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Season and city shape urban bioaerosol composition beyond vegetation and socioeconomic gradients

Author(s): Poirier S; Rondeau-Leclaire J; Faticov M; Roy A; Lajeunesse G; Lucier JF; Tardif S; Kembel SW; Ziter C; Laprise C; Paquette A; Girard C; Laforest-Lapointe I;

Urban vegetation varies with socio-economic gradients, as lower-income neighborhoods often host sparser and less diverse green spaces. This disparity may affect respiratory health by influencing exposure to bioaerosols. Understanding the characteristics of this aerobiome could help anticipate ris ...

Article GUID: 41785576


Cardiorespiratory fitness in relation to cerebral vascular and metabolic health in older adults with coronary artery disease

Author(s): Sanami S; Tremblay SA; Potvin-Jutras Z; Rezaei A; Sabra D; Gagnon C; Intzandt B; Mainville-Berthiaume A; Wright L; Gayda M; Iglesies-Grau J; Nigam A; Bherer L; Gauthier CJ;

This study investigated whether higher cardiorespiratory fitness (VO2peak) is associated with better cerebral vascular and metabolic health-specifically cerebral blood flow (CBF), cerebrovascular reactivity (CVR), cerebral metabolic rate of oxygen (CMRO2), and oxygen extraction fraction (OEF) acr ...

Article GUID: 41680492


Editorial: Data-driven vaccine design for microbial-associated diseases

Author(s): Selvaraj G; Kaliamurthi S; Wei D;

Article GUID: 41624882


Impact of COVID-19 on incidence and trends of adverse events among hospitalised patients in Calgary, Canada: a retrospective chart review study

Author(s): Wu G; Eastwood CA; Cheligeer C; Southern DA; Zeng Y; Ghali WA; Bakal JA; Boussat B; Flemons W; Forster A; Xu Y; Quan H;

Background: While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may have changed its course. This study aimed to evaluate adverse event incidence rates and trends during the pandemic and analyse differences in patient outcomes. Methods: This ...

Article GUID: 41592994


Energy Measures as Biomarkers of SARS-CoV-2 Variants and Receptors

Author(s): Ghannoum Al Chawaf K; Lahmiri S;

The COVID-19 outbreak has made it evident that the nature and behavior of SARS-CoV-2 requires constant research and surveillance, owing to the high mutation rates that lead to variants. This work focuses on the statistical analysis of energy measures as biomarkers of SARS-CoV-2. The main purpose of this study is to determine which energy measure can diffe ...

Article GUID: 41596038


Divergent creativity in humans and large language models

Author(s): Bellemare-Pepin A; Lespinasse F; Thölke P; Harel Y; Mathewson K; Olson JA; Bengio Y; Jerbi K;

The recent surge of Large Language Models (LLMs) has led to claims that they are approaching a level of creativity akin to human capabilities. This idea has sparked a blend of excitement and apprehension. However, a critical piece that has been missing in this discourse is a systematic evaluation ...

Article GUID: 41565675


Statistical shape model-based estimation of registration error in computer-assisted total knee arthroplasty

Author(s): Gheflati B; Mirzaei M; Zuhars J; Rottoo S; Rivaz H;

Purpose: Computer-assisted surgical navigation systems have been developed to improve the precision of total knee arthroplasty (TKA) by providing real-time guidance on implant alignment relative to patient anatomy. However, surface registration remains a key source of error that can propagate through the surgical workflow. This study investigates how pati ...

Article GUID: 41495592


Towards smart PFAS management: Integrating artificial intelligence in water and wastewater systems

Author(s): Yaghoobian S; An J; Jeong DW; Hwang JH;

Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into Per- and polyfluoroalkyl substances (PFAS) research; however, the field remains fragmented with substantial variation in modeling objectives. This review provides one of the most comprehensive and detailed syntheses to date of AI/ML methods across the PFAS contaminatio ...

Article GUID: 41483514


Dyadic Associations Between Eating Behaviors and Body Mass Index in Couples with a Member Living with Overweight: A Longitudinal Study

Author(s): Hollett KB; Morin AJS; Carrese-Chacra E; Cohen TR; Carbonneau N; Berthiaume MM; Felice E; Gouin JP;

Socioecological models of health view romantic relationships as micro-social systems in which spouses influence one another's health-related thoughts, feelings, and behaviors. Although prior work suggests spousal interdependence in eating behaviors, the degree of interdependence may vary as a ...

Article GUID: 41448461


Improved electrical performance of PDMS and PEDOT: PSS composites with MWCNT and AgNP particles

Author(s): Shafagh SH; Deen I; Packirisamy M;

The fabrication of conductive polymer composites (CPCs) using polydimethylsiloxane (PDMS) and poly(3,4-ethylene dioxythiophene): poly(4-styrene-sulfonate) (PEDOT: PSS) as a matrix with multi-walled carbon nanotubes (MWCNTs) and silver nanoparticles (AgNPs) as fillers was investigated to determine their potential for use in applications such as electromagn ...

Article GUID: 41424586


Attention-Fusion-Based Two-Stream Vision Transformer for Heart Sound Classification

Author(s): Ranipa K; Zhu WP; Swamy MNS;

Vision Transformers (ViTs), inspired by their success in natural language processing, have recently gained attention for heart sound classification (HSC). However, most of the existing studies on HSC rely on single-stream architectures, overlooking the advantages of multi-resolution features. While multi-stream architectures employing early or late fusion ...

Article GUID: 41155032


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