Publications by authors named "T R Ursu"
Objective: Evaluating the possibility of predicting chronic rhinosinusitis with nasal polyps (CRSwNP) disease course using Artificial Intelligence.
Methods: We prospectively included patients undergoing first endoscopic sinus surgery (ESS) for nasal polyposis. Preoperative (demographic data, blood eosinophiles, endoscopy, Lund-Mackay, SNOT-22 and depression PHQ scores) and follow-up data was standardly collected.
Article Synopsis
- The study examines the relationship between genetic and phenotypic variations in European crabapple (Malus sylvestris), focusing on how these variations relate to different environmental conditions across Europe.
- Researchers analyzed growth rates and carbon uptake traits of seedlings while also assessing genetic differences through microsatellite loci and methods to understand population divergence.
- Findings revealed ongoing gene flow from domesticated apples into wild populations and significant trait variations among populations; however, historical climate adaptation played a more crucial role than current climatic isolation in shaping genetic differences.
Article Synopsis
- Research discusses how current global climate models are based on air temperatures but fail to capture the soil temperatures beneath vegetation where many species thrive.
- New global maps present soil temperature and bioclimatic variables at 1-km resolution for specific depths, revealing that mean annual soil temperatures can differ significantly from air temperatures by up to 10°C.
- The findings indicate that relying on air temperature could misrepresent climate impacts on ecosystems, especially in colder regions, highlighting the need for more precise soil temperature data for ecological studies.
Species turnover is ubiquitous. However, it remains unknown whether certain types of species are consistently gained or lost across different habitats. Here, we analysed the trajectories of 1827 plant species over time intervals of up to 78 years at 141 sites across mountain summits, forests, and lowland grasslands in Europe.
View Article and Find Full Text PDFCurrent analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long-term average thermal conditions at coarse spatial resolutions only. Hence, many climate-forcing factors that operate at fine spatiotemporal resolutions are overlooked.
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