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A second generation, purified, inactivated vaccine (PIV) against Japanese encephalitis (JE) virus was produced and tested in mice where it was found to be highly immunogenic and protective. The JE-PIV was made from an attenuated strain of JE virus propagated in certified Vero cells, purified, and inactivated with formalin. Its manufacture followed current GMP guidelines for the production of biologicals. The manufacturing process was efficient in generating a high yield of virus, essentially free of contaminating host cell proteins and nucleic acids. The PIV was formulated with aluminum hydroxide and administered to mice by subcutaneous inoculation. Vaccinated animals developed high-titered JE virus neutralizing antibodies in a dose dependent fashion after two injections. The vaccine protected mice against morbidity and mortality after challenge with live, virulent, JE virus. Compared with the existing licensed mouse brain-derived vaccine, JE-Vax, the Vero cell-derived JE-PIV was more immunogenic and as effective as preventing encephalitis in mice. The JE-PIV is currently being tested for safety and immunogenicity in volunteers.

We present two schemes for planning the time-optimal trajectory for cooperative multi-manipulator system (CMMS) carrying a common object. We assume that the desired path is given and parameterizable by an arclength variable. Both approaches take into account the dynamics of the manipulators and object. The first approach employs linear programming techniques, and it allows us to obtain the time-optimal execution of the given task utilizing the maximum torque capacities of the joint motors. The second approach is a sub-time-optimal method that is computationally very efficient. In the second approach the given load is divided into a share for each robot in the CMMS in a manner in which the trajectory acceleration/deceleration is maximized, hence the trajectory execution time is minimized. This load distribution approach uses optimization schemes that degenerate to a linear search algorithm for the case of two robots manipulating a common load, and this results in significant reduction of computation time. The load distribution scheme not only enables us to reduce the computation time, but also gives us the possibility of applying this method in real-time planning and control of CMMS. Further, we show that for certain object trajectories the load distribution scheme yields truly time-optimal trajectories.

The tactics used by a director of pharmacy to get a new program approved are discussed. These include the use of justifications, both oral and written, the development of interpersonal relationship, the formation of coalitions with other department heads, timing, and various types of analysis. Some of the dangers of a written justification are emphasized. Among the precautions to be borne in mind are underestimating the abilities of the administrator, being too optimistic in one's predictions, being too conservative when planning the program, and not having a series of proposals for pharmacy expansion available at all times.

A joint-factor analysis was conducted using three major scales of the McCarthy Scales of Children's Abilities and eight Kaufman-ABC sub-tests as variables. Subjects were 90 children ages 4 to 8 1/2 yr. The screen test produced three significant factors, each interpretable from the Kaufman-ABC model. McCarthy Verbal scale was closely associated with the Achievement/Verbal factor; McCarthy Perceptual performance scale loaded highly on the Simultaneous Processing dimension; and McCarthy Quantitative was associated with all three factors. These results provide useful guidelines for interpreting a child's performance on each Index of the McCarthy scales in terms of the mental processing approach used to solve the task. However, the psychometric results must be coordinated with the examiner's clinical observations of the child's problem-solving strategies during administration of the McCarthy scales to understand more completely the processing demands of the Verbal, Perceptual performance, and Quantitative Scales.