Correlates of Impaired Timing Abilities in Schizophrenia: A Systematic Review.

This review aimed at summarizing the literature evidence on clinical, cognitive, and neurobiological correlates of impaired timing abilities in schizophrenia (SCZ). Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a systematic literature search was conducted in PubMed, EMBASE, and PsycInfo by looking at correlates between timing abilities and either symptom severity, cognition, and neurobiological data (imaging and electroencephalography) in individuals with SCZ, without restrictions on study design. A total of 45 articles were selected: associations were identified between impaired timing performance and positive, negative, and disorganization symptoms, as well as with executive functioning, working memory, and attention.

Obsessive-Compulsive Symptoms in the General Population Under Stressful Conditions: Lessons Learned from the COVID-19 Pandemic.

: The COVID-19 pandemic had a negative impact on mental health in the general population. The fear, stress, and uncertainty surrounding that traumatic period could have contributed to the aggravation or possible new onset of obsessive-compulsive symptoms. The COvid Mental hEalth Trial (COMET) is a nationwide project organized by the University of Campania "Luigi Vanvitelli", designed as an observational investigation that aimed to gather data from a representative sample of the Italian general population.

Comparative Insights into Photosynthetic, Biochemical, and Ultrastructural Mechanisms in Hibiscus and Pelargonium Plants.

Understanding photosynthetic mechanisms in different plant species is crucial for advancing agricultural productivity and ecological restoration. This study presents a detailed physiological and ultrastructural comparison of photosynthetic mechanisms between Hibiscus ( L.) and Pelargonium ( (L.

Fluorescence and Hyperspectral Sensors for Nondestructive Analysis and Prediction of Biophysical Compounds in the Green and Purple Leaves of Plants.

The application of non-imaging hyperspectral sensors has significantly enhanced the study of leaf optical properties across different plant species. In this study, chlorophyll fluorescence (ChlF) and hyperspectral non-imaging sensors using ultraviolet-visible-near-infrared shortwave infrared (UV-VIS-NIR-SWIR) bands were used to evaluate leaf biophysical parameters. For analyses, principal component analysis (PCA) and partial least squares regression (PLSR) were used to predict eight structural and ultrastructural (biophysical) traits in green and purple leaves.