102 research outputs found

    Differing short-term impacts of agricultural tarping on soil-dwelling and surface-active arthropods

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    Agricultural tarping, the practice of placing impermeable plastic tarps over crop beds before planting to suppress weeds, is rising in popularity. However, the use of tarps has uncertain effects on soil arthropod communities. We studied the impact of silage (black plastic) tarps and clear plastic tarps on surface-active and soil-dwelling arthropods by tracking immediate impacts and arthropod recovery for 5 weeks after tarps were removed. We also assessed how well environmental and experimental variables explained arthropod diversity and composition. During tarp application, we found that both silage and clear plastic tarps had significant negative impacts on surface-active arthropod diversity, while only clear plastic tarps impacted soil-dwelling arthropods. Surface-active arthropod diversity recovered by 1-3 weeks after tarping, but at 5 weeks after tarping soil-dwelling arthropod diversity was significantly lower in silage tarp and clear plastic plots than control plots. Tarps also led to compositional changes in the arthropod communities, though these changes were only significant during tarp cover. The variables that best explained arthropod diversity and community composition were treatment (i.e., silage tarp, clear plastic tarp, or control) during tarping and farm site after tarps were removed. Other variables, such as soil moisture and weed coverage, were not strong model predictors. These results imply that tarps may have temporary impacts on surface-active arthropods but potentially longer-lasting impacts on soil-dwelling arthropods. Continuing to monitor impacts on tarps on soil arthropods will better inform the sustainability of this practice

    Imaging of thoracolumbar spine traumas

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    Spine trauma is an ominous event with a high morbidity, frequent mortality, and significant psychological, social, and financial consequences for patients, their relatives and society. On average three out of four spinal fractures involve the thoracolumbar spine and up to one-third are complicated by spinal cord injury. Spinal cord injuries (SCI) are a significant cause of disability in US and in all western countries. Knowledge of the main principles of biomechanics is essential in understanding the patho-morphology of spinal injuries, and the evolution of the various classification systems. Classification systems should be able to create a common language between specialists in order to improve patients' prognosis, guide treatment and compare treatment outcomes. Imaging has always been crucial in the evaluation of the injury type and accompanied the development of different classification systems. Thoracolumbar spine (TLS) trauma has a wide spectrum ranging from minor isolated fractures to highly unstable fracture-dislocations. Early classification systems were based on the analysis of the pattern of bony injuries on radiographs and CT. Traditionally, conventional radiographs are performed to confirm the clinical suspicion and to depict the level and type of bone injury. However, because of their inherent limitations, radiographs are often more helpful in proving the existence of a suspected bony spinal injury rather than excluding it. Multidetector computed tomography (MDCT) is superior in evaluating bone anatomy and, especially in polytrauma patients, it is the first line imaging modality. Morphological bone damage may be accurately shown and classified on CT. the most recent classifications also incorporate the integrity of soft tissues structures, which is considered equally relevant to spinal stability. Injuries to ligaments and discs can only be suspected on radiographs and conventional CT, although dual-energy CT is offering new insights on collagen mapping of damaged discs. Magnetic resonance imaging (MRI) may directly assess disc and ligamentous injuries, but also subtle osseous injuries, playing a complementary role in defining the whole spinal damage and an eventual instability. MRI is the only valid modality to assess the spinal cord (SC) and is indicated whenever a neurologic injury is suspected. Advanced MRI techniques, such as diffusion weighted imaging (DWI) and tractography, may provide further information regarding the integrity of the white matter which may improve outcome prognostication. Despite challenges in terms of costs, availability, accessibility and specificity, MRI and advanced MRI techniques are increasingly being used in spinal injuries. We present a review on TLS traumas discussing on the development of different classification system used in their evaluation, the role of imaging for their detection and the correlation to the patients' outcomes and treatment options

    Can Baited Pitfall Traps for Sampling Dung Beetles Replace Conventional Traps for Sampling Ants?

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    Ants  and  dung  beetles  are  widely  used  in  monitoring  biodiversity  and  are  considered  excellent  environmental  indicators.  Although  the pitfall trap is the most commonly used method to sample dung beetles and ants in ecological studies, beetles are usually sampled using dung‐baited pitfall traps while ants are sampled using un‐baited pitfalls. In the protocol for collecting the beetles it is necessary to have attractive baits in pitfalls. In order to minimize collection effort and costs and to facilitate logistics, it is necessary to determine if there is an effect of the baits on the biodiversity of ants collected in the same traps. Therefore, the objective of this work was to find out whether baited pitfalls could replace conventional pitfalls for the capture of ants. In a total of 42 areas of native habitat, three baited pitfall traps and three without bait were installed, all in the same transect, equidistant ten meters and in activity for 48 hours. In total, 150 species were collected, of which 131 were recorded in non‐baited pitfalls and 107 in baited pitfalls. Traps without bait contributed to 28% of the total number of species captured in this study, whereas pitfalls with bait contributed only to 12% of the total species caught. However, 60% of the total species were captured regardless of the method. In addition to the loss of species among the types of traps, the effect of the method modifies the species composition. We concluded that depending on the type of study, a small decrease in the number of species and change in the composition can influence the results. Thus, we recommend that baited pitfalls should not replace conventional pitfalls.Palavras-chave: Método de coleta; Protocolo de coleta; Desenho da amostra; Esforço de amostragem

    Amplifying Agroecology in Vermont: Principles and Processes to Foster Food Systems Sustainability

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    Agroecology is grounded in principles that support transitions toward economic, social and ecological sustainability and proposes that real and lasting change will require a significant transformation of our agri-food systems. Evidence for agroecology’s potential continues to grow, both through word of mouth by farmers and social movements, and through recent scientific assessments of its performance. With endorsements from the Food & Agriculture Organization of the United Nations (FAO), national governments in both the global north and south, and social movements, it is developing the web of ‘thick legitimacy’ required for even broader adoption (Montenegro de Wit & Iles, 2016). “...Agroecology represents a system that works with nature instead of against it and offers an approach to food production that boosts biodiversity, creates ecological resilience, improves soils, cools the planet and reduces energy and resource use. It has been shown to be highly productive, to provide highly diverse dietary offerings and to support the process of community building and women’s empowerment” (Anderson et al., 2020, p. 3). However, agroecology is an approach that is not yet recognized as being actively practiced in Vermont and the USA, despite its significant potential for supporting transitions to sustainable food systems in different contexts. The University of Vermont is home to researchers and practitioners at the forefront of agroecological research and learning. The objectives of this white paper are to demonstrate the importance of agroecology for the future of sustainable food systems in Vermont, and as a framework to assess and advance transformations towards sustainability. In this paper we will: a) Demonstrate the global evidence base for agroecology and the potential of agroecology in the United States, and Vermont. b) Present the case for an agroecological principles-based approach to assess food and farming sustainability which can capture the multifunctional dynamics and benefits of agroecology to economic, social and ecological sustainability. c) Present examples based on our newly developed Agroecological Assessment for Sustainability framework to existing initiatives in Vermont that represent constituencies across a range of farm types and scales. d) Demonstrate the importance of participatory and transdisciplinary approaches for researc

    Effect of aliskiren on post-discharge outcomes among diabetic and non-diabetic patients hospitalized for heart failure: insights from the ASTRONAUT trial

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    Aims The objective of the Aliskiren Trial on Acute Heart Failure Outcomes (ASTRONAUT) was to determine whether aliskiren, a direct renin inhibitor, would improve post-discharge outcomes in patients with hospitalization for heart failure (HHF) with reduced ejection fraction. Pre-specified subgroup analyses suggested potential heterogeneity in post-discharge outcomes with aliskiren in patients with and without baseline diabetes mellitus (DM). Methods and results ASTRONAUT included 953 patients without DM (aliskiren 489; placebo 464) and 662 patients with DM (aliskiren 319; placebo 343) (as reported by study investigators). Study endpoints included the first occurrence of cardiovascular death or HHF within 6 and 12 months, all-cause death within 6 and 12 months, and change from baseline in N-terminal pro-B-type natriuretic peptide (NT-proBNP) at 1, 6, and 12 months. Data regarding risk of hyperkalaemia, renal impairment, and hypotension, and changes in additional serum biomarkers were collected. The effect of aliskiren on cardiovascular death or HHF within 6 months (primary endpoint) did not significantly differ by baseline DM status (P = 0.08 for interaction), but reached statistical significance at 12 months (non-DM: HR: 0.80, 95% CI: 0.64-0.99; DM: HR: 1.16, 95% CI: 0.91-1.47; P = 0.03 for interaction). Risk of 12-month all-cause death with aliskiren significantly differed by the presence of baseline DM (non-DM: HR: 0.69, 95% CI: 0.50-0.94; DM: HR: 1.64, 95% CI: 1.15-2.33; P < 0.01 for interaction). Among non-diabetics, aliskiren significantly reduced NT-proBNP through 6 months and plasma troponin I and aldosterone through 12 months, as compared to placebo. Among diabetic patients, aliskiren reduced plasma troponin I and aldosterone relative to placebo through 1 month only. There was a trend towards differing risk of post-baseline potassium ≥6 mmol/L with aliskiren by underlying DM status (non-DM: HR: 1.17, 95% CI: 0.71-1.93; DM: HR: 2.39, 95% CI: 1.30-4.42; P = 0.07 for interaction). Conclusion This pre-specified subgroup analysis from the ASTRONAUT trial generates the hypothesis that the addition of aliskiren to standard HHF therapy in non-diabetic patients is generally well-tolerated and improves post-discharge outcomes and biomarker profiles. In contrast, diabetic patients receiving aliskiren appear to have worse post-discharge outcomes. Future prospective investigations are needed to confirm potential benefits of renin inhibition in a large cohort of HHF patients without D

    Evolving trends in the management of acute appendicitis during COVID-19 waves. The ACIE appy II study

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    Background: In 2020, ACIE Appy study showed that COVID-19 pandemic heavily affected the management of patients with acute appendicitis (AA) worldwide, with an increased rate of non-operative management (NOM) strategies and a trend toward open surgery due to concern of virus transmission by laparoscopy and controversial recommendations on this issue. The aim of this study was to survey again the same group of surgeons to assess if any difference in management attitudes of AA had occurred in the later stages of the outbreak. Methods: From August 15 to September 30, 2021, an online questionnaire was sent to all 709 participants of the ACIE Appy study. The questionnaire included questions on personal protective equipment (PPE), local policies and screening for SARS-CoV-2 infection, NOM, surgical approach and disease presentations in 2021. The results were compared with the results from the previous study. Results: A total of 476 answers were collected (response rate 67.1%). Screening policies were significatively improved with most patients screened regardless of symptoms (89.5% vs. 37.4%) with PCR and antigenic test as the preferred test (74.1% vs. 26.3%). More patients tested positive before surgery and commercial systems were the preferred ones to filter smoke plumes during laparoscopy. Laparoscopic appendicectomy was the first option in the treatment of AA, with a declined use of NOM. Conclusion: Management of AA has improved in the last waves of pandemic. Increased evidence regarding SARS-COV-2 infection along with a timely healthcare systems response has been translated into tailored attitudes and a better care for patients with AA worldwide

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

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    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

    Pervasive gaps in Amazonian ecological research

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    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

    Pervasive gaps in Amazonian ecological research

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