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CONTEXT: Statin use is associated with increased risk of type 2 diabetes and mild hyperglycemia. The underlying mechanisms are not well studied and the effect of statin treatment on GLP-1 secretion or production are unknown.OBJECTIVE: To assess the effects of rosuvastatin on GLP-1 secretion and production.METHODS: We performed association studies in the Malmö Diet and Cancer study cardiovascular c

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The biogeophysical forcing resulting from the change in land-surface properties (such as albedo) is of particular interest as it can increase, decrease, or offset the biogeochemical forcing resulting from the changes in atmospheric greenhouse gas concentrations due to deforestation, forest management, or reforestation/afforestation (i.e., land-use/land-cover change, LULCC). Moreover, the biogeophy

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Environmental gradients affect vegetation structure and ecosystem productivity. Along the northern Australia tropical transect (NATT), which transitions from tropical moist conditions in the north to arid conditions in the south, vegetation composition and structure are closely tied to rainfall patterns. We hypothesise that biotic competition and abiotic stress exhibit opposing patterns along the

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Background: Creatinine-based estimated glomerular filtration rate (eGFR) equations are widely used in clinical practice but exhibit inherent limitations. On the other side, measuring GFR is time consuming and not available in routine clinical practice. We developed and validated machine learning models to assess the trustworthiness (i.e. the ability of equations to estimate measured GFR (mGFR) wit

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Cell replacement therapies using human pluripotent stem cell-derived ventral midbrain (VM) dopaminergic (DA) progenitors are currently in clinical trials for treatment of Parkinson’s disease (PD). Recapitulating developmental patterning cues, such as fibroblast growth factor 8 (FGF8), secreted at the midbrain-hindbrain boundary (MHB), is critical for the in vitro production of authentic VM DA prog

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Background: The growing availability of electronic health records (EHRs) presents an opportunity to enhance patient care by uncovering hidden health risks and improving informed decisions through advanced deep learning methods. However, modeling EHR sequential data, that is, patient trajectories, is challenging due to the evolving relationships between diagnoses and treatments over time. Significa

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Realistic and accurate reconstructions of past vegetation cover are necessary to study past environmental changes. This is important since the effects of human land-use changes (e.g. agriculture, deforestation and afforestation/reforestation) on biodiversity and climate are still under debate. Over the last decade, development, validation, and application of pollen-vegetation relationship models h

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Songbirds rely on an endogenous programme encoding spatio-temporal information necessary for naive individuals to perform their first migration. Timing programmes are generated by endogenous clocks and include responses to external cues, with photoperiod being the most important. Photoperiod can advance or delay the circannual cycle and, while it is well established as a trigger for initiating mig

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In this nationwide cohort study, we assessed the long-term risk of major cardiovascular events following intensive care unit (ICU) treatment for community-acquired sepsis and septic shock, compared to the general population. We included 20313 adults admitted to Swedish ICUs between 2008 and 2019, identified through national healthcare registries, and matched each case to 20 randomly selected popul

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Damselflies (Odonata: Zygoptera) have evolved highly developed visual systems for mate recognition, flight and prey detection. Wing Interference Patterns (WIPs), which are colors generated by thin-film interference in the wing membrane, could function as visual signals and play a role in sexual selection. Because the color of these signals depends on membrane thickness, a potential conflict exists

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OBJECTIVES: Early identification of treatment response in brain metastases remains clinically challenging. This study explores tensor-valued diffusion MRI (dMRI), specifically q-space trajectory imaging (QTI), as a novel source of early imaging biomarkers during stereotactic radiotherapy (SRT).METHODS: Twenty-six patients with brain metastases were enrolled; thirteen met quality and completeness c

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Computational models play an increasingly vital role in scientific research by enabling the numerical simulation of complex processes. Such models are also fundamental in geosciences. For instance, they offer critical insights into the impacts of global change on the Earth system today and in the future. Beyond their value as research tools, models are also software products and should therefore a

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Atmospheric inverse modelling and ecosystem data assimilation are two complementary approaches to estimate CH4 emissions. The inverse approach infers emission estimates from observed atmospheric CH4 mixing ratio, which provide robust large scale constraints on total methane emissions, but with poor spatial and process resolution. On the other hand, in the ecosystem data assimilation approach, the

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Several unmet needs have been identified in allergic rhinitis: identification of the time of onset of the pollen season, optimal control of rhinitis and comorbidities, patient stratification, multidisciplinary team for integrated care pathways, innovation in clinical trials and above all patient empowerment. MASK-rhinitis (MACVIA-ARIA Sentinel NetworK for allergic rhinitis) is a simple system cent

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The Community Atmosphere-Biosphere Land Exchange model (CABLE) is a land surface model (LSM) that can be applied stand-alone and provides the land surface-atmosphere exchange within the Australian Community Climate and Earth System Simulator (ACCESS). We describe new developments that extend the applicability of CABLE for regional and global carbon-climate simulations, accounting for vegetation re

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European managed grasslands are amongst the most productive in the world. Besides temperature and the amount and timing of precipitation, grass production is also highly controlled by applications of nitrogen fertilizers and land management to sustain a high productivity. Since management characteristics of pastures vary greatly across Europe, land-use intensity and their projections are critical

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The “Green Sahara” is a period when North Africa was characterized by vegetation cover and wetlands. To qualitatively identify the orbital-climatic causation of the Green Sahara regime, we performed dynamic vegetation model (LPJ-GUESS) simulations, driven by climate forcings from coupled general circulation model (EC-Earth) simulations for the mid-Holocene, in which the vegetation is prescribed to