954 resultados para LONG-RANGE INTERACTIONS


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Oriocrassatella Etheridge Jr., 1907 is a long range crassatellid bivalve genus well recognized in shallow waters of epeiric seas throughout the upper part of Paleozoic. The first occurrences of this genus are recorded in the sedimentary successions of the Gondwana, both in Australia and South America. However, the geographic and age distribution of Oriocrassatella in Late Mississippian deposits of Australia and Argentina may indicate an earliest Visean or even a pre-Visean origin for the genus. Following its origin in Early Carboniferous a complex paleobiogeographic history from Southern to Northern Hemisphere took place in the Permian. During its initial dispersal phase from Late Carboniferous to the Early Permian the genus thrived in cold water environments associated to the Late Paleozoic Gondwana glaciation. Shallow-water bottoms of the warm waters of the central Gondwana fringe and Laurussia were colonized by Oriocrassatella only during Early Permian times when the genus became cosmopolitan. A new species of this genus is described herein, Oriocrassatella piauiensis n. sp., recorded from the Piaui Formation, Pennsylvanian of the Parnaiba Basin. This new species may represent an early adaptation to warm waters. However, based on available data, species of this genus seem to have adapted definitely to warm water environments probably related the Late Pennsylvanian interglacial phases. In these phases, climatic barrier were interrupted allowing the faunal interchange and larval dispersion following a South to North migration route through the eastern margins of Gondwana and the eastern Paleotethys.

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The transient and equilibrium properties of dynamics unfolding in complex systems can depend critically on specific topological features of the underlying interconnections. In this work, we investigate such a relationship with respect to the integrate-and-fire dynamics emanating from a source node and an extended network model that allows control of the small-world feature as well as the length of the long-range connections. A systematic approach to investigate the local and global correlations between structural and dynamical features of the networks was adopted that involved extensive simulations (one and a half million cases) so as to obtain two-dimensional correlation maps. Smooth, but diverse surfaces of correlation values were obtained in all cases. Regarding the global cases, it has been verified that the onset avalanche time (but not its intensity) can be accurately predicted from the structural features within specific regions of the map (i.e. networks with specific structural properties). The analysis at local level revealed that the dynamical features before the avalanches can also be accurately predicted from structural features. This is not possible for the dynamical features after the avalanches take place. This is so because the overall topology of the network predominates over the local topology around the source at the stationary state.

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A correlated two-body basis function is used to describe the three-dimensional bosonic clusters interacting via two-body van der Waals potential. We calculate the ground state and the zero orbital angular momentum excited states for Rb-N clusters with up to N = 40. We solve the many-particle Schrodinger equation by potential harmonics expansion method, which keeps all possible two-body correlations in the calculation and determines the lowest effective many-body potential. We study energetics and structural properties for such diffuse clusters both at dimer and tuned scattering length. The motivation of the present study is to investigate the possibility of formation of N-body clusters interacting through the van der Waals interaction. We also compare the system with the well studied He, Ne, and Ar clusters. We also calculate correlation properties and observe the generalised Tjon line for large cluster. We test the validity of the shape-independent potential in the calculation of the ground state energy of such diffuse cluster. These are the first such calculations reported for Rb clusters. (C) 2012 American Institute of Physics. [http://dx.doi.org/10.1063/1.4730972]

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We analyze long-range time correlations and self-similar characteristics of the electrostatic turbulence at the plasma edge and scrape-off layer in the Tokamak Chauffage Alfven Bresillien (TCABR), with low and high Magnetohydrodynamics (MHD) activity. We find evidence of self-organized criticality (SOC), mainly in the region near the tokamak limiter. Comparative analyses of data before and during the MHD activity reveals that during the high mHD activity the Hurst parameter decreases. Finally, we present a cellular automaton whose parameters are adjusted to simulate the analyzed turbulence SOC change with the MHD activity variation. (C) 2011 Published by Elsevier B.V.

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The origin of the trigger-angle dependence of the ridge structure in two-hadron long-range correlations, as observed at RHIC, is discussed as due to an interplay between the elliptic flow caused by the initial state global geometry and flow produced by fluctuations.

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We present a detailed theoretical study of the stability of the gas-phase diatomic dications SnF2+, SnCl2+, and SnO2+ using ab initio computer calculations. The ground states of SnF2+, SnCl2+, and SnO2+ are thermodynamically stable, respectively, with dissociation energies of 0.45, 0.30, and 0.42 eV. Whereas SnF2+ dissociates into Sn2+ + F, the long range behaviour of the potential energy curves of SnCl2+ and SnO2+ is repulsive and wide barrier heights due to avoided crossing act as a kind of effective dissociation energy. Their equilibrium internuclear distances are 4.855, 5.201, and 4.852 a(0), respectively. The double ionisation energies (T-e) to form SnF2+, SnCl2+, and SnO2+ from their respective neutral parents are 25.87, 23.71, and 25.97 eV. We combine our theoretical work with the experimental results of a search for these doubly positively charged diatomic molecules in the gas phase. SnO2+ and SnF2+ have been observed for prolonged oxygen (O-16(-)) ion beam sputtering of a tin metal foil and of tin (II) fluoride (SnF2) powder, respectively, for ion flight times of about 10(-5) s through a magnetic-sector mass spectrometer. In addition, SnCl2+ has been detected for O-16(-) ion surface bombardment of stannous (tin (II)) chloride (SnCl2) powder. To our knowledge, SnF2+ is a novel gas-phase molecule, whereas SnCl2+ had been detected previously by electron-impact ionization mass spectrometry, and SnO2+ had been observed before by spark source mass spectrometry as well as by atom probe mass spectrometry. We are not aware of any previous theoretical studies of these molecular systems. (C) 2012 American Institute of Physics. [http://dx.doi.org/10.1063/1.4758475]

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CaSnO3 and SrSnO3 alkaline earth stannate thin films were prepared by chemical solution deposition using the polymeric precursor method on various single crystal substrates (R- and C-sapphire and 100-SrTiO3) at different temperatures. The films were characterized by X-ray diffraction (θ-2θ, ω- and φ-scans), field emission scanning electron microscopy, atomic force microscopy, micro-Raman spectroscopy and photoluminescence. Epitaxial SrSnO3 and CaSnO3 thin films were obtained on SrTiO3 with a high crystalline quality. The long-range symmetry promoted a short-range disorder which led to photoluminescence in the epitaxial films. In contrast, the films deposited on sapphire exhibited a random polycrystalline growth with no meaningful emission regardless of the substrate orientation. The network modifier (Ca or Sr) and the substrate (sapphire or SrTiO3) influenced the crystallization process and/or the microstructure. Higher is the tilts of the SnO6 octahedra, as in CaSnO3, higher is the crystallization temperature, which changed also the nucleation/grain growth process.

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Persistent organic pollutants (POPs) is a group of chemicals that are toxic, undergo long-range transport and accumulate in biota. Due to their persistency the distribution and recirculation in the environment often continues for a long period of time. Thereby they appear virtually everywhere within the biosphere, and poses a toxic stress to living organisms. In this thesis, attempts are made to contribute to the understanding of factors that influence the distribution of POPs with focus on processes in the marine environment. The bioavailability and the spatial distribution are central topics for the environmental risk management of POPs. In order to study these topics, various field studies were undertaken. To determine the bioavailable fraction of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs), polychlorinated naphthalenes (PCNs), and polychlorinated biphenyls (PCBs) the aqueous dissolved phase were sampled and analysed. In the same samples, we also measured how much of these POPs were associated with suspended particles. Different models, which predicted the phase distribution of these POPs, were then evaluated. It was found that important water characteristics, which influenced the solid-water phase distribution of POPs, were particulate organic matter (POM), particulate soot (PSC), and dissolved organic matter (DOM). The bioavailable dissolved POP-phase in the water was lower when these sorbing phases were present. Furthermore, sediments were sampled and the spatial distribution of the POPs was examined. The results showed that the concentration of PCDD/Fs, and PCNs were better described using PSC- than using POM-content of the sediment. In parallel with these field studies, we synthesized knowledge of the processes affecting the distribution of POPs in a multimedia mass balance model. This model predicted concentrations of PCDD/Fs throughout our study area, the Grenlandsfjords in Norway, within factors of ten. This makes the model capable to validate the effect of suitable remedial actions in order to decrease the exposure of these POPs to biota in the Grenlandsfjords which was the aim of the project. Also, to evaluate the influence of eutrophication on the marine occurrence PCB data from the US Musselwatch and Benthic Surveillance Programs are examined in this thesis. The dry weight based concentrations of PCB in bivalves were found to correlate positively to the organic matter content of nearby sediments, and organic matter based concentrations of PCB in sediments were negatively correlated to the organic matter content of the sediment.

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Meiofauna, and especially marine nematodes are common in sediments around the world. Despite very wide ranging distributions in many nematode species, little is presently known about their dispersal mechanisms shaping these patterns. Rafting, and perhaps ballast water transport has been suggested as viable means for nematode long-range transport. On a much smaller scale other processes have been suggested for their dispersal. They generally include some form of passive suspension into the water column and later on a passive, haphazard settling back towards the bottom. Small-scale phenomena in nematode dispersal were studied by conducting a series of studies at Askö field station, Trosa Archipelago, Baltic proper. Studied aspects were one case of macrofaunal influence on nematode dispersal rate, using an amphipod, Monoporeia affinis as disturbing agent, and three different studies on mechanisms related to settling. The experiments were conducted both in laboratory and field settings. The amphipod Monoporeia affinis did not exert any influence on the dispersal rate in the nematodes. The nematode dispersal was only an effect of time, in the aspect that the more time that past, the more nematodes dispersed from their place of origin. The settling experiments revealed that nematodes do have an active component in their settling behaviour, as they were able to exert influence on the spot where they were to settle. They were able to choose settling spot in response to the food quality of the sediment. It also became evident that contrary to common belief, nematodes are able to extend their presence in the water column far beyond the times that would be predicted considering settling velocities and hydrodynamic conditions alone.

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The objective of this thesis is to improve the understanding of what processes and mechanism affects the distribution of polychlorinated biphenyls (PCBs) and organic carbon in coastal sediments. Because of the strong association of hydrophobic organic contaminants (HOCs) such as PCBs with organic matter in the aquatic environment, these two entities are naturally linked. The coastal environment is the most complex and dynamic part of the ocean when it comes to both cycling of organic matter and HOCs. This environment is characterised by the largest fluxes and most diverse sources of both entities. A wide array of methods was used to study these processes throughout this thesis. In the field sites in the Stockholm archipelago of the Baltic proper, bottom sediments and settling particulate matter were retrieved using sediment coring devices and sediment traps from morphometrically and seismically well-characterized locations. In the laboratory, the samples have been analysed for PCBs, stable carbon isotope ratios, carbon-nitrogen atom ratios as well as standard sediment properties. From the fieldwork in the Stockholm Archipelago and the following laboratory work it was concluded that the inner Stockholm archipelago has a low (≈ 4%) trapping efficiency for freshwater-derived organic carbon. The corollary is a large potential for long-range waterborne transport of OC and OC-associated nutrients and hydrophobic organic pollutants from urban Stockholm to more pristine offshore Baltic Sea ecosystems. Theoretical work has been carried out using Geographical Information Systems (GIS) and statistical methods on a database of 4214 individual sediment samples, each with reported individual PCB congener concentrations. From this work it was concluded that the continental shelf sediments are key global inventories and ultimate sinks of PCBs. Depending on congener, 10-80% of the cumulative historical emissions to the environment are accounted for in continental shelf sediments. Further it was concluded that the many infamous and highly contaminated surface sediments of urban harbours and estuaries of contaminated rivers cannot be of importance as a secondary source to sustain the concentrations observed in remote sediments. Of the global shelf PCB inventory < 1% are in sediments near population centres while ≥ 90% is in remote areas (> 10 km from any dwellings). The remote sub-basin of the North Atlantic Ocean contains approximately half of the global shelf sediment inventory for most of the PCBs studied.

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[EN] This paper analyzes the detection and localization performance of the participating face and eye algorithms compared with the Viola Jones detector and four leading commercial face detectors. Performance is characterized under the different conditions and parameterized by per-image brightness and contrast. In localization accuracy for eyes, the groups/companies focusing on long-range face detection outperform leading commercial applications.

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This work provides a forward step in the study and comprehension of the relationships between stochastic processes and a certain class of integral-partial differential equation, which can be used in order to model anomalous diffusion and transport in statistical physics. In the first part, we brought the reader through the fundamental notions of probability and stochastic processes, stochastic integration and stochastic differential equations as well. In particular, within the study of H-sssi processes, we focused on fractional Brownian motion (fBm) and its discrete-time increment process, the fractional Gaussian noise (fGn), which provide examples of non-Markovian Gaussian processes. The fGn, together with stationary FARIMA processes, is widely used in the modeling and estimation of long-memory, or long-range dependence (LRD). Time series manifesting long-range dependence, are often observed in nature especially in physics, meteorology, climatology, but also in hydrology, geophysics, economy and many others. We deepely studied LRD, giving many real data examples, providing statistical analysis and introducing parametric methods of estimation. Then, we introduced the theory of fractional integrals and derivatives, which indeed turns out to be very appropriate for studying and modeling systems with long-memory properties. After having introduced the basics concepts, we provided many examples and applications. For instance, we investigated the relaxation equation with distributed order time-fractional derivatives, which describes models characterized by a strong memory component and can be used to model relaxation in complex systems, which deviates from the classical exponential Debye pattern. Then, we focused in the study of generalizations of the standard diffusion equation, by passing through the preliminary study of the fractional forward drift equation. Such generalizations have been obtained by using fractional integrals and derivatives of distributed orders. In order to find a connection between the anomalous diffusion described by these equations and the long-range dependence, we introduced and studied the generalized grey Brownian motion (ggBm), which is actually a parametric class of H-sssi processes, which have indeed marginal probability density function evolving in time according to a partial integro-differential equation of fractional type. The ggBm is of course Non-Markovian. All around the work, we have remarked many times that, starting from a master equation of a probability density function f(x,t), it is always possible to define an equivalence class of stochastic processes with the same marginal density function f(x,t). All these processes provide suitable stochastic models for the starting equation. Studying the ggBm, we just focused on a subclass made up of processes with stationary increments. The ggBm has been defined canonically in the so called grey noise space. However, we have been able to provide a characterization notwithstanding the underline probability space. We also pointed out that that the generalized grey Brownian motion is a direct generalization of a Gaussian process and in particular it generalizes Brownain motion and fractional Brownain motion as well. Finally, we introduced and analyzed a more general class of diffusion type equations related to certain non-Markovian stochastic processes. We started from the forward drift equation, which have been made non-local in time by the introduction of a suitable chosen memory kernel K(t). The resulting non-Markovian equation has been interpreted in a natural way as the evolution equation of the marginal density function of a random time process l(t). We then consider the subordinated process Y(t)=X(l(t)) where X(t) is a Markovian diffusion. The corresponding time-evolution of the marginal density function of Y(t) is governed by a non-Markovian Fokker-Planck equation which involves the same memory kernel K(t). We developed several applications and derived the exact solutions. Moreover, we considered different stochastic models for the given equations, providing path simulations.

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Colloidal nanoparticles are additives to improve or modify several properties of thermoplastic or elastic polymers. Usually colloid-polymer mixtures show phase separation due to the depletion effect. The strategy to overcome this depletion demixing was to prepare surface-modified colloidal particles, which can be blended with linear polymer chains homogeneous. A successful synthesis strategy for the preparation of hairy nanospheres was developed by grafting polystyrene macromonomer chains onto polyorganosiloxane microgels. The number of hairs per particle with a core radius of approximately 10nm exceeded 150 hairs in all cases. The molecular weight of the hairs variied between 4000-18000g/mol.The compatibility of these hairy spheres mixed with linear polymer chains was investigated by AFM, TEM and SAXS. Homogeneous mixtures were found if the molecular weight of the polymer hairs on the particle surface is at least as large as the molecular weight of the matrix chains. If the chains are much shorter than the hairs, the colloidal hair corona is strongly swollen by the matrix polymer, leading to a long-range soft interparticle repulsion ('wet brush'). If hairs and chains are comparable in length, the corona shows much less volume swelling, leading to a short-range repulsive potential similar to hard sphere systems ('dry brush'). Polymerketten und Kolloidpartikel entmischen aufgrund von Depletion-Wechselwirkungen. Diese entropisch bedingte Entmischung konnte durch das Ankoppeln von Polymerhaaren verschiedenen Molekulargewichts auf die Kugeloberflächen der Kolloide bis zu hohen Konzentrationen vermieden werden. Zur Darstellung sphärischer Bürsten und haariger Tracerpartikel wurde eine neue Synthesestrategie ausgearbeitet und erfolgreich umgesetzt.Das Kompatibilitätsverhalten dieser sphärischen Bürsten in der Schmelze von Polymerketten als Matrix wurde mittels Elektronenmikroskopie und Kleinwinkelröntgenstreuung untersucht. Die Mischungen setzten sich aus sphärischen Bürsten und Matrixketten mit unterschiedlichen Molekulargewichten zusammen.Es zeigte sich, daß die Mischbarkeit entschieden durch das Verhältnis von Haarlänge zu Länge der Matrixketten beeinflußt wird.Aus den Untersuchungen des Relaxationsverhaltens mittels Rheologie und SAXS ergibt sich, daß das Konzept der 'dry brush'- und 'wet brush'-Systeme auf diese Mischungen übertragbar ist. Die Volumenquellung der Haarcorona durch die Matrixketten ist, wie die Experimente gezeigt haben, bereits im Fall von Polymeren mit relativ niedrigen Molekulargewichten zu beobachten. Sie ist umso stärker ausgeprägt, je größer das Längenverhältnis zwischen Polymerhaaren und Matrixketten ist. Die Quellung bedeutet eine Vergrößerung des effektiven Radius der Partikel und entspricht somit einer Erhöhung des effektiven Volumenbruchs. Dies führt zur Ausbildung einer höheren Ordnung und zu einem Einfrieren der Relaxation dieser strukturellen Ordnung führt.

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ZusammenfassungDie ATP-Synthase koppelt im Energiestoffwechsel der Zellen den Protonentransport über die biologische Membran mit der Synthese des energiespeichernden Moleküls ATP aus ADP und Phosphat. ATP-Synthasen bestehen aus 2 Subkomplexen, wobei der katalytische F1-Teil von der membranständigen Domäne abgelöst werden kann und nur zur ATP-Hydrolyse fähig ist. Der hochkooperative Reaktionsmechanismus der dreizentrigen ATP-Synthasen ist weitgehend unklar.Im Rahmen dieser Arbeit wurde der ATP-Synthasekomplex und ihr wasserlösliches katalytisches F1-Fragment aus Micrococcus luteus in präparativem Maßstab mittels chromatographischer Trennmethoden isoliert. Die Überprüfung der Funktionalität beider Enzyme erfolgte mit enzymatischen Methoden. Durch zeitaufgelöste Röntgenkleinwinkelstreuung wurde die Strukturdynamik der arbeitenden ATP-Synthase und ihres F1-Fragmentes aus Micrococcus luteus im Laufe des ATP-Hydrolysezyklus untersucht. Diese Methode diente zum Nachweis weiträumiger Konformationsänderungen innerhalb der arbeitenden Enzyme unter nativen physiologischen Bedingungen. Die zeitaufgelösten Streuexperimente fanden an der ESRF (Europäische Synchrotronstrahlungsquelle) in Grenoble (F) statt. Dort wurden für beide Enzyme im Laufe des ATP-Hydrolysezykus molekulare Bewegungen nachgewiesen. Als Referenz zu den zeitaufgelösten Messungen dienten statische Messungen zur Strukturuntersuchung der Proteine am schwächeren DESY. Anhand dieser Strukturdaten wurden Molekülmodelle der F1-ATPase und ATP-Synthase aus Micrococcus luteus konstruiert. Das Molekülmodell der F1-ATPase war die Grundlage zur Modellierung einzelner Teilschritte des ATP-Hydrolysezyklus bei 20°C. Die experimentellen Daten wurden mit einer Kippbewegung der membranseitigen Domäne der katalytischen b-Untereinheiten der F1-ATPase während des ATP-Hydrolysezyklus interpretiert.

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Im Rahmen der Projekte CARIBIC ('Civil Aircraft for the Regular Investigation of the atmosphere Based on an Instrument Container') und INDOEX ('Indian Ocean Experi-ment') wurde ein Gaschromatograph mit Massenspektrometer zur Analyse von Luftproben auf Nicht-Methan-Kohlenwasserstoffe (NMKW) im ppb- und ppt-Bereich entwickelt. Während INDOEX erfolgte die Probennahme auf dem Forschungsschiff Ronald Brown, während CARIBIC mit einem automatischen Probensammler an Bord eines Passagierflugzeuges (Boeing 767-ER, LTU). Die NMKW-Meßergebnisse wurden zusammen mit Ergebnissen von Mes-sungen von Kohlenmonoxid (CO, einschließlich Isotopenzusam-mensetzung), Ozon (O3), Methan (CH4), Kohlendioxid (CO2), Distickstoffmonoxid (N2O), Schwefelhexafluorid (SF6) und Aerosoleigenschaften sowie meteorologischen Daten inter-pretiert. Während INDOEX (Februar / März 1999) wurde in der maritimen Grenzschicht (MBL) des Indischen Ozeans (IO) eine starke Variabilität diverser Spurengase beobachtet, die teilweise durch regionale Emissionen hervorgerufen wurde, die stärkste Variabilität war jedoch durch Langstrecken-transport aus mittleren Breiten der Nordhemisphäre bedingt. Aufgrund der Abweichungen vom klimatologischen Mittel, sollten regionale Quellen die MBL des IO im allgemeinen stärker beeinflussen. Die Einteilung des IO in meteorologi-sche Luftmassenregime wurde bestätigt. Starke Spurengasgra-dienten an der innertropischen Konvergenzzone (ITCZ) zeigen, daß die ITCZ in erster Linie den Austausch von Luftmassen zwischen den Hemisphären behindert. Bei CARIBIC werden Messungen von Spurengasen (ein-(schließlich NMKW) und Aerosoleigenschaften auf Flügen in der oberen Troposphäre / unteren Stratosphäre durchgeführt. Während eines Flug über Afrika wurden der Einfluß von durch Konvektion in die obere Troposphäre eingebrachten, frischen Abgasen aus Biomassenverbrennung nachgewiesen. Andere Luft-massen wurden durch Emissionen von Erdgas bzw. durch die Stratosphäre beeinflußt.