnnJSVucpNBqi48lRZNCa0lsjuxLCq2RgJ2weU7q7ZGXnLTFSQqttvhYUjQptJbE5si+pNAaCdgJm+ek3h55yUlbnKTQaouPJUWTQmtJbI7sSwqtkYCdsHlO6u2Rl5y0xUkKrbb4WFI0KbSWxObIvqTQGgnYCZvnpN4eeclJW5yk0GqLjyVFk0JrSWyO7EsKrZGAnbB5TurtkZectMVJCq22+FhSNCm0lsTmyL6k0BoJ2Amb56TeHnnJSVucpNBqi48lRZNCa0lsjuxLCq2RgJ2weU7q7ZGXnLTFSQqttvhYUjQptJbE5si+pNAaCdgJm+ek3h55yUlbnKTQaouPJUWTQmtJbI7sSwqtkYCdsHlO6u2Rl5y0xUkKrbb4WFI0G0KLiTd/EoMcAzkGcgzkGMgxkGMgx8B0Y+Di4gJ9dd+SBGT2ZQACyfkAkBZikqsn7RGZnLTFSa5otcXHkqLZWNFaUseyL9sRSKG1HaOlWOSk3h6TyUlbnKTQaouPJUWTQmtJbI7sSwqtkYCdsHlO6u2Rl5y0xUkKrbb4WFI0KbSWxObIvqTQGgnYCZvnpN4eeclJW5yk0GqLjyVF04zQ+vDDDzcexH/mmWdWP/74485Yf/7556snnnhi9e233+7swyuW/BEfcb700ksryh944IEV/fCkeh9//HFv+VRxetvb9lsUWuDw8MMPd2OhbwwIb/qAvfDzfMoiHzVMhrar+uJV7fr49Xhkf+ztISZ1sHjkkUfW3P3www/3dPvtt9/eOM/hiJ8PPvigs43lYPnNN9/c48czhrTr9nD35JNPbvgl78EHH+xiGdKm+9t1vxVOiH9I/0u41fq+LyfvvPPOCnw0PrRlnPz888+1ZvfKT6F1CR/cPfroox32Tz/99Or777+/B1f4AS/xou3t27fX/DA/Pvfcc925PRdn9wTWaEYTQouLa5ycEC99E+2h8eQi48JNIksTOeUIrdgP1ZPQqpUzuA+dODlaShFTxgXjICawgguwJWHHWPn666838im/cuXK2i760fHQdmUvUSUuxbE4rMWt+sfYzj2pg+Gzzz67FrbCYNsFFizhTqLs5ZdfXvsYgtPYdmkPLOBOAg7eEIgSe0wiHtOQOHaxORQn3i/Op8gJ/Ud4fvbZZ103Sv3/6KOP7sGt1mdxIlGEv1K7qj/ENzaML40T1Z1ym0Jr1S1uuDgSdz/99FMv1OLHRRl1wdTFV6+TBRceXWjFSVNYx8kPOy6OiANNcLLVxOdlPvmxf+3atdXVq1fXCpw6Sn2+ZeP+YmzYqPzWrVsb4kD5CC3EQa2cGA6dWhNaYMDFVFgIOx0LH/LhEx5IqhexpYwLfOTa2/D6aqfWrvwhqN97770N4U2ZUl992Rx6O/ekLg4cw7hqFPuMrU/w8PnCCy/0CmPqMBG4SPJjsK+1i4iDO8YJ56J8UId2NYnHuGLcUx0fgpMh2JT67/XAjdU+cIvYRj7AJuZt46TmWzgfio8UWpfc/frXv17dvXu3g/+LL75YPfXUU+tjceJb+MHm008/XYt46v32t7/tzjMJbq9zbvtHF1pMgkNWrpgw+SuZ5HUg2SdO/SXNya0VKPa5wJbq4899q34cCPLHqgnx+uSNrcqJxyd35Uto1crJP3RqTWiBVRRQvnIlfMDK8+GsNIaiHfXJ8/FC3tB21b7qaHx5Pvu1MRTtDnk896RewtBFVKmvwkkrLHCjW4+MTX60GqP62LgIULtjRBJ1XDBwvEShNbRfYOpclVa0wD/iRl7kQ3Zj8Sz5FudaVdE4Uf7U2xRaqxUCCe60MgW/UURF3OEHMa5VL/5gevHFF1d37tzprrUptFarJoQWwqQvQbZPjhxrovV998GJq4nQ97Hx41g/tiWf1GrGtD8AACAASURBVOE2FD9MADHm6PP69evdiovyXWjRRiwn79CpNaHlAhosIjeOD2Va4SyJLK06MpmT2Gry9i1tjmlXMYhX5408BD0/7LeU5hZawnCo4AE3n9zBCswee+yx9S0sX+GCP/rg3LF/48aNjdt8Jb+RB9pxoUWdeOuQVRbdSov1pzo+BCdcN4dwIgzAlPNJdbyvjhuTa4kPJlXGwtB25d99K4/tED7dfp/9FFqrVbwFCP59QqtUztjgfGUM8UdRCq0GhBYnmK9ilE4UbCSaKOcCTB3ySWyZ3LhIaJLzOr4ve/ljoGjC1kVcPjrn//dLbTCAVId9pdgGZfwo34UWdWI5Pg+d6G9LCax8LICJBLXHiZ0/e8WF3W8nl/hRfcpctJM/tF35UB2NIc9nvxZ3tDvk8dyTegnDKKS8v1GYeZnvx2e2wHbqFS3aI349DP/666934/DUhRZ9GrKyhJ0LXLhBeOrWqvjAzgUq+ZEPYTmkXflVneibfE38JeHn9afYT6E1fkVL/GgFzFfEmKdTaF2OzKOvaNUmJa1IcNJj45NjrQ5d0gX8k08+WYszLhA+Kfpx9F07Yb0ONhz7ZB/LJQb1LE8UWrGcOA6dWhNakYuIqfARx2BI8vFAHYQyNqUU21B9H1+1dt3fNhu/fez1jrU/t9CKuIJPaeJU/xFQ/oeK8uN2m9Ci3Si8+trF/7bYos8Y01THh+BkCDacK0NWoEq4lbCKeaV6EcOajcbJ3LcNiSeF1uW1dMwzWq+88srq5s2b62ezWM0CRy1aaPvWW2+tbSL353B8dKEFyFxwfUWCPCYqvyXEsS7MPtH6PvV0PFRoqa2Sb8qUuBC4WCOfOoqxVE4ekz59i0KL+l7OxenQqTWhJXEtLtjGW7TCzUUunAvjPpFVw3dou17f+daYKwk/r3PM/bkndfrOZB25K02Q2LLiAYaehKNWL7Dj1mBcWfE6Y9pVPdp1Mca5x7FWsJgsGHel2OVjiu0hOaEvtX6Bx64rWiUcxIkm4Fq7XjdyQpnGiXhx+zn2U2j98l+HkTs9f+W4ww/PYsFP6VyhPFe0LhFrQmgRChdZqV+2EjAiloshkyllJVGmuirjxJUw8n38xWP3XbptWKpDHgOJOPlxYaeY2TLxSAQonlJ5Cq1LVJwLjYHIF5Y+XsQZWGsc+BbbvjL8DW1X3MWY3L/ikW0L27kndWGoh9nhToIJrPqEjeMTcdQkSz59cF7Z5/kPuBvSrtqJ8ZDPGJF/j1115ti2xIn3n/Er3L3fjhviSXg5J3oeZwpO8OEC2GOZYz+F1iWq4B7fowX38b8Pset7fiuF1i+jtBmh9UtIuXcoBLhAZjoPBA4xqZ8HktP1MjmZDsspPKXQmgLF9FFCIIVWCZUzyUuhdSZEr1bd6kNpef98EGivpym02uIkhVZbfCwpmhRaS2JzZF9SaI0E7ITNc1Jvj7zkpC1OUmi1xceSotkQWn/84x9X+XM+GCC0ku/z4JtJ/Q9/+EPy3dA1Ljlp69xDaP3+97/Pc6Shc2Qp89P999+/uri44BnTfF5nSQp6SF+S8yEoLcMmV0/a4zE5aYuTXNFqi48lRbOxorWkjmVftiOQQms7RkuxyEm9PSaTk7Y4SaHVFh9LiiaF1pLYHNmXFFojATth85zU2yMvOWmLkxRabfGxpGgGCS3eoVF6B9SuQAzx5za+X2sTG97/gnjwH71Xq1avhfwh/ZsjzhaFFu9mgTNi03u0Yt/9XUvONe8C0rvNyB/zPqsh7XockbMYU2vj7hCTOhiW3mfluLEPR7zcVBzpnU0RQ3HLu5n60tB24Uyf2cG3+x3qoy+OsWUtceLYMHb9JbE1vvr6OxZP2vd3reE7vquLuO7evdvX7F5lKbQu4YO7+B6tErB8buehhx7qzuMSN/kerV9QO4rQ+qX5+l6cyOqWlyU1ey7etQl7m8+llzPZtJQkkhBMJLgrvRk+xoy9OMZe9T0/1vHjse3iF+xcTHm77ruV/bkndU3Gwl7clV4p4Z/VEUd6uanj1Vcmu6HtMnn4yy+5Xuht6NHHkDeZq/19tofiRIKy1q+IDXb+0lb40otI9W27El/CQniqTq1d2eMTLKLA83ZlO+c2hdYvb4aP3MU3wzNm/GWlcMwfT/rmITyRB6a3b98uvjl+Ti5b87230AJwTpA48dBRL2NF7Pnnn+/eyu6iSJOW1/d6+I6fr/FyrVq4Twc55ntdnyi3xUvs9EF1+vyU+oT/Wr7HWPOLDR9cvnr1aoc1eOFvn4SPlhJ952RlS3JcanFiCy/YxvqlOiWbmNfXLoKKMadvWFKXicU/cl5q99h5c0/qJQzjCgUYYOff36vhgp0LI9nF+vEY7krtcq7AnQs/Cb6hPhTDVNtDcOJY17AhP34EWvUiNrHvpfKYV2sXX3DAKuOtW7c2eOOcIiatdsZ25zhOoTX8W4f+8Wi4gPP4jcTf/va33bVZom0Ozk7F595Ci4sXf72SuJhpZYHjWBZFESegT6z6K5i6lOl2pe9zAtKGRIba7PsETi0mb29bvMSuNqOt+2HAlfpUy499jZgpdjAghhrW+BmbWhNa9BHBAsckMJOIqvXNsVd9iVGNN68beaBM9ca0Sx2NT3zqjw0wnUIEe8xT7M89qZcwLAkl2TlHpclUvLowAgewlghw7rTCQnmp3Yih2xFTFBpDfESfY48PwcmQfjkW9MFXtIQNfBEv55TzFfmgvuqM4YQ6LpDxq9tXOqfmnrBTaK1WJQHlK1ca4/Dj+b6ixXWUbyDeuXOnmwvn5k0xtbzdS2gBtosKjjUxxjLA11/9nFSy0zaCJBv81Pa9DjZcBHRSaiuhgq3Hp2PFPyRebFTP4/a6sY2uQqFt5bNV/9gqntiObBRDPHZ/Q/fBqKUk0TxU8ESswYQxIEHMsYQbE7fGhG+xHdsumDn+7PtHrn2st4Lv3JO6MNw2uYIVKxhcfIUjHKkeefAahQ780Qfnjn0+Os05rvqlupED+OE8wydCbmjs0c++x4fghH4OwQbcSs/XOV9gxTHi7Y033ijyAa/gObRdYYhfF1oc69YuNnA29wpXCq3VSreGdQuQceGCSnyxpUxi+Omnn17fNkR0cW4x7vijKIXWarWX0OJkQHAAuE4GF1Oa5EplqocPCSS2HJPcd9x3v51xsCePk939kUecceVBNrThfn2y9Pa3+aEc+1qfavngEW+R9sUQY6LdsYmJqqUUOYAvF7QxVk2Q4EQaUh+fLmaH1ottb8OflUniayXNPamXsI9iybHum/zFq2wcQ/jbZ0WL+ggKiSzFNGTlx+OYYv8QnAzpF9y5qAF/MOKBeMr6fEQ+dsWTdlxolfCd+5mtFFrDV7RY+Xr88cdXn376affHCgIN0cXYYbwg1Lgup9C6HMl7Ca04aXGsiTGW9YkGnVS6wGLLiedirLSvemzdXvlcTPVMFXkxJtmVyvri7fPjPtn3PnmZ5yt2ti4CHE/ZkEeKx+576H5rQiviuq2PfpuVPlP/+vXrvbceYxuq57hva5c622zOTWhFXMGnNHGWOIqCjAmVc7eUqO9CKx7X2hVnvpom/2N8qM4U27mF1tB+cS2qrUDhg1VDiV6Ona/YBrjEvD5OhOMQmxRaQmu+LdzFZ61Y0Yr/7Vlb+UJkMa7jyvNbb7218XzkfD1o0/NeQosu+WTn4qFU5qtHCCcegPRbe16fE68krhBA1MGWJLu4GkSZbIlRaZ94GYRKNT/eB2x1/P777w/qa82v+qkY4rHiGrNtTWiJL02ybJ0775sLYc/H3seGr1K6ne+PaVf1HH9xjB8SWwSfuFKdY27nntTpM5N15C4+YwUGTJiRI03k+OFiDb5D0tB28VcSWbThPoiXWx+Mo1LsQ2IaanNITvr6BTa1FS364gIHW1/hKvVVeN68ebPDcAie+HVhroncxwWCz187UWp7n7xc0bo8F/hDJnIX/+uwtqLlgoxxkCtalyNysNDSLS9XqlyMmEx0O85Xj3DvZTxMyaTHCcWPRBQ+5NPrQxKCirwootxvFG9xcqMtbDQBlOrq5PSyWrwlW8WgslqfavmOh8fgeLgN7cRjtT1m25rQInbvv0R4qa/YMYYo8+T1HT/41zjzrSZ8r9fXrtqKMbn/OB5U55jbuSd1+gaGted8fBJ1OzjyyZMyXzERZuBb+kuZ5z/cH9xpcoYjtdtXvy92tT/HtiVOOA+EL+M3PvAuXsUX4kn2fj7peZwhnDimzpXyvY0Yk2ym3KbQukQT7uKzV/ATV7YQw2AG//Cj24jiJIWWkBj4jNYv5rvvxYlpd0+HqXlq8e6CCidIpvNA4BCT+nkgOV0vk5PpsJzCUwqtKVBMHyUEBq1olSpuy9OKlP7aafGvfO/DqcXrse+6n0JrV+ROr15O6u1xlpy0xUkKrbb4WFI0swmtJYG01L6k0Foqs/f2Kyf1ezE5dk5ycmwGNttPobWJRx5Nh8CG0PrjH/+4yp/zwQChlXyfB99M6n/4wx+S74aucclJW+ceQuv3v/99niMNnSNLmZ/uv//+1cXFBc+z5fM60+nX0/CUnJ8GT1NEmasnU6A4rY/kZFo89/WWK1r7Ipj1awhsrGjVjDJ/mQik0Fomr6Ve5aReQuW4ecnJcfGPrafQiojk8VQIpNCaCskT9JNC6wRJ2zHknNR3BG7GasnJjODu4DqF1g6gZZVBCKTQGgTTMo1SaC2T11KvclIvoXLcvOTkuPjH1lNoRUTyeCoEZhVa/hJHJnW9HHKq4PGj1zKM9e3vyfL9vth4kRsv7KMv/PgLMWtx4JsXtX7yySfdS914aaknjt2Pl82936LQcoz14tASDuDKK0MiD55P2dBxMbRdxRLHDO3QXoxH9sfeHmJSB0O92NJfHBr7Hq8LegkmduDKG9yFo7/MNPrR8dB23Tf+eblmTNjoJaexbOrjljhxbJwP+uwvDh3Ky1BO+uxiTP7W8am5wF8KrUtU4SS+sLSEN2+Hf+ihh9bnqvjxfMbL7du3Z//KQim+lvJmE1oICJ8oIY8TeOjENxSkmsDZVp+TWG+n32ZLeSl+JgzvI8f8eFIe7V25cuWeb/E9//zzo+Jw3/vucxK0lCKXYBeFKfHChb8VHjt4+PrrrzfyhTnbvjS0XfmQqJJAjmOpFrfqH2M796QOhnyCR+e3MCh9xsY/weNYwKu/FV686k3vbqv9oe1G33Dmn53BH7GDUxQaamvq7aE4kaCsfQoHbBDIbudC2T/BMwQDcaK3xNfa7bMjJiZ79+HfYxwSx1ibFFq/fILHcecaHD/BAz+8KV5vg4dj+Pnyyy838uOnesZyshT7WYRWnHgEFhcyFybRrnSsVQtEgS7ikMzFkDwmXH4oo76Ei0+C0YfXx27XT/zgxyd82vdv63EhiZ8d8u+4Yc/3u/CBr0On1oQWGHCyCos4HoRPxFn1+HZmFGYca9xQX7Zqo5RXaxdb/DGe3nvvvSpvffXVh0Nv557UI65gUFoZ4pzwc8BxEK8SVvj0D0hjG/Pica1dxgDcufBzwcc+vDKGOB+HrKR57LvsH4ITx6+GDfn+/UIwleAVX/5JHu9rxL/EUa3dWNft+mLy9qfcT6F1eX4N+ag0Aoox8/3333cUwCX13n333e7bmC7MXnnllbVgnpKvU/I1i9DSRS0CARlRmLjI4OTScZ8tF0z+2iXRlkQY9blYamLt8+Ft+T4XFsSgfLDl+Lvvvuu2LhRj/1xYUYZfCS+1wYVcvtnvm7Cj/6mPWxNajhd9jfyp/zFfKx/g7ynayaeLOfKGtuu+xSdtxKTVnJh/zOO5J/UShpqsvd/gpduLjD9+tJJCmdcRrxJe+MEmigfOMdlEH96279fs6EdJIHrdqfYPwUlNQHkf6HPNDpxKfEmwRj7w2+dvaLtDfbi/ffdTaK1WJQHlK1fCGN49XytaEl41O+Wf23YWoVWbaEpCRMIK4Dm5/NjJgFgmSGx8onRh1FcfX/LB1m1r+96+9hFJmiAQddT1RN/5Ifm+2mD17NVXX+2eLbt+/fo9q2nua+791oSWRK0EEzwxHiLG4EKZVjVL4lfjwrkQb76lzTHtihPxSRxK5DEmSuNCNsfazj2pC8NtggeM/JYdPDHJi2Pw1MQOr/IHj/TBuWOfFWG3o76LtRLetMk1BJ8SDLIjjqUILTihn8Kwho0wl+Bl0uQ5OVaxanzBWYkPfAxtl48S1+IjpnjrUDGJq6m3KbRWK3EiwQQPLqgcc3HEefj000+vV7dkw3nGH0U3b9685zyTzblsZxFanGisOsUEMT5xchK7sIrH1MePLq6l23yyoc1SfZW7D+Jw27ivVagYfzymHs9dsVVin/qsgLFVGVv6ynNEb775Zrd94403NuKQj0NtwaSlJOw4QUlxvChW7Bx3uNetYtXjWCJL9VTmQp28oe26H/FJjDHV4o52hzyeW2iVMNwmeNR/3cLDh4sweEV0+W08sN1nRYv6+CyJLOIhhqUILfpSW6kS9tpiq39CeP3117trV+12oT+zFfkQhkPa3RbfmJjUj322KbSGr2jFZ68QaAhjPRDPuOA4RdbliJxFaHGCuIC6c+dOdwEj30VMtPNjiGKy5GJLUhlbnyiZlPmLtiS0aj7Il7++fT9p8V8Sj+QpRuyJRytVtb6yooXY4mLvcXh7h9hvTWjBhXNbwwa8fRWLehLw1PHbxxHH2AblMa/WrvvaZhPHhdc9xv7cQquE4VDBIqElXvtWYGjHhVY8hpdau5QhJrRyU+Khr37Jfp+8Q3DiWA3tW8Q09nGb0Ir1a+0OtaP9aBtjmuI4hdYlzkOe0epb+YJv/hsx/9vwl1E5i9DCPSJCkyEnCaKJid1FCfmaIFVHKxOQ5WKNY61iMIlptQJ/8luqU/Phtr7vwo2YVMbWhR9lMX7ySMTGLQ3FSJ78UIeYdXvJ8y9rH+53a0JL2As3tiVxC2YaC6AFnnDDbdk+kVVDdmi7Xt95o32NdWxq48LrH3p/7kkdDBHJkbt4a05YSUxRjz9MwAxMt61oRdyGtovvbSIL39jVhFpse9/jQ3ICD7X//gN7+qwVLLfThOp8cW3zVcaIgzjRaob7c9s+u76Y3MeU+ym0fvmvw8idP9wO5rUVLc7vFFn3jsrZhBZNcdFlMueHiZCHv9nXxTjavPbaaxsrGl4fwcQPRHKCMrHhy/N98lNXt/nQBO2CjJOcfPxLEOHP82OZ2mNLHC4ElKc2PE7fdx+H2KcPrSXHWOKlhBHjgPidB+daZWyx7SsDg6HtCq8Yk/v3MSP7Y2/nntSFYen5KrBy8RKx0gSPD7giVvGqMuoo37lldQrutrXbV9+5ibF62dT7LXHiuHPeSVjRZ4SSsGdsw0kfnoi6IZzgu2ZHGSJP7fIMkMc0NRf4S6F1iSqccNuP80zPXnFe8KyWbg2KHzDTucqrHhgryvPz9NxXt2YVWnOcDOlzOgQ4ETKdBwKHmNTPA8npepmcTIflFJ5SaE2BYvooIZBCq4TKmeSl0DoTolerbmUg3sY7n9632dMUWm3xkkKrLT6WFE0KrSWxObIvKbRGAnbC5jmpt0dectIWJym02uJjSdFsCC2/p5r7l8//JA6JQ46BHAM5BnIM5BjIMbDPGLi4uOB5tnxeZ0kKOvuSCCQCiUAikAgkAsdHYGNF6/jhZASJQCKQCCQCiUAikAgsB4EUWsvhMnuSCCQCiUAikAgkAo0hkEKrMUIynESgVQR4l44+0+LPKujdSorb38mEXXwvk+y2bfVCS/zV0iHfe3XItmr9zfxEIBE4PQRSaJ0eZxlxInAUBBAavHS3763gvMiSl/26DZ9s2UVspdA6Cs3ZaCKQCEyMQAqtiQFNd4nAUhHYJrR4ozRvgMfO0xDBJHt/U7h/9YFy/PqK2rvvvrv+goOLu2hX+rahtxPr8kHkq1evdm+8ZkVO9fFL//jUkOf5B5TVj9wmAolAIiAEUmgJidwmAolALwIIjb4VLW7x7bJy5Y2y+sWqGEm3IPWZHf8en0QPn2nxmCT29Oke2fkKG77VDi9x9bixR8zpW2+UIaz4/It88SkxYlRd7Xs/cj8RSAQSASGQQktI5DYRSAR6EZAI8eez/BksREnpI+C9Tq0QkfTcc8+tbzv2rYTJlg+Ju9Ayd92u7FxoxTyOJeIkpmTvx9pHxPFhZcQX32clP1MikAgkAjUEUmjVkMn8RCAR2EAAQdEnaii/du1a99H3jYoDDyRkJHKoxsoTAk6JYwk9bvnFFa2anfuM7SDouP2HgIplfqz9r776qrNH5F2/fn32jx2rT7lNBBKB00QghdZp8pZRJwIHRwCh0Se0tDKEnae+lSm3iytNXo+yRx55ZOPZKFahotCq2bnQiu1wPGZFC1/cLmRVK28bOoO5nwgkAiUEUmiVUMm8RCARuAeBbUKLCggPf7icPFahhj67pWenqMdKFt8D5BktrSZJMHH82GOPrd57770N8Vez0zNb6pTa0XNWiq9UHxFGu16m9qNf+c9tIpAIJAJCIIWWkMhtIpAI9CKAuPD/+tMtPLb6LzwcSCCpXCKm1/n/FWoVi7qsnvGjW4eIOISXl73//vudiHNxV7Lz+GhKK1/48rouprDzY98nTla0JPyG9C1tEoFE4DwRSKF1nrxnrxOBRGAPBBBdr776avefh3u4yaqJQCJwBgik0DoDkrOLiUAiMB0C77zzTreyl7cNp8M0PSUCS0YghdaS2c2+JQKJQCKQCCQCicBREdgQWnqmIrf3rf+FPLFILHIM5BjIMZBjIMdAjoF9xsDFxQW64r6jKr5s/PAIJOeHx/xYLfIQOf9hl6kdBJKTdrggkl/96lern376qa2gMppFILCxorWIHmUnBiOQQmswVCdvmJN6exQmJ21xkkKrLT6WFE0KrSWxObIvKbRGAnbC5jmpt0dectIWJym02uJjSdGk0FoSmyP7kkJrJGAnbJ6TenvkJSdtcZJCqy0+lhRNM0KLlxIy8euHlxzyUsBdE++54WWHvJhwilTyR3zEyYd0KX/ggQfWL1dUm6rHd9H6yqeKU+0O2bYotMCBF0gSW98YEPbYgSs486JKjR/f6oWXfZgMbVc+xKt4K8Uj2xa2x5jUwYbP5ohLPsJcSpE3f4FoyZ68ob7hyV+yGl9cSrne/F5ra678Q3AyBCdeV0Esfs6wD1Y818fYfvbZZ7tyzrUhr7UY0q7jWuLBuWNM3L1716tMvp9C6xJSuHv00Uc7vp9++unV999/X8SaccFH4Bk7jItPP/20Gy98FgssGUOH4K0YXGOZTQgtLrQQAsFKiJe+iVZ2h9py0rtw08SqSZxyBlvsh+pJaNXKve+H6hMnQkspYsq4YByUEvnCnm1prNTyo78x7VIXv7qIiLch8cR2D3l8iEnd+wOmTM7iSFyWHsjncziycx+1/aG+4UbfMMQX5yKf7ZFQoE1w4Zw8xhve5+ZEOElcIqgYpyUOHGtwgTsJY/iR6GIS9TKvp31vl7a2tYvPyEPkDh/b2lX7u25TaK06UY14Et/irvRPAq+88sraTuPizp07q6eeemotiqnP+CnV35WnU6x3dKHFCYWA4SLoiZOVyVMXYOy4IMYJjjrYkO9lEjjUY//atWurq1evru3kl/p9vhWT+4uxYaPyW7dubYgD5SO06GetnBgOncCrpQQGXEyFhbDTsWKNdsr3LTalcVWqG/Nq7eKfiQpBrW/sUTfW9zha2Z97Uo/9BBMu2BIwYFpaOeJceuGFF+45/+Uv+iE/5tV8c45HYSFRJx45HxknilPtHmI7NydDcfK+UsfFafThtuyXymNejR/qwwcrjvDg44M6jAuJvegzxjHFcQqtSz5//etfr4XSF198sSGchDN8uJ3y47ZWP9ot/fjoQouLYWk1IgLPhZG/ikleB8J9ctZfzpyoXEApZ5/JsVQff+5b9WP78vf1119vCEDZqZz28Cchp3wJrVo5+YdOrQktsEIQM/mSwKQklmQn4Qy35Hmq8YhPHy/Ukb9t7bp/6vj4ciFfisfrHmN/7kk99kmY+kTpE7js4UO3F/XHklZgsKHcBRt5Q32rDW3xFWPAl0/wsj3Edm5O6FsUK7H/sZ9awdCql3xwrhEvY1srgtSt8TO23chD5CpXtCJT8xwjjOBOtwvhgRUq3RZUq7LzcRFtsM0VrUvEmhBaCJO+BNk+OXKsCdj33Qcnrk+E2sfGy2L92JZ8UufKlSvdDxNCjDn6vH79eicYlO9CizZiOXmHTq0JLRfQYBG5ET5gygXfxew2gYbw0kTuW3wMbVftsxWvxLgtHq93rP25J/XYL2G6TWiBnd/O0woXF3vnSfuIsKG+PSb8cg1hHEhEUE77SxVa4ESft3EgnBjLUYiBDytOupXEMdy88cYbnfASL9qKnzHt1nggHn9WSP1QvFNvc0VrtdItwCFC66GHHlrdvn27O58kvFSPY8q5TpcE2NTcte7v6EKLE9cnyRJg2LhQ4qJJHfJJbCGUk50tx17H92Uvf5zMuiWpi4V8eCxqgwu16rCvFNugjB/lu9CiTizH56ET/W0pgZWPBTCBJ/I9bbPTRKwVKq+LTxftlG3z5/W1Tx2NoV3qy8+htocWWsJEkyO4x0m81nfd3qOcevuuaOGDVTPOORdZ+CfOpQot+jZmZSkKM+HT56PGT1+dEu+RB45dgCMA4HDOB+JTaK1WUTDBb9+KloRVza6WXxoDS847utCCiNJkyiSpZ7Sw8cmxVgeiNMl+8sknGxOhJkVsOIl1HH3XyPY68sEKF/k6lk+OJQb1LE8UWrGcOA6dWhNakYuIufDBTiuC5HHsY8hvBauOtrEN1ffxVWtXPti6zbZ4vN6x9g8ttMDEBRJ4DRU024TWGN+0qxWZEvZj4irV3ydvbk7G4EQ/wD2KUXzcuHGjuioW28BPzBuCcbTRysouQn1XTlJoXXLnz14hkMymjAAAE2ZJREFUvPzhdmGrcbFNaGHvD82r/rltjy60AJyTO/43HpOlP7vlk6fEFGLF9/Gl46FCizo13z4YuBC4kFLcirFUTh6rY/QtCi3qezkD99CpNaElcc14ILGFm1IiH65J4KiVMAlY8oamMe3KJ/59PNTikf2xt3NP6rF/YIp4jVzGFSWdr5pQqYeI7ns4fahvOOoTWcSMzVABGPu47/HcnDhO4B6fv/L4sWUVyp+/UjkCLN46FF+y8a3avXnzZreC2Neu6kUeOM4VLaFzuC3c8QdS5K70X4MuoLQS9rvf/a4774cIsMP16vgtNSG0gIELrm7dsZWAEUQIEd3iK4ky1VUZJ6omQt/HXzx236XbhqU65DEoiZMfF3aKma1EZEloeXkKrUvUnAuNgcgXlm4nzpXvq1uXXi950BjxrcSa++trV/5iTF7f45H9sbdzT+ql/oGJHnQHUyZncIvChnNEnHD+MdmTR8zK15YJnzTENxN8nw/8lOIp9WWOvENwUsKp1G/s4KUktNwHYxsR3Ictos7riPtSu8K1xAOrWuJP40L2c2xzResSVbjzZ+MQTfATV7bcjnGh27qMDbDknIW3fEZrtWpGaM1x4qTPfgQ4ETKdBwKHmNTPA8npepmcTIflFJ5SaE2BYvooIZBCq4TKmeSl0DoTolerbmUg3rY7n9632dMUWm3xkkKrLT6WFE0KrSWxObIvKbRGAnbC5jmpt0dectIWJym02uJjSdFsCC0m3vxJDHIM5BjIMZBjIMdAjoEcA9ONgYuLC/RVPq+zJAU9pC/J+RCUlmGTqyft8ZictMVJrmi1xceSotlY0VpSx7Iv2xFIobUdo6VY5KTeHpPJSVucpNBqi48lRZNCa0lsjuxLCq2RgJ2weU7q7ZGXnLTFSQqttvhYUjQptJbE5si+pNAaCdgJm+ek3h55yUlbnKTQaouPJUUzSGjxsjK9/HOKzg/x5za+X2sfG16OhnjwnxZfHhn7MKR/sc4Uxy0KLV6CB2fEpheHxr76Cy6da14+6i++HcP9kHY9jshZjGlM2+53rv1DTOpgGF9QWupPCSu9CR5ceZs7vIKh8kt+lDe0XfeNf738VH7YYhNfqOrlU+63xIljU8N9DDZDORGe0fe2F6Kq3pTbFFqXaMJdfGFpxNlfSurX4L/8y79cv2TW8/Xx6ejnXI6PIrSGgMuJN0bc1ey5qNcm7CFxLNmGE6GlpDft623tcFf7BI/HjT0cx7fzD60/tl2JORdT/gkej62V/bkndTDkkzuRu9K7u/xbho4PF3h/O7nO3SGfe9nWbvTN9cI/8UIc+ACnmtDwWKfYPxQnEpRMjozTyEnEBjt/mzt91Vvah2CjsaDP9tTaFYZDfMdvH6rulNsUWpdfO+ETPJG70id4HHvxo0/vqKyWr/Jz2e4ttDhJOfmYtH3iAUAvQzQ9//zz3V+MLoo0aXl9r4fP+PkaL2cVC3/u08mL+V53TLzETh9Up89PqU/EVMv3GGt+seF7flevXl2v2OFvn9Sa0KLvYz/uTB14AZ+YHFeVxTbIj3mleqrPRMWY08fCqcvEAjelGFTv2Nu5J/UShqWVIbDim3olrMgDRwkrfPqHqcWV50UbfJTa5VyJIsMFH/vweuvWrW48DVlJ25fTQ3DiWNWwIR9OariDDauMYBOxjfiXOKq1i22fb+FLGy7AlT/1NoXW5bVwyEelHXv44fM88VM7tXyvey77ewstLl785UniYuarR7EsiiJOQJ9YfQWCMq1o+T4XatqQyFCbcTVDBOqvYuqRPCZvL5bh1+NlX21GW/fD4Cr1qZaPL++fx6e+ETs2xEBbJC/rMnb41ZrQoo/6ODTdAbOaiFJ3HXvlaVsqizxgu0u7zhk+EeDgqR8fK4rnmNu5J/UShqXJEax0e1FYacWFMq8Df3FlBZsoHqI4cx81zGNbsqMf1F+C0KIvUUCVsIlYlFa0wKeETeRDdkPaFeaqU8N924qY+9lnP4XWaqWPQ2tlCn5LIspxhh8Ec1z1quV73XPZ30toQYKLCo41McYyxIL+6ueElZ22EXDZ4Ke273WwQYjo4q2tCz+Pj7oeo+9TVooXG9XzuL0u+17WVdgiGtQ/tjU8ZaMY4rHaGbMFo5ZSFI81LBVzrRxsGAv8sE9i0taY8C1tjm0Xf44/+1euXFm35WNHsR57O7fQEoa+KlKa1MHKb9mBla9wwamEmIss+KMPzh37N27c2BBj1C+16/jTJucZPuNtNOKrTfjuY4r9Q3BCP7dxQl9quHs/HRsm0RIfiGbGwtB25d99K09xbePT7ffZT6F1eYsY7oYKLcZNSYjV8vfh55Tr7iW0ODkQFYBK8gmGMl+diGWqh50Ekk+M7jvuu1+B7zbkcbK7P/KIM648yIb67rcW7zY/lOOr1qdaPnjEW6R9McT+0u7YxETVUoocwFdJtCpmTe7gVEql+uRxIWGrNLZd6m3Dn5VJ4mslzT2plzAcOkHy1zBY4cNFGHmILl9dgrd9VrSoj8+SyBKvSxFa4DlkZWkI7jVsIh+yG9KunxvEUMJdz/hILHqdqfdTaI1f0RI/EmbipJav8nPb7iW0OMl80uJYE2Ms6xMNAt0nTk48F2OlfdVj6/bK52KqZ6rIizHJrlTWF2+fH/fJvvfJyzxfsbOt4Skb2ibFY/c9dL81oRVx3dZHv81a63MUPLEN6sW8be1SZ5tNbLcW36Hy5xZaJQxLE2epvxJaOic0qeIzijXyXGjFY3iptUsZzxrpVmUplr76Jft98g7BiWNV6xu4c93pw51+lupH/LGLeaV6EbeaDWOjJoqjj32PU2hdcjfmGa1XXnlldfPmzXtWhmv5+3J0qvX3Elp02ic7XSi1whDLfPUI4cTDlX5rz+tz4pXEFb6pgy1JdnE1iDLZEodSjMnbj2UxXi4gStFWfrwP2Or4/fffH9TXml/1UzHEY8U1Ztua0BJfXFhJbMGjlLDVrWiVC2vKSGDFGAKrvjSmXflx/GO7+Lt+/XrXvuyPvZ17UqfPTNaRu3hrTlhpUneswHTbilbEcWi7+N4msvCNXU2oxbb3PT4kJ/BQe9ZpKO5DsREnmoBr7Tp+Jd/4YWXss88+c9PZ9lNo/fJfh5G7+PwVJMDPiy++2PHj53ktfzbiTsDxYKGlW15MzvphEmQy0+04Xz2i717Gf8tpYuSkkojCh/x5fchCvJAXRZT77RNDxEBb2GgCKNUVT15Wi7dkqxhUVutTLd/x8BgcD7dRv4Sh2h27bU1oEb/3X+I19l12JREFzxpPzovnq5wtE7/8gTd5fe12xibwiZfk/r1d2R97O/ekTv/AovR8Ffy5eIlY+UQKH8QKD+CoMuoo3/ljdWpIu331nZsYq5dNvd8SJzXcvc+OTd8zWky6Qzip+VY+PuKKpsrm2KbQukQV3ON7tOCeZ7Hu3r27hh67fD5rDUfvziCh1ethYCFE7SsMBjY1idmpxbtLp5mwMp0HAoeY1M8Dyel6mZxMh+UUnlJoTYFi+ighMJvQ0oqU/vps8a98B+TU4vXYd91PobUrcqdXLyf19jhLTtriJIVWW3wsKZrZhNaSQFpqX1JoLZXZe/uVk/q9mBw7Jzk5NgOb7afQ2sQjj6ZDYENoafUpt788h5ZYJBY5BnIM5BjIMZBjIMfAPmPg4uKCZ0/zeZ3p9OtpeErOT4OnKaLM1ZMpUJzWR3IyLZ77essVrX0RzPo1BDZWtGpGmb9MBFJoLZPXUq9yUi+hcty85OS4+MfWU2hFRPJ4KgRSaE2F5An6SaF1gqTtGHJO6jsCN2O15GRGcHdwnUJrB9CyyiAEZhVa/r4cJnW9s2hQZAON9N+CY3376xt8v69Z3huidy3RH3/PVS0OfPP+MD56zX9e8i4tTxy7Hy+be79FoeUY631WEYc4ruiHxhfjQMdjcB3SrscRx0yMaUzb7neu/UNM6mBYeo9W7FMJK31mB1x5sSgcgqHyow8/Htqu+8Z/6Q3x2Pg7v7ydqfdb4sSxqeE+BpuhnAjT6Hvbe7pUb8ptCq1LNOEuvkcr4gw/4KVrrba3b9/u3l350EMPrcvI8xeaRl/ncDyb0EJA+EQJeZzAYwXRNhJqAmdbPU7sMe/1KsXPhOF95JgfT8qjPT48zBvDiZmEz+eff35UHO57331OjpZS5BLsojAtxcuYggfErHM6tP7YdiXmXEwR59Rju9TXXfPmntTBkDfDCwNhX7rA6pM7sS+cD/6CSnzAq94iH+05Htpu9M356G+hxxexg1NNaJTa3yfvUJxIUNbe0B6xwS7izrfrhmIjTmgX/mvtCrshvvXtvL6xIH+7blNo/fJm+Mhd6c3wjrP4+fLLLzdeYvrFF1+sHn/88dWnn3561mJrFqFVEzFcyFyYRLvSMatAUsu6iHNh4GJIPhMrP5RRX8JFkyB50YfXx27XN8/jh7Zpg8R224ep+aSE29+4cWNDHPjgnXu/NaEFnv6tR3By4VTCI3LgNqX6sQ3sY16pnvwiqBhP77333jo2JhZ99UB2rW3nntRLGJZWhsDKzwHHCdzBUZMpPv1bfdjGvHiMj1K7XB/gzoWfCz724ZXPgjHmhqykeey77B+CE8evhg358SPQXg9sWGUEm4htxL/EUa1dbPt8C1PacAGu/Km3KbQuz68x3zqEA/jRG+I5z+DUhRnfPZRwm5qzU/E3i9DSRS2CACFRmPhEygmp4z5bLpj8tUuiLQQDW+pzsWSf1OfD2/J9JgLEoHyw5fi7777rti4Uu0bsV5xw8SvhpTa4WMk3+z5hm6uD7LYmtBwvAIj8lUDRysnQMny6mKPeLu2KT/zxI+EPphqPpZiOlTf3pF7CsDQ5gpVuLworrbhQ5nVKK1rYuAhQuy7O3EcN79iW7PBH/SUILfoSBVQJm4hFaUULfErYRD5kN6RdYa46Ndy3rYi5n332U2itVqxAwd3333/fQQm/ElH+R4rjDD9RXKl8SH3ZLnk7i9CqTX4lISJhBcicyH7swEMYEyQ2PlG6MOqrjy/5YOu2tX1vX/uIJE0QiDrqeqLv/JB8X22wevbqq692tzy4jRhX09zX3Pv0o6UkUQunJHhiPESMFXOtHHu4cX7gQrz5ljbHtkv74lNjidvCijOOc8V7zO3cQksYbhM8YOS37MCKC7uwA08JMf6okT/4ow/OHfusCLsd9UtiwrGnTa4h+IyTB3HUJnz3McX+ITihn8KwD5sa7t5Px4bJtcQHopmxMLRd+XffymPbF7PbTbGfQmu10i3AoUILfmpCjPOMP4r0geopODpVH7MILU40Vp1ighSfODm5XFjFY+rjRxfX0m0+2dBmqb7K3QdxuG3c1ypUjD8eU88nWMrJoz4rYGw5Vj59/frrr1dvvvlmt33jjTc24oj+5z4Gk5aSsOMEJcXxEmPV5C77WF6qT54LdeqMbVd1fOzGthm3xNdKmntSL2G4TfAIG/4a1vnrIow8RJevLsHfPita1MdnSWQRD/1YitCiL0NWlrDbhnsNm8iH7Ia0K/5Vp4S7Jn6JRa8z9X4KrfErWuJHwkycMC54oD5F1iUiswgtTlyfhO7cudNdwMh3ERPt/BiiEFaarFTG1idKJln+otWF2tut+SBf/vr2NWjY4r8kHuOESjxaqar1lRUtxBYXe4/D2zvEfmtCCy6c223YgD0Y9qXIT2yDujFvW7vU2WYT2+2L8RBlcwutEoalibPUVwktzrFtq1O040IrHsNLrV3KeNZItypLsfTVL9nvk3cIThyrWt/AfcgKVKl+xB88Yl6pXsStZsPYqIni6GPf4xRal9yNeUaL56+imOL2I/91mP9t+MuInEVo4Z6Tg4smwoMTT8+wcFIrkY8w4iRTHezIJ89FE8daPfIJFn8IBralOjUfbuv7LtyISWVsXfhRFuPvOvF/feeWhosA+aEOseq2luer/qG2rQktYS/c2MJ1KWHrK4bYgKvGHMc1fqK/Me2qrvMW28UfYpv2W0lzT+r0mck6chdvzQkrrVA4VmA6ZGXFMR3aLr63iSz8YlcTat7uFPuH5AQeas86DcV9KDbiRBNwrV3HsOQbP6yMffbZZ246234KrV/+6zBy5w+3iwD4efHFFzt+dJ6nyBI6m9vZhBbNcNFlMucHkcLD3+zrYhxtXnvttY0VDa+PYOKHCzUEM6Hiy/M5WV1YRf9uKx/EFZ+TYoIkH/8SRPjy/FhGuRJxSBR6nmLzOH1ftofa0ofWkmMs0VTCCDvwpMyTjxnnzvPpt34YT6Sh7aqtGJP793Zlf+zt3JO6MCw9XwVWLl4iVj6Rwgex6vxSGXWUL+7YsjoFd9va7avv3MRYvWzq/ZY4qeHufXZs+p7RYtIdwknNt/LxwbjRGFD+XNsUWpfIgnt8jxbc8yzW3bt31/BjF5/PYlyAo5+j7J/76tasQmvNSO40iQAnQKbzQOAQk/p5IDldL5OT6bCcwlMKrSlQTB8lBFJolVA5k7wUWmdC9GrVrQZpef98et12T1NotcVPCq22+FhSNCm0lsTmyL6k0BoJ2Amb56TeHnnJSVucpNBqi48lRbMhtJh48ycxyDGQYyDHQI6BHAM5BnIMTDcGLi4uVvmwzpLkc/YlEUgEEoFEIBFIBJpC4P8Dnfx0sxwza2cAAAAASUVORK5CYII=)
Table 4: Improved AD – DLB Classification results when including CAMCOG memory total score for classification, done for both EC + EO and EC only classification.
![](data:image/png;base64,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)