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with response to a combination of relaxation training and thermal biofeedback, suggesting that the presence of the trait anger or depression could indicate nonpharmacological interventions as a rst line treatment Jacob et al (1983) found that headache patients without signi cant depressive syptomatology responded better to relaxation training than those with depressive symptomatology These data suggest that a combination of pharmacological and nonpharmacological interventions may be useful, such as nonpharmacological management of headache combined with pharmacological management of depression CBT, which has received extensive support for treating anxiety and depression, may be more useful when comorbid conditions are present Finally, significant reductions in anxiety and depression typically occur following behavioral treatment, regardless of the headache type or the extent of headache relief (Blanchard et al, 1986; Blanchard, Steffek, Jaccard, & Nicholson, 1991).

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Environmental Factors It is also important to be mindful of environmental factors/ consequences that may be serving to maintain pain, as pointed out long ago by Fordyce (1976) Fowler (1975) has applied this perspective to headache patients A patient is most likely to learn pain behavior when (a) pain behavior is positively reinforced or rewarded, or (b) well behavior is insuf ciently reinforced, punished, or aversive Therapists can unwittingly become a part of the learned pain behavior process in several different ways Attention from others is a near universal reinforcer; the sympathetic ear of a therapist can be especially powerful Medication prescribing practices can foster untoward learning effects as well Palliative medications are often prescribed on an as-needed basis, accompanied by the caution, Take this only when you really need it; it is powerful and may be addicting.

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When instructed in this manner, many patients will delay taking the medication until their pain becomes barely tolerable or near maximum level If the medication effectively relieves the headache, medication-taking behavior has become strongly reinforced and is likely to become more frequent in the future (based on principles of learning theory) Similar factors come into play when treating patients whose headache severity has markedly compromised their day-to-day functioning (a common occurrence with posttraumatic headache) Such patients are typically instructed, Do only what you can or continue activities until the pain becomes unbearable The patient begins an activity, experiences increased pain, and then stops Stopping the activity reduces discomfort and makes the patient less likely to engage in activity in the future Consequently, therapists need to probe for environmental conditions, including familial.

Farmer and Patterson, 1991

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1082 Detection of Critical Nodes and Links An alternative way to enhance fault tolerance is to make data sinks or network controllers aware of critical nodes and links in the network Algorithms for detecting critical nodes and links based on global knowledge are well known However, their use in sensor networks is limited, since the controllers may not be able to learn the overall network structure in a dynamic environment It is therefore preferred that sensors themselves detect locally critical links and/or nodes and report them to the controllers Several localized de nitions of critical nodes and links, using topological or positional information, are introduced in ref [26] A node is critical if the subgraph of its p-hop neighbors (without the node itself) is disconnected Three de nitions of critical links are proposed, based on verifying common p-hop neighbors, loop length, and critical status of link endpoints, respectively.

The experiments with random unit graph model of ad hoc networks show high correspondence of local and global decisions The errors mostly occur when alternative routes exist but are relatively long Note that for a given particular report path, the reporting sensor and the network controller could be located in the same component after failure of a sensor on the route between them, and therefore the criticality of that sensor does not necessarily imply the criticality of the overall route, as an alternate route may already exist However, in the case of monitoring and reporting by many or all sensors and multiple reporting paths, the criticality of a node is likely to require network maintenance The notions can be generalized to the case of critical k-connectivity of the network Localized algorithms for testing k-connectivity are proposed in ref [47].

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