68 research outputs found
Experiências de ensino e aprendizagem: Pibid e a escola
Anais do II Seminário Seminário Estadual PIBID do Paraná: tecendo saberes / organizado por Dulcyene Maria Ribeiro e Catarina Costa Fernandes — Foz do Iguaçu: Unioeste; Unila, 2014Este estudo apresenta uma análise da vivência de acadêmicas do Curso de Graduação em
Letras Português-Inglês, como bolsistas do Programa Institucional de Bolsas de Iniciação à Docência
(PIBID). O objetivo é refletir acerca da experiência de inserção no espaço escolar, durante a
participação como bolsistas do PIBID, considerando a formação inicial. Como objetivos específicos
destacam-se: analisar as contribuições para os futuros docentes na participação do PIBID; aprender a
lidar com a multiplicidade e desafios da rotina escolar; observar os impactos causados nos alunos
através dos bolsistas do PIBID. Conclui-se que a participação no PIBID contribuiu significativamente
na formação profissional e pessoal, tanto dos bolsistas como dos aluno
Anti-inflammatory foods: human food patterns, bioactive principles and mechanisms of action
With the increase in life expectancy accompanied by the gradual decrease in the birth rate as well as the greater income distribution associated with the quantitative increase in the minimum wage above inflation and the increase in its purchasing power, today the Brazilian population shows a moment exactly opposite to that found in the last century both in epidemiological terms and in the nutritional pattern. Brazil is currently experiencing the same pattern of mortality as developed countries: the majority of chronic non-communicable diseases are the main cause of death associated with an established model of obesity and sedentarism. These factors incline the scientific community and health professionals to turn their efforts to find food solutions that ease this epidemiological picture and it is in this context that anti-inflammatory foods have gained prominence. The following describes the main compounds that fit this magnitude of effect and their mechanisms of action
Nutritional physical examination: historical, methodological and applied approach
The historical interest in the use of physical evaluation skills in clinical settings gained new notoriety at the end of the 20th century with evidence that patients in intensive care units experienced increased morbidity and mortality related to poor nutritional status before and/or during their admission. This awareness of the adverse effects of malnutrition led to the need for screening and evaluation tools to identify nutritional risk. no clinical finding of EFN should be considered a diagnosis per se. It is academic, scientific and clinical consensus that its results should be interpreted as suggestive, being crucial to consider the other methods of clinical evaluation of the patient\u27s nutritional status for the correct global nutritional diagnosis. However, the systematic and periodic repetition of the test may help to follow the evolution of the individual\u27s nutritional status, especially in the long term. In summary, although it requires specialized training and continuous practice of the evaluator and/or the team – in addition to requiring complementary nutritional information – the physical nutritional examination can still be considered an effective adjuvant method in the clinical evaluation of the patient’s nutritional status
Endocannabinoid system: conceptual parameters, history and therapeutic possibilities
Among the drugs considered illicit in the West, the Cannabis sativa plant is the most consumed: around 4% of the adult population, 10% of these users are in a situation of dependence. However, the medicinal use of this herb dates back to the early days of the emergence of our own species: some anthropologists theorize that some of the genus Homo has progressed in the struggle for survival with other hominids precisely because of the advanced knowledge – kept to the proper proportions – it possessed of plants like Cannabis. Millennia later, science – even focusing intensely on the chemical characterization of its more than 530 bioactive components – was still not able to generate verifiable hypotheses in order to explain two of the most remarkable characteristics of the recreational use of this plant: because small chemical changes potentiated the effect of the drug up to 100 times and, mainly, because it would be virtually impossible for an individual to suffer a lethal overdose of the substance. To overcome this paradigm, some compounds derived from delta-ninetetrahydrocannabinol (Δ9-THC) - the main component of cannabis – were radioactively marked in an experimental study and, after their induction, it was discovered that they had tropism by brain membranes and that their binding was saturated and stereosleptic. Such evidence strongly suggested the existence of endogenous receptors for the drug and it was these findings that led to the discovery of the Endocanabinoid System (SEC): a physiological apparatus made up of endogenous receptors and binders, philogenetically conserved, responsible for several controls related to neuronal homeostasis
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
Anais do V Encontro Brasileiro de Educomunicação: Educação midiática e políticas públicas
A presente coletânea, que chega ao público através de um suporte digital, tem como objetivo disponibilizar os papers, bem como os relatos de experiências educomunicativas apresentados durante o V ENCONTRO BRASILEIRO DE EDUCOMUNICAÇÃO, que teve como tema central: “Educação Midiática e Políticas Públicas”. O evento foi realizado em São Paulo, entre 19 e 21 de setembro de 2013, a partir de uma parceria entre o NCE/USP - Núcleo de Comunicação e Educação da USP, a Licenciatura em Educomunicação da ECA/USP, a ABPEducom – Associação Brasileira de Pesquisadores e Profissionais da Educomunicação e a FAPCOM – Faculdade Paulus de Tecnologia e Comunicação, que ofereceu seu campus, na Vila Mariana, para os atos do evento.
Os presentes anais disponibilizam o texto de abertura, de autoria do coordenador geral do evento, denominado “Educação midiática e políticas públicas: vertentes históricas da emergência da Educomunicação na América Latina”. Na sequência, apresentam 61 papers sobre aspectos específicos da temática geral, resultantes de pesquisas na área, seguidos de 27 relatos de práticas educomunicativas, em nível nacional
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 understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost
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 understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost
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