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A review on indoor airborne transmission of COVID-19- modelling and mitigation approaches

Author(s): Rayegan S; Shu C; Berquist J; Jeon J; Zhou LG; Wang LL; Mbareche H; Tardif P; Ge H;

In the past few years, significant efforts have been made to investigate the transmission of COVID-19. This paper provides a review of the COVID-19 airborne transmission modeling and mitigation strategies. The simulation models here are classified into airborne transmission infectious risk models and numerical approaches for spatiotemporal airborne transm ...

Article GUID: 40478135


Trilingual families language strategies: potential predictors and effect on trilingual exposure

Author(s): Quirk E; Hadeed N; Byers-Heinlein K;

Family language strategies are approaches that parents adopt for language use with their multilingual children. In bilingual contexts, these strategies influence children's language exposure and development (Macleod et al., 2022). In the more complex context of trilingualism, how families settle on strategies and their relationship with exposure may d ...

Article GUID: 40443954


Distributed adaptive sliding mode control with deep recurrent neural network for cooperative robotic system in automated fiber placement

Author(s): Zhu N; Xie WF;

In this article, a distributed control strategy using an adaptive sliding mode controller (ASMC) is proposed for a 13-degree-of-freedom (13-DOF) cooperative robotic system in the field of automated fiber placement (AFP). A distributed control structure with event-triggered mechanism is developed to guarantee the desired cooperation performance and reduce ...

Article GUID: 40436653


Emerging Image-Guided Navigation Techniques for Cardiovascular Interventions: A Scoping Review

Author(s): Roshanfar M; Salimi M; Jang SJ; Sinusas AJ; Kim J; Mosadegh B;

Background: Image-guided navigation has revolutionized precision cardiac interventions, yet current technologies face critical limitations in real-time guidance and procedural accuracy. Method: Here, we comprehensively evaluate state-of-the-art imaging modalities, from conventional fluoroscopy to emerging hybrid systems, analyzing their applications acros ...

Article GUID: 40428106


Repurposing Sigma-1 Receptor-Targeting Drugs for Therapeutic Advances in Neurodegenerative Disorders

Author(s): Eskandari K; Bélanger SM; Lachance V; Kourrich S;

Neurodegenerative disorders, such as Alzheimer's, Parkinson's, and Huntington's disease, due to their multifaced and complicated nature, remain uncurable and impose substantial financial and human burdens on society. Therefore, developing new innovative therapeutic strategies is vital. In this context, drug repurposing has emerged as a promisi ...

Article GUID: 40430519


Sound degradation type differentially affects neural indicators of cognitive workload and speech tracking

Author(s): Gagné N; Greenlaw KM; Coffey EBJ;

Hearing-in-noise (HIN) is a challenging task that is essential to human functioning in social, vocational, and educational contexts. Successful speech perception in noisy settings is thought to rely in part on the brain's ability to enhance neural representations of attended speech. In everyday HIN situations, important features of speech (i.e., pitch ...

Article GUID: 40412301


The enterobactin biosynthetic intermediate 2,3-dihydroxybenzoic acid is a competitive inhibitor of the Escherichia coli isochorismatase EntB

Author(s): Bin X; Pawelek PD;

The Escherichia coli enterobactin biosynthetic protein EntB is a bifunctional enzyme that catalyzes hydrolysis of isochorismate via its N-terminal isochorismatase (IC) domain, and then transfers phosphopantetheinylated 2,3-DHB to EntF via the EntB C-terminal aryl carrier protein (ArCP) domain. Here we used a fluorescence anisotropy binding assay to invest ...

Article GUID: 40400396


Exosome Innovations in Ophthalmology and Sjögren s Syndrome

Author(s): Wu KY; Dave A; Nirwal GK; Giunta M; Nguyen VDH; Tran SD;

Exosomes, a subset of extracellular vesicles, have emerged as potential therapeutic agents in ophthalmology due to their ability to modulate immune responses, facilitate cellular communication, and promote tissue repair. This chapter explores the potential applications of exosome-based therapies in corneal and anterior segment disorders, retinal diseases, ...

Article GUID: 40360847


Activating Group II Metabotropic Glutamate Receptors in the Basolateral Amygdala Inhibits Increases in Reward Seeking Triggered by Discriminative Stimuli in Rats

Author(s): LeCocq MR; Mainville-Berthiaume A; Laplante I; Samaha AN;

Background: Reward-associated cues guide reward-seeking behaviours. These cues include conditioned stimuli (CSs), which occur following seeking actions and predict reward delivery, and discriminative stimuli (DSs), which occur response-independently and signal that a seeking action will produce reward. Metabotropic group II glutamate (mGlu2/3) receptors i ...

Article GUID: 40341317


Distinguishing Persistent Versus Episodic Clusters of At-Risk Respondents on the Problem Gambling Severity Index

Author(s): Murch WS; Scheurich R; Monson E; French M; Kairouz S;

The Problem Gambling Severity Index (PGSI) is a popular tool for assessing past-year problems related to gambling. Multiple categorization schemes have been proposed, with scores 3-7 variously interpreted as reflecting a 'moderate' degree of problems. Crucially, it is possible to land in this Moderate-risk category by reporting one or two persiste ...

Article GUID: 40338426


Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques

Author(s): Islam S; Rjoub G; Elmekki H; Bentahar J; Pedrycz W; Cohen R;

This survey paper explores the transformative role of Machine Learning (ML) and Artificial Intelligence (AI) in Cardiopulmonary Resuscitation (CPR), marking a paradigm shift from conventional, manually driven resuscitation practices to intelligent, data-driven interventions. It examines the evolution of CPR through the lens of predictive modeling, AI-enha ...

Article GUID: 40336660


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