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Global antibiotic hotspots and risks: A One Health assessment

Author(s): Yan B; Huang F; Ying J; Zhou D; Norouzi S; Zhang X; Wang B; Liu F;

Antibiotics are increasingly prevalent in global environments, driving antimicrobial resistance and disrupting microbial cycling. These impacts pose threats to human, animal, and environmental health. Therefore, addressing this emergent issue necessitates a One Health framework that integrates these interconnected dimensions. Here we systematically review ...

Article GUID: 40469481


Adaptive finite-time synchronized control of multi-robotic fiber placement system with model uncertainties and disturbances

Author(s): Zhang R; Wang Y; Xie W; Li P; Tan H; Jiang Y;

The use of multiple robots to manufacture composite components represents a critical development direction for fiber placement systems (FPSs). In multi-robotic fiber placement systems (MRFPSs) with heterogeneous mechanical structures, robots collaborate to perform fiber placement tasks. Consequently, robot synchronization emerges as a primary factor in de ...

Article GUID: 40461302


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


Exploring interaction paradigms for segmenting medical images in virtual reality

Author(s): Jones Z; Drouin S; Kersten-Oertel M;

Purpose: Virtual reality (VR) can offer immersive platforms for segmenting complex medical images to facilitate a better understanding of anatomical structures for training, diagnosis, surgical planning, and treatment evaluation. These applications rely on user interaction within the VR environment to manipulate and interpret medical data. However, the op ...

Article GUID: 40402355


Development and validation of the multidimensional Fear of Depression Recurrence Questionnaire (FoDRQ)

Author(s): Gumuchian ST; Boyle A; Kennedy G; Wong SF; Ellenbogen MA;

Despite high recurrence rates in major depressive disorder (MDD), little is known about the factors influencing recurrence. Understanding the changes that occur between major depressive episodes (MDEs) is imperative. It is possible that being fearful of experiencing another MDE may lead to cognitive and behavioural changes that increase MDD recurrence ris ...

Article GUID: 40391691


Biopsychosocial risk factors for pain in early phases of pediatric cancer treatment

Author(s): Klages KL; James RN; Kain ZN; Phipps S; Alberts NM; Fortier MA;

Introduction: Cancer pain remains a significant burden among children with cancer, and many patients experience pain starting around the time of diagnosis and throughout the course of treatment. A biopsychosocial treatment approach has been recommended to improve pain management in this population; however, specific psychosocial factors that contribute to ...

Article GUID: 40365620


Efficacy of cognitive behavioral therapy for insomnia and lemborexant medication for different subtypes of chronic insomnia: study protocol for a randomized controlled trial

Author(s): Chen SJ; Ivers H; Dang-Vu TT; Shapiro CM; Carney CE; Robillard R; Morin CM;

Introduction: Insomnia is a prevalent yet under-characterized disorder, particularly regarding the heterogeneity of patients and their associated responses to different treatment modalities. This often leads to suboptimal management. There is a need to consider personalized approaches tailored to the characteristics of insomnia phenotypes with regard to o ...

Article GUID: 40346496


Topography of Functional Organization of Beat Perception in Human Premotor Cortex: Causal Evidence From a Transcranial Magnetic Stimulation (TMS) Study

Author(s): Lazzari G; Costantini G; La Rocca S; Massironi A; Cattaneo L; Penhune V; Lega C;

Humans can flexibly extract a regular beat from complex rhythmic auditory patterns, as often occurs in music. Contemporary models of beat perception suggest that the premotor cortex (PMC) and the supplementary motor area (SMA) are integral to this process. However, how these motor planning regions actively contribute to beat perception, along with any pot ...

Article GUID: 40344601


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


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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