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No Fear Translations of Shakespeare’s plays (along with audio!) and other classic works
Flashcards
Mastery Quizzes
Infographics
Graphic Novels
AP® Test Prep PLUS
AP® Practice & Lessons
My PLUS Activity
Note-taking
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No Fear
provides access to Shakespeare for students who normally couldn’t (or wouldn’t) read his plays.
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tutor high school students in a variety of subjects. Having access to the literature
translations helps me to stay informed about the various assignments. Your summaries and
translations are invaluable.
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Teaching Shakespeare to today's generation can be challenging. No Fear helps a ton with
understanding the crux of the text.
Kay
H.
Testimonials from SparkNotes Customers
No Fear provides access to Shakespeare for students who normally couldn’t (or wouldn’t) read his plays. It’s also a very useful tool when trying to explain Shakespeare’s wordplay!
Erika M.
I tutor high school students in a variety of subjects. Having access to the literature translations helps me to stay informed about the various assignments. Your summaries and translations are invaluable.
Kathy B.
Teaching Shakespeare to today's generation can be challenging. No Fear helps a ton with understanding the crux of the text.
Kay H.
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Food choice 2 is abundant, but less profitable than food 1. E/h for food source
2 is not very high, but it takes much less effort and time for the animal to
find food choice 2.
The model assumes the animal is holding food 2, meaning that there is no search
time involved for food choice 2 since the animal has already found it. The
animal stands over the food and must debate whether to eat it: is the immediate
consumption of food choice 2 a better action than moving on and looking for some
of that fine food choice 1? We can put this debate into mathematical terms:
If E2/h2 > E1/(s1 + h1) then the animal should eat food 2.
If the profitability of food choice 2 is greater than the energy of food choice
1 divided by the sum of the search and handling time of food source 1, then
eating food 2 is the better move. If the energy per time gained by going in
search of food source 1 is higher, then the animal should pass by food choice 2
and keep searching for food type 1.
Think about the problem posed if the animal was standing above food choice 1
rather than food choice 2. Because food type 1 is more profitable, the animal
should always eat it if it comes upon it. Therefore, for the model's purposes,
We only consider food type 2 because type 1 is hard to come by.
From the model for contingency theory, we can see that inclusion of a food type
in an animal's diet is dependent only on the abundance of better food choices,
and is independent of that food type's own abundance. The model predicts that
when all food types are abundant, diets are restricted to fewer types, because
the animal can afford to be choosier. With this model, we can often predict an
animal's optimal diet. However, the animal itself will not always be able to
predict his own ideal diet because the model assumes the animal has perfect
knowledge of available resources. In order to know the benefits of two food
types, the animal must consume both and observe the relative abundance of both
types. And so, what we see in nature does not follow the model exactly, but it
does come close.
Marginal Value Theory
Marginal value theory, also called patch choice theory, is a form of the
economic law of diminishing returns. An
animal feeding at a food patch must decide when to leave the patch in search of
another. The more of the patch the animal consumes, the lower the rate of
return will be for the remainder of the patch because the food supply is running
out. Using calculus, we can determine the optimal time for the animal to leave
the patch and search for a new one. When the profitability of the patch
lowers enough to equal the profitability of an average patch, including the time
it will take to search or travel to the new patch, the animal should leave.
Mathematically, the optimal time to leave is: dE(h)/dh = E(h)/(s+h). You should
be aware this formula exists, but need not know how to use it. There is a
simpler, graphical method for determining the optimal time to spend at any one
patch.
Figure %: Diminishing rates of return at a food patch
As we can see in the , the rate of calorie
consumption decreases as the animal spends more time at one patch (the slope of
the graph decreases). The total calories continues to increase, but the animal
would benefit more by finding a fresh patch from which the rate of consumption
would be higher.