Semi-Automatic Refinement of Myocardial Segmentations for Better LVNC Detection.

Accurate segmentation of the left ventricular myocardium in cardiac MRI is essential for developing reliable deep learning models to diagnose left ventricular non-compaction cardiomyopathy (LVNC). This work focuses on improving the segmentation database used to train these models, enhancing the quality of myocardial segmentation for more precise model training. We present a semi-automatic framework that refines segmentations through three fundamental approaches: (1) combining neural network outputs with expert-driven corrections, (2) implementing a blob-selection method to correct segmentation errors and neural network hallucinations, and (3) employing a cross-validation process using the baseline U-Net model.

Effects of organic mulching and regulated deficit irrigation on crop water status, soil and yield features in an orange orchard under Mediterranean climate.

The adoption of soil and water conservation measures (SWCM) is essential for improving the use of natural resources and making the agro-systems more resilient to climate change. In this context, a three-years trial was carried-out in an orange orchard characterized by different soil management (SM, i.e.

Valorizing meat processing industry brines to produce added-value organic acids.

During the production of certain meat processed products, such as cured ham and cold meat, large amounts of wastewater with high organic matter and salt content are generated. In contrast with the conventional management processes, which involves high energy consumption, this study proposes the valorisation of such meat brines through anaerobic fermentation to produce added-value organic acids. Several brines coming from different meat processing processes were tested to evaluate their acidification potential as well as to establish the main operation parameters in the fermenter: pH and the substrate-to-inoculum ratio.

Prevalence of depression and anxiety in Colombia: What happened during Covid-19 pandemic?

The COVID-19 pandemic has impacted the well-being of millions of people around the globe. The evidence has shown that during the COVID-19 pandemic, the mental health of the population was affected, which means that there is an extra demand to implement different actions to mitigate and treat mental health disorders result of the pandemic. According to the literature it was expected that the prevalence of mental health disorders, such as anxiety and depression increased by 25 per cent worldwide, and Colombia was not the exception.