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This three-wave study aims to explore whether the impact of investment literacy on the financial management behavior is mediated by investment advice use and moderated by the need for cognitive closure. A total number of 272 financially independent adults, under 40 years, completed questionnaires at three different times with 3-month intervals. The results reveal that employees with more investment advice use and characterized by high need for cognitive closure show a higher level of financial management behavior, in relation to both the urgency (seizing) of getting knowledge and the permanence (freezing) of such knowledge. The present study contributes to better understand how and when investment literacy drives well-informed and responsible financial behavior. According to these results, interventions to improve financial behavior should focus on the combination of investment advice use and metacognitive strategies used by individuals to make financial decisions.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6283974 | PMC |
http://dx.doi.org/10.3389/fpsyg.2018.02419 | 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 PDFBiomaterials
August 2025
Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA. Electronic address:
Wearable bioelectronics have transformed modern biomedical applications by enabling seamless integration with biological tissues, providing continuous, comprehensive, and personalized healthcare. Skin cancer, particularly melanoma, poses a significant clinical challenge due to its high metastatic potential and associated mortality. Traditional diagnostic approaches face limitations in accuracy, accessibility, and reproducibility, while existing treatments are often constrained by systemic toxicity and therapeutic resistance.
View Article and Find Full Text PDFPurpose: In Armenia, a lower-middle-income country, cancer causes 21% of all deaths, with over half of cases diagnosed at advanced stages. Without universal health insurance, patients rely on out-of-pocket payments or black-market channels for costly immunotherapies, underscoring the need for real-world data to inform equitable policy reforms.
Methods: We conducted a multicenter, retrospective cohort study of patients who received at least one dose of an immune checkpoint inhibitor (ICI) between January 2017 and December 2023 across six Armenian oncology centers.
J 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.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Economics, Cornell University, Ithaca, United States of America.
In this paper, we study the impact of momentum, volume and investor sentiment on U.S. tech sector stock returns using Principal Component Analysis-Hidden Markov Model (PCA-HMM) methodology.
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