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Who needs closure? Estimating abundance with a Markovian availability model for geographically open removal samplingNARA Subscribed
Removal sampling is an important method for estimating abundance, but nearly all removal models assume closure during sampling. Yet, closure may be difficult to assume, evaluate, or enforce in many settings. To address situations where populations are geographically open between each removal sample, we incorporated a Markovian availability process into an N‐mixture model framework. This model relates local abundance available...
Phagostimulant bait sprays improve control of spotted wing drosophila (Drosophila suzukii) in soft fruitNARA Subscribed
By attracting and stimulating feeding on spray droplets, phagostimulant baits provide an opportunity to increase the efficacy of crop protection products against the spotted wing drosophila ( Drosophila suzukii ). Here, we examined the use of a high-sugar, plant-derived bait (ProBandz ® , PB) in combination with low dose insecticides and an entomopathogenic fungus Metarhizium anisopliae strain 35.79 for control of D. suzukii....
The Toxicology Investigators Consortium 2023 Annual ReportNARA Subscribed
Defining an ageing-related pathology, disease or syndrome: International Consensus StatementNARA Subscribed
Around the world, individuals are living longer, but an increased average lifespan does not always equate to an increased health span. With advancing age, the increased prevalence of ageing-related diseases can have a significant impact on health status, functional capacity and quality of life. It is therefore vital to develop comprehensive classification and staging systems for ageing-related pathologies, diseases and syndrom...
Excavating FAIR Data: the Case of the Multicenter Animal Spinal Cord Injury Study (MASCIS), Blood Pressure, and Neuro-RecoveryNARA Subscribed
Meta-analyses suggest that the published literature represents only a small minority of the total data collected in biomedical research, with most becoming ‘dark data’ unreported in the literature. Dark data is due to publication bias toward novel results that confirm investigator hypotheses and omission of data that do not. Publication bias contributes to scientific irreproducibility and failures in bench-to-bedside translati...
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