Publications by authors named "H GARCES"

Paracoccidioidomycosis is an infection with the potential for environmental dissemination, especially in regions of hot and humid climate, where human cases have been recorded in the Southwestern Amazon of Brazil, specifically in the state of Acre. Despite studies providing information about the presence of these fungi in soil and animal samples, such as armadillos, further investigations are still needed to determine the epidemiological distribution of the genus Paracoccidioides. The aim of this study was to detect the occurrence of Paracoccidioides fungi in the Southwestern Amazon.

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Article Synopsis
  • Paracoccidioidomycosis (PCM) is the most common systemic fungal infection in Latin America, previously thought to be caused by a single species, but has since been updated to include multiple cryptic species, including S1, PS2, PS3, and PS4.
  • Researchers at the Hospital of Medical School of Botucatu-UNESP aimed to analyze biopsy samples from PCM patients to understand the distribution of these species in the Botucatu region, an area known for its PCM prevalence.
  • Using molecular techniques like DNA extraction and PCR, they found that 100% of the positive samples corresponded to the S1 species, highlighting its dominance in the São Paulo State region.
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Trichosporonosis corresponds to a systemic fungal disease that leads to high mortality rates and is frequently associated with medical devices. It affects immunosuppressed patients in particular and is strongly linked to acquired human immunodeficiency, organ and tissue transplants, and malignant hematologic diseases such as leukemia and lymphomas. Trichosporon infections have been increasingly reported worldwide; however, little information is available either about their characteristics or the causative microorganism.

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  • The increasing need for information on building power consumption highlights the importance of low-cost data collection, storage, and visualization methods, as current solutions are often too expensive for small and medium-sized buildings.
  • The proposed IoT platform features a four-layer architecture for remote monitoring and control, facilitating data collection and visualization from various sensor nodes in different building environments.
  • This work serves as a guide for implementing smart buildings using cost-effective, open-source solutions to enhance automation, reduce energy costs, and improve user comfort.
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  • There is a need to enhance thermal comfort and air quality in hospitals to improve the well-being and performance of both staff and patients.
  • The article introduces a system for monitoring these conditions using an Internet of Things (IoT) platform with low-cost sensors that track important variables like humidity, temperature, and CO2 levels.
  • It presents a multidimensional data model that improves query flexibility and reduces the volume of data, leading to faster response times and better decision-making in hospital operations.
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