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Time Line (time + line)
Selected AbstractsInvisible Time Lines in the Fabric of Events: Temporal Coherence in Yucatec NarrativesJOURNAL OF LINGUISTIC ANTHROPOLOGY, Issue 2 2003Jürgen Bohnemeyer This article examines how narratives are structured in a language in which event order is largely not coded. Yucatec Maya lacks both tense inflections and temporal connectives corresponding to English after and before. It is shown that the coding of events in Yucatec narratives is subject to a strict iconicity constraint within paragraph boundaries. Aspectual viewpoint shifting is used to reconcile iconicity preservation with the requirements of a more flexible narrative structure. [source] Surge Capacity for Health Care Systems: Early Detection, Methodologies, and ProcessACADEMIC EMERGENCY MEDICINE, Issue 11 2006Peter L. Estacio PhD Excessive demand on hospital services from large-scale emergencies is something that every emergency department health care provider and hospital administrator knows could happen at any time. Nowhere in this country have we recently faced a disaster of the magnitude of concern we now face involving agents of mass destruction or social disruption, especially those in the area of infectious diseases and radiological materials. The war on terrorism is not a conventional war, and terrorists may use any means of convenience to carry out their objectives in an unpredictable time line. Have we adequately prepared for the potentially excessive surge in demand for medical services that a large-scale event could bring to our medical care system? Are our emergency departments ready for such events? Surveillance systems, such as BioWatch, BioSense, the National Biosurveillance Integration System, and the countermeasure program BioShield, offer hope that we will be able to meet these new challenges. [source] From London to Liverpool: Evidence for a Limehouse,Reid porcelain connection based on the analysis of sherds from the Brownlow Hill (ca. 1755,1767) factory siteGEOARCHAEOLOGY: AN INTERNATIONAL JOURNAL, Issue 8 2003J. Victor Owen The diversity of Brownlow Hill porcelains of the Wm Reid & Co. era is due to the remarkably wide range in the composition of their pastes and glazes and inferred firing conditions relative to the initial vitrification temperature. Sixteen of 21 analyzed sherds from the factory site are bone-ash wares that display large variations in their bulk chemical composition. The remaining samples have silicious-aluminous (akin to "stone china" sensu Richard Pococke in 1750) and silicious-aluminous-calcic ("S-A-C") compositions that resemble Limehouse (London) and Pomona (Staffordshire) porcelains produced during the 1740s. The mineralogy of the Brownlow Hill S-A-C sherds suggests firing at a relatively high temperature (Tmax approaching 1400°C, based on relations on the SiO2 -Al2O3 -CaO phase diagram), thereby obscuring the identity of some of the ingredients (e.g., the source of CaO) used in their manufacture. Limehouse and Brownlow Hill may have been linked through the activities of William Ball, who is mentioned in connection with both factories, or indirectly via former Limehouse staff later employed at the Pomona factory, located not far from a Wm Reid & Co. branch factory in Shelton, Stoke-on-Trent. In terms of a time line, knowledge of these pastes appears to have spread first from London to Staffordshire, and then to Liverpool. © 2003 Wiley Periodicals, Inc. [source] Hyperreal transients in transfinite RLC networksINTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, Issue 6 2001A. H. Zemanian Abstract Up to the present time, there have been no transient analyses of RLC transfinite networks. Standard analyses of transfinite networks have been restricted to purely resistive ones. In this paper, it is shown how non-standard analysis can be used to examine the transient behaviour of transfinite networks having lumped resistors, inductors, and capacitors. To do so, the time line is expanded into the hyperreal time line, and the transients obtained take on hyperreal values. It is also shown how the diffusion of signals on artificial RC cables and the propagation of waves on artificial RLC transmission lines can ,pass through infinity' and penetrate transfinite extensions of those cables and lines. Less precisely but more suggestively, we can say that diffusions and waves can reach,with appreciable values,nodes that are transfinitely far away from their starting points, but that it will take infinitely long times in order to get there. Copyright © 2001 John Wiley & Sons, Ltd. [source] Modelling of non linear elements using an extended iterative methodMICROWAVE AND OPTICAL TECHNOLOGY LETTERS, Issue 1 2007Mohamed Glaoui Abstract This paper presents an iterative method based on the wave concept for investigation of structures including Non-linear components. The principle of the iterative method consists to establishing a relationship between incident and reflected waves in order to characterize the studied structure. A passage from frequency domain to time domain is used to describe the behavior of a non-linear transmission line (NLTL) including eight Varactor diodes. It is demonstrated that the NLTL plays the role of a delay time line (DTL). The reflected and transmission coefficients are determined. The numerical results are compared with published data. © 2006 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 143,147, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22079 [source] A simulation-optimization framework for research and development pipeline managementAICHE JOURNAL, Issue 10 2001Dharmashankar Subramanian The Research and Development Pipeline management problem has far-reaching economic implications for new-product-development-driven industries, such as pharmaceutical, biotechnology and agrochemical industries. Effective decision-making is required with respect to portfolio selection and project task scheduling in the face of significant uncertainty and an ever-constrained resource pool. The here-and-now stochastic optimization problem inherent to the management of an R&D Pipeline is described in its most general form, as well as a computing architecture, Sim-Opt, that combines mathematical programming and discrete event system simulation to assess the uncertainty and control the risk present in the pipeline. The R&D Pipeline management problem is viewed in Sim-Opt as the control problem of a performance-oriented, resource-constrained, stochastic, discrete-event, dynamic system. The concept of time lines is used to study multiple unique realizations of the controlled evolution of the discrete-event pipeline system. Four approaches using various degrees of rigor were investigated for the optimization module in Sim-Opt, and their relative performance is explored through an industrially motivated case study. Methods are presented to efficiently integrate information across the time lines from this framework. This integration of information demonstrated in a case study was used to infer a creative operational policy for the corresponding here-and-now stochastic optimization problem. [source] |