Probiotics and Prebiotics Intervention in Respiratory and Digestive Infections Linked to Covid-19.

Probiotics and prebiotics have been suggested as natural agents against viral infections and dysbiosis and may encourage clinical applications. This review aims to analyze the main and recent advances related to viral infections such as Covid-19 and its gastrointestinal complications, antiviral immunity generated and possible preventive role that probiotics and/or prebiotics can play in controlling and promoting antiviral immunity. The literature search was performed through a critical analysis of relevant publications reported in PubMed and Scopus databases on clinical trials and assays conducted in vitro on colon cells and in vivo on mice.

Biocomposites from poly(3-hydroxybutyrate-co-3-hydroxyvalerate) and lignocellulosic fillers: Processes stored in data warehouse structured by an ontology.

Due to the rising amount of plastic waste generated each year, multiple questions are emerging about their harmful long-term effects on the environment, the eco-systems and human health. One possible strategy to mitigate these issues is to substitute conventional plastics by materials fully biodegradable in natural conditions, such as poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV). In order to decrease the overall cost and environmental impact of PHBV-based materials while modulating their technical performance, PHBV can be combined with lignocellulosic fillers.

Epileptic seizure detection: a nonlinear viewpoint.

This study concerns the detection of epileptic seizures from electroencephalogram (EEG) data using computational methods. Using short sliding time windows, a set of features is computed from the data. The feature set includes time domain, frequency domain and nonlinear features.

Analysis of the imputed female urinary incontinence data for the evaluation of expert system parameters.

We evaluated parameters for an expert system which will be designed to aid the differential diagnosis of female urinary incontinence by using knowledge discovered from data. To allow the statistical analysis, we applied means, regression and Expectation-Maximization (EM) imputation methods to fill in missing values. In addition, complete-case analysis was performed.

Usefulness of imputation for the analysis of incomplete otoneurologic data.

The usefulness of imputation in the treatment of missing values of an otoneurologic database for the discriminant analysis was evaluated on the basis of the agreement of imputed values and the analysis results. The data consisted of six patient groups with vertigo (N=564). There were 38 variables and 11% of the data was missing.