351 research outputs found

    From brain to earth and climate systems: Small-world interaction networks or not?

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    We consider recent reports on small-world topologies of interaction networks derived from the dynamics of spatially extended systems that are investigated in diverse scientific fields such as neurosciences, geophysics, or meteorology. With numerical simulations that mimic typical experimental situations we have identified an important constraint when characterizing such networks: indications of a small-world topology can be expected solely due to the spatial sampling of the system along with commonly used time series analysis based approaches to network characterization

    Hawkes process as a model of social interactions: a view on video dynamics

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    We study by computer simulation the "Hawkes process" that was proposed in a recent paper by Crane and Sornette (Proc. Nat. Acad. Sci. USA 105, 15649 (2008)) as a plausible model for the dynamics of YouTube video viewing numbers. We test the claims made there that robust identification is possible for classes of dynamic response following activity bursts. Our simulated timeseries for the Hawkes process indeed fall into the different categories predicted by Crane and Sornette. However the Hawkes process gives a much narrower spread of decay exponents than the YouTube data, suggesting limits to the universality of the Hawkes-based analysis.Comment: Added errors to parameter estimates and further description. IOP style, 13 pages, 5 figure

    On replacement strategies in steady state evolutionary algorithms

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    Steady State models of Evolutionary Algorithms are widely used, yet surprisingly little attention has been paid to the effects arising from different replacement strategies. This paper explores the use of mathematical models to characterise the selection pressures arising in a selection-only environment. The first part brings together models for the behaviour of seven different replacement mechanisms and provides expressions for various proposed indicators of Evolutionary Algorithm behaviour. Some of these have been derived elsewhere, and are included for completeness, but the majority are new to this paper. These theoretical indicators are used to compare the behaviour of the different strategies. The second part of this paper examines the practical relevance of these indicators as predictors for algorithms' relative performance in terms of optimisation time and reliability. It is not the intention of this paper to come up with a "one size fits all" recommendation for choice of replacement strategy. Although some strategies may have little to recommend them, the relative ranking of others is shown to depend on the intended use of the algorithm to be implemented, as reflected in the choice of performance metrics. © 2007 by the Massachusetts Institute of Technology

    Crumb structure and soil fertility

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    Technology Options for Mitigation of Foundry Emissions

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    Foundry emissions are well defined source of air pollutants, however, only scanty information is available on actual emission characteristics of foundry units. A study on emission characterization of foundry flue gases comprising particulates, CO and SO2 was undertaken in Agra and Ludhiana. The data on operating conditions and emission characteristics of identified Indian foundry units have been compared with that of working units in other countries. Prevailing control options, their performance and relative cost analysis have been delineated for their possible adoption with reference to variation of emission scenario of Indian foundry units. Preliminary computations on energy balance across the cupola system indicate that an appropriate fIue gas heat recoverysystem, if de vised, may reduce expenditure on fuel cost and would prove to be a cost effective solution

    Air Pollution Problems from Cupola Furnaces in Iron Foundries

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    Emissions from cupola furnaces for melting iron predominantly consist, heavy metal fumes, particulate matters, sulphur dioxide (SO2)and carbon monoxide (CO). Emission from a single cupola furnace may not be significant except when number of units are located in same air basin. Presently in India there exists only a very few air pollution control systems installed on cupola furnace. A comprehensive approach on the problem of emission is necessary before designing any control system. In-situ investigations were carried under different operational variations of cupola energised by conventional and chemical (NML) coke. Emission parameters studied include particulates, SOX and CO. Observations reflected that high dust emission continued till the process ended whereas high SOX emission occured only in the first hour of firing. High CO emission projected the possibility of energy recovery and its use employing after burners. Sulphur balancing for Indian cupola is also performed. Based on these field tests a few considerations for air pollution control devices to be adopted are discussed

    Ex vivo MRI facilitates localization of cerebral microbleeds of different ages during neuropathology assessment

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    Cerebral microbleeds (CMBs) identified by in vivo magnetic resonance imaging (MRI) of brains of older persons may have clinical relevance due to their association with cognitive impairment and other adverse neurologic outcomes, but are often not detected in routine neuropathology evaluations. In this study, the utility of ex vivo MRI in the neuropathological identification, localization, and frequency of CMBs was investigated. The study included 3 community dwelling elders with Alzheimer’s dementia, and mild to severe small vessel disease (SVD). Ex vivo MRI was performed on the fixed hemisphere to identify CMBs, blinded to the neuropathology diagnoses. The hemibrains were then sliced at 1 cm intervals and 2, 1 or 0 microhemorrhages (MH) were detected on the cut surfaces of brain slabs using the routine neuropathology protocol. Ex vivo imaging detected 15, 14 and 9 possible CMBs in cases 1, 2 and 3, respectively. To obtain histological confirmation of the CMBs detected by ex vivo MRI, the 1 cm brain slabs were dissected further and MHs or areas corresponding to the CMBs detected by ex vivo MRI were blocked and serially sectioned at 6 µm intervals. Macroscopic examination followed by microscopy post ex vivo MRI resulted in detection of 35 MHs and therefore, about 12 times as many MHs were detected compared to routine neuropathology assessment without ex vivo MRI. While microscopy identified previously unrecognized chronic MHs, it also showed that MHs were acute or subacute and therefore may represent perimortem events. Ex vivo MRI detected CMBs not otherwise identified on routine neuropathological examination of brains of older persons and histologic evaluation of the CMBs is necessary to determine the age and clinical relevance of each hemorrhage

    Cosmic ray produced Mg<SUP>28</SUP>, Si<SUP>31</SUP>, S<SUP>38</SUP>, C<SUP>l38</SUP>, Cl<SUP>34m</SUP> and other short-lived radioisotopes in wet precipitation

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    The concentrations of seven radioisotopes, expected to be produced in the troposphere by interactions of secondary cosmic rays with atmospheric nuclei, have been measured in "fresh" rain collections. The half-lives of these isotopes range from about half an hour to a day. The procedures developed for rapid, specific and sensitive analyses of these nuclides are discussed. Detection of two of the isotopes studied, Cl39 (half-life: 55 mins.) and Na24 (15 hrs.), has been reported earlier by Winsberg and Rodel respectively. Amongst the remaining nuclides, two: S38 (2.9 hrs.) and Cl38 (37.3 mins.) were independently and almost simultaneously detected by us and Perkins and his collaborators. Three other isotopes, Cl34m (32 mins.), Si31 (2.6 hrs.) and Mg28 (21.2 hrs.), detected in the present work have not yet been reported elsewhere. The nature of cosmic ray secondary particles responsible for the production of these short-lived radionuclides in the troposphere is discussed. Isotope production is found to vary strongly with altitude in the troposphere; it increases by a factor of two every 1.5-2 km depending on the radioisotope under question. This fact combined with the availability of several isotopes of half-lives ranging from about half an hour to a day leads to the possibility of using them as tracers for studying short-term tropospheric processes, e.g. those occurring prior to and during condensation in a precipitating cloud. The implications of the present measurements are discussed

    A massive multiphase plume of gas in Abell 2390's brightest cluster galaxy

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    We present new ALMA CO(2-1) observations tracing 2.2×10102.2 \times 10^{10} M_{\odot} of molecular gas in Abell 2390's brightest cluster galaxy, where half the gas is located in a one-sided plume extending 15 kpc out from the galaxy centre. This molecular gas has a smooth and positive velocity gradient, and is receding 250 km/s faster at its farthest point than at the galaxy centre. To constrain the plume's origin, we analyse our new observations alongside existing X-ray, optical and radio data. We consider the possibility that the plume is jet-driven with lifting aided by jet inflated X-ray bubbles. Alternatively, it may have formed following a gravitational disturbance. In this case, the plume may either be a trail of gas stripped from the main galaxy by ram pressure, or more recently cooled and infalling gas. The galaxy's star formation and gas cooling rate suggest the lifespan of its molecular gas may be low compared with the plume's age -- which would favour a recently cooled plume. Molecular gas in close proximity to the active galactic nucleus is also indicated by 250 km/s wide CO(2-1) absorption against the radio core, as well as previously detected CO(1-0) and HI absorption. This absorption is optically thick and has a line of sight velocity towards the galaxy centre of 200 km/s. We discuss simple models to explain its origin.Comment: Submitted to MNRA

    Method for Label-Free Quantitative Proteomics for Sorghum bicolor L. Moench

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    Sorghum (Sorghum bicolor L. Moench) is a rapidly emerging high biomass feedstock for bioethanol and lignocellulosic biomass production. The robust varietal germplasm of sorghum and its completed genome sequence provide the necessary genetic and molecular tools to study and engineer the biotic/abiotic stress tolerance. Traditional proteomics approaches for outlining the sorghum proteome have many limitations like, demand for high protein amounts, reproducibility and identification of only few differential proteins. In this study, we report a gel-free, quantitative proteomic method for in-depth coverage of the sorghum proteome. This novel method combining phenol extraction and methanol chloroform precipitation gives high total protein yields for both mature sorghum root and leaf tissues. We demonstrate successful application of this method in comparing proteomes of contrasting cultivars of sorghum, at two different phenological stages. Protein identification and relative quantification analyses were performed by a label-free liquid chromatography tandem mass spectrometry (LC/MS-MS) analyses. Several unique proteins were identified respectively from sorghum tissues, specifically 271 from leaf and 774 from root tissues, with 193 proteins common in both tissues. Using gene ontology analysis, the differential proteins identified were finely corroborated with their leaf/root tissue specific functions. This method of protein extraction and analysis would contribute substantially to generate in-depth differential protein data in sorghum as well as related species. It would also increase the repertoire of methods uniquely suited for gel-free plant proteomics that are increasingly being developed for studying abiotic and biotic stress responses
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