favorite this post Jan 18 Pocasset Mill is Perfect for You and Your Four Legged Friend!(#209) $1600 1br - 898ft2 - (Johnston) pic hide this posting restore restore this posting [103 more like this]
favorite this post Jan 18 Modern Amenities. Urban Location. Sophisticated Style (#306) $1485 1br - 907ft2 - (Johnston RI) pic hide this posting restore restore this posting
favorite this post Jan 18 One Bedroom available immediately ! Schedule a tour TODAY! $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 17 1st Floor 2 Bed 2 Bath Corner Unit at Pocasset Mill! #120 $1655 2br - 990ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 17 Top Floor 1 bed 1 bath with a Bonus Den! Pocasset Mill Lofts #307 $1600 1br - 904ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 17 AVAILABLE NOW! Top Floor 1 Bed 1 Bath! #322 $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 16 Do you use the bus to commute?This 1 bedroom apartment is perfect (325 $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 16 Furry Friends are Welcome at Pocasset Mill! $0 (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 16 Sunny and bright 1 bedroom apartment (322) $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 16 Huge 2 Bed 2 Bath With a Bonus Den at Pocasset Mill! Top Floor! #323 $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 16 Top Floor Corner Unit at Pocasset Mill Lofts! 2 Bed 2 Bath #332 $1655 2br - 1006ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 16 Dreaming of Springtime on Your Private Patio? Pocasset Mill Lofts #110 $1540 1br - 891ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 15 Furry Friends are Welcome at Pocasset Mill! $0 (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 15 Schedule a tour TODAY! $0 (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 15 $500 Will Hold Your 1 Bedroom at Pocasset Mill! Top Floor Apt! #306 $1485 1br - 907ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 15 HUGE 2 Bedroom with a den and a walk-in pantry ! $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 15 Need Extra Space? This 2 bed has a Bonus Den at Pocasset Mill! #126 $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 15 Welcome Home, We Are Waiting For YOU at Pocasset Mill Lofts! $1655 2br - 990ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 14 $500 Security Deposit with Good Credit! Come See Us at Pocasset Mill! $1820 2br - 1144ft2 - (Johnston) pic hide this posting restore restore this posting
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favorite this post Jan 14 Quality Living - It Starts Here at Pocasset Mill Lofts! #222 $1400 1br - 700ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 13 Need Extra Space? This 2 bed has a Bonus Den at Pocasset Mill! #323 $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
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favorite this post Jan 13 It's not too late to make Pocasset Mill Lofts your New Home! #325 $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 17 Make Your New Move to Pocasset Mill! (#209) $1600 1br - 898ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 19 Welcome Home-We Are Waiting For You at Pocasset Mill! (#209) $1600 1br - 898ft2 - (Johnston RI) pic hide this posting restore restore this posting
favorite this post Jan 11 One Bedroom with a River view $1400 1br - 908ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 11 Huge 2 bedroom 2 bathroom apartment with a den ! $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 11 $500 Security Deposit with Good Credit! Come See Us at Pocasset Mill! $0 (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 11 Pocasset Mill is Perfect for you and your Four Legged Friend!(#301) $1820 2br - 1144ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 10 $500 Security Deposit with Good Credit! Come See Us at Pocasset Mill! $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 10 New Year New Home! 2 bed 2 bath at Pocasset Mill Lofts! #120 $1655 2br - 990ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 10 1 Bed Handicap Accesible Apartment Available NOW! #227 $1400 1br - 700ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 9 2 Bed 2 Bath Available 2/1! Pocasset Mill Lofts! #205 $1685 2br - 1063ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 9 We have the wonderful 2 bed/2 bath you’ve been waiting for! (120) $1655 2br - 990ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 9 Quality Living - It Starts Here at Pocasset Mill Lofts! $1600 1br - 904ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 9 Very Bright River Facing 1 bedroom Apartment AVAILABLE NOW ! (322) $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 9 SPECIAL: $500 Security Deposit on ALL 1 or 2 Beds! Pocasset Mill! $1600 1br - 904ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 9 Welcome Home, We Are Waiting For YOU at Pocasset Mill Lofts! $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 8 Top Floor- Corner-Two Bedroom 2 Bathroom Apartment- with a riverview $1655 2br - 1029ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 8 Do you use the bus to commute? $0 pic hide this posting restore restore this posting
favorite this post Jan 8 Welcome Home, We Are Waiting For YOU at Pocasset Mill Lofts! $1600 1br - 898ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 8 2 Bed 2 Bath with a Den at Pocasset Mill. Available Mid February! #323 $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 8 2 Bed 2 Bath Corner Unit Available February 15th! Pocasset Mill Lofts $1720 2br - 1133ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 8 Dreaming of Springtime on Your Private Patio? Pocasset Mill Lofts #110 $1540 1br - 891ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 15 Pocasset Mill is Just Right for You! (#301) $1820 2br - 1144ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 7 Apply today for immediate move in !! 1 bedroom with a den $1600 1br - 904ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 7 Available Immediately ! 2 bedroom 2 bathroom with a den ! $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 7 New Year, New Apartment ! $0 (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 7 Top Floor 1 Bed 1 Bath at Pocasset Mill Lofts! #325 $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 7 Need Extra Space? This 2 bed has a Bonus Den at Pocasset Mill! #126 $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
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favorite this post Jan 6 New Year New Home! 1 bed 1 bath at Pocasset Mill! #322 $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 6 2 Bed 2 Bath with a Den at Pocasset Mill. Available Mid February! #323 $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 6 AVAILABLE NOW! 1 Bed 1 Bath with a Bonus Den! #209 $1600 1br - 898ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 14 Pocasset is the Place to Be! (#301) $1820 2br - 1144ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 17 Pocasset Mill is Purr-fect For Your Pets! (#209) $1600 1br - 898ft2 - (Johnston RI) pic hide this posting restore restore this posting
favorite this post Jan 3 Your New Years Resolution Should Be a New Home! #120 $1655 2br - 990ft2 - (Johnston) pic hide this posting restore restore this posting
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favorite this post Jan 3 Start Your New Year Off Right in this Top Floor 2 Bed 2 Bath with Den! $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
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favorite this post Jan 2 Historic Mill Converted to Luxury Apartment at Pocasset Mill Lofts! $1820 2br - 1144ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 2 New Year New Home! 2 bed 2 bath at Pocasset Mill Lofts! #120 $1655 2br - 990ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 12 This Luxury 1 Bdrm Has a Bonus Den! Call to Tour (#307) $1600 1br - 904ft2 - (Johnston RI) pic hide this posting restore restore this posting
favorite this post Jan 12 Gift Yourself a New Home at Pocasset Mill! (#307) $1600 1br - 904ft2 - (Johnston RI) pic hide this posting restore restore this posting
favorite this post Dec 23 1st Floor 2 Bed 2 Bath Corner Unit at Pocasset Mill! #120 $1655 2br - 990ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 23 $500 Security Deposit with Good Credit! Come See Us at Pocasset Mill! $1600 1br - 904ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 23 Ring In the New Year with a New Home! Pocasset Mill #322 $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 20 Take Advantage of Our Holiday Special of $500 Security Deposit! #120 $1655 2br - 990ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 20 Come in NOW and Only Pay $500 Security Deposit! #306 $1485 1br - 907ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 19 2 Bed 2 Bath with a Den at Pocasset Mill. Available Mid January! #126 $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 19 Bring In the New Year in Your New Home! Pocasset Mill #120 $1655 2br - 990ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 19 AVAILABLE NOW! 1 Bed 1 Bath with a Bonus Den! #209 $1600 1br - 898ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 18 Enjoy The New Year in Your 1st Floor Corner Unit at Pocasset Mill! $1655 2br - 990ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 18 Move In Before the Holidays! $500 Security Deposit! #322 $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 18 Top Floor 2 Bed 2 Bath with Bonus Den at Pocasset Mill! #323 $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 14 Pocasset Mill is the Purr-fect New Home for 2020! (#120) $1655 2br - 990ft2 - (Johnston RI) pic hide this posting restore restore this posting
favorite this post Dec 17 Live a Better Life at Pocasset Mill! (#306) $1485 1br - 700ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 17 Make Yourself at Home at Pocasset Mill! (#120) $1655 2br - 990ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 16 1st Floor 2 Bed 2 Bath Corner Unit at Pocasset Mill! #120 $1655 2br - 990ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 16 SPECIAL: $500 Security Deposit on ALL 1 or 2 Beds! Pocasset Mill! $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 16 Enjoy the Holidays in Your New Apartment at Pocasset Mill Lofts! $1485 1br - 907ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 15 Pocasset Mill is Just Right for You! (#120) $1655 2br - 990ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 13 Christmas Special - $500 Security Deposit!! Gift Yourself a New Home! $1685 2br - 1050ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 13 Dreaming of Springtime on Your Private Patio? Pocasset Mill Lofts #107 $1600 1br - 890ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 13 Top Floor 1 Bed 1 Bath at Pocasset Mill Lofts! #322 $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 12 1st Floor 2 Bed 2 Bath with a Bonus Den at Pocasset Mill Lofts! #126 $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 12 Enjoy the Holidays in Your New Apartment at Pocasset Mill Lofts! $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 12 Join the Pocasset Mill Lofts Family! 2 bed 2 bath Available NOW! $1685 2br - 1050ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 9 Dreaming of Springtime on Your Private Patio? Pocasset Mill Lofts #107 $1600 1br - 890ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 9 Top Floor 2 Bed 2 Bath Corner Unit at Pocasset Mill! #320 $1655 2br - 1029ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 9 Welcome Home, We Are Waiting For YOU at Pocasset Mill Lofts! $1885 2br - 1354ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 1 Industrial Elegance Meets Modern Amenities at Pocasset Mill (#306) $1485 1br - 907ft2 - (Johnston RI) pic hide this posting restore restore this posting
favorite this post Dec 8 Beautiful 2 Bedroom with Modern Amenities (#120) $1655 2br - 990ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 6 Top Floor Unique Corner Unit Available NOW! Pocasset Mill Lofts #301 $1820 2br - 1144ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 6 $500 Security Deposit with Good Credit! Come See Us at Pocasset Mill! $1400 1br - 708ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 6 1st Floor 1 bed 1 bath with your Private Patio! Pocasset Mill #107 $1600 1br - 890ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 2 Warm Up With Our Hot Specials at Pocasset Mill! (#120) $1655 2br - 990ft2 - (Johnston RI) pic hide this posting restore restore this posting
favorite this post Dec 12 The Best Of All Gifts on Christmas Day Is a New Apartment! $1600 1br - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 12 Escape This Bone-Chilling Cold With Our Warm and Beautiful Apartments $1485 1br - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 12 Burrr...Warm Up With This Hot Special! $500 Security Deposit $1400 1br - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 30 Need Extra Space? This 1 Bdrm at Pocasset Mill Has a Bonus Den! (#209) $1600 1br - 898ft2 - (Johnston RI) pic hide this posting restore restore this posting
favorite this post Dec 15 Pocasset Mill is Perfect for You and Your Four Legged Friend!(#209) $1600 1br - 898ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 10 Come Experience the Pocasset Mill Difference! (315) $1400 1br - 736ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 18 Single family 2 bedrooms $1100 2br - (Johnston) hide this posting restore restore this posting
favorite this post Jan 18 Secluded 1 bed, 1 bath house in an Historic farm cottage $1100 1br - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 18 Large One Bed One Bath W&D Private $1295.00 $1295 1br - 850ft2 - (Johnston RI/Rt 295 Exit 10) pic hide this posting restore restore this posting [2 more like this]
favorite this post Jan 15 Bright Large One Bedroom One Bath $1295.00 $1295 1br - 850ft2 - (Greenville Rd -Johnston RI) pic hide this posting restore restore this posting
favorite this post Jan 19 Large One Bedroom One Bath $1295.00 $1295 1br - 850ft2 - (Johnston RI - Greenville Rd) pic hide this posting restore restore this posting
favorite this post Jan 18 ***SINGLE FAMILY,,SERENE VIEWS FROM EVERY WINDOW, NICE!5 Mins to Hwys $1950 4br - 1400ft2 - (20 Mins. to Attleboro MBTA, 15 mins to Providence) pic hide this posting restore restore this posting
favorite this post Jan 17 Single Family Home/Johnston/Smithfield Line $1650 3br - 1100ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 17 BRAND NEW Renovated 3-Bed in Johnston on a Quiet Street $1325 (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 17 Johnston -Newly Rehabbed Two Bed $1195 $1195 2br - 800ft2 - (262 George Waterman, Johnston) pic hide this posting restore restore this posting
favorite this post Jan 17 HUGE 1BR, Pet Friendly, H&HW Included, Pool&Fitness Center! $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting [29 more like this]
favorite this post Jan 17 Large 2BR, Convenient Location, Pets Welcome! H&HW Included! $1375 2br - 965ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 16 Large Top Floor 2BR, Convenient Location, Pets Welcome! H&HW Included! $1375 2br - 965ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 16 Large 2BR, H&HW Included, Pets Welcome, Great Location! $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 15 Spacious 1BR, Utilities Included, Pets Welcome $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 15 Large 1BR, Pool & Fitness Center, Utilities Included! $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 14 First Floor 1BR, Convenient Location, Utilities Included! $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 13 Spacious First Floor 1BR, Utilities Included, Pets Welcome! $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 13 Bright & Sunny 1BR, Pets Welcome, Utilities Included $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 13 HUGE 1BR, Pet Friendly, H&HW Included, Pool&Fitness Center! $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 9 Large 1BR, Convenient Location, Utilities Included! $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 9 FREE RENT Huge 1BR, Pet Friendly, H&HW Included, Pool&Fitness Center! $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 8 Spacious 2BR, Pet Friendly, H&HW Included, Pool&Fitness Center! $1400 2br - 965ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 7 HUGE 1BR, Pet Friendly, H&HW Included, FREE FIRST MONTH RENT! $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 7 HUGE 1BR, Pet Friendly, H&HW Included, Pool&Fitness Center! $1325 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 6 HUGE 1BR, Pet Friendly, H&HW Included, Pool&Fitness Center! $1325 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 6 Spacious 2BR, Pet Friendly, H&HW Included, Pool&Fitness Center! $1400 2br - 965ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 6 Spacious 1BR, Utilities Included, Pets Welcome, FREE RENT! $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 3 Spacious 2BR, Pet Friendly, H&HW Included, Pool&Fitness Center! $1400 2br - 965ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 3 HUGE 1BR, Pet Friendly, H&HW Included, Pool&Fitness Center! $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 30 Large 1BR, FREE First Month Rent, H&HW Included! $1225 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 30 Spacious 1BR, Utilities Included, Pets Welcome, FREE RENT! $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 27 Large 1BR, FREE First Month Rent, H&HW Included! $1225 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 27 HUGE 1BR, Pet Friendly, H&HW Included, Pool&Fitness Center! $1225 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 26 HUGE 1BR, Pet Friendly, H&HW Included, Pool&Fitness Center! $1225 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 26 Spacious 1BR, Utilities Included, Pets Welcome, FREE RENT! $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 17 HUGE 1BR, Pet Friendly, H&HW Included, FREE RENT! $1295 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 11 Spacious 2BR, Pet Friendly, H&HW Included, Pool&Fitness Center! $1450 2br - 965ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 10 HUGE 1BR, Pet Friendly, H&HW Included, Pool&Fitness Center! $1325 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 16 Beautiful Johnston Ap $1000 Monthly, 2nd fl (Johnston, Rhode Island) $1000 2br - (Johnston) pic hide this posting restore restore this posting [1 more like this]
favorite this post Jan 16 Beautiful Johnston Ap $1000 Monthly, 2nd fl (Johnston, Rhode Island) $1000 2br - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 13 newly availible $1200 1br - 900ft2 - (johnston, ri) hide this posting restore restore this posting
favorite this post Jan 12 325 Cherry Hill Rd, Johnston, RI 02919 $1200 2br - 1350ft2 - (Johnston) pic hide this posting restore restore this posting [1 more like this]
favorite this post Jan 3 325 Cherry Hill Rd, Johnston, RI 02919 $1200 2br - 1350ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 12 Johnston 3 bed $1150 3br - 968ft2 - (Johnston RI) pic hide this posting restore restore this posting
favorite this post Jan 7 BRIGHT & BEAUTIFUL, Tucked Away Luxury Units Minutes from Providence! $1430 1br - 710ft2 - (Johnston) pic hide this posting restore restore this posting [1 more like this]
favorite this post Jan 7 BRIGHT and BEAUTIFUL JUST MINUTES FROM PROVIDENCE!!! $1560 1br - 710ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Jan 6 3 bed Colonial for Rent $1500 $1500 3br - 1700ft2 - (JOHNSTON (by lake)) pic hide this posting restore restore this posting
favorite this post Jan 4 MOWRY AVENUE APARTMENTS $1200 2br - (JOHNSTON) hide this posting restore restore this posting
favorite this post Jan 2 2 Bedroom Johnston $1100 (Johnston) pic hide this posting restore restore this posting [4 more like this]
favorite this post Dec 27 2 Bedroom apt Johnston $1100 (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 22 2 BedRoom Johnston $1100 (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 22 2 bedroom apt Johnston $1100 (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 17 2 BEDROOM JOHNSTON RI $1100 (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 30 Basement in Johnston $875 (Johnston) hide this posting restore restore this posting
favorite this post Dec 29 We do clean outs $0 (Anywhere) hide this posting restore restore this posting
favorite this post Dec 27 Looking for a 4 bedroom house that accepts section 8 $0 4br - (Johnston/Cranston) hide this posting restore restore this posting
favorite this post Dec 22 Brand new 2 bedroom apartment available $1200 2br - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 16 Duplex/3 Bedroom 1.5 Bath 1st Floor Available Jan. 1 2020 $1700 3br - (Johnston, RI) pic hide this posting restore restore this posting
favorite this post Dec 16 HUGE 1BR, FREE RENT, H&HW Included, Pool&Fitness Center! $1350 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting [2 more like this]
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favorite this post Dec 11 HUGE 1BR, FREE RENT, H&HW Included, Pool&Fitness Center! $1395 1br - 815ft2 - (Johnston) pic hide this posting restore restore this posting
favorite this post Dec 12 *Now Accepting Applications for our Waiting List!* $0 (339 Simmonsville Ave. Johnston, RI) pic hide this posting restore restore this posting
favorite this post Dec 11 Wanted. Small house cottage studio for rent. $600 1br - (Country preferred not mandatory) hide this posting restore restore this posting
favorite this post Dec 9 Apartment for rent $950 2br - (Johnston) hide this posting restore restore this posting
favorite this post Dec 6 2 Bedroom apt Johnston Ri $1120 pic hide this posting restore restore this posting
favorite this post Dec 6 Cranston Sunny 2 bed w/heat and hot water $1250 2br - 700ft2 - (Cranston) pic hide this posting restore restore this posting
favorite this post Dec 5 Renovated 1 Bedroom with Potential Second Bedroom in Johnston near RIC $1100 1br - (Johnston) pic hide this posting restore restore this posting


Your age in earth is:
Your life expenctany on earth is
Your age in Mercury is:
Your life expenctany on Mercury is:
Your age in Venus is:
Your life expenctany on Venus is:
Your age in Mars is:
Your life expenctany on Mars is:
Your age in Jupiter is:
Your life expenctany on Jupiter is:


| MATLAB 文件帮助: cv.stereoRectifyUncalibrated | 查看 cv.stereoRectifyUncalibrated 的代码 | Index |
stereoRectifyUncalibrated Computes a rectification transform for an uncalibrated stereo camera
[H1,H2,success] = cv.stereoRectifyUncalibrated(points1, points2, F, imageSize)
[...] = cv.stereoRectifyUncalibrated(..., 'OptionName', optionValue, ...)
{[x1, y1], [x2, y2], ...}
or an Nx2/Nx1x2/1xNx2
numeric array. The same formats as in cv.findFundamentalMat are
supported.points1
.[w,h]
.|points2{i}' * F * points1{i}| > Threshold
) are rejected prior to
computing the homographies. Otherwise,all the points are considered
inliers. default 5The function computes the rectification transformations without knowing
intrinsic parameters of the cameras and their relative position in the
space, which explains the suffix "uncalibrated". Another related difference
from cv.stereoRectify is that the function outputs not the rectification
transformations in the object (3D) space, but the planar perspective
transformations encoded by the homography matrices H1
and H2
. The
function implements the algorithm [Hartley99].
While the algorithm does not need to know the intrinsic parameters of the cameras, it heavily depends on the epipolar geometry. Therefore, if the camera lenses have a significant distortion, it would be better to correct it before computing the fundamental matrix and calling this function. For example, distortion coefficients can be estimated for each head of stereo camera separately by using cv.calibrateCamera. Then, the images can be corrected using cv.undistort, or just the point coordinates can be corrected with cv.undistortPoints.
[Hartley99]
Richard I Hartley. "Theory and practice of projective rectification". International Journal of Computer Vision, 35(2):115-127, 1999.


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| DOSE: |
|
smoked |
Tobacco |
(plant material) |
Smoking shisha in a hookah is a pleasant and relaxing traditional Middle Eastern activity that's becoming more popular in the US these days. But the tobacco used is almost always somewhat weak. I wondered what it would be like to mix in some Nicotiana Rustica (a.k.a. 'Mapacho', 'Aztec' tobacco), the much more potent Tobacco species, to the mild shisha.
After weeks of resisting the temptation, I ordered a Rustica bundle from an online vendor. The 'bundle' is a seven-inch long, one-inch thick solid cylinder (about 70 g) of whole dried Rustica leaves held together by twine. The tobacco is easily crumbled for pipe or cigarette use.
I mixed about one square inch of powdered Rustica with half a bowl of Romman strawberry shisha, and let the mixture sit overnight. The idea is to let the moisture and aromatic essences from the shisha permeate and rehydrate the dry Rustica, thereby making it taste less 'raw'.
This was a small dose. But after only about five minutes of smoking the mixture--we weren't even 1/4 done--my wife and I had a huge buzz. At this point, the buzz is stronger than what I feel after smoking a whole bowl of pure Zaghloul (strong Egyptian molasses tobacco). Towards the end of the hookah session, I could feel that my perception of space was mildly altered. The shadows thrown by the various lights on the walls seemed alive... (This is tobacco???) One thing about Rustica, though, the peak of the experience is short, while the pleasant and mild residual feeling lasts for 2-3 hours.
Upon cleaning the hookah bowl, I found that about 1/2 of the tobacco was still unburnt.
The aroma of the Rustica-shisha mixture seemed to be much better than the Zaghloul-shisha mixture that I've tried several times before. The Romman aroma undeniably covered the smell of the Rustica. (After all, they're both tobacco based.) As for the taste, I could clearly tell that I wasn't smoking pure shisha. The mixture had a distinctly 'herbal' taste along with the strawberry flavor from the Romman, but not unpleasant at all. Definitely palatable--if not as excellent as pure Romman.
Upon waking up the next day, we had a pronounced hangover--tiredness and nervousness for me, as well as some nicotine 'pull', and stomach ache and mild diarrhea for my wife.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


--- layout: page title: "About Me" description: "This is icbcbicc." header-img: "img/post-bg-09.jpg" ---


Before Change
def _assert_tensorflow_version():
try:
// Fail with a clear error in case we are not using a compatible TF version.
with tf.Session(graph=tf.Graph()):
// Even if the file doesn"t exist, this session never gets executed we just
// use it to find out if the string_to_index_table_from_file initializer is
// compatible with tf.Transform.
vocabulary_file = tf.constant("__test_file__")
tf.contrib.lookup.string_to_index_table_from_file(
vocabulary_file=vocabulary_file)
except TypeError:
// Catch the following error from the previous TF version:
// TypeError: Using a `tf.Tensor` as a Python `bool` is not allowed.
// Use `if t is not None:` instead of `if t:` to test if a tensor is defined,
// and use TensorFlow ops such as tf.cond to execute subgraphs conditioned on
// the value of a tensor."
raise RuntimeError(
"Tensorflow version 1.3 is required. Please install the latest version "
"from https://github.com/tensorflow/tensorflow.")
def _asset_files_supported():
try:
_assert_tensorflow_version()
return True
After Change
def _assert_tensorflow_version():
// Fail with a clear error in case we are not using a compatible TF version.
major, minor, _ = tf.__version__.split(".")
if int(major) != 1 or int(minor) < 4:
raise RuntimeError(
"Tensorflow version >= 1.4, < 2 is required. Found (%s). Please "
"install the latest 1.x version from "
"https://github.com/tensorflow/tensorflow. " % tf.__version__)
def _asset_files_supported():
try:
_assert_tensorflow_version()
return True


The <tc:out/>
display an outputtext combined with a label.
To put a label in front of a outputtext, use the label
attribute.
If using labelLayout="skip"
there is still a tag surrounding the output text.
Set compact="true"
to remove the surrounding tag as well.
If the given string to the output field is HTML/XML code, it will be escaped by default.
But you can turn it off with the escape
attribute.
Although the HTML code is not escaped, you can see, that the text is not colored. This is, because the code is sanitzed (see next section).
Sanitize remove HTML/XML-Tags from a given string if not escaped. It can be configured in the tobago-config.xml.
If you want to write your own sanitizer, you have to implement
org.apache.myfaces.tobago.sanitizer.Sanitizer
.
Sanitzing can be deactivated for a component using the sanitize
attribute.
But be careful, because of XSS vulnerability.
Probably you will find no colors here. In that case, the CSP in the browser protectes against inline style.
Moro information about CSP in Tobago find in the


Getting Started
You need a
TF4Micro Motion Kit pre-installed on Arduino. To confirm you're good to go, look for the red, green and blue flashing LED in the middle of the board. If you do not see this, visit
Getting Started Guide.
Connect via Bluetooth
The TF4Micro motion kit communicates with this website via BLE so you can have a wireless experience. Quickly tap the button on your arduino then wait for the red, green and blue LED pattern to return.
Warning: Do not hold the button down as this will clear the board. Click the "connect" button below, then select "TF4Micro Motion Kit" from the dialogue box.


* This beer has not been verified and/or has not provided a value for your quiz questions so hey, no worries on your quiz results... they could be right on or way off...who knows? No matter what you are a beer stud either way!


Docler Solutions products grant a competitive advantage to its customers on the PKI market. Its next generation cutting edge solutions combine the maximum level of security required by the law with state of the art user experience. As a remarkable party of the EU market it can provide qualified certifications, time stamps, and archiving solutions. Besides software development Docler Solutions also performs as PKI advisor and PKI system integrator.


{{{edit-button 'social_media.html' 'section'}}} {{#markdown}} ### What are social media? This content [has been moved to the EMBL-EBI intranet](https://tsc.ebi.ac.uk/article/guidelines-using-social-media-promote-your-work). {{/markdown}}


# Load packages
library(tidyr)
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(ggplot2)
library(lme4)
## Loading required package: Matrix
##
## Attaching package: 'Matrix'
## The following object is masked from 'package:tidyr':
##
## expand
library(lmerTest)
##
## Attaching package: 'lmerTest'
## The following object is masked from 'package:lme4':
##
## lmer
## The following object is masked from 'package:stats':
##
## step
library(knitr)
options(scipen=999)
knitr::opts_chunk$set(cache=TRUE)
# calculate standard errors
se <- function(x, na.rm = FALSE) {
if (na.rm) {
the.SE <- sqrt(var(x,na.rm=TRUE)/length(na.omit(x)))
} else {
the.SE <- sqrt(var(x,na.rm=FALSE)/length(x))
}
return(the.SE)
}
# short summaries for lmerTest
mySummary<-function(lmer_summary) {
coefTable <- lmer_summary$coefficients %>%
round(3) %>%
as.data.frame() %>%
rownames_to_column()
if (ncol(coefTable)>5) {
coefTable <- coefTable %>%
mutate(
sig = ifelse(.[6]<.001, " * * * ",
ifelse(.[6]<.01, " * * ",
ifelse(.[6]<.05, " * ",
ifelse(.[6]<.10, "+", "")))))
}
return(list(lmer_summary$ngrps, kable(coefTable)))
}
Data entered from all white, heterosexual women not using any form of hormonal contraceptives Each row is all data from a single session (i.e. oc_id:date)
data_start <- read.csv("OCMATE_sexdrive_anon.csv", stringsAsFactors = F)
# wide to long format
# effect code partnership status (no = -0.5, partner = 0.5)
data_all <- data_start %>%
gather(question, score, behavior_soi:total_SDI) %>%
mutate(
partner.e = ifelse(block_partner==0, -0.5, ifelse(block_partner==1, 0.5, NA)),
prog = progesterone,
estr = estradiol,
test = testosterone,
cort = cortisol
)
# mean age at start of testing
data_all %>%
group_by(oc_id) %>%
summarise(
min_age = min(age, na.rm = TRUE)
) %>%
ungroup() %>%
group_by() %>%
summarise(
n = n(),
mean_age = mean(min_age, na.rm = TRUE),
sd_age = sd(min_age, na.rm = TRUE)
) %>% t()
## [,1]
## n 375
## mean_age Inf
## sd_age Inf
data_all %>%
group_by(question) %>%
summarise(
N_valid = sum(!is.na(score)),
N_missing = sum(is.na(score)),
mean_score = mean(score, na.rm = TRUE),
sd_score = sd(score, na.rm = TRUE)
)
## # A tibble: 7 x 5
## question N_valid N_missing mean_score sd_score
## <chr> <int> <int> <dbl> <dbl>
## 1 attitude_soi 2189 87 9.22 3.50
## 2 behavior_soi 2140 136 5.74 2.67
## 3 current_sexdrive 2145 131 3.77 1.56
## 4 desire_soi 2168 108 8.06 2.96
## 5 dyadic_SDI 2098 178 35.5 11.9
## 6 solitary_SDI 2099 177 8.63 6.46
## 7 total_SDI 2051 225 44.1 15.7
data_all %>%
group_by(oc_id) %>%
summarise(
sessions = n_distinct(date)
) %>%
group_by(sessions) %>%
summarise(
n = n()
) %>%
spread(sessions, n) %>%
t()
## [,1]
## 1 15
## 2 9
## 3 5
## 4 9
## 5 233
## 6 1
## 7 1
## 8 2
## 9 2
## 10 98
## Exclude observations with EPT missing hormone values
sub_hormones_no_EPT <- data_all %>%
filter(
!is.na(prog) |
!is.na(estr) |
!is.na(test)
)
This is necessary because you can’t calculate subject-centered means with only one data point.
check_single_session <- sub_hormones_no_EPT %>%
group_by(oc_id, block) %>%
summarise(sessions = n_distinct(date)) %>%
ungroup() %>%
filter(sessions == 1)
sub_hormones_multisession <- sub_hormones_no_EPT %>%
anti_join(check_single_session, by=c('oc_id', 'block'))
Remove below bottom sensitivity thresholds for assays (progesterone < 5, estrogen < 0.1), and remove outlier values (+/- 3SD from the mean)
sub_hormones_no_outliers <- sub_hormones_multisession %>%
mutate(
prog = ifelse(prog >= 5, prog, NA),
estr = ifelse(estr >= 0.1, estr, NA),
prog = if_else(prog>mean(prog, na.rm=TRUE) + 3*sd(prog, na.rm=TRUE) |
prog<mean(prog, na.rm=TRUE) - 3*sd(prog, na.rm=TRUE), NA_real_, prog),
estr = ifelse(estr>mean(estr, na.rm=TRUE) + 3*sd(estr, na.rm=TRUE) |
estr<mean(estr, na.rm=TRUE) - 3*sd(estr, na.rm=TRUE), NA, estr),
test = ifelse(test>mean(test, na.rm=TRUE) + 3*sd(test, na.rm=TRUE) |
test<mean(test, na.rm=TRUE) - 3*sd(test, na.rm=TRUE), NA, test),
cort = ifelse(cort>mean(cort, na.rm=TRUE) + 3*sd(cort, na.rm=TRUE) |
cort<mean(cort, na.rm=TRUE) - 3*sd(cort, na.rm=TRUE), NA, cort)
)
qplot(sub_hormones_no_outliers$prog)
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
## Warning: Removed 287 rows containing non-finite values (stat_bin).
# how many included?
check_hormone_exclusions <- sub_hormones_no_outliers %>%
group_by(oc_id, date) %>%
summarise(
e = is.na(mean(estr)),
p = is.na(mean(prog)),
t = is.na(mean(test)),
c = is.na(mean(cort))
) %>%
ungroup() %>%
select(e:c) %>%
gather('hormone','na', e:c) %>%
group_by(hormone) %>%
summarise(
'valid' = n() - sum(na),
'excluded' = sum(na)
) %>%
arrange(hormone)
kable(check_hormone_exclusions)
| hormone | valid | excluded |
|---|---|---|
| c | 2155 | 11 |
| e | 2146 | 20 |
| p | 2125 | 41 |
| t | 2143 | 23 |
check_hormone_exclusions %>%
group_by() %>%
summarise(
total_hormone_samples_valid = sum(valid),
total_hormone_samples_excluded = sum(excluded)
) %>% gather("stat", "value", 1:length(.))
## # A tibble: 2 x 2
## stat value
## <chr> <int>
## 1 total_hormone_samples_valid 8569
## 2 total_hormone_samples_excluded 95
Divide results by a constant to put all hormones on ~ -0.5 to +0.5 scale
# subject-mean-centre hormones
# and divide by a constant to put all hormones on ~ -0.5 to +0.5 scale
data_hormones <- sub_hormones_no_outliers %>%
group_by(oc_id) %>%
mutate(prog.s = (prog-mean(prog, na.rm=TRUE))/400,
estr.s = (estr-mean(estr, na.rm=TRUE))/5,
test.s = (test-mean(test, na.rm=TRUE))/100,
cort.s = (cort-mean(cort, na.rm=TRUE))/0.5,
ep_ratio.s = ((estr/prog)-mean(estr/prog, na.rm=TRUE))/0.075) %>%
ungroup() %>%
as.data.frame()
data_hormones %>%
group_by(oc_id, date, prog.s, estr.s, test.s, cort.s, ep_ratio.s) %>%
summarise(n = n()) %>%
ungroup() %>%
gather("hormone", "value", prog.s:ep_ratio.s) %>%
ggplot(aes(value, colour=hormone)) +
geom_density(alpha=.5) +
scale_x_continuous(limits = c(-1,1))
## Warning: Removed 200 rows containing non-finite values (stat_density).
data_hormones %>%
group_by(oc_id, date, prog, estr, test, cort) %>%
summarise(n = n()) %>%
ungroup() %>%
group_by() %>%
summarise(
mean_prog = mean(prog, na.rm = TRUE),
sd_prog = sd(prog, na.rm = TRUE),
se_prog = se(prog, na.rm = TRUE),
mean_estr = mean(estr, na.rm = TRUE),
sd_estr = sd(estr, na.rm = TRUE),
se_estr = se(estr, na.rm = TRUE),
mean_test = mean(test, na.rm = TRUE),
sd_test = sd(test, na.rm = TRUE),
se_test = se(test, na.rm = TRUE),
mean_cort = mean(cort, na.rm = TRUE),
sd_cort = sd(cort, na.rm = TRUE),
se_cort = se(cort, na.rm = TRUE)
) %>% gather("stat", "value", 1:length(.)) %>%
mutate(value = round(value, 4)) %>%
separate(stat, c("stat", "hormone")) %>%
spread(stat, value)
## # A tibble: 4 x 4
## hormone mean sd se
## <chr> <dbl> <dbl> <dbl>
## 1 cort 0.229 0.164 0.0035
## 2 estr 3.30 1.27 0.0275
## 3 prog 149. 96.2 2.09
## 4 test 87.6 27.2 0.587
Exclude blocks with partner inconsistently reported and women who change partnership status between blocks, only for analyses considering partnership status
data_hormones_partner <- data_hormones %>%
filter(block_partner == "0" | block_partner =="1") %>%
group_by(oc_id) %>%
mutate(pchange = mean(partner.e)) %>%
ungroup() %>%
filter(pchange %in% c(-.5, .5)) %>%
select(-pchange)
library(psych)
data_wide = data_hormones %>% select(oc_id, date, block, estr, prog, test, cort) %>% unique()
data_wide <- data_wide %>% group_by(oc_id) %>%
arrange(oc_id, date) %>%
mutate(timepoint = row_number()) %>%
ungroup() %>% as.data.frame()
multilevel.reliability(data_wide %>% select(oc_id, date, estr), "oc_id", "date", 3, aov = F)
## Warning in cov2cor(C): diag(.) had 0 or NA entries; non-finite result is
## doubtful
##
## Multilevel Generalizability analysis
## Call: multilevel.reliability(x = data_wide %>% select(oc_id, date,
## estr), grp = "oc_id", Time = "date", items = 3, aov = F)
##
## The data had 352 observations taken over 306 time intervals for 1 items.
##
## Alternative estimates of reliability based upon Generalizability theory
##
## RkRn = 1 Generalizability of between person differences averaged over time (time nested within people)
## Rcn = 0.83 Generalizability of within person variations averaged over items (time nested within people)
## The nested components of variance estimated from lme are:
## Variance Percent
## id 0.92 0.548
## id(time) 0.63 0.377
## residual 0.13 0.075
## total 1.68 1.000
##
## To see the ANOVA and alpha by subject, use the short = FALSE option.
## To see the summaries of the ICCs by subject and time, use all=TRUE
## To see specific objects select from the following list:
## ANOVA s.lmer s.lme alpha summary.by.person summary.by.time ICC.by.person ICC.by.time lmer long Call
data_wide %>%
select(oc_id, timepoint, estr) %>%
spread(timepoint, estr) %>%
select(-oc_id) %>%
cor(use='na.or.complete') %>%
corrr::rplot(print_cor = T)
multilevel.reliability(data_wide %>% select(oc_id, date, prog), "oc_id", "date", 3, aov = F)
##
## Multilevel Generalizability analysis
## Call: multilevel.reliability(x = data_wide %>% select(oc_id, date,
## prog), grp = "oc_id", Time = "date", items = 3, aov = F)
##
## The data had 352 observations taken over 306 time intervals for 1 items.
##
## Alternative estimates of reliability based upon Generalizability theory
##
## RkRn = 0.99 Generalizability of between person differences averaged over time (time nested within people)
## Rcn = 0.86 Generalizability of within person variations averaged over items (time nested within people)
## The nested components of variance estimated from lme are:
## Variance Percent
## id 3014 0.324
## id(time) 5392 0.579
## residual 899 0.097
## total 9305 1.000
##
## To see the ANOVA and alpha by subject, use the short = FALSE option.
## To see the summaries of the ICCs by subject and time, use all=TRUE
## To see specific objects select from the following list:
## ANOVA s.lmer s.lme alpha summary.by.person summary.by.time ICC.by.person ICC.by.time lmer long Call
data_wide %>%
select(oc_id, timepoint, prog) %>%
spread(timepoint, prog) %>%
select(-oc_id) %>%
cor(use='na.or.complete') %>%
corrr::rplot(print_cor = T)
multilevel.reliability(data_wide %>% select(oc_id, date, test), "oc_id", "date", 3, aov = F)
## Warning in cov2cor(C): diag(.) had 0 or NA entries; non-finite result is
## doubtful
##
## Multilevel Generalizability analysis
## Call: multilevel.reliability(x = data_wide %>% select(oc_id, date,
## test), grp = "oc_id", Time = "date", items = 3, aov = F)
##
## The data had 352 observations taken over 306 time intervals for 1 items.
##
## Alternative estimates of reliability based upon Generalizability theory
##
## RkRn = 1 Generalizability of between person differences averaged over time (time nested within people)
## Rcn = 0.83 Generalizability of within person variations averaged over items (time nested within people)
## The nested components of variance estimated from lme are:
## Variance Percent
## id 432 0.573
## id(time) 268 0.355
## residual 55 0.072
## total 755 1.000
##
## To see the ANOVA and alpha by subject, use the short = FALSE option.
## To see the summaries of the ICCs by subject and time, use all=TRUE
## To see specific objects select from the following list:
## ANOVA s.lmer s.lme alpha summary.by.person summary.by.time ICC.by.person ICC.by.time lmer long Call
data_wide %>%
select(oc_id, timepoint, test) %>%
spread(timepoint, test) %>%
select(-oc_id) %>%
cor(use='na.or.complete') %>%
corrr::rplot(print_cor = T)
# data_wide %>% select(oc_id, date, test) %>% group_by(oc_id) %>%
# arrange(oc_id, date) %>%
# mutate(
# date = as.Date(date),
# time_since_start = round(as.numeric(date - min(date)))) %>%
# ungroup() %>%
# spread(time_since_start, test) %>%
# select(-oc_id, -date) %>%
# cor(use='na.or.complete') %>%
# corrr::rplot(print_cor = T)
multilevel.reliability(data_wide %>% select(oc_id, date, cort), "oc_id", "date", 3, aov = F)
## Warning in cov2cor(C): diag(.) had 0 or NA entries; non-finite result is
## doubtful
## Warning in cov2cor(C): diag(.) had 0 or NA entries; non-finite result is
## doubtful
##
## Multilevel Generalizability analysis
## Call: multilevel.reliability(x = data_wide %>% select(oc_id, date,
## cort), grp = "oc_id", Time = "date", items = 3, aov = F)
##
## The data had 352 observations taken over 306 time intervals for 1 items.
##
## Alternative estimates of reliability based upon Generalizability theory
##
## RkRn = 1 Generalizability of between person differences averaged over time (time nested within people)
## Rcn = 0.85 Generalizability of within person variations averaged over items (time nested within people)
## The nested components of variance estimated from lme are:
## Variance Percent
## id 0.0123 0.432
## id(time) 0.0137 0.481
## residual 0.0025 0.087
## total 0.0285 1.000
##
## To see the ANOVA and alpha by subject, use the short = FALSE option.
## To see the summaries of the ICCs by subject and time, use all=TRUE
## To see specific objects select from the following list:
## ANOVA s.lmer s.lme alpha summary.by.person summary.by.time ICC.by.person ICC.by.time lmer long Call
data_wide %>%
select(oc_id, timepoint, cort) %>%
spread(timepoint, cort) %>%
select(-oc_id) %>%
cor(use='na.or.complete') %>%
corrr::rplot(print_cor = T)


Forming and norming. We came together as a group of four, with the addition of a fifth member shortly after. Some members of the group I have worked with before and others I haven’t, so norming had to take place. We aren’t aware of the strengths and weaknesses within the team yet but were able to assign tasks quickly.
The session on Github management was useful and team strengthening. Between Software Engineering and Linux I’ve found enjoyment in the command line, I’m trying to use it where possible. I know I can move documents in the cloned repo with a mouse click, I chose to move them with the command line instead. A strong handle on the Github platform makes life easier.
Some storming occurred between another teammate and I.  To be motivated to work together in a team there needs to be a level of professionalism and acceptance of ideas, I took this on board.
The website pages are working nicely together, and we have it hosted up on Github pages. Github pages took some figuring out, but a teammate and I managed to get it working. Jekyll is another story, but for now the website works and most user stories have been fulfilled.
Scrums are a sticking point for the team. I myself have 2 days during the week without classes, so I’m only able to be present for 3 scrums a week (if they happen). A scrum schedule was made up during the second week but it has been difficult to adhere to. Most scrums happen for us in the classroom.
I reviewed a teammates web page and moved it to the reviewer approved column. My task for the sprint has also been moved to this column, it’s reassuring to know that a teammate has seen it and is happy with my work.
Speaking with the client this week let us know that we are on the right track. I was worried about the look of our website, but that is a matter for a future sprint goal. We have working software which is more important.
Agile development makes me see the importance in the little things. Many small steps can lead to a great piece of software. Each step of development is deliberate, but not permanent.
Sprint 2 planning and task assigning on Tuesday. We successfully closed 4 out of 5 of our issues from the previous Sprint, with one issues rolling over to the second Sprint.
During reflection I realized that I had not been attending as many Scrums as I should be, and we weren’t enforcing them well enough as a team. I attended all Scrums possible for the rest of the week.
Git Branches were introduced. I asked many questions so I could be completely clear on how they work and why we need them. I created my own branch for my Sprint 2 issue but have not yet pushed to the master branch. I would like to discuss with my team before this happens.
I’m having a difficult time incorporating Javascript in to the html, it has been a long time since I’ve used it. We haven’t explored Javascript yet in Web 2. A search online yielded a date script that I can use, but highlighting the dates within the table is difficult.
Slightly more scrums taking place. I completed my task on my branch.  I don't think it's enough for a scrum to just happen, we need to convey to each other if we are struggling. A scrum isn't a box to be ticked but instead a moment to share and listen to each other. The task didn't end up getting completed.
Sprint 3 consists of 1 issue, and that is Laravel. Before the first Laravel class I made myself familiar with Laravel and MVC. In Martins explaination I recognized most of the terms he was using. After the class I had a little bit more knowledge on Laravel, but not enough to feel confident in using it. Some members of the team didn't show up for that class. I should have done even more independant study of the software between classes, but ended up mostly winging it for the Thursday class.
I learned how to roll back changes in Github, this was to solve the issue of having Laravel incorrectly integrated with our website.
Sprint 4 involves many new issues presented by the clients. These issues are unique to Laravel. We deployed the website to a remote server. Some files were changed incorrectly requiring more rolling back.
Another Thursday push to fix up some unfinished issues. I came to terms with the fact that I was not familiar enough with Laravel to complete my task.
I learned how to deploy a SSH key for Github, to avoid repetitive login entries. I applied this knowledge again at home for the same purpose. I've been reassigned my previous task that wasn't finished for Sprint 5, this time I will make a greater effort to learn the nuances of Laravel.
Using online resources I was able to create an edit button for each semester.
Sprint 6 consists of adding in minor functionality that were certain we can create. Several other issues have been completed that took a long time to complete. We have a mostly functioning website now. For this sprint I will be implementing the edit button for assignments and papers, considering I now have the knowledge to do so.
I would have liked to create one controller for all three edit buttons, but it proved difficult with naming conventions. These are the only controllers that exist in our project, I feel like we should have used controllers more. We haven't used the the idea of MVC to it's fullest.
Present website to Elise, Martin, Joy and Vaughn. Everyone spoke about a certain part of the website they were involved. I'm pleased that the website worked as we expected.


AUD/USD slumps to fresh multi-week highs near 0.6760 on broad USD strength
by Eren Sengezer- Greenback continues to gather strength despite lack of fundamental drivers.
- US Dollar Index rises above 98.50 on Friday.
- AUD/USD remains on track to post losses for fourth straight week.
After rebounding to 0.6780 area during the European trading hours, the AUD/USD pair lost its traction in the last hour pressured by the broad-based USD strength and slumped to its lowest level since October 17th at 0.6761. As of writing, the pair was trading a couple of pips above that level, adding 0.07% on the day.
USD rallies despite thin market conditions
Although there were no macroeconomic data releases from the US on Friday that could support the greenback, the selling pressure surrounding the major European currencies, especially the EUR and the GBP, helped the USD continue to gather strength against its rivals. As of writing, the US Dollar Index was trading at its highest level in nearly six weeks at 98.50, up 0.17% on a daily basis.
Earlier in the day, Australia's Housing Industry Association reported that New Home Sales in October declined by 0.5% in October to fall short of the market expectation for an increase of 6.6% and weighed on the AUD. Moreover, Private Sector Credit grew only 0.1% in October.
With the stock and bond markets in the US both staying open for half-day on Friday, the pair is likely to stay in its range ahead of the weekend. However, month-end flows into London fix could ramp up the volatility.
Technical levels to watch for
AUD/USD
| Overview | |
|---|---|
| Today last price | 0.6762 |
| Today Daily Change | -0.0006 |
| Today Daily Change % | -0.09 |
| Today daily open | 0.6768 |
| Trends | |
|---|---|
| Daily SMA20 | 0.6829 |
| Daily SMA50 | 0.6805 |
| Daily SMA100 | 0.6824 |
| Daily SMA200 | 0.6924 |
| Levels | |
|---|---|
| Previous Daily High | 0.6779 |
| Previous Daily Low | 0.6759 |
| Previous Weekly High | 0.6835 |
| Previous Weekly Low | 0.678 |
| Previous Monthly High | 0.693 |
| Previous Monthly Low | 0.667 |
| Daily Fibonacci 38.2% | 0.6767 |
| Daily Fibonacci 61.8% | 0.6771 |
| Daily Pivot Point S1 | 0.6758 |
| Daily Pivot Point S2 | 0.6749 |
| Daily Pivot Point S3 | 0.6738 |
| Daily Pivot Point R1 | 0.6778 |
| Daily Pivot Point R2 | 0.6789 |
| Daily Pivot Point R3 | 0.6798 |


Figure 1: The File menu
2.1 Load data ...
Scattering data (y-axis of the graph shown in Figure 3) can be loaded into CORFUNC by choosing the Load data ... item from the File menu (see Figure 1). This will open a file selection tool (see Figure 2) that can be used to select the data file to be loaded. The data file may contain either a single frame or a series of frames in the case of a real-time dataset. The data file must be in either BSL/OTOKO format or in an ASCII format where each frame of data is separated by a comma and each channel by a newline character, i.e.:
(frame 1 channel 1), (frame 2 channel 1), ..., (frame n channel 1)
(frame 1 channel 2), (frame 2 channel 2), ..., (frame n channel 2)
...
(frame 1 channel n), (frame 2 channel n), ..., (frame n channel n)
The maximum field length for each number in the ASCII file is 30. The input ASCII filename must be in the format XXXXXX.TXT or XXXXXX.DAT (where X is any alphanumeric character). Note that CORFUNC is rather particular about the format of the ASCII fields it reads. Each field must start with 2 spaces, followed by the number in scientific (e or E) notation, followed by a comma delimiter. Unusually, CORFUNC expects the exponent to be 3 digits (not including the sign); e.g. 1.23456E-001 or -9.87654E+001. If you are writing your own programs to provide ASCII data as input to CORFUNC the format specifiers to use are:
FORTRAN |
C / C+ |
1000 format(a2,e12.5e3,a) write(1,1000)' ',data,',' |
fprintf(file," %7.5E,",*data); |
A third ASCII format input option (see Appendix A here), whereby both data and q-axis are contained in the same file is in development.
For BSL/OTOKO format files it is important to note
that CORFUNC uses indicator(4) in the header file (see section
1.4.1 of the BSL/OTOKO
manual) to flag the byte-order of the data. If the data was written
on a big-endian machine (mainframe, workstation), this indicator should be set to 0, if it was written
on a little-endian machine (PC), indicator(4) should be set to 1. The files
that are output by CORFUNC will have indicator(4) assigned correctly, but
files written prior to this format change may need to be manually edited
to set the byte-order flag. Alternatively the CCP13 conversion utility XCONV
can be used to swap the byte-order.
2.2 Load q-axis ...
The q-axis (x-axis of the graph shown in Figure 3) is loaded in the same way as the data file. The q-axis file must contain the same number of channels as the data and must contain one frame only (ie. each frame of the data file uses the same q-axis).
Figure 2: The File selection tool
2.3 Data Display
Once the data and the q-axis files have been loaded, the first frame of the data will be displayed (if the Display menu "Data" checkbox is selected) as shown in Figure 3.
Figure 3: SAXS data displayed by CORFUNC
2.4 Next steps
Once the data has been loaded, the user can proceed with the extrapolation
process after first editing the parameters
required as input to this process.


When I say survey, I mean online questionnaires.
First of all, don’t get me wrong. I do like surveys. Actually, I have done few of them in my premature researcher career. And I think that we can keep conducting surveys; but I believe that we now have other good options.
Surveys are good when you have a specific, and small, target population. For example, if you want to know what the rails core developers eat on lunch, survey is definitely the way to go. But, what do you do if you want know what the rails community eat on lunch?
Yes, of course, you can do a survey.
But, there are some concerns that you have to keep in mind: First, survey has its own problems (the subject may lie in a difficult questions, or may remember incorrectly about a long time question, or may not fully understand a question and then give a faulty response). Second, the survey response rate is pretty low. If you are a luck guy, you can get 10% or 15% of response rate. So, if you are targeting the entire rails population, you may draw conclusions from a biased part of it. And finally, you may have to wait for several weeks (months?) until you have collected enough data.
Or you can simply change your data source.
If you are doing computer science research, you have on hand a number of great on line data sources. All you have to do is pick up the right one, use your programming skill to extract the data, and proceed to the analysis.
For example:
-
Do you want to know what rails core developers eat at lunch? Find them on Github and mine their actives on there.
-
Do you want to know if developers are facing problems with the newest rails feature? Mine questions and answers about this topic on StackOverfow.
-
Do you want to know if projects are moving to the newest rails version? Mine ruby/rails projects on Github and/or SourceForge, and parse their source code.
-
Do you want to know if final users are facing energy consumption problems in mobile applications? Mine Google Play comments.
And the list goes on.
You see? Surveys are good. But, you can get a ton of data if you mine such websites.
Nowadays, mining software repositories is not only about software, but human behaviour as well.


Map
class Map
Constants
| GROW_BBOX |
Grow the width or height of the specified geo bbox to fill the map size. Default behaviour. |
| GROW_CANVAS |
Grow the width or height of the map to accommodate the specified geo bbox. |
| SHRINK_BBOX |
Shrink the width or height of the specified geo bounding box to fill the map size. |
| SHRINK_CANVAS |
Shrink the width or height of the map to accommodate the specified geo bounding box. |
| ADJUST_BBOX_WIDTH |
Adjust the width of the specified geo bounding box, leave height and map size unchanged. |
| ADJUST_BBOX_HEIGHT |
Adjust the height of the specified geo bounding box, leave width and map size unchanged. |
| ADJUST_CANVAS_WIDTH |
Adjust the width of the map, leave height and geo bounding box unchanged. |
| ADJUST_CANVAS_HEIGHT |
Adjust the height of the map, leave width and geo bounding box unchanged. |
| RESPECT |
Do nothing, leave map and geo bounding box unchanged. |
Methods
Map constructor.
Load map XML from string.
Load XML map file.
Zoom in or out by a given factor. Positive number zooms in, negative number zooms out.
Set the geographical extent of the map to the combined extents of all active layers.
Set the Map center to x,y location in the coordinates of the pixmap or map surface.
Set Map center to x,y location and zoom in or out.
Set path to search for fonts used in map.
Get base path used for loading map assets.
Set base path used for loading map assets.
Get canvas width.
Set canvas width.
Get canvas height.
Set canvas height.
Resize the canvas to given height and width.
Get spatial reference system.
Set spatial reference system.
Get path to background image.
Set path to background image.
Get background image opacity. 0 is transparent, 1 is opaque.
Set background image opacity. 0 is transparent, 1 is opaque.
Get maximum extent of projected map.
Reset maximum extent.
Get current extent of projected map.
Get map bounds buffer size.
Set map bounds buffer. Used by placement detector to help avoid cutting labels.
Get extent of map with buffer applied.
Get map scale.
Get scale denominator.
Count number of map layers.
Remove a style.
Remove all styles and layers.
Get aspect fix mode.
Set aspect fix mode. See Map constants for valid values.
Details
at line 82
__construct(int $width = 400, int $height = 400, string $srs = '+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs')
Map constructor.
at line 96
loadXmlString(string $xml, bool $strict = null, string $basePath = null)
Load map XML from string.
at line 106
loadXmlFile(string $file, bool $strict = null, string $basePath = null)
Load XML map file.
at line 113
zoom(float $zoom)
Zoom in or out by a given factor. Positive number zooms in, negative number zooms out.
at line 118
zoomAll()
Set the geographical extent of the map to the combined extents of all active layers.
at line 126
pan(int $x, int $y)
Set the Map center to x,y location in the coordinates of the pixmap or map surface.
at line 135
panAndZoom(int $x, int $y, float $zoom)
Set Map center to x,y location and zoom in or out.
at line 143
zoomToBox(Box2D $box)
Set the geographical extent of the map to Mapnik Box2D envelope.
at line 150
registerFonts(string $path)
Set path to search for fonts used in map.
at line 157
string
getBasePath()
Get base path used for loading map assets.
at line 164
setBasePath(string $path)
Set base path used for loading map assets.
at line 171
int
getWidth()
Get canvas width.
at line 178
setWidth(int $width)
Set canvas width.
at line 185
int
getHeight()
Get canvas height.
at line 192
setHeight(int $height)
Set canvas height.
at line 200
resize(int $width, int $height)
Resize the canvas to given height and width.
at line 208
string
getSrs()
Get spatial reference system.
at line 217
setSrs(string $srs)
Set spatial reference system.
at line 224
string
getBackgroundImage()
Get path to background image.
at line 231
setBackgroundImage(string $file)
Set path to background image.
at line 238
float
getBackgroundImageOpacity()
Get background image opacity. 0 is transparent, 1 is opaque.
at line 245
setBackgroundImageOpacity(float $opacity)
Set background image opacity. 0 is transparent, 1 is opaque.
at line 253
Box2D
getMaximumExtent()
Get maximum extent of projected map.
at line 261
setMaximumExtent(Box2D $box)
Set maximum extent of projected map.
at line 266
resetMaximumExtent()
Reset maximum extent.
at line 273
Box2D
getCurrentExtent()
Get current extent of projected map.
at line 280
int
getBufferSize()
Get map bounds buffer size.
at line 287
setBufferSize(int $bufferSize)
Set map bounds buffer. Used by placement detector to help avoid cutting labels.
at line 294
Box2D
getBufferedExtent()
Get extent of map with buffer applied.
at line 302
float
getScale()
Get map scale.
at line 310
float
getScaleDenominator()
Get scale denominator.
at line 317
int
countLayers()
Count number of map layers.
at line 324
removeStyle(string $styleName)
Remove a style.
at line 329
removeAll()
Remove all styles and layers.
at line 337
int
getAspectFixMode()
Get aspect fix mode.
at line 354
setAspectFixMode(int $aspectFixMode)
Set aspect fix mode. See Map constants for valid values.


|
wxExtension
v3.0.2
|
Offers an address range for vi (ex). More...
#include <wx/extension/address.h>
Public Member Functions | |
| wxExAddressRange (wxExEx *ex, int lines=1) | |
| Constructor for a range from current position extending with number of lines. More... | |
| wxExAddressRange (wxExEx *ex, const wxString &range) | |
| Contructor for a range. More... | |
| bool | Delete (bool show_message=true) const |
| Deletes range. | |
| bool | Filter (const wxString &command) const |
| Filters range with command. More... | |
| bool | Indent (bool forward=true) const |
| Indents range. | |
| bool | IsOk () const |
| Is this range ok. | |
| bool | Move (const wxExAddress &destination) const |
| Moves range to destination. | |
| bool | Substitute (const wxString &command) |
| Substitutes range by /pattern/replacement/options in command. More... | |
| bool | Write (const wxString &filename) const |
| Writes range to filename. | |
| bool | Yank () const |
| Yanks range. | |
Offers an address range for vi (ex).
All methods return false if range cannot be related to line numbers.
| wxExAddressRange::wxExAddressRange | ( | wxExEx * | ex, |
| int | lines = 1 |
||
| ) |
Constructor for a range from current position extending with number of lines.
| ex | the ex (or vi) component |
| lines | lines 1 is current line only lines 0 is illegal |
| wxExAddressRange::wxExAddressRange | ( | wxExEx * | ex, |
| const wxString & | range | ||
| ) |
Contructor for a range.
| ex | the ex (or vi) component |
| range | the range, being a string containing:
|
| bool wxExAddressRange::Filter | ( | const wxString & | command | ) | const |
Filters range with command.
The address range is used as input for the command, and the output of the command replaces the address range. For example, the command: :96,99!sort will pass lines 96 through 99 through the sort filter and replace those lines with the output of sort.
| bool wxExAddressRange::Substitute | ( | const wxString & | command | ) |
Substitutes range by /pattern/replacement/options in command.
Pattern might contain:


Ivan du Toit is an eager learner willing to do any task that delivers the most value to the business, large or small. He has a record of keeping track of complex domains while leading high performance teams at companies like Amazon Web Services
Amazon 2020-04-01 —
Focus on migrating our legacy GWT stack to a new React based stack as well as a new design system. I also own the management of our shared component repository and drive adoption of a consistent experience and quality across 8 console teams
Highlights
- Create and drive code sharing by changing org culture towards code sharing and ownership
- Create tools to facility code and design sharing
- Build a analytics solution for our product to drive data driven decisions
- Guide design and migration of our backend infrastructure to a AWS native and serverless solutions
Amazon 2016-09-01 — 2020-04-01
I am the team lead for the team that builds the EC2 management console. My focus is on increasing operational excellence and increasing our delivery velocity. This includes training new team members and driving the development of a DSL and framework to allow us to delivery more value to out customers, faster.
Highlights
- Driving and getting projects delivered across teams
- Steering and delivering a platform for increase delivery in multiple team
- Increased normalized project delivery by 50% YoY for 2 years while the team only grew 10%
- Driving the architectural and team changes required by the rapid scaling we are going though
- Course creator and presenter for first time oncalls
- API and customer experience bar raiser for EC2
Amazon Web Services 2014-04-01 — 2016-08-30
I worked in the User Experience team to build the < href="https://console.aws.amazon.com/ec2/home">EC2 and VPC management consoles. To increase my exposure I am also involved in EC2 API design. Giving back is also important to me by helping newbies in operational excellence 101 training along with mentoring and helping interns
Highlights
- Reducing my teams operation incidents and load by 20% by driving good operational practice
- Training all new on-calls to prepare for their first rotation
- Initiating and delivering two big customer asks without impacting the teams roadmap
Amazon 2013-12-02 — 2014-03-30
I worked in the User Experience team to build a UI testing framework based on CasperJS and PhantomJS.
Highlights
- Learned a lot about testing and the impact of good testing on velocity
- The framework and design is the bases of the testing used 3 years later
University of Pretoria 2012-02-01 — 2012-12-01
I helped students in the COS 151 and COS 110 modules to understand programming practice and complete the course work successfully.
Alfega Technologies 2008-06-01 — 2011-01-30
Web applications development and testing including creating a custom content management system. Lead development on the CMS during the last year.
Highlights
- Built custom CMS solution
University of Pretoria 2011-02-01 — 2013-12-02
Courses
- COS314 - Artificial intelligence
- OBS114 - Business management
- OBS124 - Business management
- WTW114 - Calculus
- WTW128 - Calculus
- ERA284 - Computer architecture
- COS226 - Concurrent systems
- COS212 - Data structures and algorithms
- WTW115 - Discrete structures
- WTW285 - Discrete structures 2
- PHY171 - First course in physics
- COS132 - Imperative programming
- INF214 - Informatics
- INL240 - Information science
- COS151 - Introduction to computer Science
- WTW126 - Linear Algebra
- WTW152 - Mathematical modelling
- COS216 - Netcentric computer systems
- COS110 - Program design: Introduction
- COS222 - Operating systems
- STK110 + STK120 - Statistics
- COS121 - Software modelling and design patterns
Online Courses 2011-02-01 —
Courses
- CS258 - Software Testing(Udacity.com)
- Introduction to Artificial Intelligence at ai-class.com
- Learning how to learn (Coursera)
- Machine Learning by Andrew Ng (Coursera)
Qwiklabs 2014-02-24 —
Courses
- various: https://www.qwiklabs.com/public_profiles/24d1e509-e20a-4dbc-b358-21d67493b5b1
Web Development
- React
- Redux
- ReduxToolkit
- Typescript
- Webpack
- Babel
- HTML
- CSS
- Javascript
- GWT
- AngularJs
- React
- Redux
Infrastructure and Design
- Serverless
- Cloudwatch
- Lambda
- API Gateway
- Stateless service
Devops
- AWS
- Cloudfromation
- Infrastructure as code
Fencing
- sport
Leisure
- Reading
- Boardgames


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/1.2F2.20.3E.200.html ---
How do you prove that 1/2 > 0
?
(a) the norm_num
tactic; (b) it might not be true.
@Debendro Mookerjee This depends on where the division takes place...
1/2 = 0
in the natural numbers.
in the reals
it should be half_pos
iirc
one_half_pos
But the best answer is norm_num
, a generic tactic which will prove any equality or inequality for explicit real numbers.
Last updated: Apr 24 2020 at 19:02 UTC


CME's are what cause an aurora. When a CME is detected on the sun, we typically have between 1-5 days till it hits Earth (if it hits Earth at all).
The prominent space weather authorities seldom agree on an arrival time, much less get it accurately correct. Nethertheless; CME's are the precursor to an Aurora, so if you are on the hunt - it's good tactic to keep an ear/eye out for CME's, and then attempt to hone in on the event as it unfolds.
Source: http://www.swpc.noaa.gov/products/wsa-enlil-solar-wind-prediction


Next: Creating Instances of Classes, Previous: Introduction to Classes, Up: Classes
The macro defclass is used to define a new named class.
The definition of a class includes:
The name of the new class. For newly-defined classes this name is a proper name.
The list of the direct superclasses of the new class.
A set of slot specifiers . Each slot specifier includes the name of the slot and zero or more slot options. A slot option pertains only to a single slot. If a class definition contains two slot specifiers with the same name, an error is signaled.
A set of class options. Each class option pertains to the class as a whole.
The slot options and class options of the defclass form provide mechanisms for the following:
Supplying a default initial value form for a given slot.
Requesting that methods for generic functions be automatically generated for reading or writing slots.
Controlling whether a given slot is shared by all instances of the class or whether each instance of the class has its own slot.
Supplying a set of initialization arguments and initialization argument defaults to be used in instance creation.
Indicating that the metaclass is to be other than the default. The :metaclass option is reserved for future use; an implementation can be extended to make use of the :metaclass option.
Indicating the expected type for the value stored in the slot.
Indicating the documentation string for the slot.
Next: Creating Instances of Classes, Previous: Introduction to Classes, Up: Classes


--- layout: default ---
By using a pragmatic approach together with modern tools and technologies.
Our developers have experience in building multi-million user platforms for startups as well as enterprise software.
We take pride in using an incremental approach to Software Development, delivering fast and regular results to you. This will give you the opportunity to give feedback from very early on and receive the product you love.
Whether is is a Website, a Server application or a Mobile app, we have the right tools and the experience to solve your problem. Furthermore, we also have the entrepreneurial mindset to understand your goals and challenges to deliver the project you want


Before Change
def test_next_batch_stopiter_pass(index):
When "n_epochs" is None it is possible to iterate infinitely.
dsi = index("small")
dsi.reset_iter()
dsi.next_batch(2, n_epochs=None)
dsi.next_batch(2, n_epochs=None)
After Change
dsi = all_indices()
left = set()
right = set(dsi.index)
for _ in range(SIZE**2):
n_b = dsi.next_batch(1, n_epochs=None)
left = left | set(n_b.index)
assert left == right
def test_next_batch_drop_last_false_1(all_indices):
When "drop_last" is False "next_batch" should cycle through index.


THE BABY OF MACON A film review by Michael Brooke Copyright 1995 Michael Brooke
Written and directed by Peter Greenaway. UK/Netherlands/France/Germany, 1993, colour, 122 mins. Starring Julia Ormond, Ralph Fiennes, Jonathan Lacey.
After a pre-release screening of Peter Greenaway's THE COOK, THE THIEF, HIS WIFE AND HER LOVER, the audience (mostly critics and exhibitors) were split down the middle. Some loved it, others thought he'd gone much too far and was looking at a major critical and commercial disaster ("it's Greenaway's 1941", was a phrase I recall). Well, as hindsight reveals, COOK THIEF was Greenaway's biggest hit ever, and the film that finally cemented his reputation on the other side of the Atlantic (helped no doubt by the row over its X rating), and critical opinion was, in the main, favourable.
Well, with THE BABY OF MACON, he really does go too far, and the result is one of the most gratuitously unpleasant and indefensibly nasty films of recent years. Although Greenaway has argued that the violence in THE BABY OF MACON is more than justified by the amount of allegorical interpretations that it throws up (he's even cited the current Bosnian tragedy as inspiration), the film itself doesn't stand up to such scrutiny for a moment, because of Greenaway's perverse determination to make the process of watching the film as much of an ordeal as possible, right from the stuttering plague victim who supplies the scene-setting narration. When he's not treating us to murder, multiple rape and child dismemberment, he's numbing our brains with boredom over the ritualised style that for some reason demands that the majority of the lines in the play-within-the-film are repeated three times (apparently the screenplay was originally intended as an opera libretto, which is easy to believe--imagine how tedious the average opera libretto would be if read out in incantatory tones without the music to underpin it).
COOK THIEF was often equally nasty, but it kept us riveted to the screen, by virtue of the superb performances of Michael Gambon, Helen Mirren and Alan Howard. Despite a cast that includes Ralph Fiennes and Julia Ormond (both do full-frontal nude scenes, if anyone's interested --given that Fiennes is graphically disembowelled shortly afterwards I don't recommend the film as an erotic diversion), the rigid stylisation of THE BABY OF MACON saps their performances of any energy they might have had under a different director. The dialogue, blending the blank verse of the play with Greenaway's attempt at cod-sixteenth-century speech, is excruciatingly awful--he's always had a tin ear for the English language, and this time round he's deprived of Michael Nyman's music (the music he used could have come from any baroque CD compilation chosen at random, for all the effect they have).
The film is, as usual with Greenaway, crammed to bursting with ideas and extra-cinematic references. There are nods to the barbarity and corruption under the aristocratic surface of the Medici clan, there are debates on religion and its attitude towards the miraculous, and there's a full-scale exploration of the age-old theme of illusion versus reality, as the miracle play 'The Baby of Macon' is performed before the Medici court, and the events depicted gradually spill over into real life, culminating in the scene where an actress (Ormond), is actually raped 217 times by her fellow actors (the number is, as with everything in Greenaway, meant to signify something or other).
But despite the fact that this agonisingly protracted gang rape is almost immediately followed by the graphic dismemberment of the baby of the title, by this stage much of the audience is too comatose with boredom to care--one can neither get a kick out of it or be shocked by it, and that's the most shocking thing about the film. There's no centre to give it focus, no Prospero, no Thief. It's two hours of elaborate costumes, scenery and philosophical ideas in desperate search of a reason for their existence.
As always with Greenaway, design and cinematography (Ben Van Os, Jan Roelfs, Sacha Vierny) are stunning--especially considering the relatively low budget. But then they usually are with these collaborators, and the cast is perfectly adequate considering the script they had to put up with. It's a powerful example of auteurism gone mad, of a film-maker so convinced that what he is doing is absolutely right that he removes everything that audiences might be interested in (characters we care about, stories worth following) in the assumption that the power of his vision is enough to keep our eyes riveted to the screen. Well it isn't--and one hopes the colossal commercial failure of THE BABY OF MACON helps get the message across.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Density Functional Theory¶
The purpose of this page is to provide some introduction and a place to get more information. As I write my dissertation, I will begin to slowly increase the amount of information provided, include both references, manuscripts, and some tutorials. I have found that the introduction to DFT has been somewhat frustrating when I started by graduate career because much of the theory is confusing, which might be surprising to some because I have a background in mathematics before getting into computational materials science.


---
layout: post
title: Cry Out to the Lord
date: '2008-11-19T14:38:00.004-06:00'
author: Jabell
tags:
- Psalms
- Bible
- Sermon
- Sovereignty
- Suffering
modified_time: '2009-08-24T19:37:01.488-05:00'
blogger_id: tag:blogger.com,1999:blog-19739956.post-5630555434250906839
blogger_orig_url: http://theabellsix.blogspot.com/2008/11/cry-out-to-lord.html
---
I had the pleasure of preaching at Oakridge Community Church in Stillwater, MN last Sunday. My sermon on Psalm 107 is available for listening. Right click to download.


testdome javascript interview question no.11 (https://www.testdome.com/d/javascript-interview-questions/2)
The following HTML represents a family tree:
Implement the closestRelative function so that when a parent HTML element is passed, the function returns the parent's closest relative whose name matches the relativeName, and obeys the following rules:
- The parent parameter is the HTML element of which the closest relative will be a descendant.
- Each member of the family, including children, may also be a parent to one or more children.
- Children are more closely related to the parent than grandchildren.
- If several children in the same generation have the same name, then the first child in the tree is considered the closer relative.
- If no matching relative is found the function should return null.
For example, the below code should print 'MIKE' for the given family tree:
let parent = document.getElementsByTagName('James')[0];
let relative = closestRelative(parent, 'Mike');
console.log(relative && relative.tagName); // prints MIKE


It is better to be a young June bug than an old bird of paradise and So, we came up with a young new update. Following the monthly release cycles can be hectic sometimes *sigh*.
The changes that you should be seeing for june are,
And last time three more devices joined us S8, s8+ and note 8. With this release Angler will be joining in.
With the next update we are coming up with few more demanded features :P, so please don't request for more feature this time.
Until then, Stay home stay safe.
comments powered by DisqusLordShenron is the lead developer of the project. He is also an IT Engg Student and he loves anime and Japanese pop music. When he is not online he is mostly sleeping or busy with some college work.


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This is a basic template for adding SoundManager to your page.
This page includes the SM2 script and makes a call to add the sound movie.
Optionally, you can include a single inline script element which calls soundManager.createMovie() before the close of <body>.
To disable the debug output, refer to the source of this page which sets soundManager.debugMode to false.


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---
sort_order: 31
tei_id: rdx_191dd.p.idp4683520
annotation_count: 0
images:
small-thumbnail: https://readux.ecds.emory.edu/books/emory:191dd/pages/emory:rfd5k/mini-thumbnail/
json: https://readux.ecds.emory.edu/books/emory:191dd/pages/emory:rfd5k/info/
full: https://readux.ecds.emory.edu/books/emory:191dd/pages/emory:rfd5k/fs/
page: https://readux.ecds.emory.edu/books/emory:191dd/pages/emory:rfd5k/single-page/
thumbnail: https://readux.ecds.emory.edu/books/emory:191dd/pages/emory:rfd5k/thumbnail/
title: Page 31
number: 31
---
{% raw %}ATTEMPT AT RECONCILIATION, E7{% endraw %}
{% raw %}The constable's wife had lingered behind to offer sympathy{% endraw %}
{% raw %}aud protection; and now, when she beheld the misery and{% endraw %}
{% raw %}Helplessness of the poor chUd, her woman's heart bled for{% endraw %}
{% raw %}her.{% endraw %}
{% raw %}" The poor, dear young thing! She shall not be mother¬{% endraw %}
{% raw %}less, nor yet fatherless; for I wiU be a mother to her, and my{% endraw %}
{% raw %}husband shall protect her as a daughter,"{% endraw %}
{% raw %}Mrs. Wyman spoke with that inspiration of eloquence{% endraw %}
{% raw %}which genuine feeling imparts to even the humblest language;{% endraw %}
{% raw %}and from that moment SUas Wyman's wife took a high rank{% endraw %}
{% raw %}in the esteem of all present—a rank which she continued to{% endraw %}
{% raw %}hold by after deeds of goodness; for the friendless and home¬{% endraw %}
{% raw %}less girl was taken immediately to her home and heart, and{% endraw %}
{% raw %}cherished and nourished through a lingering Ulness which{% endraw %}
{% raw %}bad nearly cost her life.{% endraw %}
{% raw %}CHAPTER V{% endraw %}
{% raw %}AN APPARITION.{% endraw %}
{% raw %}That evening, when the surveyor was returning home,{% endraw %}
{% raw %}bealthUy weary, and in anticipation of the usual merry times{% endraw %}
{% raw %}at the shanty, he fell in with the editor, mounted on a pony,{% endraw %}
{% raw %}and pacing easily along in the twilight.{% endraw %}
{% raw %}" Is that you, Ed ? How do you do by this time ?"{% endraw %}
{% raw %}" None of your business," retorted Ed.{% endraw %}
{% raw %}" Come, now, old fellow, don't be cross about a joke.{% endraw %}
{% raw %}Remember, the Bible says, ' let not the sun go down upon{% endraw %}
{% raw %}your wrath;' and it's after sundown now. Give me your{% endraw %}
{% raw %}right hand of fellowship, my friend, and let's forget about{% endraw %}
{% raw %}this matter, until you get a chance to pay us fellows{% endraw %}
{% raw %}back."{% endraw %}
{% raw %}" Pooh ! don't be sentimental. Flag. I suppose I've a right{% endraw %}
{% raw %}to be out of humor if I please; but you need not feel troubled{% endraw %}
{% raw %}about it. As for paying you back, you may be sure I shall{% endraw %}
{% raw %}do that at the first opportunity ; and there'U be time enough{% endraw %}
{% raw %}after that to shake hands."{% endraw %}


Change widows
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Kryvyi Rih, Ukraine
github.com/PaulTheOctopus
<EMAIL_ADDRESS>A focused and quick-learning Software Engineer specializing in creating UI/UX, client-side logic, and creating React Native applications.
Kryvyi Rih State Pedagogical University
Sept. 2014 - June 2018
Bachelor degree in Computer Science
Белый Ветер
June 2017 - July 2017


A Split screen gallery
↓
Scroll down
It's a nice way to tell a story. Works as an image gallery as well.
Doesn't work on iOS because it uses fixed positioning. Fallback is necessary.
But that's life, isn't it?
The end.


ir_datasets
: Clinical TrialsClinical trial information from ClinicalTrials.gov. Used for the Clinical Trials subtasks in TREC Precision Medicine.
A snapshot of ClinicalTrials.gov from April 2017 for use with the clinicaltrials/2017/trec-pm-2017 and clinicaltrials/2017/trec-pm-2018 Clinical Trials subtasks.
Language: en
Example
import ir_datasets
dataset = ir_datasets.load('clinicaltrials/2017')
for doc in dataset.docs_iter():
doc # namedtuple<doc_id, title, condition, summary, detailed_description, eligibility>
The TREC 2017 Precision Medicine clinical trials subtask.
Language: en
Example
import ir_datasets
dataset = ir_datasets.load('clinicaltrials/2017/trec-pm-2017')
for query in dataset.queries_iter():
query # namedtuple<query_id, disease, gene, demographic, other>
Language: en
Example
import ir_datasets
dataset = ir_datasets.load('clinicaltrials/2017/trec-pm-2017')
for doc in dataset.docs_iter():
doc # namedtuple<doc_id, title, condition, summary, detailed_description, eligibility>
Relevance levels
| Rel. | Definition |
|---|---|
| 0 | not relevant |
| 1 | possibly relevant |
| 2 | definitely relevant |
Example
import ir_datasets
dataset = ir_datasets.load('clinicaltrials/2017/trec-pm-2017')
for qrel in dataset.qrels_iter():
qrel # namedtuple<query_id, doc_id, relevance, iteration>
The TREC 2018 Precision Medicine clinical trials subtask.
Language: en
Example
import ir_datasets
dataset = ir_datasets.load('clinicaltrials/2017/trec-pm-2018')
for query in dataset.queries_iter():
query # namedtuple<query_id, disease, gene, demographic>
Language: en
Example
import ir_datasets
dataset = ir_datasets.load('clinicaltrials/2017/trec-pm-2018')
for doc in dataset.docs_iter():
doc # namedtuple<doc_id, title, condition, summary, detailed_description, eligibility>
Relevance levels
| Rel. | Definition |
|---|---|
| 0 | not relevant |
| 1 | possibly relevant |
| 2 | definitely relevant |
Example
import ir_datasets
dataset = ir_datasets.load('clinicaltrials/2017/trec-pm-2018')
for qrel in dataset.qrels_iter():
qrel # namedtuple<query_id, doc_id, relevance, iteration>
A snapshot of ClinicalTrials.gov from May 2019 for use with the clinicaltrials/2019/trec-pm-2019 Clinical Trials subtask.
Language: en
Example
import ir_datasets
dataset = ir_datasets.load('clinicaltrials/2019')
for doc in dataset.docs_iter():
doc # namedtuple<doc_id, title, condition, summary, detailed_description, eligibility>
The TREC 2019 Precision Medicine clinical trials subtask.
Language: en
Example
import ir_datasets
dataset = ir_datasets.load('clinicaltrials/2019/trec-pm-2019')
for query in dataset.queries_iter():
query # namedtuple<query_id, disease, gene, demographic>
Language: en
Example
import ir_datasets
dataset = ir_datasets.load('clinicaltrials/2019/trec-pm-2019')
for doc in dataset.docs_iter():
doc # namedtuple<doc_id, title, condition, summary, detailed_description, eligibility>
Relevance levels
| Rel. | Definition |
|---|---|
| 0 | not relevant |
| 1 | possibly relevant |
| 2 | definitely relevant |
Example
import ir_datasets
dataset = ir_datasets.load('clinicaltrials/2019/trec-pm-2019')
for qrel in dataset.qrels_iter():
qrel # namedtuple<query_id, doc_id, relevance, iteration>


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| index | product name | date added | SKU | MOQ | quanity | price | actions | |
|---|---|---|---|---|---|---|---|---|
| 1. | pencils: HB | 8 October 2018 | #867FGH | 250 | 100 | 100 ksh | edit | delete |
| 2. | pencils: Nataraj | 8 October 2018 | #887FGH | 100 | 1000 | 650 ksh | edit | delete |


Javascript is an object-oriented computer programming language commonly used to create interactive effects within web browsers.
JavaScript operators are used to assign values, compare values, perform arithmetic operations, and more.
JavaScript variables are containers for storing data values.
In computer programming, a naming convention is a set of rules for choosing the character sequence to be used for identifiers which denote variables, types, functions, and other entities in source code and documentation.

JavaScript methods are actions that can be performed on objects.
Arguments are values passed to the function when it is invoked.
Parameters are variables listed as a part of the function definition.
The return statement stops the execution of a function and returns a value from that function.
Chaining allows us to run multiple jQuery methods (on the same element) within a single statement.
JavaScript strings are used for storing and manipulating text.
JavaScript booleans can have one of two values: true or false.
The undefined property indicates that a variable has not been assigned a value.
The NaN property represents "Not-a-Number" value. This property indicates that a value is not a legal number.
The escape() function encodes a string.
An alert box is often used if you want to make sure information comes through to the user.When an alert box pops up, the user will have to click "OK" to proceed.
JavaScript comments can be used to explain JavaScript code, and to make it more readable. JavaScript comments can also be used to prevent execution, when testing alternative code.
jQuery is a lightweight, "write less, do more", JavaScript library. The purpose of jQuery is to make it much easier to use JavaScript on your website.
The name attribute specifies a name for the element. This name attribute can be used to reference the element in a JavaScript.


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Luma Health detects cancellations in your appointment book and fills them with your patients, driving more patients through your practice. Filled appointments means more revenue.
By automating the entire cancellation workflow, Luma Health eliminates manual phone calls, post-it notes, and saves time in the front office. Scheduling staff love it.
Your patients get to see you sooner, increasing their satisfaction and reducing the chance of lost patients and no-shows. See patients sooner. Healthy patients are happy patients.


Grab This Insignia 32-inch Fire TV For Just $99
Amazon has the 32-inch Insignia 720p Fire TV on sale today for just $99. Saving you $80 0ff of its regular price, making this a great time to pick one up.
Now you might be wondering why anyone would want a 720p TV in 2019. Well, it's great to put into a guest bedroom, a second bedroom or even your kids bedroom. And since it is 32-inches, it's a pretty good size to go into a bedroom too.
If you're using it to watch cable, then this resolution is perfectly fine. Since most content on cable is still in 720p (if you're lucky).
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As far as ports go, there are 3 HDMI including 1 with ARC, USB, composite input, antenna/cable input, digital output (optical), audio output, Ethernet. Which is pretty much the standard array of ports for a TV today.
There's also Fire TV built-in here, which has a lot of the apps that you'd expect from a streaming TV platform in 2019. This includes Amazon Prime Video, YouTube, Netflix, Disney+, ESPN+, Hulu and so much more. Just about any app that you can think of, is going to be available on Fire TV. So there's plenty of content to watch on your new TV.
This TV is a really good value actually, especially at $99. Insignia is Best Buy's store brand, so don't expect this to have an incredible picture – plus its only 720p. But for most people, this is going to be a totally capable TV for a number of reasons. It might not be suitable for use in your living room, given its size and resolution, but for a spare bedroom, this is going to be perfect. That way you can offer your guests a TV in their room when they stay at your home.
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You can pick up the 32-inch Insignia 720p Fire TV from Amazon by clicking here.


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