Event Location:
John McIntyre Conference Centre
18 Holyrood Park Road
Edinburgh, , United Kingdom
Abstract:
Come and learn best practices for designing charts to help people understand their business data effortlessly. Need to create charts and dashboards for people to get insight from their complex data and make better business decisions? This session will show you what to do, and more importantly why. Understand the way our brains are wired and take advantage of our ability to process some types of visual data far more easily than others. You will learn some great tips for better visualisation, and common pitfalls to avoid, rather than the technical ins-and-outs of how to achieve this with a specific piece of software. The main focus will be on charts and dashboards for CRM or ERP systems, but the approaches are just as valid using Excel, PowerPivot, SSRS or big analytics products from any data source.
Speaker(s): Adam Vero - Dynamics CRM MVP,
Abstract:
All applications need some method for the user to interact with. Excel built-in functionality is accessed via the Ribbon, and Excel provides the capability to customise the Ribbon to organise it to your preference. More interestingly, it is possible to create your own Ribbon tabs that can interact with your applications. This session will briefly show how to add items to the QAT and personalise the existing Ribbon, and then we will develop a Ribbon to manage a number of VBA macros, demonstrating dynamic Ribbon capabilities such as changing the image, and adding/removing items to/from dropdowns and dynamic menus. It will also show how to develop this code for 32 and 64 bit environments, and protect the ribbon from context loss.
Speaker(s): Bob Phillips,
Abstract:
R is a language for data munging and stats that is growing in popularity. Many Microsoft BI professionals are curious about R but few have used it on a real project yet. This talk aims to introduce you to the capabilities of R by comparing the implementation of a typical BI task both in Power BI and in R. We’ll load some data from a SQL database, explore the data and ask some basic questions, draw some insightful conclusions and then communicate these to a broader audience. The purpose of this session is to show R strengths and weaknesses to help you decide if R is a useful language that is worth investing time and effort to learn and master.
Speaker(s): Mark Wilcock,
Abstract:
The SharePoint landscape has changed dramatically over the last few years, and this session is designed to help Business Decision Makers, IT Managers and SQL Professionals understand what it offers as reporting platform. Exploring the different options, benefits and considerations for using SharePoint to report on data in SQL Server. Explaining that there are important decisions to make about which platform to use, and whether cloud based services should be considered. It will show a number of SharePoint options including Business Connectivity Services, Reporting Services, Excel Services and Power BI. It will consider the differences in functionality and configuration for different versions of SharePoint and SQL. Including comparing the platforms of SharePoint Server, SharePoint Foundation and Office 365. Finally it will challenge attendees to think about the purpose of the solution being delivered, who it is for and the long term strategy.
Speaker(s): Peter Baddeley,
Abstract:
We will overview a detailed options about how to deploy Power BI, how to implement configuration parameters and package BI features as a part of Office 365 roll out in your organisation. Having said that, cloud computing is another aspect of this technology made is possible to get data within few clicks and ticks to the end-user. Let us review how to manage connect on-premise data to cloud capabilities that can offer full advantage of data catalogue capabilities by keeping data secure as per Information Governance standards. Not just with nuts and bolts, performance is another aspect that every Admin is keeping up, let us look into few settings on how to maximize performance to optimize access to data as
Speaker(s): Satya Jayanty,
Abstract:
So you’ve played around with Power Query in Excel; now it’s time to put it to work. In this session you’ll learn how to ‘think’ in Power Query. You’ll see a number of examples of how Power Query can be used to solve real world problems and understand the best practices and patterns that you can take back to work and use immediately. Examples will include: • Creating and using a parameter table • Combining data from multiple Excel workbooks into a single data set • Handling errors and unavailable data sources • Calling web services, handling authentication and working with XML • Performing sentiment analysis in Excel with Power Query and Azure Machine Learning
Speaker(s): Chris Webb,
Abstract:
Business analytics platforms have always been tools built for statisticians and data scientists. However, these tools are increasingly being directed at business analysts, and Gartner's rankings on its well-known "completeness of vision" and "ability to execute" axes now ride as much on "ease of use" as they do on offering advanced analytical algorithms. How does this change in landscape affect businesses? Are you new to the world of business analytics? Are you taking over an existing analytics program, or starting one from scratch? This session will help you to understand how to craft a strategy, provision the right business analytical capabilities, and move towards actionable results. We’ll identify common pitfalls to avoid as you start or reinvigorate your business analytics program. In particular, we’ll explore how companies are using self-service and data discovery techniques to deliver more agile analytics using Azure Machine Learning.
Speaker(s): Jen Stirrup,
Abstract:
Need to download data from a website without an API? Scrape it! Web scraping is a technique for collecting information from websites, especially in ways not intended by the publisher. Many business have web scraping in their data strategy to open up new business opportunities and remain competitive. It is something that we can all use to make existing data acquisition tasks easier and make new goals possible. Python is well suited to the task of web data acquisition. Thanks to its simple, clean syntax and interactive shell, it is easy and fun to learn. It is accessible to Business Intelligence professionals with an SQL background. Scrapy provides an infrastructure for writing scraping programs called spiders. It allows you to achieve more with shorter, more declarative code. It can be used for small and large scraping projects. In our demo we will study the anatomy of a spider, then use it pull data from a website into Microsoft SQL Server for further analysis.
Speaker(s): Iain Elder,
Abstract:
The SQL Server Data Warehouse Fast Track (DWFT) program is designed to provide customers standard and proven system architectures optimized for a range of enterprise data warehousing needs. DWFT is a joint effort between Microsoft and many hardware partners. The goal is to help enterprise customers deploy Data Warehouse solutions with recommended hardware configuration appropriate for the requirements of the workload with reduced risk, cost and complexity. This presentation discusses the process undertaken to achieve the certification of a 90TB SanDisk solution whilst achieving an efficient out-of-box balance between SQL Server data processing capability and hardware resources.
Speaker(s): Niall MacLeod,
Abstract:
Whether you are a Data Wizard, a Dwarf mining for insights, an Elf creating elegant visualisations or an ordinary Hobbit seeking business enlightenment before second breakfast, BI Office from Pyramid Analytics can help you achieve your quest for insights and timely business information. By demonstrating how to build a BI Solution in 45 minutes, this session will show you how BI Office can make you a BI Superhero in your organisation!
Speaker(s): Ian Macdonald,
Abstract:
We are not short of data and it’s growing at an exponential rate; what we are short of is insight. This talk will cover the latest announcements around advanced analytics, machine learning, and big data technologies to guide you through the future direction of the analytics journey we should all be placing our bets on. Demos of Machine Learning, Stream Analytics, PowerBI, DataZen
Speaker(s): Ric Howe,
Abstract:
We all know about Big Data: Velocity, Volume and Variety. What about the missing 'V" - Visualisation? What does “big data” look like? It has to be more than beautiful; it needs to convey the information and insights in a way that people understand. Further, people expect to be able to make actionable insights from their data, and how can we make big data friendly to users? In this session, we will look at a mix of open source and Microsoft technologies for visualising big data sources, and ways of achieving BigViz harmony in your Big Data
Speaker(s): Jen Stirrup,
Abstract:
Investigative exploration of data is very often ad-hoc in nature. We might need to interact with many types and soures of data. The Questions we need to ask, and the data we might need to answer them are not set in stone, and as a result following traditional modelling is not always an option. Rather, we follow the data, to an unknown end. In this session, we take the European Economic Crisis, and the Euro, and see what publically available data can do to give us insights into one of the largest currencies in the world. See the Microsoft Power BI stack used to tell a real world story
Speaker(s): Carmel Gunn,
Abstract:
In this session we'll be integrating a variety of geospatial data sources to provide a scalable website using a Windows Azure SQL Database and it's built in Geospatial features such as nearest neighbour. Then we'll take this a step further and introduce another live data stream, finally rendering it all using Bing Maps to an Azure Website. The presentation is targeted at individuals wanting a quick overview of the rapidly evolving Azure Service offerings for today’s cloud ready business.
Speaker(s): Thomas Sykes,
Abstract:
Today’s Business Intelligence (BI) systems are increasingly perceived as mission critical, but their value is only as good as the quality of data they contain. Learn how you can use Microsoft SQL Server Master Data Services and Profisee’s Master Data Maestro to ensure data quality and improve BI value.
Speaker(s): Dave Lawrence,
Abstract:
In this short technical presentation we will look at some of the options available today which can be employed to optimize database workloads. During the presentation we will look at results from various experiments and try to understand the impact of performance relative to different database components and workloads.
Speaker(s): peyman blumstengel,
Abstract:
With Microsoft’s acquisition of DataZen dashboard and mobile BI is not easier than ever, with DataZen being bundled with SQL Server. Come along and see how to get started with DatZen. We will be showing an end to end demo of creating and publishing dashboards for a mobile and tablet devices.
Speaker(s): Bob Duffy,
Abstract:
Deep dive into the DMG and the hybrid architecture involved by Power BI. How does it work ? Security, Firewall, Certificates, Multiple gateways, Admin delegation, Scale out, Disaster Recovery.... All that topics will be covered during that technical session.
Speaker(s): Jean-Pierre Riehl,
Abstract:
The phenomenon of anonymous cyber bullies trolling individuals, as a pack, has increased over the years. One of the things that makes this appealing for the trolls is that they feel that they can act with impunity due to the anonymity provided by many social networks. In this presentation we'll walk through the development of a theoretical application to identify these trolls, and the multiple accounts they hold, via computational lingustics, before using predictive analytics to suggest likely locations for their homes and places of work/education. By removing the anonymity of the Internet we can drive these trolls off of social media.
Speaker(s): Gary Short - C# MVP,
Abstract:
David will demonstrate how easy it is to not only visualise data from SQL Server, on-prem. or in the cloud, with Visio 2013 Professional , but how you can use structured diagrams and validation rules to create data for your database from a drawing. He will also demonstrate how Visio diagrams stored in SharePoint 2013 can be become interactive dashboards available on any modern device and in any modern browser.
Speaker(s): David Parker,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: http://www.linkedin.com/in/visibardd
Contact: https://wessexbi.wordpress.com/
I am an independent consultant based in the UK, specializing in all things Excel, especially delivering BI within Excel. I came to appreciate the power and versatility of Excel as an enterprise tool in the mid-90s when managing the delivery of a data warehouse project. Now a freelance consultant, I specialize in Excel automation and BI delivered via Excel. An 11 year veteran of Microsoft#39;s MVP program, my life mission is to persuade small and medium corporates that data analysis and BI is important to them too, and that Power BI can help then find that information, in a straight-forward and cost-effective manner.
LinkedIn: http://uk.linkedin.com/in/jenstirrup/
Contact: http://www.jenstirrup.com
Jen Stirrup, Microsoft Regional Director and MVP is a well-known Business Intelligence and Data Visualization expert, author, data strategist, and Master of Business Administration (MBA) student in London. Jen leads a boutique analytics consultancy, delivering strategic advice to companies large and small. Jen has presented in Africa, India, Europe and North America. Jen has presented at Ignite, Techorama, TechEd, PASS Summit, SQLBits, and SQLSaturday events in Europe and the US. She also delivers the MAPA Azure Architects course worldwide with Microsoft team members. Jen was also featured on the Best of PASS Summit 2015 DVD as one of the top 10 speakers. Jen also was awarded PASS prestigious PASSion Award in 2012
Contact: http://blogs.prodata.ie/author/bob.aspx
Bob Duffy is a SQL Server MVP from Dublin, Ireland who is MCA, MCM. and Analysis Services Maestro certified. Bob works as a Database Architect at the Prodata SQL Centre of Excellence where he specializes in business intelligence and performance tuning.
Contact: http://uk.linkedin.com/in/garyshort/en
Freelance Data Scientist and Big Data engineer / architect. Weapons of choice include, but are not limited to: Hadoop, HDInsight, HBase, Hive, Pig, Cassandra, Solr, R, SPSS, Python, NodeJS, NLTK, UCINet, Numpy, Scala, F#, Deedle, OCaml, MSSQL and Java. I'm also a C# MVP and cook up a mean Win8* app, but if it has a data science bent to it, then I'm happier.
LinkedIn: http://uk.linkedin.com/in/jenstirrup/
Contact: http://www.jenstirrup.com
Jen Stirrup, Microsoft Regional Director and MVP is a well-known Business Intelligence and Data Visualization expert, author, data strategist, and Master of Business Administration (MBA) student in London. Jen leads a boutique analytics consultancy, delivering strategic advice to companies large and small. Jen has presented in Africa, India, Europe and North America. Jen has presented at Ignite, Techorama, TechEd, PASS Summit, SQLBits, and SQLSaturday events in Europe and the US. She also delivers the MAPA Azure Architects course worldwide with Microsoft team members. Jen was also featured on the Best of PASS Summit 2015 DVD as one of the top 10 speakers. Jen also was awarded PASS prestigious PASSion Award in 2012
LinkedIn: https://uk.linkedin.com/in/richowe
I have always been interested in how we can use technology to enhance the our experience of the world. Technology makes things simpler, but it#39;s often difficult to traverse the myriad of solutions out there, so I have made it my mission to help people achieve the unthinkable by using technology the right way. Cloud computing has revolutionised how we consume technology and made complex and expensive solutions simple and accessible for all businesses.
LinkedIn: https://www.linkedin.com/in/chriswebb6/
Contact: https://blog.crossjoin.co.uk/
Chris Webb is a member of the Power BI CAT team. He is the author of "Power Query for Power BI and Excel" and a co-author of "SQL Server Analysis Services 2012: The BISM Tabular Model", "Expert Cube Development with SQL Server 2008 Analysis Services", and "MDX Solutions with Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase".
LinkedIn: https://uk.linkedin.com/pub/iain-elder/22/753/1a5
Contact: http://basetable.wordpress.com
Iain Elder is a data professional focussing in data collection, data management, and process automation. He began his career scraping the web data barrel to integrate dozens of heterogeneous sources, and now as a database administrator manages a SQL Server estate of hundreds of servers. His favourite tools for getting things done are SQL, PowerShell, Python and Java.
LinkedIn: https://uk.linkedin.com/pub/dave-lawrence/0/839/53a
Contact: http://www.profisee.com
Dave has over 30 years’ experience in providing sales support for data management software vendors, at Profisee he works with customers to build help them unleash the power of Microsoft SQL Master Data Services using Profisee’s Maestro Software.
LinkedIn: http://uk.linkedin.com/in/adamvero/en
Contact: http://blog.crmguru.co.uk
I help organisations of various sizes and industries to make better use of technology and software to increase efficiency, improve internal processes, enable better decision making, manage collaboration across teams and become more agile in their operations. As an MVP for Dynamics CRM and Microsoft Certified Trainer I deliver various Microsoft Official Courseware “MOC”) courses in Dynamics CRM 4.0, 2011 and 2013 as well as my own bespoke training courses in a range of Microsoft technologies.
LinkedIn: http://uk.linkedin.com/in/jenstirrup/
Contact: http://www.jenstirrup.com
Jen Stirrup, Microsoft Regional Director and MVP is a well-known Business Intelligence and Data Visualization expert, author, data strategist, and Master of Business Administration (MBA) student in London. Jen leads a boutique analytics consultancy, delivering strategic advice to companies large and small. Jen has presented in Africa, India, Europe and North America. Jen has presented at Ignite, Techorama, TechEd, PASS Summit, SQLBits, and SQLSaturday events in Europe and the US. She also delivers the MAPA Azure Architects course worldwide with Microsoft team members. Jen was also featured on the Best of PASS Summit 2015 DVD as one of the top 10 speakers. Jen also was awarded PASS prestigious PASSion Award in 2012
Niall is a Senior Applications Architect for SanDisk, specializing in Microsoft SQL Server and Flash Storage Solutions. Niall has extensive knowledge and experience in utilizing infrastructure resources to deliver application performance. Having began his career in IT in the late 1990s at Data General and EMC, Niall has since worked with several enterprise storage companies; the latter being Fusion-io where he was responsible for the direction of technical marketing in EMEA.
Peyman Blumstengel, Director of Enterprise sales, Micron, 20+ years in hardware industry, Memory Murali Nagaraj, CacheBox VP Engineering, 20+ years in software development; key implementer in Cluster File System at VERITAS/Symantec; 7 patents in file system amp; storage technology.
LinkedIn: http://uk.linkedin.com/in/bvisual/en
Contact: http://blog.bvisual.net
David has been creating data diagrams since the late ‘80s since he was an RIBA architect, and has primarily utilised Visio since 1996 with a variety of data sources, which has often been SQL Server. He has been an MVP for Visio for over 11 years, written three books about customising Visio, maintains an intermediate / developer blog about Visio, provides Visio training and consultancy around Europe. He started his own data visualisation company, bVisual ltd, in 1998.
LinkedIn: http://ie.linkedin.com/in/carmelgunn/
Contact: http://blogs.prodata.ie
Carmel is the Managing Director of the Prodata SQL Centre of Excellence in Dublin, Ireland, where she is a data management specialist, working in the areas of analytics and visualisations. As a committee member for the SQL Server Ireland User Group, she has played an active roll in bringing 2 SQLSaturdays to Dublin, and is heavily involved in the SQL community.
Contact: http://www.baddaz.com
Peter is a Solution Architect focusing on delivering Microsoft solutions including SharePoint, Dynamics CRM and Office 365. He has been working with SharePoint since 2004, lives in Cambridgeshire (United Kingdom) and can often be found on Twitter (@Baddaz) or his blog (www.baddaz.com). Peter is one of the organisers of East Anglia Region of the SharePoint User Group UK. His working life is spent leading a team of consultants delivering Microsoft Solutions to companies across UK and Ireland.
LinkedIn: http://uk.linkedin.com/in/sqltomato
Contact: http://sqltomato.com/
Tom is a Senior SQL Server consultant for Quorum Network Resources, a Microsoft Gold Data Platform Partner based in Edinburgh. He is a MCT in addition to being multiple MCSE in Data and Cloud. Current projects include SQL Infrastructure and Performance Tuning, Hybrid Azure SQL Solutions and SQL 2014 migrations.
LinkedIn: http://www.linkedin.com/in/jonathanwoodward
Jonathan Woodward is the UK Business Lead at Microsoft focused on the Data Platform covering: - Business Intelligence - Analytics - Big Data - Data Science
LinkedIn: https://uk.linkedin.com/sqlmaster
Contact: http://www.sqlserver-qa.net
My experience surrounded with high focus on the data platform with a track record of defining strategy, designing and delivering digital transformation migrations with major enhancements to current working methods. Worked in a capacity of Head of Data Engineering, Enterprise Data Architect and Solutions Key career accomplishment recognition as an industry expert technical excellence from the Microsoft as Data Platform Most Valuable Professional (MVP) recognition since the year 2006 (13 years as MVP and counting), which recognizes exceptional technical community leaders worldwide who actively deliver, present share their extraordinary contributions, high quality, and real-world expertise. Twitter pod (http://twitter.com/sqlmast
LinkedIn: https://www.linkedin.com/profile/preview?locale=en_USamp;trk=prof-0-sb-preview-primary-button
Contact: http://uk.linkedin.com/pub/ian-macdonald/1/381/2a1
Ian is a data wizard, who has nearly 30 years’ experience in the Enterprise Business Intelligence market. Starting in Technical Support, training and consulting with Information Builders in 1986, he subsequently developed a career in presales, product marketing and marketing , holding senior VP positions with companies such as Microsoft, Hyperion Solutions and HP. Ian has been working with Pyramid Analytics for five years, initiating their UK presence in 2011.
Mark is an independent consultant specializing in the analysis, reporting and visualization of financial data. Over the last 20 years, he worked on many systems to measure and monitor financial performance and manage market risks that arise from banking and trading activities. He#39;s the organizer of the London Business Analytics Group, a popular community group that holds monthly talks on topics ranging from Predictive Analytics to Power Query to Personalized Medicine. He blogs at zomalex.co.uk
LinkedIn: http://fr.linkedin.com/in/djeepy1
Contact: http://blog.djeepy1.net
Architect, Consultant, Trainer and also Manager, Jean-Pierre leads the Data BI Practice at AZEO, a French Microsoft "pure-player" partner. Jean-Pierre is MVP Data Platform since 2008 and speaks at many events in France and in Europe. JP leads the local community (GUSS) and organize events in France since 2011 : MS Cloud Summit, Les Journées SQL Server, SQLSaturday, etc. JP is passionate by data concerns in business like Data Governance, Data Quality or Data Vizualisation and since 2010, he’s specialized in Self-Service BI. His favorite topic is Power BI and business usages and technical architectures that go with.
The following is a list of sponsors that helped fund the event.


| 131 different keyphrases | Search | Percent |
| connor davidson resilience scale | 37 | 12.1 % |
| cd-risc | 26 | 8.5 % |
| connor-davidson resilience scale | 25 | 8.2 % |
| resilience scale | 16 | 5.2 % |
| cd risc | 11 | 3.6 % |
| connor davidson resilience scale pdf | 10 | 3.2 % |
| cd-risc questionnaire | 7 | 2.3 % |
| connor-davidson resilience | 7 | 2.3 % |
| connor-davidson resilience scale cd-risc pdf | 4 | 1.3 % |
| connor–davidson resilience scale cd-risc | 4 | 1.3 % |
| connor-davidson resilience scale cd-risc | 4 | 1.3 % |
| connor and davidson resilience scale | 4 | 1.3 % |
| development of a new resilience scale the connor-davidson resilience scale cd-risc | 4 | 1.3 % |
| cd risc 10 | 3 | 0.9 % |
| connor davidson resilience scale questionnaire | 3 | 0.9 % |
| cd-risc 2 | 3 | 0.9 % |
| connor-davidson resilience scale pdf | 3 | 0.9 % |
| connor davidson resilience scale in greek | 2 | 0.6 % |
| connor-davidson resiliency scale | 2 | 0.6 % |
| resilience scale free | 2 | 0.6 % |
| connor-davidson resilience scale cd-risc connor & davidson 2003 | 2 | 0.6 % |
| connor dividson/2003/reliability/validity | 2 | 0.6 % |
| the 10-item connor-davidson resilience scale | 2 | 0.6 % |
| connor davidson resilience scale in greek stalika | 2 | 0.6 % |
| 10 item connor davidson resilience scale | 2 | 0.6 % |
| cd-risc resilience | 2 | 0.6 % |
| the connor-davidson scale | 2 | 0.6 % |
| connor davidson resilience questionnaire | 2 | 0.6 % |
| connor davidson | 2 | 0.6 % |
| cd-risc 10 item | 2 | 0.6 % |
| connor-davidson resilience scale copy | 2 | 0.6 % |
| connor–davidson resilience scale | 2 | 0.6 % |
| 10 item measure cd risc | 2 | 0.6 % |
| connor-davidson resilience scale? | 2 | 0.6 % |
| the connor-davidson resilience scale cd-risc | 2 | 0.6 % |
| connor & davidson 2003 | 2 | 0.6 % |
| davidson scale | 1 | 0.3 % |
| mcglone j gillespie j lee k pohlmann-eden b sadler rm. measuring perceived stigma in literate adults with epilepsy where does resilience fit? poster presented at 63rd annual meeting american epilepsy society boston ma. october 4-8 2009. | 1 | 0.3 % |
| the connor-davidson resilience scale cdrisc | 1 | 0.3 % |
| connor –davidson resilience scale | 1 | 0.3 % |
| copy of the cd-risc | 1 | 0.3 % |
| connor-davidson resilience scale（cdrisc）レジリエンス | 1 | 0.3 % |
| cd-risc resilience scale | 1 | 0.3 % |
| connor david resiliency scale | 1 | 0.3 % |
| cd-risc connor & davidson 2003 es | 1 | 0.3 % |
| the connor- davidson resilience scale to assess resilience | 1 | 0.3 % |
| means scores on cd-risc-10 | 1 | 0.3 % |
| how much does it cost to use the connor davis resiliency scale? | 1 | 0.3 % |
| cd-risc serbian | 1 | 0.3 % |
| conner davidson resilience scale | 1 | 0.3 % |
| resilience scale for elderly | 1 | 0.3 % |
| free connor davidson resilience scale | 1 | 0.3 % |
| resilience scale scoring and interpretation | 1 | 0.3 % |
| connor davidson r scale | 1 | 0.3 % |
| the connor-davidson resilience scale | 1 | 0.3 % |
| the connor- davidson resilience scale cd-risc manual | 1 | 0.3 % |
| cannor et davidson | 1 | 0.3 % |
| resilience cd risc version française | 1 | 0.3 % |
| connor-davidson resilience assessment | 1 | 0.3 % |
| cd-risk-10 connor davidson scale | 1 | 0.3 % |
| connor-davidson resiliency assessment | 1 | 0.3 % |
| connor davidson resilience scale download | 1 | 0.3 % |
| the connor‐davidson resilience scale | 1 | 0.3 % |
| connor-davidson resilience scale cd-risc depression anxiety. 2003 | 1 | 0.3 % |
| resilience risc | 1 | 0.3 % |
| resilience scale magyarul | 1 | 0.3 % |
| connor davidson resilience scael | 1 | 0.3 % |
| domains in resilience scales | 1 | 0.3 % |
| connor-davidson resilience scale cd-risc ques | 1 | 0.3 % |
| cd risk connor davidson | 1 | 0.3 % |
| connor-davidson-scale | 1 | 0.3 % |
| cd-risc scoring | 1 | 0.3 % |
| the 25-item connor-davidson resilience scale | 1 | 0.3 % |
| cd-risk scale | 1 | 0.3 % |
| http //www.connordavidson-resiliencescale.com | 1 | 0.3 % |
| davidson resilience | 1 | 0.3 % |
| connor davidson resilience scale scoring | 1 | 0.3 % |
| connor davidson resiliance scale 2007 | 1 | 0.3 % |
| revised connor davidson resilience | 1 | 0.3 % |
| connor resilience scale | 1 | 0.3 % |
| cd - risc | 1 | 0.3 % |
| cd-risc français | 1 | 0.3 % |
| conner davidson 25 | 1 | 0.3 % |
| laff cd-risc depression | 1 | 0.3 % |
| cd risc 10 scoring | 1 | 0.3 % |
| connor–davidson resilience scale cd-risc online | 1 | 0.3 % |
| cd- risc | 1 | 0.3 % |
| conner davidson survey | 1 | 0.3 % |
| the connor davidson resilience scale | 1 | 0.3 % |
| connor e davidson cd risc | 1 | 0.3 % |
| purchase connor-davidson resilience 10 item rating scale | 1 | 0.3 % |
| davidson connor resilience scale | 1 | 0.3 % |
| connor davidson resilience scale free download | 1 | 0.3 % |
| connor davidson 2003/resilience scale/validity | 1 | 0.3 % |
| connor and stein 2003 | 1 | 0.3 % |
| connor davidson resilience. survey | 1 | 0.3 % |
| 10-item connor-davidson resilience scale questions | 1 | 0.3 % |
| resilience scale connor davidson | 1 | 0.3 % |
| resilience scale pdf | 1 | 0.3 % |
| resilience scales questionnaire | 1 | 0.3 % |
| connor davidson resilience scale complete questionnaire | 1 | 0.3 % |
| connor-davidson resilience scale cd-risc interpretation | 1 | 0.3 % |
| and validity of the | 1 | 0.3 % |
| connor davidson resilience scale items | 1 | 0.3 % |
| the connor–davidson resilience scale cd-risc | 1 | 0.3 % |
| manual of resilience scale user s | 1 | 0.3 % |
| the resilience scale 10 item | 1 | 0.3 % |
| connor‐davidson resilience scale cd‐risc/cd‐risc2 pdf | 1 | 0.3 % |
| resilience scaleindia | 1 | 0.3 % |
| connor-davidson scale | 1 | 0.3 % |
| th e connor-davidson resilience scale cd-risc | 1 | 0.3 % |
| resilience scale.com | 1 | 0.3 % |
| connor davidosn reslience scale | 1 | 0.3 % |
| cd-risc serbian translation | 1 | 0.3 % |
| connor km davidson jrt. depression and anxiety 2003; 18 71-82 | 1 | 0.3 % |
| scale to measure resilience | 1 | 0.3 % |
| free download resilience scales | 1 | 0.3 % |
| depression and anxiety connor-davidson | 1 | 0.3 % |
| cd-risk davidson | 1 | 0.3 % |
| the resilience scale | 1 | 0.3 % |
| connor-davidson resilience scale [cd-risc] connor & davidson 2003 | 1 | 0.3 % |
| connor davidson resilience scale urdu translation | 1 | 0.3 % |
| connor davidson resilience scale questions | 1 | 0.3 % |
| connor davidson resilience scale 10 item | 1 | 0.3 % |
| cdrisc | 1 | 0.3 % |
| french version of the 10-item cd-. risc scale hébert | 1 | 0.3 % |
| terms of use connor davidson resilience scale for academic research | 1 | 0.3 % |
| cd-risc high and low | 1 | 0.3 % |
| resilience scale scoring | 1 | 0.3 % |
| cd risc 25 items | 1 | 0.3 % |
| connor davidson resilience scale swedish | 1 | 0.3 % |


// SPDX-License-Identifier: MIT
pragma solidity >=0.6.0 <0.8.0;
import "../math/Math.sol";
/**
* @dev Collection of functions related to array types.
*/
library Arrays {
/**
* @dev Searches a sorted `array` and returns the first index that contains
* a value greater or equal to `element`. If no such index exists (i.e. all
* values in the array are strictly less than `element`), the array length is
* returned. Time complexity O(log n).
*
* `array` is expected to be sorted in ascending order, and to contain no
* repeated elements.
*/
function findUpperBound(uint256[] storage array, uint256 element) internal view returns (uint256) {
if (array.length == 0) {
return 0;
}
uint256 low = 0;
uint256 high = array.length;
while (low < high) {
uint256 mid = Math.average(low, high);
// Note that mid will always be strictly less than high (i.e. it will be a valid array index)
// because Math.average rounds down (it does integer division with truncation).
if (array[mid] > element) {
high = mid;
} else {
low = mid + 1;
}
}
// At this point `low` is the exclusive upper bound. We will return the inclusive upper bound.
if (low > 0 && array[low - 1] == element) {
return low - 1;
} else {
return low;
}
}
}
|


Becky Silk Blazer
$335
Eres' daring 'Grigri Fortune' swimsuit has the fit and coverage of a bikini in a one-piece silhouette. This fuchsia style is crafted from the label's sculpting peau douce fabric and has flattering cutouts through the torso and back. Wear yours with mirrored sunglasses on vacation.
- Storm and midnight-blue stretch cotton-blend
- Notch lapels, functioning buttoned cuffs, two front flap pockets, single vent, internal pocket
- Two button fastening
- 84% cotton, 14% nylon, 2% elastane
- Dry clean


The sub-qindow that you can use to view a list of sequences parsed from a file or in My Library is a Dance Editor. The only difference between a file editor and the My Library editor is that you see the file name for files, but the name of My Library on disk is hidden. Otherwise, all Dance Editors are alike.
The image at right shows a sample SD output file after it has been opened. A Dance Editor will always appear in the right-hand pane of the main window. Notice that when you parse in an SD file, it will be re-formatted as a full Dance file and if you modify it and save it, it will be saved in DNC format (the native format of Sets in Motion).
A Dance Editor shows, if it was created for a specific file, the file name across the top of the pane. Otherwise, the rest of the pane is filled with six columns of information.
The left-most column is a simple ID number, which is the number of the sequence in the file. This number will be shown with the sequence when it is being viewed or editied individually.
The next column is a column of checkboxes. Clicking on the boxes selects or deselects the corresponding sequence. Note that in the image, three sequences, numbers 7, 10 and 11 have been checked. Selecting sequences in this way is handy for printing multiple sequences at once.
The Status column can have several possible values:
The Level column identifies the declared level of each Sequence.
The Date Created column reports the original creation date of a given sequence.
The Comment column is the value of the comment field for each sequence.
At the bottom of the list of sequences is the phrase "Add another sequence...". If you click there, a new sequence will be created and added to the end of the list.
Clicking the mouse on any sequence will open the sequence in a Sequence Editor in the left-hand pane of the main window.
Even though the changes you make to sequences are done in Sequence Editors on the left-hand side of the main window, they are all part of the dance file represented in the Dance Editor on the right-hand side of the window. As a result, when you undo an edit, it will be the last edit regardless of which sequence within the file you changed. Also, you save the dance file and that saves all changes to all sequences at once for that file.
Right-clicking over any sequence will open a context menu for that sequence.
The menu choices that are allowed for that sequence are offered. The following is the list of all menu items that might appear:


WITNESS LIST Intergovernmental Relations Committee April 7, 1999-8:30A HB 1345 FOR: Silverman, Karl (Johnson Space Center Amateur Club, Clear Lake Radio Club), League City Wormster, Alan J. (Austin Amateur Radio Club, Inc.), Austin Registering, but not testifying: For: Barnaby, Galen (Himself), Austin Bowles, Amy (Clear Lake Amateur Radio Club), Houston Cambell, Wendle (Amateur Radio), Austin Dippel, Darryl (Communitcations Director, Fayette Co. Emergency Management), La Grange Greenwood, James (Himself), Austin Holmes, Teresa (W5MOM, Compaq Amateur Radio Club), Houston Holmes, Walter Jr. (K5WH, Compaq Amateur Radio Club), Houston Lance, Nicholas Jr (ARES EC, Clear Lake Amateur Radio Club), Houston Lay, Michael (NSPTN, Austin Repeater Org. & Armadillo Int.), Pflugerville Mellichamp, Dallas (Himself), Round Rock Morgan, Robert (Himself), Austin O'Brien, Susanne (Clear Lake Amateur Radio Club), Seabrook O'Brien, Thomas P. (Clear Lake Amateur Radio Club), Seabrook Robbins, James (N5OUJ Amateur, ARRL ARO AARC), Del Valle Silverman, Deborah (Herself), League City Sinclair, Eddie R. Jr. (KC5VIB, Compaq Amateur Radio Club), Houston Underwood, Martha (Williamson Co. Amateur Radio Club), Georgetown Wines, Gerald Roger (Amateur Radio Operators), Austin SB 135 Registering, but not testifying: For: Wagenbach, Larry (Judge, Fort Bend Co.), Richmond SB 601 FOR: Stark, Rebecca (Court Clerk, City of Ft Worth), Ft Worth Registering, but not testifying: For: Momsen, Richarda (Director of Municipal Court, City of El Paso), El Paso Porter, Quentin (Municipal Courts Director, TX Court Clerks Association), San Antonio SB 633 Registering, but not testifying: For: Mixon, Carl (Fire Marshall, Bexar Co.), San Antonio SB 709 FOR: Anderson, Bob (Commissioner, Hood Co.), Granbury SB 822 Registering, but not testifying: For: Igo, Shanna (Director of Legislative Services, TML), Austin Sisk, Cathy (Bureau Chief, Harris Co. Attorney's Office), Houston SB 918 FOR: Meffert, Marcy (Mayor, City of Leon Valley), Leon Valley Registering, but not testifying: For: Brummett, Hank (City Manager, City of Leon Valley), Leon Valley Igo, Shanna (Director of Lege Services, TML), Austin SB 1078 FOR: Momsen, Richarda (Director of Municipal Court, City of El Paso), El Paso SB 1101 Registering, but not testifying: For: Cox, Kevin (First Deputy, DFW International Airport), DFW SB 1175 FOR: Crossfield, Charles (Atty., Williamson Co.), Round Rock Heiligenstein, Mike (County Commissioner, Williamson Co.), Round Rock ON: Martin, Andrew (City Atty., City of Austin), Austin SB 1193 Registering, but not testifying: For: Lee, Donald (Executive Director, TX Conference of Urban Counties), Austin Pardue, Craig (Governmental Affairs, Dallas Co.), Dallas On: Graves, Stan (Texas Historical Commission), Austin SB 1254 ON: Marshall, John (Chief Appraiser, Tarrant Co. Appraisal Dist), Ft Worth Registering, but not testifying: For: Ward, Karyn (CPA), Dallas SB 1393 Registering, but not testifying: For: Hammerlein, George (Asst. Chief Deputy, Harris Co. Tax Assessor-Collector), Houston SB 1480 FOR: Cox, Kevin (First Deputy & Exec. Dir., DFW Internatinal Airport), DFW Registering, but not testifying: For: Cain, Randy (City of Dallas), Austin Groomer, Mike (Asst. City Manager, City of Fort Worth), Ft Worth Henning, Joe (City Manager, City of Euless), Euless SB 1506 FOR: Hatfield, Kim (Vice President, TX Regional Asset Management), Houston Pitts, John (Texas Regional Properties, Akin Gump et. al.), Austin AGAINST: Carrington, Edwina (Exec Dir, TX Housing Finance Corp & TX Affil Affordable Housing), Austin Fisher, Bill (Blazer Residential Inc.), Austin Mintz, David (TX Apartment Association), Austin ON: Njie, Cherno (TX Department of Housing & Community Affairs), Austin Registering, but not testifying: For: Cantu, Dina (Resident, Island Palms Apts.), Edinburg Garcia, Rebecca (Resident, Island Palms Apts.), Edinburg Gonzales, Virginia (Manager, Island Palm Apts.), Edinburg Gonzalez, Guadalupe (Property Manager, La Herencia Apts.), Mercedes SB 1508 FOR: Balmer, Barbara (President, Coastal Bend Hotel Motel Condo Assoc.), Corpus Christi Baltran, Char (Director, Convention and Visitor's BUreau), Corpus Christi Neal, Loyd (Mayor, City of Corpus Christi), Corpus Christi Registering, but not testifying: For: Bushell, Gary (Pres. & CEO, Greater Corpus Christi Business Alliance), Corpus Christi Garcia, David (City Manager, City of Corpus Christi), Corpus Christi Hansen, Don (TX Hotel and Motel Assoc.), Austin SB 1539 FOR: Ferrell, Craig (Deputy Director, Houston Police Dept/City of Houston), Houston AGAINST: McNeil, Carvel "Corky" (Legislative Chairman, Houston Police Patrolmen's Union (109)), Houston Sanders, Stephen (President, Houston Police Patrolman's Union), Houston Registering, but not testifying: For: Clark, Mark (Gov. Relations, Houston Police Officer's Union), Houston Marticivc, Hans (President, Houston Police Officer's Union), Houston SB 1540 AGAINST: Henson, Scott (Sunshine Project for Police Accountability), Austin Registering, but not testifying: For: Clark, Mark (Gov. Relations, Houston Police Officer's Union), Houston Ferrell, Craig (Deputy Director, Houston Police Dept/City of Houston), Houston Marticivc, Hans (President, Houston Police Officers Union), Houston Against: McNeil, Carvel "Corky" (Legislative Chairman, Houston Police Patrolman's Union (109)), Houston Sanders, Stephen (President, Houston Police Patrolman's Union), Houston SB 1609 FOR: Carlton, John (Travis Co. ESD No. 2), Austin Registering, but not testifying: For: Albin, Tom (President, Wells Branch Neighborhood Assoc.), Austin Katz, Howard (Attorney, Harris Co. ESD 9), Houston Moellenberg, Ron (Travis Co. Emergency Service #2), Pflugerville SB 1610 Registering, but not testifying: For: ALbin, Tom (President, Wells Branch Neighborhood Assoc.), Austin Cain, Randy (TX Fire Chiefs Assoc.), Austin Carlton, John (TCESD 2), Austin Moellenberg, Ron (Fire Chief, TCESD 2), Pflugerville Mullis, James (Asst. Chief, TCESD #2), Pflugerville On: May, Bill (Retired Fire Chief, TCESD 2), Austin Stanford, Mark (Texas Forest Service), Lufkin SB 1669 Registering, but not testifying: For: Hughes, Bruce (Purchasing Agent, Galveston Co.), Galveston Lee, Donald (Executive Director, TX Conference of Urban Counties), Austin McCown, Jack (City P.A., TX Assoc. of City P.A.'s), Humble SB 1772 FOR: Watson, Juliet (Council Member, City of New Braunfels), New Braunfels Registering, but not testifying: For: Hansen, Don (TX Hotel and Motel Assoc.), Austin Kennady, Jan (Mayor, City of New Braunfels), New Braunfels Shands, Mike (City Manager, City of New Braunfels), New Braunfels Watson, Bob (Citizen, City of New Braunfels), New Braunfels Watson, Laneta (Citizen, City of New Braunfels), New Braunfels On: LeBas, James (Revenue Estimator, Comptroller), Austin Stearns, Eric (Revenue Analyst, Comptroller), Austin SB 1783 FOR: Clark, Mark (Gov. Relations, Houston Police Officer's Union), Houston Ferrell, Craig (Deputy Director, Houston Police Dept/City of Houston), Houston AGAINST: McNeil, Carvel "Corky" (Legislative Chairman, Houston Police Patrolman's Union (109)), Houston Registering, but not testifying: For: Marticivc, Hans (President, Houston Police Officers Union), Houston Against: Sanders, Stephen (President, Houston Police Patrolman's Union), Houston SB 1824 Registering, but not testifying: For: Cantrell, Mike (County Commissioner, Dallas Co.), Dallas Edwards, Marsha (Court Manager, Dallas Co. Criminal Courts), Dallas Flink, Paige (Executive Director, The Family Place), Dallas Gravelle, Linda (Volunteer, Court Partnership), Dallas Jackson, Lee (Dallas County), Dallas ONeill, Rita (Volunteer, Court Partnership), Richardson Pruitt, Jim (Judge, Dallas Co. Criminal Courts), Dallas Williams, Christie (Dallas Co. Criminal District Attorney's Office), Dallas SJR 2 FOR: Davenport, Mitchell (Judge, Jack Co.), Jacksboro AGAINST: Freeman, Gary (Constable, Justice of the Peace & Constable Assoc. of TX), Pasadena Ott, Patricia (President, Central TX Justices of the Peace & Constables Assoc.), Round Rock Warndof, Donna (Justices of the Peace & Constables Assoc. of TX), Austin Registering, but not testifying: Against: Campos, Charlie Jr. (Constable, South TX Justices of the Peace & Constables Assoc.), San Antonio Clark, James (County Treasurers Assoc. of TX), Austin Griffin, Gary (Constable, Williamson Co. Constable), Round Rock Kunkle, Jerry (Constable, JPCA), West Marshall, Matthew (Constable, Bexar Co. Constable Assoc.), San Antonio Martinez, Mario (Justice of the Peace & Constables Assoc), Austin Ruble, Marty (Constable, Williamson Co.), Taylor Wendel, Susan (Leg. Liason, TX Assoc. of Counties), Austin Wilson, Jimmy (Williamson Co. Constable), Cedar Park


iOS Fusion is our
two day premium event conducted during Gravitas,
VIT’s Technical Fest.
Basics of Swift are
taught and by the end participants develop a
full-fledged working iOS application.
iOS FUSION
iOS Fusion is our
two day premium event conducted during Gravitas,
VIT’s Technical Fest.
Basics of Swift
programming are taught to the participants and
by the end of the event they develop a
full-fledged working iOS application.
UniDev is another
flagship event conducted as part of
graVITas to equip participants to step
into the world of virtual reality.
UNIDEV
UniDev is another
flagship event conducted as part of
graVITas to equip participants to step
into the world of virtual reality.
Students are given
an insight to the tricks and tweaks of
using Unity software in order to be able
to develop their own virtual game based on
augmented reality
towards the end of the workshop.


Ellie Topi
Executive Choice Award
Ellie exemplifies the traits of IEEE leadership. Over this past year, she has taken on a responsibility much greater than that which was simply assigned.
Jerome Schweitzer
New Member Choice Award
Jerome has shown himself to be dedicated to Purdue IEEE. He continues to work hard and challenges himself to do more than is asked.
Tyler Stagge
Student Choice Award
Tyler is a 3rd year ROV member and Mechanical Lead. He took over as mechanical lead in the Spring semester and has dedicated well over 100 hours to making sure the power enclosure, logic enclosure, and frame were finished on time.


What I Talk About When I Don't Want to Talk About Katrina
Having a cat, used to talking
to myself, there is a limit
on how much catastrophe
we can handle. 34 left
at the nursing home to die
fell on the bad side.
Since when are we satisfied
with a slow gouge without
resolution and revelation
of the emotion at play?

(I am talking to myself again)
I reconcile that slush-thrower
peeling back the city’s onion-
strata with no space for grave-
yards to stack bodies in layers.
I’ve made sandwiches before,
all the while talking to my cat,
waiting for its backtalk.


Sales for Today
Home Page
Sales Page
Country Name:
Minimum Number Of Customers Per Hour:
Maximum Number Of Customers Per Hour:
Average Number Of Cookies:


| Class | Description |
|---|---|
| AllEspressoTestSuite |
suite contains all UI espresso tests
Created by ir2pid on 18/03/16.
|
| AllUnitTestSuite |
Suite contains all unit tests
Created by ir2pid on 18/03/16.
|
| BuildConfig | |
| DetailAcitvity |
Activity to show character detail
Created by ir2pid on 16/03/16.
|
| EndpointMD5Tests |
test for creation of all endpoint with proper stamp and md5 hashing
Created by ir2pid on 17/03/16.
|
| GsonSerializeDeserializeTests |
test for gson serializing and deserializing
Created by ir2pid on 17/03/16.
|
| MainActivity |
Entry point, Activity lists all characters on marvel database
|
| MainActivityTests |
UI tests MainActivity and DetailActivity
Created by ir2pid on 17/03/16.
|
| NoisyApplication |
Custom applicaation to maintain app specific volley network request queue and Image loader(unused), using Glide to load and chache images
Created by ir2pid on 13/03/16.
|
| NoisyConstants |
App constants go here
Created by ir2pid on 15/03/16.
|
| R | |
| R.attr | |
| R.color | |
| R.dimen | |
| R.drawable | |
| R.id | |
| R.integer | |
| R.layout | |
| R.menu | |
| R.mipmap | |
| R.string | |
| R.style | |
| SearchActivity |
To lookup characters based on alphabet search
Created by ir2pid on 17/03/16.
|
| SearchActivityTests |
UI tests SearchActivityTests and DetailActivity
Created by ir2pid on 17/03/16.
|
| ZoomActivity |
Activity to provide zoomed view of an Image
Created by ir2pid on 17/03/16.
|
| Enum | Description |
|---|---|
| NoisyConstants.Requests |


Results of lymphocyte transformation tests with several drugs
NT, not tested; □ All skin lesions dis appeared.


Julia (1977)
Grade: 78
"Julia" is a film about the relationship between two lifelong friends, and the lengths that one will go to for a valued friend. The script is excellent and intelligent, and most of the characters are very well defined.
"Julia" takes place in the years leading to World War II. Lillian Hellman (Jane Fonda) is an aspiring playwriter, living with retired novelist Dashiell Hammett (Jason Robards). Lillian longs to visit childhood friend Julia (Vanessa Redgrave) who is involved with espionage against the Nazis. Lillian is eventually involved in Julia's activities. Their lives are endangered.
"Julia" was showed with Academy Award nominations, including Best Picture, Best Director, Best Actress and Best Script. Redgrave and Robards copped supporting actor awards. Redgrave's is particularly deserved. Julia's passion for life and fearless hatred of repression comes through. There is also an excellent supporting role by Maximilian Schell, playing one of Julia's contacts in the resistance. Also watch for Meryl Streep playing an affected socialite. This was her screen debut.
One thing that bothered me about the film was that two male supporting characters (played by Hal Holbrook and John Glover) are incredible drunken jerks. Send them first to a rehab center, then to charm school.
Jane Fonda was given a Best Actress Nomination, but something seems to be missing in her that is needed for her character. Lillian's emotional range is limited to nervous and angry. Julia is almost a maternal figure to her.
Still, "Julia" is a very good movie, well plotted, with many moments of genuine suspense (and horror).
http://members.tripod.com/~Brian_Koller/movies.html
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


08 Jun 2020 (Last Modified 31 Jul 2022)
Spatial statistics is concerned with, as you might expect, how statistics vary over space.
A difference between spatial statistics and the more comon types (t-test, Z-score) is that everything , is that the measurement between spatial areas is often correlated. For example, the health effects of living in Colorado or New York City might reflect the geography or the demographics of the people who live there, or those who migrated into or out of an area. You can’t compare 20 year-olds in one place to 40-year olds in another place and attribute the difference to spatial variation. The spatial null hypothesis is that the distribution of events across a region is uniformly random (process randomness) and that the position of each event is independent of every other event (spatial randomness).
The software and analytic approaches for dealing with spatial data only minimally overlap with the software and analytic approaches for the other type of statistics. (I struggle with what to call the other statistics, because spatial statistics is, argulably, older than “classical” statistics.)
Things often vary in space and time simultaneously. One physics inspired approach is, essentially. $$f\left(\vec{x},t\right) = g\left(\vec{x}\right)h\left(t\right) $$. This decomposition assumes that the variations in space, $$g\left(\vec{x}\right)$$, and time, $$h\left(t\right)$$ are independent enough. Assuming independence leads to elegant linear algebra, but is not valid for variation on the theme of of: “What happens to individuals moving through space if they pick up and lose members?” Even if the decomposition is unrealistic, it is a useful starting point to define the modeling approach. The temporal and spatial dynamics may be on disparate enough scales to be considered separately.
Gao et al. extended the Getis-Ord G* (Eq \ref{eq:getis-ord} ) $$ G = \frac{w_{ij}x_ix_j}{x_ix_j}\label{eq:getis-ord} $$
The location quotient, $lq$ measures the relative concentration of something in one region compared to all others. Let $x$ be a continuous one-dimensional variable where the index indicates its location in a one-dimensional geographic region. We can then define the location quotient as follows:
$$ {lq}_i = \frac{x_i}{||x||} $$
If the processes generating the activity are random and without spatial dependence, then we expect $lq$ to equal $\frac{1}{n}$ for a geography divided into $n$ partitions.
When analyzing the distribution of human artifacts, it usually makes sense to scale $lq$ by the population density in that region.
For social media we make a further refinement because we are interested in the density of relevant conversations. And we only count the number of relevant posts. It is interesting to compare the differences between scaling this number by social media activity (e.g. total posts in a region) vs by population density.


AP PHOTOS: Cream of tattoos on show at Romanian palace
by VADIM GHIRDA and ANDREEA ALEXANDRUBUCHAREST, Romania (AP) - In the slightly incongruous settings of an ornate late 19th century palace, a man with hundreds of metal piercings hangs in the air by hooks dug into his skin, next to a bearded giant tattooed from tip to toe.
The display was part of the 10th International Tattoo Convention, which gathered more than 100 tattoo artists from around the world in the Romanian capital, Bucharest.
The three-day event was held at the end of last week in the Bragadiru Palace, a boisterous specimen of the ornate monumental architecture from the turn of the 20th century that got Bucharest known as the “Paris of the East.” It was designed by Austrian architect Anton Shuckerl for a Romanian beer tycoon.
Visitors had the opportunity to get inked by artists such as Bob Tyrrell and Gabriel Ripley from the U.S. and China’s Zhu Shi, or to see at close quarters people famous for covering their bodies in tattoos - Venezuela’s Emilio Gonzales, Canada’s Doug Smode and Germany’s Guinness World Record holder Rolf Buchholz, known for his 453 metal piercings.
Artists from 26 countries competed in creating the best tattoo in several categories such as Best Black and Grey and Best Color.
Tattoos were virtually unknown until fairly recently in Romania, which was ruled by a repressive communist regime from 1947-1989.
A typical Romanian tattoo artist charges from 250 lei ($58) per hour, while elaborate projects can cost more than 5,000 lei ($1,158).
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


===MicroWebSrv Landing Page===
Hello !
If you can see this webpage, it means that the MicroWebSrv on Pycom FiPy is running correctly!
NEO-M8L sensor readings>>>
Switch to MQTT Mode>>>


- RECT_HEIGHT - Variable in class main.java.ColoredRectangle
-
- RECT_WIDTH - Variable in class main.java.ColoredRectangle
-
- RECT_X - Variable in class main.java.ColoredRectangle
-
- RECT_Y - Variable in class main.java.ColoredRectangle
-
- removeTextWindow() - Method in class main.java.Bus
-
Removes the Statistics window and Events window if they're visible
- removeTextWindow() - Method in class main.java.Mesh
-
Removes the Statistics window and Events window if they're visible
- removeTextWindow() - Method in interface main.java.Network
-
- removeTextWindow() - Method in class main.java.Torus
-
Removes the Statistics window and Events window if they're visible
- reset() - Method in class main.java.StatsFrame
-
Resets the the window's values
- resetLocationCascade(int) - Method in class main.java.TopologyInternalFrame
-
- resetLocationTile(int, int) - Method in class main.java.TopologyInternalFrame
-
- routeComputation(Flit) - Method in class main.java.Router
-
Computes which output channel the flit should be put in depending on its location and destinationm, and the network topology
- RouteComputation - Variable in class main.java.Router
-
- Router - Class in main.java
-
Router Object that handles the location of flits within the pipeline, and their route computation
- Router(int, int, int, int, int, int, JDesktopPane, Network) - Constructor for class main.java.Router
-
Creates the router object
- routerArray - Variable in class main.java.Bus
-
- routerArray - Variable in class main.java.Mesh
-
- routerArray - Variable in class main.java.Torus
-
- routerDiagram - Variable in class main.java.Router
-
- RouterDiagram - Class in main.java
-
Router diagram object that shows the channels of a router and flits at different stages of the pipeline
- RouterDiagram(Router) - Constructor for class main.java.RouterDiagram
-
Creates the RouterDiagram object
- routerEast - Variable in class main.java.Router
-
- routerLocation - Variable in class main.java.Router
-
- routerMA - Variable in class main.java.PropertiesWindow
-
- routerNorth - Variable in class main.java.Router
-
- routerNumber - Variable in class main.java.Router
-
- routerPanel - Variable in class main.java.RouterDiagram
-
- routerSouth - Variable in class main.java.Router
-
- routerWest - Variable in class main.java.Router
-
- runtimeOptions - Variable in class main.java.PropertiesWindow
-


{% extends "simple-form.html" %} {% block form %}
An email with reset instructions has been sent — it make take 10-15 minutes before it appears in your inbox.


Boy in court over Rugby 'murder' as police urge Halloween trick-or-treaters to come forward
The teenager, who cannot be named because of his age, is charged with murdering Cain Jackson in Rugby, Warwickshire, on Thursday October 31, a court spokesman said
by James Rodger, https://www.facebook.com/jamesrodgerjournalistA 17-year-old youth accused of murdering a stabbing victim has been remanded in custody until later this week.
The teenager, who cannot be named because of his age, is charged with murdering Cain Jackson in Rugby, Warwickshire, on Thursday October 31, a court spokesman said.
Mr Jackson, 24, was pronounced dead after emergency crews were called to Meadow Road shortly after 6pm.
His alleged killer appeared before a magistrate at Warwickshire Justice Centre in Leamington Spa on Monday, and was ordered to reappear for a preliminary hearing before a Crown Court judge on Wednesday.
Meanwhile, police investigating the death have issued a further appeal about an altercation believed to have taken place in the Parkfield Road area at about 5.10pm on Thursday.
It is also believed "trick-or-treaters" may have seen an incident on Meadow Road, and officers are keen to speak to them as potential witnesses.
Officers have also asked anyone who may have found an iPhone 7 Plus in a grey case in the Parkfield Road area to come forward.


MUSIC WELCOME---Wolfgang Amadeus Mozart
(From Wikipedia)Wolfgang Amadeus Mozart ( 27 January 1756 – 5 December 1791), baptised as Johannes Chrysostomus Wolfgangus Theophilus Mozart, was a prolific and influential composer of the Classical era
(From Wikipedia)Born in Salzburg, Mozart showed prodigious ability from his earliest childhood. Already competent on keyboard and violin, he composed from the age of five and performed before European royalty. At 17, he was engaged as a musician at the Salzburg court, but grew restless and travelled in search of a better position. While visiting Vienna in 1781, he was dismissed from his Salzburg position. He chose to stay in the capital, where he achieved fame but little financial security. During his final years in Vienna, he composed many of his best-known symphonies, concertos, and operas, and portions of the Requiem, which was largely unfinished at the time of his death. The circumstances of his early death have been much mythologized. He was survived by his wife Constanze and two sons.
(From Wikipedia)He composed over 600 works, many acknowledged as pinnacles of symphonic, concertante, chamber, operatic, and choral music. He is among the most enduringly popular of classical composers, and his influence on subsequent Western art music is profound; Ludwig van Beethoven composed his own early works in the shadow of Mozart, and Joseph Haydn wrote that "posterity will not see such a talent again in 100 years".
Introduction
(From Wikipedia)Wolfgang Amadeus Mozart ( 27 January 1756 – 5 December 1791), baptised as Johannes Chrysostomus Wolfgangus Theophilus Mozart, was a prolific and influential composer of the Classical era
Life
(From Wikipedia)Born in Salzburg, Mozart showed prodigious ability from his earliest childhood. Already competent on keyboard and violin, he composed from the age of five and performed before European royalty. At 17, he was engaged as a musician at the Salzburg court, but grew restless and travelled in search of a better position. While visiting Vienna in 1781, he was dismissed from his Salzburg position. He chose to stay in the capital, where he achieved fame but little financial security. During his final years in Vienna, he composed many of his best-known symphonies, concertos, and operas, and portions of the Requiem, which was largely unfinished at the time of his death. The circumstances of his early death have been much mythologized. He was survived by his wife Constanze and two sons.
Work
(From Wikipedia)He composed over 600 works, many acknowledged as pinnacles of symphonic, concertante, chamber, operatic, and choral music. He is among the most enduringly popular of classical composers, and his influence on subsequent Western art music is profound; Ludwig van Beethoven composed his own early works in the shadow of Mozart, and Joseph Haydn wrote that "posterity will not see such a talent again in 100 years".
Open Dialog
(From Wikipedia)Born in Salzburg, Mozart showed prodigious ability from his earliest childhood. Already competent on keyboard and violin, he composed from the age of five and performed before European royalty. At 17, he was engaged as a musician at the Salzburg court, but grew restless and travelled in search of a better position. While visiting Vienna in 1781, he was dismissed from his Salzburg position. He chose to stay in the capital, where he achieved fame but little financial security. During his final years in Vienna, he composed many of his best-known symphonies, concertos, and operas, and portions of the Requiem, which was largely unfinished at the time of his death. The circumstances of his early death have been much mythologized. He was survived by his wife Constanze and two sons.
Born in Salzburg, Mozart showed prodigious ability from his earliest childhood. Already competent on keyboard and violin, he composed from the age of five and performed before European royalty.
Born in Salzburg, Mozart showed prodigious ability from his earliest childhood. Already competent on keyboard and violin, he composed from the age of five and performed before European royalty


XSS
Reflected XSS
Stored XSS
DOM-based XSS
XSS excercise
CSP example
Content-Security-Policy
XSS protected excercise
CSP example


Titanium allows you to fire five different types of analytics events to our cloud services. The results from these events can be viewed through our optional Analytics product (coming soon!).
User events allow you to generate simple analytics events that just require an event name. You can also pass in a JSON-based data object to attach to this event.
// Fire a user event and pass along a little extra information. Titanium.Analytics.userEvent('my_event', {'login': true});
Navigation Events allow you to track transitions from one part of your app to another. You can pass in the from location, the to location, the navigation event name, and an optional JSON data object.",
// Pass in from location, to location, event name and a JSON data object Titanium.Analytics.navEvent('home', 'edit_account', 'view_account', {'account_id':123});
Settings Events allow you track a specific setting or configuration in your application. You can pass in the settings event name and an optional JSON data object
// pass in a setting name and a JSON data object Titanium.Analytics.settingsEvent('volume', {'value':5});
Timed Events allow you track how long an specific activity or task takes to complete in your application. You can pass in the timed event name, start time, stop time, duration, and an optional JSON data object. The start time and end time values should be in miliseconds via the JavaScript Date object.
// pass in a timed event name and a JSON data object var startTime = new Date(); // Do some task like register for service and then do.... var endTime = new Date(); Titanium.Analytics.timedEvent('register', startTime, endTime, null, {'email':'bob@aol.com'});


ATASesameManager Class Reference
| Inherits from | NSObject |
| Declared in | ATASesameManager.h ATASesameManager.m |
Overview
The Sesame Manager is the main class of the Sesame SDK. It allows you to discover and connect to Sesame devices. It also handles the saving of Sesame devices for later use.
Instance Methods
bluetoothOff
Check whether bluetooth is turned off
- (BOOL)bluetoothOff
Return Value
YES if bluetooth is turned off
Declared In
ATASesameManager.h
connectDevice:withAutoReconnect:
Connects to a Sesame device so you can interact with it. You can also choose to “link” the Sesame to auto reconnect to it
- (void)connectDevice:(ATASesame *)sesame withAutoReconnect:(BOOL)autoReconnect
Declared In
ATASesameManager.h
disconnectDevice:shouldUnpair:
Disconnect from a Sesame fob, optionally force it to remove its pairing data before disconnecting
- (void)disconnectDevice:(ATASesame *)sesame shouldUnpair:(BOOL)shouldUnpair
Parameters
- sesame
The ATASesame to disconnect from
- shouldUnpair
Forces the Sesame to remove its pairing data
Declared In
ATASesameManager.h
saveSesame:
This “bonds” a Sesame, allowing it to be retrived at any point in the future using savedSesame, this will persist accross app launches
- (void)saveSesame:(ATASesame *)sesame
Parameters
- sesame
The ATASesame to “bond” with, if nil then the previous bond is broken
Declared In
ATASesameManager.h
savedSesame
Allows you to retrieve the bonded Sesame device. This will load the ATASesame from disk if required. If nil, then no Sesame has been set up
- (ATASesame *)savedSesame
Return Value
the bonded ATASesame or nil if none have been set up
Declared In
ATASesameManager.h
scanForSesameWithTimeout:andCallback:
Allows you to scan for Sesame devices for a given period of time
- (BOOL)scanForSesameWithTimeout:(NSInteger)timeout andCallback:(ATASesameScanningCallback)callback
Parameters
- timeout
Time to scan (in seconds)
- callback
The block to call after scanning has finished. Of type ATASesameScanningCallback
Return Value
YES if the scan started successfully, NO means the scan couldn’t be started, normally due to Bluetooth being off.
Declared In
ATASesameManager.h


Image Collections Online provides access to images and photographs from a variety of collections at Indiana University. To search across these collections, use either the keyword search in the upper right or the Browse menu on the right side of the site. Searches can be across all collections or against a single collection or unit. Narrow your search by making a selection from the drop-down menu next to the search box. A unit is generally a department or area at Indiana University that houses multiple collections (for example: Liberian Collections or Lilly Library).
NOTE: More fields are indexed than might be viewable for an image so, for example, a search on London will bring back some results that do not actually show the word London in the detailed image view.
Our simple search is designed to support entering words or complicated queries, such as combining more than one Boolean (AND, OR, NOT), exact phrase ("") and stemming (*) operators.
By default, your search will match records that contain all the keywords entered in your query:
Complex searching such as Boolean searches (AND, OR, NOT) can be conducted in the keyword search query box by using the following syntax:
You can add parentheses to your query to define which section of your complex query should be processed first. If you don't add parentheses, your query will be interpreted by default in order from left to right.
To refine or narrow your search, add more terms to your query. For instance the query, street, will return more results than Monrovia street. Use specific terms if you know your precise search. Keep in mind that too many terms could also restrict your search results. More than one term typed in the search field will be interpreted as an AND search.
To expand or broaden your search results, use the OR operator. For instance, if you are looking for records about war, your query may be constructed as follows:
Keep in mind that broad terms combined in an OR search could yield too many results.
To find proper names of titles or common phrases, use exact phrase by adding double quotations marks ("") to your query:
Use the asterisk (*) at the end your search terms to find terms in the record with ending variations:
Using an asterisk (*) or question mark (?) generally broadens search results. We recommend that you search plural as well as singular forms of words to ensure hits. Adding an asterisk at the end of your search term is an easy way to do this. You can also use a question mark to match one unknown character or an asterisk to match one or more unknown characters in a search string:
You can browse Image Collections Online from the home page using several available categories. Selecting either a unit or a collection will take you to an information page for that area, explaining more about the unit and the collections available within that unit, or explaining more about that collection and showcasing featured images. Browsing by other fields will show a result set of images from across all collections that match that criteria.
You can browse within a unit by the collections that make up that unit or by other browse categories offered. Once inside a collection, the browsing categories might actually change or increase. A single collection might have more ways to categorize and offer access to its materials than would be common across an entire unit or all collections in Image Collections Online.
Browsing by a category other than Collection or searching with your own terms will produce a set of smaller, thumbnail-size image results. You can then use the Browse menu to further refine that result set. Additionally, you can remove any applied search terms and browse refinements by clicking the red "X" next to the term you wish to remove at the top of the search results or by clicking "remove" next to the applied term in the Browse menu.
You can view the details of any image by clicking on the image in the searching/browsing results. A larger view of the image will be available along with additional details about the image from the collection curators. If there are multiple images in the result set, you will be able to navigate forward or backward through the set in this detailed view using the "<<Previous" and "Next>>>" links at the top of the page. Additionally, if you arrived at this detailed view by conducting a search or using the browse options, you can return to the thumbnail view of the result set using the "Return to Search" link.
All detailed image views will also contain a navigational breadcrumb to indicate the collection and/or unit that holds this image. You can navigate to the information page for the collection or the information page for the unit using those links.
If you still have questions or are interested in finding out more information about the images contained within this site, you can contact the curator for any individual image or collection using the "contact the curator" link on any image's detailed view. You can also contact the Indiana University Digital Library Program at diglib@indiana.edu


src
src Directory Reference
Files
file
qfits_cache.c
file
qfits_filename.c
file
qfits_header.c
file
qfits_image.c
file
qfits_md5.c
file
qfits_memory.c
file
qfits_rw.c
file
qfits_table.c
file
qfits_time.c
file
qfits_tools.c


Cart
May Meadows Farm
Canton, NY
Toggle navigation
Shopping Cart
Home
About
Shop
Cart
Contact
Shopping
Cart
Continue shopping
Derby Cheese
Derby cheese is a mild, semi-firm British cow's milk cheese.
25.00
x
Cheese Basket
Fruit, Cheese, and Crakers.
50.00
x
Added items?
Update cart


Assumption: low-priv can overwrite an autorun file and wait for different (higher priv) user to log in and run under higher context.
Compile exe
Rename and overwrite identified location


Provides a suite of functions to help ease the use of 'd3.js' in R.
These helpers include 'htmltools::htmlDependency' functions, hierarchy
builders, and conversion tools for 'partykit', 'igraph,' 'table',
and 'data.frame' R objects into the 'JSON' that 'd3.js' expects.
| Version: |
0.8.4 |
| Imports: |
dplyr, htmltools, tidyr (≥ 0.7.0) |
| Suggests: |
httr, jsonlite, listviewer, purrr, testthat |
| Enhances: |
igraph, partykit, rpart, treemap, V8 |
| Published: |
2018-10-24 |
| Author: |
Mike Bostock [aut, cph] (d3.js library in htmlwidgets/lib,
http://d3js.org),
Kent Russell [aut, cre] (R interface),
Gregor Aisch [aut, cph] (d3-jetpack creator,
https://github.com/gka/d3-jetpack),
Adam Pearce [aut] (core contributor to d3-jetpack),
Ben Ortiz [ctb] |
| Maintainer: |
Kent Russell <kent.russell at timelyportfolio.com> |
| BugReports: |
https://github.com/timelyportfolio/d3r/issues |
| License: |
BSD_3_clause + file LICENSE |
| URL: |
https://github.com/timelyportfolio/d3r |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
d3r results |


In April 2012, ISO, the international standards body which had already given us the core media foundations of MPEG-2, MP3 and MP4, finally ratified the version of its next generation adaptive streaming standard: MPEG-DASH. In an industry besieged by three comparable (but incompatible) segmented formats many asked – why another? The participating companies in the MPEG-DASH standardization (including Microsoft, Apple, Netflix, Qualcomm, Ericsson, Samsung, and many others) saw a vision of interoperability and convergence required for large-scale market growth that trumped the proprietary and competing solutions. They replaced multiple corporation-controlled solutions with a single industry-defined open standard.
In the same spirit of cooperation in which MPEG-DASH was created, the leading streaming companies got together to form an industry forum to promote and catalyze the adoption of MPEG-DASH and help transition it from a specification into a real business. The DASH Industry Forum (DASH-IF) grew out of a grassroots DASH Promoters Group and was formally incorporated in September 2012. Today it has 67 members spread throughout the world. DASH-IF is filled with member companies who are realists about the DASH deployment challenges. DASH by itself is no magic panacea for the fragmentation problems of media, devices and markets. However, the DASH-IF members do share a common vision that the long-term benefits of convergence outweigh the costs of shorter-term efforts involved in achieving that goal. They are willing to take on the work of creating recommendations, filing bugs, and attending plug-fests and interop events, with the belief that their business and the Internet streaming market in large will benefit a great deal with convergence around DASH. The DASH-IF, representing all sectors of the streaming media ecosystem, is proactively and deterministically shaping the future and success of MPEG DASH.
The MPEG-DASH standard is attractive to many companies because of some key market benefits that it brings:
- independent stable international standard – not owned by any single company, DASH is a finalized specification and not a moving target.
- multi-video and audio tracks – deliver the complexity of a DVD or Blu-ray experience, with multiple synchronized video and audio options.
- mix of multiplexed and non-multiplexed video and audio tracks – provide for dynamic bandwidth adaptation, support for multiple audio options such as language selection and surround sound, bandwidth efficiency (sending only the requested tracks) and reduced production, storage, maintenance and delivery costs.
- common encryption – one-time encryption and packaging of content allowing simultaneous use of multiple DRM technologies.
- templated manifests – Compact manifest for fast start-up, as well as avoiding manifest download with every segment.
- non-segmented origin files – files can optionally be stored contiguously on the server and the segments accessed via byte-range requests.
- efficient ad insertion – server-based and client-based targeted ad-insertion through the use of periods.
- support for multiple CDNs/caches with the same manifest – provide flexibility to define multiple base URL in the manifest, thus improving scalability and fault tolerance
- accessibility, rating and other content descriptions – possibility of signaling content descriptions such as accessibility, rating, audio channel configuration in the manifest.
- industry convergence for streaming delivery – avoid having to provide multiple streaming solutions, each of which requires a separate ad insertion flow, content protection scheme, and a different closed captioning format.
- vibrant ecosystem – already a strong community of encoders, content packagers, delivery platforms, and player builders has been established, providing a wide range of DASH solutions.
- ease of integration – DASH will work on any HTTP server and most mainstream media servers, meaning service providers and broadcast operators are not required to buy into new vendor-specific ecosystems or invest in specialized DASH-specific infrastructure.
One of the main challenges facing DASH after its standardization was its own flexibility, expressed through the many features and options allowed by the core specification. Being codec agnostic, for example, is a plus when supporting new codec options, but poses a challenge for encoder or player builders – which codec do you support in your DASH player? What segment encapsulation should the encoder generate? How should DRM be signaled? What closed captioning format do you support? The flexibility inherent in the standard made it more difficult to achieve interoperability between various initial implementations.
Recognizing full interoperability is the key for MPEG-DASH rapid market adoption, the DASH-IF decided to take the raw DASH standard, marry it with a codec, apply tight profiles and other restrictions, and create a baseline recommendation that everyone could use to build interoperable products and services without painful integration. Interoperability is the key to adoption because if a format “works everywhere” then its growth will accelerate. The name of this recommendation is “DASH-AVC/264 Implementation Guidelines” and you can download it from https://dashif.org. It is significant because Microsoft, Adobe, Samsung, Qualcomm, Sony, Akamai, Ericsson and 61 other members of the DASH-IF agreed on a set of recommendations which they will support. They also strive for compatibility with consortia standards, such as HbbTV, DECE, DTG, HD-Forum and DLNA. DASH-IF believes that DASH-AVC/264 supports the Internet streaming main use cases better than any existing proprietary solution. Furthermore, DASH-IF provides conformance software, a set of test vectors, and an open source reference client implementation for DASH-AVC/264. If you are considering a DASH deployment, then a DASH-AVC/264 compatible solution is the best place for you to start. For the technically inclined, here are some of the high level key constraints that DASH-AVC/264 sets in place:
- The required video codecs are AVC/H.264 Main and High profiles. Video tracks using other codecs can be included.
- The required audio codec is HE-ACC v2. Audio tracks using other codecs can be included, including multi-channel audio.
- Segment formats are based on fragmented ISOBMFF (MP4).
- The MPEG-DASH’s “ondemand” and “live” profiles are supported.
- Segments are keyframe-aligned across representations, start with a random access point, and do not vary too dramatically in duration. Therefore, players can switch easily between representations without having to download overlapping segments.
- Common Encryption is used when the content is DRM-protected.
- Closed captioning is supported using TTML-based SMPTE-TT format.
The advantage of an ISO standard is the openness with which it can be evolved and improved by industry consensus. The DASH-IF is the best vector, outside of joining MPEG directly, to propose additional features to the core MPEG-DASH standard. Participation in DASH-IF also provides the opportunity to collaborate with other industry leaders in developing new deployment scenarios and corresponding implementation guidelines for MPEG-DASH. In addition to the work done already around DASH-AVC/264, the DASH-IF has established task forces that are actively addressing other challenging areas of streaming:
Advertising Insertion – the recent DASH extensions provide tools for more efficient server-side ad insertion, and make interoperable client-side ad insertion viable. The DASH-IF Ad Insertion task force is chartered with creating guidelines and interoperability points for both of these architectures. The weekly task force discussions currently revolve around mapping existing workflows into DASH and providing a capabilities gap analysis, with a draft document expected in Q3 2013.
DRM – this task force focuses on interpretation of the DASH and Common Encryption standards to identify and explain best practices and recommendations for signaling and transmitting DRM related information in an interoperable manner. The resulting guidelines, which are included in the DASH-AVC/264 document, explain the basic parameters and signaling mechanisms, give on overview of a basic workflow, and show different use models for single keys and key rotation. They also describe simple test scenarios for testing protected content independently of proprietary DRM libraries and servers.
Live Streaming – Further optimization of DASH for live video services, including Linear TV services, is one of the key features of DASH. Due to this workflow, additional aspects in DASH-based live service offerings need to be taken into account to achieve interoperability, best user experience and efficiency. The task force provides guidelines, test cases, test vectors, test service offerings and conformance software to test interoperability for live services. In addition, the task force looks into technical challenges and potential enhancements for improved user experience such as lower latency, improved audiovisual quality and supplemental features such as trick modes.
HEVC – High Efficiency Video Coding is the latest joint ISO MPEG and the ITU-T video codec development with significantly improved compression rates. HEVC was finalized in early 2013 and is expected to provide around 50% bandwidth savings compared to AVC/H.264. Prototypes of HEVC encoding in the combination with MPEG-DASH delivery have shown astonishing quality-differentiating OTT. The HEVC task force addresses interoperability and best practices aspects for HEVC delivered through DASH. The task force collects guidelines, test cases, and test vectors to support interoperability and demonstration efforts. Technical challenges and potential enhancements are discussed and potentially addressed in the relevant SDOs.
Backend Interfaces – deploying, operating and maintaining a backend can be costly, risky and time consuming. Having some well-defined integration points between different providers is a clear help for facilitating such deployment. This group is currently focusing on the interface between an encoder and the DRM platform to facilitate and standardize the exchange of keys and DRM metadata signals. To further increase the value of the DASH delivery ecosystem, this group ensures that encoding protected content against multiple backend DRM platforms is as frictionless as possible.
Players – there are already many companies providing DASH players for desktop/iOS/Android use. In addition, a natural companion to DASH is the opportunity to build HTML5 players using the Media Source Extensions and Encrypted Media Extensions standards being defined by W3C. These browser APIs provide a way for players, implemented purely within JavaScript, to provide cross-platform decode and playback of adaptive, segmented content. In this approach, the player can be downloaded as a part of the web page content and therefore, the content provider can customize the player’s adaptation scheme and the user experience per web page. To facilitate the use of such an approach the DASH-IF has launched the dash.js project. dash.js provides a free, open source DASH player which can be used as a JavaScript player or as a reference client to implement DASH players for other platforms. Look for it on Github and give the player a try today using Google Chrome.
We strongly believe that there is a common benefit to the entire streaming ecosystem, from studios and operators to vendors to infrastructure providers, in adopting DASH. We also believe that collaboration accelerates adoption. We encourage your organization to use the DASH-IF outputs and join the DASH-IF. Take an active part in defining, tuning, adapting and growing MPEG-DASH and leverage its extended features to enable new applications and business use cases. Make the streaming format of the future today’s format of choice.
Click here or email us for more information on DASH-IF membership levels and benefits.


Komodo
talk-trading
A channel to discuss trading. For useful links and more info click the pinned messages to the right.
100 messages
Before 05-Dec-19 12:00 AM
Caglio
23-Apr-19 01:14 PM
@ComputerGenie 👴👴👴
55k satoshi, under 20k satoshi....
 It’s unbecoming.
Caglio
23-Apr-19 01:15 PM
I mean, profitable in $$$
Malti
23-Apr-19 01:15 PM
https://youtu.be/_PXU0thDHCU
I'd like to revive this as I hope we are baaatooomeeed out
1thousandx
Bitcoin pls go to moon 1hr
https://twitter.com/1thousandx
https://www.instagram.com/onethousandx/
https://soundcloud.com/1thousandx
Tip: BTC: 37mZdVbmCfvUATqC6kAHtbi2uLy5Z28n6J EOS: on...
ComputerGenie 👴👴👴
23-Apr-19 01:16 PM
CaglioToday at 8:14 AM @ComputerGenie☑Vote4me☑ 55k satoshi, under 20k satoshi.... That is a lot of money dude
Only if you personally give more value to BTC than you do KMD
(edited)
for me BTC is like a salad fork: I have some in my drawer, but they are rarely of any use
Malti
23-Apr-19 01:19 PM
have you been using KMD for payments already? (if yes, where if I may ask)
jorian
23-Apr-19 01:22 PM
i pay my NN server with KMD
polycryptoblog
23-Apr-19 01:22 PM
Hundreds of merchants via coinpayments.net
Tek
23-Apr-19 01:29 PM
today I hurt myself
holding kmd
reeeeeeee
klein
23-Apr-19 01:31 PM
some bidding here would be nice
Tek
23-Apr-19 01:31 PM
im thinking about selling some dash to buy the kmd pump
dash dumped too but not as hard
shorts about to get rekt
brace yourselfves
klein
23-Apr-19 01:36 PM
not aware of any platform where you can short kmd but we get your point
Buddz1993
23-Apr-19 01:39 PM
ye Kmd is suffering
will come back stronger
I mean a coin can't always go down right?
klein
23-Apr-19 01:39 PM
doesn't look horrible in USD
Buddz1993
23-Apr-19 01:39 PM
klein
23-Apr-19 01:40 PM
its the only thing that matters really
Buddz1993
23-Apr-19 01:40 PM
Btc is going
places
USD<BTC
USD is overrated
Hollowman9000
23-Apr-19 01:42 PM
http://i67.tinypic.com/ev8b5w.jpg
1
2
Pussy
Yassin
23-Apr-19 01:42 PM
Dont forget vote for Indenodes AR,
Mark81
23-Apr-19 01:42 PM
Vow did you pissed him off?

Hollowman9000
23-Apr-19 01:45 PM
Twitter is cancer anyway, good point
1
klein
23-Apr-19 01:46 PM
no kmd army plz
dukeleto
23-Apr-19 01:46 PM
@Hollowman9000
you so right, twitter is a cancer
Buddz1993
23-Apr-19 01:48 PM
if you had to compare Kmd to gOT what would you compare it to?
(edited)
Tek
23-Apr-19 01:48 PM
frens
I was expecting kmd to stay above 21k
Buddz1993
23-Apr-19 01:48 PM
but kmd bruh )=
Tek
23-Apr-19 01:49 PM
@jl777c
pls stop dumping your interests and tell whalebro to stop too pls, I am hurt
1
Buddz1993
23-Apr-19 01:49 PM
people buying cheap kmd
I envy them
Tek
23-Apr-19 01:49 PM
nano is pumping
few days ago I saw a whale fill a 100 btc buy order on binance at 31k
Buddz1993
23-Apr-19 01:50 PM
Indeed.
XTZ pumped also
been holding since 0,4
kinda think its going to be on top 10 very soon
Hollowman9000
23-Apr-19 01:53 PM
Tezos will best ETH
because farm animals
Twitchy McBlinkerin’s stack overflow token is so 2017
Enter the breitmans
klein
23-Apr-19 01:55 PM
http://prntscr.com/nfslwj
Screenshot
Captured with Lightshot
marked out that purple line before the fact, was buying at those boxes on the lows
FishyGuts
23-Apr-19 01:56 PM
Can a Wycoff pattern last for 1 year? Asking for a friend.
klein
23-Apr-19 01:56 PM
my thoughts along the way in red
Buddz1993
23-Apr-19 01:56 PM
Indeed
@Hollowman9000
altough it just won't reach eth value
too large supply
Hollowman9000
23-Apr-19 01:56 PM
Market cap
Yeah
637B market cap isn’t out of the question
Chuckleheads do chucklehead things
Like buy xtz at $1000/unit
Buddz1993
23-Apr-19 01:57 PM
imagine
XTZ at 1k
6 trilion market cap
lol
Hollowman9000
23-Apr-19 01:58 PM
BTC at 500B
Buddz1993
23-Apr-19 01:58 PM
too many dreams
(edited)
Malti
23-Apr-19 02:00 PM
thoughts on vechain? saw that the CTO of Deloitte's Blockchain lab joined them as an advisor
FishyGuts
23-Apr-19 02:02 PM
Soooo what’s up... who here was caught on camera kicking puppies and kids at the playground? Wtf KMD sellers.
Hollowman9000
23-Apr-19 02:03 PM
They drew first blood, not me
ARRR is up though
Tek
23-Apr-19 02:05 PM
tfw bagholder now
ComputerGenie 👴👴👴
23-Apr-19 02:10 PM
btfd
klein
23-Apr-19 02:20 PM
scoop up dem cheap coins
Buddz1993
23-Apr-19 02:21 PM
can go lower
ComputerGenie 👴👴👴
23-Apr-19 02:22 PM
everything always can
Buddz1993
23-Apr-19 02:22 PM
it depends on the point of view
Tek
23-Apr-19 02:23 PM
I scooped up a mini bag of kmd
: D
Buddz1993
23-Apr-19 02:24 PM
I have 35 usdt I can't withdraw from exchange I think Im go trading with that
I can make fortunes
Tek
23-Apr-19 02:25 PM
I bought nano too
lmao
Buddz1993
23-Apr-19 02:25 PM
FOMO?
Tek
23-Apr-19 02:25 PM
yeah
if you look at the market as a whole its the best store of value there is though. no inflation, all coins are circulating
ComputerGenie 👴👴👴
23-Apr-19 02:26 PM
it depends on the point of view
It is technically possible to code the inverse of rewards


ODAS Studio
Workspace Path
Change
Record
Determine if separated audio is recorded
Play
Timestamp
Duration
Filename
Delete
{{recording.timestamp.toLocaleString()}}
{{recording.filename}}
{{recording.timestamp.toLocaleString()}}
{{recording.duration.toFixed(2)}} s
{{recording.filename}}
Sure


Introduction
The life of a building energizes its inhabitants from the inside out and the outside in. The building 42-63, in Jackson Heights, Queens, is a place of shelter both for people and language. Language is spoken privately, between families, friends, and neighbors. However, language does not live only in the confined spaces of individual apartments: it resounds against the floors, walls, and ceilings that shape the building. The voices speakers carry with them travel beyond the building in journeys that cover the city, the country, and the world.
42-63 City Microcosm argues that language contextualizes the city and colors it with its needs and interests. Language also sustains the city’s communities. The network of that language’s speakers grows into other areas, where the language may or may not be expected. The case study focuses on the current transition of building 42-63. While 42-63 has traditionally housed many Polish speakers, the demographic makeup of the neighborhood is changing: With many Poles moving out, the language of 42-63 has changed significantly.
Building Dynamics
Within the residential building, shared language opens up spaces beyond the single unit household. New York City's housing history is well-known for its collectivism. Long-term residents are often familiar with more than their own apartment, and know their buildings and neighborhoods well, fostering trust based on common languages and cultures, as well as shared space. At 42-63, just under half of the building’s population is first generation Polish immigrants. Many of the first-generation Polish immigrants came to this building because a member of their extended networks of family and friends already lived in it. The building itself wass built in 1939, and physically, it has hardly changed, with almost no renovations done since the time of its construction. It stands strong and distinct against an otherwise quintessentially dense residential Queens street.
The surrounding neighborhood is a predominantly residential area; tall multi-family occupancies line the block. 42-63 is squeezed between a peppering of more disconnected, stoic dwellings. Many residents within 42-63 have expressed that their comfort comes in large part from their convenient access to main subway lines, the hospital, churches, a main shopping center, and grocery stores.
Almost all of the older inhabitants described a changing atmosphere in the building. Many of its residents are moving out as a new immigrants move in. Nevertheless, the tight-knit community of 42-63 has survived, likely because the old tenants have formed relationships with the newer ones.
Social Private Private Social
The building can often feel like a shared living situation spread across separate floors and apartments. Polish traditions are maintained and even contested internally since the occupants are originally from various regions in Poland. Though inhabitants identify as Polish, that label can mask diversity of culture and dialect that would have been tangible in Poland.
Yet, most of the culture and linguistic traditions residents engage in take place within the individual units. Residents may go to one apartment to celebrate Christmas, and another for Easter, but this interconnectivity is hidden behind the facade of the building.
In the larger social context of New York City, and with limited resources or venues that promote Polish language or culture in the neighborhood, these identities can be as opaque as the building. This dynamic makes the family and social networks essential in transmitting language and culture. It is the families that must pass down the language that sustains the social network, and the apartments as central sites for language preservation.
Literacy Passed Down
A combination of parents' values, community member involvement, and Polish Saturday Schools has resulted in many of the second generation Polish immigrants of 42-63 retaining the Polish language. These second generation Polish immigrants have had access to upward economic mobility, which has led them and their families to move out of the building sooner. Though they are becoming more dispersed, it is clear that the social network of the building has had its effect.
Polish literacy brings with it a number of benefits that strengthen ties in New York City and extend ties outside of it. The bilingualism of young children allows them to communicate with their extended family, and has allowed for older, Polish-speaking family members to look after young children. Bilingualism in its own right, regardless of the language combination has lifelong cognitive benefits, and developing that skills set early in life is invaluable.
However, it is unlikely that this second generation (much less the third) will stay in the apartment building to raise their families and live their lives. Most have already moved out or are planning their adult lives elsewhere, but the language instilled in them will move and live with them. 43-63 provides a unique look into the changing dynamics of language and identity among the Polish speaking community in New York City. Whether the third generation Polish immigrants will grow up to be Polish speakers once families move away is yet to be determined. All we can say for now is that it is a building in transition, as Polish speakers have more choices over where to live, they may move away from their Polish speaking microcosms.
Language Beyond Building
Opportunities to speak or engage with the language outside of the block is very limited. Friends and family members are spread out in the surrounding neighborhood, and though the network reaches different boroughs throughout the city, it is diffuse, and no longer concentrated into an enclave. Recently, many Polish stores in the neighborhood of 42-63 have closed. The locales are now occupied by other businesses, and to outsiders, there may be no evidence of a Polish community. But, to members of the community, it still exists through a network of individuals who establish informal and temporary sites of cultural practice, typically during holidays.
Though, like many things in New York, the Polish spoken in the network of 42-63 is different both from that spoken at the peak of Polish immigration and that spoken in Poland. The political, social, and spiritual climate that influences and shapes the language in Poland is vastly different from that in New York, and in Poland, history has marched on as well. But the Polish spoken at any given time travels far and beyond the space and time it came from.
Many of the older women in this network recalled fond memories of taking trips with Polish community clubs. 76B, a vital player in the 42-63 network, is a working artist. In her building, she lives with her sisters, who are also single women. She is very involved with the Polish American Photography Club and her work is exhibited in various gallery spaces supported by Polish groups. Another woman (the matriarch in a family of women in 42-63) used to go on trips organized by the NYC-based daily Polish newspaper. They travelled across the country, sometimes as far as Utah for recreation and sightseeing. These trips have since been taken over by American tourist organizations, and their focus has shifted from nature walks and sightseeing to bars and restaurants. As a result, they have stopped attending these trips, and correspondingly, those connections have been lost to a time and place.
The individual travels as one in the many, in 42-63 the group is one part of the many. In the building we are one again, also part of the many, pushing the boundaries of where language is spoken and what is spoken of. The methodology exemplifies an embedded ethnography practice that takes an intimate perspective on the daily lives of people within a microcosm of the city. The language makes strides towards inclusivity in subject matter and contextualizes a unique moment in time when Polish immigrants blend in to their surroundings surreptitiously. The Polish traditions described are the main force holding the population together outside of language.
Laura B
MSAAD, 2017, Architect