15,400 research outputs found

    The economics of data acquisition computers for ST and MST radars

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    Some low cost options for data acquisition computers for ST (stratosphere, troposphere) and MST (mesosphere, stratosphere, troposphere) are presented. The particular equipment discussed reflects choices made by the University of Alaska group but of course many other options exist. The low cost microprocessor and array processor approach presented here has several advantages because of its modularity. An inexpensive system may be configured for a minimum performance ST radar, whereas a multiprocessor and/or a multiarray processor system may be used for a higher performance MST radar. This modularity is important for a network of radars because the initial cost is minimized while future upgrades will still be possible at minimal expense. This modularity also aids in lowering the cost of software development because system expansions should rquire little software changes. The functions of the radar computer will be to obtain Doppler spectra in near real time with some minor analysis such as vector wind determination

    The Sondrestrom radar: Progress and proposed upgrades for ST work

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    The capabilities and limitations of the Sondrestrom Radar for stratosphere-troposphere ST observations were previously presented. Recent progress and proposed upgrades are summarized. During the first year of operation (April 1983 to April 1984) there was only one ST experiment, mainly with the objective of evaluating the site and determining that the hardare and software were still operational after the radar's move from Alaska. The Sondrestrom site has about the same degree of ground clutter as the former Chatanika site and the data appear to be similar. The radar's operation continues to be incoherent-scatter observations of the ionosphere. The main radar parameters are summarized

    Motion measurement of acoustically levitated object

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    A system is described for determining motion of an object that is acoustically positioned in a standing wave field in a chamber. Sonic energy in the chamber is sensed, and variation in the amplitude of the sonic energy is detected, which is caused by linear motion, rotational motion, or drop shape oscillation of the object. Apparatus for detecting object motion can include a microphone coupled to the chamber and a low pass filter connected to the output of the microphone, which passes only frequencies below the frequency of sound produced by a transducer that maintains the acoustic standing wave field. Knowledge about object motion can be useful by itself, can be useful to determine surface tension, viscosity, and other information about the object, and can be useful to determine the pressure and other characteristics of the acoustic field

    Antenna induced range smearing in MST radars

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    There is considerable interest in developing stratosphere troposphere (ST) and mesosphere stratosphere troposphere (MST) radars for higher resolution to study small-scale turbulent structures and waves. At present most ST and MST radars have resolutions of 150 meters or larger, and are not able to distinguish the thin (40 - 100 m) turbulent layers that are known to occur in the troposphere and stratosphere, and possibly in the mesosphere. However the antenna beam width and sidelobe level become important considerations for radars with superior height resolution. The objective of this paper is to point out that for radars with range resolutions of about 150 meters or less, there may be significant range smearing of the signals from mesospheric altitudes due to the finite beam width of the radar antenna. At both stratospheric and mesospheric heights the antenna sidelobe level for lear equally spaced phased arrays may also produce range aliased signals. To illustrate this effect the range smearing functions for two vertically directed antennas have been calculated, (1) an array of 32 coaxial-collinear strings each with 48 elements that simulates the vertical beam of the Poker Flat, Glaska, MST radar; and (2) a similar, but smaller, array of 16 coaxial-collinear strings each with 24 elements

    Furthur development of the dynamic gas temperature measurement system

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    Candidate concepts capable of generating dynamic temperatures were identified and analyzed for use in verifying experimentally the frequency response of the dynamic gas temperature measurement system. A rotating wheel concept and one other concept will be selected for this purpose. Modifications to the data reduction code algorithms developed were identified and evaluated to reduce substantially the data reduction execution time. These modifications will be incorporated in a new data reduction program to be written in FORTRAN IV

    A brief history of long memory: Hurst, Mandelbrot and the road to ARFIMA

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    Long memory plays an important role in many fields by determining the behaviour and predictability of systems; for instance, climate, hydrology, finance, networks and DNA sequencing. In particular, it is important to test if a process is exhibiting long memory since that impacts the accuracy and confidence with which one may predict future events on the basis of a small amount of historical data. A major force in the development and study of long memory was the late Benoit B. Mandelbrot. Here we discuss the original motivation of the development of long memory and Mandelbrot's influence on this fascinating field. We will also elucidate the sometimes contrasting approaches to long memory in different scientific communitiesComment: 40 page

    Discovery of Resistance-Reversing Agents in Antibiotic Resistant Strains of Escherichia coli and Klebsiella pneumoniae from Natural Product Libraries

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    Objective: The objective of this exploratory research is to discover compounds, particularly from natural products, that inhibit ESBL, KPC, and NDM-1 mechanisms of antibiotic resistance in the Gram negative bacteria Escherichia coli and Klebsiella pneumoniae. Methods: This objective will be accomplished utilizing a high-volume bioassay testing natural product samples from the National Center for Natural Products Research. This assay tests samples against 6 different strains of bacteria known to express β-lactamases in the presence and absence of sub-inhibitory concentrations of the test antibiotic. By structuring the assay in this way, differentiation may be made between the inherent antibacterial activity of samples and the synergistic effects between the sample and the antibiotic. Optical density (OD) readings will be used to determine bacterial growth or the lack thereof. Samples showing pronounced activity only in the presence of the antibiotics will be considered active and will be tested in a checkerboard assay to confirm activity. Results: Of over 5,000 samples tested, 35 samples showed synergistic activity, giving a hit rate of 0.7%. Of these 35, the most promising three hits were tested in follow-up checkerboard assays. These three samples all demonstrated synergistic effects with fractional inhibitory concentrations (FIC) of <0.5. Of the samples tested in the checkerboard assays, one was a plant extract, one was a pure compound, and one was a fungal soil isolate obtained from the National Cancer Institute. Conclusions: This study showed the benefits of using a high-volume screen to test samples against resistant bacterial strains. Continued research in this field could prove to be beneficial to the discovery of new drugs for clinically relevant therapeutic applications

    Scaling collapse and structure functions: identifying self-affinity in finite length time series

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    Empirical determination of the scaling properties and exponents of time series presents a formidable challenge in testing, and developing, a theoretical understanding of turbulence and other out-of-equilibrium phenomena. We discuss the special case of self affine time series in the context of a stochastic process. We highlight two complementary approaches to the differenced variable of the data: i) attempting a scaling collapse of the Probability Density Functions which should then be well described by the solution of the corresponding Fokker-Planck equation and ii) using structure functions to determine the scaling properties of the higher order moments. We consider a method of conditioning that recovers the underlying self affine scaling in a finite length time series, and illustrate it using a Lévy flight
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