Prior research has shown that people are more likely to remember information that is deleted from a computer than information that is saved on a computer, presumably because saving serves as a form of cognitive offloading. Given recent concerns about the robustness and replicability of this "Google Effect," we conducted two experiments seeking to replicate and extend the phenomenon by identifying a potential boundary condition for when it is observed. In Experiment 1, we replicated the Google Effect, but only when participants experienced a practice phase demonstrating the reliability of the saving process. No evidence of a Google Effect was observed when participants experienced a practice phase demonstrating the saving process to be unreliable. In Experiment 2, we replicated the results of Experiment 1 in the reliable condition, while demonstrating the effect to be robust across 10 different topics of trivia statements. Taken together, these results suggest that the Google Effect is a replicable phenomenon, but that the perceived reliability of the saving process is critical for determining whether it is observed.
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http://dx.doi.org/10.1080/09658211.2021.1962356 | DOI Listing |
J Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
View Article and Find Full Text PDFPLoS One
January 2025
School of Economics and Trade, Hunan University, Changsha, China.
High trade costs pose substantial barriers to the process of trade liberalization. This study aims to measure trade costs and explore the driving forces behind the growth of bilateral trade between Cambodia and its top 30 trading partners from 1993 to 2019. Using a micro-founded measure of trade costs derived from the gravity model, we find that Cambodia's average trade costs decreased by 35.
View Article and Find Full Text PDFPLoS One
January 2025
Lagos State Health Management Agency, Lagos, Nigeria.
Background: Each year, millions of people in low-and middle-income countries such as Nigeria are forced into poverty and financial ruin due to out-of-pocket (OOP) healthcare expenses. Our study assessed the prevalence and determinants of Catastrophic Healthcare Expenditure (CHE) experienced by households in Lagos, Nigeria.
Methods: A descriptive community-based cross-sectional survey was conducted on 2492 households in Lagos from December 2022 to March 2023 in 4 Local Government Areas (LGAs) using a multistage sampling technique.
Liver Int
February 2025
Department of Clinical Pharmacology and Toxicology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.
Targeted therapies and immunotherapies have shown great promise as best-in-class treatments for several cancers with respect to efficacy and safety. While liver test abnormalities are rather common in patients treated with kinase inhibitors or immunotherapy, events of severe hepatotoxicity in these patients are rare in comparison with those associated with chemotherapeutics. The underlying mechanisms and risk factors for severe hepatotoxicity with novel oncology therapies are not well understood, complicating the drug-induced liver injury (DILI) risk assessment in the preclinical and clinical phases of drug development.
View Article and Find Full Text PDFInorg Chem
January 2025
College of Physical Science and Technology, Yangzhou University, Yangzhou 225002, People's Republic of China.
Replacing the sluggish anodic water oxidation reaction with the glucose oxidation reaction (GOR) offers an energy-saving strategy to obtain value-added products during the hydrogen production process. However, rational design of the GOR electrocatalyst with an explicit structure-property relationship remains a challenge. In this study, by using cobalt chalcogenides as model catalysts, we performed an in-depth study of the GOR catalytic mechanism of CoS and CoSe nanosheets.
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