The purpose of the current study was to examine the latent structure and cross-cultural measurement validity of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) posttraumatic stress disorder (PTSD) symptoms assessed by the PTSD Checklist for DSM-5. Participants comprised trauma-exposed Chinese and Pakistani undergraduate students (N = 495 and N = 186, respectively). Confirmatory factor analysis (CFA) indicated that a seven-factor hybrid model involving intrusion, avoidance, negative affect, anhedonia, externalizing behaviors, anxious arousal, and dysphoric arousal factors provided good fit in both samples. This model fit significantly better than three alternative models including the DSM-5 four-factor model and six-factor anhedonia and externalizing behaviors models. The subsequent multigroup CFA showed that the best-fitting hybrid model demonstrated cross-cultural measurement invariance. Our findings provide further empirical support for the seven-factor PTSD hybrid model and its cross-cultural invariance, and have implications for understanding and application of DSM-5's PTSD symptoms.
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http://dx.doi.org/10.1097/NMD.0000000000001515 | DOI Listing |
Invest Ophthalmol Vis Sci
January 2025
Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Departamento de Química Biológica Ranwel Caputto. Córdoba, Argentina.
Purpose: Stress granules (SGs) are cytoplasmic biocondensates formed in response to various cellular stressors, contributing to cell survival. Although implicated in diverse pathologies, their role in retinal degeneration (RD) remains unclear. We aimed to investigate SG formation in the retina and its induction by excessive LED light in an RD model.
View Article and Find Full Text PDFOsteoporos Int
January 2025
Academy for Engineering and Technology, Fudan University, Shanghai, China.
Unlabelled: This study utilized deep learning for bone mineral density (BMD) prediction and classification using biplanar X-ray radiography (BPX) images from Huashan Hospital Medical Checkup Center. Results showed high accuracy and strong correlation with quantitative computed tomography (QCT) results. The proposed models offer potential for screening patients at a high risk of osteoporosis and reducing unnecessary radiation and costs.
View Article and Find Full Text PDFChaos
January 2025
Complex Systems Group, Department of Mathematics and Statistics, The University of Western Australia, Crawley, Western Australia 6009, Australia.
We propose a universal method based on deep reinforcement learning (specifically, soft actor-critic) to control the chimera state in the coupled oscillators. The policy for control is learned by maximizing the expectation of the cumulative reward in the reinforcement learning framework. With the aid of the local order parameter, we design a class of reward functions for controlling the chimera state, specifically confining the spatial position of coherent and incoherent domains to any desired lateral position of oscillators.
View Article and Find Full Text PDFJ Chem Phys
January 2025
School of Chemistry, Beihang University, Beijing 100191, China.
Dynamic density functional theory (DDFT) is a fruitful approach for modeling polymer dynamics, benefiting from its multiscale and hybrid nature. However, the Onsager coefficient, the only free parameter in DDFT, is primarily derived empirically, limiting the accuracy and broad application of DDFT. Herein, we propose a machine learning-based, bottom-up workflow to directly extract the Onsager coefficient from molecular simulations, circumventing partly heuristic assumptions in traditional approaches.
View Article and Find Full Text PDFJ Chem Phys
January 2025
Department of Chemistry, Southern Methodist University, Dallas, Texas 75275, USA.
Reliable computational methodologies and basis sets for modeling x-ray spectra are essential for extracting and interpreting electronic and structural information from experimental x-ray spectra. In particular, the trade-off between numerical accuracy and computational cost due to the size of the basis set is a major challenge, since molecular orbitals undergo extreme relaxation in the core-hole state. To gain clarity on the changes in electronic structure induced by the formation of a core-hole, the use of sufficiently flexible basis for expanding the orbitals, particularly for the core region, has been shown to be essential.
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