12 research outputs found

    Report of the Working Group on Habitat Use of Tursiops truncatus in the Southwest Atlantic Ocean

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    The review compiles available information about the habitat use patterns of bottlenose dolphins within the SWAO, including temporal analysis of survey effort allocation, and spatial analysis indicating areas of resident or seasonally resident populations.

    Prospecção fitoquímica do arilo de sementes de maracujá amarelo e influência em germinação de sementes Phytochemical screening of the arils of yellow passion fruits seeds and influence on the seed germination

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    O maracujazeiro amarelo é propagado por sementes que apresentam problemas na sua germinação devido à presença do arilo que pode conter substâncias inibidoras. O trabalho foi realizado com o objetivo de identificar as classes de metabolitos especiais contidas no arilo das sementes de maracujá amarelo. Para isso, após a extração do arilo das sementes de maracujá amarelo, foram obtidos os extratos de diclorometano e metanol. As classes foram identificadas por meio de prospecção fitoquímica aliada à análise de espectros de infravermelho e ressonância magnética nuclear de hidrogênio (RMN 1H) de frações dos extratos obtidas com fracionamento em coluna de gel de sílica. Para avaliação da sensibilidade das sementes a essas substâncias, foram instalados testes de germinação com sementes de alface. No extrato de arilo obtido com diclorometano, identificaram-se esteróides e triterpenóides, verificou-se inibição da germinação das sementes. No extrato metanólico, identificaram-se açúcares redutores e verificou-se redução da germinação das sementes.<br>The passion fruit is propagated by seeds that have problems in their germination due to the presence of aryl which may contain inhibitory substances. The aim of this research was to identify the metabolites classes contained on the aril of yellow passion fruit. For this, after arils extraction, dichlorometane and methanol extracts were obtained. The Classes of metabolites were identified by phytochemical screening coupled with infrared spectroscopy and nuclear magnetic resonance (1H NMR) and extract fractions were obtained by fractionation on a column of silica gel. To evaluate the sensitivity of seeds to these substances, germination tests with lettuce seeds were installed. In aril extract obtained with dichloromethane, steroids and triterpenoids were identified and inhibition of seeds germination observed. In the methanol extract, reducing sugars were found and it was verified reduction of seeds germination

    NTAL is associated with treatment outcome, cell proliferation and differentiation in acute promyelocytic leukemia

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    Non-T cell activation linker (NTAL) is a lipid raft-membrane protein expressed by normal and leukemic cells and involved in cell signaling. In acute promyelocytic leukemia (APL), NTAL depletion from lipid rafts decreases cell viability through regulation of the Akt/PI3K pathway. The role of NTAL in APL cell processes, and its association with clinical outcome, has not, however, been established. Here, we show that reduced levels of NTAL were associated with increased all-trans retinoic acid (ATRA)-induced differentiation, generation of reactive oxygen species, and mitochondrial dysfunction. Additionally, NTAL-knockdown (NTAL-KD) in APL cell lines led to activation of Ras, inhibition of Akt/mTOR pathways, and increased expression of autophagy markers, leading to an increased apoptosis rate following arsenic trioxide treatment. Furthermore, NTAL-KD in NB4 cells decreased the tumor burden in (NOD scid gamma) NSG mice, suggesting its implication in tumor growth. A retrospective analysis of NTAL expression in a cohort of patients treated with ATRA and anthracyclines, revealed that NTAL overexpression was associated w

    Implementation of a Brazilian Cardioprotective Nutritional (BALANCE) Program for improvement on quality of diet and secondary prevention of cardiovascular events: A randomized, multicenter trial

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    Background: Appropriate dietary recommendations represent a key part of secondary prevention in cardiovascular disease (CVD). We evaluated the effectiveness of the implementation of a nutritional program on quality of diet, cardiovascular events, and death in patients with established CVD. Methods: In this open-label, multicenter trial conducted in 35 sites in Brazil, we randomly assigned (1:1) patients aged 45 years or older to receive either the BALANCE Program (experimental group) or conventional nutrition advice (control group). The BALANCE Program included a unique nutritional education strategy to implement recommendations from guidelines, adapted to the use of affordable and regional foods. Adherence to diet was evaluated by the modified Alternative Healthy Eating Index. The primary end point was a composite of all-cause mortality, cardiovascular death, cardiac arrest, myocardial infarction, stroke, myocardial revascularization, amputation, or hospitalization for unstable angina. Secondary end points included biochemical and anthropometric data, and blood pressure levels. Results: From March 5, 2013, to Abril 7, 2015, a total of 2534 eligible patients were randomly assigned to either the BALANCE Program group (n = 1,266) or the control group (n = 1,268) and were followed up for a median of 3.5 years. In total, 235 (9.3%) participants had been lost to follow-up. After 3 years of follow-up, mean modified Alternative Healthy Eating Index (scale 0-70) was only slightly higher in the BALANCE group versus the control group (26.2 ± 8.4 vs 24.7 ± 8.6, P <.01), mainly due to a 0.5-serving/d greater intake of fruits and of vegetables in the BALANCE group. Primary end point events occurred in 236 participants (18.8%) in the BALANCE group and in 207 participants (16.4%) in the control group (hazard ratio, 1.15; 95% CI 0.95-1.38; P =.15). Secondary end points did not differ between groups after follow-up. Conclusions: The BALANCE Program only slightly improved adherence to a healthy diet in patients with established CVD and had no significant effect on the incidence of cardiovascular events or death. © 2019 The Author

    Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

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    International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora

    Measurement of the radius dependence of charged-particle jet suppression in Pb–Pb collisions at sNN=5.02\sqrt{s_{\rm NN}} = 5.02 TeV

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    The ALICE Collaboration reports a new differential measurement of inclusive jet suppression using pp and Pb–Pb collision data at center-of-mass energy per nucleon–nucleon collision sNN=5.02\sqrt{s_{\rm NN}} = 5.02 TeV. Charged-particle jets are reconstructed using the anti-kTk_{\rm T} algorithm with resolution parameters RR = 0.2, 0.3, 0.4, 0.5, and 0.6 in pp collisions and RR = 0.2, 0.4, 0.6 in central (0–10\%), semi-central (30–50\%), and peripheral (60–80\%) Pb–Pb collisions. The analysis uses a novel approach based on machine learning to mitigate the influence of jet background in central heavy-ion collisions, which enables measurements of inclusive jet suppression for jet pT40p_{\rm T} \ge 40 GeV/cc in central collisions at a resolution parameter of RR = 0.6. This is the lowest value of jet pTp_{\rm T} achieved for inclusive jet measurements at RR = 0.6 at the LHC, and is an important step for discriminating different models of jet quenching in the quark-gluon plasma. The transverse momentum spectra, nuclear modification factors, and derived cross section and nuclear modification factor ratios for different jet resolution parameters of charged-particle jets are presented and compared to model predictions. A mild dependence of the nuclear modification factor ratios on collision centrality and resolution parameter is observed. The results are compared to a variety of jet quenching models with varying levels of agreement, demonstrating the effectiveness of this observable to discriminate between models.The ALICE Collaboration reports a new differential measurement of inclusive jet suppression using pp and Pb-Pb collision data at center-of-mass energy per nucleon-nucleon collision sNN=5.02\sqrt{s_{\rm NN}} = 5.02 TeV. Charged-particle jets are reconstructed using the anti-kTk_{\rm T} algorithm with resolution parameters R=R = 0.2, 0.3, 0.4, 0.5, and 0.6 in pp collisions and R=R = 0.2, 0.4, 0.6 in central (0-10%), semi-central (30-50%), and peripheral (60-80%) Pb-Pb collisions. The analysis uses a novel approach based on machine learning to mitigate the influence of jet background in central heavy-ion collisions, which enables measurements of inclusive jet suppression for jet pT40p_{\rm T} \geq 40 GeV/cc in central collisions at a resolution parameter of R=0.6R = 0.6. This is the lowest value of jet pTp_{\rm T} achieved for inclusive jet measurements at R=0.6R=0.6 at the LHC, and is an important step for discriminating different models of jet quenching in the quark-gluon plasma. The transverse momentum spectra, nuclear modification factors, and derived cross section and nuclear modification factor ratios for different jet resolution parameters of charged-particle jets are presented and compared to model predictions. A mild dependence of the nuclear modification factor ratios on collision centrality and resolution parameter is observed. The results are compared to a variety of jet quenching models with varying levels of agreement, demonstrating the effectiveness of this observable to discriminate between models
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