This map illustrates the 54 U.S. regions compared in the One D Scorecard using a pinwheel with five wedges representing five priority areas. The radius of a pinwheel wedge visualizes each regions comprehensive One D Index score, as well as an index score by priority area. Learn more about our priority areas, the individual indicators that drive them, and how we calculate the One D Index in our Methodology.
Roll over any pinwheel to begin exploring the data. Watch annual change using the time slider. Click Download for more information about the displayed data and source information.
This button allows you to download a spreadsheet of data displayed in this visualization.
The displayed data include the following:
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Total Value of Exports | U.S. Census Bureau; U.S. Department of Commerce | MSA | 2009-2011 | |
| Per Capita GDP for Metropolitan Area (GMP) | U.S. Department of Commerce, Bureau of Economic Analysis | MSA | 2009-2011 | |
| Percent Change in High Tech Jobs | Bureau of Labor Statistics, Quarterly Census of Employment and Wages | CBSA | 2000-2009, 2001-2010 | |
| Percent Change in Knowledge Industry Employment | Bureau of Labor Statistics, Quarterly Census of Employment and Wages | CBSA | 2000-2009, 2001-2010 | |
| Per Capita Personal Income | Regional Economic Information System, Bureau of Economic Analysis; U.S. Department of Commerce | CSA/CBSA | 2009-2011 | |
| Number of Technology Patents per 10K People | U.S. Patent & Trademark Office - Electronic Information Products Division, Patent Technology Monitoring Team (PTMT) | MSA | 2009-2011 | |
| Business Tax Climate Index | Tax Foundation | State | 2009-2011 | |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Young & Talented Population, Education Attainment Bachelors+, 25-34 | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Education Attainment Bachelors+, 25+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Population Enrolled in School, 3+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Education Attainment High School+, 18+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Teens Not Enrolled in School, No HS Diploma, Unemployed | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| State Appropriations Per Pupil | NCHEMS Information Center for Higher Education Policymaking and Analysis | State | 2009-2011 | |
| State Expenditures Per Pupil | U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD) | State | 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Air Quality Index, Percent of “Good” Days | Environmental Protection Agency - AirData Air Quality Index Report | CSA/CBSA | 2009-2011 | |
| Percent Change in Population | U.S. Census Bureau, Population Division | CSA/CBSA | 2008-2009, 2009-2010, 2010-2011 | |
| Percent Population Without Health Insurance | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Total Violent Crimes per 100,000 Residents | FBI Uniform Crime Reporting (UCR) Data | MSA | 2009-2011 | |
| Average Volunteer Rate | The Corporation for National and Community Service | MSA | 2009-2011 | |
| Percent of Population neither Overweight nor Obese | Center for Disease Control - Behavioral Risk Factor Surveillance System | MSA | 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Percent Population Foreign Born | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Gini Index | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Income Level by Quintile (Lowest, Second Lowest, and Middle Quintiles) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Income Level by Quintile (Highest and Second Highest Quintiles) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Median Household Income (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Housing Owner Occupied (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Poverty Rate of Children under 18 (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Annual Hours of Delay per Auto Commuter | Bureau of Transportation Statistics, Research and Innovative Technology Administration | Urban Areas | 2009-2011 | |
| Percent of Workers with No Vehicle | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent of Workers 16+ Driving Alone to Work | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Annual Number of Transit Rides Occurring on a Bus, in Thousands | U.S. Department of Transportation, Federal Transit Administration, National Transit Database | Urban Areas | 2009-2011 | |
| Public Transportation Funding, State Dollars per 1,000 Residents | Bureau of Transportation Statistics, Research and Innovative Technology Administration | State | 2009-2010 |
These pinwheels represent the 54 U.S. regions compared in the One D Scorecard. Each pinwheel has five wedges corresponding to five priority areas. The radius of a pinwheel wedge visualizes each regions comprehensive One D Index, as well as an index score by priority area. Learn more about our priority areas, the individual indicators that drive them, and how we calculate the One D Index in our Methodology.
Roll over any pinwheel to begin exploring the data. Organize the regions alphabetically, by their comprehensive One D Index score, or by priority area. Watch annual change using the time slider. Click Download for more information about the displayed data and source information.
This button allows you to download a spreadsheet of data displayed in this visualization.
The displayed data include the following:
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Total Value of Exports | U.S. Census Bureau; U.S. Department of Commerce | MSA | 2009-2011 | |
| Per Capita GDP for Metropolitan Area (GMP) | U.S. Department of Commerce, Bureau of Economic Analysis | MSA | 2009-2011 | |
| Percent Change in High Tech Jobs | Bureau of Labor Statistics, Quarterly Census of Employment and Wages | CBSA | 2000-2009, 2001-2010 | |
| Percent Change in Knowledge Industry Employment | Bureau of Labor Statistics, Quarterly Census of Employment and Wages | CBSA | 2000-2009, 2001-2010 | |
| Per Capita Personal Income | Regional Economic Information System, Bureau of Economic Analysis; U.S. Department of Commerce | CSA/CBSA | 2009-2011 | |
| Number of Technology Patents per 10K People | U.S. Patent & Trademark Office - Electronic Information Products Division, Patent Technology Monitoring Team (PTMT) | MSA | 2009-2011 | |
| Business Tax Climate Index | Tax Foundation | State | 2009-2011 | |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Young & Talented Population, Education Attainment Bachelors+, 25-34 | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Education Attainment Bachelors+, 25+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Population Enrolled in School, 3+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Education Attainment High School+, 18+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Teens Not Enrolled in School, No HS Diploma, Unemployed | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| State Appropriations Per Pupil | NCHEMS Information Center for Higher Education Policymaking and Analysis | State | 2009-2011 | |
| State Expenditures Per Pupil | U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD) | State | 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Air Quality Index, Percent of “Good” Days | Environmental Protection Agency - AirData Air Quality Index Report | CSA/CBSA | 2009-2011 | |
| Percent Change in Population | U.S. Census Bureau, Population Division | CSA/CBSA | 2008-2009, 2009-2010, 2010-2011 | |
| Percent Population Without Health Insurance | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Total Violent Crimes per 100,000 Residents | FBI Uniform Crime Reporting (UCR) Data | MSA | 2009-2011 | |
| Average Volunteer Rate | The Corporation for National and Community Service | MSA | 2009-2011 | |
| Percent of Population neither Overweight nor Obese | Center for Disease Control - Behavioral Risk Factor Surveillance System | MSA | 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Percent Population Foreign Born | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Gini Index | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Income Level by Quintile (Lowest, Second Lowest, and Middle Quintiles) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Income Level by Quintile (Highest and Second Highest Quintiles) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Median Household Income (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Housing Owner Occupied (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Poverty Rate of Children under 18 (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Annual Hours of Delay per Auto Commuter | Bureau of Transportation Statistics, Research and Innovative Technology Administration | Urban Areas | 2009-2011 | |
| Percent of Workers with No Vehicle | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent of Workers 16+ Driving Alone to Work | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Annual Number of Transit Rides Occurring on a Bus, in Thousands | U.S. Department of Transportation, Federal Transit Administration, National Transit Database | Urban Areas | 2009-2011 | |
| Public Transportation Funding, State Dollars per 1,000 Residents | Bureau of Transportation Statistics, Research and Innovative Technology Administration | State | 2009-2010 |
Roll over any slice in the circle to begin exploring the data or choose a region to highlight in the drop down menu below.
This radial heat map displays the 54 U.S. regions compared in the One D Scorecard as slices of the circle, organized alphabetically by geography. Each slice is split into five sections, corresponding to our priority areas. The index score of each priority area is illustrated by the intensity of the color. The regional organization and color variations aim to emphasize spatial patterns among the data. Learn more about our priority areas, the individual indicators that drive them, and how we calculate the One D Index in our Methodology.
Roll over any slice in the circle to begin exploring the data or choose a region to highlight. Watch annual change using the time slider. Click Download for more information about the displayed data and source information.
This button allows you to download a spreadsheet of data displayed in this visualization.
The displayed data include the following:
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Total Value of Exports | U.S. Census Bureau; U.S. Department of Commerce | MSA | 2009-2011 | |
| Per Capita GDP for Metropolitan Area (GMP) | U.S. Department of Commerce, Bureau of Economic Analysis | MSA | 2009-2011 | |
| Percent Change in High Tech Jobs | Bureau of Labor Statistics, Quarterly Census of Employment and Wages | CBSA | 2000-2009, 2001-2010 | |
| Percent Change in Knowledge Industry Employment | Bureau of Labor Statistics, Quarterly Census of Employment and Wages | CBSA | 2000-2009, 2001-2010 | |
| Per Capita Personal Income | Regional Economic Information System, Bureau of Economic Analysis; U.S. Department of Commerce | CSA/CBSA | 2009-2011 | |
| Number of Technology Patents per 10K People | U.S. Patent & Trademark Office - Electronic Information Products Division, Patent Technology Monitoring Team (PTMT) | MSA | 2009-2011 | |
| Business Tax Climate Index | Tax Foundation | State | 2009-2011 | |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Young & Talented Population, Education Attainment Bachelors+, 25-34 | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Education Attainment Bachelors+, 25+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Population Enrolled in School, 3+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Education Attainment High School+, 18+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Teens Not Enrolled in School, No HS Diploma, Unemployed | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| State Appropriations Per Pupil | NCHEMS Information Center for Higher Education Policymaking and Analysis | State | 2009-2011 | |
| State Expenditures Per Pupil | U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD) | State | 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Air Quality Index, Percent of “Good” Days | Environmental Protection Agency - AirData Air Quality Index Report | CSA/CBSA | 2009-2011 | |
| Percent Change in Population | U.S. Census Bureau, Population Division | CSA/CBSA | 2008-2009, 2009-2010, 2010-2011 | |
| Percent Population Without Health Insurance | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Total Violent Crimes per 100,000 Residents | FBI Uniform Crime Reporting (UCR) Data | MSA | 2009-2011 | |
| Average Volunteer Rate | The Corporation for National and Community Service | MSA | 2009-2011 | |
| Percent of Population neither Overweight nor Obese | Center for Disease Control - Behavioral Risk Factor Surveillance System | MSA | 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Percent Population Foreign Born | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Gini Index | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Income Level by Quintile (Lowest, Second Lowest, and Middle Quintiles) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Income Level by Quintile (Highest and Second Highest Quintiles) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Median Household Income (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Housing Owner Occupied (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Poverty Rate of Children under 18 (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Annual Hours of Delay per Auto Commuter | Bureau of Transportation Statistics, Research and Innovative Technology Administration | Urban Areas | 2009-2011 | |
| Percent of Workers with No Vehicle | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent of Workers 16+ Driving Alone to Work | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Annual Number of Transit Rides Occurring on a Bus, in Thousands | U.S. Department of Transportation, Federal Transit Administration, National Transit Database | Urban Areas | 2009-2011 | |
| Public Transportation Funding, State Dollars per 1,000 Residents | Bureau of Transportation Statistics, Research and Innovative Technology Administration | State | 2009-2010 |
This bar graph visualizes how metro Detroit stacks up against 54 other U.S. regions in each of the individual indicators that drive the One D Scorecard and compose the priority areas. Learn more about our priority areas, the individual indicators that drive them, in our Methodology.
Roll over any bar to begin exploring the data or choose a region to highlight. Organize by priority area, choose an indicator to graph, and re-order based on region or data values. Watch annual change using the time slider.
Learn whether an indicator is positively or negatively scored in the One D Index based on the + or - symbols in each label. Click Download for more information about the displayed data and source information.
This button allows you to download a spreadsheet of data displayed in this visualization.
The displayed data include the following:
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Total Value of Exports | U.S. Census Bureau; U.S. Department of Commerce | MSA | 2009-2011 | |
| Per Capita GDP for Metropolitan Area (GMP) | U.S. Department of Commerce, Bureau of Economic Analysis | MSA | 2009-2011 | |
| Percent Change in High Tech Jobs | Bureau of Labor Statistics, Quarterly Census of Employment and Wages | CBSA | 2000-2009, 2001-2010 | |
| Percent Change in Knowledge Industry Employment | Bureau of Labor Statistics, Quarterly Census of Employment and Wages | CBSA | 2000-2009, 2001-2010 | |
| Per Capita Personal Income | Regional Economic Information System, Bureau of Economic Analysis; U.S. Department of Commerce | CSA/CBSA | 2009-2011 | |
| Number of Technology Patents per 10K People | U.S. Patent & Trademark Office - Electronic Information Products Division, Patent Technology Monitoring Team (PTMT) | MSA | 2009-2011 | |
| Business Tax Climate Index | Tax Foundation | State | 2009-2011 | |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Young & Talented Population, Education Attainment Bachelors+, 25-34 | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Education Attainment Bachelors+, 25+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Population Enrolled in School, 3+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Education Attainment High School+, 18+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Teens Not Enrolled in School, No HS Diploma, Unemployed | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| State Appropriations Per Pupil | NCHEMS Information Center for Higher Education Policymaking and Analysis | State | 2009-2011 | |
| State Expenditures Per Pupil | U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD) | State | 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Air Quality Index, Percent of “Good” Days | Environmental Protection Agency - AirData Air Quality Index Report | CSA/CBSA | 2009-2011 | |
| Percent Change in Population | U.S. Census Bureau, Population Division | CSA/CBSA | 2008-2009, 2009-2010, 2010-2011 | |
| Percent Population Without Health Insurance | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Total Violent Crimes per 100,000 Residents | FBI Uniform Crime Reporting (UCR) Data | MSA | 2009-2011 | |
| Average Volunteer Rate | The Corporation for National and Community Service | MSA | 2009-2011 | |
| Percent of Population neither Overweight nor Obese | Center for Disease Control - Behavioral Risk Factor Surveillance System | MSA | 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Percent Population Foreign Born | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Gini Index | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Income Level by Quintile (Lowest, Second Lowest, and Middle Quintiles) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Income Level by Quintile (Highest and Second Highest Quintiles) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Median Household Income (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Housing Owner Occupied (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Poverty Rate of Children under 18 (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Annual Hours of Delay per Auto Commuter | Bureau of Transportation Statistics, Research and Innovative Technology Administration | Urban Areas | 2009-2011 | |
| Percent of Workers with No Vehicle | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent of Workers 16+ Driving Alone to Work | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Annual Number of Transit Rides Occurring on a Bus, in Thousands | U.S. Department of Transportation, Federal Transit Administration, National Transit Database | Urban Areas | 2009-2011 | |
| Public Transportation Funding, State Dollars per 1,000 Residents | Bureau of Transportation Statistics, Research and Innovative Technology Administration | State | 2009-2010 |
Roll over any slice in the circle to begin exploring the data or choose an indicator to highlight in the drop down menu below.
This chart displays the individual indicators that comprise each priority area and drive the One D Scorecard. The value of an indicator is illustrated by the intensity of the color, coded to its priority area. The layout of the chart aims to illustrate how we calculate the One D Index; each priority area makes up an equal portion of the total circle, and the individual indicators within a priority area are equally weighted slices, with the exception of indicators reported by race when a total slice is split into sectors. See whether an indicator is positively or negatively scored in the One D Index based on the + or - symbols in each label. Learn more about our priority areas, the individual indicators that drive them, and how we calculate the One D Index in our Methodology.
Roll over any slice in the circle to begin exploring the data or choose an individual indicator to highlight. Change the region to compare data. Watch annual change using the time slider. Click Download for more information about the displayed data and source information.
This button allows you to download a spreadsheet of data displayed in this visualization.
The displayed data include the following:
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Total Value of Exports | U.S. Census Bureau; U.S. Department of Commerce | MSA | 2009-2011 | |
| Per Capita GDP for Metropolitan Area (GMP) | U.S. Department of Commerce, Bureau of Economic Analysis | MSA | 2009-2011 | |
| Percent Change in High Tech Jobs | Bureau of Labor Statistics, Quarterly Census of Employment and Wages | CBSA | 2000-2009, 2001-2010 | |
| Percent Change in Knowledge Industry Employment | Bureau of Labor Statistics, Quarterly Census of Employment and Wages | CBSA | 2000-2009, 2001-2010 | |
| Per Capita Personal Income | Regional Economic Information System, Bureau of Economic Analysis; U.S. Department of Commerce | CSA/CBSA | 2009-2011 | |
| Number of Technology Patents per 10K People | U.S. Patent & Trademark Office - Electronic Information Products Division, Patent Technology Monitoring Team (PTMT) | MSA | 2009-2011 | |
| Business Tax Climate Index | Tax Foundation | State | 2009-2011 | |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Young & Talented Population, Education Attainment Bachelors+, 25-34 | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Education Attainment Bachelors+, 25+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Population Enrolled in School, 3+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Education Attainment High School+, 18+ | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Teens Not Enrolled in School, No HS Diploma, Unemployed | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| State Appropriations Per Pupil | NCHEMS Information Center for Higher Education Policymaking and Analysis | State | 2009-2011 | |
| State Expenditures Per Pupil | U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD) | State | 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Air Quality Index, Percent of “Good” Days | Environmental Protection Agency - AirData Air Quality Index Report | CSA/CBSA | 2009-2011 | |
| Percent Change in Population | U.S. Census Bureau, Population Division | CSA/CBSA | 2008-2009, 2009-2010, 2010-2011 | |
| Percent Population Without Health Insurance | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Total Violent Crimes per 100,000 Residents | FBI Uniform Crime Reporting (UCR) Data | MSA | 2009-2011 | |
| Average Volunteer Rate | The Corporation for National and Community Service | MSA | 2009-2011 | |
| Percent of Population neither Overweight nor Obese | Center for Disease Control - Behavioral Risk Factor Surveillance System | MSA | 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Percent Population Foreign Born | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Gini Index | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Income Level by Quintile (Lowest, Second Lowest, and Middle Quintiles) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Income Level by Quintile (Highest and Second Highest Quintiles) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Median Household Income (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent Housing Owner Occupied (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Poverty Rate of Children under 18 (by Race) | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 |
| Indicator | Data Source | Unit of Geography | Years Available | Index Score |
|---|---|---|---|---|
| Annual Hours of Delay per Auto Commuter | Bureau of Transportation Statistics, Research and Innovative Technology Administration | Urban Areas | 2009-2011 | |
| Percent of Workers with No Vehicle | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Percent of Workers 16+ Driving Alone to Work | U.S. Census Bureau, American Community Survey 3-year Estimates | CSA/CBSA | 2007-2009, 2008-2010, 2009-2011 | |
| Annual Number of Transit Rides Occurring on a Bus, in Thousands | U.S. Department of Transportation, Federal Transit Administration, National Transit Database | Urban Areas | 2009-2011 | |
| Public Transportation Funding, State Dollars per 1,000 Residents | Bureau of Transportation Statistics, Research and Innovative Technology Administration | State | 2009-2010 |


MISSISSIPPI MASALA A film review by Jules Damji Copyright 1992 Jules Damji
Many East-Indian Americans of first (or even second) generation will identify with Mina's character, played by Sarita Choudry, the London-born actress, in this movie. Her need to assert her freedom and individuality, her curious desire to explore and engage with other people and cultures, her eagerness to be accepted by the society around her, beside her own community, and her social discomfort with exaggerated religious and social rituals with the extended family, is an inevitable aspect of all immigrant-children's "Americaness," whatever that means.
But her identity crises, though not deeply explored in the movie, were even more complex; she was a true "masala": born and partly raised in Kampala, Uganda, where her childhood suffered an indelible trauma of uprootedness which marked her psyche, she was then raised in England, and finally in Greenwood, Miss. Her early childhood in African country exposed her to people of other colour, other races -- people of darker complexion than hers: Africans. Like her father, she did not subscribe to "colour attitudes" that are so pervasive in India and among Indian immigrants in this country. So having an affair (or even being attracted to) African-American was not a taboo for her, as it was for the Indian community in Miss.
Ms. Nair could have developed Mina's complex character to reveal some of these deep anxieties that arise and grip children of such up-bringing and up-rootedness and dis-placement. That aspect of Mina's psyche would have been valuable or of worthy to this group, and any young immigrant in general. But the "identity crises" was not the sole theme of this movie, only one of many. To Ms. Nair, other themes -- "prejudice" and "homelessness" and "dispossession" -- were more important, needed in-depth analysis and portrayal through other characters in the movie.
The ramifications of inter-racial romance between Demeritus, played by handsome and charming Denzel Washington, and Mina explore the racial prejudice of Indians in Greenwood against African-Americans. And the rude awakenings of Asians in Uganda (and East Africa in general) is another form of prejudice based on skin colour is examined in the movie.
As a couple, Denzel and Sarita are absolutely gorgeous -- a match made in heaven. They both exude what the papers on this side of U.S. scream: "sweet sexuality." And no doubt about that!
But far more important, at least for me, was the theme of "homelessness," of the notion of "home," a plot or patch of land, landscape that one identifies with, one proudly calls his "home." That theme, undoubtedly, was driven home quite forcefully and vividly by the character Jay, Mina's father, a Ugandan Indian lawyer, played by Roshan Seth. It touched and moved me profoundly. His (and Demeritus) was the only character fully developed in the movie. Nair takes us into his life in Uganda, where his forefathers came from India as indentured workers to build the railways from the coast to the interior for the British; she relays to us -- through flashbacks -- his obsession with Uganda, his "home," his country of birth, to which he had dedicated his life as a prominent lawyer; his anger and bitterness of being uprooted and expelled penniless from his "home"; his relationship with his African brother Okello; his identification with people and landscape of Uganda; and finally his helplessness and despair as an exile in Greenwood, always subject to subtle taunts by the extended Indian family of motel owners. All this was superbly and intensely acted by Seth. For those who have seen MY BEAUTIFUL LAUNDERETTE, he played Omar's (the British-Asian boy and Daniel Day-Lewis's lover) bed-ridden, vodka-drinking, embittered father.
Coming from the same part of world, I could identify with Jay very much, and also with Mina's affinity towards African-Americans (or Black people in general). The lengthy prologue to the movie of Uganda brought back some tearful and heart-wrenching memories of African landscape and people left behind. For Indian-Africans who have immigrated to this country, after having leaved in Africa for more than three generations, the battle for their children's identity problems takes on even more complicated turn. Mina is a case in point!
Where was she really from?
India? Not really.
Africa? Yes, but..
America or England? Well, ...?
(By the way, Mira Nair is married to a Ugandan Indian named Mahmoud, who is a professor of political science at the Makerere University in Kampala. Many aspects of Jay's character and experience in Uganda and in exile in Greenwood were extracted from her husband's book "From Citizen to Refugee." And the serene and beautiful house on the green-rolling hills in Kampala, the site of Mina's childhood, is their present home of residence.
I have met Mahmoud on more than one occasion in Tanzania (my birthplace), where he was in exile, teaching at the university. He is a formidable spokesman).
The movie did indeed portray the stereo-types of Indian motel owners in this country and their prejudice and "narrow-mindedness" about other cultures and people. There are some caustic and bitting true elements in this portrayal; some funny, some rather damaging.
Notwithstanding that, I think she did a good job in delivering her intended themes. The end is touching, from Jay's perspective:"home is where love is."
[Not a little patch of landscape in some remote part of the world, but something closer to heart].
But for Mina, the whole open world is out there waiting for her to explore and find her niche, along with Demeritus, of course. Like her father, who found his "home" in his wife's unrelenting support and love, she too finds her "home" in Demeritus's love -- at least one so infers from the ending.
So get off your *&^%$ing workstations and go see the movie!!!
/jules
-- Jules S. Damji INTERNET : jsd<EMAIL_ADDRESS>Sun Microsystems Inc. LOCAL<EMAIL_ADDRESS>.
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


{% extends "base.html" %} {% block body_class %}500{% endblock %} {% block head_title %}500 Internal Server Error{% endblock %} {% block content %}
My apologies, but an error occurred while trying to serve this page.
Our admins have been notified of this event, and it should be fixed as soon as possible.
{% endblock %}


Name
Toggle Annotation
Image Controls
Contrast
Brightness
Color Channel
Patient Information
Text
Text
Text
Text
User Name
Text1
Text1
String:String
String:String
String:String
Agree
Disagree
Print Report
Text Text
Some Text Here


| Class | Description |
|---|---|
| AESEngine |
an implementation of the AES (Rijndael), from FIPS-197.
|
| AESFastEngine |
an implementation of the AES (Rijndael), from FIPS-197.
|
| AESLightEngine |
an implementation of the AES (Rijndael), from FIPS-197.
|
| AESWrapEngine |
an implementation of the AES Key Wrapper from the NIST Key Wrap
Specification.
|
| AESWrapPadEngine | |
| BlowfishEngine |
A class that provides Blowfish key encryption operations,
such as encoding data and generating keys.
|
| CamelliaEngine |
Camellia - based on RFC 3713.
|
| CamelliaLightEngine |
Camellia - based on RFC 3713, smaller implementation, about half the size of CamelliaEngine.
|
| CamelliaWrapEngine |
An implementation of the Camellia key wrapper based on RFC 3657/RFC 3394.
|
| CAST5Engine |
A class that provides CAST key encryption operations,
such as encoding data and generating keys.
|
| CAST6Engine |
A class that provides CAST6 key encryption operations,
such as encoding data and generating keys.
|
| ChaChaEngine |
Implementation of Daniel J.
|
| CramerShoupCiphertext |
Class, holding Cramer Shoup ciphertexts (u1, u2, e, v)
|
| CramerShoupCoreEngine |
Essentially the Cramer-Shoup encryption / decryption algorithms according to
"A practical public key cryptosystem provably secure against adaptive chosen ciphertext attack."
|
| DESedeEngine |
a class that provides a basic DESede (or Triple DES) engine.
|
| DESedeWrapEngine |
Wrap keys according to
RFC 3217.
|
| DESEngine |
a class that provides a basic DES engine.
|
| ElGamalEngine |
this does your basic ElGamal algorithm.
|
| GOST28147Engine |
implementation of GOST 28147-89
|
| Grain128Engine |
Implementation of Martin Hell's, Thomas Johansson's and Willi Meier's stream
cipher, Grain-128.
|
| Grainv1Engine |
Implementation of Martin Hell's, Thomas Johansson's and Willi Meier's stream
cipher, Grain v1.
|
| HC128Engine |
HC-128 is a software-efficient stream cipher created by Hongjun Wu.
|
| HC256Engine |
HC-256 is a software-efficient stream cipher created by Hongjun Wu.
|
| IDEAEngine |
A class that provides a basic International Data Encryption Algorithm (IDEA) engine.
|
| IESEngine |
Support class for constructing integrated encryption ciphers
for doing basic message exchanges on top of key agreement ciphers.
|
| ISAACEngine |
Implementation of Bob Jenkin's ISAAC (Indirection Shift Accumulate Add and Count).
|
| NaccacheSternEngine |
NaccacheStern Engine.
|
| NoekeonEngine |
A Noekeon engine, using direct-key mode.
|
| NullEngine |
The no-op engine that just copies bytes through, irrespective of whether encrypting and decrypting.
|
| OldIESEngine |
Support class for constructing integrated encryption ciphers
for doing basic message exchanges on top of key agreement ciphers.
|
| RC2Engine |
an implementation of RC2 as described in RFC 2268
"A Description of the RC2(r) Encryption Algorithm" R.
|
| RC2WrapEngine |
Wrap keys according to RFC 3217 - RC2 mechanism
|
| RC4Engine | |
| RC532Engine |
The specification for RC5 came from the
RC5 Encryption Algorithm
publication in RSA CryptoBytes, Spring of 1995. |
| RC564Engine |
The specification for RC5 came from the
RC5 Encryption Algorithm
publication in RSA CryptoBytes, Spring of 1995. |
| RC6Engine |
An RC6 engine.
|
| RFC3211WrapEngine |
an implementation of the RFC 3211 Key Wrap
Specification.
|
| RFC3394WrapEngine |
an implementation of the AES Key Wrapper from the NIST Key Wrap
Specification as described in RFC 3394.
|
| RFC5649WrapEngine |
An implementation of the AES Key Wrap with Padding specification
as described in RFC 5649.
|
| RijndaelEngine |
an implementation of Rijndael, based on the documentation and reference implementation
by Paulo Barreto, Vincent Rijmen, for v2.0 August '99.
|
| RSABlindedEngine |
this does your basic RSA algorithm with blinding
|
| RSABlindingEngine |
This does your basic RSA Chaum's blinding and unblinding as outlined in
"Handbook of Applied Cryptography", page 475.
|
| RSAEngine |
this does your basic RSA algorithm.
|
| Salsa20Engine |
Implementation of Daniel J.
|
| SEEDEngine |
Implementation of the SEED algorithm as described in RFC 4009
|
| SEEDWrapEngine |
An implementation of the SEED key wrapper based on RFC 4010/RFC 3394.
|
| SerpentEngine |
Serpent is a 128-bit 32-round block cipher with variable key lengths,
including 128, 192 and 256 bit keys conjectured to be at least as
secure as three-key triple-DES.
|
| SerpentEngineBase | |
| Shacal2Engine |
Block cipher Shacal2, designed by Helena Handschuh and David Naccache,
based on hash function SHA-256,
using SHA-256-Initialization-Values as data and SHA-256-Data as key.
|
| SkipjackEngine |
a class that provides a basic SKIPJACK engine.
|
| SM4Engine |
SM4 Block Cipher - SM4 is a 128 bit block cipher with a 128 bit key.
|
| TEAEngine |
An TEA engine.
|
| ThreefishEngine |
Implementation of the Threefish tweakable large block cipher in 256, 512 and 1024 bit block
sizes.
|
| TnepresEngine |
Tnepres is a 128-bit 32-round block cipher with variable key lengths,
including 128, 192 and 256 bit keys conjectured to be at least as
secure as three-key triple-DES.
|
| TwofishEngine |
A class that provides Twofish encryption operations.
|
| VMPCEngine | |
| VMPCKSA3Engine | |
| XSalsa20Engine |
Implementation of Daniel J.
|
| XTEAEngine |
An XTEA engine.
|
| Exception | Description |
|---|---|
| CramerShoupCoreEngine.CramerShoupCiphertextException |
CS exception for wrong cipher-texts
|


2 Exploring the patient table
The patient table is a core part of the eICU-CRD and contains all information related to tracking patient unit stays. The table also contains patient demographics and hospital-level information. The uniquePid column identifies a single patient across multiple stays. Let’s look at a single uniquepid.
| uniquepid | gender | age | ethnicity | hospitaldischargestatus |
|---|---|---|---|---|
| 002-34851 | Female | 70 | Caucasian | Expired |
| 002-33870 | Female | 52 | Caucasian | Alive |
| 002-33870 | Female | 52 | Caucasian | Alive |
| 002-5276 | Male | 68 | Caucasian | Alive |
| 002-37665 | Male | 71 | Caucasian | Alive |
| 002-37665 | Male | 71 | Caucasian | Alive |
Age, gender and ethnicity are the demographic factors of the patient’s table. We assume that people with age of more than 89 have 90 years old. Hospital discharge status is another important variable of the table. After leaving the hospital, patients are either dead or alive. We want to explore the relationship between the patient’s hospital discharge status and their demographic factors:
2.1 Age
In this section, we can see the number of patient in different age category as well as their hospital discharge status. As you can see, most of the patients are alive but one should notice that the alive patients may go back to the hospital again. As we expected, by increasing age, mortality also increases.
2.2 Gender
In this section, we want to compare the mortality rate in different Genders. As you can see, the rate of mortality in men is higher than women in very old and very young age.
2.3 Ethnicity
Ethnicity is another important factor to study. The goal of studying the ethnicity is to know the number of patients at each category and their mortality ratio. As you can see, Caucasians and African American are the two biggest categories and include almost 90 % of the data. We will investigate these two categories further in third chapter to see their morality rate in different ages.


--- layout: speaker title: Hugh Rawlinson date: "2013-05-06 02:12:52 +0200" author: ukmadlz version: 1.0.0 name: Hugh Rawlinson image: speaker/hugh_rawlinson.png job: Music Computerer company: desc: Music Computerer github: hughrawlinson twitter: hughrawlinson website: ---
Having recently finished a degree in Music Computing from Goldsmiths, University of London, Hugh is a contributor to Meyda, a javascript web audio feature extraction library, as well as node-web-audio-api. Interests include Music Information Retrieval, computational musical performance, and ephemeral audio technology.
Talk contents not yet finalised


@* * Copyright 2018 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.apidocumentation.config._ @import uk.gov.hmrc.apidocumentation.models._ @import uk.gov.hmrc.apidocumentation.controllers @import include._ @(pageAttributes: PageAttributes)(implicit request: play.api.mvc.Request[Any], applicationConfig: ApplicationConfig, messages: Messages) @apiMain(pageAttributes) {
To maintain optimal performance of the environment, all test data in the sandbox is cleared down on the first and third Saturday of each month at around midnight GMT. After this time you will need to create new test users and data.
}


WEEK 6 - Case Studies ECO & ET¶
Death by Demo¶
The subjects include:
cloud activity continues to GROW
Dinesh, Trenton
next week we will do a STAC/sat-search and xarray using the landsat-pds bucket - PUBLIC, PUBLIC PUBLIC - some buckets are almost Public
Mike Oimoen, Logan etc
CHS sponsored science
Steffi Kagone working on getting her own CHS Custom space - Just like Neal’s
Kagone modeled 150 years of Delaware River - now wants to do CONUS.
Scientists think big - Science has the answers!
Danielson, Postma, Neal et al have Tensorflow experience!
Doucette encourages cloud AI/ML and python at EROS.
move science into the cloud - I agree obviously
Kelcy made the comment that AI/ML is a field where we should share knowledge across projects
A CHS Data Lake is needed
Tony offers to alpha-test Q-GIS and arcGIS in the cloud. - stay tuned …
Tony frightens Neal with a half-backed cost analyzer Notebook
Aaron Friez and Cole K. are planning advanced Pangeo/DASK classes in CHS - using this class as a springboard. - You should attend when it pops up on the calendar,
phenology - dashboards are nifty.
machine learning with Tensorflow - what kind of shoe is this?
evaporation and transpiration for 150 flippin years – NO SWEAT!
orchestration - its not just for clarinets and violins - DEFER
how to cheat at AWS S3 bucketology with import fsspec
AMAZED at how Many items in this python eco-system boil down to one-line of code.
Birds-of-a-feather groupings¶
Phenology¶
https://afternoon-crag-97068.herokuapp.com/
Points
python app written in Plotly Dash
phenology based on landcover
interactive - good responsiveness
serverless(CATTLE) - heroku, binder, AWS lambda - AWS Batch(quasi)
more to come.
next week a discussion on HLS - NDVI Dev/Logan/Mike
Creating NDVI with Landsat 8 - public data sets and Xarray
Tensorflow¶
http://<IP_ADDRESS>:8080/tree/tensorflow-tutorials
Run from a container on the mini-pangeo
Training example shoes and shirts
The sandal looks like a sneaker to me
Movie sentiment analysis
tensorflow for dummies - on kbr - skillport - free free free
Machine learning research to be actively funded by USGS - Sunne has the contact -
Matthew Kuckuk - Reno Nevada
/opt/logan/tools/tensorflow$ more Makefile
docker run -it -p 8080:8888 tensorflow/tensorflow:nightly-jupyter
Case Studies Eco - Data Wrangling¶
RAPV2
HLS
MRLZ - unzip pipeline
Consider this web app: https://rangelands.app
poor mans version here: http://<IP_ADDRESS>/user/butzer/tree/opt/logan/00-notebooks/02-eco-viz
Data Pipelines and Orchestration¶
Docker Uses¶
demo cog generation from sapv2 tif
demo unzip convert from .img and make cog mrlc-BITv3
both of these from custom docker containers and simple docker heuristics


{% extends "layout.html" %} {% block content %}
IBEIS (Image Based Ecological Information System) is a Python-based application that facilitates detection and identification of animals in images
For more information: http://ibeis.org/
To view the code repository: https://github.com/Erotemic/ibeis
To view the documentation: http://erotemic.github.io/ibeis/


Overall
Boulder
Denver
FortCollins
What's Poppin' In Denver!
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Restaurants
Outdoor
Art/Entertainment
Nightlife


{% extends 'CodeCrewSiteApp/base.html' %}
{% load static %}
{% block header %}
Home
{% endblock %}
{% block sidebar %}
Donate Now & Make Computer Science Education Accessible to More Students and Schools
Making a donation means we are able to mentor more kids in computer science, equip them with 21st century tech
skills, and prepare them for futures in the tech industry.
{% endblock sidebar %}
{% block content %}
Discover Our After School Programs
& Get Registered Today
Our programs expose students to producing technology and provide them in-depth training that keeps them interested and engaged across a continuum of subjects and grade levels.
{% endblock %}
{% block footer %}
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Once.upon is an eternal communal fable in the browser;
an Elysium of incorporeal narrators; a glocal commons borne of the yarn.
Each visiting teller in turn records hirself speaking a sentence.
As it is spoken, the contribution is transcribed and saved, then the baton
is passed to the next in queue. Visitors may listen back from any point.
Your browser doesn't support recording. If you'd like to add to the story,
please use Google Chrome.
A project by Ashlin Aronin and Andre Brown.
This story is being created by many people.
-
Use the scroll wheel or your mouse to see what’s happened so far.
Click on a sentence to hear the story from that point.
-
Anyone can listen to the story at one time, but there can only be one
active contributor. When your status is 'ready' and the record button is
pulsating, you are record enabled. When you're ready, press the record button
and start speaking into the headset. You will see your speech transcribed
automatically in the record panel, and anyone else logged on to the site
will be able to watch your contribution in real time.
-
Once.upon will stop recording automatically after you finish speaking.

This is to encourage quick turnover so many people can participate.
-
Enjoy!


This is going to take a while (probably a couple minutes). If you hit refresh, it's going to mess everything all up


Welcome to the BTI360 JavaScript Lab. This is meant to serve as both an introduction for developers new to JavaScript and a refresher for experienced JavaScript developers.
This content of this application will guide you through various parts of JavaScript development, from vanilla JS to AngularJS. Each page has code examples, helpful tips and warnings that we've gathered over the years and a live coding section. In the right colum of each page, there is example code in an embedded editor from CSSDeck. You can edit the code in the editor and the output will automatically display the resulting page.
Additionally, this application is built using AngularJS and is completely open source. Feel free to browse through the code on Github using the provided button. We hope that the code of this application can show you some best practices for creating Angular apps, including several other tools such as GulpJS, SCSS, Live Reload, JSHint, JSCS and Github Pages. We intend for this application to be updated periodically as new concepts are introduced. So, if you notice any issues or have any suggestions for how we can improve anything, please let us know by opening an issue on Github.
To get started with the lab, simply click on one of the links in the navigation.


org.apache.shiro.authz.permission
Interface RolePermissionResolver
public interface RolePermissionResolver
A RolePermissionResolver resolves a String value and converts it into a Collection of
Permission
instances.
In some cases a Realm
my only be able to return a list of roles. This
component allows an application to resolve the roles into permissions.
resolvePermissionsInRole
Collection<Permission> resolvePermissionsInRole(String roleString)
- Resolves a Collection of Permissions based on the given String representation.
- Parameters:
roleString
- the String representation of a role name to resolve.
- Returns:
- a Collection of Permissions based on the given String representation.
Copyright © 2004-2014 The Apache Software Foundation. All Rights Reserved.


How to watch UFC Fight Night 163: Moscow on iPhone, iPad, and Apple TV
by Michael PotuckUFC Fight Night 163: Moscow is slated for November 9 starting from 11 a.m. ET at the CSKA Arena. Read along below for how to watch the fights on iPhone, iPad, and Apple TV.
UFC fights are broadcast/streamed by ESPN, and you’ll need an ESPN+ subscription to watch them on an Apple device. Some of the big fights are PPV in addition to needing ESPN+, while events like Fight Night are usually included with the $5/month ESPN+ subscription. That’s the case for Fight Night 163: Moscow.
Here’s how ESPN+ describes its UFC coverage:
Experience UFC like never before with exclusive live Fight Nights, hundreds of fight cards, UFC original shows, in-depth analysis, real-time statistics, and the best from the UFC catalog.
Fight Night 163: Moscow sees Zabit vs. Kattar as the main event, and the other five fights are:
- Volkov vs. Hardy
- Imadaev vs. Roberts
- Ibragimov vs. Herman
- Emeev vs. Martin
- Gamzatov vs. Abreu
How to watch UFC Fight Night 163: Moscow on iPhone, iPad, and Apple TV
If you’re not an ESPN+ customer yet:
- Sign up for ESPN+ for $5 (per month) to get access to UFC Fight Night 163
- Use the ESPN app on any Apple device to watch on November 9 (log in with your ESPN+ account)
- Head to the ESPN+ tab in the app, look for Fight Night (or you can use search as shown below)
Alternately, you can buy access to UFC Fight Night 163: Moscow on a Mac or PC here (you can watch on any supported device).
If you’re already an ESPN+ subscriber:
- Open the ESPN app on your Apple Device
- Head to the ESPN+ tab
- Swipe down and look for UFC Fight Night 163: Moscow under Top Upcoming Events
- Tap UFC Fight Night
- Alternately, use the search option
Read more 9to5Mac tutorials:
AirPods Pro:
- Shopping for AirPods Pro? Here’s how to find available stock without waiting weeks
- How to clean your dirty AirPods Pro and charging case
- AirPods Pro: How to customize Force Sensor controls
- AirPods Pro: How to use Ear Tip Fit Test and change tips
- AirPods Pro: How to use noise cancellation and Transparency mode
- AirPods Pro vs Powerbeats Pro: How specs, size, price, and more compare
- What’s the difference in AirPods and AirPods Pro? Here’s how size, price, and features compare
iPhone & iPad:
- How to remove Memoji Stickers from your iPhone keyboard
- How to use the Deep Fusion iPhone 11 and iPhone 11 Pro camera feature
- iOS 13: How to use custom fonts on iPhone and iPad
- How to edit messages on iPhone and iPad with two-finger tap
- How to use the ‘Remind when messaging’ feature on iPhone, iPad, and Mac
- How to make subtasks and sublists with Reminders in iOS 13 and macOS Catalina
- How to get started with and use ‘Sign in with Apple’ on iPhone, iPad, and Mac
- How to use the ultra wide camera on iPhone 11 and iPhone 11 Pro
macOS Catalina:
- How to check iPad and Mac Sidecar requirements
- How to get your Mac ready for macOS Catalina
- How to create a bootable macOS Catalina 10.15 USB install drive [Video]
- How to sync iPhone and iPad to your Mac in macOS Catalina without iTunes
FTC: We use income earning auto affiliate links. More.


{{define "restrictors-gr-edit-form"}}
Restrictor Type:
| Center | {{template "widget-waypoint-or-pos" nlldict "sb_center" . }} |
| Side KM | |
| Altitude | Min:, Max: (in feet; zero for no limit) |
| Exclusion | (invert logic; flights must not intersect) |
| Start | {{template "widget-waypoint-or-pos" nlldict "vp_start" . }} |
| End | {{template "widget-waypoint-or-pos" nlldict "vp_end" . }} |
| Altitude | Min:, Max: (in feet; zero for no limit) |
| Exclusion | (invert logic; flights must not intersect) |
Add vertices in order, clockwise. Concavity is OK. After you save, view it on the map to see what it looks like.
Vertex 1: {{template "widget-waypoint-or-pos" nlldict "poly_p1" . }}
Vertex 2: {{template "widget-waypoint-or-pos" nlldict "poly_p2" . }}
Vertex 3: {{template "widget-waypoint-or-pos" nlldict "poly_p3" . }}
Vertex 4: {{template "widget-waypoint-or-pos" nlldict "poly_p4" . }}
Vertex 5: {{template "widget-waypoint-or-pos" nlldict "poly_p5" . }}
Vertex 6: {{template "widget-waypoint-or-pos" nlldict "poly_p6" . }}
Vertex 7: {{template "widget-waypoint-or-pos" nlldict "poly_p7" . }}
Vertex 8: {{template "widget-waypoint-or-pos" nlldict "poly_p8" . }}
Vertex 9: {{template "widget-waypoint-or-pos" nlldict "poly_p9" . }}
Altitude limits: , to (in feet; zero for no limit)
Exclusion logic: (invert logic; flights must not intersect)


Your clan is no longer accepting new members. All 18 clan members have been registered! You must be a common soldier.


A Wonderful Friday Evening Coding
Hi DBC Accountability Fellow-members,
My name is Chandler Smith.
Sorry for the late start. Wasn't able to attend Intro-Session, the reschedule was yesterday, and wasn't assigned to an Accountability Group.
I had all of Week_1 work accomplished last Sunday. Working on Week_2 right now.
My learning style is multimodal.
I plan on going to work, spending time with my family, and spending time each day on completing Phase_0 work, as well as continuing to learn coding through additional sites.
I love w3schools as a coding site. I love DevTools!
I love NetFlix as a great example of good layout with B quality movies... :)
I am currently in Capistrano Beach, CA.
I look forward to working with all of you!
Sincerely,
Chandler
Take a moment to reflect on reading other people's responses regarding their fears about DBC.
I found it awesome that most people felt free to share their fears so openly. After reading a few, I thought, "Wow, these are some really neat people! These are really relatable people. I am looking forward to working with them!"
How did that make you feel? Did you feel better, worse, or something else all together?
I felt better. It is always nice to know that you are in a group of people that can relate.
How has your experience this week influenced your feelings? All feelings are welcome and ok. Just take a moment to think about it and write it down.
I know that together we are stronger.
I know that together we can succeed.


[gecode-users] installation
penche21 penche21
penche21 at hotmail.com
Mon Mar 19 03:03:46 CET 2007
Hi,
- I was using GecodeJ via ssh using a server that gecode has already been
installed. Everything was fine until I used VarMatrix<IntVar>. Then I
started to get "cannot find symbol symbol : class VarMatrix" error. I dont
know which do we need extra imports to use VarMatrix?
So I decided to install gecodeJ on my windows XP.
- I have Jdk ready and cygwin. I installed gecodeJ.msi and downloaded
gecodej1.0.1.zip.
Under cygwin I export the path where it is installed;
export LD_LIBRARY_PATH=/cygdrive/c/Program\
Files/Gecode/lib:$LD_LIBRARY_PATH
. Then to javac with -cp options I cant see where should be the
GecodeJava.jar file. It is not in gecodej1.0.1.zip neither in the installed
Gecode folder.
. Is there anything more I need to make gecodeJ run.
. any comments on the error of VarMatrix.
Cheers,
penche
_________________________________________________________________
Yagmura yakalanmamak için sadece semsiyenize degil, MSN hava durumuna
güvenin! http://www.msn.com.tr/havadurumu/
More information about the gecode-users
mailing list


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Build a server
| 8/26/2019 | 468 kB
test
Build a stack...
caption
- fast
- big
Here's how...
- Setup funding...
- Run code...
command
setup
See How to run for more...
donate
caution


Advice for employers
Make sure your workers self-isolate
You should help your employees self-isolate if they have coronavirus symptoms and are waiting for a test result, or if they are a member of the same household as someone who has symptoms or has tested positive for COVID-19.
You have a legal requirement to ensure your employees self-isolate if they:
- have tested positive for coronavirus
- have been in close recent contact with someone who has tested positive and received a notification to self-isolate from NHS Test and Trace. You should not share the identity of a worker who has tested positive with other workers.
Where workers are asked to self-isolate because they are a close contact of a positive case
If a worker is asked by NHS Test and Trace to self-isolate, you have a legal duty to not knowingly allow them to come into work, or encourage them to work anywhere other than their place of self-isolation.
If a worker is asked by NHS Test and Trace to self-isolate, you should:
- continue to communicate with them and provide support
- allow them to work from home if they remain well and it is practicable to do so, for example, by finding alternative work that can be completed at home
If a worker cannot work from home, you:
- must ensure they receive Statutory Sick Pay (SSP) provided they meet the eligibility criteria
- may consider giving them the option to use their paid leave days if they prefer
Employees in self-isolation are entitled to SSP for every day they are in isolation, as long as they meet the eligibility conditions.
You may be able to reclaim SSP. NHS Test and Trace will provide evidence to your worker that they have been told to self-isolate. You should ask them to follow the instructions on getting an isolation note if you require evidence. You may need this evidence to reclaim SSP.
If contacted by NHS Test and Trace, your worker will need to self-isolate for 10 days from when they last came into contact with the positive case. They will not be able to leave self-isolation early even if they are not symptomatic.
They should not take a test if they are not symptomatic as this could generate a false negative and they may then go on to develop symptoms in the following days.
Page last reviewed: 21 December 2020
Next review due: 21 December 2020


{% extends "base.html" %} {% block content %} Congratulations, you've booking the room {{ booking.room }} from {{ booking.time.lower }} to {{ booking.time.upper }}. {% endblock %}


Hamlet DH Lesson
ESSENTIAL QUESTIONS
- What do Hamlet's soliloquies tell us about the plot?
- What do they tell us about Hamlet's character?
- What might they tell us about readers' sense of connection with this character? How does this compare with the ways in which readers are led to interpret Laertes, Horatio, and Ophelia, among others?
- How might we use text analysis to explore issues of gender, power, and agency?
STAGE 1
- Discuss responses to the homework prompt
- Complete prior knowledge assessment
- Download all the texts in the Hamlet folder for analysis from GitHub. The first set of files we will analyze are Hamlet's soliloquies, which are labeled as follows: [Act #][Scene #]HamSol.txt. For those who are less familiar with GitHub and downloading individual folders (subdirectories) from a repository, you can install a Chrome extension that makes it easy. Here are the instructions. Then answer the following questions in small groups:
- What do you notice about the composition of the documents?
- Why might the text have been prepared in this way?
- What kinds of questions might you be able to ask and answer given this partitioning of the play?
- How else could the play be partitioned?
- Open a browser window and navigate to Voyant Tools
- Upload Hamlet's 7 soliloquies.
STAGE 2
- Review Cirrus (the Word Cloud):
- What words jump out at you?
- Do any words surprise you? What is surprising about them?
- What do the most frequently used words mean in the context of the soliloquies and in the context of the play?
- Visit this tutorial (slides 10-12) to learn more about options and Word Cloud uses.
- Next take a look at the Trends tool
- How were these words chosen for inclusion in Trends?
- What kind of information do the trend lines, x- and y- axes convey?
- What does this graph tell you about the soliloquies? About the role of the soliloquies in the play? The play overall?
- What kind of information do the Summary and Reader panels reveal?
- How might you use the information in the Summary panel to come to conclusions about the soliloquies?
- To explore further, open the Document Terms tool
- Explain how to: (1) change tool panels; (2) add and remove columns; and (3) sort columns.
- What is TF-IDF? And what does it tell us about our text(s)?
- Interested in learning more about TF-IDF? Check out: https://deeplearning4j.org/bagofwords-tf-idf
- KWIC
- For what is KWIC an acronym?
- Choose 3 different keywords to view. What does the surrounding context of each of these words tell you about how Shakespeare is defining and using them?
- Collocates
- There are 3 types of co-occurrence. Which does Voyant seem to use?
- What is the window? Why is it important? What does changing it do?
- What do collocates tell us in this context?
STAGE 3
- Compare insights from the soliloquies with an analysis of the play, split into scenes.
- You can either download the scenes from github and upload them into Voyant or just go straight to the pre-loaded corpus of scenes
- How does removing character names change your interpretation? Do different things stand out?
- Which words are most indicative of important moments in the plot and turning points? How did you decide?
- Which tools might be used to identify these words and moments?
- Write 2 paragraphs that summarize what text analysis has revealed about Hamlet's soliloquies and about the play, more generally?
- At the bottom of the 2 paragraphs, please include any questions you have about text analysis at this point or specific methods/tools you would like to explore.


{% extends "base_generic.html" %}
{% block title %}User Login/Sign Up{% endblock %}
{% block content %}
SELECT LOGIN TYPE
STAFF
STUDENT
STAFF SIGNUP
STAFF LOGIN
{% csrf_token %}
User Name
Password
Login
*Staff loggings: Enter User name and password, then
double
click the submit button
STAFF SIGNUP
{% csrf_token %}
Username:
Email:
Password:
Confirm Password:
Sign Up Requirements:
*......sign-up with maximum of eight chracters long username
*......a valid and unique email is compulsory for new account!
*......create your unique strong passward!
*......confirm your unique passward in the next box!
*......a valid
ref number
from admin must be provided to complete the registration!
*......the
ref number
provided is invalid, contact the admin for valid ref No.
*......please enter a valid email address!
PASSWORD ERROR!.
Password length must be at least nine characters.
passward should contain upper and lower case letter (A-z).
Password should contain digit betwwen (0-9).
Password should contain any of the special characters (!@#$%^&*()_-).
Strong Password
Passward is not matched.
Password is too weak!
Submit
STUDENT LOGIN
{% csrf_token %}
Student Name
Student ID
Login
*Student loggings: Enter full name, Identification Number and
double
click the submit button
{% endblock %}


Survey Form
How do you view the value of a college degree today?
For 4-year college grads/recent grads
* Name:
* Email:
* Age:
What is your degree classification?
Select an option
Bachelor of Arts and Sciences
Bachelor of Science
Describe your current employment status?
Select an option
Looking
Part Time
Full Time
Business owner
Homemaker
* How likely are you to recommend a 4-year college degree as a career path today?
Absolutely
Maybe
Never
* What would be your advice to a high school senior today?
Certificate Program
Trade School
Associate Degree
Start Your Own Business
What college majors would you recommend to someone interested in pursuing a bachelor’s degree?
(Check all that apply):
Computer Science
Biology
Economics
Government/Political Science
Communications
Nursing
Art
Psychology
Business
Any Comments?
Submit


Deals: Amazon Discounts 2019 MacBook Pro and MacBook Air to New Low Prices (Starting at $900)
by Mitchel BroussardAmazon today opened up new sales on the latest models of the MacBook Pro and MacBook Air, with discounts starting as low as $899.99 for the MacBook Air and $1,099.99 for the MacBook Pro.
Note: MacRumors is an affiliate partner with Amazon. When you click a link and make a purchase, we may receive a small payment, which helps us keep the site running.
Across the board, all models listed below are the lowest price that we have ever tracked among the major Apple resellers online. Be sure to head to Amazon to check out the discounts before they expire.
13-Inch MacBook Pro
For the MacBook Pro sale, Amazon is discounting the new models from Mid 2019, all focused on 13-inch sizes. Best Buy is matching the prices of these models, and offers a few discounts on alternate color options as well.
- 1.4GHz, 8GB RAM, 128GB SSD, Space Gray - $1,099.99, down from $1,299.00 ($199 off)
- 1.4GHz, 8GB RAM, 256GB SSD, Space Gray - $1,299.99, down from $1,499.00 ($199 off)
- 2.4GHz, 8GB RAM, 512GB SSD, Silver - $1,699.99, down from $1,999.00 ($299 off)
13-Inch MacBook Air
You can also save on a few models of the latest MacBook Air, starting as low as $899.99 for the 128GB configuration.
- 1.6GHz, 8GB RAM, 128GB, Gold - $899.99, down from $1,099.00 ($199 off)
- 1.6GHz, 8GB RAM, 128GB, Space Gray - $899.99, down from $1,099.00 ($199 off)
- 1.6GHz, 8GB RAM, 256GB, Silver - $1,099.99, down from $1,299.00 ($199 off)
Visit our full Deals Roundup to stay up to date with all of the latest Apple-related sales.


DEAR FRIEND Aintree liverpool,1.301RD United Kindom Attns. TEL+447011133420, FAX+448704783512 I am Mr.mathew colin taylor, the brother of charles Taylor,former Liberian President.I wish to contact you for help to safeguard some funds into your account, presently the funds is in the security vault in Europe. He deposited a huge sum of money (Â£15.5million Pounds Sterling) I need a foreigner who has or create a new account in foreign conutry .your co-operation is important to make thia wor fine Read the story: http://news.amnesty. org/index/ENGAFR440092006 http://news.bbc.co. uk/1/hi/world/africa/4858500.stm . I am presently in London England, When i hear from you, i will open up a full detailed information. Regards, Mr,mathew colin .


#SpaceShark
Choose your object and look where the arrow is pointing.
Object:
{% for object in objects %}
{{ object }}
{% else %}
Unbelievable. No objects here so far
{% endfor %}
I want to type something in
Device ID:
Access token:
Your location:


1. How can you define Bootsrap?
2. Is Bootstrap compatible with all modern browsers?
3. Where do you link JavaScript?
4. Which of the following is not a data type
5. Is it possible to break JavaScript Code into several lines?
6. Which symbol is used for comments in Javascript?
7. The following are ways of involving a JavaScript code into HTML. Which one is not?
8. Explain how you can submit a form using JavaScript.
:


Star Screen Awards 2019 Winners' List; Ranveer Singh, Alia Bhatt, Ayushmann Khurrana Bag Awards
by Waiz AhmedThe Star Screen Awards 2019 was held yesterday (December 8) in Mumbai. The prestigious award ceremony was graced by the biggest stars and dignitaries of the film industry. The tinsel town fraternity was gathered together to celebrate and honour the best of cinema from 2019. The list of winners of Star Screen Awards 2019 are as follows
Best Film - Critics Choice
Article 15
Best Film - Popular
Gully Boy
Best Actor Male - Popular
Ranveer Singh – Gully Boy
Best Actor Female - Popular
Alia Bhatt – Gully Boy
Best Director - Critics Choice
Anubhav Sinha – Article 15
Best Director - Popular
Zoya Akhtar – Gully Boy
Best Supporting Actor (Male)
Gulshan Devaiah – Mard Ko Dard Nahi Hota
Best Supporting Actor (Female)
Kamini Kaushal – Kabir Singh
Baat Nayi Award
Lukka Chuppi
Best Actor - Critics Choice (Male)
Ayushmann Khurrana
Best Actor - Critics Choice (Female)
Bhumi Pednekar and Taapsee Pannu
Most Promising Actor (Male)
Siddhant Chaturvedi – Gully Boy
Most Promising Actor (Female)
Sara Ali Khan – Kedarnath
Best Actor In Comic Role (Female)
Yami Gautam – Bala
Most Promising Debut Director
Aditya Dhar – Uri: The Surgical Strike
Best Playback Singer (Male)
Sachet Tandon – Bekhyali (Kabir Singh)
Best Playback Singer (Female)
Shreya Ghoshal – Kalank
Best Music
Kabir Singh and Gully Boy
Best Lyrics
Apna Time Aayega – Gully Boy
Best Dialogues
Gully Boy
Best Story
Article 15
Best Action
War
Best Editing
War
Best Cinematography
Gully Boy
Best Choreography
War – Ghungharoo
Best Production Design
Gully Boy
Lifetime Achievement Award
Prem Chopra


| DOSE: |
seeds |
transdermal |
Datura |
(extract) |
| |
seeds |
oral |
Datura |
(extract) |
The fallowing is an entry from the watchers fabled lab note book:
DO NOT DO THESE PROCESSES THIS CAN BE HAZARDOUS TO YOUR HEALTH DUE TO THE
TYPE OF ALKALOIDS INVOLVED!!!!
EXTRACTION OF DANTRA ALKALOIDS via an oil solvent. (from JIMSONWEED)
STEP #1
Ground seeds into a fine pulp, used 1500 mg seed. (Approx. 200 seeds.)
STEP #2
Placed 1500 mg seed pulp into test tube.
STEP #3
Poured enough olive oil into tube to make the entire contents of test tube = 7 ml (this includes seed pulp and olive oil.)
STEP #4
Shook contents of test tube.
STEP #5
Let sit for 2 days.
Note: after shaking the mixture for just a few seconds the oil became
cloudy and after shaking 3 more times and letting sit for 20 min. the oil
darkened considerably.
Notes on the next day-day1
After the extract sits over night the seed pulp settles to the bottom of the oil, the oil will look clear, but there seems to be another oil layer
settled on top of the seed pulp which is dark brown in color, it is possible that this layer of liquid could be the water content of the seeds or it could be an oil contained in the seeds with a density greater than the olive oil used for this extraction, when shaken these two liquids mix and will color the olive oil a darkish brown color.
Notes on day 2:
The olive oil had a darkish color to it, the lower liquid layer was not as
evident as it was the day before but was still there.
STEP #6
Used vacuum filtration to filter the oil from the seed pulp. (you will need
to apply a vacuum or this step will take forever!)
STEP #7
Washed test tube with 2ml fresh olive oil and vacuum filtered this through the seed pulp.
Note: end product = 6ml
It was a cloudy yellow color.
Use of this product:
Applied 2ml of oil to any area where there is a high concentration blood
vessel near the surface of the skin.  There was slight
disorientation, slight visual hallucinations, and slight audio
hallucination. After 9 1/2 hours there is still noticeable effects with some visual effects still noticeable, disorientation has cleared up but a
noticeable detachment to reality is still event, during this time there was
a noticeable dryness of the mouth but not really uncomfortable.
Day after application.
There were some slight effects the fallowing day for approx. 6 hours then
subsided.
EXTRACTION OF DANTRA (JIMSON WEED) via. METHYL ALCOHOL.
STEP #1
Ground 2 grams dantra seed in mortar and pestle.
STEP #2
Placed seed pulp into test tube.
STEP #3
Used pipette to place 6mL methyl alcohol into test tube with seed pulp. (the entire contents of the test tube should be 9mL this includes alcohol and seed pulp.)
STEP #4
Shook very well.
Note 1: methanol soon turned a clear yellowish color.
Note 2: end of day one there was only a slight darkening of the alcohol.
Note 3: end of day two there was no change in the appearance of the
methanol.
STEP #4
Filtered methanol from seed pulp. (gravity filtration will work fine for
this).
STEP #5
Poured 2 mL. methanol through seed pulp to wash any remaining alkaloids from the seeds.
NOTE: Upon evaporation of methanol I was left with a golden yellow
crystalline powder, (be sure to evaporate methanol to complete dryness it is very poisonous). The total product of this extraction is 80 mg.
USAGE:
10:40 pm Ingested 8mg. Extract orally (taste was slightly bitter but mildly
so).
11:05 pm can feel the onset of alkaloids. (onset of effects are consistent
with the use of the topical preparation prepared with olive oil).
11:30 pm delirious effects are increasingly noticeable, very slight visual
effects becoming noticeable also slight dryness of mouth with no pupil
dilation present.
1:15 am effect of alkaloid has leveled out with only a slight dry mouth,
slight disorientation, slight visual effects, and pupils slightly dilated
but reactive.
7:30 am effects only slightly noticeable put still present, vision has
almost returned to normal.
11:30 am effects have subsided.
DOSAGE CALCULATION (USE AT OWN RISK)
8mg......................mild effects.
10mg....................mild to moderate effects.
12mg....................moderate effects.
14mg....................moderate to heavy effects.
16mg....................heavy to dangerous effects.
By: THE WATCHER
FROM: the chemistry works
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.


The most evident requirement for internationalization support is the ability to display messages in several languages. This is built into Oxygen and it is one of the core services.
In every given moment an Oxygen application has a current language. This is the language of the interface, and all messages are automatically translated to this language. This is defined with the function Oxygen::SetLang(), or, if Oxygen is used as a controller, by the lang query string parameter. See the chapter on Setup for more info on setting up the languages.
All messages are served by the Lemma class, which can retrieve the translation from the linked dictionaries (again, this is described in Setup).
The constructor of the Lemma is overloaded:
$lemma1 = new Lemma(); // anonynmous empty lemma $lemma2 = new Lemma('Title'); // named empty lemma $lemma3 = new Lemma('en','Title','fr','Titre'); // anonymous lemma $lemma4 = new Lemma('Title','en','Title','fr','Titre'); // named lemma
However, in the majority of the cases, the lemma is retrieved by the Lemma::Pick() function:
$lemma = oxy::txtTitle(); // retrieves a lemma from the dictionaries
The __toString() method is overridden, and so each lemma can be directly reduced to a string which will be the translation to the current language. This is why the following code works:
echo oxy::txtTitle(); // Lemma will be converted to a string first. The conversion depends on the current language.
In most of the cases a Lemma can be used instead of a string. As a rule of thumb, there should be no hard codes string messages anywhere in the code. Instead, all messages should be stored in a dictionary and should be retrieved from there. This holds true even for single-language applications, because the dictionary serves as a centralised repository of all messages and makes review and editing easier.
The dictionary is built from a series of XML files (see the chapter on Setup). Each dictionary contains a number of lemmas. This is a simple example:
As a conversion, all messages begin with a capital letter. In addition, all Msg* lemmas should contain the punctuation, such as the question mark in the above example.
Sometimes, it is necessary to use placeholders inside the translation of a message, because the value varies. This can be done with the use of sprintf's format specifiers.
The translation of these lemmas should be done with the use of the Sprintf method:
echo oxy::txtMsgNumberOfBooksByAuthor()->Sprintf( $author , $number_of_books );


A PROJECT OF | PHYSICIANS FOR SOCIAL RESPONSIBILITY - LOS ANGELES MADE POSSIBLE BY | THE CALIFORNIA ENDOWMENT


Implement in 'R' interactive Circos-like visualizations of genomic data, to map information such as genetic variants, genomic fusions and aberrations to a circular genome, as proposed by the 'JavaScript' library 'BioCircos.js', based on the 'JQuery' and 'D3' technologies. The output is by default displayed in stand-alone HTML documents or in the 'RStudio' viewer pane. Moreover it can be integrated in 'R Markdown' documents and 'Shiny' applications.
| Version: | 0.3.3 |
| Depends: | R (≥ 3.1.0) |
| Imports: | RColorBrewer, htmlwidgets, jsonlite, plyr, grDevices |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-02-15 |
| Author: | Loan Vulliard [trl, cre], Xiaowei Chen [aut], Ya Cui [aut] |
| Maintainer: | Loan Vulliard <lvulliard at cemm.at> |
| License: | GPL-2 | file LICENSE |
| URL: | https://github.com/lvulliard/BioCircos.R |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | BioCircos results |
| Reference manual: | BioCircos.pdf |
| Vignettes: |
BioCircos: Generating circular multi-track plots |
| Package source: | BioCircos_0.3.3.tar.gz |
| Windows binaries: | r-devel: BioCircos_0.3.3.zip, r-release: BioCircos_0.3.3.zip, r-oldrel: BioCircos_0.3.3.zip |
| OS X binaries: | r-release: BioCircos_0.3.3.tgz, r-oldrel: BioCircos_0.3.3.tgz |
| Old sources: | BioCircos archive |
Please use the canonical form https://CRAN.R-project.org/package=BioCircos to link to this page.


| Performance Score |
{% for report in reports%}
{{ report.performance_score }} |
{% endfor %}
| First Contentful Paint |
{% for report in reports%}
{{ report.metrics.first_contentful_paint.timing }} |
{% endfor %}
| Speed Index |
{% for report in reports%}
{{ report.metrics.speed_index.timing }} |
{% endfor %}
| Largest Contentful Paint |
{% for report in reports%}
{{ report.metrics.largest_contentful_paint.timing }} |
{% endfor %}
| Time to Interactive |
{% for report in reports%}
{{ report.metrics.interactive.timing }} |
{% endfor %}
| Total Blocking Time |
{% for report in reports%}
{{ report.metrics.total_blocking_time.timing }} |
{% endfor %}
| Cumulative Layout Shift |
{% for report in reports%}
{{ report.metrics.cumulative_layout_shift.timing }} |
{% endfor %}


Complex HQ Plus is indicated for the gradual lightening of hyperpigmented skin conditions such as chloasma, melasma, freckles, senile lentigenes, and other unwanted areas of melanin hyperpigmention.
DIRECTIONS:
Apply a thin layer on the skin surface in the affected areas twice a day or as directed by physician. Use of this product should be discontinued after 3 months of treatment if no improvement is observed. The lightening effect may not be noticeable when used on very dark skin. Sun exposure should be avoided. DNA Damage Control [EVERYDAY BROAD SPECTRUM SPF 44] or other broad spectrum sunblock or protective clothing should be used to prevent reoccurring hyperpigmentation.
ACTIVE INGREDIENT:
Hydroquinone, 4%
INACTIVE INGREDIENTS:
Ascorbic Acid, Butylated Hydroxytoluene, Cetyl Alcohol, Edetate Disodium, Fragrance, Glycerin, Glycolic Acid, Methylparaben, Propylparaben, Purified Water, Sodium Lauryl Sulfate, Sodium Metabisulfite, Stearyl Alcohol, Vitamin E Acetate.
WARNINGS:
Avoid contact with eyes. Some users may experience mild skin irritation. If skin irritation becomes severe, stop use and consult a physician. In case of accidental ingestion, call a physician or seek a Poison Control Center immediately. Children under 12 years of age: Do not use unless directed by a physician.
FOR EXTERNAL USE ONLY.

PhotoMedex, Horsham, PA 19044
1.888.966.1010 • www.neova.com
Made in the USA
Neova Complex HQ Plus
2oz. (56.7 g) label and box
ComplexHQplus2ozLabel.jpg ComplexHQplusBox.jpg
PhotoMedex, Inc.


my name is suhaib emad, i studed Mechanical engineering at abu and i finished this year, since then i worked in al-kaseh factory for 3 month but i wasnts sure that what i want to do but i kept working there for 3 month
i always loved computers and wanted to work on one so that i start learing some html and css while am working in the factory i kept doing the same thing until a frined of mine told me about this course so i said why not and i applied to it
after 3 weeks i got a call from ltuc telling me that they accpited me cant tell u how happy i was so i say goodbuy to my cworkers in the factory and left


Webpage
Maths
Clock
Human Body
Vitamins
Force
Survey
Class-1
Class-2
Class-3
Class-4
Class-5
VIDEOS>


Several functions are presented in order to study data in a group structure, where the same set of variables are measured on different groups of individuals.
| Version: | 0.4.4 |
| Depends: | R (≥ 2.15.0) |
| Imports: | MASS |
| Published: | 2015-03-11 |
| Author: | Aida Eslami, El Mostafa Qannari, Stephanie Bougeard, Gaston Sanchez Questions and comments go to Aida Eslami and Stephanie Bougeard |
| Maintainer: | Aida Eslami <aida.eslami at yahoo.fr> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | multigroup results |
| Reference manual: | multigroup.pdf |
| Package source: | multigroup_0.4.4.tar.gz |
| Windows binaries: | r-devel: multigroup_0.4.4.zip, r-release: multigroup_0.4.4.zip, r-oldrel: multigroup_0.4.4.zip |
| OS X binaries: | r-release: multigroup_0.4.4.tgz, r-oldrel: multigroup_0.4.4.tgz |
| Old sources: | multigroup archive |
| Reverse depends: | cap |
Please use the canonical form https://CRAN.R-project.org/package=multigroup to link to this page.


The disease causes respiratory illness (like the flu) with symptoms such as a cough, fever, and in more severe cases, difficulty breathing. You can protect yourself by washing your hands frequently, avoiding touching your face, and avoiding close contact (1 meter) with people who are unwell.
Coronavirus disease spreads primarily through contact with an infected person when they cough or sneeze. It also spreads when a person touches a surface or object that has the virus on it, then touches their eyes, nose, or mouth.
The situation in Poland now:
Total Confirmed:
--
Total Recovered:
--
Total Deaths:
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Preparation time
30 mins to 1 hour
Cooking time
over 2 hours
Serves
Serves 4
Treat to yourself to something really special, from meat chef guru Richard H. Turner.
To make the master pork broth, blacken the cut side of the onions in a very hot, dry pan. Place in a large pan with all the other ingredients and 5 litres/8 ¾ pints of water. Bring to a gentle simmer. Cook for 3 hours, skimming every 30 minutes or so. The trick here is to simmer at a bare roll and skim any impurities regularly, to achieve a clean, clear broth.
Without moving the pan, turn off the heat and gently ladle the broth out of the pot through a very fine sieve, taking care not to disturb the bottom too much. Cool and reserve the master pork broth until needed. (You can use the meats and vegetables to make pork broth salad or pork broth terrine.)
For the pork, generously salt the pork belly and leave uncovered for 1 hour, then rinse. Place in a large saucepan and cover with the pork broth. Add the rest of the ingredients.
Bring to the boil, then turn down to a simmer. Place a plate or a small saucepan lid directly on the pork belly to keep it submerged. Cook at the barest simmer for about 2 hours. When you can pass a skewer through the belly with ease, it is ready.
Meanwhile preheat the oven to 220C/200C Fan/Gas 7.
Take care when removing the pork belly from the stock. Place it on a chopping board and remove the bones and sinews (they should pop out of the tender meat).
Score the skin slightly in a chequered pattern. Place on greaseproof paper on a baking tray and roast for about 20 minutes.
Meanwhile, strain the reserved stock into a saucepan and reduce it until a nice coating consistency is achieved, like a light syrup.
For the dressing, whisk all the dressing ingredients together until the sugar has dissolved, and store in a sealed container.
For the slaw, toast the fennel seeds in a dry pan until golden-brown, then set aside.
Slice the cabbage, fennel and onion 1 mm thick, using a mandolin – the thinner the better. Finely chop the herbs using a very sharp knife.
Toss together with all the remaining ingredients so that they are well combined and the herbs are evenly spread throughout the slaw.
Whisk the dressing again 20 minutes before serving and add to the slaw. Toss thoroughly and check and adjust the seasoning.
Serve the pork with the sauce drizzled over it and the slaw on the side.


Compares two commits (which must belong to the same object) in order to evaulate which one is more recent.
Follows the conventions of the JavaScript sort() method:
-1
indicates that a comes before (i.e. is older than b)1
indicates that a comes after (i.e. is newer than b)The first commit to compare.
The second commit to compare.
Resolves the current state of an object with the basic
commit strategy.
TODO: This class currently returns only the raw object payload. Once we add an object instance
class to the SDK (e.g. HubObject
), this method will no longer be called directly, and will
also need to return the app-readable object metadata.
Currently returns null
if the object was deleted, otherwise returns the most recent payload.
The entire known set of commits for the object.
Generated using TypeDoc
Resolves the final state of an object from the constituent set of commits for that object.
This class works only with objects using the
basic
commit strategy.


Aims of the Course :
The focus in this discipline is on understanding electronic networks and
devices,electric magnetic fields,computer fundamentals, communication and control systems. Electronics and
Communication Engineering uses the scientific knowledge of the behavior and effects of electronics to
develop components, devices,systems and equipments. It deals with recent trends in communication technology
via wire/wireless networks, circuits designs & Micro controllers.
Course duration :
The Course for the Diploma in Electronics & communication Engineering shall
extend over a period of three academic years, consisting of 6 semesters and the first year is common to all
engineering branches.
Eligibility:
- For I year-Passed 10th/SSC/Matric /CBSC/ANGLO
- For II year (Lateral entry) –Passed 12th science with Vocational/
Technical (or) 10th + (2 years I.T.I) with appropriate specialization.
Vision
To produce creative and innovative dynamic
professionals Who will lead in the ever changing world of technologies.
Mission
Organizing regular interactive sessions in the
department by industrial personals, conducting workshops, symposium on the latest trends in
technology with active participation of students from various institutions.By developing
human, social and intellectual qualities necessary for the successful practice of the
profession.
CURRICULUM AND SCHEME OF EXAMINATION
Diploma In Electronics And Communication Engineering (Full Time)
Total Curriculum Hours : 35 Hours / Week
Total Working Hours : 35 Hours / Week 16weeks/Semester
L- Scheme
III SEMESTER
| S. No |
Subject Code |
Subject |
| 1 |
24031 |
Electronic Devices and Circuits |
| 2 |
24032 |
Electrical Circuits and Instrumentation |
| 3 |
25233 |
‘C’ Programming |
| 4 |
24034 |
Electronic Devices and Circuits Lab |
| 5 |
24035 |
Electrical Circuits & Instrumentation
Practical |
| 6 |
25236 |
‘C’ Programming Practical |
| 7 |
20001 |
‘Computer Application Practical |
IV SEMESTER
| S. No |
Subject Code |
Subject |
| 1 |
24041 |
Industrial Electronics |
| 2 |
24042 |
Communication Engineering |
| 3 |
24043 |
Digital Electronics |
| 4 |
24044 |
Linear Integrated Circuits |
| 5 |
24045 |
Industrial Electronics & Communication
Engineering
Practical |
| 6 |
24046 |
Integrated Circuits Practical |
| 7 |
20002 |
Communication & Life Skill Practical |
V SEMESTER
| S. No |
Subject Code |
Subject |
| 1 |
24051 |
Advanced Communication Systems |
| 2 |
24052 |
Microcontroller |
| 3 |
24053 |
Very Large Scale Integration |
| 3 |
Elective - I |
| 24071 |
1. Digital Signal Processing |
| 23072 |
2. Programmable Logic Control |
| 24073 |
3. Robotics |
| 4 |
24055 |
Advanced Communication Systems Practical |
| 5 |
24056 |
Microcontroller Practical |
| 6 |
24057 |
Very Large Scale Integration Practical |
VI SEMESTER
| S. No |
Subject Code |
Subject |
| 1 |
24061 |
Embedded Systems |
| 2 |
24682 |
Computer Hardware and Network |
| 3 |
Elective – II |
| 24081 |
Television Engineering |
| 23082 |
Biomedical & Telemedicine |
| 24083 |
Electronic System Design |
| 4 |
24064 |
Embedded Systems Practical |
| 5 |
24684 |
Computer Hardware and Network Practical |
| 6 |
24066 |
Simulation Practical |
| 7 |
24067 |
Project Work |
Click
here To view thw full e-Books of Electronics &
Communication Engineering


IMPORTANT: Development is paused right now. Use at your own risk.
Discussion and questions about HyperDEX atomic swap powered decentralized exchange. The project is maintained by HyperDEX team.
could be an issue with the version of mm we're including
ah
there we go
you aren't connected to any other peers
we are planning to add an indicator for this somewhere
is there any chance anyone else is running an mm instance on the same WAN IP as you?
Cryptoon10-Aug-18 12:54 PM
Nah I'm at work
lukechilds10-Aug-18 12:55 PM
have you tested at home and at work and got the same issue?
Cryptoon10-Aug-18 12:55 PM
Yes
Same problem
lukechilds10-Aug-18 12:55 PM
same machine or different?
Cryptoon10-Aug-18 12:55 PM
And barter does work over there as well
same machine
lukechilds10-Aug-18 12:55 PM
what OS?
Cryptoon10-Aug-18 12:55 PM
osx
let me check version
lukechilds10-Aug-18 12:55 PM
hmmn
very strange
Cryptoon10-Aug-18 12:55 PM
10.13.6
lukechilds10-Aug-18 12:55 PM
no one else has reported this
I'm not saying I don't believe you
but this is a very odd issue(edited)
are you able to get your hands on another machine to test?
Cryptoon10-Aug-18 12:56 PM
I tried a lot of things, turning off firewall etc
mobile hotspot
another machine with the same os? I'm afraid not
lukechilds10-Aug-18 12:59 PM
can you run this in a terminal
ps -Af | grep marketmaker | grep -v grep | wc -l
Cryptoon10-Aug-18 12:59 PM
it say 1
says*
lukechilds10-Aug-18 01:00 PM
interesting
I have an idea
gimme a sec
Are you comfortable with building from source?
it's pretty simple
the entire build process is automated
You need Node.js and yarn installed
I can talk you through it if you want to give it a go
Cryptoon10-Aug-18 01:03 PM
Sure
if it can help you guys
lukechilds10-Aug-18 01:04 PM
thanks
do you already have Node.js?
Cryptoon10-Aug-18 01:04 PM
no clue
I have installed a lot of stuff for verus about a month ago
lukechilds10-Aug-18 01:04 PM
run
which node
in a terminal
Cryptoon10-Aug-18 01:04 PM
homebrew and some libs I didnt have yet
snowdamn10-Aug-18 01:05 PM
i would try deleting the HyperDEX folder in .config first, sorry for the trivial
Cryptoon10-Aug-18 01:05 PM
just type 'which node' in terminal?
does nothing
lukechilds10-Aug-18 01:05 PM
yep
Cryptoon10-Aug-18 01:05 PM
try @snowdamn solution first?
lukechilds10-Aug-18 01:06 PM
it didn't say
node not found
?
no, that wont work for you
snowdamn10-Aug-18 01:06 PM
killall, delete folder, run
lukechilds10-Aug-18 01:06 PM
You can try but I don't think it will resolve the issue
it appears to be an issue with mm
the GUI is working as expected, but mm isn't connecting to any peers
snowdamn10-Aug-18 01:08 PM
don't mean to beat a dead horse here, but definitely killall mm if you try
lukechilds10-Aug-18 01:08 PM
need to shoot off for a sec, back in a min, run brew install yarn to get Node.js and yarn
Cryptoon10-Aug-18 01:12 PM
ok doing now
lukechilds10-Aug-18 01:12 PM
once that's done can you run
node --version && yarn --version
Cryptoon10-Aug-18 01:15 PM
node --version && yarn -- version
v10.8.0
yarn install v1.9.4
info No lockfile found.
error install has been replaced with add to add new dependencies. Run "yarn add version" instead.
info Visit https://yarnpkg.com/en/docs/cli/install for documentation about this command.