PRÁTICAS INTEGRATIVAS E COMPLEMENTARES: SABERES E FAZERES EM COMUNIDADES QUILOMBOLAS

Integrative and Complementary Practices (PICs) emerge as a set of approaches that record and value traditional knowledge, traditions and ways of life of quilombola communities, presenting themselves as a possible strategy for promoting health and confronting inequalities in care in health Therefore, define as a general objective to identify the usual Integrative and Complementary Practices in quilombola communities in the semi-arid region of Piauí, as well as to investigate access to these practices and the care provided in the communities in the context of the health-disease process. The study was carried out through field research, concluding that integrative and complementary practices are notable in quilombola communities, where the population often resorts to traditional knowledge, rather than conventional medicine. The use of several medicinal plants was identified in the research, just as religion is also used in the search for health.Las Prácticas Integrativas y Complementarias (PIC) surgen como un conjunto de enfoques que registran y valoran los conocimientos, tradiciones y formas de vida tradicionales de las comunidades quilombolas, presentándose como una posible estrategia para promover la salud y enfrentar las desigualdades en la atención en salud. Por lo tanto, las define como un objetivo general identificar las Prácticas Integrativas y Complementarias habituales en las comunidades quilombolas de la región semiárida de Piauí, así como investigar el acceso a esas prácticas y los cuidados brindados en las comunidades en el contexto del proceso salud-enfermedad. El estudio se realizó a través de una investigación de campo y concluyó que las prácticas integradoras y complementarias son notables en las comunidades quilombolas, donde la población suele recurrir a los conocimientos tradicionales, más que a la medicina convencional. En la investigación se identificó el uso de varias plantas medicinales, así como también se utiliza la religión en la búsqueda de la salud.As Práticas Integrativas e Complementares (PICs) emergem como um conjunto de abordagens que reconhecem e valorizam saberes tradicionais, tradições e modos de vida das comunidades quilombolas, apresentando-se como uma possível estratégia para a promoção da saúde e o enfrentamento das desigualdades no cuidado em saúde Assim, define como objetivo geral identificar as Práticas Integrativas e Complementares usuais em comunidades quilombolas do semiárido Piauiense, bem como investigar o acesso a essas práticas e os cuidados dispensados nas comunidades no contexto do processo saúde-doença. O estudo foi realizado através de pesquisa de campo, podendo concluir que práticas integrativas e complementares são marcantes nas comunidades quilombolas, em que a população recorre muitas vezes aos conhecimentos tradicionais, ao invés da medicina convencional. O uso de diversas plantas medicinais foi identificado na pesquisa, assim como a religião também é utilizada em busca de saúde.  &nbsp

Cosmic Rays from the Knee to the Highest Energies

This review summarizes recent developments in the understanding of high-energy cosmic rays. It focuses on galactic and presumably extragalactic particles in the energy range from the knee (10^15 eV) up to the highest energies observed (>10^20 eV). Emphasis is put on observational results, their interpretation, and the global picture of cosmic rays that has emerged during the last decade.Comment: Invited review, submitted to Progress in Particle and Nuclear Physic

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