Publications by authors named "M Abad Hernandez"

Antimicrobial resistance (AMR) in soil is an ancient phenomenon with widespread spatial presence in terrestrial ecosystems. However, the natural processes shaping the temporal dissemination of AMR in soils are not well understood. We aimed to determine whether, how, and why AMR varies with soil age in recently deglaciated pioneer and developing Arctic soils using a space-for-time approach.

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Carbon monoxide (CO) oxidising microorganisms are present in volcanic deposits throughout succession, with levels of vegetation and soil influencing the communities present. Carboxydovores are a subset of CO oxidisers that use CO as an energy source, which raises questions about the physiological and metabolic features that make them more competitive in harsh volcanic ecosystems. To address these questions, samples were taken from volcanic strata formed by eruptions from Calbuco Volcano (Chile) in 2015 (tephra) and 1917 (soil).

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Actinobacteria belonging to Mycobacterium and Rhodococcus genera are able to synthesize and intracellularly accumulate variable amounts of triacylglycerols (TAG) in the form of lipid droplets (LDs). The lipid storage capacity of LDs in cells is controlled by the balance between lipogenesis and lipolysis. The growth of LDs in bacterial cells may be directly promoted by TAG biosynthesis, whereas TAG degradation might result in the reduction of LD sizes and lipid storage capacity.

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Purpose: Fluid exchanges between perivascular spaces (PVS) and interstitium may contribute to the pathophysiology of small vessel disease (SVD). We aimed to analyze water diffusivity measures and their relationship with PVS and other SVD imaging markers.

Methods: We enrolled 50 consecutive patients with a recent small subcortical infarct.

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Motivation: LLMs like GPT-4, despite their advancements, often produce hallucinations and struggle with integrating external knowledge effectively. While Retrieval-Augmented Generation (RAG) attempts to address this by incorporating external information, it faces significant challenges such as context length limitations and imprecise vector similarity search. ESCARGOT aims to overcome these issues by combining LLMs with a dynamic Graph of Thoughts and biomedical knowledge graphs, improving output reliability and reducing hallucinations.

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