Emme Model
Benita Vandervoort
Melissa Owens Miller (born June 30, 1963), known professionally as Emme, is an American plus-size model, social reformer and body image advocate. Emme gained worldwide fame as the first full-figured model chosen for People magazine's 50 Most Beautiful People, first in 1994, then for a second time in 1999. Emme is largely recognized in the 1990s as the leading model in the profession, as well as its highest earner.[1][2]
In her book, she tells the story of her stepfather instructing her at age 12 to strip down to her underwear while he took a black marker and drew circles on her outer thighs, hips, stomach and arms to highlight where she needed to lose weight.[1]
Syracuse University awarded Emme a full athletic scholarship and she became a member of the crew team; she is also a member of the Syracuse University Orange Plus Hall of Fame, where she was inducted for her significant contribution to women's athletics and to the sport of rowing[3] In addition, Emme was invited to the U.S. Olympic Team trials, as well as several U.S. National Team trials.
Emme's sister Melanie is also a model.[7] Emme married Phillip Aronson in 1989 and moved to New Jersey. In 2001, Emme's daughter Toby was born. She separated from her husband in 2007, and later finalized her divorce in 2008.[2][8] Emme's daughter Toby Cole was recently in Teen Vogue and is signed at IMG Models.[9]
Transportation professionals around the world, including metropolitan planning organizations (MPOs), departments of transportation (DOTs), transit agencies, toll road operators, mobility service providers, and transport advisory consultants rely on the OpenPaths mobility simulation software to understand the urban, metropolitan, regional, and national movement of people.
By providing an evidence base to evaluate mobility infrastructure, policy, and multimodal transport system planning and design, the OpenPaths suite of transport modeling applications allows users to:
OpenPaths AGENT is game-changing travel demand modeling software used to forecast mobility decisions at any level of detail, from zones to individual people. From changing demographics, or residential and work locations, to daily trip patterns including time, location, and mode choice, OpenPaths AGENT captures realistic representations of mobility to address 21st-century transport planning challenges. And with machine learning built-in, OpenPaths AGENT takes advantage of new mobility data sources to achieve improved model calibration at reduced time and cost.
OpenPaths EMME is a complete transportation forecasting application for planning the urban, regional, and national movement of people. OpenPaths EMME is used to create digital transport models for travel demand forecasting, traffic planning, transit service planning, and related needs to provide an evidence base for transport strategy and policy decision-making. By modeling the people, places, processes, and options involved in travel, transport planners can evaluate transport system performance on any number of virtual scenarios prior to implementation.
OpenPaths DYNAMEQ is a traffic simulation and dynamic traffic assignment (DTA) software for transport planning and traffic management studies of virtually any size. Whether you are implementing freeway or urban congestion pricing, planning major infrastructure rehabilitation, or undertaking road improvements, transit planning or neighborhood redevelopments, OpenPaths DYNAMEQ allows you to accurately assess the related traffic and mobility impacts.
OpenPaths CityPhi provides an API to produce captivating data visualizations, interactive animations, and insightful analytics about mobility and location by turning data about the movement of people and things, their location, and their changing social, economic, and physical characteristics into dynamic scenes. With OpenPaths CityPhi you can create applications that let users explore time, space, and motion with interactive animations that stay responsive at scale.
The individual OpenPaths applications are no longer licensed separately. OpenPaths licenses are available in two editions: OpenPaths Advanced which includes OpenPaths EMME, OpenPaths CUBE, and OPenPaths CityPhi, and OpenPaths Ultimate which includes everything in the Advanced edition plus OpenPaths AGENT and OpenPaths DYNAMEQ.
Or, if you are ready to go, simply run through the OpenPaths installer, and change your product level to OpenPaths Ultimate. Additional term licensing fees may apply. There is no need to reinstall applications.
Reference Systems
OpenPaths applications offer high-performance scientific, graphics, and interactive computing capabilities. Certain features benefit from high-performance computing (CPUs) and dedicated graphics processors (GPUs). Requirements vary by application. Reference systems below provide illustrative guidelines:
Base system example
A perpetual license of Bentley software is a one-time purchase, with a yearly maintenance subscription, called SELECT. This includes 24/7/365 technical support, learning resources, and the ability to exchange licenses for other software once a year. With SELECT, you will benefit from:
For larger organizations with in-depth requirements, we offer plans to provide global pricing and access to our comprehensive portfolio of solutions and success plan services. Contact us about how to get access to software, global best practices, implementation services, training, and technical support to help your organization realize its full potential while addressing your unique needs.
And change the industry did. In September, during NYFW, Emme finally made her debut, walking for the consistently well-cast Chromat show, which had curve models and plus-size models and transgender models and Emme, who is 54 years old.
Seeing travel models in various ways can yield additional insights and help foster a better understanding of planning scenarios. Increasingly disaggregate models, including activity-based travel models (ABM), require new visualization techniques like simulation playback to understand mobility over time and support essential QA and model validation to ensure model quality.
Emme burst onto the fashion scene as the first hugely successful plus size super model, and throughout her career as an actress and super model Emme Aronson has inspired full-figured women to feel confident in their skin. But today she's inspiring people in another way; she is a cancer survivor, beating Hodgkin's Lymphoma.
I would later learn that she was not only forging this battle against cancer, but she was also embarking on a difficult divorce. However a lot has turned around this past year for this brave hard working mom.
Her recovery has led her to change to a holistic lifestyle both in what he eats and in how she and her daughter live in their home. "I wanted this next step to be self-sustainable," she said. That meant overhauling her eating habits; including going as organic as possible, juicing in the summer, vegetable soups in the winter. It meant changing to natural cleaners, like baking soda and vinegar, and making improvements to her home and garden. These days Emme shares her ideas and tips on websites that offer simple, easy steps.
Cancer changed her life--but Emme believes it was the greatest teacher. She's been cancer-free for a year and believes living a greener lifestyle has played a major role in her good prognosis. I learned a lot from her and you can too. Visit -green-with-emme.ivillage.com/green/
Nearly all web-based interfaces are written in JavaScript. Given its prevalence, the support for high performance JavaScript code is crucial. The ECMA Technical Committee 39 (TC39) has recently extended the ECMAScript language (i.e., JavaScript) to support shared memory accesses between different threads. The extension is given in terms of a natural language memory model specification. In this paper we describe a formal approach for validating both the memory model and its implementations in various JavaScript engines. We first introduce a formal version of the memory model and report results on checking the model for consistency and other properties. We then introduce our tool, EMME, built on top of the Alloy analyzer, which leverages the model to generate all possible valid executions of a given JavaScript program. Finally, we report results using EMME together with small test programs to analyze industrial JavaScript engines. We show that EMME can find bugs as well as missed opportunities for optimization.
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