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having speci c goals and strategies about how you are going to get there. The following steps will help you translate what you want into the will to make it happen: Evaluate your current eating habits as they relate to dietary restraint and dietary inhibition. What are your strengths and weaknesses Choose a weight-loss method with a food component that supports the concept of exible restraint. Extreme diets or diets that lend themselves to on-again, off-again eating can lead to dietary disinhibition and uncontrolled eating. De ne what you want for yourself in terms of weight management. Evaluate the methods you are considering in relation to their ability to give you what you really want. Create a set of short- and longer-term goals. Determine what will motivate you to get from one goal to the next. Develop and implement strategies that will feed the motivators and help make them a reality. For each of the basic components of a comprehensive weight-loss method, think of at least four strategies you can implement today. Now implement them for a few days and see if they work for you. If they do, keep them. If they don t work for you, develop and test new strategies. Identify ve of your temptation foods. Develop speci c strategies for dealing with them in a way that will reinforce learning the skill of exible restraint.

A model is any incomplete representation of reality, an abstraction Models can be physical representations of reality A subscale aircraft is used in a wind tunnel to test the aerodynamics of the real aircraft; this subscale aircraft does not contain the instrument panel used by the pilot or the seats in which passengers sit because they are not relevant (we think) for testing the aerodynamics of the aircraft Similarly, models can be mathematical A random number generator can be used to model the propensity of a coin to turn up heads or tails in a ip Similarly, we can develop either an analytic or a simulation model of an aircraft s aerodynamics or an information system s response to user inputs The wind tunnel data taken from the physical model of the aircraft can be used to re ne the simulation data.

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isometric muscle contractions (Clarkson & Hubal 2002) Maximal eccentric muscle contractions generate 15 19 times greater force than isometric contractions (Byrne et al 2004) Further, motor unit activation is less in eccentric contractions than concentric and isometric contractions, and therefore less motor unit activation is required for a given force output (Byrne et al 2004) This is generally considered to be caused by an increased ability to generate tension and a greater distribution of load across the same number of bers as the muscle lengthens (Clarkson & Hubal 2002) The mechanism by which force is generated during eccentric contractions does not involve ATP breakdown, rather the cross-bridges are mechanically detached (Byrne et al 2004).

However, during repeated low intensity eccentric activity (distance running), other factors such as metabolic depletion, calcium in ux, and the generation of reactive oxygen species may also contribute to the exercise-induced muscle damage (Byrne et al 2004) While it is well accepted that prolonged or unaccustomed (unaccustomed muscle length or number of repetitions) eccentric muscle contractions result in DOMS, the initial event that leads to muscle ber injury remains unclear (Proske & Allen 2005) A number of hypotheses have been proposed to identify and explain the initial event: mechanically induced mechanisms, temperature-induced mechanisms, insuf cient mitochondrial respiration; and free radical production (Armstrong et al 1991) The suggestion that mechanical factors have an integral role in the exercise-induced muscle ber injury is based on the unique characteristics of eccentric muscle contractions (greater force production and longer muscle lengths).

Thinking on the Web: Berners-Lee, G del, and Turing, by H. Peter Alesso and Craig F. Smith o Copyright 2006 John Wiley & Sons, Inc.

The simulation data can be used to guide additional wind tunnel tests Qualitative models are also quite useful The set of requirements for a system is an example of a qualitative model that serves as a model of the system s performance and capabilities Finally, each of us has a number of mental models that we use in everyday life However, in every case the essence of a model is the question or set of questions that the model can reliably answer for us Before describing the types of models, discussing the types of questions that can be answered is important The questions can be divided into three categories: descriptive (or predictive), normative, and de nitive A de nitive model addresses the question of how should an entity be de ned; this is the major category of questions that will he addressed in this book.

Eccentric muscle contractions have also been shown to result in higher intramuscular temperatures than concentric contractions (Nadel et al 1972), which may have been a consequence of the reported higher metabolic rate in this study This increased muscle temperature may result in enhanced membrane degradation and is thought to be the result of a reduced rate of heat removal as opposed to higher heat production (Armstrong et al 1991) Insuf cient mitochondrial respiration, which may result in reduced removal of Ca2+ from the.

The focus is building a de nition of how the system is being designed, in terms of its inputs and outputs, functions, and resources A descriptive model attempts to predict answers to questions for which the truth may or may not be obtained in the future Descriptive models are the most commonly used in science and engineering Executable models, which will be discussed in 12, are descriptive models because they are predicting the behavior of the system s design in speci c situations given the modeled design de nition of the system Normative models address how individuals or organizational entities ought to think about a problem and guide decision making A normative model for decision making, in particular deciding about the engineering of a system, is developed in 13 Every modeling technique requires a language to establish a representation of reality.

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