Programming methodology for a general purpose automation controller

The General Purpose Automation Controller is a multi-processor architecture for automation programming. A methodology has been developed whose aim is to simplify the task of programming distributed real-time systems for users in research or manufacturing. Programs are built by configuring function blocks (low-level computations) into processes using data flow principles. These processes are activated through the verb mechanism. Verbs are divided into two classes: those which support devices, such as robot joint servos, and those which perform actions on devices, such as motion control. This programming methodology was developed in order to achieve the following goals: (1) specifications for real-time programs which are to a high degree independent of hardware considerations such as processor, bus, and interconnect technology; (2) a component approach to software, so that software required to support new devices and technologies can be integrated by reconfiguring existing building blocks; (3) resistance to error and ease of debugging; and (4) a powerful command language interface

Independent Regulation of Reovirus Membrane Penetration and Apoptosis by the μ1 ϕ Domain

Apoptosis plays an important role in the pathogenesis of reovirus encephalitis. Reovirus outer-capsid protein μ1, which functions to penetrate host cell membranes during viral entry, is the primary regulator of apoptosis following reovirus infection. Ectopic expression of full-length and truncated forms of μ1 indicates that the μ1 ϕ domain is sufficient to elicit a cell death response. To evaluate the contribution of the μ1 ϕ domain to the induction of apoptosis following reovirus infection, ϕ mutant viruses were generated by reverse genetics and analyzed for the capacity to penetrate cell membranes and elicit apoptosis. We found that mutations in ϕ diminish reovirus membrane penetration efficiency by preventing conformational changes that lead to generation of key reovirus entry intermediates. Independent of effects on membrane penetration, amino acid substitutions in ϕ affect the apoptotic potential of reovirus, suggesting that ϕ initiates apoptosis subsequent to cytosolic delivery. In comparison to wild-type virus, apoptosis-defective ϕ mutant viruses display diminished neurovirulence following intracranial inoculation of newborn mice. These results indicate that the ϕ domain of μ1 plays an important regulatory role in reovirus-induced apoptosis and disease

RXR-dependent and RXR-independent transactivation by retinoic acid receptors.

The binding affinity of retinoic acid receptors (RARs) to their response elements is strongly enhanced in vitro by the formation of heterodimers with retinoid X receptors (RXRs) suggesting that heterodimerization with RXR may be a prerequisite for a RAR-mediated transcriptional response. We found that in Drosophila SL-3 cells that are devoid of endogenous RARs and RXRs the presence of RAR is sufficient to confer a response to all-trans retinoic acid (RA). The transfection of both RAR and RXR and stimulation with their respective ligands all-trans and 9-cis RA leads to a synergistic response. On point mutations of the RAR beta 2 gene promoter RA response element (RARE) the stimulation by RARs showed distinct differences in the absence and presence of RXR. The same differences in transcriptional activity are observed, if mammalian cells containing endogenous RARs and RXRs are stimulated with all-trans RA only or additionally with 9-cis RA. This establishes an RXR-independent and an RXR-dependent pathway of all-trans RA action in Drosophila SL-3 cells as well as in mammalian cells. The presence or absence of 9-cis RA determines by which of the two pathways a response to all-trans RA is mediated

Cooperative multi-objective decision-support for the paper industry

In this paper, we discuss a new decision-support system for scheduling paper manufacturing and distribution. Scheduling production and distribution of paper is an extremely complex task requiring the consideration of numerous constraints and objectives. Problem complexity is compounded by process interactions wherein the scheduling of one stage of the production process may negatively impact downstream processes. In contrast to earlier approaches, our system considers multiple scheduling objectives and multiple stages of paper manufacturing and distribution simultaneously in a global multi-criteria optimization framework. It generates multiple scheduling alternatives by using several algorithms based on approaches such as linear/integer programming, network flow methods and heuristics. These alternatives reveal tradeoffs with respect to competing objectives, such as maximizing profitability, on-time delivery, product quality, and minimizing manufacturing disruptions. Each scheduling alternative is a complete enterprise schedule that includes sub-schedules for each stage of the manufacturing process and loading. The scheduler can work cooperatively with the system to explore alternatives and to improve solution quality. As the final decision maker, the scheduler can choose the best alternative for the enterprise. By functioning as an intelligent assistant, ou