A heterologous prime-boosting strategy with replicating Vaccinia virus vectors and plant-produced HIV-1 Gag/dgp41 virus-like particles.

Showing modest efficacy, the RV144 HIV-1 vaccine clinical trial utilized a non-replicating canarypox viral vector and a soluble gp120 protein boost. Here we built upon the RV144 strategy by developing a novel combination of a replicating, but highly-attenuated Vaccinia virus vector, NYVAC-KC, and plant-produced HIV-1 virus-like particles (VLPs). Both components contained the full-length Gag and a membrane anchored truncated gp41 presenting the membrane proximal external region with its conserved broadly neutralizing epitopes in the pre-fusion conformation. We tested different prime/boost combinations of these components in mice and showed that the group primed with NYVAC-KC and boosted with both the viral vectors and plant-produced VLPs have the most robust Gag-specific CD8 T cell responses, at 12.7% of CD8 T cells expressing IFN-γ in response to stimulation with five Gag epitopes. The same immunization group elicited the best systemic and mucosal antibody responses to Gag and dgp41 with a bias towards IgG1

A decision support system model for technology transfer

Technology transfer is the process by which technology originating at one institutional setting is adapted for use in another. A major impediment to the implementation of new technologies to assist with mangerial decision-making problems is a lack of communication between the technology and management communities. Development of a tool designed to bridge the technology transfer gap was the goal of this research. The result is a prototype software package which may be used on an interactive computer terminal by a manager for assistance in designing a decision support system (DSS). The four primary research tasks were: 1. Develop a conceptual model of the DSS design process. 2. Select and adapt, or create, appropriate software to mechanize the model. 3. Develop a knowledge base to describe the interactiveness of various organization variables and managerial decision-making needs. 4. Collect and analyze interview data and implement resultant production rules on the model. Tasks 1 and 2 were accomplished first to establish the feasibility of this effort. An interview instrument was developed for Task 3. And, corporate managers from several firms were interviewed to accomplish Task 4. Using this data, a prototype production rule model (called DECAIDS for DECISION AIDS) was constructed which supports managerial decision-making from the EMYCIN production rule system used at Stanford University. The purpose of this article is to introduce the need for a Decision Support System Model. A complete copy of this research can be obtained through University Microfilms International, 300 N. Zeeb Road, Ann Arbor, Michigan 48106, from the Naval Postgraduate School, Monterey, California 93940, or the Defense Technical Information Center, Cameron Station, Alexandria, Virginia 22314. The title is “An Interactive Decision Support System for Technology Transfer Pertaining to Organization and Management”, 1980. Copyright the Technology Transfer Society 1982