InnovatePeru [382-PNICP-PIBA-2014 and 297INNOVATEPERU-EC-2016 to P.M.]; Fondo Nacional de Desarrollo Cientifico, Tecnologico y de Innovacion Tecnologica [154-2017-Fondecyt and 0362019-Fondecyt-BM-INC.INV to P.M.]; FIRB Futuro in Ricerca [RBFR130VS5 001 to A.F.]; Italian Ministero dell'Istruzione, dell'Universita e della Ricerca (to A.F.); Part of the work on structural dynamics of the ribosome was supported by Russian Science Foundation [17-1401416 to A.L.K.]. Funding for open access: Universidad Peruana de Ciencias Aplicadas (Exp-03).

ackground: Depression and anxiety are two of the most prevalent and disabling mental disorders worldwide, both in the general population and in outpatient clinical settings. Objective: This study aimed to analyze the psychometric properties of the Patient Health Questionnaire-4 (PHQ-4) based on network analysis metrics. Methods: A total of 911 Paraguayans (23.71% women and 76.29% men; mean age 31.25 years, SD = 10.63), selected by non-probabilistic convenience sampling, participated in the study. Network analysis was used to evaluate the internal structure, reliability, and measurement invariance between men and women. Results: The results revealed that the PHQ-4 is a unidimensional measure through Exploratory Graph Analysis (EGA). Reliability, through structural consistency, identified that 100% of the time, only a single dimension was obtained, and all items remained stable, as they we...

Paenibacillus polymyxa, a Gram-positive bacterium commonly found in soil and plant roots, plays an important role in the environment due to its nitrogen-fixing ability and is renowned for producing antibiotics like polymyxin. In this study, we present a robust framework for investigating the evolutionary and taxonomic connections of strains belonging to P. polymyxa available at the National Center for Biotechnology Information, as well as five new additional strains isolated at the University of Camerino (Italy), through pangenome analysis. These strains can produce secondary metabolites active against Staphylococcus aureus and Klebsiella pneumoniae. Employing techniques such as digital DNA-DNA hybridization (dDDH), average nucleotide identity (ANI) estimation, OrthoFinder, and ribosomal multilocus sequence typing, we consistently divided these P. polymyxa strains into four clusters, whi...