80 research outputs found

    Mass evacuation - human behavior and crowd dynamics - What do we know?

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    The field of mass evacuation has existed for a long time. Already during the Roman Empire era evacuation problematic was considered. In modern times the field has gained more attention during the last couple of decades, especially for sports grounds and stadiums. Through analysis of some well-known historical crowd disasters and through a literature survey the aim has been to compile the most important findings. The aim has also been to analyze problem areas, knowledge and development opportunities. Regarding the problems of mass evacuation, preventive measures like design and contingency plan is of high importance. In addition there is a need for good communication and to take proper actions when an accident occurs. Some phenomenon that may arise during crowded situations have been found. These phenomenon are an indication that a catastrophic situation might emerge. With knowledge and understanding of those the expectation is, with the help of live video recordings and simulation softwares, to get a warning about the elevated risk for the crowd

    Scoring functions for transcription factor binding site prediction

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    BACKGROUND: Transcription factor binding site (TFBS) prediction is a difficult problem, which requires a good scoring function to discriminate between real binding sites and background noise. Many scoring functions have been proposed in the literature, but it is difficult to assess their relative performance, because they are implemented in different software tools using different search methods and different TFBS representations. RESULTS: Here we compare how several scoring functions perform on both real and semi-simulated data sets in a common test environment. We have also developed two new scoring functions and included them in the comparison. The data sets are from the yeast (S. cerevisiae) genome. Our new scoring function LLBG (least likely under the background model) performs best in this study. It achieves the best average rank for the correct motifs. Scoring functions based on positional bias performed quite poorly in this study. CONCLUSION: LLBG may provide an interesting alternative to current scoring functions for TFBS prediction

    the Clean Development Mechanism (CDM) as a new form of governance in climate protection

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    Die BewĂ€ltigung des Klimawandels ist heute eine der bedeutendsten politischen Herausforderungen. Das Kyoto-Protokoll ist der am weitesten fortgeschrittene Prozess der internationalen Staatengemeinschaft im Hinblick auf die Herausforderungen des Klimawandels. Einer der interessantesten und innovativsten Bausteine des Kyoto-Protokolls ist der Clean Development Mechanismus (CDM). Seit seiner Initiierung ist dieser so genannte flexible Mechanismus der SchlĂŒssel zur Schaffung von volatilen und boomenden MĂ€rkten fĂŒr Zertifikate fĂŒr die Reduktion von Kohlenstoffemissionen (CERs). Diese Zertifikate, kurz CERs, sind die ersten international gehandelten GĂŒter, die durch ein internationales Umweltabkommen geschaffen wurden. WĂ€hrend des Prozesses der Marktetablierung sind private Akteure wie Firmen, Projektverifizierer, Carbon Funds und ZertifikatshĂ€ndler zu den fĂŒhrenden Akteuren des globalen Kohlenstoffmarktes aufgestiegen. Dennoch ist der Markt weiterhin stark von den politischen Rahmenbedingungen abhĂ€ngig. Die Nachfrage wird durch die Festlegung von Emissionsreduktionen fĂŒr Nationalstaaten und deren Emissionsallokationen geschaffen. Der vorliegende Artikel untersucht die Transformation des Markts, der zunĂ€chst von öffentlichen Akteuren initiiert, durch Public Private Partnerships (PPPs) angestoßen, sich zu einem Markt entwickelt, wo sich die Regierungen nach und nach zurĂŒckziehen und private Akteure immer stĂ€rker Governancefunktionen wahrnehmen. Weiterhin wird der Status quo des CDM evaluiert und auf verbleibende Forschungsfragen hingewiesen

    Dissection of the Bradyrhizobium japonicum NifA+σ54 regulon, and identification of a ferredoxin gene ( fdxN ) for symbiotic nitrogen fixation

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    Hierarchically organized regulatory proteins form a complex network for expression control of symbiotic and accessory genes in the nitrogen-fixing soybean symbiont Bradyrhizobium japonicum. A genome-wide survey of regulatory interactions was made possible with the design of a custom-made gene chip. Here, we report the first use of the microarray in a comprehensive and complete characterization of the B. japonicum NifA+σ54 regulon which forms an important node in the entire network. Comparative transcript profiles of anaerobically grown wild-type, nifA, and rpoN 1/2 mutant cells were complemented with a position-specific frequency matrix-based search for NifA- and σ54-binding sites plus a simple operon definition. One of the newly identified NifA+σ54-dependent genes, fdxN, encodes a ferredoxin required for efficient symbiotic nitrogen fixation, which makes it a candidate for being a direct electron donor to nitrogenase. The fdxN gene has an unconventional, albeit functional σ54 promoter with the dinucleotide GA instead of the consensus GC motif at position −12. A GC-containing mutant promoter and the atypical GA-containing promoter of the wild type were disparately activated. Expression analyses were also carried out with two other NifA+σ54 targets (ectC; ahpC). Incidentally, the tiling-like design of the microarray has helped to arrive at completely revised annotations of the ectC- and ahpC-upstream DNA regions, which are now compatible with promoter locations. Taken together, the approaches used here led to a substantial expansion of the NifA+σ54 regulon size, culminating in a total of 65 genes for nitrogen fixation and diverse other processe

    Influence of volcanic eruptions on midlatitude upper tropospheric aerosol and consequences for cirrus clouds – Volc Affects S Aerosol in UT and Cirrus

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    The influence of downwelling stratospheric sulfurous aerosol on the UT (upper troposphere) aerosol concentrations and on cirrus clouds is investigated using CARIBIC (Civil Aircraft for Regular Investigation of the Atmosphere Based on an Instrument Container observations) (between 1999–2002 and 2005–2013) and the cirrus reflectance product from Moderate Resolution Imaging Spectroradiometer (MODIS). The initial period, 1999–2002, was volcanically quiescent after which the sulfurous aerosol in the LMS (lowermost stratosphere) (SLMS_{LMS}) became enhanced by several volcanic eruptions starting 2005. From 2005 to 2008 and in 2013, volcanic aerosol from several tropical eruptions increased SLMS_{LMS}. Due to consequent subsidence, the sulfur loading of the upper troposphere (SUT_{UT}) was increased by a factor of 2.5 compared to background levels. Comparison of SLMS and SUT_{UT} during the seasons March–July and August–November shows a close coupling of the UT and LMS. Finally, the relationship between SLMS_{LMS} and the cirrus cloud reflectance (CR) retrieved from MODIS spectrometer (on board the satellites Terra and Aqua) is studied. SLMS_{LMS} and CR show a strong anticorrelation, with a factor of 3.5 increase in SLMS and decrease of CR by 8 ± 2% over the period 2001–2011. We propose that the increase of SLMS_{LMS} due to volcanism has caused the coinciding cirrus CR decrease, which would be associated with a negative radiative forcing in the Northern Hemisphere midlatitudes

    Kevin M. McGeough, Exchange Relationships at Ugarit (Ancient Near Eastern Studies Supplement Series, 26).

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    This book is the product of the revision of the Doctoral Dissertation defended by the author in 2005 at the University of Pennsylvania. The introductory chapter presents the main objectives of the project: “this examination shall focus on ... exchange relationships ... More generally, this study seeks to examine economic modalities at Ugarit ... Economic modalities ... are understood here as the emergent structures of the social economy at Ugarit” (p. 1-2). The author next underlines what he ..

    Neurofilament light as an outcome predictor after cardiac arrest : a post hoc analysis of the COMACARE trial

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    Purpose Neurofilament light (NfL) is a biomarker reflecting neurodegeneration and acute neuronal injury, and an increase is found following hypoxic brain damage. We assessed the ability of plasma NfL to predict outcome in comatose patients after out-of-hospital cardiac arrest (OHCA). We also compared plasma NfL concentrations between patients treated with two different targets of arterial carbon dioxide tension (PaCO2), arterial oxygen tension (PaO2), and mean arterial pressure (MAP). Methods We measured NfL concentrations in plasma obtained at intensive care unit admission and at 24, 48, and 72 h after OHCA. We assessed neurological outcome at 6 months and defined a good outcome as Cerebral Performance Category (CPC) 1-2 and poor outcome as CPC 3-5. Results Six-month outcome was good in 73/112 (65%) patients. Forty-eight hours after OHCA, the median NfL concentration was 19 (interquartile range [IQR] 11-31) pg/ml in patients with good outcome and 2343 (587-5829) pg/ml in those with poor outcome,p <0.001. NfL predicted poor outcome with an area under the receiver operating characteristic curve (AUROC) of 0.98 (95% confidence interval [CI] 0.97-1.00) at 24 h, 0.98 (0.97-1.00) at 48 h, and 0.98 (0.95-1.00) at 72 h. NfL concentrations were lower in the higher MAP (80-100 mmHg) group than in the lower MAP (65-75 mmHg) group at 48 h (median, 23 vs. 43 pg/ml,p = 0.04). PaCO(2)and PaO(2)targets did not associate with NfL levels. Conclusions NfL demonstrated excellent prognostic accuracy after OHCA. Higher MAP was associated with lower NfL concentrations.Peer reviewe
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