Visceral fat as the main tomographic risk factor for COVID-19 mortality.

Background: Obesity is a risk factor for COVID-19 mortality; a BMI >35 increases the risk of death up to 12-fold; two previous studies have examined the association between visceral fat quantified by tomography and the risk of severe COVID-19, but not its association with mortality.

Objective: Examine whether tomographic findings differentiated data from patients who died of COVID-19 pneumonia from those who survived in a cohort of patients at a tertiary hospital.

Methods: This was a case-control study (1:1) in which we recruited data from patients at a tertiary care hospital in Mexico.

Comparative analysis of actual evapotranspiration values estimated by METRIC model using LOCAL data and EEFlux for an irrigated area in Northern Sinaloa, Mexico.

Landsat images combined with the METRIC model have been used in applications such as EEFlux to estimate actual evapotranspiration ( ) in irrigated areas, with uncertainty as to whether the results are sufficiently accurate at local scales. This work compares temporally and spatially estimates using Landsat imagery and the METRIC model with LOCAL measured weather data and EEFlux for an irrigated area in northern Sinaloa, Mexico, from 1995 to 2018. A regression analysis and error metrics such as coefficient of determination (R), mean absolute error (MAE), root mean square error (RMSE) and slope were used to compare both models.

Traditional and new trend strategies to enhance pigment contents in microalgae.

Microalgae are a source of a wide variety of commodities, including particularly valuable pigments. The typical pigments present in microalgae are the chlorophylls, carotenoids, and phycobiliproteins. However, other types of pigments, of the family of water-soluble polyphenols, usually encountered in terrestrial plants, have been recently reported in microalgae.

Follow-up of telemedicine mental health interventions amid COVID-19 pandemic.

The initiation of the program Mental Health Support Program for Coronavirus Infection addressed the increased demand for mental health services in the province of Salamanca, resulting from the COVID-19 pandemic. The psychiatry service provided care for COVID-19 patients, their families, and healthcare workers who treated them, as these groups were identified as being at risk. This study aims to describe the assistance provided, including personnel and resources utilized, types of interventions carried out, and to assess the demand for mental health care and predominant symptoms and emotions experienced by patients.

Astrocytic Calcium Signaling Toolkit (astroCaST): efficient analysis of dynamic astrocytic calcium events.

The Astrocytic Calcium Signaling Toolkit (astroCaST) is a novel solution to a longstanding challenge in neuroscience research: the specialized analysis of astrocytic calcium events within fluorescence time-series imaging. Distinct from existing neuron-centric tools, astroCaST is adept at detecting and clustering astrocytic calcium events based on their unique spatiotemporal characteristics, thus filling a gap in astrocytic research methodologies. This toolkit not only facilitates the detection of such events but also extends its utility to provide comprehensive end-to-end analysis.