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

Diretriz Brasileira sobre a Saúde Cardiovascular no Climatério e na Menopausa – 2024

Women, who represent approximately half of the global population according to estimates as of January 2024, may experience signs and symptoms of menopause for at least one-third of their lives, during which they have a higher risk of cardiovascular morbidity and mortality. The effects of menopausal hormone therapy (MHT) on the progression of atherosclerosis and cardiovascular disease (CVD) events vary depending on the age at which MHT is initiated and the time since menopause until its initiation. Beneficial effects on CVD outcomes and all-cause mortality have been observed when MHT was initiated before the age of 60 or within 10 years after menopause. The decision regarding the initiation, dose, regimen, and duration of MHT should be made individually after discussing the benefits and risks with each patient. For primary prevention of postmenopausal chronic conditions, the combined use of estrogen and progestogen is not recommended in asymptomatic women, nor is the use of estrogen alone in hysterectomized women. Hormone-dependent neoplasms contraindicate MHT. For the treatment of genitourinary syndrome of menopause, vaginal estrogen therapy may be used in patients with known cardiovascular risk factors or established CVD. For women with contraindications to MHT or who refuse it, non-hormonal therapies with proven efficacy (antidepressants, gabapentin, and fezolinetant) may improve vasomotor symptoms. Compounded hormonal implants, or "bioidentical" and "compounded" hormones, and "hormone modulation" are not recommended due to lack of scientific evidence of their effectiveness and safety.Mujeres, que representan aproximadamente la mitad de la población mundial según estimaciones de enero de 2024, pueden experimentar signos y síntomas de la menopausia durante al menos un tercio de sus vidas, durante los cuales tienen un mayor riesgo de morbilidad y mortalidad cardiovascular. Los efectos de la terapia hormonal de la menopausia (THM) en la progresión de la aterosclerosis y los eventos de enfermedad cardiovascular (ECV) varían según la edad en que se inicia la THM y el tiempo transcurrido desde la menopausia hasta su inicio. Se han observado efectos beneficiosos en los resultados de ECV y la mortalidad por todas las causas cuando la THM se inició antes de los 60 años o dentro de los 10 años posteriores a la menopausia. La decisión sobre la iniciación, dosis, régimen y duración de la THM debe tomarse individualmente después de discutir los beneficios y riesgos con cada paciente. Para la prevención primaria de condiciones crónicas en la posmenopausia, no se recomienda el uso combinado de estrógeno y progestágeno en mujeres asintomáticas, ni el uso de estrógeno solo en mujeres histerectomizadas. Las neoplasias dependientes de hormonas contraindican la THM. Para el tratamiento del síndrome genitourinario de la menopausia, se puede usar terapia estrogénica vaginal en pacientes con factores de riesgo cardiovascular conocidos o ECV establecida. Para mujeres con contraindicaciones a la THM o que la rechazan, las terapias no hormonales con eficacia demostrada (antidepresivos, gabapentina y fezolinetant) pueden mejorar los síntomas vasomotores. Los implantes hormonales compuestos, o hormonas "bioidénticas" y "compuestas", y la "modulación hormonal" no se recomiendan debido a la falta de evidencia científica sobre su efectividad y seguridad.As mulheres, que representam cerca de metade da população mundial segundo estimativas de janeiro de 2024, podem sofrer com sinais e sintomas da menopausa durante pelo menos um terço de suas vidas, quando apresentam maiores risco e morbimortalidade cardiovasculares. Os efeitos da terapia hormonal da menopausa (THM) na progressão de eventos de aterosclerose e doença cardiovascular (DCV) variam de acordo com a idade em que a THM é iniciada e o tempo desde a menopausa até esse início. Efeitos benéficos nos resultados de DCV e na mortalidade por todas as causas ocorreram quando a THM foi iniciada antes dos 60 anos de idade ou nos 10 anos que se seguiram à menopausa. A decisão sobre o início, a dose, o regime e a duração da THM deve ser tomada individualmente após discussão sobre benefícios e riscos com cada paciente. Para a prevenção primária de condições crônicas na pós-menopausa, não se recomendam o uso combinado de estrogênio e progestagênio em mulheres assintomáticas nem o uso de estrogênio sozinho em mulheres histerectomizadas. Neoplasias hormônio-dependentes contraindicam a THM. Para tratamento da síndrome geniturinária da menopausa, pode-se utilizar terapia estrogênica por via vaginal em pacientes com fatores de risco cardiovascular conhecidos ou DCV estabelecida. Para mulheres com contraindicação à THM ou que a recusam, terapias não hormonais com eficácia comprovada (antidepressivos, gabapentina e fezolinetante) podem melhorar os sintomas vasomotores. Os implantes hormonais manipulados, ou hormônios “bioidênticos” “manipulados”, e a ‘modulação hormonal’ não são recomendados pela falta de evidência científica de sua eficácia e segurança

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

Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: A pooled analysis of 1018 population-based measurement studies with 88.6 million participants

© The Author(s) 2018. Background: Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. Methods: We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probittransformed) prevalence of raised blood pressure and age-group- and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure. Results: In 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the highincome Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association. Conclusions: Change in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups

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

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements

Combination of searches for heavy spin-1 resonances using 139 fb−1 of proton-proton collision data at s = 13 TeV with the ATLAS detector

A combination of searches for new heavy spin-1 resonances decaying into different pairings of W, Z, or Higgs bosons, as well as directly into leptons or quarks, is presented. The data sample used corresponds to 139 fb−1 of proton-proton collisions at = 13 TeV collected during 2015–2018 with the ATLAS detector at the CERN Large Hadron Collider. Analyses selecting quark pairs (qq, bb, , and tb) or third-generation leptons (τν and ττ) are included in this kind of combination for the first time. A simplified model predicting a spin-1 heavy vector-boson triplet is used. Cross-section limits are set at the 95% confidence level and are compared with predictions for the benchmark model. These limits are also expressed in terms of constraints on couplings of the heavy vector-boson triplet to quarks, leptons, and the Higgs boson. The complementarity of the various analyses increases the sensitivity to new physics, and the resulting constraints are stronger than those from any individual analysis considered. The data exclude a heavy vector-boson triplet with mass below 5.8 TeV in a weakly coupled scenario, below 4.4 TeV in a strongly coupled scenario, and up to 1.5 TeV in the case of production via vector-boson fusion

Measurement and interpretation of same-sign W boson pair production in association with two jets in pp collisions at s = 13 TeV with the ATLAS detector

This paper presents the measurement of fducial and diferential cross sections for both the inclusive and electroweak production of a same-sign W-boson pair in association with two jets (W±W±jj) using 139 fb−1 of proton-proton collision data recorded at a centre-of-mass energy of √s = 13 TeV by the ATLAS detector at the Large Hadron Collider. The analysis is performed by selecting two same-charge leptons, electron or muon, and at least two jets with large invariant mass and a large rapidity diference. The measured fducial cross sections for electroweak and inclusive W±W±jj production are 2.92 ± 0.22 (stat.) ± 0.19 (syst.)fb and 3.38±0.22 (stat.)±0.19 (syst.)fb, respectively, in agreement with Standard Model predictions. The measurements are used to constrain anomalous quartic gauge couplings by extracting 95% confdence level intervals on dimension-8 operators. A search for doubly charged Higgs bosons H±± that are produced in vector-boson fusion processes and decay into a same-sign W boson pair is performed. The largest deviation from the Standard Model occurs for an H±± mass near 450 GeV, with a global signifcance of 2.5 standard deviations