Maximum Entropy Inferences on the Axion Mass in Models with Axion-Neutrino Interaction

In this work we use the Maximum Entropy Principle (MEP) to infer the mass of an axion which interacts to photons and neutrinos in an effective low energy theory. The Shannon entropy function to be maximized is suitably defined in terms of the axion branching ratios. We show that MEP strongly constrains the axion mass taking into account the current experimental bounds on the neutrinos masses. Assuming that the axion is massive enough to decay into all the three neutrinos and that MEP fixes all the free parameters of the model, the inferred axion mass is in the interval $0.1\$eV$\ <m_{A}<0.2$ eV, which can be tested by forthcoming experiments such as IAXO. However, even in the case where MEP fixes just the axion mass and no other parameter, we found that $0.1$ eV $< m_A < 6.3$ eV in the DFSZ model with right-handed neutrinos. Moreover, a light axion, allowed to decay to photons and the lightest neutrino only, is determined by MEP as a viable dark matter candidate.Comment: 13 pages, 5 figures, typos corrected, figures update

Network community detection via iterative edge removal in a flocking-like system

We present a network community-detection technique based on properties that emerge from a nature-inspired system of aligning particles. Initially, each vertex is assigned a random-direction unit vector. A nonlinear dynamic law is established so that neighboring vertices try to become aligned with each other. After some time, the system stops and edges that connect the least-aligned pairs of vertices are removed. Then the evolution starts over without the removed edges, and after enough number of removal rounds, each community becomes a connected component. The proposed approach is evaluated using widely-accepted benchmarks and real-world networks. Experimental results reveal that the method is robust and excels on a wide variety of networks. Moreover, for large sparse networks, the edge-removal process runs in quasilinear time, which enables application in large-scale networks

Inferences on the Higgs Boson and Axion Masses through a Maximum Entropy Principle

The Maximum Entropy Principle (MEP) is a method that can be used to infer the value of an unknown quantity in a set of probability functions. In this work we review two applications of MEP: one giving a precise inference of the Higgs boson mass value; and the other one allowing to infer the mass of the axion. In particular, for the axion we assume that it has a decay channel into pairs of neutrinos, in addition to the decay into two photons. The Shannon entropy associated to an initial ensemble of axions decaying into photons and neutrinos is then built for maximization.Comment: Contributed to the 13th Patras Workshop on Axions, WIMPs and WISPs, Thessaloniki, May 15 to 19, 201

The State, Aerospace Multinational Corporations and Variegated Forms of Corporate Capture in Regional Training Systems: A Cross-National Comparative Study Between Charleston, SC, U.S.A. and São José dos Campos, SP, Brazil

In today’s globalized world, the power of influence of multinational corporations over the state and society is significant. One particular area is related to how MNCs have influenced states and public educational institutions in order to shape their educational agendas and training initiatives. Many scholars have conceptualized such an influence as processes of corporate capture. In this dissertation, I examine and compare the existing processes of corporate capture related to Boeing and Embraer in the regional training systems of Charleston, South Carolina, U.S.A., and São José dos Campos, São Paulo, Brazil. I also investigate how their distinctive state forms and their forms of governance account for differences in the evolution of such processes. This research, drawing from Neo-Marxist theories of the state and labor geography, critically engages with FDI studies and the GPN literature. Methodologically, this dissertation is based on qualitative cross-national comparative methods. Fieldwork was undertaken between 2014 and 2017, when fifty-nine semi-structured interviews were conducted with state managers, representatives from educational institutions, not-for-profit organizations, and firms, among others. In this research I develop two major arguments. First, I argue that the evolution of processes of corporate capture in the regional training systems of São José dos Campos and Charleston is intrinsically connected to their accumulation strategies and state forms. However, such an evolution happens through different mechanisms and is related to different state scales. Second, I turn my attention to the local forms of governance of Charleston and São José dos Campos, claiming that they reinforce processes of corporate capture at the local scale. I argue that their tendency to reinforce processes of corporate capture in training has to be comprehended alongside with their state form and type of state selectivity

Perioperative Care In An Animal Model For Training In Abdominal Surgery: Is It Necessary A Preoperative Fasting?

Demonstrate that the rabbit may be used in the training of surgery, in addition to present its perioperative care. Thirty two animals, with age and weight, respectively, from 3 to 5.5 months old and 3000 to 4200 grams, were undergone different periods of pre-operative fasting, exclusive intramuscular anesthesia (ketamine+xylazine), laparotomy with total gastrectomy and total splenectomy. It was dosed the pre-operative (initial) and post-surgical (end) serum blood glucose, in addition to quantify the gastric content after the resection of the part. The anesthetical-surgical procedure presented a mortality rate of 3.125% (1:32) and a morbidity rate of 6.25% (2:32). It was evidenced an initial mean blood glucose = 199.4 mg/dl and the end = 326.1 mg/dl. In spite of extended fasting (minimum of 2 hours for the absolute fasting and maximum of 8.5 hours for liquids, and 20.5 hours for solids) all animals presented at the end of the surgical procedure any gastric content and a blood glucose increase. Those with fasting for liquids and solids when compared to the quantity of solid gastric content, presented a moderate negative degree of correlation. The rabbit is a good model to be used in training of surgery, with a low morbi-mortality, able to be anesthetized intramuscularly, with no need of pre-operative fasting and does not present hypoglycemia even with the extended fasting period.26541-

Products of i.i.d. random matrices and a theorem by Furstenberg

Mestrado Bolonha em Mathematical FinanceWe study the Lyapunov exponents associated to the product of i.i.d. random matrices linear cocyle in SL±(2,R). The existence of these quantities and conditions to guarantee strict positivity are established. These results are used to prove the exponential growth of a random Fibonacci sequence.info:eu-repo/semantics/publishedVersio

Ultra-wideband radio signals distribution in FTTH networks

The use of an ultra-wideband (UWB) radio technique is proposed as a viable solution for the distribution of high-definition audio/video content in fiber-to-the-home (FTTH) networks. The approach suitability is demonstrated by the transmission of standards-based UWB signals at 1.25 Gb/s along different FTTH fiber links with 25 km up to 60 km of standard single-mode fiber length in a laboratory experiment. Experimental results suggest that orthogonal frequency-division-multiplexed UWB signals exhibit better transmission performance in FFTH networks than impulse radio UWB signals