SensIDA and IDA are general-purpose codes for solving differential-algebraic equation (DAE) initial value problems. SensIDA is a variant of IDA that includes options for simultaneously computing the DAE solution together with its first-=order sensitivity coefficients with respect to model parameters. SensIDA is written in ANSI-standard C and it is mainly based on IDA, DASPK3.0, and SensPVODE. IDA is based on DASPK2.0. DASPK3.0 is a Fortran77 code for the sensitivity analysis of DAE initial value problems. SensPVODE is a sensitivity analysis variant of the parallel ordinary differential equation solver PVODE. SensIDA can be compiled to run on serial or parallel computers. This is accomplished by specifying that the serial or parallel version of the vector module NVECTOR is used when compiling SensIDA. The parallel version of SensIDA uses MPI (Message-Passing Interface) to achieve parallelism, and is intended for a distributed Single Program Multiple Data environment in which all vectors are identically partitioned across processors. The idea is for each processor to solve a certain fixed subset of the DAEs that describe the model problem and the first-order sensitivity coefficients of the solution.

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This home movie excerpt documents Lauren playing with her cousin in a pile of autumn leaves.

The purpose of this report is to identify the potential for on-site power generation in the U.S. industrial sector with emphasis on nine industrial groups called the ''Industries of the Future'' (IOFs) by the U.S. Department of Energy (DOE). Through its Office of Industrial Technologies (OIT), the DOE has teamed with the IOFs to develop collaborative strategies for improving productivity, global competitiveness, energy usage and environmental performance. Total purchases for electricity and steam for the IOFs are in excess of $27 billion annually. Energy-related costs are very significant for these industries. The nine industrial groups are (1) Agriculture (SIC 1); (2) Forest products; (3) Lumber and wood products (SIC 24); (4) Paper and allied products (SIC 26); (5) Mining (SIC 11, 12, 14); (6) Glass (SIC 32); (7) Petroleum (SIC 29); (8) Chemicals (SIC 28); and (9) Metals (SIC 33): Steel, Aluminum, and Metal casting. Although not currently part of the IOF program, the food industry is included in this report because of its close relationship to the agricultural industry and its success with on-site power generation. On-site generation provides an alternative means to reduce energy costs, comply with environmental regulations, and ensure a reliable power supply. On-site generation can …

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We have measured the Ag and Pd M{sub 5}VV Auger spectrum in coincidence with Ag and Pd 4d{sub 5/2} photoelectrons for the Ag/Cu(100) and Pd/Cu(100) systems, respectively, as a function of admetal coverage. These systems form surface alloys (i.e. random substitutional alloys in the first atomic layer) for impurity concentrations in the 0.1 monolayer range. For these systems, the centroid of the impurity 4d levels is expected to shift away from the Fermi level by {approx}1 eV [Ruban et al., Journal of Molecular Catalysis. A 115 (1997) 421], an effect that should be easily seen in coincidence core-valence-valence Auger spectra. We find that the impurity Auger spectra of both systems shift in a manner that is consistent with d-band moving away from EF. However, the shift for Pd is considerably smaller than expected, and a shift almost absent for Ag. The disagreement between theory and experiment is most likely caused by the neglect of lattice relaxations in the calculations.

The most frequent complaint of operators in modern computer-based control rooms is that there just are not enough video display units (VDUs). In this paper we examine the basis for this concern and try to understand the technical and historical reasons for this complaint, and its implications for the design of complex human-machine systems, including the number of VDUs in the control room. The overall aim of our work is to develop human factors guidance for the review of computer-based and modernized control rooms in nuclear power plants. As part of these efforts we have conducted literature reviews and studies using both simulators and actual systems in a broad range of industries, including process control, aerospace, medical, and others. Our findings reflect the general complaint of operators across all these industries: there just are not enough VDUs in the control room. We conclude that there are three primary reasons for this complaint. First, as part of a workload management strategy, operators frequently avoid interface management tasks and do not access all the information available, preferring instead to use a fixed set of familiar displays that provide much (but not all) of the information needed. Performance thereby becomes data limited and …

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