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Key factors of the deranged antiviral response in elderly patients with COVID-19: a machine-learning analysisNARA Subscribed
Age is a well-known risk factor to develop severe viral respiratory infections, including severe COVID-19. This study aimed to identify the biological alterations linked to severe disease in elderly patients with COVID-19. For this purpose, we employed a derivation cohort with 450 SARS-CoV-2 infected and unvaccinated patients admitted to hospital wards and a validation cohort with 244 SARS-CoV-2 infected and unvaccinated patie...
Consistent topsoil carbon density and driving factors in urban greenspaces and natural ecosystemsNARA Subscribed
Background Urban greenspaces have the potential to mitigate urban carbon footprints by storing soil organic carbon (SOC). Different management and plant communities associated with different types of urban greenspaces may hold contrasting SOC, as well as different proportions of particulate (POC) and mineral-associated organic carbon (MAOC). In addition, management could outweigh the effects of climate or soil properties as dr...
Background and aim The global-scale abandonment of rural areas is resulting in a mosaic of disturbed ecosystems dominated by ruderal vegetation. Yet, the impacts of climate change on the functioning of ruderal ecosystems remain virtually unknown. Methods We conducted a 4-year field experiment to evaluate, for the first time, the long-term impacts of warming and rainfall reduction on the capacity of a ruderal Mediterranean ecos...
A machine learning approach for type 2 diabetes diagnosis and prognosis using tailored heterogeneous feature subsetsNARA Subscribed
Type 2 diabetes (T2D) is becoming one of the leading health problems in Western societies, diminishing quality of life and consuming a significant share of healthcare resources. This study presents machine learning models for T2D diagnosis and prognosis, developed using heterogeneous data from a Spanish population dataset (Di@bet.es study). The models were trained exclusively on individuals classified as controls and undiagnos...
The COVID-19 pandemic triggered unparalleled political, economic, and social ramifications, exacerbating global food insecurity (FI). To understand the overall impact of the pandemic and how different socio-economic groups were affected, we assessed prevalence and severity of FI in a sample of 18,997 households across seven countries in South America. We employed the Food Insecurity Experience Scale developed by the FAO. Our r...
Our primary objective was to compile a comprehensive dataset on bird–window collisions throughout the Neotropical region, including both published and unpublished sources. On May 12, 2020, we extensively disseminated invitations to provide data via email and social media platforms. By providing a template worksheet, we required standardized information from collaborators to complete and register their data. To better understan...
Regional distribution of carbapenemase-producing Acinetobacter baumannii isolates in southern Spain (Andalusia)NARA Subscribed
Objectives This is the first study conducted in southern Spain to determine i) the population structure (PS) of carbapenem-resistant (CR) Acinetobacter baumannii isolates by multilocus sequencing typing (MLST) and core genome MLST (cgMLST) and ii) the association between the sequence type ST and the bla OXA-51 variant, capsule polysaccharide locus (KL) and lipooligosaccharide outer core locus (OCL) types. Methods Of 336 isolat...
Unearthing the soil‐borne microbiome of land plantsNARA Subscribed
Plant–soil biodiversity interactions are fundamental for the functioning of terrestrial ecosystems. Yet, the existence of a set of globally distributed topsoil microbial and small invertebrate organisms consistently associated with land plants (i.e., their consistent soil‐borne microbiome), together with the environmental preferences and functional capabilities of these organisms, remains unknown. We conducted a standardized f...