Author(s): Labbé S; Bacon SL; Wu N; Ribeiro PAB; Boucher VG; Stojanovic J; Voisard B; Deslauriers F; Tremblay N; Hébert-Auger L; Lavoie KL;

Traditional approaches to increase vaccination rely upon educating patients about vaccines. However, research shows that "knowing" vaccines are important is often insufficient: patients need to believe that getting vaccinated is important. Evidence-based motivational approaches, such as ...

Article GUID: 40167044

Author(s): Avigdor T; Ren G; Abdallah C; Dubeau F; Grova C; Frauscher B;

Morning awakening is part of everyday life. Surprisingly, information remains scarce on its underlying neurophysiological correlates. Here simultaneous polysomnography and stereo-electroencephalography recordings from 18 patients are used to assess the spectral and connectivity content of the process of awakening at a local level 15 min before and after t ...

Article GUID: 40126936

Author(s): Zhao M; Law A; Su C; Jennings S; Bourgon A; Jia W; Larose MH; Bowness D; Zeng Y;

Objective: This study aims to investigate the relationship between the subjective performance evaluations on pilot trainees' aircraft control abilities and their brainwave dynamics reflected in the results from EEG microstate analysis. Specifically, we seek to identify correlations between distinct microstate patterns and each dimension included in th ...

Article GUID: 40109507

Author(s): Murphy A; Elbarazi I; Horen N; Ismail-Allouche Z; Long T; McNeill A; Arafat C; England D;

Background: An increasing body of evidence highlights the utility of examining adverse childhood experiences (ACEs) utilizing person-centered analytical approaches, particularly for understanding the organization and co-occurrence of ACEs, and their contributions to risk, vulnerability, and the development of intervention efforts. Methods: In the first s ...

Article GUID: 40001056

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

Purpose: Statistical shape models (SSMs) are widely used for morphological assessment of anatomical structures. However, a key limitation is the need for a clear relationship between the model's shape coefficients and clinically relevant anatomical parameters. To address this limitation, this paper proposes a novel deep learning-based anatomically par ...

Article GUID: 39953355

Author(s): Mehrabi F; Beshai S;

Objectives: In this study, we aimed to (1) examine profiles of mindfulness using the short form of the FFMQ (FFMQ-SF), (2) identify the demographic predictor (i.e., sex) of mindfulness profile membership, and (3) examine associations of mindfulness profiles with psychological outcomes (i.e., anxiety and depressive symptoms). Methods: This cross-sectional ...

Article GUID: 39944045

Author(s): Zhang X; Zhan F; Hao C; Lei YD; Wania F;

One of the challenges arising during non-targeted analysis (NTA) is that the number of detected chemical features is generally too large for detailed processing and interpretation. Here, we illustrate how the analysis of spatial trends in peak intensities can be an effective tool to prioritize chemical features in NTA. Specifically, features detected by g ...

Article GUID: 39912640

Author(s): Madriaza P; Hassan G; Brouillette-Alarie S; Mounchingam AN; Durocher-Corfa L; Borokhovski E; Pickup D; Paillé S;

The problem: People use social media platforms to chat, search, and share information, express their opinions, and connect with others. But these platforms also facilitate the posting of divisive, harmful, and hateful messages, targeting groups and individuals, based on their race, religion, gend ...

Article GUID: 39822240

Author(s): Alasmar Z; Chakravarty MM; Penhune VB; Steele CJ;

The cortex and cerebellum are densely connected through reciprocal input/output projections that form segregated circuits. These circuits are shown to differentially connect anterior lobules of the cerebellum to sensorimotor regions, and lobules Crus I and II to prefrontal regions. This differential connectivity pattern leads to the hypothesis that indivi ...

Article GUID: 39791308

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): Rahaei N; Buynack LM; Kires L; Movasseghi Y; Chapman CA;

Estrogens and progesterone can have rapid effects on neuronal function and can modify the use of spatial navigation strategies dependent upon the prefrontal cortex, striatum, and hippocampus. Here, we assessed the effects of 17ß-estradiol (E2), progesterone, and its metabolite allopregnanolone, on evoked excitatory postsynaptic potentials in the infralimb ...

Article GUID: 39722289