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We have used multi-epoch long-baseline radio interferometry to determine the proper motion and orbital elements of Algol and UX Arietis, two radio-bright, close binary stellar systems with distant tertiary components. For Algol, we refine the proper motion and outer orbit solutions, confirming the recent result of Zavala et al. (2010) that the inner orbit is retrograde. The radio centroid closely tracks the motion of the KIV secondary. In addition, the radio morphology varies from double-lobed at low flux level to crescent-shaped during active periods. These results are most easily interpreted as synchrotron emission from a large, co-rotating meridional loop centered on the K-star. If this is correct, it provides a radio-optical frame tie candidate with an uncertainty {\pm}0.5 mas. For UX Arietis, we find a outer orbit solution that accounts for previous VLBI observations of an acceleration term in the proper motion fit. The outer orbit solution is also consistent with previously published radial velocity curves and speckle observations of a third body. The derived tertiary mass, 0.75 solar masses, is consistent with the K1 main-sequence star detected spectroscopically. The inner orbit solution favors radio emission from the active K0IV primary only. The radio morphology, consisting of a single, partially resolved emission region, may be associated with the persistent polar spot observed using Doppler imaging.

The Process-Outcome Model (POM) is essentially a competency-based model of student personnel education. This document describes the method of implementing the POM in a seminar on the college student. In seeking to implement the model, the authors make the following assumptions: (1) didactic and experiential knowledge are necessary components for preparation; (2) learning experiences must approximate the "real world" experiences of the student development specialist; and (3) to be an effective student/human development specialist requires knowledge in the areas of human development, person and environment interaction, higher education, and developmental intervention strategies. POM, like most program models, has three basic components (input, process, output), and the authors detail each component part as it applies to the overall goal of the seminar. Sample materials used in the course are included. (Author/PC)

A processing algorithm to automatically detect a specific type of ion distribution (called the ion conic distribution) in data obtained from a space-based mass spectrometer has been devised. Automation of this task is necessary due to the sparseness of conic events within the very large databases typical of space plasma instruments. This paper reports on the algorithm used to perform this automated analysis, along with a description of the methods used to verify the algorithm and a summary of initial results on the characterization of the near-earth space plasma.

A Monte Carlo code is used to explore the full effects of the convection electric field on distributions of upflowing O(+) ions from the cusp/cleft ionosphere. Trajectories of individual ions/neutrals are computed as they undergo multiple charge-exchange collisions. In the ion state, the trajectories are computed in realistic models of the magnetic field and the convection, corotation, and ambipolar electric fields. The effects of ion-ion collisions are included, and the trajectories are computed with and without simultaneous stochastic heating perpendicular to the magnetic field by a realistic model of broadband, low frequency waves. In the neutral state, ballistic trajectories in the gravitational field are computed. The initial conditions of the ions, in addition to ambipolar electric field and the number densities and temperatures of O(+), H(+), and electrons as a function of height in the cusp/cleft region were obtained from the results of Gombosi and Killeen (1987), who used a hydrodynamic code to simulate the time-dependent frictional-heating effects in a magnetic tube during its motion though the convection throat. The distribution of the ion fluxes as a function of height are constructed from the case histories.

The implementation process and resource requirements of the University of Connecticut Budget Office's online decision support system are described. Successes and failures of shifting to a fully interactive budget review and development process are also reviewed. Special attention is given to the personnel problems and analytical challenges encountered in the evolution to computerization. Examples are cited of financial models and graphics used to facilitate meeting information requests, perform complex revenue and expenditure analyses, and prepare the budget request. The university's Budgetary Decision Support System (BUDDS) consists of the following key data files: summary expenditure information, personnel information, budgeted position control, budget requests and allotments, and budgetary expenditure accounts. The University of Connecticut's budget development system and the interactive budgetary development model are discussed, along with the marketing of the budget. Attention is also given to the report generator, FOCUS, which enables the budget office to tabulate budgetary information. It is noted that reports generated from three FOCUS files enable administrators to monitor budgetary commitments and assure that allocations are obeyed. FOCUS also contains a facility that simplifies the creation of complicaed financial models. (SW)

This invention relates to a motor control system for a brushless DC motor having an inverter responsively coupled to the motor control system and in power transmitting relationship to the motor. The motor control system includes a motor rotor speed detecting unit that provides a pulsed waveform signal proportional to rotor speed. This pulsed waveform signal is delivered to the inverter to thereby cause an inverter fundamental current waveform output to the motor to be switched at a rate proportional to said rotor speed. In addition, the fundamental current waveform is also pulse width modulated at a rate proportional to the rotor speed. A fundamental current waveform phase advance circuit is controllingly coupled to the inverter. The phase advance circuit is coupled to receive the pulsed waveform signal from the motor rotor speed detecting unit and phase advance the pulsed waveform signal as a predetermined function of motor speed to thereby cause the fundamental current waveform to be advanced and thereby compensate for fundamental current waveform lag due to motor winding reactance which allows the motor to operate at higher speeds than the motor is rated while providing optimal torque and therefore increased efficiency.