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Psychotic experiences (PE) are prevalent in general and clinical populations and can increase the risk for mental disorders in young people. The Community Assessment of Psychic Experiences (CAPE) is a widely used measure to assess PE in different populations and settings. However, the current knowledge on their overall reliability is limited. We examined the reliability of the CAPE-42 and later versions, testing the role of age, sex, test scores, and clinical status as moderators. A systematic search was conducted on the Scopus, Web of Science, PubMed, EBSCOhost, ProQuest, and GoogleScholar databases. Internal consistency and temporal stability indices were examined through reliability generalization meta-analysis (RGMA). Moderators were tested through meta-regression analysis. From a pool of 1,015 records, 90 independent samples were extracted from 71 studies. Four versions showed quantitative evidence for inclusion: CAPE-42, CAPE-20, CAPE-P15, and CAPE-P8. Internal consistency indices were good (α/ω≈.725-0.917). Temporal stability was only analyzed for the CAPE-P15, yielding a moderate but not-significant effect (r=0.672). The evidence for temporal stability is scant due to the limited literature, and definitive conclusions cannot be drawn. Further evidence on other potential moderators such as adverse experiences or psychosocial functioning is required.
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http://dx.doi.org/10.1016/j.psychres.2024.115988 | DOI Listing |
Oecologia
September 2025
Department of Entomology and Plant Pathology, Auburn University, 301 Funchess Hall, Auburn, AL, 36849, USA.
Understanding changes to local communities brought about by biological invasions is important for conserving biodiversity and maintaining environmental stability. Scale insects (Hemiptera: Coccoidea) are a diverse group of insects well known for their invasion potential and ability to modify local abundance of multiple insect groups. Here, we tested how the presence of crape myrtle bark scale (Acanthococcus lagerstroemiae, CMBS), an invasive felt scale species, seasonally impacted local insect abundance, biodiversity, and community structure on crape myrtle trees.
View Article and Find Full Text PDFBrain Res Bull
September 2025
Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, CA; Institute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA.
We propose a Biophysically Restrained Analog Integrated Neural Network (BRAINN), an analog electrical network that models the dynamics of brain function. The network interconnects analog electrical circuits that simulate two tightly coupled brain processes: (1) propagation of an action potential, and (2) regional cerebral blood flow in response to the metabolic demands of signal propagation. These two processes are modeled by two branches of an electrical circuit comprising a resistor, a capacitor, and an inductor.
View Article and Find Full Text PDFTissue Eng Part A
September 2025
Department of Chemical and Materials Engineering, Faculty of Engineering, The University of Auckland, Auckland, New Zealand.
Spatially and temporally controlled drug delivery is an important field to address the limitations of conventional pharmaceutical administration. While many effective controlled drug delivery systems exist, the repertoire of systems that additionally present a beneficial mechanical environment to cells remains scarce. To address this, a comprehensive release study of fluorescein as a model drug, and the corticosteroid dexamethasone, from poly(-isopropylacrylamide)/polypyrrole (pNIPAM/PPy) conducting polymer hydrogels is presented within this study.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
September 2025
Epilepsy, a highly individualized neurological disorder, affects millions globally. Electroencephalography (EEG) remains the cornerstone for seizure diagnosis, yet manual interpretation is labor-intensive and often unreliable due to the complexity of multi-channel, high-dimensional data. Traditional machine learning models often struggle with overfitting and fail in fully capturing the highdimensional, temporal dynamics of EEG signals, restricting their clinical utility.
View Article and Find Full Text PDFBull Math Biol
September 2025
Department of Mathematics, Siena University, 515 Loudon Road, Loudonville, NY, 12211, USA.
Autonomous differential equation compartmental models hold broad utility in epidemiology and public health. However, these models typically cannot account explicitly for myriad factors that affect the trajectory of infectious diseases, with seasonal variations in host behavior and environmental conditions as noteworthy examples. Fortunately, using non-autonomous differential equation compartmental models can mitigate some of these deficiencies, as the inclusion of time-varying parameters can account for temporally varying factors.
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