ANÁLISE DA PAISAGEM NA MICROBACIA RIO DAS ALMAS, RONDÔNIA, AMAZÔNIA OCIDENTAL, BRASIL

In recent decades, the advance of agricultural activities in the Amazon forest has been questioned in view of the negative socio-environmental consequences. It is understood that conscious environmental planning enables the use of natural resources in a sustainable manner and allows for a reduction in negative human impacts on areas of protection and conservation. Thus, the objective of this work was to provide information on the landscape characteristics of the Rio das Almas microbasin, to support environmental planning. Landscape characteristics are associated with hydrogeomorphometric and land cover characteristics, and were identified and measured by remote sensing and equations. The Rio das Almas microbasin has area of 31.74 km2, a perimeter of 34.19 km, elongated shape, altitudes from 222 to 367 m, predominance of smooth-wavy relief, 93.19% of the area considered to have low influence on the spread of fires and apt to extremely apt to agricultural mechanization, drainage network with dendritic pattern, 4th order drainage, 1.76 springs km-2, drainage density of 1.25 km km-2, maintenance coefficient of 800.9 m2 m-1, sinuosity index of 24.87% and concentration time of 3.28 h. In a period of 37 years, there was an increase in the agricultural area and a reduction in the area of native forest, in the microbasin and in the riparian zone. The Rio das Almas microbasin has potential for the development of agricultural activities, however, excessive deforestation can compromise the sustainable development of the region. It is recommended to adopt mitigating measures to reduce the anthropogenic impact on natural resources.En las últimas décadas, el progreso de las actividades agrícolas en la selva amazónica ha sido cuestionado en vista de las consecuencias socioambientales negativas. Se entiende que la planificación ambiental consciente permite el uso de los recursos naturales de manera sostenible y permite una reducción de los impactos humanos negativos en las áreas de protección y conservación. Por lo tanto, el objetivo de este trabajo fue proporcionar información sobre las características paisajísticas de la cuenca del Río das Almas, para subsidiar la planificación ambiental. Las características del paisaje están asociadas con las características hidrogeomorfométricas y la cubierta del suelo, y se identificaron y midieron mediante teledetección y ecuaciones. La Microcuentina Rio das Almas tiene una superficie de 31,74 km2, perímetro de 34,19 km, forma alargada, altitudes de 222 a 367 m, predominio de relieve ondulado suave, 93,19% del área considerada de poca influencia en la propagación de incendios y capaz de ser extremadamente adecuada para la mecanización agrícola, red de drenaje con patrón dendrítico, 4º orden de drenaje, 1,76 km-2 manantiales, densidad de drenaje de 1,25 km-2, coeficiente de mantenimiento de 800,9 m2 m-1, índice de sinuosidad del 24,87% y tiempo de concentración de 3,28 h. En el período de 37 años, hubo un aumento en el área agrícola y la reducción del área de bosque nativo, en la cuenca y en la zona ribereña. La cuenca del Río das Almas tiene un alto potencial para actividades agrícolas mecanizadas. Sin embargo.Nas últimas décadas, tem-se questionado o avanço das atividades agropecuárias sobre a floresta amazônica em vista das consequências socioambientais negativas. Entende-se que o planejamento ambiental consciente possibilita a utilização dos recursos naturais de forma sustentável e permite uma redução dos impactos negativos humanos sobre as áreas de proteção e conservação. Assim, objetivou-se com este trabalho, disponibilizar informações sobre as características da paisagem da microbacia Rio das Almas, para subsidiar o planejamento ambiental. As características da paisagem estão associadas às características hidrogeomorfométricas e da cobertura do solo, e foram identificadas e mensuradas por sensoriamento remoto e equações. A microbacia Rio das Almas tem área de 31,74 km2, perímetro de 34,19 km, forma alongada, altitudes de 222 a 367 m, predominância de relevo suave ondulado, 93,19% da área considerada de baixa influência na propagação de incêndios e apta a extremamente apta à mecanização agrícola, rede de drenagem com padrão dendrítico, 4ª ordem de drenagem, 1,76 nascentes km-2, densidade de drenagem de 1,25 km km-2, coeficiente de manutenção de 800,9 m2 m-1, índice de sinuosidade de 24,87% e tempo de concentração de 3,28 h. No período de 37 anos, houve o aumento da área de agropecuária e a redução da área de floresta nativa, na microbacia e na zona ripária. A microbacia Rio das Almas tem elevado potencial para atividades agropecuárias mecanizadas. Contudo, o desmatamento, principalmente nas áreas ripárias, compromete a gestão racional da natureza. É recomendado adotar medidas mitigadoras para reduzir o impacto antrópico nos recursos naturais, principalmente nos recursos hídricos

A evolução clínica do paciente portador de abscesso pulmonar: Clinical evolution of patients with lung abscess

Atualmente, com a era da antibioticoterapia e demais meios terapêuticos, o abscesso pulmonar decaiu em termos de morbimortalidade, mas ainda permanece como um desafio em termos diagnósticos e manejo clínico. O abscesso pulmonar corresponde a uma cavidade com pus no pulmão, envolvido por tecido inflamado e geralmente oriunda de uma infecção. O artigo objetivou descrever de modo narrativo a evolução clínica do portador de abscesso pulmonar, ressaltando os principais dados para a compreensão deste fenômeno. Um abscesso pulmonar é causado principalmente por bactérias existentes na boca ou garganta, a qual são aspiradas até os pulmões. A sintomatologia é inespecífica, abordando fadiga, inapetência, sudorese noturna, febre, perda ponderal e tosse com expectoração. O quadro clínico geralmente necessita do complemento de exames de imagem, principalmente a radiografia torácica para diagnóstic

Updated cardiovascular prevention guideline of the Brazilian Society of Cardiology: 2019

Sem informação113478788

Observation of associated near-side and away-side long-range correlations in √sNN=5.02 TeV proton-lead collisions with the ATLAS detector

Two-particle correlations in relative azimuthal angle (Δϕ) and pseudorapidity (Δη) are measured in √sNN=5.02  TeV p+Pb collisions using the ATLAS detector at the LHC. The measurements are performed using approximately 1  μb-1 of data as a function of transverse momentum (pT) and the transverse energy (ΣETPb) summed over 3.1<η<4.9 in the direction of the Pb beam. The correlation function, constructed from charged particles, exhibits a long-range (2<|Δη|<5) “near-side” (Δϕ∼0) correlation that grows rapidly with increasing ΣETPb. A long-range “away-side” (Δϕ∼π) correlation, obtained by subtracting the expected contributions from recoiling dijets and other sources estimated using events with small ΣETPb, is found to match the near-side correlation in magnitude, shape (in Δη and Δϕ) and ΣETPb dependence. The resultant Δϕ correlation is approximately symmetric about π/2, and is consistent with a dominant cos⁡2Δϕ modulation for all ΣETPb ranges and particle pT

Search for direct production of charginos and neutralinos in events with three leptons and missing transverse momentum in √s = 7 TeV pp collisions with the ATLAS detector

A search for the direct production of charginos and neutralinos in final states with three electrons or muons and missing transverse momentum is presented. The analysis is based on 4.7 fb−1 of proton–proton collision data delivered by the Large Hadron Collider and recorded with the ATLAS detector. Observations are consistent with Standard Model expectations in three signal regions that are either depleted or enriched in Z-boson decays. Upper limits at 95% confidence level are set in R-parity conserving phenomenological minimal supersymmetric models and in simplified models, significantly extending previous results

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

Measurement of χ c1 and χ c2 production with s√ = 7 TeV pp collisions at ATLAS

The prompt and non-prompt production cross-sections for the χ c1 and χ c2 charmonium states are measured in pp collisions at s√ = 7 TeV with the ATLAS detector at the LHC using 4.5 fb−1 of integrated luminosity. The χ c states are reconstructed through the radiative decay χ c → J/ψγ (with J/ψ → μ + μ −) where photons are reconstructed from γ → e + e − conversions. The production rate of the χ c2 state relative to the χ c1 state is measured for prompt and non-prompt χ c as a function of J/ψ transverse momentum. The prompt χ c cross-sections are combined with existing measurements of prompt J/ψ production to derive the fraction of prompt J/ψ produced in feed-down from χ c decays. The fractions of χ c1 and χ c2 produced in b-hadron decays are also measured