Publications by authors named "L Manzano Espinosa"

is a halophytic pantropical invasive fern growing in mangroves and swamps. Its association with arbuscular mycorrhizal fungi (AMF) has been reported in Asia. AMF and their symbiosis (AM) commonly colonise the absorption organs of terrestrial plants worldwide.

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We are continuously exposed to what others think and feel about content online. How do others' evaluations shared in this medium influence our own beliefs and emotional responses? In two pre-registered studies, we investigated the social transmission of threat and safety evaluations in a paradigm that mimicked online social media platforms. In Study 1 (N = 103), participants viewed images and indicated how distressed they made them feel.

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Article Synopsis
  • Pathogenic variants in the SLC34A1 and SLC34A3 genes, responsible for sodium-phosphate transport, lead to rare phosphate wasting conditions, primarily in children, with various clinical presentations and outcomes.
  • A study analyzed data from 113 patients across 90 families, revealing distinct symptoms: SLC34A1 carriers mostly show issues in infancy, while SLC34A3 carriers experience symptoms into childhood and adulthood, including a significantly higher prevalence of chronic kidney disease in adulthood.
  • Biochemical markers were similar for both groups, indicating some common underlying mechanisms, and phosphate treatment yielded partial improvements in certain enzyme levels but raised parathyroid hormone levels, suggesting a complex interaction between treatments and kidney function.
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Hydroxychloroquine (HCQ) is widely used in the treatment of a variety of autoimmune diseases. However, the mechanisms responsible for the immunomodulatory properties of HCQ in T cells remain unclear. Here we used single-cell RNA-sequencing to examine the effect of HCQ on T cells following in vitro stimulation.

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Online public health discourse is becoming more and more important in shaping public health dynamics. Large Language Models (LLMs) offer a scalable solution for analysing the vast amounts of unstructured text found on online platforms. Here, we explore the effectiveness of Large Language Models (LLMs), including GPT models and open-source alternatives, for extracting public stances towards vaccination from social media posts.

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