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2. IN VITRO CULTIVATION OF ENGINEERED TISSUES 2.1. Overall Approach There is a serious lack of suitable donor tissues for transplantation, along with an increasing number of patients in need of transplantable tissues and organs. The disparity between the need and availability of donor tissues has motivated the tissue engineering approach, aimed at creating cell-based substitutes of native tissues. The overall concept of tissue engineering is depicted in Fig. 6.1. Living cells are

Strength of association: An average ES from several studies. Consistency: Effect seen in different places, by different people, at different times, and in different circumstances. Specificity: Limited to a single cause for a single effect, but if other criteria are met, lack of specificity is not a fatal f law. Temporal sequence: Does physical activity precede changes in mental health Dose-response gradient: Change in the dependent variable is dependent on increased dose or duration of exposure (e.g., exercise). Biological plausibility: Results are in harmony with understanding of the response to cells, tissues, organs, and organisms to stimuli. Coherence: Possible mechanisms should not conf lict with our understanding of the natural history and biology of mental illness. Experimental evidence: Several Grade A and B studies support the predicted relationship. Source: The Environment and Disease: Association or Causation by A. B. Hill, 1965, Proceedings of the Royal Society of Medicine, 58, pp. 295 300.

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Many people find it helpful to use a name that also identifies the type of object. In the preceding example, I use ob as the prefix to identify the fact that this control is an OptionButton.

Figure 9.8 In this diagram, a single unknown node with ranges to six different beacons localizes itself using multilateration. The ground truth position of the unknown node is circled. The X s mark the best estimate after each iteration of least squares, with darker shades indicating higher iterations.

In general, for an erroneous path of weight d, 1 2

as possible (eg, by offering child care during interviews for working participants, by providing transportation, or by using phone interviews) Incentives for participation may be offered Funds to support the tracking of participants should be included in evaluation budgets, and lower-cost options should be attempted before moving on to more costly tracking efforts To prevent condition-related attrition, it is especially important to consider the features of the different conditions that may in uence the relative desirability of participation Sometimes, special incentives can be offered in the otherwise less-attractive condition, as long as this does not obscure the program effect of interest or create any ethical problems (for additional suggestions on reducing attrition and tracking clients over time, see Ribisl et al, 1996) Despite the best use of preventive steps, some attrition may occur.

10.8 TOPOLOGY CONSTRUCTION AND CONNECTIVITY WITH CONSIDERATION OF FAULT TOLERANCE Since a wireless sensor network is usually composed of a large number of unreliable sensor nodes, fault tolerance is an important requirement for topology construction. In particular, the network connectivity should be preserved even when some of the sensor nodes fail or deplete their power. With the use of smaller transmission power, most topology control algorithms actually decrease the number of possible routing paths between any pair of nodes. The topology thus derived is more susceptible to node failure. For instance, if node v7 in Figure 10.3 fails, the network will be partitioned into three disconnected components. One way to construct fault-tolerant topology is to construct a k-vertex connected network. Note that a k-vertex connected network is k 2 1 fault-tolerant, that is, it can tolerate failure of at most k 2 1 nodes. A 3-vertex connected network is given in Figure 10.22. (For simplicity, the term k-connectivity is used to refer to k-vertex connectivity.) An alternate way to enhance fault tolerance in topology construction is to make data sinks or network controllers aware of critical nodes and links in the network, so that additional sensors can be woken up or deployed on demand in the network. A node is de ned to be critical if the subgraph of its p-hop neighbors (without the node itself) is disconnected [26]. Similar de nitions were given in ref. [26] for critical links. In this section, we rst discuss the properties of k-vertex connected topologies and present several algorithms that construct such topologies. Then we discuss localized algorithms that detect such nodes and links.

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