New cosmological constraints on f(T) gravity in light of full Planck-CMB and type Ia supernovae data

We investigate two new observational perspectives in the context of torsional gravitational modification of general relativity, i.e., the f(T) gravity: (i) We use Pantheon data of type Ia supernovae motivated by a time variation of the Newton’s constant on the supernovae distance modulus relation, and find that a joint analysis with baryon acoustic oscillations (BAO) and big bang nucleosynthesis (BBN), i.e., Pantheon + BAO + BBN , provides constraints on the effective free parameter of the theory to be well compatible with the Λ CDM prediction; (ii) We present the framework of f(T) gravity at the level of linear perturbations with the phenomenological functions, namely the effective gravitational coupling μ and the light deflection parameter Σ , which are commonly used to parametrize possible modifications of the Poisson equation relating the matter density contrast to the lensing and the Newtonian potentials, respectively. We use the available cosmic microwave background (CMB) datasets from the Planck 2018 release to constrain the free parameters of the f(T) power-law gravity and Λ CDM models. We find that CMB data, and its joint analyses with Pantheon and BAO data constrain the f(T) power-law gravity scenario to be practically indistinguishable from the Λ CDM model. We obtain the strongest limits ever reported on f(T) power-law gravity scenario at the cosmological level

Inferring S8(z) and γ (z) with cosmic growth rate measurements using machine learning

Measurements of the cosmological parameter S8 provided by cosmic microwave background and large scale structure data reveal some tension between them, suggesting that the clustering features of matter in these early and late cosmological tracers could be different. In this work, we use a supervised learning method designed to solve Bayesian approach to regression, known as Gaussian Processes regression, to quantify the cosmic evolution of S8 up to z ~1.5. For this, we propose a novel approach to find firstly the evolution of the function σ8(z), then we find the function S8(z). As a sub-product we obtain a minimal cosmological modeldependent σ8(z = 0) and S8(z = 0) estimates. We select independent data measurements of the growth rate f (z) and of [ f σ8](z) according to criteria of non-correlated data, then we perform the Gaussian reconstruction of these data sets to obtain the cosmic evolution of σ8(z), S8(z), and the growth index γ (z). Our statistical analyses show that S8(z) is compatible with Planck CDM cosmology; when evaluated at the present time we find σ8(z = 0) = 0.766 ± 0.116 and S8(z = 0) = 0.732 ± 0.115. Applying our methodology to the growth index, we find γ (z = 0) = 0.465±0.140. Moreover, we compare our results with others recently obtained in the literature. In none of these functions, i.e. σ8(z), S8(z), and γ (z), do we find significant deviations from the standard cosmology predictions

Late-time interacting cosmologies and the Hubble constant tension

In this manuscript we reassess the potential of interacting dark matter–dark energy models in solving the Hubble constant tension. These models have been proposed but also questioned as possible solutions to the H0 problem. Here we examine several interacting scenarios against cosmological observations, focusing on the important role played by the calibration of supernovae data. In order to reassess the ability of interacting dark matter–dark energy scenarios in easing the Hubble constant tension, we systematically confront their theoretical predictions using a prior on the supernovae Ia absolute magnitude MB, which has been argued to be more robust and certainly less controversial than using a prior on the Hubble constant H0. While some data combinations do not show any preference for interacting dark sectors and in some of these scenarios the clustering σ8 tension worsens, interacting cosmologies with a dark energy equation of state w < −1 are preferred over the canonical ΛCDM picture even with cosmic microwave background data alone and also provide values of σ8 in perfect agreement with those from weak lensing surveys. Future cosmological surveys will test these exotic dark energy cosmologies by accurately measuring the dark energy equation of state and its putative redshift evolution

Late-time interacting cosmologies and the Hubble constant tension

In this manuscript we reassess the potential of interacting dark matter–dark energy models in solving the Hubble constant tension. These models have been proposed but also questioned as possible solutions to the H0 problem. Here we examine several interacting scenarios against cosmological observations, focusing on the important role played by the calibration of supernovae data. In order to reassess the ability of interacting dark matter–dark energy scenarios in easing the Hubble constant tension, we systematically confront their theoretical predictions using a prior on the supernovae Ia absolute magnitude MB, which has been argued to be more robust and certainly less controversial than using a prior on the Hubble constant H0. While some data combinations do not show any preference for interacting dark sectors and in some of these scenarios the clustering σ8 tension worsens, interacting cosmologies with a dark energy equation of state w < −1 are preferred over the canonical ΛCDM picture even with cosmic microwave background data alone and also provide values of σ8 in perfect agreement with those from weak lensing surveys. Future cosmological surveys will test these exotic dark energy cosmologies by accurately measuring the dark energy equation of state and its putative redshift evolution

New tests of dark sector interactions from the full-shape galaxy power spectrum

We explore the role of redshift-space galaxy clustering data in constraining nongravitational interactions between dark energy (DE) and dark matter (DM), for which state-of-the-art limits have so far been obtained from late-time background measurements. We use the joint likelihood for prereconstruction full-shape (FS) galaxy power spectrum and postreconstruction Baryon Acoustic Oscillation (BAO) measurements from the BOSS DR12 sample, alongside Cosmic Microwave Back ground (CMB) data from Planck: from this dataset combination we infer H0 ¼ 68.02þ0.49 −0.60 km=s=Mpc and the 2σ lower limit ξ > −0.12, among the strongest limits ever reported on the DM-DE coupling strength ξ for the particular model considered. Contrary to what has been observed for the ΛCDM model and simple extensions thereof, we find that the CMB þ FS combination returns tighter constraints compared to the CMB þ BAO one, suggesting that there is valuable additional information contained in the broadband of the power spectrum. We test this finding by running additional CMB-free analyses and removing sound horizon information, and discuss the important role of the equality scale in setting constraints on DM-DE interactions. Our results reinforce the critical role played by redshift-space galaxy clustering measurements in the epoch of precision cosmology, particularly in relation to tests of nonminimal dark sector extensions of the ΛCDM model

Revisão das cartas de controle multivariadas paramétricas

The current industrial processes with industrial automation and a high volume of data inherent to the processes have required the control of variables in real time, so you can get quick answers to the detection and correction of failures that have occurred during the process. The multivariate nature of the industrial process requires robust methods to obtain effective statistical control. Parametric Multivariate Control charts (CCMP) are widely used in the industrial sector for the monitoring and process control. Parametric multivariate control charts are traditional control charts that presupposes the knowledge of the distribution of variables, for the application of the methods found in the literature. In this article, we discuss the main procedures of CCMP found in literature: Hotelling T ², MEWMA and MCUSUM. As well as its applications in industrial processes. Considering the publications held between 2006 and 2016, surveyed in the main databases of scientific analysis. This article emphasizes the need for review articles, since they represent compiled expositions, inclined to the triggering of new ideas and fields of research. Thus, it is expected that the presented work can serve as a source of motivation for the elaboration of new studies and adaptations of the implementations discussed here.Os processos industriais atuais, dotados de automação industrial e de um alto volume de dados inerentes aos processos têm exigido o controle das variáveis em tempo real, para que seja possível obter respostas rápidas à detecção e correção de falhas ocorridas durante o processo. A natureza multivariável dos processos industriais exigem métodos mais robustos para se obtenha um controle estatístico efetivo. As Cartas de Controle Multivariadas Paramétricas são amplamente utilizadas no setor industrial para o monitoramento e controle de processos. As Cartas de Controle Multivariadas Paramétricas são cartas de controle tradicionais que pressupõe o conhecimento da distribuição das variáveis, para aplicação dos métodos encontrados na literatura. Neste artigo, discutimos os principais procedimentos de CCMP encontrados na literatura: Hotelling T², MEWMA e MCUSUM. Assim como suas aplicações nos processos industriais. Considerando as publicações realizadas entre 2006 e 2016, pesquisadas nas principais bases de dados de análise científica. Enfatiza-se neste artigo a necessidade de artigos de revisão, pois estes representam estudos expostos de forma compilada inclinando-se ao desencadeamento de novas ideias e campos de pesquisa. Assim, espera-se que o trabalho apresentado possa servir como fonte de motivação para elaboração de novos estudos e adaptações das implementações aqui discutidas

The relativistic effect of critical temperature reduction in the two dimensional Ising model / O efeito relativístico da redução crítica de temperatura no modelo bidimensional de Ising

We investigated the impact of Kaniadakis statistics on thermodynamic properties for a square magnetic grid. We used the Ising model. We reported numerical results for a two-dimensional magnetic network in a thermal bath. We calculated the probabilities of transition between states using -statistics, the Metropolis dynamics for stochastic processes of the finite-sized magnetic network, considering that the system interacts with a thermal reservoir. We investigated the behavior of various thermodynamic properties. We observed typical measurements of magnetization, energy and specific heat. Increasing the  parameter reduces the critical temperature. We observed by the measurements of the fourth order Binder cumulative of magnetization, that for different network sizes and different values of the parameter , the system transition temperature magnetic decreases as ? increases.

Açaí (Euterpe oleracea) and Bacaba (Oenocarpus bacaba) as Functional Food

This chapter reviews two oleaginous fruits that are widely consumed by people in the Amazon region: Bacaba (Oenocarpus bacaba) and Açaí (Euterpe oleracea). Besides their food and the folk medicinal uses, studies suggest that substances present in both berries have antioxidative effects, antimicrobial, and therapeutic properties such as hypocholesterolemic and neuroprotection effects. These therapeutic effects are related to phenolic compounds, anthocyanins, and fatty acids, which can prevent serious problems such as coronary heart disease, hypertension, and depression. The use of supercritical fluid technology is described as a technique to obtain the best extracts of bacaba and açaí, as well as their valuable constituents. Indubitably, this technology is a great tool for human health and all with the advantage of presenting nontoxic solvents such as carbon dioxide or water. Açaí and bacaba fruits represent not only food but also a source of compounds that can work in both prevention and treatment of diseases

INFLUÊNCIA DO ENRIQUECIMENTO AMBIENTAL NOS PADRÕES DE COMPORTAMENTOS SOCIAIS E ANORMAIS DE CABRAS EM CONFINAMENTO

A partir do processo de domesticação as cabras foram retiradas do seu ambiente natural e inseridas em um ambiente empobrecido em estímulos. O problema é que, em função do confinamento inadequado, os animais deixam de realizar comportamentos típicos da espécie e passam a desenvolver comportamentos anormais. Na tentativa de minimizar esses comportamentos, têm-se utilizado a técnica denominada enriquecimento ambiental. O objetivo do trabalho foi identificar, analisar e descrever os comportamentos sociais agonísticos e anormais de cabras confinadas com e sem o uso de enriquecimentos ambientais, relacionando-os ao ganho de peso. Para o desenvolvimento do trabalho, utilizaram-se 20 cabras mestiças (Saanen x Boer), igualmente divididas em duas baias, sendo a baia controle (Trat 1) tratada conforme a rotina do setor e a baia de enriquecimento (Trat 2) submetida à técnica de enriquecimento ambiental. Realizaram-se observações do tipo focal, perfazendo um total de 216 horas. Verificou-se que as médias de frequência dos comportamentos em cada tratamento diferiram entre si, sendo que na baia de enriquecimento ambiental os animais exibiram menor frequência de comportamentos sociais agonísticos e anormais em relação à baia controle. Conclui-se que o enriquecimento ambiental influenciou de forma positiva no comportamento anormal e social das cabras estudadas