Author(s): Plante C; Datta Gupta S; Bandara T; Beland D; Blaser C; Camillo CA; Villa E; Dutton D; Fuller D; Hasselback J; Lix LM; Marouzi A; Muhajarine N; Notten G; Reimer B; Wolfson M; Young M; Concha DY; Neudorf C;

Background: Two decades of research have highlighted persistent income-related health inequities in Canada across municipal, provincial, and national levels. While there is broad consensus among researchers, advocates, and health professionals that social determinants are the primary drivers of h ...

Article GUID: 41313634

Author(s): Petrovic J; Mettler J; Böke BN; Rogers MA; Hamza CA; Bloom E; Di Genova L; Romano V; Heath NL;

Background: Mindfulness-based programming (MBP) is increasingly being implemented within university settings to support students' mental health, and it typically includes the instruction of formal mindfulness (FM) and informal mindfulness (IM) activities. However, recent evidence suggests tha ...

Article GUID: 41313154

Author(s): Wilansky J; Cao K;

This study investigated the effectiveness of municipal waste collection policies within England and Wales by examining how variations in local waste management strategies correlate with recycling rates. Using data from 297 council districts, we analysed the impact of different policy variables (frequency of residual waste and recycling collection, sorting ...

Article GUID: 41297338

Author(s): Pakseresht B; Schiffman Z; McLatchie S; Coulombe P; Soullane S; Imfeld A; Gélinas Y; Walsh D; Findlay B;

There is a great divide between the microbes active in natural environments and the organisms that may be grown in a laboratory setting. In this work we set out to cultivate representatives of the marine myxobacterial clade, a highly diverse, largely-uncultured group of Gram-negative bacteria bel ...

Article GUID: 41297029

Author(s): Zhang Y; Lahmiri S;

Crude oil price forecasting is an important task in energy management and storage. In this regard, deep learning has been applied in the literature to generate accurate forecasts. The main purpose of this study is to design an ensemble prediction system based on various deep learning systems. Specifically, in the first stage of our proposed ensemble syste ...

Article GUID: 41294965

Author(s): Lahmiri S; Tadj C; Gargour C;

Voice analysis and classification for biomedical diagnosis purpose is receiving a growing attention to assist physicians in the decision-making process in clinical milieu. In this study, we develop and test deep feedforward neural networks (DFFNN) to distinguish between healthy and unhealthy newborns. The DFFNN are trained with acoustic features measured ...

Article GUID: 41294952

Author(s): Bayoumi I; Mcfadden K; Valkanas H; Tu K; Kalia S; Chen T; Christie CD; Rourke J; Rourke L; Greiver M; Leduc D; Li P;

Background: Well child visits (WCV) are fundamental to preventive primary care. We examined trends in WCV attendance during the COVID-19 pandemic and characterised variation by patient and provider characteristics. Methods: Deidentified electronic medical records from two academic practice-based ...

Article GUID: 41290264

Author(s): Rezaei-Moghaddam K; Fatemi M; Ghafouri M; Golkarfard M;

Entrepreneurship is a key driver of empowerment, particularly in rural areas, as it creates opportunities for self-sufficiency and sustainable development. It enables individuals to overcome barriers, build capacity, and engage in participatory activities that foster economic and social growth. This study aimed to analyze entrepreneurship and the empowerm ...

Article GUID: 41290906

Author(s): Fuoco G; Mandl GA; De Mesa C; Capobianco JA; Naccache R;

Efficient delivery of therapeutics remains a significant challenge, often hindered by solubility barriers encountered within aqueous biological environments. Carbon dots (CDs) offer a promising solution for drug delivery due to their aqueous dispersibility, generally low cytotoxicity and surfaces rich in functional groups which can enable facile conjugati ...

Article GUID: 41288467

Author(s): Anna Sheftel

This article argues for social class and socioeconomic inequality as neglected forms of analysis when studying the memories and narratives of Holocaust survivors. Based primarily in oral histories conducted with Holocaust survivors in Montreal, this argument is elaborated in two ways. First, the author demonstrates stories that have been left out of Holoc ...

Article GUID: 41281595

Author(s): Hamiditabar Z; Lee JS; Gulick PJ;

This study investigated the role of secreted peptides and receptors in root hair development. The secreted peptides EPF1, EPF2, EPFL4, EPFL5, EPFL6, and EPFL9 and their putative receptors ERECTA (ER), ERECTA-LIKE1 (ERL1), ERL2, and TMM were found to mediate the development of the root hairs in Arabidopsis under control conditions and in response to nitrat ...

Article GUID: 41280503