Instantly access a collection of vintage electrics, classic acoustics and more. Access alternate tunings on the fly. The lightweight alder S-type body, one-piece maple neck with rosewood fingerboard, and proprietary tremolo bridge deliver total comfort and playability, while the custom-wound pickups serve up loads of sonically rich tone. Add in our proprietary Variax HD technology, and you get a guitar that goes above and beyond the call of duty.
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Scientific modelling is a scientific activity, the aim of which is to make a particular part or feature of the world easier to understand , define , quantify , visualize , or simulate by referencing it to existing and usually commonly accepted knowledge. It requires selecting and identifying relevant aspects of a situation in the real world and then using different types of models for different aims, such as conceptual models to better understand, operational models to operationalize , mathematical models to quantify, and graphical models to visualize the subject. Modelling is an essential and inseparable part of many scientific disciplines, each of which has its own ideas about specific types of modelling. By a model is meant a mathematical construct which, with the addition of certain verbal interpretations, describes observed phenomena. The justification of such a mathematical construct is solely and precisely that it is expected to work—that is, correctly to describe phenomena from a reasonably wide area. There is also an increasing attention to scientific modelling  in fields such as science education ,  philosophy of science , systems theory , and knowledge visualization.
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The EMF project is a modeling framework and code generation facility for building tools and other applications based on a structured data model. From a model specification described in XMI, EMF provides tools and runtime support to produce a set of Java classes for the model, along with a set of adapter classes that enable viewing and command-based editing of the model, and a basic editor. EMF core is a common standard for data models, many technologies and frameworks are based on.
Financial risk modeling is the use of formal econometric techniques to determine the aggregate risk in a financial portfolio. Risk modeling is one of many subtasks within the broader area of financial modeling. Risk modeling uses a variety of techniques including market risk , value at risk VaR , historical simulation HS , or extreme value theory EVT in order to analyze a portfolio and make forecasts of the likely losses that would be incurred for a variety of risks. Such risks are typically grouped into credit risk , market risk , model risk , liquidity risk , and operational risk categories. Many large financial intermediary firms use risk modeling to help portfolio managers assess the amount of capital reserves to maintain, and to help guide their purchases and sales of various classes of financial assets.