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Assessing the credibility of symptoms is critical to neuropsychological assessment in both clinical and forensic settings. To this end, the Inventory of Problems-29 (IOP-29) and its recently added memory module (Inventory of Problems-Memory; IOP-M) appear to be particularly useful, as they provide a rapid and cost-effective measure of both symptom and performance validity. While numerous studies have already supported the effectiveness of the IOP-29, research on its newly developed module, the IOP-M, is much sparser. To address this gap, we conducted a simulation study with a community sample ( = 307) from the United Kingdom. Participants were asked to either (a) respond honestly or (b) pretend to suffer from mTBI or (c) pretend to suffer from depression. Within each feigning group, half of the participants received a description of the symptoms of the disorder to be feigned, and the other half received both a description of the symptoms of the disorder to be feigned and a warning not to over-exaggerate their responses or their presentation would not be credible. Overall, the results confirmed the effectiveness of the two IOP components, both individually and in combination.
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http://dx.doi.org/10.1080/23279095.2022.2115910 | DOI Listing |
Water Res
September 2025
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China. Electronic address:
Groundwater overextraction presents persistent challenges due to strategic interdependence among decentralized users. While game-theoretic models have advanced the analysis of individual incentives and collective outcomes, most frameworks assume fully rational agents and neglect the role of cognitive and social factors. This study proposes a coupled model that integrates opinion dynamics with a differential game of groundwater extraction, capturing the interaction between institutional authority and evolving stakeholder preferences.
View Article and Find Full Text PDFNutr Rev
September 2025
Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.
Pomegranate (Punica granatum L) is a rich source of bioactive compounds, including punicalagin, ellagic acid, anthocyanins, and urolithins, which contribute to its broad pharmacological potential. This review summarizes evidence from in vitro and in vivo experiments, as well as clinical studies, highlighting pomegranate's therapeutic effects in inflammation, metabolic disorders, cancer, cardiovascular disease, neurodegeneration, microbial infections, and skin conditions. Mechanistic insights show modulation of pathways such as nuclear factor-kappa B (NF-κB), mitogen-activated protein kinase (MAPK), alpha serine/threonine-protein kinase (AKT1), and nuclear factor erythroid 2-related factor 2 (Nrf2).
View Article and Find Full Text PDFChem Biodivers
September 2025
Department of Biology, Faculty of Science, Selçuk University, Konya, Turkey.
Hippophae salicifolia, commonly known as sea buckthorn, is native to the Indian Himalayan region. This study is the first to comprehensively assess the phytochemical profile and biological activities of H. salicifolia leaves extracted through maceration, infusion, and percolation (Soxhlet apparatus) methods.
View Article and Find Full Text PDFChem Biodivers
September 2025
Department of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk, Republic of Korea.
One of the most significant problems facing the scientific community in the 21st century is diabetes mellitus. There is an urgent need to create new powerful compounds that can fight this terrible disease because the number of instances of diabetes and drug-resistant diabetes is rising. We have synthesized a novel series of thiazole-derived thiadiazole-based Schiff base derivatives (1-10) in an effort to identify potential antidiabetic agents.
View Article and Find Full Text PDFJ Med Screen
September 2025
The Cancer Registry of Norway, Department of Screening programs, Norwegian Institute of Public Health, Oslo, Norway.
ObjectiveTo study the implications of implementing artificial intelligence (AI) as a decision support tool in the Norwegian breast cancer screening program concerning cost-effectiveness and time savings for radiologists.MethodsIn a decision tree model using recent data from AI vendors and the Cancer Registry of Norway, and assuming equal effectiveness of radiologists plus AI compared to standard practice, we simulated costs, effects and radiologist person-years over the next 20 years under different scenarios: 1) Assuming a €1 additional running cost of AI instead of the €3 assumed in the base case, 2) varying the AI-score thresholds for single vs. double readings, 3) varying the consensus and recall rates, and 4) reductions in the interval cancer rate compared to standard practice.
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