90 research outputs found
The Worldsheet Formulation as an Alternative Method for Simulating Dynamical Fermions
The recently proposed worldsheet formulation of lattice fermions is tested
for the first time carrying out a simulation for the simplest model: the
one-flavor, strictly massless lattice Schwinger model. A main advantage of this
alternative method for simulating dynamical fermions consists in its economy:
it involves many fewer degrees of freedom than the ordinary Kogut-Susskind
formulation. The known continuum limit is reproduced by the method for
relatively small lattices.Comment: 4 pages, 1 eps figure, revte
Viral quasispecies profiles as the result of the interplay of competition and cooperation
Viral quasispecies can be regarded as a swarm of genetically related mutants
or a quasispecies (QS). A common formalism to approach QS is the
replicator-mutator equation (RME). However, a problem with the RME is how to
quantify the interaction coefficients between viral variants. Here, this is
addressed by adopting an ecological perspective and resorting to the niche
theory of competing communities, which assumes that the utilization of
resources primarily determines ecological segregation between competing
individuals (the different viral variants that constitute the QS). Using this
novel combination of RME plus the ecological concept of niche overlapping, for
describing QS, we explore the population distributions of viral variants that
emerge, as well as the corresponding dynamics. We observe that the population
distribution requires very long transients both to A) reach equilibrium and B)
to show a clear dominating master sequence. Based on different independent and
recent experimental evidence, we find that when some cooperation or
facilitation between variants is included in appropriate doses we can solve
both A) and B). We show that a useful quantity to calibrate the degree of
cooperation is the Shannon entropy. Therefore, in order to get a typical
quasispecies profile, it seems that pure competition is not enough. Rather,
some degree of cooperation among viral variants is needed. This has several
biological implications that might contribute to shed light on the mechanisms
operating in QS dynamics and to understand the QS as a whole entity.Comment: 23 pages, 5 figure
Productivity vs. evenness in the U.S. Financial Market: a business ecosystem perspective
This paper starts by presenting an empirical finding in the U.S. stock market: Between 2001 and 2021, high productivity was achieved when the Shannon evennessâmeasuring the inverse of concentrationâdropped. Conversely, when the Shannon evenness soared, productivity plunged. The same inverse relationship between evenness and productivity has been observed in several ecosystems. This suggests explaining this result by adopting the business ecosystem perspective, i.e., regarding the tangle of interactions between companies as an ecological network, in which companies play the role of species. A useful strategy to model such ecological communities is through ensembles of synthetic communities of pairwise interacting species, whose dynamics is described by the LotkaâVolterra generalized equations. Each community is specified by a random interaction
matrix whose elements are drawn from a uniform distribution centered around 0. It is shown that the inverse relationship between productivity and evenness can be generated by varying the strength of the interaction between companies. When the strength increases, productivity increases and simultaneously the market evenness decreases. Conversely, when the strength decreases, productivity decreases and evenness increases. This strength can be interpreted as reflecting the looseness of monetary policy, thus providing a link between interest rates and market structure
A very simple model to account for the rapid rise of the alpha variant of SARS-CoV-2 in several countries and the world
Since its first detection in the UK in September 2020, a highly contagious version of the coronavirus, the alpha or British variant a.k.a. B.1.1.7 SARS-CoV-2 virus lineage, rapidly spread across several countries and became the dominant strain in the outbreak. Here it is shown that a very simple evolutionary model can fit the observed change in frequency of B.1.1.7 for several countries, regions of countries and the whole world with a single parameter, its relative fitness f, which is almost universal f â 1.5. This is consistent with a 50% higher
ransmissibility than the local wild type and with the fact that the period in which this variant takes over has been in all the studied cases around 22 weeks
A new early warning indicator of tree species crashes from effective intraspecific interactions in tropical forests
The vulnerability of species richness to several factors like, climate change, habitat fragmentation, resource exploitation, etc., poses a challenge to conservation biologists and agencies working to sustain the ecosystem services. Hence, there is a clear need for early warning indicators of species loss generated from empirical data.
The tree community of the long-term 50-hectare plot on Barro Colorado Island (BCI), Panama, is one of the most intensively studied in the world. This plot was established in 1981 and fully censused in 1982 then every 5 years from 1985 through 2015. This extensive dataset reveals that some tree species suffered steep population declines.
Here we propose an early warning indicator of such tree population crashes and test it against the BCI dataset. The spatial covariance matrices, Cij, of the 20 most abundant tree species in BCI allow us to compute, via MaxEnt, the effective interaction matrices, Jij, among these species for the eight censuses available from 1982 to 2015. For each species i and each census c, the absolute value of the intraspecific competition coefficients Jii(c) are much larger than those of the interspecific interaction coefficients Jij(c) with i â j. We show that this result can be derived from a similar empirical relationship observed for the matrices Cii(c). Our main finding is that for those tree species that suffered steep population declines (of at least 50%), across the eight tree censuses, the drop of Jii is always steeper and occurs before the drop of the corresponding species abundance Ni. Indeed, such sharp declines in Jii occur between 5 and 15 years in advance than comparable declines for Ni, and thus they serve as early warnings of impending population busts. Furthermore, this drop of Jii is linked to the anomalous variance, which is a known early warning of incoming catastrophic shifts
A new early warning indicator of tree species crashes from effective intraspecific interactions in tropical forests
The vulnerability of species richness to several factors like, climate change, habitat fragmentation, resource exploitation, etc., poses a challenge to conservation biologists and agencies working to sustain the ecosystem services. Hence, there is a clear need for early warning indicators of species loss generated from empirical data. The tree community of the long-term 50-hectare plot on Barro Colorado Island (BCI), Panama, is one of the most intensively studied in the world. This plot was established in 1981 and fully censused in 1982 then every 5 years from 1985 through 2015. This extensive dataset reveals that some tree species suffered steep population declines. Here we propose an early warning indicator of such tree population crashes and test it against the BCI dataset. The spatial covariance matrices, Cij, of the 20 most abundant tree species in BCI allow us to compute, via MaxEnt, the effective interaction matrices, Jij, among these species for the eight censuses available from 1982 to 2015. For each species i and each census c, the absolute value of the intraspecific competition coefficients Jii(c) are much larger than those of the interspecific interaction coefficients Jij(c) with i â j. We show that this result can be derived from a similar empirical relationship observed for the matrices Cii(c). Our main finding is that for those tree species that suffered steep population declines (of at least 50%), across the eight tree censuses, the drop of Jii is always steeper and occurs before the drop of the corresponding species abundance Ni. Indeed, such sharp declines in Jii occur between 5 and 15 years in advance than comparable declines for Ni, and thus they serve as early warnings of impending population busts. Furthermore, this drop of Jii is linked to the anomalous variance, which is a known early warning of incoming catastrophic shifts.Fil: Fort, Hugo. Universidad de la RepĂșblica; UruguayFil: Grigera, Tomas Sebastian. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas. Centro CientĂfico TecnolĂłgico Conicet - La Plata. Instituto de FĂsica de LĂquidos y Sistemas BiolĂłgicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de FĂsica de LĂquidos y Sistemas BiolĂłgicos; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de FĂsica; Argentin
- âŠ