361 research outputs found

    Evaluating the landscape of fear between apex predatory sharks and mobile sea turtles across a large dynamic seascape

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    The ‘‘landscape of fear’’ model has been proposed as a unifying concept in ecology, describing, in part, how animals behave and move about in their environment. The basic model predicts that as an animal’s landscape changes from low to high risk of predation, prey species will alter their behavior to risk avoidance. However, studies investigating and evaluating the landscape of fear model across large spatial scales (tens to hundreds of thousands of square kilometers) in dynamic, open, aquatic systems involving apex predators and highly mobile prey are lacking. To address this knowledge gap, we investigated predator–prey relationships between tiger sharks (Galeocerdo cuvier) and loggerhead turtles (Caretta caretta) in the North Atlantic Ocean. This included the use of satellite tracking to examine shark and turtle distributions as well as their surfacing behaviors under varying levels of home range overlap. Our findings revealed patterns that deviated from our a priori predictions based on the landscape of fear model. Specifically, turtles did not alter their surfacing behaviors to risk avoidance when overlap in shark–turtle core home range was high. However, in areas of high overlap with turtles, sharks exhibited modified surfacing behaviors that may enhance predation opportunity. We suggest that turtles may be an important factor in determining shark distribution, whereas for turtles, other life history trade-offs may play a larger role in defining their habitat use. We propose that these findings are a result of both biotic and physically driven factors that independently or synergistically affect predator–prey interactions in this system. These results have implications for evolutionary biology, community ecology, and wildlife conservation. Further, given the difficulty in studying highly migratory marine species, our approach and conclusions may be applied to the study of other predator–prey systems.Bald Head Island ConservancyBritish Chelonia GroupNatural Environmental Research CouncilWAVE Foundation/Newport Aquarium CincinnatiPADI project AWARESEATURTLE.ORGWhitener Foundation (NC); an Endangered Species Act Section 6 Cooperative Agreement with NOAA Fisheries and the Grays Reef National Marine Sanctuary (South Carolina and Georgia)Batchelor FoundationDinsey Conservation Fun

    ‘It depends on where you were born…here in the North East, there’s not really many job opportunities compared to in the South’: young people’s perspectives on a North-South health divide and its drivers in England, UK

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    Background Improving the public’s understanding of how regional and socioeconomic inequalities create and perpetuate inequalities in health, is argued to be necessary for building support for policies geared towards creating a more equal society. However, research exploring public perceptions of health inequalities, and how they are generated, is limited. This is particularly so for young people. Our study sought to explore young people’s lived experiences and understandings of health inequalities.Methods We carried out focus group discussions (n=18) with 42 young people, aged 13–21, recruited from six youth organisations in England in 2021. The organisations were located in areas of high deprivation in South Yorkshire, the North East and London. Young people from each organisation took part in three interlinked focus group discussions designed to explore their (i) perceptions of factors impacting their health in their local area, (ii) understandings of health inequalities and (iii) priorities for change. Due to the Covid-19 pandemic, most discussions took place online (n=15). However, with one group in the North East, we carried out discussions face-to-face (n=3). Data were analysed thematically and we used NVivo-12 software to facilitate data management.Results Young people from all groups demonstrated an awareness of a North-South divide in England, UK. They described how disparities in local economies and employment landscapes between the North and the South led to tangible differences in everyday living and working conditions. They clearly articulated how these differences ultimately led to inequalities in people’s health and wellbeing, such as linking poverty and employment precarity to chronic stress. Young people did not believe these inequalities were inevitable. They described the Conservative government as prioritising the South and thus perpetuating inequalities through uneven investment.Conclusion Our study affords important insights into young people’s perceptions of how wider determinants can help explain the North-South health divide in England. It demonstrates young people’s contextualised understandings of the interplay between spatial, social and health inequalities. Our findings support calls for proequity policies to address the structural causes of regional divides in health. Further research, engaging young people in deliberative policy analysis, could build on this work

    ‘It depends on where you were born…here in the North East, there’s not really many job opportunities compared to in the South’: young people’s perspectives on a North-South health divide and its drivers in England, UK

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    Background Improving the public’s understanding of how regional and socioeconomic inequalities create and perpetuate inequalities in health, is argued to be necessary for building support for policies geared towards creating a more equal society. However, research exploring public perceptions of health inequalities, and how they are generated, is limited. This is particularly so for young people. Our study sought to explore young people’s lived experiences and understandings of health inequalities. Methods We carried out focus group discussions (n = 18) with 42 young people, aged 13–21, recruited from six youth organisations in England in 2021. The organisations were located in areas of high deprivation in South Yorkshire, the North East and London. Young people from each organisation took part in three interlinked focus group discussions designed to explore their (i) perceptions of factors impacting their health in their local area, (ii) understandings of health inequalities and (iii) priorities for change. Due to the Covid-19 pandemic, most discussions took place online (n = 15). However, with one group in the North East, we carried out discussions face-to-face (n = 3). Data were analysed thematically and we used NVivo-12 software to facilitate data management. Results Young people from all groups demonstrated an awareness of a North-South divide in England, UK. They described how disparities in local economies and employment landscapes between the North and the South led to tangible differences in everyday living and working conditions. They clearly articulated how these differences ultimately led to inequalities in people’s health and wellbeing, such as linking poverty and employment precarity to chronic stress. Young people did not believe these inequalities were inevitable. They described the Conservative government as prioritising the South and thus perpetuating inequalities through uneven investment. Conclusions Our study affords important insights into young people’s perceptions of how wider determinants can help explain the North-South health divide in England. It demonstrates young people’s contextualised understandings of the interplay between spatial, social and health inequalities. Our findings support calls for pro-equity policies to address the structural causes of regional divides in health. Further research, engaging young people in deliberative policy analysis, could build on this work

    Burning in Banksia Woodlands: How Does the Fire-Free Period Influence Reptile Communities?

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    Fire is an important management tool for both hazard reduction burning and maintenance of biodiversity. The impact of time since last fire on fauna is an important factor to understand as land managers often aim for prescribed burning regimes with specific fire-free intervals. However, our current understanding of the impact of time since last fire on fauna is largely unknown and likely dependent on vegetation type. We examined the responses of reptiles to fire age in banksia woodlands, and the interspersed melaleuca damplands among them, north of Perth, Western Australia, where the current prescribed burning regime is targeting a fire-free period of 8–12 years. The response of reptiles to fire was dependent on vegetation type. Reptiles were generally more abundant (e.g. Lerista elegans and Ctenophorus adelaidensis) and specious in banksia sites. Several species (e.g. Menetia greyii, Cryptoblepharus buchananii) preferred long unburnt melaleuca sites (>16 years since last fire, YSLF) compared to recently burnt sites (<12 YSLF). Several of the small elapids (e.g. the WA priority listed species Neelaps calonotus) were only detected in older-aged banksia sites (>16 YSLF). The terrestrial dragon C. adelaidensis and the skink Morethia obscura displayed a strong response to fire in banksia woodlands only. Highest abundances of the dragon were detected in the recently burnt (<7 YSLF) and long unburnt (>35 YSLF) banksia woodlands, while the skink was more abundant in older sites. Habitats from a range of fire ages are required to support the reptiles we detected, especially the longer unburnt (>16 YSLF) melaleuca habitat. Current burning prescriptions are reducing the availability of these older habitats

    Search for the neutral Higgs bosons of the minimal supersymmetric standard model in pp collisions at root s=7 TeV with the ATLAS detector

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    A search for neutral Higgs bosons of the Minimal Supersymmetric Standard Model (MSSM) is reported. The analysis is based on a sample of proton-proton collisions at a centre-of-mass energy of 7TeV recorded with the ATLAS detector at the Large Hadron Collider. The data were recorded in 2011 and correspond to an integrated luminosity of 4.7 fb-1 to 4.8 fb-1. Higgs boson decays into oppositely-charged muon or τ lepton pairs are considered for final states requiring either the presence or absence of b-jets. No statistically significant excess over the expected background is observed and exclusion limits at the 95% confidence level are derived. The exclusion limits are for the production cross-section of a generic neutral Higgs boson, φ, as a function of the Higgs boson mass and for h/A/H production in the MSSM as a function of the parameters mA and tan β in the mhmax scenario for mA in the range of 90GeV to 500 GeV. Copyright CERN

    The Effects of Hydrogen Peroxide on the Circadian Rhythms of Microcystis aeruginosa

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    Background: The cyanobacterium Microcystis aeruginosa is one of the principal bloom-forming cyanobacteria present in a wide range of freshwater ecosystems. M. aeruginosa produces cyanotoxins, which can harm human and animal health. Many metabolic pathways in M. aeruginosa, including photosynthesis and microcystin synthesis, are controlled by its circadian rhythms. However, whether xenobiotics affect the cyanobacterial circadian system and change its growth, physiology and biochemistry is unknown. We used real-time PCR to study the effect of hydrogen peroxide (H2O2) on the expression of clock genes and some circadian genes in M. aeruginosa during the light/dark (LD) cycle. Results: The results revealed that H 2O 2 changes the expression patterns of clock genes (kaiA, kaiB, kaiC and sasA) and significantly decreases the transcript levels of kaiB, kaiC and sasA. H2O2 treatment also decreased the transcription of circadian genes, such as photosynthesis-related genes (psaB, psbD1 and rbcL) and microcystin-related genes (mcyA, mcyD and mcyH), and changed their circadian expression patterns. Moreover, the physiological functions of M. aeruginosa, including its growth and microcystin synthesis, were greatly influenced by H 2O 2 treatment during LD. These results indicate that changes in the cyanobacterial circadian system can affect its physiological and metabolic pathways. Conclusion: Our findings show that a xenobiotic can change the circadian expression patterns of its clock genes t

    Clinical, laboratory and pathological findings in dogs experimentally infected with Angiostrongylus vasorum

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    The aim of this comparative study was to investigate the development of clinical signs and accompanying haematological, coproscopic and pathological findings as a basis for the monitoring of health condition of Angiostrongylus vasorum infected dogs. Six beagles were orally inoculated with 50 (n = 3) or 500 (n = 3) A. vasorum third stage larvae (L3) obtained from experimentally infected Biomphalaria glabrata snails. Two dogs were treated with moxidectin/imidacloprid spot-on solution and two further dogs with an oral experimental compound 92 days post infection (dpi), and were necropsied 166 dpi. Two untreated control dogs were necropsied 97 dpi. Prepatency was 47-49 days. Dogs inoculated with 500 L3 exhibited earlier (from 42 dpi) and more severe respiratory signs. Clinical signs resolved 12 days after treatment and larval excretion stopped within 20 days in all four treated dogs. Upon necropsy, 10 and 170 adult worms were recovered from the untreated dogs inoculated with 50 and 500 L3, respectively. Adult worms were also found in two treated dogs, in the absence of L1 or eggs. Despite heavy A. vasorum infection load and severe pulmonary changes including vascular thrombosis, only mild haematological changes were observed. Eosinophilia was absent but the presence of plasma cells was observed. Neutrophilic leucocytes showed a transient increase but only after treatment. Signs for coagulopathies were slight; nevertheless coagulation parameters were inoculation dose dependent. Ten weeks after treatment pulmonary fibrosis was still present. Infections starting from 50 L3 of A. vasorum had a massive impact on lung tissues and therefore on the health of affected dogs, particularly after prepatency, although only mild haematological abnormalities were evident

    Baricitinib plus Remdesivir for Hospitalized Adults with Covid-19

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    BACKGROUND: Severe coronavirus disease 2019 (Covid-19) is associated with dysregulated inflammation. The effects of combination treatment with baricitinib, a Janus kinase inhibitor, plus remdesivir are not known. METHODS: We conducted a double-blind, randomized, placebo-controlled trial evaluating baricitinib plus remdesivir in hospitalized adults with Covid-19. All the patients received remdesivir (≤10 days) and either baricitinib (≤14 days) or placebo (control). The primary outcome was the time to recovery. The key secondary outcome was clinical status at day 15. RESULTS: A total of 1033 patients underwent randomization (with 515 assigned to combination treatment and 518 to control). Patients receiving baricitinib had a median time to recovery of 7 days (95% confidence interval [CI], 6 to 8), as compared with 8 days (95% CI, 7 to 9) with control (rate ratio for recovery, 1.16; 95% CI, 1.01 to 1.32; P = 0.03), and a 30% higher odds of improvement in clinical status at day 15 (odds ratio, 1.3; 95% CI, 1.0 to 1.6). Patients receiving high-flow oxygen or noninvasive ventilation at enrollment had a time to recovery of 10 days with combination treatment and 18 days with control (rate ratio for recovery, 1.51; 95% CI, 1.10 to 2.08). The 28-day mortality was 5.1% in the combination group and 7.8% in the control group (hazard ratio for death, 0.65; 95% CI, 0.39 to 1.09). Serious adverse events were less frequent in the combination group than in the control group (16.0% vs. 21.0%; difference, -5.0 percentage points; 95% CI, -9.8 to -0.3; P = 0.03), as were new infections (5.9% vs. 11.2%; difference, -5.3 percentage points; 95% CI, -8.7 to -1.9; P = 0.003). CONCLUSIONS: Baricitinib plus remdesivir was superior to remdesivir alone in reducing recovery time and accelerating improvement in clinical status among patients with Covid-19, notably among those receiving high-flow oxygen or noninvasive ventilation. The combination was associated with fewer serious adverse events. (Funded by the National Institute of Allergy and Infectious Diseases; ClinicalTrials.gov number, NCT04401579.)
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