12,630 research outputs found
Regular (2+1)-dimensional black holes within non-linear Electrodynamics
(2+1)-regular static black hole solutions with a nonlinear electric field are
derived. The source to the Einstein equations is an energy momentum tensor of
nonlinear electrodynamics, which satisfies the weak energy conditions and in
the weak field limit becomes the (2+1)-Maxwell field tensor. The derived class
of solutions is regular; the metric, curvature invariants and electric field
are regular everywhere. The metric becomes, for a vanishing parameter, the
(2+1)-static charged BTZ solution. A general procedure to derive solutions for
the static BTZ (2+1)-spacetime, for any nonlinear Lagrangian depending on the
electric field is formulated; for relevant electric fields one requires the
fulfillment of the weak energy conditions.Comment: 5 pages, Latex, 2 figure
Non-Singular Charged Black Hole Solution for Non-Linear Source
A non-singular exact black hole solution in General Relativity is presented.
The source is a non-linear electromagnetic field, which reduces to the Maxwell
theory for weak field. The solution corresponds to a charged black hole with
|q| \leq 2s_c m \approx 0.6 m, having metric, curvature invariants, and
electric field bounded everywhere.Comment: 3 pages, RevTe
Urgency-aware optimal routing in repeated games through artificial currencies
When people choose routes minimizing their individual delay, the aggregate congestion can be much higher compared to that experienced by a centrally-imposed routing. Yet centralized routing is incompatible with the presence of self-interested users. How can we reconcile the two? In this paper we address this question within a repeated game framework and propose a fair incentive mechanism based on artificial currencies that routes selfish users in a system-optimal fashion, while accounting for their temporal preferences. We instantiate the framework in a parallel-network whereby users commute repeatedly (e.g., daily) from a common start node to the end node. Thereafter, we focus on the specific two-arcs case whereby, based on an artificial currency, the users are charged when traveling on the first, fast arc, whilst they are rewarded when traveling on the second, slower arc. We assume the users to be rational and model their choices through a game where each user aims at minimizing a combination of today's discomfort, weighted by their urgency, and the average discomfort encountered for the rest of the period (e.g., a week). We show that, if prices of artificial currencies are judiciously chosen, the routing pattern converges to a system-optimal solution, while accommodating the users’ urgency. We complement our study through numerical simulations. Our results show that it is possible to achieve a system-optimal solution whilst significantly reducing the users’ perceived discomfort when compared to a centralized optimal but urgency-unaware policy
Regular Black Hole in General Relativity Coupled to Nonlinear Electrodynamics
The first regular exact black hole solution in General Relativity is
presented. The source is a nonlinear electrodynamic field satisfying the weak
energy condition, which in the limit of weak field becomes the Maxwell field.
The solution corresponds to a charged black hole with |q| \leq 2 s_c m \approx
0.6 m, having the metric, the curvature invariants, and the electric field
regular everywhere.Comment: 5 pages, RevTex, 6 figure
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Inhibition of human telomerase by a G-quadruplex-interaction compound
Certain non-nucleoside compounds that will selectively inhibit telomerase by targeting the nucleic add structures, such as G-quadruplexes, that may be associated with human telomeres or telomerase have been identified. Inhibition of human telomerase by two perylenetetracarboxylic acid diimides and a carbocyanine has been demonstrated. 1H-NMR studies have evidenced the stabilization of a G-quadruplex by the perylenetetracarboxylic acid diimide compounds and provided evidence that these and structurally related compounds inhibit the telomerase enzyme by a mechanism consistent with interaction with G-quadruplex structures.Board of Regents, University of Texas Syste
Urgency-aware Optimal Routing in Repeated Games through Artificial Currencies
When people choose routes minimizing their individual delay, the aggregate
congestion can be much higher compared to that experienced by a
centrally-imposed routing. Yet centralized routing is incompatible with the
presence of self-interested agents. How can we reconcile the two? In this paper
we address this question within a repeated game framework and propose a fair
incentive mechanism based on artificial currencies that routes selfish agents
in a system-optimal fashion, while accounting for their temporal preferences.
We instantiate the framework in a parallel-network whereby agents commute
repeatedly (e.g., daily) from a common start node to the end node. Thereafter,
we focus on the specific two-arcs case whereby, based on an artificial
currency, the agents are charged when traveling on the first, fast arc, whilst
they are rewarded when traveling on the second, slower arc. We assume the
agents to be rational and model their choices through a game where each agent
aims at minimizing a combination of today's discomfort, weighted by their
urgency, and the average discomfort encountered for the rest of the period
(e.g., a week). We show that, if prices of artificial currencies are
judiciously chosen, the routing pattern converges to a system-optimal solution,
while accommodating the agents' urgency. We complement our study through
numerical simulations. Our results show that it is possible to achieve a
system-optimal solution whilst reducing the agents' perceived discomfort by
14-20% when compared to a centralized optimal but urgency-unaware policy.Comment: Accepted for presentation at the European Control Conference 202
The role of indoleamine 2,3-dioxygenase-aryl hydrocarbon receptor pathway in the TLR4-induced tolerogenic phenotype in human DCs
A controlled inflammatory response is required for protection against infection, but persistent inflammation causes tissue damage. Dendritic cells (DCs) have a unique capacity to promote both inflammatory and anti-inflammatory processes. One key mechanism involved in DC-mediated immunosuppression is the expression of tryptophan-metabolizing enzyme indoleamine 2,3-dioxygenase (IDO). IDO has been implicated in diverse processes in health and disease but its role in endotoxin tolerance in human DCs is still controversial. Here we investigated the role of IDO in shaping DCs phenotype and function under endotoxin tolerance conditions. Our data show that TLR4 ligation in LPS-primed DCs, induced higher levels of both IDO isoforms together with the transcription factor aryl-hydrocarbon receptor (AhR), compared to unprimed controls. Additionally, LPS conditioning induced an anti-inflammatory phenotype in DCs - with an increase in IL-10 and higher expression of programmed death ligand (PD-L)1 and PD-L2 - which were partially dependent on IDO. Furthermore, we demonstrated that the AhR-IDO pathway was responsible for the preferential activation of noncanonical NF-κB pathway in LPS-conditioned DCs. These data provide new insight into the mechanisms of the TLR4-induced tolerogenic phenotype in human DCs, which can help the better understanding of processes involved in induction and resolution of chronic inflammation and tolerance
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