Author(s): Tremblay SA; Alasmar Z; Pirhadi A; Carbonell F; Iturria-Medina Y; Gauthier CJ; Steele CJ;
Multivariate approaches have recently gained in popularity to address the physiological unspecificity of neuroimaging metrics and to better characterize the complexity of biological processes underlying behavior. However, commonly used approaches are biased by the intrinsic associations between variables, or they are computationally expensive and may be m ...
Article GUID: 38463982
Author(s): Toby Long
CONCLUSIONS: The baseline presence of ACEs among this Abu Dhabi sample, along with the associated risks of physical and mental health morbidities, and risk-taking behaviors play a significant role in understanding the extent, nature, and associated sequalae of ACEs in this population; providing nuanced context for early intervention. Our findings will inf ...
Article GUID: 38484508
Author(s): Rodgers TFM; Spraakman S; Wang Y; Johannessen C; Scholes RC; Giang A;
Stormwater rapidly moves trace organic contaminants (TrOCs) from the built environment to the aquatic environment. Bioretention cells reduce loadings of some TrOCs, but they struggle with hydrophilic compounds. Herein, we assessed the potential to enhance TrOC removal via changes in bioretention system design by simulating the fate of seven high-priority ...
Article GUID: 38483320
Author(s): Rodriguez Buritica JM; Eppinger B; Heekeren HR; Crone EA; van Duijvenvoorde ACK;
Observational learning is essential for the acquisition of new behavior in educational practices and daily life and serves as an important mechanism for human cognitive and social-emotional development. However, we know little about its underlying neurocomputational mechanisms from a developmental perspective. In this study we used model-based fMRI to inv ...
Article GUID: 38480747
Author(s): Bruno Gagnon
CONCLUSIONS: This exploratory study identified three distinct pathways of inflammation, or lack thereof, characterizing different CACS phenotypes.
Article GUID: 38481033
Author(s): Geoffroy MC; Chadi N; Bouchard S; Fuoco J; Chartrand E; Loose T; Sciola A; Boruff JT; Iyer SN; Sun Y; Gouin JP; Côté SM; Thombs BD;
Objectives: This systematic review and meta-analysis aims to describe Canadian youth mental health during the COVID-19 pandemic, focusing on changes in anxiety and depressive symptoms and suicidality. Methods: We searched four databases up to February 2023 for longitudinal or repeated cross-sect ...
Article GUID: 38478216
Author(s): Brusseau AJP; Feyten LEA; Crane AL; Brown GE;
No abstract available
Article GUID: 38476138
Author(s): Zhang Y; Ogurtsov S; Vasilev V; Kishk AA; Caratelli D;
We review dielectric resonator antenna (DRA) designs. This review examines recent advancements across several categories, specifically focusing on their applicability in array configurations for millimeter-wave (mmW) bands, particularly in the context of 5G and beyond 5G applications. Notably, the off-chip DRA designs, including in-substrate and compact D ...
Article GUID: 38474958
Author(s): Fereshteh Mehrabi
No abstract available
Article GUID: 38475729
Author(s): Sylvanna M Vargas
The current study used the McGill Illness Narrative Interview (MINI) to explore patients' (n = 6) and caregivers' (n = 3) narratives about how they identified and sought care for psychosis. Participants were recruited from an outpatient clinic at the Hospital Psiquiátrico Dr. Rafael Serrano, a public psychiatric hospital in Puebla, Mexico. All par ...
Article GUID: 38470500
Author(s): Raheja Y; Singh V; Sharma G; Tsang A; Chadha BS;
The present study reports a highly thermostable ß-glucosidase (GH3) from Rasamsonia emersonii that was heterologously expressed in Pichia pastoris. Extracellular ß-glucosidase was purified to homogeneity using single step affinity chromatography with molecular weight of ~ 110 kDa. Intriguingly, the purified enzyme displayed high tolerance to inhibitors ma ...
Article GUID: 38470501
Author(s): Lahmiri S; Boukadoum M; Di Ieva A;
Several natural phenomena can be described by studying their statistical scaling patterns, hence leading to simple geometrical interpretation. In this regard, fractal geometry is a powerful tool to describe the irregular or fragmented shape of natural features, using spatial or time-domain statistical scaling laws (power-law behavior) to characterize real ...
Article GUID: 38468046
