Maximal correlation between flavor entanglement and oscillation damping due to localization effects

Localization effects and quantum decoherence driven by the mass-eigenstate wave packet propagation are shown to support a statistical correlation between quantum entanglement and damped oscillations in the scenario of three-flavor quantum mixing for neutrinos. Once the mass-eigenstates that support flavor oscillations are identified as three-{\em qubit} modes, a decoherence scale can be extracted from correlation quantifiers, namely the entanglement of formation and the logarithmic negativity. Such a decoherence scale is compared with the coherence length of damped oscillations. Damping signatures exhibited by flavor transition probabilities as an effective averaging of the oscillating terms are then explained as owing to loss of entanglement between mass modes involved in the relativistic propagation.Comment: 13 pages, 03 figure

Onset of chaotic advection in open flows

Non peer reviewedPublisher PD

Random fluctuation leads to forbidden escape of particles

A great number of physical processes are described within the context of Hamiltonian scattering. Previous studies have rather been focused on trajectories starting outside invariant structures, since the ones starting inside are expected to stay trapped there forever. This is true though only for the deterministic case. We show however that, under finitely small random fluctuations of the field, trajectories starting inside Arnold-Kolmogorov-Moser (KAM) islands escape within finite time. The non-hyperbolic dynamics gains then hyperbolic characteristics due to the effect of the random perturbed field. As a consequence, trajectories which are started inside KAM curves escape with hyperbolic-like time decay distribution, and the fractal dimension of a set of particles that remain in the scattering region approaches that for hyperbolic systems. We show a universal quadratic power law relating the exponential decay to the amplitude of noise. We present a random walk model to relate this distribution to the amplitude of noise, and investigate this phenomena with a numerical study applying random maps.Comment: 6 pages, 6 figures - Up to date with corrections suggested by referee

A Comparative Study on Graphene Oxide and Carbon Nanotube Reinforcement of PMMA-Siloxane-Silica Anticorrosive Coatings.

Carbon nanotubes (CNTs) and graphene oxide (GO) have been used to reinforce PMMA-siloxane-silica nanocomposites considered to be promising candidates for environmentally compliant anticorrosive coatings. The organic-inorganic hybrids were prepared by benzoyl peroxide (BPO)-induced polymerization of methyl methacrylate (MMA) covalently bonded through 3-(trimethoxysilyl)propyl methacrylate (MPTS) to silica domains formed by hydrolytic condensation of tetraethoxysilane (TEOS). Single-walled carbon nanotubes and graphene oxide nanosheets were dispersed by surfactant addition and in a water/ethanol solution, respectively. These were added to PMMA-siloxane-silica hybrids at a carbon (CNT or GO) to silicon (TEOS and MPTS) molar ratio of 0.05% in two different matrices, both prepared at BPO/MMA molar ratios of 0.01 and 0.05. Atomic force microscopy and scanning electron microscopy showed very smooth, homogeneous, and defect-free surfaces of approximately 3-7 μm thick coatings deposited onto A1020 carbon steel by dip coating. Mechanical testing and thermogravimetric analysis confirmed that both additives CNT and GO improved the scratch resistance, adhesion, wear resistance, and thermal stability of PMMA-siloxane-silica coatings. Results of electrochemical impedance spectroscopy in 3.5% NaCl solution, discussed in terms of equivalent circuits, showed that the reinforced hybrid coatings act as a very efficient anticorrosive barrier with an impedance modulus up to 1 GΩ cm(2), approximately 5 orders of magnitude higher than that of bare carbon steel. In the case of GO addition, the high corrosion resistance was maintained for more than 6 months in saline medium. These results suggest that both carbon nanostructures can be used as structural reinforcement agents, improving the thermal and mechanical resistance of high performance anticorrosive PMMA-siloxane-silica coatings and thus extending their application range to abrasive environments.This work was supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Coordination for the Improvement of Higher Education Personnel (CAPES), and São Paulo Research Foundation (FAPESP)This is the author accepted manuscript. The final version is available from the American Chemical Society via http://dx.doi.org/10.1021/acsami.6b0478

Self-medication In Children And Adolescents.

To determine the prevalence of self-medication in children and adolescents in the municipalities of Limeira and Piracicaba, state of São Paulo, and to correlate results with sociodemographic indicators and with the use of health care services (public or private). Descriptive population-based study of a simple random sample from the two municipalities, comprised of 772 inhabitants from 85 urban census sectors selected through cluster sampling. age < or = 18 years; interview with one parent/tutor; consumption of at least one drug in the previous 15 days. Subjects were divided into two study groups according to their pattern of drug use: self-medication (lay advice) and medical prescription. Linear association tests, descriptive analysis of variables and multiple logistic regression tests were carried out to analyze data. The prevalence of self-medication was 56.6%. Mothers (51%) and drugstore employees (20.1%) were most frequently responsible for self-medication. The main groups of self-prescribed drugs were: analgesic/antipyretic and non-hormonal anti-inflammatory drugs (52.9%); drugs acting on the respiratory tract (15.4%) and gastrointestinal drugs (9.6%); and systemic antibiotics (8.6%). The situation that most commonly motivated self-medication were respiratory diseases (17.2%), fever (15%), and headache (14%). Subjects in the age group of 7-18 years (odds ratio = 2.81) and public health care users (odds ratio = 1.52) showed increased risk for self-medication. The prevalence of self-medication in children and adolescents was high, which reinforces the need for public health interventions aiming at preventing this practice.83453-

Clinical Evidence of Human Pathogens Implicated in Alzheimer’s Disease Pathology and the Therapeutic Efficacy of Antimicrobials: An Overview

A wealth of pre-clinical reports and data derived from human subjects and brain autopsies suggest that microbial infections are relevant to Alzheimer\u27s disease (AD). This has inspired the hypothesis that microbial infections increase the risk or even trigger the onset of AD. Multiple models have been developed to explain the increase in pathogenic microbes in AD patients. Although this hypothesis is well accepted in the field, it is not yet clear whether microbial neuroinvasion is a cause of AD or a consequence of the pathological changes experienced by the demented brain. Along the same line, the gut microbiome has also been proposed as a modulator of AD. In this review, we focus on human-based evidence demonstrating the elevated abundance of microbes and microbe-derived molecules in AD hosts as well as their interactions with AD hallmarks. Further, the direct-purpose and potential off-target effects underpinning the efficacy of anti-microbial treatments in AD are also addressed

Optimizing an MPI weather forecasting model via processor virtualization

Abstract—Weather forecasting models are computationally intensive applications. These models are typically executed in parallel machines and a major obstacle for their scalability is load imbalance. The causes of such imbalance are either static (e.g. topography) or dynamic (e.g. shortwave radiation, moving thunderstorms). Various techniques, often embedded in the application’s source code, have been used to address both sources. However, these techniques are inflexible and hard to use in legacy codes. In this paper, we demonstrate the effectiveness of processor virtualization for dynamically balancing the load in BRAMS, a mesoscale weather forecasting model based on MPI paral-lelization. We use the Charm++ infrastructure, with its over-decomposition and object-migration capabilities, to move sub-domains across processors during execution of the model. Pro-cessor virtualization enables better overlap between computation and communication and improved cache efficiency. Furthermore, by employing an appropriate load balancer, we achieve better processor utilization while requiring minimal changes to the model’s code. I

Proyecto de elaboración de un plan de negocios para la creación de una microempresa dedicada al alquiler y asesoria de audio para todo tipo de eventos

In the present project a market research and financial feasibility is realized for the implementation of a microcompany, dedicated to the rent and audio advising for all kinds of events. Before the ignorance of our clients in the configuration and / or managing of the equipment of audio, and understanding the great problematic that exists for not being able to avoid common faults as the hiss, popeo, snap, feedback, humm, echo, between other parameters, which have to choose to contract hereby empirical services that do not solve all audio problems, or of companies that charge high prices or compel to buying the equipments of audio that they sell. We offer the best solution, this way to form and / or to improve the audio quality that is being emitted by the equipments in any type of events that the client requests. The study includes a study of financial viability to detail the costs that there implies the creation and development of a microcompany of this type, the income that are foreseen to obtain and of this form, with financial criteria and taking as a base the market research, the convenience of the project