448 research outputs found
Graph Transformations and Game Theory: A Generative Mechanism for Network Formation
Many systems can be described in terms of networks with characteristic structural properties. To better understand the formation and the dynamics of complex networks one can develop generative models. We propose here a generative model (named dynamic spatial game) that combines graph transformations and game theory. The idea is that a complex network is obtained by a sequence of node-based transformations determined by the interactions of nodes present in the network. We model the node-based transformations by using graph grammars and the interactions between the nodes by using game theory. We illustrate dynamic spatial games on a couple of examples: the role of cooperation in tissue formation and tumor development and the emergence of patterns during the formation of ecological networks
Techno-economic analysis of LNG production alternatives
La tesi propone un'analisi termodinamica e una valutazione economica dei principali cicli per la liquefazione del gas naturale. L'analisi termodinamica ha come obiettivo identificare gli accorgimenti che in fase di design devono essere adottati per migliorare l'efficienza dell'impianto. La fase di ottimizzazione termodinamica permette di ottenere cicli ottimi e quantificarne la performance. Infine l'analisi economica cerca di determinare la miglior alternativa di ciclo a seconda della tagliaope
Techno-economic analysis of expander-based configurations for natural gas liquefaction
The use of liquefied natural gas (LNG) as a marine fuel is rapidly growing because of the possible economic
advantages over conventional fuels and stricter environmental regulations. Production of LNG is energy intensive
because of the required temperature level of around -160\ub0C. Three main types of refrigeration cycles
have been developed. The present work focuses on the comparison of six expander-based configurations,
which in spite of the higher power consumption, are more compact, flexible and easier to operate. They are
optimised from a thermodynamic perspective: the exergetic efficiency is found to range between 17 % and 33
% for a specific power consumption down to 1340 kJ/kg.
Multi-objective optimisations are performed to simultaneously minimise the net power consumption and the
heat transfer conductance as an indicator of the required heat transfer area. The latter ranges between 50
kW/K and 300 kW/K.
A trade-off between power consumption and heat transfer area is found, which justifies a further economic
analysis. A simplified economic analysis is set based on a discounted cash flow model. The unitary profit
ranges between 0.5 and 0.9 DKK/kg of produced LNG. The most profitable expander-based configuration is
the dual-refrigerant cycle with nitrogen in the bottoming refrigeration cycle. Finally, the influence of the cost
correlations on the economic outcome is assessed: the compressors represent the major costs, which leads
to the coincidence of the thermodynamic and economic optima
Book of abstracts: Scientific Opening of The Microsoft Reasearch Centre for Computational and Systems Biology, Trento, Italy, April 3-5, 2006
Abstracts of the talks of the Scientific Opening of the Microsoft Research - University of Trento Centre for Computational and Systems Biology held in Trento on April 3-5, 200
NS-NS Spacetimes from Amplitudes
Recent work has shown how on-shell three-point amplitudes in gauge theory and
gravity, representing the coupling to massive particles, correspond in the
classical limit to the curvature spinors of linearised solutions. This
connection, made explicit via the KMOC formalism in split metric signature,
turns the double copy of scattering amplitudes into the double copy of
classical solutions. Here, we extend this framework to the universal massless
sector of supergravity, which is the complete double copy of pure gauge theory.
Our extension relies on a Riemann-Cartan curvature incorporating the dilaton
and the B-field. In this setting, we can determine the most general double copy
arising from the product of distinct gauge theory solutions, say a dyon and
. This gives a double-copy interpretation to gravity
solutions of the type Kerr-Taub-NUT-dilaton-axion. We also discuss the
extension to heterotic gravity. Finally, we describe how this formalism for the
classical double copy relates to others in the literature, namely (i) why it is
an on-shell momentum space analogue of the convolutional prescription, and (ii)
why a straightforward prescription in position space is possible for certain
vacuum solutions.Comment: 41 pages + appendices, 2 pdf figure
Multiply lensed star forming clumps in the A521-sys1 galaxy at redshift 1
We study the population of star-forming clumps in A521-sys1, a z=1.04 system gravitationally lensed by the foreground (z=0.25) cluster Abell 0521. The galaxy presents one complete counter-image with a mean magnification of μ∼4 and a wide arc containing two partial images of A521-sys1 with magnifications reaching μ>20, allowing the investigations of clumps down to scales of Reff<50 pc. We identify 18 unique clumps with a total of 45 multiple images. Intrinsic sizes and UV magnitudes reveal clumps with elevated surface brightnesses comparable to similar systems at redshifts z≳1.0. Such clumps account for ∼40per cent of the galaxy UV luminosity implying a significant fraction of the recent star-formation activity is taking place there. Clump masses range from 106 to 109M⊙ and sizes from tens to hundreds of parsec resulting in mass surface densities from 10 to 103M⊙pc−2 with a median of ∼102M⊙pc−2. These properties suggest that we detect star formation taking place across a wide range of scale from cluster aggregates to giant star-forming complexes. We find ages of less than 100 Myr consistent with clumps being observed close to their natal region. The lack of galactocentric trends with mass, mass density, or age and the lack of old migrated clumps can be explained either by dissolution of clumps after few ∼100 Myr or by stellar evolution making them fall below the detectability limits of our dat
Information cascades and the collapse of cooperation
In various types of structured communities newcomers choose their interaction partners by selecting a role-model and copying their social networks. Participants in these networks may be cooperators who contribute to the prosperity of the community, or cheaters who do not and simply exploit the cooperators. For newcomers it is beneficial to interact with cooperators but detrimental to interact with cheaters. However, cheaters and cooperators usually cannot be identified unambiguously and newcomers’ decisions are often based on a combination of private and public information. We use evolutionary game theory and dynamical networks to demonstrate how the specificity and sensitivity of those decisions can dramatically affect the resilience of cooperation in the community. We show that promiscuous decisions (high sensitivity, low specificity) are advantageous for cooperation when the strength of competition is weak; however, if competition is strong then the best decisions for cooperation are risk-adverse (low sensitivity, high specificity). Opportune decisions based on private and public information can still support cooperation but suffer of the presence of information cascades that damage cooperation, especially in the case of strong competition. Our research sheds light on the way the interplay of specificity and sensitivity in individual decision-making affects the resilience of cooperation in dynamical structured communities
Reappraisal of the Genus Exsudoporus (Boletaceae) Worldwide Based on Multi-Gene Phylogeny, Morphology and Biogeography, and Insights on Amoenoboletus
The boletoid genera Butyriboletus and Exsudoporus have recently been suggested by some
researchers to constitute a single genus, and Exsudoporus was merged into Butyriboletus as a later
synonym. However, no convincing arguments have yet provided significant evidence for this
congeneric placement. In this study, we analyze material from Exsudoporus species and closely related
taxa to assess taxonomic and phylogenetic boundaries between these genera and to clarify species
delimitation within Exsudoporus. Outcomes from a multilocus phylogenetic analysis (ITS, nrLSU,
tef1-α and rpb2) clearly resolve Exsudoporus as a monophyletic, homogenous and independent genus
that is sister to Butyriboletus. An accurate morphological description, comprehensive sampling, type
studies, line drawings and a historical overview on the nomenclatural issues of the type species
E. permagnificus are provided. Furthermore, this species is documented for the first time from Israel
in association with Quercus calliprinos. The previously described North American species Exsudoporus
frostii and E. floridanus are molecularly confirmed as representatives of Exsudoporus, and E. floridanus
is epitypified. The eastern Asian species Leccinum rubrum is assigned here to Exsudoporus based on
molecular evidence, and a new combination is proposed. Sequence data from the original material of
the Japanese Boletus kermesinus were generated, and its conspecificity with L. rubrum is inferred as
formerly presumed based on morphology. Four additional cryptic species from North and Central
America previously misdetermined as either B. frostii or B. floridanus are phylogenetically placed but
remain undescribed due to the paucity of available material. Boletus weberi (syn. B. pseudofrostii) and
Xerocomus cf. mcrobbii cluster outside of Exsudoporus and are herein assigned to the recently described
genus Amoenoboletus. Biogeographic distribution patterns are elucidated, and a dichotomous key to
all known species of Exsudoporus worldwide is presented
Sequence determinants of breakpoint location during HIV-1 intersubtype recombination
Retroviral recombination results from strand switching, during reverse transcription, between the two copies of genomic RNA present in the virus. We analysed recombination in part of the envelope gene, between HIV-1 subtype A and D strains. After a single infection cycle, breakpoints clustered in regions corresponding to the constant portions of Env. With some exceptions, a similar distribution was observed after multiple infection cycles, and among recombinant sequences in the HIV Sequence Database. We compared the experimental data with computer simulations made using a program that only allows recombination to occur whenever an identical base is present in the aligned parental RNAs. Experimental recombination was more frequent than expected on the basis of simulated recombination when, in a region spanning 40 nt from the 5′ border of a breakpoint, no more than two discordant bases between the parental RNAs were present. When these requirements were not fulfilled, breakpoints were distributed randomly along the RNA, closer to the distribution predicted by computer simulation. A significant preference for recombination was also observed for regions containing homopolymeric stretches. These results define, for the first time, local sequence determinants for recombination between divergent HIV-1 isolates
Transgenic Mice for Intersectional Targeting of Neural Sensors and Effectors with High Specificity and Performance
SummaryAn increasingly powerful approach for studying brain circuits relies on targeting genetically encoded sensors and effectors to specific cell types. However, current approaches for this are still limited in functionality and specificity. Here we utilize several intersectional strategies to generate multiple transgenic mouse lines expressing high levels of novel genetic tools with high specificity. We developed driver and double reporter mouse lines and viral vectors using the Cre/Flp and Cre/Dre double recombinase systems and established a new, retargetable genomic locus, TIGRE, which allowed the generation of a large set of Cre/tTA-dependent reporter lines expressing fluorescent proteins, genetically encoded calcium, voltage, or glutamate indicators, and optogenetic effectors, all at substantially higher levels than before. High functionality was shown in example mouse lines for GCaMP6, YCX2.60, VSFP Butterfly 1.2, and Jaws. These novel transgenic lines greatly expand the ability to monitor and manipulate neuronal activities with increased specificity.Video Abstrac
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