Author(s): Rehan S; Phillips NA;

Psychosocial function is associated with cognitive performance cross-sectionally and cognitive decline over time. Using data from the COMPASS-ND study, we examined associations between psychosocial and cognitive function in 126 individuals with mild cognitive impairment, an at-risk group for Alzheimer's disease (AD). Psychosocial function was measured ...

Article GUID: 39773214

Author(s): Gao Z; Chen X; Xu J; Yu R; Zhang H; Yang J;

Drowsy driving is a leading cause of commercial vehicle traffic crashes. The trend is to train fatigue detection models using deep neural networks on driver video data, but challenges remain in coarse and incomplete high-level feature extraction and network architecture optimization. This paper pioneers the use of the CLIP (Contrastive Language-Image Pre- ...

Article GUID: 39771685

Author(s): Ismaylova E; Nemoda Z; Booij L;

Introduction: Eating disorders are characterized by maladaptive eating behaviors and preoccupations around body shape, weight, and eating. The serotonin system has been among the most widely studied neurobiological factors in relation to eating disorders. Recent research also highlighted the role of oxytocin. Aims and methods: This article aims to review ...

Article GUID: 39745000

Author(s): Geoffrey Dover

No abstract available

Article GUID: 39697557

Author(s): Ceniza-Bordallo G; Zimmermann E; Vigouroux M; Niburski K; Fortin M; Ouellet J; Cata JP; Ingelmo PM;

Space flights can produce physiological changes in the spine, leading to the development of acute and chronic pain in passengers. However, there is a lack of comprehensive literature exploring physiological spine changes and acute and chronic pain in space passengers (astronauts and animals). The ...

Article GUID: 39660277

Author(s): Sandstrom A; Radomsky AS;

Background and objectives: Cognitive models of OCD posit that dysfunctional beliefs contribute to the maintenance of symptoms. In addition to well-established belief domains, beliefs about losing control has been identified as a novel cognitive domain which may influence OCD phenomena, including other dysfunctional beliefs. However, the exact nature of th ...

Article GUID: 39626976

Author(s): Sinno S; MacInnis G; Lessard JP; Ziter CD;

Urbanization is a leading threat to biodiversity, but scientifically informed management of urban ecosystems can mitigate negative impacts. For wild bees, which are declining worldwide, careful consideration of flower choice in public and private green spaces could help preserve their diversity. While floral density and species richness are both linked to ...

Article GUID: 39609370

Author(s): Patrick Viet-Quoc N; Thien Thanh DV; Philippe L; Sebastien C; Lidia S; Philippe D;

Objective: This systematic review and meta-analysis evaluates the efficacy in improving sleep quality and safety of hypnotics in individuals aged 65 years or older compared to those under 65 years. Methods: MEDLINE, EMBASE, Web of Science, and EBM Reviews were searched for randomized clinical trials comparing hypnotics to the placebo in adults with chron ...

Article GUID: 39603114

Author(s): Wolfe D; Dover G; Boily M; Fortin M;

Background/objectives: Individuals with chronic low back pain (CLBP) have altered lumbar multifidus stiffness properties compared to healthy controls. Although neuromuscular electrical stimulation (NMES) application to the multifidus might affect stiffness, this has never been investigated. The aims of this study were to examine the effect of a single NME ...

Article GUID: 39594260

Author(s): Mohanathas N; Montanari L; Gabriel GA; Downey R; Li KZH; Campos JL;

Age-related hearing loss is a risk factor for mobility problems and falls, possibly due to poor access to spatial sounds or the higher allocation of attention required to listen, thereby reducing cognitive resources to support mobility. Introducing stabilizing spatial sounds or reducing cognitive load through hearing aids could possibly improve balance pe ...

Article GUID: 39567644

Author(s): Borra D; Magosso E; Ravanelli M;

Deep learning solutions have rapidly emerged for EEG decoding, achieving state-of-the-art performance on a variety of decoding tasks. Despite their high performance, existing solutions do not fully address the challenge posed by the introduction of many hyperparameters, defining data pre-processing, network architecture, network training, and data augment ...

Article GUID: 39549492