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Use of Scanning Electrochemical Microscopy (SECM)

pendent Transition Matrix (i.e., a transition matrix that evolves as a function of the speculative default rate, which in turn depends on the state of the economy). In CreditPortfolioView, Tom Wilson de ned a shift operator that would shift the probabilities in a transition matrix up or down depending on the state of the economy. Hence, this shift operator could be expressed as a function of the speculative default rate. The logic of this shift operator is provided in Exhibit 4.23. As the economy contracts, the shift operator would move migration probabilities to the right (i.e., as the economy contracts, it is more likely for an obligor to be downgraded than upgraded). Conversely, as the economy expands, migration probabilities would be shifted to the left. In the Rutter Associates Demonstration Model, we implemented such a shift parameter, by estimating the parameters of the shift operator from historical upgrade and downgrade data. That is, using historical transition matrices, we estimated a function that would transform the transition matrix based on the state of the economy. In order to determine how well the model works, we compared our simulations to actual cumulative default rates. Exhibit 4.24 provides an illustration of the results. (Again note that these are in-sample predictions.) Valuation In the Demonstration Model, the valuation module takes the simulated rating of the obligor, and facility information, as the inputs to

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EXHIBIT 7.4 Outstanding Bank CLOs by Domicile of Obligor 2000 Source: Alexander Batchvarov, Ganesh Rajendra, and Brian McManus (Merrill Lynch), Synthetic Structures Drive Innovation, Risk, June 2000.

(Continued)

All three of the advances reviewed thus far in this section are concerned with the planning and allocation of risk-reducing interventions. We will suggest 10 kinds of interventions that have received some combination of empirical and conceptual support as risk factors for violent behavior among mentally disordered offenders, as described earlier in this chapter. While each of these appears promising , a clearer verdict on the risk-reducing potential of each will await the results of programmatic research on the delivery of such interventions, under somewhat controlled conditions, to different groups of mentally disordered offenders, in different contexts and sometimes in different combinations, with results gauged by using sensitive outcome measures of violence that include self- and collateral report in addition to of cial records. These interventions will be described at the individual, program, and policy levels. First, there are seven individual-level interventions that appear promising: (1) substance abuse treatment, particularly when designed for individuals with cooccurring disorders, (2) anger control training, (3) family interventions and social support, (4) employment assistance and vocational training, (5) psychotropic medication, (6) housing support, and (7) other clinical services to address symptoms such as violent fantasies. Second, two interventions could be described at the programmatic level. They are psychosocial rehabilitation/skills-based training in a broad range of skills important in vocational and interpersonal functioning, and specialized case management (Assertive Community Treatment and intensive case management are two of the best examples). Finally, at the broadest policy level, the supervised treatment and management that occurs in the community under policies such as conditional release and outpatient commitment have demonstrated value in reducing violence risk.

The resistance of a relatively low frequency aluminum or another metallic interconnection of a regular shape can be determined from its dimensions (length and cross-sectional area) and the resistivity of its material. The high-frequency effect on the resistance can be accounted for by incorporating the decrease of the effective cross section due to skin effect. However, a copper interconnection deserves a special treatment because of its unique fabrication. The effective resistivity of a copper interconnection is expected to increase due to scattering of the currentcarrying electrons from the interconnection surfaces and other grain boundaries [39]. Further, as the cross section of the copper interconnection is reduced, the area occupied by the highly resistive diffusion barrier around the copper line will no longer be negligibly small, thereby increasing the effective resistance of the copper interconnection structure. Both the barrier effect and the surface scattering effect depend on the quality of the interface between copper and the diffusion barrier, pro le of the barrier layer in the overall cross-sectional pro le of the interconnection, minimum barrier thickness dictated by the reliability constraints, and operating temperature of the interconnection line. The barrier pro le is determined by the deposition technology employed for the interconnection fabrication, such as atomic layer deposition (ALD), PVD, collimated physical vapor deposition (CPVD), or ionized physical vapor deposition (IPVD).

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