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A person-centered examination of adverse childhood experiences and associated distal health, mental health, and behavioral outcomes in the United Arab Emirates

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


Leveraging deep learning for nonlinear shape representation in anatomically parameterized statistical shape models

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


Dispositional mindfulness profiles and psychological symptoms: a latent profile analysis

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


Prioritizing Chemical Features in Non-targeted Analysis through Spatial Trend Analysis: Application to the Identification of Organic Chemicals Subject to Mountain Cold-Trapping

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


Exposure to hate in online and traditional media: A systematic review and meta-analysis of the impact of this exposure on individuals and communities

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


Patterns of Cerebellar-Cortical Structural Covariance Mirror Anatomical Connectivity of Sensorimotor and Cognitive Networks

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


Semantically-Enhanced Feature Extraction with CLIP and Transformer Networks for Driver Fatigue Detection

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


Progesterone and allopregnanolone facilitate excitatory synaptic transmission in the infralimbic cortex via activation of membrane progesterone receptors

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


Effect of age on hypnotics' efficacy and safety in insomnia: A systematic review and meta-analysis

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


3D bioheat transfer mapping reveals nanomagnetic particles effectiveness in radiofrequency hyperthermia breast cancer treatment comparing to experimental study

Author(s): Kavousi M; Saadatmand E; Masoumbeigi M; Mahdavi R; Riyahi Alam N;

Radiofrequency (RF) hyperthermia has been widely used for tumor ablation since magnetic-fluid-hyperthermia (MFH) can be utilized for increasing temperature in tumor-region as a complementary-method for hyperthermia. In this study, the effectiveness of using the magnetite-nanoparticles (Fe3O4) in RF hyperthermia for breast cancer (BC) treatment by determin ...

Article GUID: 39557504


A guide to exploratory structural equation modeling (ESEM) and bifactor-ESEM in body image research

Author(s): Swami V; Maïano C; Morin AJS;

Traditionally, assessments of factor validity of body image instruments have relied on exploratory or confirmatory factor analysis. However, the emergence of exploratory structural equation modeling (ESEM), a resurgence of interest in bifactor models, and the ability to combine both models (bifactor-ESEM) is beginning to shape the future of body image res ...

Article GUID: 39492241


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