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As the firm produces more, q obviously goes up, but p must fall What happens to TR depends on whether the increases in q (output effects) are bigger than the decreases in p (price effects) You can see from Table 12-1 that as the monopoly increases production through the first four units, total revenue keeps increasing, meaning that the gains from selling more units more than offset the declines from getting less money per unit At an output of five units, the two effects cancel each other out And for higher outputs, total revenue falls because the negative effect of less money per unit overwhelms the positive effect of selling more units Because marginal revenue tells you how total revenue changes as you increase output, the changes in TR caused by increasing output show up in MR as well.

Declaration static int EVAL_BODY_INCLUDE Description Returned by the doStartTag method to include the evaluation of the tag body into the output stream (current instance of JspWriter). Returned by the doEndTag method to direct the JSP to continue to evaluate the JSP page. Returned by the doStartTag and doAfterBody methods to omit evaluation of the tag body. Returned by the doEndTag method to omit evaluation of the remainder of the JSP page.

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The vice president of HR at a health care company in the Midwest put it bluntly: Identify what the job is worth to the company, then pay accordingly, regardless of gender It doesn t take a brain surgeon to figure this out Closing the Gap Once a gender-based pay gap is identified, the majority of HR professionals said it could be closed through pay corrections; that is, increase the female employee s pay gradually until it is equal to the male s Some suggested it might take only one to two years, while others said it could take five years to phase in raises..

We have discussed how files can be used for the implementation of storage homes and storage object incarnations. The usage of files for achieving persistence, however, is overly simplistic. File systems usually do not support concurrency control and transactional access.

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until a single cluster containing the whole set is obtained In each iteration, the two clusters that are chosen for joining are two clusters with the closest distance to each other The result of hierarchical clustering is a binary tree; descendants of each cluster in that tree are the two subclusters of which the cluster consists The distance between two clusters in the tree re ects their correlation distance Hierarchical clustering provides a visualization of the relationships between gene expression pro les (see Fig 414) K-means clustering groups genes into a prespeci ed number of clusters by minimizing the distances within each cluster and maximizing the distances between clusters The K-means clustering method rst chooses k genes called centroids (which can be done randomly or by making sure that their expression pro les are very different).

If you look at Figure 12-1, you can see that MR is always declining That s because the negative price effect of getting less per unit keeps getting stronger and stronger relative to the positive quantity effect of selling more units Pay attention, here comes the science! As we note earlier in the chapter, for straight-line demand curves like the one you see in Figure 12-1, the MR curve is a straight line with twice as steep a slope as the demand curve If you know calculus, you can prove that the MR curve falls twice as fast as the.

The MessageDrivenContext interface, a subinterface of EJBContext, provides access to the runtime messagedriven context that the container provides for a message-driven enterprise bean instance. The container passes the MessageDrivenContext interface to an instance after the instance has been created. The message-driven context remains associated with the instance for the lifetime of the instance. The MessageDrivenContext interface adds no new methods to the EJBContext interface. However, messagedriven beans must not call the getCallerPrincipal method, the isCallerInRole method, or the getEJBHome method.

It then examines all gene expression pro les and assigns each of these to the cluster with the closest centroid The position of a centroid is recalculated each time a gene expression pro le is added to the cluster by averaging all pro les within the cluster This procedure is iteratively repeated until stable clusters are obtained, and no gene expression pro les switch clusters between iterations The K-means method is computationally less demanding than hierarchical clustering However, an obvious disadvantage is the need for the selection of parameter k, which is generally not a trivial task 4352 Alternative Clustering Methods for Gene Expression Pro les Alternative clustering methods that are used with gene expression data include the self-organizing map (SOM) and random forest (RF) clustering An SOM is a clustering method implemented with a neural network and a special training procedure.

H(Hartley) (A)

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