From f29c43549441faf21daaafd7c257ec095b3f1e85 Mon Sep 17 00:00:00 2001 From: Andy Pack Date: Wed, 27 Dec 2023 22:38:56 +0000 Subject: [PATCH] vault backup: 2023-12-27 22:38:55 Affected files: .obsidian/graph.json .obsidian/workspace.json Gaming/Steam controllers.md Gaming/Ubisoft.md STEM/Signal Proc/Convolution.md STEM/Signal Proc/Fourier Transform.md STEM/Signal Proc/Pole-Zero.md STEM/Signal Proc/System Classes.md STEM/Signal Proc/Transfer Function.md STEM/Speech/Linguistics/Consonants.md STEM/Speech/Linguistics/Linguistics.md STEM/Speech/Linguistics/Terms.md STEM/Speech/Linguistics/Vowels.md STEM/Speech/Literature.md STEM/Speech/NLP/Jargon.md STEM/Speech/NLP/NLP.md STEM/Speech/NLP/Recognition.md STEM/Speech/Perception/Perception.md STEM/Speech/Speech Processing/Applications.md STEM/Speech/Speech Processing/Source-Filter.md STEM/Speech/Speech Processing/Vocal Tract.md Work/Applications/Anthropic/Cover letter.md Work/Applications/Anthropic/In line with values.md Work/Applications/Anthropic/Why Work.md Work/Companies.md Work/Freelancing.md Work/Products.md Work/Tech.md --- Signal Proc/Convolution.md | 5 +++++ Signal Proc/Fourier Transform.md | 5 +++++ Signal Proc/Pole-Zero.md | 4 ++++ Signal Proc/System Classes.md | 4 ++++ Signal Proc/Transfer Function.md | 4 ++++ Speech/Linguistics/Consonants.md | 1 + Speech/Linguistics/Linguistics.md | 1 + Speech/Linguistics/Terms.md | 1 + Speech/Linguistics/Vowels.md | 1 + Speech/Literature.md | 1 + Speech/NLP/Jargon.md | 4 ++++ Speech/NLP/NLP.md | 1 + Speech/NLP/Recognition.md | 1 + Speech/Perception/Perception.md | 4 ++++ Speech/Speech Processing/Applications.md | 1 + Speech/Speech Processing/Source-Filter.md | 4 ++++ Speech/Speech Processing/Vocal Tract.md | 4 ++++ 17 files changed, 46 insertions(+) diff --git a/Signal Proc/Convolution.md b/Signal Proc/Convolution.md index 28008b4..5101756 100644 --- a/Signal Proc/Convolution.md +++ b/Signal Proc/Convolution.md @@ -1,3 +1,8 @@ +--- +tags: + - signals + - maths +--- Integral operator - Satisfies mathematical properties of integral operator - Product of two after one has been reversed and shifted diff --git a/Signal Proc/Fourier Transform.md b/Signal Proc/Fourier Transform.md index 63a960a..a398ee5 100644 --- a/Signal Proc/Fourier Transform.md +++ b/Signal Proc/Fourier Transform.md @@ -1,3 +1,8 @@ +--- +tags: + - signals + - maths +--- $$X(\omega)=\int_{-\infty}^{\infty}x(t)e^{-j\omega t}dt$$ $$x(t)=\frac{1}{2\pi}\int_{2\pi}X(\omega)e^{j\omega t}d\omega$$ ## Discrete-Time diff --git a/Signal Proc/Pole-Zero.md b/Signal Proc/Pole-Zero.md index 2adbf00..c8f63f9 100644 --- a/Signal Proc/Pole-Zero.md +++ b/Signal Proc/Pole-Zero.md @@ -1,3 +1,7 @@ +--- +tags: + - signals +--- - Poles - **X** - Let $X(z) = inf$ diff --git a/Signal Proc/System Classes.md b/Signal Proc/System Classes.md index 765c243..3777408 100644 --- a/Signal Proc/System Classes.md +++ b/Signal Proc/System Classes.md @@ -1,3 +1,7 @@ +--- +tags: + - signals +--- # Dynamic vs Algebraic - Dynamic system has "memory", output depends on present and past - Includes diff and/or integral operators with initial conditions diff --git a/Signal Proc/Transfer Function.md b/Signal Proc/Transfer Function.md index 7583034..d370646 100644 --- a/Signal Proc/Transfer Function.md +++ b/Signal Proc/Transfer Function.md @@ -1,3 +1,7 @@ +--- +tags: + - signals +--- $$Y(s)=H(s)\cdot X(s)$$ - $H(s)=\frac{Y(s)}{X(s)}=\frac{\mathcal L\{y(t)\}}{\mathcal L\{x(t)\}}$ diff --git a/Speech/Linguistics/Consonants.md b/Speech/Linguistics/Consonants.md index bb8ef95..bca683e 100644 --- a/Speech/Linguistics/Consonants.md +++ b/Speech/Linguistics/Consonants.md @@ -1,6 +1,7 @@ --- tags: - linguistics + - speech --- - Complete or partial closure of vocal tract - Voiced/Unvoiced diff --git a/Speech/Linguistics/Linguistics.md b/Speech/Linguistics/Linguistics.md index ca28835..7d3c893 100644 --- a/Speech/Linguistics/Linguistics.md +++ b/Speech/Linguistics/Linguistics.md @@ -1,6 +1,7 @@ --- tags: - linguistics + - speech --- - Phonetics - Sound of language diff --git a/Speech/Linguistics/Terms.md b/Speech/Linguistics/Terms.md index b35207c..21c14fd 100644 --- a/Speech/Linguistics/Terms.md +++ b/Speech/Linguistics/Terms.md @@ -1,6 +1,7 @@ --- tags: - linguistics + - speech --- # Phoneme - Smallest unit of speech diff --git a/Speech/Linguistics/Vowels.md b/Speech/Linguistics/Vowels.md index ca42bec..e284482 100644 --- a/Speech/Linguistics/Vowels.md +++ b/Speech/Linguistics/Vowels.md @@ -1,6 +1,7 @@ --- tags: - linguistics + - speech --- ALL VOICED [Wikipedia - Vowel Sounds](https://en.wikipedia.org/wiki/Vowel#Audio_samples) diff --git a/Speech/Literature.md b/Speech/Literature.md index 676e6b2..0e89b6d 100644 --- a/Speech/Literature.md +++ b/Speech/Literature.md @@ -1,6 +1,7 @@ --- tags: - lit + - speech --- Daniel Jurafsky James H. Martin diff --git a/Speech/NLP/Jargon.md b/Speech/NLP/Jargon.md index 49532b8..a6eaea6 100644 --- a/Speech/NLP/Jargon.md +++ b/Speech/NLP/Jargon.md @@ -1,3 +1,7 @@ +--- +tags: + - speech +--- - Types - Distinct words - |V| diff --git a/Speech/NLP/NLP.md b/Speech/NLP/NLP.md index 3b6770b..e870d77 100644 --- a/Speech/NLP/NLP.md +++ b/Speech/NLP/NLP.md @@ -1,6 +1,7 @@ --- tags: - ai + - speech --- # Text Normalisation - Tokenisation diff --git a/Speech/NLP/Recognition.md b/Speech/NLP/Recognition.md index d2d54f8..b172e73 100644 --- a/Speech/NLP/Recognition.md +++ b/Speech/NLP/Recognition.md @@ -1,6 +1,7 @@ --- tags: - ai + - speech --- 1. Automatic Speech Recognition - Spoken words to machine-readable form diff --git a/Speech/Perception/Perception.md b/Speech/Perception/Perception.md index 514c19c..e499059 100644 --- a/Speech/Perception/Perception.md +++ b/Speech/Perception/Perception.md @@ -1,3 +1,7 @@ +--- +tags: + - speech +--- # Physiological - Physical/mechanical processing of sound - Ear stuff diff --git a/Speech/Speech Processing/Applications.md b/Speech/Speech Processing/Applications.md index 99bf437..2a894e2 100644 --- a/Speech/Speech Processing/Applications.md +++ b/Speech/Speech Processing/Applications.md @@ -1,6 +1,7 @@ --- tags: - media + - speech --- - Speech telecommunications & Encoding - Preserving perceptibility and quality over the wire diff --git a/Speech/Speech Processing/Source-Filter.md b/Speech/Speech Processing/Source-Filter.md index 757cd22..6aeb6fe 100644 --- a/Speech/Speech Processing/Source-Filter.md +++ b/Speech/Speech Processing/Source-Filter.md @@ -1,3 +1,7 @@ +--- +tags: + - speech +--- [![File:Source-filter model 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SoFRCByJCQP1WWC57fA9ODBg3ZW1ALiq5dWBBSBACGA6/bSpUtdi4gd+p28M4oyfZkDodDLSJGQPEyDBdA/SGnBV48nTqDQOOv1FQFFICAI4KSwadMm15rrZeULbkOX/iMQGRISAioT+PCE64q6/fLLLzv7r/+o6hUVAUUg0AgsX77cZk2JNfIb8v64OtANjnDjIkFC8gDRj99LGc29whMGtVtFEVAEFIFkCPChunDhQvehyvvjYXmPjEp2rO7LLwKRICGB6C4p1wIVTgibN29mVUURUAQUgQYRwGSPxSSW2qeDHPhIzKLS4Dn6Q+4RCD0JyUNzhcDyZaAhg+6KFStyj5LWqAgoApFEgNhBLCcxQRPSjAoODZ+WoSYhISASEj4opXl1dbV1v5R9PkGnl1EEFIEoIICjwsaNG11XbpJ3yMfchi7zj0BoSUgeFNoOAfWAeBYtWmSOHz+ef8T0CoqAIhA5BJhXjJCOmPxQ3ikT3YYu84tAaElIYPmqlFnAs2rVKrN//35WVRQBRUARSBsB56gQy67fSiogowJTQKjkGYFQkpA8HBcJLv8DNowDrVu3Ls8wafWKgCIQdQQqKyvNkiVLXDfPkpVfuQ1d5g+B0JGQEFAPgeNhKTYgFTOc7MsfQlqzIqAIFA0CTP2wYcMG198b5d1yh9vQZX4QCBUJyQNBe38npQ/Es3jxYqNzA+XnwdBaFYFiRQAPW8/40A/kXcM8RCp5QiBUJCQYfFYKs6SatWvXmvLyclZVFAFFQBHIGQKMD5HoVMeHcgZpoxWFhoTkawQf/q/TG6btXbNmTaMd0x8VAUVAEcgUgaqqKu/4EFM+/DrTuvS8xhEIBQkJATH/x/1SWjFDKoOHmONUFAFFQBHIFwIJ40PvknfOJ/J1rWKuNxQkJDeILLfncaOw1+LFoqIIKAKKQL4R4H3jyUPJ+NDUfF+z2OoPPAnJTWfOj69wYxgD8qRgL7Z7pf1VBBQBnxFw8UOxQPgSufxD8k4iY79KjhAINAnJzeam3y+llEFCjw9/jrqv1SgCioAi0DgCpATzTIQ3RI7+XuNn6K/pIBBoEpKOEJA6gQ6RVoOHQUURUAQUAb8RYHyIHHMx+Yh8IF/jNnSZHQKBJSG5yWOla1+ke7t37/Y+ANn1WM9WBBQBRSADBPgQxmsuJr+Sd1R3t6HLzBEIJAnJzWXO959KKcEM51GFM++pnqkIKAKKQBYI8C4iQF7eT9TSU4qm9ckCT3dqIElIGvc+KRfSSJKT1tTUsKqiCCgCikBBESBRsidX5TuEkP6toA2KwMUDR0JyU5nh8G6wPXz4sHeejwjArV1QBBSBsCPAhzGT4cXkR/LOGuY2dJk+AoEjIekCWRGYrM4sX77cqb5sqigCioAiUHAEMMe98sorblrwdtKgB2Rfi4I3LKQNCBQJyY0cIzjarLV4opCeR0URUAQUgaAhcOTIEbNy5UrXrGmyQkC9SgYIBIqEpP33SmlJYNhrr72WQXf0FEVAEVAE/EFg/fr13iTKd8pHtGbbzgD6wJCQ3MBrpf0z6MPq1atNbW1tBt3RUxQBRUAR8A8BzHKebAq/k/dYG/+uHo0rBYKE5MbRjm8A6dGjR9UZIRrPlvZCEYg8AnjuLlu2zPXzbFmxTlVuhy6bRiAQJCTNvEkKwalWCxJSYlVFEVAEFIHAI7B9+3azdetW185PyPvLWnTcDl02jkDBSUhuGNM0fJVm4pJNegwVRUARUATChACevLF4Rt6pv5H3mprlUryBBSchaSfBXiNoL94mqgWBhIoioAiECQGyKXjMcsOl7XeGqf2FbGtBSUgIp5V0niSlhkhkcsSpKAKKgCIQRgR27dplMM3F5LPyfpvkNnTZMAIFJSFpFmNB/WgeUcgqioAioAiEGQHMcjHPXoYZMMuVhrk/frS90CT0n3SSFBgamOrH7dZrKAKKQD4RgIDIth2Tc2T5ebehy+QIFIyE5AthljRpHM0i6EtFEVAEFIEoILBt2zbv0MKX5V13VhT6la8+FIyEpEOfpVN4lKhHXL5ur9arCCgChUAAJ4WTJ09y6dZSflaINoTlmgUhIfkywBvuCkBCC2IedxVFQBFQBKKCALNAr1mzxnXnMnnn3ew2dFkfgYKQkDTho1Ka86WwadOm+i3SLUVAEVAEIoAAH9jEPsbkB0JEndyGLk8j4DsJyY0g5bn9KsAMh3+9iiKgCCgCUUMACw+zQss7j671kvKtqPUxF/3xnYSk0ZdJ4YZ4U12wqaIIKAKKQKQQqKioMJs3b3Z9+ogQ0nluQ5d1CBSChN7HpbGZqlu2PoaKgCIQdQTIBBPLtM379h4homZR73M6/fOVhAT89tK462ggbowxNTWd9uqxioAioAiECgEIyBOMf740/pZQdSDPjfWVhKQvl0thOlxLQixVFAFFQBGIOgI4YB06dMh189uxD3K3XdRLv0noStCuqqryeo0U9Q3QzisCikD0EcDqQ0qfmPSV5ZfcRrEv/SYhGxtUXl5e7Lhr/xUBRaDIECBJsyfB6WeEmAYXGQRJu+sbCQngo6QFA2jFnj17kjZGdyoCioAiEGUEXnvtNXPq1Cm62ErKN6Lc11T75hsJSYMYD7LZEfbu3Ztq+/Q4RUARUAQigwBewZ5cmTfJx/nEyHQuw474SULWP57BOQ1QzfBu6WmKgCIQegRef/11r8v2t0PfoSw74CcJ2QmeDh48mGWT9XRFQBFQBMKLAB/ha9eudR24VLQhayVyO4pt6QsJCchlAqxNZ64kVGyPmPZXEVAEEhHYsGGDDdiP7b9b3pFFG8DqCwkJ0BOk2GspCSU+jrqtCCgCxYYAeeU8Aay8H20Qf7HhQH/9IqFhXEzY3hw5coRVFUVAEVAEihoBssYcPXrUYfCVYtWG/CKhQSB97NgxnTvIPXK6VAQUgaJGgI9yz9gQ2tA1xQiIXyRkg7LIlKCiCCgCioAiUIdAgjZ0ZzFqQ36RkA1SxUdeRRFQBBQBRaAOAbQhXLZjQszQVW6jWJZ+kVAXAK2trS0WXLWfioAioAikhMDWrVtNZWWlO/ZzbqVYln6RUGcA1SDVYnmstJ+KgCKQKgJoQ54sCjNle1yq50bhOL9IqCNgKQlF4ZHRPigCikCuEdiyZYv3/fipXNcf5Pr8IiGS9bnEfUHGQ9umCCgCioDvCJw8edI7Dfgtog318L0RBbqgXyT0ZoH6p5dVBBQBRSAUCJBFAdOcSGspHwlFo3PQSL9IyCLbrFnRZqbIwa3SKhQBRSDKCBDCsnv3btfFW4WQiuKF6RcJqSbkHi1dKgKKgCLQAAKMDcWEXJtT3UaUl76SkGpCUX6UtG+KgCKQLQJoQsePH3fVvN+tRHnpFwmpOS7KT5H2TRFQBHKCAIlNPVOAv0dMctapKyeVB7QSv0jIzmcbUAy0WYqAIqAIBAYBgldjQpD/TLcR1aVfJHQSAJs39+tyUb1d2i9FQBGIOgIVFRXe7DKXRb2/frGCJSEdE4r646T9UwQUgVwgUF5e7qq5wq1EdekXCZ0AQNWEovoYab8UAUUglwh4SGi0jAv1z2XdQavLLxKy7h6qCQXt9mt7FAFFIIgI7Nmzx9usGd6NqK37RUI6JhS1J0f7owgoAnlDgAlAKTEZ6VaiuPSLhKKInfZJEVAEFIG8IeCZ+ltJKAcot6cOkvSpKAKKgCKgCDSNgIeERjR9dHiP8EsTUhIK7zOiLVcEFIECIOCZibpPAS7v2yXzTkLi2dFOelNGj3RmVd/uq15IEVAEQo6Ax3LUJuRdabT5eSchufoQKTYbLFliVRQBRUARUASaRqBFixbuoLiHgtsRpaUfJDTYAaYk5JDQpSKgCCgCjSPQqlU8bdzBxo8M969+kNBQIDp16pSpqakJN1raekVAEVAEfEKgfXs7lM7VNvp0yYJcxg8SspqQakEFub96UUVAEQgpAmVldiid1q8PaRdSarYfJDSEligJpXQ/9CBFQBFQBAzZZdq1w6fLyga3EsWlHyTUHeDUFBfFx0f7pAgoAvlAoG3btt5cm6oJZQlyJ84/ccLmMM2yKj1dEVAEFIHoI+AZD6Kzqgllecs7cr6SUJYo6umKgCJQNAh06NDB9bVWVja7jSgu/TDHqSYUxSdH+6QIKAJ5Q6BjR/vtTv1rZXwo0vnO8kpCki2BaCvr7O6J/s3bjdOKFQFFQBGIAgIeEloVhf401oe8kpBcuKW7uBCSW9WlIqAIKAKKQCMIeMxxSkKN4JTKT0pCqaCkxygCioAiEEMA1+yWLeOvTiWhLJ+MePIj1YSyRFJPVwQUgaJAwGOKo7+RJ6E43ebp7sZJ6M0338zTJbRaRSC4CJCEsmvXrqZNmzY2dRVeosTMMVeMfpgF974VsmUeU9wRace2QrbFj2vnm4Rs9mw/OqLXUASCgkBpaanp06eP6du3r+nZs6fxZEOON5FciocOHTIHDhww5eXlZu/evZak4gfoStEi4NGE1ohnXOQH0/NNQsfdk9S8eb59INyVdKkI+I9Ap06dTI8ePUyvXr3skrQrjYnTkNCShg0bZglo3759ZteuXWb79u3m+PH4n05j1ehvEUTAowmtjmD3zuiSktAZkOgORaBpBDCvOcJB2/Gk3Y+fvP/4KbOp6rjZUnXCHDpxyrQUYipt3sx0KGluupe2NN1btTB92rQ0bVs0t9oS9VHGjx9vtaNt27ZZUtLwhjikkV/h48WTuDTy40Hc0HyTUDxXj2pCkf/7iXQHeX7RWnr37m2JwmMyiff7TTGc7Kk9abYK6WyqPm6OnKg/DnpKwhRq5aCjJ980O2tOxx9CRv3blJhB7UpMz1Ytbc4wrkPBbId2BCHt2bPH6NhqHO5IruAZ5zHfrolkJxM6lVcSwp4pAhGVKAklIK+bgUfAje0wvoOpraSk5Iw2HxBtZ3vNCbNDSGX3sZPmBEyUpuyrPWUoyw4dMx1aNjdntS81w6R0KW1hX0j9+/c3FEx0O3bsMFu2bDEVFRVpXkUPDwMCnszZNDfSOePc/cgrCcUugnFbScghrstAI8BXaL9+/exLHzNb4scTmswOIZ1t1ZSTpvpUfW0n284dES0JMqJ0FRKCjCClMiEnSHHIkCG24F23detWS0iaoT5b1INzvoeEUJW3B6dl+WuJHyTEdKrtPCpm/nqjNSsCGSKAqW3QoEGWfBI1ngrRdrZa0jlhysXcloGyk1GruG7FgRqzUEqv1i0tIUFKrWRciXGDMWPGmNGjR1vPOrSjnTt3qoddRkgH5yQPCe0QS1J8OCM4Lcx9S/wgIXzduyX+Yee+K1qjIpAeAmg5mLnwTuvcuXO9kyGADZXHzUZxLDicMLZT70CfNvaIqY/yckW1GdS21IwoK7XjSM1lIBuNjUIMEp51aq7z6abk4TIeEtqch+oDWaUfJHSUnnvSUAQSCG1U8SCAVj506FAzYsQI07p163jHj516y6wX4nn9aK3Bsy2IIk20xAg54lU3XDQjCInxIz70nLmusrLSOjNgsmNdJRwIMJldTLa6lagv/SAhNKGkg7pRB1f7FywE0HwwuY0aNcpmMHCtg3BWH6k1bxw9bk6GKNEu41GvHj5mCyQEIY0sa2XatGhmmBSNflKOHDkSHz86duyY67YuA4iAx2J0MIDNy0uTfCMh1YTycv+00hQRIP5mwoQJ9uXsTsHBYKk4AOzyuEu738K2xEuPsaNXDtaYgWKug5AGtC0xwkeG4MexY8faMSQyM+DuzfiRTjQZvLvseU8WjfrqBwlZc5yH4YN357VFkUUA88a4ceOsx5vr5C4ZW1ksL2xcqqMmmOsIkKXgwDCkXZ27N0GxBEK68aOJEydq/FEAb76HhOx7M4BNzHmT/CAhNcfl/LZphakgMGDAAMPL1n0A4f48f3+12SKebsUguJOvlfEtSjvij4SQ0JC6SXAs42Iu/giNiEBYtKPdu3cbzdBQuKdDSSg/2O+nWmIcVBQBPxDgDxnyGThwoL0cmQpePVRrY2/CNOaTS6yqhIBXyPgRpXNJXfwR7t6kEIKkHSGRkYGEqhASxKQxSLm8C43XhabqiUurbfzo6Pzqhya0D7iS5daKDozak6AgQPzM+eefH8+/xVjJc3urDEuVOgQOSh67xTJ2ROkhaYKGSLqgwVI6CTnxEnQpgzj68OHDlowgpP3792vaoDw+REztwUdAjIja5PFSgaraNxLi6xQTALmwVBSBfCDQrVs3S0BO68bj7eWKmlB5vOUDl8bq3CvBtxScGjqLh90QcWYYLGY78tkh5Mij4M6OmQ7HBrJ9Q0gHDx7UOZEaAzeD38A49vy2y+D0UJ7iBwlZcxzooA1VV1eHEihtdLARwJw0efJk+xXJ4PzsfVU25ifYrQ5W6w6KtriUIh6D7SQGqX/bltbDrp8kV8XJgQ9J8uhREF6YzIcEITlS0ikosrunuNDHSKgO5OyqC8XZfpCQNceBhpJQKJ6J0DWSsZ/zzjvPen8xGP/0nkqDB5xK5ghUSQzS6xI3RREvb9ND0gYNEDLqJ1523cWEh+s3pERiV4oTPjIx4TFhnyvs0+zfDqHGl2AVm0+obkCz8cMj8avvJBQJ1LQTgUGAr3JHQEyR8MTuSjt3T2AaGIGGiGJpyoXUKa9ICGULGUDvIea63kJMFPLaMU8Sgks8hXElJ4x14ODAC7aqqsoW1tGa8MxzBc3KFXdusS092S3GFkvffSUhb4qUYgFY+5k/BIh5mTZtmtWAyB7w+O6jgcjzlo8e3zG0i632ZxsP5KP6tOrE25AYKxdnBf0wnkTW724UIaiuMmkfmRvw+EIgIsiJcbtUhXO8AbVoU94xZdYb24bQqMMdR13U4YiO7draWoMJjCWl0Bob42wxGSpt7yz4xXe4H6K2zDsJCYjHBEwmP+nKbJQqikAuECAtDQSEJxEmuMdFAwpCotFc9C1sdaAp4X1IWe9pPLntnDA1BdNR2CJu4e1b1jk+QBINCQTmnEwaOiaX+2kLmhrmRArjXThieIkul9dLVhfXjAnsfbGUR2PbkV3knYRiyO2UpZJQZB8jfzuGlyUERHwLX+VPCgGpC7a/9yCVq6GdOs1tkXjfJZOHth+2Tg8lQjglYtLDrMfSCfs9m/b307/KOLPnR5QuZxbk/OYymiV8F1uKY4Wst5B9rURDgx691+F4SI+PG0rfvn3ZZTUxZrYlMzmElG8hzx9EGMumfY1cT0koR6DvkHrOUU0oR2gWeTXkgOvUqZNFYe7+GjvHT5FDEtruJ06B7mdHWgrptBZCwhPQLoWlukisFMlgMS2yjw8dHF8oBPGuWrXKakj5bOduyVpx1llncYl3iHbWRsgxOYPnsxE+1u2XJgQJWZuwj33TS0UQAVLxDB482PYMzy1S0qQqblzlp2/sM8/8/B4z/0+/M0f2lpvuAwebqz7xOTPpmneeUdXGJQvN3D/cb95YMNcc2b/PtOvU2QyfOsNc859fMj0GDz3j+KVPPmrmPvRbs2fTG6ZK7Pvtu3QxQyZONhfccrsZef5F8ePTrTd+Yhorm5cvMS/89l7DtY5W7Det5Quftlz8gY+Ysy+YGa8p1bZ885qLzI41K82Hf3q/mXDVtfHz3crSJ/9ufvOp203/UeeYLz4+x+52mDuNiJ1uX+I624PGTTRbViwz77v7J2b6je9lVz3hnj30pU+bwRMmmf/6y7P1fkt3g+wZlScpyWfHJVZqaCz3XnshKMYg8QRcv369JaN8menQumIkxEDgzVLuS7dvYTreq9nmrd3C5l+Ryv+Xgb/HHnssb9fRiqONAF+lV155pZ0DCPPbX3ceTSsQ1b38eLm9/MhDZ4D1id8+YkZdOKvefndOvZ2y0bZjJ/PFf8w2XfsPjP/0xA/vNk/95Dvx7cSVhl7E3uOS1cvvrh3eOrznJa4//+v/M49++07zlgzEJxNvPa7uxOMS2zLnwV+ZP3/tvy1GYJUoP73tXWbNSy+Y99z1HXPR+z9kf3Z1p3I9Tvjg939u7v/sx0y/UWPNlx5/MfES5htvm2F2rVtjbv/Rr82kt99wxu/52CEKkRndoZWZ2KmNdbbgGpjNFi5caMeO8nHNWbNmmS7yASOySsp40YYiG+WPadQPsZoQcULY81UUgUwQYCprPCwZyp6zrzotAvJe77Xnnzb/9uP7zPdf3WK+Pme5GTHtQvszWkOijL7oUsMLl2N/tHqX+cI/XrDHVx8+ZJ4WbcorL/7u13bzkts/br7x0grzk3Xl5rtLN5qP/+oP9TQPDkqnXu81Ullfv2i+efTur1oCmnL9e8wXH5tt7lm53Xx/+WZzx6//mHFbJr/jRtOytJVZO2+2ObRnV72msL123hz7+3nXvqveb4kbXkJi3VsmXn2d6dCtu9W4NryyoN6p615+0RJQp569zYQrGS7xRwh+fu1wrfmDjF8x2y5CLM8ll1ximCIkH7Ju3TpX7RhZeb/biOLSVxICQB0XiuJjlP8+MQYUM1GYdWKCK5dUM5nKjV/9ljlXXnZtyjpYTebGr3zTVrX1tVfPqPLf7/uz/fLn2BIhwAFjxpvb7vmlPe71+Ylf6tCjMSOnX2Q69eptWrQssea7sZdcYT55/1/tb+6/9Op1Z6W2/Nd991rX5PPf835z6/fuNf1HjzOt2rYzbTp0NGNmXp5xW9CMxl9+tSW3BX99uF5jXv7LQ3b/+CvebrXEej+msdGypNTMuPk2e8bsB35R78wXfvtzu33h+/7NYlvvRx828MIkD+HzUk6IKY9g3RkzZsTNw7lswo4dO7xjT98Qa1KHXNYfpLr8GhPa5jpNrIAnIMvt1qUi0CgCzAmE9xIvAvKcZSOJJrceQ86y1VUfOXRGtXx9v3D/L8zW15aZSnGfffPUafI7XL6n3vGMKaEN/exDN5lSCUeAsBgHmn7j+4SU6mdhSafeehdJYWPTssX2qEtu+3gKRxuTTlumSV+WPPE3s+CRh82Vd3zW3hNcmxf+5Q/2WvQ1W7ngltvMM/feY1Y8+5TVuMBu39ZNZtWc50yJWFNm3HxrtpfI6nymgD8kSWDf1qu9nWJ90qRJVkNfu3ZtVvUmnvzaa6+Ziy++mN246n1PykfYiJr4pQltEeCsTRP3RxVFIB0EunbtGk8Ns0QyP9dgH8lCcC7wCl/fSOL4CQPtP/7ADWblv542R/btrUdAHH/yeH2nCDSqd335/5m+I0eb45IhAHMS40R3XXqewUTmJN163XmpLjEVIl37DWzylHTbAql26dvf7N++Rfo0z9b/xsK5drtrvwFmxPQ602aTF27kgI49elrHBwj/xd//xh45+/5f2vsz+bp3m/aduzZytj8/7as9Zf4mY5JkJEfGjBljRo4cmdOLkyh206ZNrs4PCdlf6jaitPSFhOQLlr/WHQCnJBSlx8efvpx99tn2QsSdrDlSZ5P348pP/fjb1qzFl/ldz79ifrRmtx2/+OEqwt7OlOYtWhrGg7785FzznSXrzUd+9oB40l1gCelvMkbjJN163XmpLjGbIRU7tjZ5SrptQRud9s5bbL3OuWNBzMlj6jtvjmdIaPLCTRxw8a11H/3z//ig9UpcGDP/zbz1o02c6d/PpIn6+66jpkKcZBCmUB82bFhOG4A2RIojEXGPML8WIirL6QUCUJkvJBTrp6X0WBBWALquTQgDAowFuTxkK2RiOj8npdu3bYuF6LrP32ndsTEFIa/Pn2OXjf3H1/r4K64xH733QXvY7g3xgWaTTb2NXdP9hhs2kszRwh3jlpm0Zdq7bjHNJFPF8qcfMwd2bjfLn3ncbjtycnU3toSwkRPiMZtMhkw4zwwcO8FUHqwwP//IzeZYVaV1COkzYlSywwu275ho5aSLcsHS48ePN0OHnum6n2kDSS30yiuvuNNRbb/tNqKy9JOENgCaakJReXT86YfTgvhjX51GTFAuWte5d13U/HO//LGpOnTQ1Bw5bJY99Q/z8Jf/I2n1P7jparP473+24xiYkjDhPfern9hjS0pbx89Jt974iSmuzBJtDI2FmJoHPvdxs33Na6a2usq2f9XsZ81PPng6HiqTtmCOGzHtAnNCcq796hMftMuRYoZjf6qCyQ1Z/OifrKaY7LyLb/2w3U3cEDLzg8HRgmyDYv9hHiZtFONECLP6Es+WKyFTw5YtW1x1HxNt6Cq3EYUlKp4vIsD9t1zobpIHPvpo5DNR+IJp1C+CJ+XVV19tX6ivyFjQkoPHsupyspgVV2Gy3yCQR+++0x0SX065/iaz6NE/2m2vu7GrI36gZ+XqT/+3ufpT/AkYS0zp1Ms5rm7v9djfkDz/q5/WxQmJ00AycfWk20dXF84J9336Q25TXN5/Ix6H18e33UpD7f7z175g5jxY52XojmXp2sU6Y25fnnGOBNruM90HDDZ3/esVq3HxWxCFgNZ39C6zU6aTCHXu3Lk5S/VDjNzll1/uAv7JHzROPjTqe8YEEZQU2uSnJrSR9uDWqFN9p3Bn9BDr+soXvTjEmbU+jgU56Gfdfoe54Qv/a3oMGmrjX7r1H2Te/h9fMO//9o/dIfWWRPBPf/f7rNs37tnEuwyfMsPGJDkC4oR06613kRQ3Lv3wJ8xn/vikjaehHZi/MBGec+lV5pMP/C1eS6ZtwVXbOXiwHHfZ2+J1prKCiZPxM4J9wSqZEJPkslKgFWECDLKQeeHxPUet4wyJdadPnx5PL5VtuzHLLVq0yI5RSl1M4PQH+bAPNiApdtpPTWi8tGk57XrhhRdMRUVFik3Uw4oRAcjnbW97m/3y21R1wjxTXlmMMBR1nwl+/cmtN5hSCeu4e8FaSTsUjjH5njK/0rW92xty0zGP0r/+9S+7zMXNHDVqlCFoOyb/LX8n33EbYV36yaTrBSRrG4jNHBhWzLTdPiCAMwIxZciaI8kHr31ohl6iQAjgeXfvh2+2V5987Y2hISAazOR/BLTyssOkfMEFF9hEqLYzWf5HLBKu2zEhiPU8txHWpW8kJIxdJSBZn1ElobA+Lv61e8iQIfZiZFneUXPCvwvrlQqOAONIv//CJ+2YEB6JV3wsuSNIwRvaSAM2i/Y+b791rTYdO3a0pjlMdNmKkI41yzErrQh2TMxydT752VZeoPOzRyW9hq/mcCWh9EArtqOZyIyMxQhZspMPrRcbKsXVX8awCPr92C8erpckNkworBINfrlM5oeQfZtp6HMhmPiWLFniqsIf/AEhIt+GVtyFc7Wsc9bPVW1N17NGDrlaSahpoIr5iH79+tkZU8HAJYwsZjyKre9eD7mw950UU+3Ea254+1Lrtk3g6cqVK7Pu1s6dO80bb7xhhg8fTl3Mq/FFKd9kI2zityYECVlbPy6HKopAMgRcjAW29SPicaSiCIQZgdn7quImZVL7uES82faJbAqe8aGvizZ0ZbZ1FuJ8v0nImuPoaFlZODxdCnFTivmaDOR269bNQrChyr8UPcWMufY9vwgQYvBseVW9rAp9+vTJ+qKMDzGnEeY5Ed7lv5N9uYuSzbqFqVXgNwmtlWZZEz+DdSqKQCICmOJwz+Yh2VCpDgmJ+Oh2OBEg+/uTeypNleQ/5PmeMmWK6dy5fiLdTHp2TLJWQEQEx4rw9faIEFFdfqlMKizAOb6OCQn4lQIQHnKDdFyoAHc7BJfs27cuVc6umpOGhKXFJh1LmpvurVqaDjKOwFhCq+bNjPyzAbvH5UXGy6xGcKmWVDHVYqq0S9nmN5VgI0Aw65OS3uf6PmWmRIL2zz//fBszGUtQmnHj9+/fbzDNkbdOZLKUH0n5GBthEF9JKAYIo3KDSEypogh4EcArzpnitlQXhykOl6b+bUvM0HYlZmDb0vj00V5cUlk/JaaZRGKCxMlrxvL0b28a2aVSIATIuM3EeFfJXESYniGi2bNnG9KZZSPr16+304HHxlM/Kh/7C+Wj//5s6vTr3EKQ0FLp3DW5UEX9Akmv4w8CBKhiqkC2VEfbFNdC+jmqQ6kZ17G1KRONJ1GIA+ELuTaWZRpccOYh5RWlRYsW9U6hvrKWlDPrqnegbJAMto6Y6sipympUp9chLvYxe6hK7hHYKs/2/IpqM6NrW5vWZ+rUqWb+/PkuJU/GF1y6dKmNSYoNdfxMiGiFPDc2S03GlfpwYqFIyP5BkVFbZ1n14S6H5BJuyoaD8rVIkGpUZaBoPhd2a2tIeOkEwtm1a5fZs2ePOXjwoMHW35iQg5Ev6dYy5XhigaTcb6w7Ynf1tW7RzLQWEuti6hOZ+90tT4iJjzEMtChIyZETBMb+qpNvGUxMfk6v4doW9uXKw7WmU0kLM6ZDKztVCaa05cuz4wu0qQULFphZs2bxfm0jGP1FiGiS3P+DQcarYCQEKGhDSkJBfjz8axvR5L169bIXjKoW1EZe/ufL1+8wiRlxQpr+devWmfLy8rS+hHnhHD161BZXV7IlBOS0J0dMbunIy20nalclMhjVqXkLeVkmq/n0PsapICkICXJiWSkExT62j8oHhWpVp/Fya2RUYOxvgHyU4LbN/dywwc544w5Je0kdzD9E8lSRIVJ+L0R0jTwHgf2q852EBIzdAspuAac340Lbt28HLJUiR4CxIBc7hrkiatJHklpe3lPGAYSIED6+MJ9AQvkU+VuzWhWa1eHDhxu9FPg7QmLp1ai82+4+ucpwnmhVKpqVlIYEEyAzkR49ecou0XTrtuuWaF3FJvT4WRkfwlGhq2CHNlRVVWV27+b1mLkQyPr666+76cZJb/4VKV/LvMb8nuk7CcW6w7jQ23VcKL83N0y1uzQ9fFXvkSDVKMnYjq3M9C5trZcbpECk++rVq82pU3WToAWlr0wXQDly5EijTUJjgpQoJJlNto6W5RVnAuzeKjlRYeo7LJPCHRJyYnK4w7Ks2z4VaUcKyPcpcd1+Z98y07ZFc8P4EI4Khw4d8sKX9vqqVausowLpgkS+Ks/dUlEAnki7Ih9OUBLyAWS9RNMIOBLaKa7ZUfkmxrWasZ+zy+rCNnAywGbviXJvGpgAHgF5osk1ZkrHvOrIqV27doYCYbkl696EnmiIbSRfXK/63GWfBcx7EFNF7SmzT8YL99WetCQVQGgyahL9g4je4XHdZvqHpsYFG7sYHzvED1166aXgzuAjZrkpQkTrGjuvEL/V2QZ8vrKAcY1c8jEu+9RTT1kV1Ocm6OUChACu2ddee60dQH9J7OSrIzB1A3PJXNaznRkk9n4EZ4OXX37ZerwFCPqCNUVehtahwhEUS7KoUHBYSjT5JTaUuKj9lpROmr2y3CmZ1tGmwiyDxU3/CjHZ8lLmeZkzZ07WrttYm2bOnOm8KV+XqqcK9o3bZX0GsVAk1Fv6uYu+Mlvgtm3bfO62Xi5ICJAlYdq0abZJD28/HPqv3FJRgYgDYRwIwUbPcx4085ttXED/w5znJSWC2xlDRrtKJtAPpMS0H9ulYNINIyfhsj+9a10f8ZScN29eWg4rybAZOHCgmTyZGFYrmOTeIUQUGEeFgpAQUIg2xHTfQzZu3GiWLVvGLpUiReDcc881zB/EQPXvtwXqIy3tO4JZ6epeZZL1oG7sY/PmzdYBAfOISvYIQE583UNILCmY9hIFb7xt4uDCvD44uoQpo8QFYsLFdRvh+fFM25DYzZS3x40b5zJuc87/ExL6n5RPzvOBhRoTolvzpAxxEfJ57qdWH2AEYoOn8UzDAW5qo00jzc41Mq1zZ4n/QPBQykXa/kYvWmQ/Mk6C95jXgwxTHmOKFJ4lzLslYu4b2q7UFjQizHVME79ZMnHgqRdkwXW7nTgpYJ4bPHiwNeGuWWMnIMi42aT1IYg1Nvb6JfkoWi5E9NeMK8zhiYXUhD4i/fgFX4iPPfaYic0UmMOuaVVhQADzytvf/nbb1H+Ju+obleFM10O8xzUysMwSgXwgIRV/EZAXq/UKI/CZPISJOSplKMlsE0J64+hxycpxPLAmO8YUr+3T3vSUPILIihUrrFdlNmhCzjgqQNoilVKmC17ZT26UTaPk3EKS0Ci5vp3aAbun98smyz7p6SFCoH///tYtlSZjisMkFzZB80EDQhNCiHzPNugwbBgEtb2MKzHmCCFhuvMK4QAb5aNnnZQghgXg1v6O3mXx+KtcPFdoQ5dccokh44bIJinnCREd8OLi93ohSYhr75PSVc0Wft/24FxvwoQJNlocN9XfhXA8iLEfxoAYC0Krx36/ZcuW4ACsLYkjgAZAgk8G6iEnrxA8u66y1mriQUoZ1UbMcteJRkSKH2Tt2rWGGKBsxOsIJPU8J+UqIaKCBa0VjIQAUf5o/yGLa0lFToCWSvEhcNlll9lB5vXyNfq8mOPCJJhK3i4aEN5wzOeCB9yOHTvC1IWibWvXrl0tIUFKmKm8sls86zALoyWhLRVaGB/CNOeIKBcf7WPGjDFnn32269oPhIQ+6zb8XtbZD/y+6unrzWcVNdkbuHb6Z12LMgLEgrjJDfnDD5P0EvdrR0C4XpMFWQkoPHewoqLCmk0ff/xxG7+FG31sYjjTW+7tReKhduvAjubSHu3irvaF6h359/6282jcZMgU4cOGDcuqOWTs8AyBfEYUgluyqjCLkwutCREc8jLtnzNnTugjybO4D0V5KglLL7jgAtv3P+04Ep/+OOhgMAZ0vaRZIWcaiUQhoHzngAs6JlFoHxoRY5SY69CUvELGhjVHGD+qLZh3HRo3Y0TdxASM6ZfnzkMk3uamtM5HIBm3Y6ZJzBAEsmZn60vpyvUPKjQJMTq2X0rHXKiY9bumW0FHYNSoUWb06NE2huO+LYdCka6HsZ8b+nQwHWQGVDSguXPn6sdT0B+0DNpH1gbcowcNGmQzO7gqmDxwo7h6r5GsHoXQ3nF+Ic8cJjo+gF544YUmE9O6tidb4j0IEcUcFd6QYyYLEfkarFdQc5x0FhvMC4DjcoexrlIcCDhvJSLdC295bxpzvtgu7dHeEhBHkzI/7Hngmu51cR5BXjzc7J988kmb74+pNhAmDxwuU3FcJ+74N/XvYM6R5LRoxH4J02P8U/LMEYwLccyYMcNmO8/0+iSr9QTDDpd67hcty78OyQULSkIx4J5hSQQ0qeNVigcBR0J7j4djPOjczq1NvzZ1cRvY1HUakug/q4wTMdb30ksvmX/+85829svNdotZlvmhGDu6pLsEzMZievKNyj75aCOmjg83skWQ8ko+6DO+LM8xmd1jcp0s/9tt+LEMAgk9S0cBUbUhP255MK5B+hWXB4w/qqALjgiTOtfl9OKrGFdZleJCwGlHTzzxhM1Q7cYB0Y5GlJWaG8RM9q6+HWzWdIJN8ymkI1pysMZeonv37oa0PNkIWp9Hq/+GaEOzsqkvnXMLTkJCPpulwetptJJQOrcu3Mc6LYhekJo/yMILZWb3tjaym7QxixcvtgPDQW6zti1/CKAdoT28+OKLVjtiZlyX8YW4sYvlWfmAaEckIu0oY4f5kiUHj0nWh7oJIPGWw6EiU6FPTP0Qmz6CoKSHhIg6ZlpfOuflD6F0WiETDHK4klB6oIX56C5dutjmE4fBBGZBlklihnMxGiTbzWaelyD3U9uWPgJoR+RlQztijPDAgbrkA4wTkRH7lv4drSs/U3jnQzDL4bmHkAiYYY1Mheea+a7wvBPpKcUXs1xQSMiOC2GecXEjmQKp54UDAacJBd0Ux5csLxOEr1/iSVQUgUQE8JQkUwaT0T3//PM2+7WbuqN/mxLJqtHemurc9B6J52e6TXbwp/dUWQ9TZrydPn36GcG36dRN4gDPWOenhZB6p3N+JscGhYTmSOOP0wESD6pEH4HTJBRsU9y02LTcuMOSRFJFEWgKASakw+MM7YhnpqqqLhMIpjpmT50pTgwlOfSoOyia0Av76q5BaiKmCM/GUYG0QDFtiDkybmyqv9n+HggSEsCOSkesqzaJBlWijQAaL44JSJA1ob7iCUc6fQS7f01N3UCw3aH/KQJNIMA4EV5neNUxjuien5HixPBucWDIpTcdjgpLZYwIYVhj7NixTbSu4Z8hTTSimDALdl4lECQU6+HfWDJWkGySqryioJX7ioDTgrhoUJ0S8G2aLloQUl1dbUnIbuh/ikCaCKBVbN261Tz99NOGSTwRgp2JNcLtP1d+dK+ItxwT+SEjRoyw2R/sRgb/MatrTKa5lXwtg0RCJDO1I2yqDeXrdgejXkdCTC52JKBTN+ByS3oUBPOEs+8HA8FotIJgS1LlUIohdyQmXRxbSLdDrBEWucni9v82GS/KRcAr7gQkAXaOPpMmTcrYUYEPr5i0ExKtn+HV/ZKjZV3kXY4qy6YaMcntlc7OkzouItX4+vXWazubKvXcgCLgSGhfQINUeTmcF4sJwtuJr9hiEYgBUymB4xTyizHgDVGw5HeK288+hH2OSLzr/O72M07BeQ0J3llHjx41hw4dMoyrUNiOjU80dFro9u/atcs8++yzZvLkydZ0huccMUb/FAcD5+mWaafwNn26vFJSS5WZErkn559/vnWWSNej0yVzjbWDWfDsmH2m7WrsvMCQUKyRTDd7EckD+UNIF7jGOqq/BQcB50ZKup4gCmlZ2scmqMt27pYg9Y+/KXKiMXhNweztCMctHakUot20gULwpRPGVQgOxjxEico7gX6Qd5CxG0xnhACQEw5NZmvMpOYwSHd54LhkVBBHhSt6trf3GI+5OZIgOoFYGq2W5yMmh+Xj4aDbyMcyaCT0qHTyR9LpZn369DGbNjHxn0qUEOBL2GVK4I8laIJ9fkKnOqcJtCCXMyxo7WysPWgchDowvgrhk6SSbbSZTIQpdchVhjvwSVliQa2V4MaTsp+EnkitmFYR/ue4xHW2T8h+FxHGeV5LLN5i7Vs2M11LW5jukv6mLPYRQJvJbE1B0JJwk9+2bZshRifMgoZHjBF9wnRWKlrjVWKae7mi2rx2uDarruGosPhAjZnSpY3NCE4MEXFMqYoni/jaVM/J9LhAkZD88eyQG7NYOjMFk5ySUKa3Nbjn8UJ0gmtp0KS/mEZcYCqZ3cMimDiZGgPPKNYxiTUmdeNxp0yVMEmNEEpNbMn+apm/pkaWrB+T32Kc0lh1Of+NMZIeQkb92rY0AyTOpouQEwKpUsi+jrmOmBaKZwwj523Jd4UQKmZHTGd8oJGPrqxlC0tGdXSeWQuWHTpmOgtuaPaDBg2y10jlmcYM6wmVeSKzq6d+VuNPaur15PJITHJTevTooSa5XKIakD5nc1sAAEAASURBVLocCfHHdei4+y4OSOOkGWM61CXRxU0V232QhZcxLxe0BMxYiWIxFqJH46QcFLwZc8AZBK0kyMLYxvaaE7YsMDXWPAoZDRSXeYI/ZUYNS7YQ7jnnnGPznm3evNkmGw2jEwmESqArWbG5r2TnRhvEPIf2manM2VdtUwfhDo7pD4cIcGpMMA/GxvH4SnygsWNz8ZvcymCJaEIECm2V0gJVlfgMleggQKLF4cOH2xfhQ9t8nbakSRD5o3/vgI7WZZaEjql8NTZZaY4PwNQG6dhxBHlZeQUT1y6ZoXZXzUlTLvn4iMFypjHvcWFfR0sifuss+cLv27rEepm5Pp04ccKa6njR8mIPm6DBkhUbrRbhPj4lUzeglWYqbWTuoevFUYHsH5gAyRHX0CzAjBleccUVjoR+L8/b+zO9bqrnBY6EaLgA9ZQsrkJFxbdeJToIMJMqf2DEMzwpf1xBkokyFoQNnQFcot1dyv6gtBETCV+z3tRWkMzGquNmk4wBQD7ZfDUHpZ/ptKO1qETDhIxGlrUy3WImO3c+Y3obNmyw5rp0BuXd+YVa8qExceJEM2TIENsEzNZP7K40ld5BtDQbxwcWRMSkeGAxb968M8Y70X4uvvhiN6ssKRhGSFvynqeqztCaZofyffhdd92FO+CN2CYZGHaRxvm+rtaffwR4ieKcsFlIaIe8NIMkF3Vra/hqxAurKZOFn+3m63TKlCmGmWid2W2/mNderqgxmFsgIGJDgmfczD9KOEfsFY2PmU7xKgODjuJpRuZzxleIORw6dKh95vioJVYnDOKm7WZYgmdyaLtSs736pIzRZaYR8bGyTf7ezpJ6SqQ+xtxxiPA6d2ClYH9M/ksI6Hm3kc9lUDUhDPMwcFecE5YuXZpPDLRunxDA1HD99dfbq80WF9LXj+Yt9CDtHuGV9e5+dU4TixYtsiadtCvJ8QngdfbZZ1vzpYu1gWwWidcT2k8u5I6hddnMf7axLvtzLur0o47G2s38PsPal8j4nrh7xwKOaRMaAE4AmFkhpDAIBDphwgSbCw6THNaDvVlMfYKzxzW925tSMWlimmPIg9RCZ511lr1ODBOy17xLSCgzxksT2CA6JgB4rQD0sPTlk9i/X331VY1YT/PGBvHwsrKyeLMYJA+SuFT7vKiC4JDAc8+XqXNnx0V6meQGW3H4mLhFBwm5YLXFS0585DAZIc4maBIQ+aBBg+y8O4yJQEZoA0EW0vwQK0Vga2vRYK4VAnmmvMo6bGTSbgjsH7uP2qzebaU+nrHBgwcbz9/mKqn3dr8IiD4EkoRi4N4vy09iukFFLKao9Vj/I7dwnnF0LGju2XhcISRuLKTJhvEevny9AZsbKo+bBaL9ZDMmYDsXof9S1dz2iKMGZUGLGjOuUyszSsaOiEmC5Cl8cEBGFRUVgUUHF3SIiKBTsiCQ5odgVJ6LTIQg8Ud3HV0ms8C2ECePcZ6/y21S35VCQL56DAUpd1w9PAWIZbJjBTthapXwI+Aedl6mQfLakneS/WIGYU/iRl8B52Nr/Pjx5rLLLosTEG7Vj8lX63PipqsElN3tqJLYJ8bQfr/9sM02jQs4QlD8JZdcYi666CLTrVu37C6Sx7MZGyfrgcs5d2mPdmasuHFnIK/JS//q9w3odK4Q0Lly/rukYH77rZRL5b2bd0cEuU49CbImREN/LeUnfBXiOx901bkesrpxBgKOhIKmBREISdwJUogvYpJaPvfcc/aLHDv9KAnEnHnT+82Q694rGQhiDatrnnHmph+t3mUe/fadZumTfzdHK/YZpxlsXLLQzP3D/eaNBXPNkf37TLtOnc3wqTPMNf/5JdNj8NBYLdktNi9fYl747b2Gax2t2G9ai+PEkImTzcUf+Ig5+4KZ8cpTbcs3r7nI7Fiz0nz4p/ebCVddGz/frdDH33zqdtN/1Dnmi4/PsbsdDq7f7HT7EtfZHjRuotmyYpl5390/McdufK95Vcyao8VMN65jaxn4b2Yee+wx8+EPf9hqoeIYFTjPSPqAy/ns2bPNhRdeaNPxzLBBrc3NAiHXFCy0W996q9lX9w3t9Pu7mjWztnAhHOKAiMukFEwCqwnFELlfltbZn9gSlXAj4OzOQQtS7VZa9y0GAfj5ocNX+COPPGLuvvtu63xDgCyR/0skvcp3P/spc//n7mjwht//2Y+aOQ/+yhKQ96Dvv+dtZvHf/2wOle82b546aX9f+uSj5jvvvMxUbN/qPTSj9ed//X/me+++UsjvUXuNUydPmKpDB83KF54xP/ngO+vVmWpbpt/4Pnve/D//rt75bmPBX35vV6e/u+44tz+dJQSJzHnwl3aJJr5cMgr8XmLV5kmanB/+6Md2/+c//3kbJzNw4EC7HbT/cKh44YUXzOHDdRYzSJQccXgDJpVmRuyMb3325JudR/z7WZ0fdASU9NgC7Qw0CQlTE0jyC7DBfusGaQuElV42CwTkXsbniTpyMljpelyeMpJK+jEeRF6umTNnWk8tSIhQhK9/9/vmN8vXm28tWGtu+OLXTYuWJWbRo3+ymk4y2N9YOM98+P8eMD94bVtcC+K40Rddaj7x20fM91/dYtCWvvCPF8yIaRea6sOHzNM/vydZVSnvW79ovnn07q+at8R5Y8r17zFffGy2uWfldvP95ZvNHb/+Yz0tKJ22TH7HjaZlaSuzdt5sc2jPrnrtYXvtvDn29/OuxXLUsHi1Ita9ZeLV15kO3bpbjWvDKwvilRBX9Zd/PmtWr1ppevTuY2545zvt/cARwHmlxQ8OyAohK2hEe/futS0icPcdfdpbV25PE5mL4Vu1zZqddcfQrj/41LBm2SWj81Sc69VAk1Cssz+R5XE8W4YNG5br/mt9PiFAfIvL0HxE3IyDJJhjkHwHp2JSZnCZMQjGH+677z573fd86nOm6w23mdoOXU3HHj3NpR/6d3P5Rz9tf3v5zw/aZeJ/133+LjPhymtM63bt6/307/f92Yy6cJZpU9bBlAjmA8aMN7fdU/f1//r8F+sdm+7Gv+6717r1nv+e95tbv3ev6T96nGnVtp1p06GjGTPzcvPJ++tbdVJtS9uOncz4y6+25Lbgrw/Xa9bLf3nI7h9/xdsNx2UqLUtKzYybb7Onz37AftfGq3rhtz+361Nvud08trfGVMhYHILbMvncmsrDZw/2+T8yQ5CFG6cFBNdrsnBLrjj542r2yJvNmo0S8+SX/nNw52C7/0nbgz4mhLv2LjGT/FHa+gEiiNesWePL1yo3ViV3CHhSw5ujWUR+565Fp2typox8aUFksybeB/ObE5KELo7Fv511dX0zFsdMfedN5p//9z2zffVKd0q95eiLL6237TbWvfyieeH+X5itry0zlZIxAJOck8Pl8dky3a60lpuWkVvYmEtu+3hK56XTlmliklvyxN/MgkceNlfe8Vn+7utSzPzlD/ZazmSX0oUbOOiCW24zz9x7j1nx7FNW4+rUq4/Zt3WTWTXnOVMi2uiMm2+1qY7Ec8ww8D9IktmSpYIsHy+99FLgwkQIJyCmDU2aoFY0+lk92t7Zo1XJNxqAIJC7w6AJAdwP+A8PIvWUA4nwiZeEgjabKjE4SK6/eHGoYRB51qxZcQLCK2uxTMP88LYjpvLIEXvdjj1626X3v0496wir+khyb9mO3Xt6D7frDOD/+AM3mJX/etoc2be3HgFxwMnj2VlkMOkhXfs1PV6SbltGnn+R6dK3v9m/fYtZv2ievc4bC+fa7a79BpgR0y+0+7L5Dy0TxweI+cXf/8ZWNfv+X1pNa/J17zbtO3e1+0ju+rQEha6MTaeA1jp16lRLjNlcPx/nMo7pGab4U9gICExCQULyVYSr9vM0GJOcix5nWyUcCDgSYoqAoGVwRitBaCNf4NkIJsdBgwZZ4iEPF1MrIPR7ocT6MBC+VIJOIT5MZsjhvbvt0vvfodg+d4z3N9abiXk6UZ768bet9sAX/13Pv2J+tGa3HRf54arceN06c1jFjq2Jlz5jO922gPu0d95i63n5kYfsckFsOfWdN2d9X1wDL761zkFh/h8ftN6DC2Pmv5m3ftQdYpd8luCwQDogBC2WMaKgCR/mzuFH2vZM0NqXSnvOfJJTOaswx3yfy/Ki4I9cJVwIOBI6GjCnBFDcHcthxx+0ZzKvtAB2QabXXHONOe+88+yEclRQJabH+fIyg3zwxvLGR/UTl2MEb7ZEWfS3P9ldA8bUHZP4e7Ltfdu22N3Xff5O646NiQl5ff4cu8z2P9ywEdyzm5JM2jLtXbdYcl3+9GPmwM7tZvkzj9ttR05NXZPfm7doaQ87IVMWJJMhE84zA8dOMJUHK8zPP3KzOVZVaR03+owYlexw89L+asMEcQgpdILmNedNZitNXGYbGrL/QkNC8qVEOu2F4It9XbWhcD1pp0moTusIUutJl++0IdKYpGqWI7EooQM4Glx++eV2IBsiQ0iPQnLRhyQ4klkyk2W3ni7xKsjTP7vHzL7/59aEhhntBXEAePbnP7S/TX/3++0ylf8692YWFGOe++WPrdt0jZjylj31D/Pwl/8jldObPGbW7R+3Gsn8P/3OPPC5j5vta14ztdVVhuusmv1sPRftTNqCOW7EtAvMCfFS/NUnPmiXI8UMx/5UBZMbslg8C4+LF1kyufjWD9vdxA0hMz9YXwuyO2P/oRGRneBgzFmBGUpdvJv3uEKtewJsyXq9plDtyOa62dkesrlyBueK/fNSOe05Tl2+fLlN055BNXpKARC4+uqrrYs22gBmqaAJs0/OksFohFiM9evX24nSiN3BVISZDSLlBYS2xHiPxwxiz8PMuF5Sqaw5WmsHuO3OJv4jCJPxk2SCS7LzbHO/u4BMrzuy++25X/1EXKjvdJvx5ZTrbxJ3b3x7TD13brYbq4/fE+X5X/3UBskyFpFMXLsyaQv14Zxw36c/FK/63378G3Pu1dfHt91KQ+3+89e+EI8FcseydO1inbGxL884x8ZQdR8w2Nz1r1eSmjc51klnycyN9xkpf4jRYQK6IEyex5QPaGgiS+U5neTaG6Zlne4akhYLyM/Lw/+iNPcitKEtW7aop1wI7h1aqxs8DZpTgoPvDSEPMidMkDmFIBf+uFMR4R2zW3KTkcdrvWS2Tne86/Yf/tqcdd50wzjIno3r7CV7nzXSEJh5wc0fTKUJ8WNm3X6H5FdoZub98QFzYNcO06lnb+tld+Udn4mTUPzgDFcu/fAnzOAJk+IZEyolir+tuGgPOXeyuej9dRoGVWfaFly1yfJAACzLcZe9La2WYopsLlNjr3hOPOB27zIE0yYKMUlkjyDTBFpRsvG1xHPI8jFXzKqXdG9n53NCYybTRaEFV+2YdHErYVuGShMCXCGhabKYL6XZ2rVrzapVq9itEmAE0CDe9ra6lwmTczFtc1BloLjlEoXep01LeZ0nF6ZT2HWsbhI55rBxeciSH617g4YAwa8/ufUGU9q2rblbgoNbty9LuYm4bjOJHvKKZLbgQ7iQMmDAADvXlLQB1bS7fKhLhoRwSag0IaAVkBcIETGS+x7s8cw3RKoTleAi4MaDaGHQYoQSUYNUKASwYoJpL7EX4tgmf+Fv2bYfEgJKV9tJvIZuFw4BNM4/fvVztgGTr70xLQLipBfFUYG5p9CaGR9CE9m5c2fBOkSuQ0yj8l7km+l2Kd8tWGMyvHBDH3sZVufPaQL6ILnSWimtmRdkwYIF/lxYr5IRAp6vNfPrLYf0JZ4RinpStgi4cSTqwXPwq88sNF37D0y72o4lTJXdwX6oQACrV6+2E8MVaoyIrA6xQOgd0pmRwkc4KYRGQuMd50VUQN4i2z9gH3MNEdWsElwE3JTUxMaoFhHc+1QMLcOFu+/I0eZjv3g4IwICI8yx/5CsCrjfo4CMGTPGXHXVVeacc86xTit+e+4yM2pM+snyq24jLMtQakKAK18gbWRBTpOheDA9++yz6qQAMAGUsWPHmpEjRxpyxuGyrBIdBMRqKeliWlitQOanMa1kB9Nre4UPD8bNmJ76mAQGV8nyVAPedd7zgr6OqXZ61zZ21lZvW9GI8KCjkJWdifPyPWQwZcoUg8VBhAHXGUKOi71tCvJ6/aclyC1N0jYhoitkN/FDZt26dXa+9CSH6a4CI0Dw5qBBg+wMl+TlUgkfAq2FXLrFxkIYD2G8rEzMUu1kiuhMhLiso/JRgrckHycHxPuMWJxDsmQMLkzSW6YQHyVzE5FrrpQZEhOEHG/kvMSRqjEh/xvu/zg7kCk7HcHacMUVV5jSUus0sUnOnShEFIovvjMRS6fnAThWiOhhacbN2Gaff/55X+eDCUD3Q9EEEkD26tXLbJLI82fKK0PR5mJvZAchGF6urnQS0vFDcHlnqg+moN4nZe/xk3bdm2nCj3Zkcg20QrJZ9xLcIOoughlLx0uNedO5PIOY8tCemOQwXWFciPGhmPxJSOgmtxHkZei845KA+Z+yj3nRO+OtwoRPEJJKcBBwY0IuK0FwWqYtcQgw2N6/jWSNhnjEPb0hDYev+iOSeJVSWVlpzUyYw5mL6fhxiZMSb7HEAXoyUPCF7kpbcY3GY9IV4rLIBI3wwobwKGd5ZqlAQ9ol8VikWGIZxOnO0eCIGaM4wcvy6l5lpnurFnbsaOvWrUnfT4wrubEkpvxgnHv37t2umpSWmP02bNhgM3fICe+R9+Dz8l78dUonF/Cg0JOQgFwuYH9BMPwFKfOZA4Rod5XgIOBIqCaWKDQ4LSvelmAC4YsdE9IgmRStIU2H7BH79++32SOYXprtdD/ymCKD0ti4CARFHjQyUrDs3LmzXbo5qBwxjSqrIyvMeHWEJPFa8tIP2hxV7skice2CA9Xm2t5lNmAbk1t5ebn72S4hZU/6HbuPxLfpkhAnrlixwtYFkYncI/dqtrwjN7IRVAk9CcWAhe1JsjWDQfA9e/bYP5aggl5M7ZI/gPhXbnXYjP0Ru1GknBkg2g4BuRTGebwCuUA0xJ7s27fPkk++J/pz10eL4poUJzw7jpBcqiTy9SEdxCmgQ1mpGSEFwVMNMtohmtI2ifMKkta9S9pEe9rK+BnevIkkhCnOCX3oIx8HmSbSdXMMXXrppaSaAqz75L5eLFgG1jwUCRISgN8UoG8TwF8V4NsxNa+a5dxjXdglZhZeJki1vChU/EUAT7WBbVvaKH+I5wzPNTGf8dFGwCVLTxoYfxua5GqQIuMjlM2bN9sjSP+E1sCLm+KSibYTUiKTgctmwHiSCzzeJ8lkC/kG5tpk4h4tzgt9+/a16X7omxNHQpgcN0nqJ0gITQYtMNG06c5pbImpdOXKlWb8+PEcdqGU66Q8ykYQJRIkBLDyotsgN5ZQ6HvdTJZ4pKgUFgGXVZpWhGFwubBo5ebqUH4/0XjOkpfyEDG1JXpsMYbD+AEFUxtfz2ERvMaY0tpNa81HjpeUYmYoOwbDOMykzq1lLqc3Y4R00qaMKkSsGuQCCdFetBxwd+K0HrSg8mOn7G7GhzBJeo9zx6eyZGyImahjJH2nnKMklApwOTjmF1LHO6RcSYJTbKqYF1QKh4Cz6dMCN4Np4VoT7Svz0h3RvpWQT4nE7dR3ncaJwL28iV+JimAuRItzqXPQlBjUpzD+glMEWIyUsSQK3nfk/dtQecJqHX7l/YNg+Ajjg4C2ecnFpbXCRX2/eAMy7QdTzkOu3uPSuWdoWriEEz8kMk62B8qH+tZ06vDr2MhoQgAmIAvWb/2brK6UL4kumOVw285EpfXrBkT9Ot65edQal/u7TYDocBkX4QVLHI9X8FiDeLZt22YOHDjg/Smy62hK5JOk8AGEqcuREi97vO/QEikXdmtrNSMyoG+WcaR8akiQH4l7h7Yrte3BXIbgkOE+1PD44zhMiXgpYtHJRhLGni6Suh7Mpr58nRspEgIkIaJdQkR3yOofUUVxVHj11VfzhZ/W2wQC7g+Mw1QTagKsFH/G3NZXXqJnC/kMFnObd5yHMR3yKUI8DPLL30KKtUbvMD4+GeeiMP8Y7wMICecAXvAQknPSQPvAoQENibEktnMt1AsJ4WyBRxzegs5zlGtVnay7ZrloTZCQM9Nl2g60RErM/T2wuc0iR0LcMCGiP8kfH4NxNw0bNszs3bvX2r8zvZl6XuYI1NOE8vCHnXnLwncm3lUQz9kytlAmA/FegXAYvIeAVPP3InN63cU3kV0FL7v+/fvbAilg/hoiBEFBI9ogYzirj6Q+OeHpqzS8BslBM/YjQhwUCCWpN2Ya+/tgpl8EgqKdmFIzFVzjYyRUN2NjphXl8bxIklAMr4/LEoPoYNLGEIHcWJxCHjEu6qq9mpCa4zJ7FPpK8CiD2oPblsaj76kJ09MWSfFCyeZFlVmrwn0WeDFmQkFDgpDIvcZLH1f2s8W8ScE0BhlhsstWkydmiNgm5qpCG4OEnMs5aDrvUYJdHVkxrpXNvfWQXGDnu4ksCYk2dEi0IdJWzBW7a+nUqVPN7Nmzi9o8UYjXhtOE+KPKh4mjEH3y45qM9TDOM6pDab1AUsxrONww5oGZqZjNbbm6D2hITMdAwSNt4MCBtjBeg7PHxd3b2kSlzL67RgipQhwIMhU0LEgIpwPIz5ncCLZ1ThKQFWmLuDZBq9zrTAQCog8x2exWgraMLAkBtBDRYvkj/aKsfp+bTWoMNyAYtBuh7VEEQKCnjAWMFvLBw8071oPWg7mNFxLrKvlBAG9aCu8JtCPcnHl34NU2RrRRCgGxyw/V2GW6rVgvRDatSxurbTH1g4sRYrzIKzvEiQESQhPCXTsTN/oEx4b4fA/e6wRhPdIkFAP4HlleLOWaESNG2MFaviBV/EHAfaljB1dJjgDmn+ES04PJjVk7nYAd45kbN260Y5oOS/e7LvOHAONqztRJ7BFkhIaEZt8Pc1qbMsPYzeID6ZERbtqrRJua0Km1dZKgB7LLvHr4WL3OQEocgyaTaQofzosJQUkr3EbQlpEnIdGG5G/XZlNYLuv9cdtmfEi/Jv15FL0vTogIs5xKHQLEr0zoJCY30XwgIid4NPECROvJZjzA1afL7BAgY8OyZcvsVDGDBw82w4cPt95tPSVj9jWSEw7CmF9RbSe7S+VKrxw8Jt6NLW3GbUzUL8mU4YkJWffIuBD7mLMIjSzdPHLyrrPjTrH2kMg0sBHJkSchboLcgAp5Gd4sq3PEU6TltGnTzJw5czJScWM3VRcpIlCPhOQ9G3MASvHsaB4G4ZwnkfxoPnhlOSEwEa0HD7dMzC+uHl3mBwE8zXAm4B6hFY0aNcqSEW7efdp0MPP315i1R2ubvDgT+jGvVvfSlnY+pWSJfflYw3SHNkSqH8Z30kmphCu6C4KVqh5oslEFPKAoSAh8hYjmywuR8aHvYuOdMGGCWbp0aQGhL45L1yMh65xa3LoQmatndW9nmK8HgWxI788UzQyQqwQfAe4Z43PEYhECAhmVSGAsDgzkhMXc1pRggnOu2A0diyMEJIQJkOukmoYMLYg2xYSxoGfcRhCX9YMNgtjC3Lbp+1Ldn6gSGy9FxT8Eiu1hS0R2orxQrutTFicgTG5PP/20WbJkiRJQIlgh2Gbc6PXXX7fmfZcK6fyubeP3N9suHBAvPCaCRCAhj7t1o1XzXsPLLyZfF1IK9JdfUb0XYjeDtD6vcYPQhpyLZOyG6SLHCNTThE5bnnJ8lWBXR7cvkBQxU8QrinXS6cybN88w0ybJRFXCjQBzLL300ks2SJihPTfnUS56teRgnSckDgqjR49usko84saNG+eOmysrD7mNoC6LioS4CUJE/NXfIOUgro+MD3lTZ3CMSu4QqEdCuas2NDVBOpf2aGdde2k0OdyeffbZtAeaQ9PhIm0oHxaM5SGkUsqVEJOEWQ5hwk7GhxoSCIjpvWMB4mRu/nDQtSD6UnQkRKflxjDT4C1S3iTrLkQEIankHoF6JMQbuchkhmhATKmAEBrw4osv2nxeRQZDUXTXTcjXUaYm93o7Ztv5eTHvOXlv2azYOEV4BdIZOXKkmTlzpvugxoZ3oxy/zntcUNeL9s0rN+hpuSlf4cYQvTxx4sSg3qNQt6seCVljVKi7k1bjx3VsHdeAcLGdP3++neY6rUr04NAg4Nzp+dZq43G5z7YDZFJ4ck+lzagA4RBmwsypuG4PFpfxq666yiZqjn1IExN0tbzf/pXtdf06v2hJKAbwt2T5F9a5mfj/q+QWAS8JFdPD1l+yXE/r2saCSQT+woUL1e06t49W4Grz5knMdVAOTgp/23k0Hk+E4wGpyCZNmmSw5sTkKVmeKwT0nNsRhmUxvRfOuB9ys/AauVWK9dUmjQb+9Sq5Q8BLQp6QmNxdIIA1tRE/3Ut6tLV6H0HROCEQY6ISbQScRxpZuKtlNtdcC179ZFJPIiQnfZe8z9CAtiX5PdC7kvYo0C3OcePkpnEDr5WyU9bt1wWp3VVyg0A9EspNlYGv5RKJA+JlQd8XLVpkveEC32htYNYIkBkb2SPpfIgDakiw1HWWcSNvbsCGjvXux/27AStfWzmO6Wv+KmWk95wwrBc9CXGThHx2yeIdUqoJDJsxY4Yb4ONnlSwQqEdCReCYMFLm+xkgEfQI0wS4weosINRTQ4AAXmvkmENeP1rnzZas2SQlvblfR3NT/w7m1oEdbfqeZMcl7sPjjonukA0bNpgVK1bYtE6kFIoJSQfx+l0pf3PflxKaRAShaahDOl9LIaKlcuM+IPX/WWY9bD59+nTryaQThGWHeD0Syq6qwJ/N9AtTu/BRKv7/Mg6UaoR74DumDWwUAWJ4nGPToROnzMaYS3XiSXjMXdGzfXxCQp6Xy3q0N3/Yfjg+jUPiOW57bIfWdpWYJGaK9v5dMUvroEGD7Ji2BLTyTv+MlCFyDCa6zOedcBfP81I1IQ/AcsP+KpvWY44gVrxQZJ/nCF1NFwHvH0uziHvHTZVgVMaD6DMJL719Txc3PT4cCHhjDbHAzdlX3WCSXoJY3Yy4TBXB88Hz4lz4G+oxSUyZgwghb13ic8VknXzwPPXUU2bnzp2uGmaW/qLbCPJSSSjh7gjpfFN2PchubLw4K6hkjoD3DybKdN5FpmBg2m2E7NcEpapEGwEIaMqUKXbOH3q6/NAxw6yoDcnYjnXPB/FipPtxzwgZtRuToTLlOH875KwjX11Dcvz4cbNgwQIbjxY75gvy99etoeODsl9JKPmd+JDsfp6fcNsmb5NK9ghEWamc3LkuJQ+ZjletWpU9WFpDoBEgjxtjx84ZgawGi2RuoYaEaR+cFoQ2g7h8cx1anp5DKtn5biwI0mKaj8aEj77ly5e7Q9rJyvVuI6hLJaEkd0a0ISKO3ynFTgRFLib3sCU5XHc1gkAxaEK8YFyqFrJh80WqEl0EmCKB7ARu0riNMmX37H2N5wB0zwcfKW5STTddR1MfZ46EmOojFSFo1uOwcF4q5xTyGCWhBtAXIjoiP71NyjbGhRgfIrOCSnoIFAMJTZK5gRC+UiEhlegi0KdPH3PZZZcZF8axQmZEfa68qlGXbNBwJrfy8vJ40LJLFcb8Qg1JaxkzoiA4u6QqnsS4fVI9p1DHKQk1gryQD67bENFBoqFJDlhWVtbIGfpTYwg09cXX2LlB/Y3puJ1L9rp16zQoNag3Kst28SE6duxY+w7AFHdKeONFyen2ckVNg44I7pJ4wXUXbRnxuuy7DAvU1ZB4TXUuLVBDx3r3u7plX8M2Qu8JBVxXEmoCfHn4Vssh2FVrccW88MIL7WyKTZymP8cQ8GpCUQSF/HAIZhYcElSihwBZ9i+66CKbJJTeHZVptx/ddcSsSWHyOo7HnOaccvbu3csuKy6LRmkjX2du8kNO8Gg3dRU08r9nVtXyRg4LxE9KQincBiGiF+UwYojexCf/ggsuMDJNeApn6iFeEmoe/1OMBi7tJCvCsFiGbAgonemXo4FA9HuBCR7zW/fu3W1nt1afMI/sOGL21aYeftNX8ggiTPfgnT0X12qko+TjEWUpqThnBsYZU32+CLhv3769q8+Oa7uNIC6VhFK8K0JEf5ZDP8HhHTp0sJ4x3GyVxhHwklDEOEhcskvty4M+rl+/vnEg9NfQIcD8PWhAaEJYzBaL99tTsWzW6XSmV+s67zevKY7znaMBQazdS898lxAf5MaSUiUg6mW8CvNhTF51K0FdntnzoLY0AO2SG3uvvHDwTvhfN4HU3Llz4wONAWhioJsQ/7MIdCtTaxx9OVuCD5Fdu3YZEpWqRAMBxlPOPfdc4+btOSaDNs/trTI7anCaTU/QcBg3RBIdC3C5JiML1+snsULlknMO6SXmu3Mkpmhw27qPHPY5TzrWmxKntclxPJSvNXV8oX9XEkrzDggRfT1GRJ/q0aOHDVYjTX+9L/4064zy4V5cokRCAyU/HF+qiIv7iPJ9LJa+MZZCyi6XBw6z29PllfEpFNLFgSBml6g0kYQgFsaIyNw/XHIOHpGxJsinR8yJgWtxzPbt29PyunSu43L6fHlfNR5YlG6H8nC8klBmoP6HnNZFyvuIH+KracmSJZnVFPGzokpCI2NaEB5L3sHmiN/OSHePVF0EoOKAhJCI9CXxgGvMhbopQLxmtkQS4tzNmzdbEuokWbWZBt4J7v583FAYS0pVGKv2hJKEYl4hJaFU767nOPm6kHfrW7fLrs5SrmZCPNRqT6Sy5+jiXq1HQhFRhXC5RRNCtmzZolpwBB7xXr16mWnTphnGeZmGYV5FtVmdovdbQ91HU+7ftu4Vy8dKsnEdZtzlN+dIQJAp44uk50nHBOfawGyrsfgjJjT6k9sf5KWSUIZ3R4johLxgb5TTmc3wYgYxcbkkMaFKcgSiksCUhJPOm6mxXF7JUdC9QUMA05sjoOPCQJjfdtY0nAMusf0kIcXsZotoNCw7S+FjxUkyLYjfIJrVq1fbqbohn2y1ajeOJVW/JO+ore76QV4qCWVxd+Qm1wgRXSNVPCtl2siRI61GpCn8T4NaTxM6vTvUa84tu6KiIq3YjVB3OqKNl7/hegT02O6jSd2vmaSQmB1cpjtIKZN1AkkhHEioMeHjtDFy4UMmFx8zeMXhMBWT37mVoC+VhLK8Q/IQV8qL9iqp5l9Szh09erQlIqLnVUw9U9Vpr9HwItNGXkZ4LyG5eHGEF4lotJxwC2cKqxTHADweR3UwVotpJVmy27VsZknHORc01mu0GuKAKCQndct0gkwbq7+p30aNGuUOOSwrf3EbQV8qCeXgDgkRHRYiukKqmi1lLNM/MEbEDIjFLl5NKApYDJKxIPfdi2u2SrgRIGCUgX9igZxJrakeETgKsVAc0bBkwrlCPe+YFJndNSY/lHcSuS9DIUpCObpNctMr5AG8TKp7UcqICRMm2JqViE4D7F7ep/eEb805JDCA7CLew9cLbbFDAGeBl156yU7XQjYUPOMgEvZTiP9yhMP9Zj2Zg4GrrxBLHBHw0JV3EJdnIqsfFqIdmV5TSShT5JKcJw9BuTzAl8pPaERnQUQ8GMUcTe/9MvSM0yZBL/i7Wsq9dN5OqgUF/36l2kJMZ2EOsSCzt2cs6L/knXMo1b4H4ThN25PjuyAPwA6p8mIpNqf/+PHj7cR4Ob5MaKrzklBoGt1AQ0mhAhEhSkINgKS7fUfAQ0Bb5P1zn+8NyPKCSkJZApjsdHkQdsr+mVJe53cmxcNzrhhFsIhMtwe1q4sNwkTTkMttZDqrHQkNAi64VhocykFKJaE8PWry8uWBgIjWcAnmIjn77LNZLSrxklAjc3cFHhOoFKcERLUgC4P+FxAEcIKKSSgnO1MScrcvD0t5Ae+RaiGiVVQ/ZswY43GjZFdRCZmIwyrdWrUwxIogSkJhvYvRbLdnsrvhYv4O3Ti/klCen0shImaxukSKndeDOCJKsUg9TSjEne7Tuk4LIhYkMSV/iLulTY8AAnhqxoS07ue4jbAslYR8uFPyIt4nl0EjeoXLoQ0RS1RsEmZznJvXxaXfL7Z7p/0NLgIJz+Tbg9vS5C1TEkqOS873ChEdlEqvlLKUykeMGFEUROTVhOh3GIXxIKZoRhpLv2IP0P8UAZ8RYEyovDw+izdpxEIlSkI+3i55IRNIRhzRYi4LEeHCHYUXNf1pSsI6JsR4UGlzqMioKa6pm6y/FwQBzzjlJBkXiufvKUhj0ryoklCagGV7uBAOBtzLpSygrmHDhpnJkye79OvsipR4CfYtO0ly+LrXt83p8SCSlqooAkFDgInvPJkcPh609jXWHiWhxtDJ02/yYibBILnmSHpqBgwYYM4//3w7lwnbURIvCYW1X31ipjgIyOMOG9buaLsjiACZuj0Jdd8v2lD7sHRTSahAd0pezkfl0ldLeYQmMKnWhRdeGJ/VkX1RkzA6JnjHg9QrLmpPZLT6s2nTJtehjrJys9sI+lJJqIB3SIiI+d9vknIvzWB64ZkzZ5o2bdqwGQnxakJhHBMis7KOB0XiUYx8J3DV9piLPxqWDisJFfhOyUv6TSl3SDO+RlOY3+SSSy4xZWWhDH4+A83YVMN2P9Mmh016tKrziiMHnqbqCdvdK772erShc+WZHRMGBJSEAnKXhIjukqZARm+SUh4iQjMKu9QjoRA6JvRs3cLeAuaK8Qz8hv22aPsjisCOHTu845Y3hKGbSkIBuktCRJjlMM/VkpSQMaKePXsGqIXpN0X6FD8pzJoQAYEqikDQEcBBIWwxQ0pCAXuq5KWNowIOC0dbtmxpZsyYYQYPHhywVqbeHK8mdCpk5rgSiQ1iTAhREkr9nuuRhUXAQ0LjxSTXtrCtafrqSkJNY+T7EUJEuG5fImUvL/FJkyaFNqjVS0Jvhswc110IyOlxSkK+/xnoBTNEwOOcwIDmxAyr8e00JSHfoE7vQkJES+SMqVJsBm6CWtGKSkrqAifTq61wR9cjoZBpQj1i8UHEBjH7pooiEAYEeFY98WxTgt5mJaEA3yEhos3SvOlSnqCZxBLhsNC+fWji0OplgjgVskChLiV1pjj+qMmeraIIhAEBnlVPZm0loTDctCC3UYiIoNZ3SPku7cSFe9asWaZHjx5sBl7CrAl1Lq37Rjty5EjgcdYGKgJeBDzm4wne/UFcV00oiHcloU1CRMQSfV52f1CK9Zy74IILzFlnnZVwZPA2Q01CMU1ISSh4z5W2qHEEqqqq3AF93UpQl0pCQb0zSdolRPSA7J4pZQ8v9wkTJpjp06cHOtWPl4ROhcgxoX3L5gbvOIQYIRVFIEwI1NTUuOa2EQ+5Lm4jiEsloSDelUbaJERE9m0cFnBcMH379jWXXXaZHS9iO2jiJaEwxQl1jmlB4KmaUNCeKm1PUwh4SIhDA60NKQk1dTcD+LsQ0VZp1vlS7pHyFhkWMM9NnTrVtG7dOlAtdiQUthghNx6El5HHtBEobLUxikBDCCgJNYSM7s8ZAkJEx6V8RioksHULFffv3996zwWJiFq0qPMwOxkyzzinCVVWVhryxqkoAmFC4NixY97m9vJuBG1dNaGg3ZE02yNE9E85ZbSUb0l5s127doGaNpysD8iJMNnipL2dYpkS1BRnb5/+FzIEcNP2fDwFOrhQSShkD1ey5goRVUv5kvz2TX4fOHCgdeVOdqzf+xwJhU0TKhPHBERNcX4/MXq9PCBQ52GTh4pzUaWSUC5QDE4d35amMEeR6d27dyBa5cxxJ0IU68lfbLsWdX8a1dXVgcBRG6EIZIGAklAW4OmpaSAg2lClHD6XU7p3757Gmfk71GlCJ0I0rtJWtKCYd7ZREsrfs6E15xcBjzlOSSi/UGvtCQisZZuxoSCII6GTIRoTah/TgsAvwcsoCJBqGxSBdBFQEkoXMT0+KwS2c3ZQpgh3JBQmTYhAVSeqCTkkdBkmBDCDu/AIaTcWksDK6b+2wDZRG5YmAnYQw43FpHluzg+Pk1CIxoQcCREjdPz48ZxjohUqAvlGIOEjdGe+r5dN/UpC2aCn5zaJgCPDMHnHORJSLajJ26sHBBSBBBLaFdBm2mYpCQX57mTWNntPPYOSmdWSo7OcJhSmMaF2LetM6DoelKOHQKvxHYGEgPXdvjcgjQsqCaUBVkgO7Uo7g2JGciQUpjEhFyOkmlBInnht5hkIeDShKvGaDfSMjEpCZ9y+0O/oRA9OnDgRiI7ESShEY0IuRkg1oUA8QtqIDBDweMdaR6UMqvDtFCUh36D27UJ2trvaWhuz6ttFk10I7xxHQrUhmpm0TcxFOyH/VrIu6j5FIJAIdO7c2bVrhVsJ6lJJKKh3JvN2DeHUIJiSSktL472oDUmcUCuJUnWBqkEg8jiAuqIIpIiAmN9Mx44d3dGvupWgLpWEgnpnMm+XJSGyPxdavCR0LCRzOTgtCOxUEyr0E6TXzwSBLl26xC0Qcv7CTOrw8xwlIT/RzvO1xCOuTC5h8/UEIfGml4TCogm1aXE6uFw1oTw/sFp9XhDwpOxielUmwQy0KAkF+vak3TirBXGWakJpY2dPUBLKDDc9KzgI9OnTxzVmnpjmCj847FrTwFJJqAFgQrp7qGt38DShcLjHOXMccVZBcXN391SXikBTCDDLcteuNkqDQ//a1PFB+F1JKAh3IXdtsJrQyZMnAzGeUVJSN5cWMUIhGRIyThPCFBeUgN/cPR5aU9QRYC6xmJyU5d/cRpCXSkJBvjvpt20EpwTBFEc73JhQbVgYSNrsNCEdD+IOqoQJAUIihg6NG0OeEFPcvjC0X0koDHcp9Taew6FBmZI6TkIhcc8GO68mxLaKIhAWBNCCPJkSfhyWdisJheVONdFOMR1xL0dz2KFDh5o42p+fHQmFxT0bVNrI1ySi7tkWBv0vJAiQKHj0aPvnT4tfES1odkiabpSEwnKnmm4neridye7w4WCkinIkFBb3bCBWTajpB02PCB4Co0aN8mpB/xW8FjbcIiWhhrEJ2y/WFEejg0JCrVq1shgeOxUOzzga2yoWJ6SecfbW6X8hQKBbt25mxAg7HExr/yJa0IshaHa8iUpCcShCvzKWHjCgHpTEmy6dfE2IHBNaxcxxSkKh/3soig5AQOeff74R4qG/e6R8PGwdb/n/2zsTMCmqc++fmmEY1oEZdgUZAigq4gJu3LgDQdRctyCKJl4TN/QaRZOYeKOQJ35JTKJeNzTXJa5xj/sSVNyNayIKQlhkDdswM4DAMMN0f+//TJ/mTE/3zHR3VXVV9/99nrdP1alTZ/lVd739nnPqVNgqzPqmJKA9oaB4Qail8YS2hcQT6iA/ZLNgAo1Qyu8ZDwSAQLdu3dSIESNUZWWlMUB1Uq2pYoyqAlC9tKpAI5QWrkAnDpQRwniQecd9WDwh0xWHq0wjFOjvekFWDivS9+/fXw0cOFBrzPsBi3WiZ8n+G2EEQyMUxquWUGeZGddNooYgOiiekOmKQ522h8QTwgraRoLyPiZTH4aFRwBGB69kwAoI6Hbr27evwiw4S7BK8Z2iN4gBCsUzQVbd45s0QnEUod4YKbXX43tBMUKmKw5Ut4VkTMg2QvSEQv17CE3l4c3gt4LuNaPdu3dXZWVlCqHl7dhtWiQ7fxG9VY6HrvvNbgi2aYQSiYRzX3fFYZmZoBihsHtCNELB+SHgRowloKDwBOAhmCWhGhsbFdQIPFiz3FJEXqRoH/PqmqI+5gWOqBf2TR1Nvc0+Qvw2oHiwFGEKQ2OahHCr6Geir4g+I+nnS5g3QiOUH5dSGyEs12P/6HLZNGOEGsUwhuU5IXtMiN1xufn24GaO7ico3osDjwCvqjbji27WCsYq1XXGMfyWYDRsgRFM6BKzD7uxvUoygacD/VT0Q9F5YniwFlxeSnPCednEgmhUoCYlgLjpjgvLpATUuVNsejYWgMW/aIo/BOAJYMB9jz32UAMGDIh7OV6XjnLNA9Uel7VF8t8sihC6XhTTqVeLromFKyRcJHXaJmFBCY1QyC+3/GPDaLp+RigoXXFAajyhTKZnY35AeUmxKu9YrHp0KFJdRLGSQYncNMzcgXqxETvl3+rWnRG1VSY+1EhEdX2jjD9lbjzMmJBX3TYh/6q5Xn14FFhwc9iwYdrbSSgAXVCfiOL11EtEV4piIB43c7ysDceN9JQNM6ukk2x3NgckbO0YkmGkvwwb7RB8uRKXI6mXOFMXHGtmcMSo1LQj34JOQiMU/ss/SJqAH1pg1oxDXYwRaq8n1EsMTmXXEjWwU4nq10m6PMTgZCLfiFFavX2nWrW9QS3f1pBWV6DpjqMRyoR8+8+BBzJkyBCVsNQMMlgq+qToc6IfSrq87YKS9lFiBGiEwv9V0F1xaEaQPCHTHdeaZwLvZu/upWqEaI8Sdxbv6CZe017dO2rF4t0rxBjN27xDrRSDJLutivGEUo0TtHoyD7aLAMZ4Dj74YD3eY53wqmxj1edXxPBk7spaGXIzPARohMJzrVLVVBsh3DiD8DZVU8nWPCEYitE9O4mhKI2vUGDOw79kiJnhZOJThVim6Nprr1WPP/64WrVqlcJ4jjkXXXeVXUq01jY0qk9r6tSib+pTGqM9pT6Q1avRVd8+mTx5sk6I8imtE9hzzz3VyJEj7YH9D+SMn8k1f6f1M3k0nwnQCIX/6ur124PyDiGDM5knhCVxDurZWR0oBgjbbUnkmx2qsXarin5TpyLb5E2nMuYTF7EwRdJ1N+Oum9QNd9wcj0610VPGmI7r21UdIGW/XbVNra1L3dNDTygVxcziMcMM3g+e9I8Jxk2uFL1bDFBbDqo5h2GeEqARCv+F3QdNCJIRMs9zoF5mTAhjPhP6dVUwBqkksgXLXzVJ7X1vqWhdg9lNGT76+GP62P0XzFCTjjxWdRncVzUsr1IlAytkyLllFx/qcfJu3dXcTXXq79XbVbL37cGborhDoEuXLnqBzZ499bAlMn1X9BwxPsuwQyEBGqEQfwek2wl39L3QhCAZIdMVh3ptk4kCe3brqI7q00VhgdAWIrPZ6pesUzu+lK60dbsmHrXHACGvldVYNkupE/cfqxwZ+9nxxUqtTscOquOwfqp05CBV3KubTmM+UIv9e3RSAzp1UC+v3dpiRh09IUMquxAG6Oijj7Znvv1JcvxvMUCYUUYhAU2ARijcX4RvSfX1dFRjhH7605+qZcuWqenTp6vDDjusRes++OADddNNN+nZSb/73e/0cYyhvPbaa+qNN97Q4yqIRNfJscceq8aNG5f0ie5FixapF198US1YsEBPiMDT33inycSJE/U5puDquR+rJx++T/1gzhy1bt06PSB9zDHHqF/NmKkGN3ZVdZ99rdDtlq5UTBvf7JRel0yI71ffMVu67naq7fNWqTvvuks9/MlstXD1Mj0WhLdP/vCHP1QXXHCB6lvaQZ0iXtHza7eozQ27xsMTPSHsP/vss+rNN99U1dXVug24uZ588snxMhM33n//fTV79mw9vrRlyxb90CXGRCZMmKD220/PqE88Ja/2sQQNGMVeNw24l4nxuT2vGsnGuEKARsgVjDnLJP4+XzMzDobj3nvv1QYlmRGCoYEgnZFbb71Vvfsuekl2yZIlSxR04cKF6tJLL911QLaef/559dBDD8UnAOAgVmv49NNPtZ5wwgnx9Ocdf1x8Gxvr169Xjz32mHr1hZfUnKvvUIN79W923M2di/78W/Xkx03tNfl+/PHHCvree++pBx54QJXJrLyT+ndXT/8bj580iW2EYKBhtHGOERhTtGHNmjUmqlmISQpPPomZxrukpqZGffjhh1rzfRIDVjiwDBAG8s4TA/TALhrcIoFdBGiEdrEI45Y2Qug+Mi+yO+KII9SDDz6oPv/8c7Vx40a9/IlpGPbnzp2rn0j/9re/raNxM4YBwjjOWWedpfvvceNF3COPPKLefvttNXr0aHX44Yfr9PPnz48boCOPPFLB4OApdyxxAoP18ssvx58RwgnHH3+8uuyyy/T5eDr9n8+/qa6+7hr19oJ/qJte+Yu6eeoVOt90P+DtQIxHZPZNPk99MkcboNIOJerak3+kThtztBhNpZ6a/56a+egszejEE09UmN0GQzSx364uO7s7DnxggMBn6tSpcT6If/jhh01xzcJXX8WMY6XZTJo0SXtOuD7g88orWP4rfwXXGN+tmAeEwTWM/zyavy1my7IlUJRtBjw/pwS0ETJdcagJ/oUecsgh2ktB95Et2IeBwXGkgxjP6JRTTtE3TQwgY/n4k046Kd7d9Prrr8ezQRcc8jjuuOO0h4SHDjEGhPwOOuggdc0118TzxkkvvfSS7qLr0aOHUp+vViM2lqg/nXu1zu+tBZ/F83V746H3m272V0w8S1187Kmqb1mF6tejQk07/CR1+fFn6uLuvvvueLH9ZXzIiO0JzZFuRMipp56qYFDQDjCC8U3VHQc+EHS7Yf0zrAyA7ikYc/DJV8H6bvizgmeBYoIuOBogQ4NhUgI0QkmxhCYy6cw4jLlAjNHBNm6M2IfYXXFff/21joMHlShHHXWUjjJpsIN/8xDckFNJv3794odgwL773e+q/r37qrL/GKE9lxFXn6GPr920MZ7O7Y25K7H+o1KTD2neHYi4M0Y3xf3js+RG0DZCpu3Gc8T5Rgwfs29CvG4Z8tvf/lade+656rrrrtPdc/BE81lgZPHOm5j8WgzQLLPDkARSEdj19y9VCsYHkoAYlWKpWNKZcfgH3qdPHz0RAN1nGIyfN2+e3kc8Hhg0sm1b03qJ+MeeKCbOpMFx80CsdbNpdhq8IvNPGGMfU6ZM0QawWaLYzo6dDcmiXYnbvL1pOa8BPXq1yG+3nk1xtbW1Ss/RNgvSxVLaRsi03bCwM4PHmExgeLAgJ4z+8uXL1VdffaUVkxt+/vOf6+Vqkp0X5jh4xJWVlaYJD8rGtWaHIQm0RoCeUGt0gn1ssFQPizW2mJ4t/0D1wDCOme42062EAWMcN4JptBDM+koUDKZDTBpsm248TDBIJoMHD47nP3PmTG2AzjvuZPXxjPvUmv99UWHsZvXNLyQ71dW4ss5N3Y1rknhba2qbPJKyTl3VDplBlyimOw3xpu2t8Uk8H91v6K77/e9/r+655x515ZVX6j8CWN0B43X5JuiiPPDAA02zPpeNC+U71tQnaWIZkkAKAjRCKcCEILrS1NF4J2YfoTE2mJG1YcMGPSvLNk4mLf7BQt555x0TFQ/feustvW3SYAfTsCEY60kmgwYNikdjdh3k2knnqqF9B6rSko56/00Px4J0AfIxauAwvfn4R7vGs8yxxz6crTdH7TFcpogva/KGzEEJba/HtD1x9iCSY9JGW4K3Yx566KHqqquu0kmxtFA+CVZDwDhQ7B07WAlhsnzPsMo1hQTaRYBGqF2YApmoyXpI1UyXkV1L0+2GFaFvvPFGhdB009npzPjRX//6V21Y0EUFxQSEZ555Rie1x5DwDx/GDGM9t912m8KYSV1dne6mw4w8dL8ZMQbpltmPqZqtW9Sm7d+oZz97W13+yE0miWfh1LETdd43vfKIunPOX9X6zdVaZ73xlLr5b01j5edIGiwH1LCquReoJ1HEamb4PP3003rmH6bCQzEL0PBJbATGgGDUMQaEWYPg+dxzz+lkPr2/JrFKnu2PGjVKv4Y6VsDF8t34l2eFMeO8JMAxofBeVm2EMPU31dtUYTy++OIL/bwPmmkbE9NsDLhjCjIeYv3zn/+s1RxDiONjx46NR2H5/bPPPltP04Yn0Jo3cMH556uf/uxn6kaZig01MuXQ8erRmDdi4twOTz/4WPXS3PfVM5++pX7xxB1a7TJw/JTRR+uonWtqVMkeu8aO4L0YwSQDPHj6ySefqPvuu0+rOYYp6snab8aATDo7xMO8+SL4o4P3AcXkz2KAks9ZNykYkkASAjRCSaCEJEoboWRdcab+mIqNqcF4kBQhFpFMJpdffrkeLMf4kVlB2qw0hTXoAAAk1UlEQVSYMH5885UJcD6mbw8fPjy+YgLyx9gJ/hXDCzBy+cWXqroPl6j7331Rraperwb07K2mHDZBTZ94pudGCHW4+7xr1Nhho9TDMl174doVulojBuyhzh57vDr3iBNNNZW9Zh0ibW8FXh9Wn4DXg4kGGBvChAR0d2LadjIjdP3112tP8csvv9TeENiDJ1ZLMM9bxQsP6Qa638aMGWNqj6d2p5sdhiSQDgEnncRMGxwCMnj+ntRmLGZfffTRR4GoGB5atacyR2T1600PvhuIurVWiY5D+6quE0bFk8CooruNkprAAQccoP+IxFKcJMba+9kmqavDIyEmwDGh8F68Nj0hv5uW+EZSp7NMREiY/ux3ndpTntOltFkyzGKjpCaAh3XxSu6Y3E8DZFAwzIQAjVAm1HJ8jnhBmJrdH9VorTvO72rCg7DFkVcpJK5gbR8PynaHfrKagyWJ7bAOcVMIwAtCN6UI5vA3TfvDHoUEMiBAI5QBtACcUil10HeBIBkheBCJ3lDHof0CgCt1FZwOxapkcO9mCfJ9ZYNmjU1zZ4899tAPQsdOu1aMUVWaWTA5CTQjQCPUDEdodipNTZNNzzbHchGahVRN2aX7DFROaYnZDVxYOlLqJ+8esiXV6th2mkLcxjNB1msovhAGdxYiB7bZXQI0Qu7y9Cs3PS82EokkfUbIr0okKydxPMWRd/Z0PjQ+jTfZKTmLK+pWqjodVNmsfDzzFDTD3qyCOdzB+5DMChJSjR+LF8RX0ObweuRL0TRC4bySw1FtdMXZS8wEoSmxJ+ebVaV034EqcN1yMl7Vddx+Lbw0s1RRswZwR5WWlioYoZg8LQZojtlhSALZEKARyoZe7s7VdwO8sTNoYr3au9nqpF2O21eVDGy5SGpO6i8z9rpKfToM6NmieE5KaIFER2C5JrxTSaRR9Jc6kh8k4AIBGiEXIOYgC+0JBfGGiX/MMXnWbCDETLlukw5QHYfrSX32IV+3Mf7T7XipR8sJE7i5KnsFbV8rFuDC8MfCmpL9kHhB8wNcXVYtZASaj8iGrPKFWF3pfsPfUaygrVdCCBIDDFxDY4KF5zCF93wToXQX2EjtgWz/YJGKNuj7fvyw1xuYit113EhVVNY5sSjMLY+IltEIJaJRejWNWDdrvRyd2TIFY0ggcwLxO0bmWfBMnwngZUC6X8R+o6rPdUhanNUVh+PrRKeJloueLhoXjBGVDO6jtv99kapfLMlibyKNJ3B5o6irTEA4+FuqdMRu4pLpme12CXih0qmiLyLSfrU39gtdMBHBrCQuLO4WL+jrQmfC9rtLgEbIXZ5+5HYoCsGEhKANoltdcajiOsyeknpiWe3bRC9CpBHMTINX0mn0ELVj7gpVv2it655RcUU3hSnYHcX4oDswieDFQieJ4hWr2rDTE2pOCWNBeG23SJ3o9c2Pco8EsidAI5Q9Q79z0EYIrxMI2g0zwRPCopZ4sh59bheLMfpYQhijZn1hxeVdVZej9ladDx+uGpZXqYav16uG1TUqWtdsXoOc1g4RLweGp2SPCj3mU9ynrLWT/i4Hz5D6rZC6wVvTkmpFcnO8kEIs5FpZWWmajFWy/212GJKAWwRohNwi6V8+2ggle9Onf1VIXpJlhPD8SLOX9MgN7F652ePNebNEj0vMARMGMGnBTFxorNmqGjd+oxBiIdSovPcHY0jRnRi6kSXp5PkjJeegq61YxnhgfIr7dG8x5TqxHNnHe78xrnGz1MlYuqbXy0okjZBAiAlWSo+N8eGPxI0mniEJuEmARshNmh7nJTdxLHK2F4oJohGyuuOq5AbfZC0sJhK3SHbHSTtOkRCGYD/rcLNNeEhQFwUG517RX0s9ViXkG/fOguZdJtTTt10YH2tG3FOxa+db+SyocAgk7SgvnOaHrqVHSo31NQvi+maWJ4RJCSlFbmh/lYMHiGI85mXRFgZL4tyS9ZLRb0SHSbkXJTFAKIeeEChYgskI1nuVbrAOcZMEXCVAT8hVnJ5nNh4lYH22oM2MQ73aa4SQVowBDM8LUPGMZNqanqH2nxLiNa5xoyDbmQhmcL0m+qToG1JWW8vLxMtjd5y+NvbqCK8Jv08zuQg8hwTaQ4BGqD2UgpNmAqqybl2rjkbOamt1x6VVQbnJYcAbkxZuE4PUUcIxoqNE9xfFM1GDRPuJ4vuKZQ4wUwuKJSPQtbZadIEoFtX8SPJbLmE6Eu+OoxFSCi8ntNaI+2M6IJmWBNIlQCOULrEcpZebM27GejwoqEbI8oTWZopJDAgeiHw/pplmk+558cEnjgkpNXRofMHZJQLyb+nCZHoSSIcAx4TSoZXbtLorDlUIgRFan1tUaZdOTyiGrGvXrqpfPzidWu6UPwVejteZchgWMAEaofBc/BNR1draWpX4uoQgNAHLulhL9qTVHReA+nNMKHYRBg0ahPE67GE24f2xaAYk4BkBGiHP0LqXsXTFdZPc9HjQ6tUY/gieWF1xqFzG3XE5apk2QsJZ4R1NhSwwQjGZLcZog9lhSAJeEaAR8oqsu/keL9npLqOgGiFrUgJaHsruuEIfD+revbvq2TP+eovH3f0KMzcSSE6ARig5l6DFnoYK4f1BWK4niJLgCYXNCGlPqNBnxmFWXEwwpf1Zs8OQBLwkQCPkJV0X8pYuolLJBp6QCqoXhLpZRgj9WWHrxqERkovWv39/XErI+9IVV9u0yU8S8JYAjZC3fN3IfZJkolfiDLIRsrrjNsoNrK2HQ93g4mYeuquzkD0hTCzp3bu3YYpVLCgk4AsBGiFfMGdVyDk4G29RDeJ6caZllie0zsSFKCx4T6iiokLFXlyHy4bVJigk4AsBGiFfMGdWiHTFVciZ8ITU8uXpLgKQWZmZnpUPRqiQJyb06tXLXHq85O+fZochCXhNgEbIa8LZ5T9FTseYkFqxYkV2OXl8ttUdt97jorzIvuC74ywj9EkIu1O9+E4wT58I0Aj5BDrDYnRXXFVVle6OyzAPX06zjBC743wh7m4h1tTsj93NmbmRQOsEaIRa55Ozo9IVN0IKPwwVCHpXHOqYD91xhToxoaSkxF6wFIvAUkjANwI0Qr6hTrugC3AGbowrV65M+2Q/TygqKrLfPRPG7jg9MaFQx4TKyvTkS/OV+dJsMCQBPwjQCPlBOc0yxAvqJKd8H6fBADU0mLdQp5mRT8mtrjiUGMbuuIIeE+rWDatCxWVhfIsbJOADARohHyBnUMTpco6errRkCVbTD7ZYXXGoaNjWjUOd9ascCtUTst4dhGe8vgEQCgn4RYBGyC/S6ZWju+KwYnaQnw0yTUrwhMK2WgKaoT2hQl281DJCK8w1ZUgCfhGgEfKLdDvLka64/STpEUi+dOnSdp6V22QJnlAYu+MKekzI+hMRRi82t19+lp41ARqhrBG6nsF05IhxoDDMikNdrZtYrXTn7EBcyKSgx4Ss90BtCdl1Y3XzgACNUIAuonhBeKUlHlDVXlBYxigsTyh0XpAwLxHcUD0TEWGhCY1QoV3xYLWXRihY1+MyqU4nuTGqxYsXB6tmrdQmzEZImqW74tC8sBj9Vi5FRofwnFBM6AkZEgx9I0Aj5Bvq1gsSw4Ob4YVIhWnZ27ZhCa9wSL4YoUJ9WJWeUDh+Z/laSxqh4FzZc6Uqelr2v/71r+DUqh01scaE1rcjedCS6PEgVIpGSHF6dtC+nQVQHxqhAFxk8YJwHa5AVTZs2KBqamoCUKv2VyHkRijeHVeoRsi60lFrm5sk4AsBGiFfMLdZyH9KimFItXBh+B5Y79ixo2lgGJ8RKngjZBnfuFdoLihDEvCaAI2Q14Tbl/+VSLZlyxa1dm24HtWAAcLacTEJtREq1IkJNELm68swFwTid49cFM4ylZKuuEOEw3+AxaJFi7AfKiyWF4R6bwxV5ZsqG//3b92MQ9iMzKtstTvOIvPceCYJpEeARig9Xl6k/iUy3bFjh1q2bJkX+XuapzUehHLC6AnFb7zWzdhTZkHL3Gp3nEXQ6sj65C8BGqEcXlvxesZI8SegCpgRZ90Mclir9IpOMEJV6Z0diNQcE5LXhcQkzsJEMCQBrwnQCHlNuPX8Z8hhp76+PlQPp9pNsowQ+hFDa4TQDRrGPwH2tch0u66uzpy6m9lgSAJ+EaAR8ot0Qjly0xstUZMQjRlxYR0Ut4xQjawbtzOhmWHY1f/+C9UA4QJt377dXKdBZoMhCfhFgEbIL9Ity5kpUaH2gtAkywiFcTwITSh4I2StzjFI/hw5gEIhAb8I0Aj5RdoqJ1+8IDTJMkJh7IpDE/RgPD0hoFB4o69etUPv8YMEfCBAI+QD5CRF/EriHMyIC9NCpUnaoawp2mH1hAreCFmeEC4xu+SSfdEZ5xkBGiHP0CbPWLwgPBcU+rEg0zrLEwrjM0JoRsF3x23dutVcToTD7R1uk4DXBGiEvCbcMv/rEQUvaMmSJS2PhizGMkLrQ1Z1U11thMI6McQ0IpsQ30Vrhtz+2eTFc0kgXQI0QukSyyK9eEET5PRxyGLBggWhnRFnI7CMUFg9oYLvjsP13LRpk7mso8wGQxLwgwCNkB+UpQwxQGD9GxSH7o+wjwWhHcXFxcp6F02oPaFCnpiAa1lbW4sAQk+oiQM/fSJAI+QTaCnmTNGDUNy8efNUJBLBZqjFmpSAdoTVE8KMsIJ9UBVth1ieEKZplzfF8pMEvCdAI+Q9Y3hBpVLMr1EU/nGuWLHCh1K9LyLBCIV1inYHkMqHPwXZXHHLE0I2eJCaQgK+EKAR8gWzukSKqURRc+fODd1K2ah3MkkwQuF6E9+uBumXIckfhV0xBbi1efNm1dDQYFp+pNlgSAJeE6AR8phwrGvj5yhm/fr1at26dR6X6F/2JSUldmHxkW07MgTb9ITkIsEIV1XFndmjQnDdWMU8IUAj5P2F/JUU0Rs/cnhB+SQJnlB8ZDtkbdRGqNA9IVwzvFo+JocKDz1WZiIYkoBXBGiEvCIr+coPeV8JLkIReFdQTU1Ye6zQgpZiGaGtsnhpfcsUoYjR3XGFPiaEK2UZIYxhHhqKq8dKhp4AjZBHl1AMEBaCvF20A/rav/zyS49Kyl22VndcWLviAK8YH/SElP6TZI0L4Zk2Cgl4ToBGyDvEUyRr3bc+f/58+4l070r0OWfLCIXZxaMnFPvewBBbY5Yn+fx1YnEFSoBGyIMLLz/mbpLtDcga72pZuXKlB6XkPkvLCIXZE+KYkPVVWrNmjdnbT77HlWaHIQl4RUD/AL3KvIDz/YW0fSDa37lzZ3XiiSfq51CwRheMEtbpMmrvYxtpwjI+YY0JhXVSAi4RZ8eBQkxghOARyRgfYr4rekvsEAMS8IQAjZDLWOUH3F+y/K/EbIuKirRBglFqS2Cg2mOwcr3UjOUJhdkIcUzI+kLie7dx40bVu3dvxNIIWWy46Q0BGiGXuco/yLWS5QAxRpji2k90dyvsa+3vJtswWEjTrFu0U6dOCtqjRw85lFqw8rPxpIwXZe8bb6u+3puJa3niCeknNPEngdJEYPXq1cYIHS3f4wHynY730ZERCbhNgEbIbaKx/OSHWyeby2PaainyQ8daXTBKAxJCxJs4vGysu2hcsHho9+7dtcYjk2ygew+GyBgoe9vEIcTLzaQuSXJIHmV5QmGemLATrYt1PyVvaIHFYgxz1KhRYAIv8QzRmwsMAZvrIwEaIR9hpypKfuy4iUPnpUqDeDEQ6MszRikxtA0WjsUF//KNdxWPTLEBAwUPyjZO2LfjYazghVmeUJgnJmhPiEZo1xcC1x7PDPXtC8ddTRWlEdqFh1suE6ARchmol9nJjXK75L80pimLEmOFF7WZ7j4TwjBB0QWIOHQD6ruMhHGBYYGWlZXF45JtwChZr3EIsxGqR/vYHdf8KmOR3ZgRGiPfp73lu/dV8xTcIwF3CNAIucMxULnIDWObVGhxTFPWTW4uWPwNxsiMW6UyWDBWzRaKs7wg5B/miQkcE8IVTJBVq1apAw88UL8zSg79SPTKhCTcJQFXCNAIuYIxnJmIscINeFVMUzZCjBXm68IQQTH1HKFtuL6W/bCKNkLCIqz196TeWDkBY0OVlZXI/wfyHbhGGGGck0ICrhKgEXIVZ35mJjcfzFbA8t/QL/KslfSEUlzQpUuXGiPUS5KcJvpwiqSMJoGMCXBeasboeGKeEKAnlOJC4nkh62V3eCcWhQRcJ0BPyHWkzDBkBLQR2n333fVUdzMz0H5Y2MwURJx0S4WsedlVd/HixWrMmDHI5HBp+1jxit/PLkeeTQLNCdAINefBvcIjoGfH4ZmnXr3Q65RaYIBgiIyhMmGiwcJ+rlezSN2K9I5gltzIkSP1FH8580pRGqH0EDJ1GwQ4GtsGIB7ObwJiWPAq6wNE2zWFvb00zHNVxlAhNGo8K+xbr05ob9a+p9tnn33Uvvvi1ViqUXSkeEMLfK8EC8xbAjRCeXtp2bBsCYiBMlPYzdR1EyYarBZT2NtbNjwm2yhhO5lnBYOVKyktLVWTJk0yz4X9RYzQWbmqC8vNPwI0Qvl3TdmiHBAQg9XaahYwWjBg0J6ZVs94V8ZoJQsR58Uq7OiS23vvvVH1iOgBYoi+yLQdPI8EbAI0QjYNbpOAxwQSjFXiUkswUsZg4SHijGavwruC55TMSJl4HEunKxBjZieccIKKrRf4uBihMzxGxewLhACNUIFcaDYzXATEWNmrsKd6SBhLMOGYfh1Fui1sbRV2Y6wQwgODYFwI40Mi8IZGiyH6J3YoJJANARqhbOjxXBLIMQExVjBAMEQwSPCk7GWYdo/tIx7HS0XTFnTvwRjBc7JeL/KOZHSUGKLCmrOeNj2e0BYBGqG2CPE4CeQJATFYFdIUdPclGqxET6vZK0Naaf73xQg92MpxHiKBNgnQCLWJiAlIoLAIiLGyV2FPnAloPC0YLnhBe4kh2lxYhNhaEiABEiCBnBMQY1UCzXlFWAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESCAYBJxjVYC1IoInA+tvn9O+gGo5RyhmlnGilhBVNR6LVShUtV9HI540dIm/2uXDiGjIjARIIPwEaofBfw9C3IPr448U1VeVnKMe5UEWjR0iD2vpeRiXNu5L+rvJ1xY85M47ZGXoIbAAJFCiBtn7sBYqFzfaLwMZZs79TFFW3iFXZM5My5bxFjir6ccW0417O5HyeQwIkkFsCNEK55V+wpUejUaf6jteucxx1nUsQ/lS+vsMl9IpcoslsSMAnAjRCPoFmMbsIbLzlpTKnQ8kjEnPCrlhXtl5RxWpKxYXjN7mSGzMhARLwnECR5yWwABKwCERnzOmgSkqelii3DRBKmaga1QsyxtTRKpKbJEACASZAIxTgi5OPVavp23izE1XHedi2b1dXld/pYf7MmgRIwEUC7I5zESazap1A9azXpsrst4daT+XOUTF0Pyi/ZPwD7uTGXEiABLwiQE/IK7LMtxkBPQ4Uif6xWaSHO1FH/aH6rtk9XCjiDMljjiieS6oX/bfok6LjRG3Bb+ki0Y9FvxHdKvqR6IWiyf7sycQ+BU0mqY6Z+M5y0q2i60QT8zhM4h4VXSWK+m4UfV50gmiioEv0VVF5BkvtEF0seoOoG9wkGwoJtE0g2Y+j7bOYggTSJFA9a/bVcrv8TZqnZZc8qv6n4pLx12eRyUw599pWzrd/Pw9LurNSpH1Q4r+fcMwYDzsPkyTVMRP/lCQ8zSSW0ORxpWzDiKT6c2nS4dRfif4SG0lknsSNFd2c5BijSMBVAqm+rK4WwswKm0B0xowiMUDTfKfgqGl4EDaLci+JnXuThJWimPDQS/Qk0b+JGjlTNmCA4E1cITpAdDfRq0QbRM8RnSzqlhwjGZ0uWiZqDMtRsv17UfymYfRGi3YXLRc9UdSuL7w4GKDVoqhXH9EuomNF4cntK/oLUQoJeE6ARshzxCygtvfh3xYKg3JAYrdNG3vg5pypmBv865IBbtgwKOi6ekH0O6JGzott/D8JbxZdK4ruuz+K/k4U8qOmwJXPn0ku8Ia2WLnB+KG+d4vC6/pMFN2CtaIvitr1vVT2ITCeT4hWiW4X/UB0iijk1KaAnyTgLQEaIW/5MnchECkqGp8rEJGokzh2k05V/hJLDKODZ4/eFkX33EBRWw6K7TxkR8a274+FByY5lmlUstUh4MVAYATbksNjCeZIuFO0MaYRCZeIQgY3BfwkAW8J0Ah5y5e5CwH5ez4mVyAc5RycRdmXy7nTReeKorvqCNGZogtFbQ/LDORj0kKiwIOC9GwKXPmEl5Uo6HaDfN0UtPpZETuKrkoo7gNQeFJG0PVIIQHPCdAIeY6YBQiBYbmiEM1wTbpYfeElYDxof1GMm5wmOkcUBgnjL0bgJUF2awqafZo4k8YclKppKTERsdAYiIToZrvwWBKlJhYxJPFAkn100UGGisLwpFKkoZCApwRohDzFy8xjBNpzY/UKlvEQss0f4yZPi54ay2gfK8N/xLbPtuLMJsZnIBijscUYjRF2pGxPTNhv7+77sYTw3toSjP1ALm4K+EkCuSNAI5Q79oVUcoccNjabbqW3pd4wLANF0Yb+oj8RhdQ1Bfrz3tg2ZpT9WBTpoFeIXi0KuacpiH9iFhrkZlF4Lz1Evyf6v6KZyE1yEryrH4k+IHqgaDdRdAOeIPqqqBFMmEDaq0T/JHqQaJloqeieoueLGqMmmxQS8I4A3HAKCXhKoPqO2RgXMd1SnpaVJPOqimnj0ZWWiZgus2TnzpDImdaBx2Q71TTsR+TYVCstNo8XfSkhDrswaOfF4hN/n6Y+ifGx5Nqo3CA7qY7b8fCYYIxa+yNqpzdlMCQBVwm09gV0tSBmVrgEHBVdlbPWO2pFFmVjFhk8mK9FMT17neibolhFYaaoLWfKDqY+o9sN052hn4pOEz1HNFEww+0s0fmiyHul6HWiF4hmKn+QE48UxfRt1BVjWuhGfE50gqgt8MAOFX1IFIzqRVHneaI3iu4vSiEBzwnwn47niFlAze2z75FldM7LEYkHxRMy4zI5qgKLJQESSEWAnlAqMox3j4DjvO1eZunlJP+y5qR3BlOTAAn4SYBGyE/aBVpWcUSvMIDuHr9lZ32Jk2zcxe96sDwSIIEUBGiEUoBhtHsEyi4dt9FxohiX8FXkDeLP9zt/HMZGKCRAAgElQCMU0AuTb9VyHL2Gmpnd5UfzGmUtgP/xoyCWQQIkkDkBGqHM2fHMNAj0vGjCJ5IcM7H8EUfd2+uicZh5RiEBEggwARqhAF+cfKtah4iDhzcx3dlrWV7S0HCN14UwfxIggewJ0Ahlz5A5tJMAxoYiUf30/qZ2npJJsu1FKnJa98smbcjkZJ5DAiTgLwEaIX95F3xpvS8Z/5UqiuIhzW0ewKh3IurMntO+g4dEKSRAAiEgwIdVQ3CR8rGKtXe8OjriOM+oqIN12dyQjRHlTOk9bdxrbmTGPEiABPwhQE/IH84sJYEAvJXGosghEv1KwqEMdp3no9HIgTRAGaDjKSSQYwL0hHJ8AVi8vC/79ldPiqqia2Uad7ovv/vQiUR+Wn7pd94mRxIggXASoBEK53XLy1rX3vb6QREn8j1ZA/oYaSAW0OyU0NAdshjq52Kw5hSpxic49pNAh7skEEICNEIhvGiFUOXojBlF1X0O311FS/CeG3k5QcPmig0frHZmzIgUQvvZRhIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARLwiwBfaucXaZbTbgK3L6vaW+10RhU5zpCoUj1xonxRa1VULXOi0bkXDe81v92ZMSEJkECgCdAIBfryFE7lblu0cd/iInV+VDmTpdUD2mj5mqgTfSISde7+76EVX7SRlodJgAQCTIBGKMAXpxCqduuy2iHFjY1/EF/nFGlvut/HaFRFn3Eai6+atmfPpYXAi20kgXwjkO6PPt/az/bkkMCsJdVTpbvt/6QKnbOsxvZo1LnokmHlD2SZD08nARLwmQCNkM/AWZxSUbEYdyytvs5RzrXCw7XvoHTR3dJnSMX0yY7TSM4kQALhINAhHNVkLfOJwB1La2aJAbrQ7TY5UeeyDUtru0m+P3Q7b+ZHAiTgDYEib7JlriSQnMCsxTWXievjugEypTkqet7tSzZeYfYZkgAJBJuAa10hwW4maxcEAtIFd4RMs35D6uK1B97oRJxxFw8vf9OFdveQPH4neoLo7qL4zZjfjQxpaTH7sV1pZfJ4c5whCZBAjEDij4dgSMATAnd9Ei1p7Fnzudy+9/akgJaZLuxdVz5q8r5OfctDacX8SVKfn3CG+d2kMjbpxidkz10SKBwC7I4rnGud05Y2ltee7aMBQlv3qupc/X0XGg0PCDJJFB6cMUCIw7a9jzgKCZBAGgRohNKAxaTZEIhens3ZGZ0bcaZndF7zk8yDs69INGfdNWfDPRLImgCNUNYImUFbBO5cWrO/pBnVVjrXj0vX322Lag/KMF90qUGNpxOJ7Zt4O2xPEUhvxD7XjsdxeF6vilaL7hBdLHqDKMamEsXkg+esbhVdJ5qYX+I53CeBQBGgEQrU5cjPykSi0Ym5allRcSRnZWfQ5l/JOS+IThAtF+0oOlT0J6LviZaJJpMHJfJS0b7JDjKOBIJMgEYoyFcnf+p2WM6aElVjMyw7cbzH7NthOlkbjwrn2HmY+HES/0vR1aJYP6+PaBdR1P9j0X1FfyGaTI6RyNNFYaRMfsnSMY4EAkeARihwlyQPKxRVe+WwVbksO51mw5OBnCn6hGiV6HbRD0SniEJObQpafP5MYp4S3dLiCCNIIOAEvH5eI+DNZ/V8IeCo3r6Uk7wQeBRhkMNjlZwTC41Hg9BsD07RkJdTxDOaBAJPgEYo8JcoLyrYKYetwKB9GKQiVsniViqLMaJksiZZJONIIAwE2B0XhqsU8jrKO4K25bAJ3+Sw7HSKro0lxkQE4/0kC5PliZl7FBIIJQEaoVBetnBVWtZzy+U/9VyWnXihdsYiknmGGPuBXNwU8JMECoMAjVBhXOdct3JBriogq3V/lauyk5RrDOI5cgwz32z5o+zgGZ+rRLFUEJ5vwmy3UtE9RbF00PuiFBLIKwI0Qnl1OQPaGEe9m7OaRdU7OSu7ZcHPxKJgZLaKwuhAIW+JThdF1xoMzqeim0TrRBeK4hwzeUE2KSSQHwRohPLjOga6FY1FRS9JBc3N1s+6Rouizot+FthGWVfL8ZtEvxZtSJL2Zok7VPQh0RWi9aLbReeJ3iiKlScoJJBXBMzUz7xqFBsTPALyGoc5YoaO9rlm704bWnGEz2WyOBIggTQI0BNKAxaTZkEgqv6QxdkZnRpRRTMyOpEnkQAJ+EaARsg31IVdkHgk0i0WfcNHCi9eOrTn6z6Wx6JIgAQyIEAjlAE0npIZgYiKYPrx5szOTuusLcVFEcwyo5AACQScAI1QwC9QPlXv0qF9/uUURbE4Z6OH7Yooxzn7wiG9czYt3MO2MWsSyDsCNEJ5d0mD3aCLh/R6NaqiP5FaejJbLhpVP5/2rfLngk2BtSMBEjAEODvOkGDoK4FZS6qnihW6WwpNtnpAJnVpdKLO9IuHld+Syck8hwRIIDcEaIRyw52lCoFZS6sOiUaLHpXNIVkBcdRS6YI7b9qQ8reyyocnkwAJ+E6A3XG+I2eBhsDF3+r9UV3HrfKyNuc6iasx8WmEVbI46uW9t5fvTQOUBjUmJYEAEaAnFKCLUchVuWfBhu71JUXfi0adybKGNB4wTVxbzeDBitzvRp3o442N6onLhvfyY7adKZshCZCAywRohFwGyuyyJ3DXJ9GShh7Vsmhn0bDiomi3qKxCGml05K2hkcV96ysWTd7XwXI2FBIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIIEoH/D4aSovkoxYUoAAAAAElFTkSuQmCC)](https://upload.wikimedia.org/wikipedia/commons/c/cc/Source-filter_model_diagram.svg) # Source diff --git a/Speech/Speech Processing/Vocal Tract.md b/Speech/Speech Processing/Vocal Tract.md index f4dd38d..a738648 100644 --- a/Speech/Speech Processing/Vocal Tract.md +++ b/Speech/Speech Processing/Vocal Tract.md @@ -1,3 +1,7 @@ +--- +tags: + - speech +--- - Input and output signals are real - Filter coefficients are real for rational $H(z)$ - Poles/zeros either real or complex conjugate pairs