Publications by authors named "J C Valderrama"
Organic compounds with antibacterial and antiparasitic properties are gaining significance for biomedical applications. This study focuses on the solvent-free synthesis (green synthesis) of 1,4-naphthoquinone or 2,3-dichloro-1,4-naphthoquinone with different phenylamines using silica gel as an acid solid support. The study also includes in silico PASS predictions and the discovery of antibacterial and antiparasitic properties of phenylaminonaphthoquinone derivatives -, which can be further applied in drug discovery and development.
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- - The study evaluated a new device that monitors ischemic stroke patients by capturing EEG and ECG data to calculate a potential indicator of cerebral blood flow called the Electrocardiography Brain Perfusion index (EBPi).
- - Seventeen stroke patients used the device over nine hours, providing positive feedback on comfort and satisfaction, with a high overall device comfort rating of 92.5% and data capture efficiency of 95.8%.
- - No serious adverse events occurred during the study; the device did not hinder patients from receiving clinical care or performing daily tasks, suggesting its feasibility for clinical applications.
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- The study investigates the relationship between meniscal tears and associated articular surface damage, which is important for clinical outcomes, focusing on characterizing these lesions and their severity in patients undergoing meniscal surgery from 2017 to 2023.
- Researchers analyzed data from 758 surgeries, finding that a significant percentage of patients (35.22%) had chondral lesions, with degenerative meniscal tears more likely to lead to these injuries, especially in the lateral meniscus.
- Statistical methods, including chi-square tests and logistic regression, were employed to identify associations between patient characteristics, meniscal injury types, and the severity of articular surface damage.
The estimation of auditory evoked potentials requires deconvolution when the duration of the responses to be recovered exceeds the inter-stimulus interval. Based on least squares deconvolution, in this article we extend the procedure to the case of a multi-response convolutional model, that is, a model in which different categories of stimulus are expected to evoke different responses. The computational cost of the multi-response deconvolution significantly increases with the number of responses to be deconvolved, which restricts its applicability in practical situations.
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