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President Trump’s approval rating stands at 41% this week among all Americans.
Reuters/Ipsos Data: Core Political (06/13/2018)
Reuters/Ipsos Data: Core Political (06/13/2018)
Anne Marie Moran
Immigration remains the top of mind issue among all Americans. President Trump's approval remains steady at 41%.
Reuters/Ipsos Data: Core Political (07/03/2018)
Reuters/Ipsos Data: Core Political (07/03/2018)
Ipsos Public Affairs
President Trump’s approval rating remains statistically unchanged from last week, with 42% of all Americans approving of the job he is doing as president.
Reuters/Ipsos Data: Core Political (06/27/2018)
Reuters/Ipsos Data: Core Political (06/27/2018)
Ipsos Public Affairs
President Trump’s approval stands at 43% among all American adults as Attorney General Jeff Sessions continues to top the Reuters/Ipsos Wh’Exit poll.
Reuters/Ipsos Data: Core Political (06/20/2018)
Reuters/Ipsos Data: Core Political (06/20/2018)
Ipsos Public Affairs
Let’s not cite the drop, just state what it is… This week, 42% of all Americans approve of President Trump’s job performance. Registered voters are in line with the rest of the general public, with 44% approving of the job Trump is doing as president. Party lines continue to show division with one third of Independents (33%), 85% of Republicans, and just 14% of Democrats approving of Trump’s job performance. Republicans and Democrats are neck and neck in this week’s generic ballot question – 33% of Americans would vote for a Democrat and 33% would vote for a Republican if the election were held today. Among registered voters, Democrats (39%) have a slight edge on Republicans (37%). Independents are evenly split between Republicans (15%), Democrats (17%) and a third party (18%). Healthcare (16%) continues to be perceived as the most important problem facing America today. The economy (13%) is a close second to healthcare. Terrorism (11%) and morality (11%) are tied, and round out of the top issues. Attorney General, Jeff Sessions, continues to lead the Wh’Exit Poll, with 17% of Americans reporting they believe he will be the next to resign or be fired from the White House. EPA Administrator, Scott Pruitt, is no longer perceived to be in the hot seat, with 10% of Americans reporting he will be next on the chopping block. Betsy Devos, Secretary of Education (10%) is tied for second place with Scott Pruitt.
Reuters/Ipsos Data: Core Political (05/30/2018)
Reuters/Ipsos Data: Core Political (05/30/2018)
Ipsos Public Affairs
PRO_ARTIST_BIO_ShelbyHardie_24x36
PRO_ARTIST_BIO_ShelbyHardie_24x36
Shelby Sunshine Hardie
IBOLC_OPORD_steel_bulldog_gallagher
IBOLC_OPORD_steel_bulldog_gallagher
Jim
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Recommandé
President Trump’s approval rating stands at 41% this week among all Americans.
Reuters/Ipsos Data: Core Political (06/13/2018)
Reuters/Ipsos Data: Core Political (06/13/2018)
Anne Marie Moran
Immigration remains the top of mind issue among all Americans. President Trump's approval remains steady at 41%.
Reuters/Ipsos Data: Core Political (07/03/2018)
Reuters/Ipsos Data: Core Political (07/03/2018)
Ipsos Public Affairs
President Trump’s approval rating remains statistically unchanged from last week, with 42% of all Americans approving of the job he is doing as president.
Reuters/Ipsos Data: Core Political (06/27/2018)
Reuters/Ipsos Data: Core Political (06/27/2018)
Ipsos Public Affairs
President Trump’s approval stands at 43% among all American adults as Attorney General Jeff Sessions continues to top the Reuters/Ipsos Wh’Exit poll.
Reuters/Ipsos Data: Core Political (06/20/2018)
Reuters/Ipsos Data: Core Political (06/20/2018)
Ipsos Public Affairs
Let’s not cite the drop, just state what it is… This week, 42% of all Americans approve of President Trump’s job performance. Registered voters are in line with the rest of the general public, with 44% approving of the job Trump is doing as president. Party lines continue to show division with one third of Independents (33%), 85% of Republicans, and just 14% of Democrats approving of Trump’s job performance. Republicans and Democrats are neck and neck in this week’s generic ballot question – 33% of Americans would vote for a Democrat and 33% would vote for a Republican if the election were held today. Among registered voters, Democrats (39%) have a slight edge on Republicans (37%). Independents are evenly split between Republicans (15%), Democrats (17%) and a third party (18%). Healthcare (16%) continues to be perceived as the most important problem facing America today. The economy (13%) is a close second to healthcare. Terrorism (11%) and morality (11%) are tied, and round out of the top issues. Attorney General, Jeff Sessions, continues to lead the Wh’Exit Poll, with 17% of Americans reporting they believe he will be the next to resign or be fired from the White House. EPA Administrator, Scott Pruitt, is no longer perceived to be in the hot seat, with 10% of Americans reporting he will be next on the chopping block. Betsy Devos, Secretary of Education (10%) is tied for second place with Scott Pruitt.
Reuters/Ipsos Data: Core Political (05/30/2018)
Reuters/Ipsos Data: Core Political (05/30/2018)
Ipsos Public Affairs
PRO_ARTIST_BIO_ShelbyHardie_24x36
PRO_ARTIST_BIO_ShelbyHardie_24x36
Shelby Sunshine Hardie
IBOLC_OPORD_steel_bulldog_gallagher
IBOLC_OPORD_steel_bulldog_gallagher
Jim
Grabelski lariots
Grabelski lariots
Jim
Op dagger thrust_gallagher
Op dagger thrust_gallagher
Jim
Haiti Chile Earthquake
Haiti Chile Earthquake
Jim
Terrain model kit gallagher
Terrain model kit gallagher
Jim
Simply put: IT'S A BUSINESS!
Prison Planet: Free Labor Force
Prison Planet: Free Labor Force
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Yis'rael2
Jim
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Salix
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13th amendment
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The 12th amendment
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detailed county and crosstab information on biggest problem reported in Metro Atlanta Speaks
33N MAS 2023 BiggestProblemQuestionSlides
33N MAS 2023 BiggestProblemQuestionSlides
ARCResearch
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M.Gallagher Exam2
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Crime in India - compendium 2008 : By National Crime Records Bureau, Ministry...
Crime in India - compendium 2008 : By National Crime Records Bureau, Ministry...
People's Archive of Rural India
The concern about national security has increased significantly since the 26/11 attacks at Mumbai, India. However, information and technology overload hinders the effective analysis of criminal and terrorist activities. Data mining applied in the context of law enforcement and intelligence analysis holds the promise of alleviating such problem. In this paper we use a clustering/classify based model to anticipate crime trends. The data mining techniques are used to analyze the city crime data from Tamil Nadu Police Department. The results of this data mining could potentially be used to lessen and even prevent crime for the forth coming years
An Intelligence Analysis of Crime Data for Law Enforcement Using Data Mining
An Intelligence Analysis of Crime Data for Law Enforcement Using Data Mining
Waqas Tariq
Table of Contents Introduction 2 Descriptive statistics 3 Violent and property crimes 3 Categories of Violent and property crimes 5 Graphical Representation 9 Histogram 9 Boxplot 11 Scatterplot 12 Confidence interval 13 Murder 13 Non-negligent manslaughter rate 14 Paired t test 15 Ethical issues 17 Conclusion 18 Introduction I consider data sets namely number of violent crimes, number of property crimes, violent crime rates, and property crime rates for the years 1960 through 2012 for my analysis. Violent crime have has 4 categories Murder and non-negligent Manslaughter, Legacy rape /1, Robbery and Aggravated assault. Property crimes has 3 categories Burglary, Larceny-theft and Motor vehicle theft. Descriptive statisticsViolent and property crimes The table of descriptive statistics for total of violent crimes, total of property crimes, violent crime rates, and property crime rates along with population is given below. Population Violent crime total Property crime total Violent Crime rate Property crime rate Mean 1027647.396 2332.321 51414.22642 213.0736 4940.675 Standard Error 30163.37005 152.2037 2356.550621 11.26415 179.483 Median 1062000 2744 54573 247.6 5143.3 Mode 1187000 #N/A #N/A 231.9 #N/A Standard Deviation 219592.6486 1108.06 17155.94748 82.00426 1306.656 Sample Variance 48220931312 1227797 294326533.9 6724.699 1707349 Kurtosis -1.241236819 -0.76307 -0.34898103 0.141618 -0.73214 Skewness -0.208033283 -0.78788 -0.684862884 -1.25813 -0.43517 Range 757318 3470 67533 277.7 4906.3 Minimum 632772 138 14405 21.8 2276.5 Maximum 1390090 3608 81938 299.5 7182.8 Sum 54465312 123613 2724954 11292.9 261855.8 Count 53 53 53 53 53 There are 53 observation for each year from 1960 to 2012. All the variables total of violent crimes, total of property crimes, violent crime rates, and property crime rates are observed to be skewed to the left. For a skewed data, median is considered as the best measure of central tendency. Median is the middle observation in a series of data when arranged in ascending order. The value of median for total of violent crimes, total of property crimes, violent crime rates, and property crime rates is 2744, 54573, 247.6, and 5143.3 respectively. Mean is defined as the sum of all observation divided by total number of observations. The mean value for total of violent crimes, total of property crimes, violent crime rates, and property crime rates is 2332.321, 51414.22, 213.07 and 4940.67 respectively. The value of standard deviation and variance is a measure of dispersion around mean. The value of standard deviation for total of violent crimes, total of property crimes, violent crime rates, and property crime rates is 1108.06, 17155.94, 82 and 1306.65. The low value of standard deviation of Violent Crime rate and Property crime rate implies that its mean is reliable. But high value of standard deviation of total of violent crimes and total of property crimes implies that mean is not reliable. Categories of Violen ...
Table of ContentsIntroduction2Descriptive statistics3Viole.docx
Table of ContentsIntroduction2Descriptive statistics3Viole.docx
ssuserf9c51d
John Bowles
Johnathan Bowles
Johnathan Bowles
Laurance Fauconnet
New Bedford Project
New Bedford Project
Zach Bushwack
Linking to this from my Facebook page and City Council blog so residents can be informed as we enter the 2010 budget process.
Lakewood WA, crime, July 2009 report
Lakewood WA, crime, July 2009 report
Walter Neary
www.techandlaw.net
Cybercrime, Digital Investigation and Public Private Partnership by Francesca...
Cybercrime, Digital Investigation and Public Private Partnership by Francesca...
Tech and Law Center
Dave Miklasevich, Product Marketing Manager at Tripwire, illustrates the ever-changing threat landscape of cyberwar. Are you prepared?
Tripwire University Boot Camp – The Shifting Landscape: Know Your Battlefield
Tripwire University Boot Camp – The Shifting Landscape: Know Your Battlefield
Tripwire
High Point Police Department: Statistical Report 2013 (Focused Deterrence)
High Point Police Department: Statistical Report 2013 (Focused Deterrence)
Patricia Hall
Lviv IT Arena is a conference specially designed for programmers, designers, developers, top managers, inverstors, entrepreneurs and startuppers. Annually it takes place at the beginning of October in Lviv at Arena Lviv stadium. In 2016 the conference gathered more than 1800 participants and over 100 speakers from companies like Microsoft, Philips, Twitter, UBER and IBM. More details about the conference at itarena.lviv.ua.
Engineering the Future (Ruslan Zakharchenko Business Stream)
Engineering the Future (Ruslan Zakharchenko Business Stream)
IT Arena
Why is Cybersecurity so important today than ever before? Because it is one of the 10 most important risks facing human race. Data thefts and breaches are causing a great deal of damage to businesses both in terms of revenue and reputation losses.
Cybersecurity: Glimpses from the 2017
Cybersecurity: Glimpses from the 2017
Rahul Neel Mani
As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc
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Crime in India - compendium 2008 : By National Crime Records Bureau, Ministry...
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People's Archive of Rural India
The concern about national security has increased significantly since the 26/11 attacks at Mumbai, India. However, information and technology overload hinders the effective analysis of criminal and terrorist activities. Data mining applied in the context of law enforcement and intelligence analysis holds the promise of alleviating such problem. In this paper we use a clustering/classify based model to anticipate crime trends. The data mining techniques are used to analyze the city crime data from Tamil Nadu Police Department. The results of this data mining could potentially be used to lessen and even prevent crime for the forth coming years
An Intelligence Analysis of Crime Data for Law Enforcement Using Data Mining
An Intelligence Analysis of Crime Data for Law Enforcement Using Data Mining
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Table of Contents Introduction 2 Descriptive statistics 3 Violent and property crimes 3 Categories of Violent and property crimes 5 Graphical Representation 9 Histogram 9 Boxplot 11 Scatterplot 12 Confidence interval 13 Murder 13 Non-negligent manslaughter rate 14 Paired t test 15 Ethical issues 17 Conclusion 18 Introduction I consider data sets namely number of violent crimes, number of property crimes, violent crime rates, and property crime rates for the years 1960 through 2012 for my analysis. Violent crime have has 4 categories Murder and non-negligent Manslaughter, Legacy rape /1, Robbery and Aggravated assault. Property crimes has 3 categories Burglary, Larceny-theft and Motor vehicle theft. Descriptive statisticsViolent and property crimes The table of descriptive statistics for total of violent crimes, total of property crimes, violent crime rates, and property crime rates along with population is given below. Population Violent crime total Property crime total Violent Crime rate Property crime rate Mean 1027647.396 2332.321 51414.22642 213.0736 4940.675 Standard Error 30163.37005 152.2037 2356.550621 11.26415 179.483 Median 1062000 2744 54573 247.6 5143.3 Mode 1187000 #N/A #N/A 231.9 #N/A Standard Deviation 219592.6486 1108.06 17155.94748 82.00426 1306.656 Sample Variance 48220931312 1227797 294326533.9 6724.699 1707349 Kurtosis -1.241236819 -0.76307 -0.34898103 0.141618 -0.73214 Skewness -0.208033283 -0.78788 -0.684862884 -1.25813 -0.43517 Range 757318 3470 67533 277.7 4906.3 Minimum 632772 138 14405 21.8 2276.5 Maximum 1390090 3608 81938 299.5 7182.8 Sum 54465312 123613 2724954 11292.9 261855.8 Count 53 53 53 53 53 There are 53 observation for each year from 1960 to 2012. All the variables total of violent crimes, total of property crimes, violent crime rates, and property crime rates are observed to be skewed to the left. For a skewed data, median is considered as the best measure of central tendency. Median is the middle observation in a series of data when arranged in ascending order. The value of median for total of violent crimes, total of property crimes, violent crime rates, and property crime rates is 2744, 54573, 247.6, and 5143.3 respectively. Mean is defined as the sum of all observation divided by total number of observations. The mean value for total of violent crimes, total of property crimes, violent crime rates, and property crime rates is 2332.321, 51414.22, 213.07 and 4940.67 respectively. The value of standard deviation and variance is a measure of dispersion around mean. The value of standard deviation for total of violent crimes, total of property crimes, violent crime rates, and property crime rates is 1108.06, 17155.94, 82 and 1306.65. The low value of standard deviation of Violent Crime rate and Property crime rate implies that its mean is reliable. But high value of standard deviation of total of violent crimes and total of property crimes implies that mean is not reliable. Categories of Violen ...
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Lviv IT Arena is a conference specially designed for programmers, designers, developers, top managers, inverstors, entrepreneurs and startuppers. Annually it takes place at the beginning of October in Lviv at Arena Lviv stadium. In 2016 the conference gathered more than 1800 participants and over 100 speakers from companies like Microsoft, Philips, Twitter, UBER and IBM. More details about the conference at itarena.lviv.ua.
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The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx
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Axa Assurance Maroc - Insurer Innovation Award 2024
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The Digital Insurer
What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
HampshireHUG
What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
Antenna Manufacturer Coco
Explore the leading Large Language Models (LLMs) and their capabilities with a comprehensive evaluation. Dive into their performance, architecture, and applications to gain insights into the state-of-the-art in natural language processing. Discover which LLM best suits your needs and stay ahead in the world of AI-driven language understanding.
Evaluating the top large language models.pdf
Evaluating the top large language models.pdf
ChristopherTHyatt
In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
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Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
Evaluating the top large language models.pdf
Evaluating the top large language models.pdf
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
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