A stochastic model for simulating the FC and ZFC processes of FE and PY particles / Um modelo estocástico para a realização de simulações dos processos de FC e ZFC de partículas de FE e PY

 We performed computer simulations on the nanoscopic scale to find the energy distribution of the anisotropic barrier of Fe and Py nanoparticles. We investigated the physical properties of these magnetic nanoparticles for potential application in the catalysis of coal liquefaction. We examined the characteristics of the microstructure of these fundamental nanoparticles to optimize the ability to catalyze the breakdown of carbon-carbon bonds. We reported our results for nanoparticles, cubic, Fe and Py. We constructed ZFC and FC curves to determine the distribution of the blocking temperature. The ZFC and FC curves exhibit the same blocking temperature, behavior dependent on the magnitude of the applied magnetic field. Finite-scale scale effects determinant for technological applications are reported. Keywords: Nanoparticles, Magnetism, Catalyst, Liquefaction, Coal. 

Data analytics applied to the analysis of petroleum production in Brazil / Análise de dados aplicada à análise da produção de petróleo no Brasil

We mine the set of data provided by the ANP (Agência Nacional do Petróleo e Gás - National Oil and Gas Agency), of petroleum production and distribution in Brazilian territory. We use modern data science techniques to collect, analyze, treat and model hydrocarbon production data from all production units operating in the period from February 2009 to 2020. We highlight the high production of hydrocarbons in the Brazilian territory related to the performance of Petrobras, responsible for about 95% of Brazilian production. We report the discovery of an apparent paradox: the Tupi field presents the highest daily production, however it is not the largest national producer, a position that belongs to the Marlim field, yet we present the data analytics techniques that we use to solve this paradox

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.

A computational application to assist the teaching of physics to visually impaired students / Uma aplicação computacional para auxiliar o ensino de física a alunos com deficiência visual

In response to the needs of including students in the teaching-learning process, we reported our results with Ciência Fácil software. The Ciência Fácil program is a product resulting from work in the classroom to include students with vision pathologies, specifically visual pathology classified as low vision. This software is a technological answer, adapted for cell phones, proposed to assist students in the teaching-learning process of Physics content. Newton's laws comprise the Physics content used in the experiments carried out with our application. The experiments were carried out in the form of questions. Given the answers, we performed the statistical analysis of the results. Before the use of Ciência Fácil, the students presented partial or none knowledge about Newton's Laws. According to experimentation, the use of software helped students in the teaching-learning process. We concluded that the Ciência Fácil application can contribute to the learning of students with low vision.

Software quality metrics in the automatic evaluation of Python introductory programming: Métricas de qualidade de software na avaliação automática da programação introdutória Python

Numerous virtual environments with automatic program evaluation have emerged to assist the teaching-learning process, allowing timely feedback. In a review of these environments, we find few studies that focus on an approach centered on refactoring: where students are strongly encouraged to refactor, improving the submitted code to also meet quality criteria. In a traditional environment, the student submits the answer and if it is dynamically correct, he goes to the next question. In this work, we propose a complementary approach based on software engineering metrics, which allow a finer evaluation of the code where the programmer, after having his dynamically correct answer, is invited and encouraged to refactor his solution towards an optimal code that also meets the software quality metrics. The work is based on source code in the Python language and shows which software quality metrics can be used with the purpose of encouraging students to refactor their code in programming fundamentals disciplines

MANEJO ECOFISIOLÓGICO DO PASTO NA PRODUÇÃO DE OVINOS

Objetivou-se com esta revisão de literatura apresentar alguns resultados de pesquisa, por meio de trabalhos que buscaram consolidar a melhor forma de manejo das pastagens e do pastejo. Buscou-se aliar estudos já existentes na área, para comparar com os resultados obtidos com as novas técnicas. Nas pesquisas são utilizadas os sitemas de pastejo sob lotação continua e sob lotação rotativa, com o âmbito de equilibrar o manejo com a fisiologia da planta. Conclui-se com os resultados de pesquisas que cada cultivar deve ter seu própio manejo, pois reagem de forma diferente após a desfolhação. Porém, sem um manejo adequado da estrutura do pasto, nem o animal e nem a planta poderão exercer seu máximo potencial produtivo. Neste sentido, estudos devem ser realizados para que possamos entender e aliar o manejo do pastejo com o manejo da pastagem, maximizando o sistema de produção.

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Aspectos anatomopatológicos das neoplasias malignas renais: Anatomopathological aspects of malignant renal neoplasms

As neoplasias renais correspondem ao crescimento exacerbado de células tumorais no interior dos rins, classificadas como benignas ou malignas. Neste estudo será abordado sobre as neoplasias malignas renais, a qual correspondem a maior prevalência e são representadas pelo carcinoma de células renais e o tumor de Wilms, com a finalidade de descrever a respeito dos aspectos anatomopatológicos, disseminando informações para o diagnóstico e manejo precoce. O carcinoma de células renais é mais prevalente no sexo masculino, indivíduos mais velhos, geralmente assintomático, contribuindo para o diagnóstico tardio junto a existência de metástases e terapêutica irresponsiva. Não se trata de uma doença genética, sendo o caráter esporádico o predominante, neste contexto os fatores de risco, sobretudo o tabagismo em seguida de obesidade hemodiálise e doenças genéticas são potenciais desencadeantes da enfermidade. Os exames complementares associado a clínica, junto ao acompanhamento eleva a possibilidade de identificação antes de avanços metastáticos. O tumor de Wilms é típico de crianças, acometendo um ou ambos os rins, normalmente com alguma anomalia genética, sendo os sinais inespecíficos, mas sempre manifestando massa palpável e dor abdominal, a qual os métodos de imagem confirmam o diagnóstico e estimam o prognóstico deste. Neste contexto, elucida-se a transcendência que os aspectos anatomopatológicos das neoplasias malignas renais oferecem para a diagnose precoce, devido a escassez e inespecificidafe das manifestações clínicas. Logo, a junção do perfil de cada neoplasia abordado conduz ao manejo adequado e reduz a incidência de tratamentos agressivos e irresponsivos