Developing high-performance cathodes is critical to advancing proton-conducting solid oxide fuel cells (PCFCs). However, their practical application remains constrained by sluggish oxygen reduction reaction (ORR) kinetics and the instability of nanoscale catalytic features in oxidizing environments. Here, a cobalt-free nanocomposite cathode is rationally engineered via a Mo-induced ion-topological strategy based on the perovskite oxide BaCe0.26Ni0.1Fe0.64O3−δ (BCNF10). Through the introduction of B-site Mo, the spontaneous exsolution of highly dispersed NiO nanoparticles significantly enhances surface oxygen exchange kinetics and leads to the formation of stable and well-defined heterointerfaces. The single cell with the optimized composite cathode Ba0.95Ce0.25Ni0.1Mo0.05Fe0.6O3−δ (BCNMF10) achieves an outstanding maximum power density (MPD) of 2002 mW·cm−2 at 700 °C, accompanied by excellent long-term operational durability and humidity tolerance. First-principles calculations further elucidate the underlying mechanism, revealing a thermodynamically favorable, defect-mediated pathway for NiO formation and underscore the crucial role of dopant‒defect interactions in tailoring surface reactivity. This work provides a robust and scalable framework for the development of durable, high-efficiency cathodes for next-generation PCFCs.
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Open Access
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Open Access
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Some studies suggest that the metabolic alterations linked to obesity in humans may increase the likelihood of developing dementia. However, there are currently no existing meta‐analyses exploring the possible occurrence of dementia in patients with metabolically healthy obesity (MHO). In the present study, we aimed to investigate a potential correlation between individuals with MHO and the likelihood of developing dementia.
Our research focused on searching three databases to locate pertinent studies starting from January 10, 2023. We used sensitivity analysis, the Egger's test, and a visual funnel plot to separately assess the reliability of the research results and publication bias. We conducted this study according to a pre‐established protocol in the PROSPERO registry (CRD42023449459).
We incorporated three potential cohort investigations. Individuals with good metabolic health and obesity showed a decreased likelihood of developing dementia compared with those who were metabolically healthy but not obese (hazard ratio (HR) = 0.79; 95% confidence interval (CI) 0.68–0.92). In contrast, individuals who were metabolically unhealthy and nonobese had an increased likelihood of developing dementia (HR = 1.33; 95% CI 1.25–1.42), whereas the population with metabolically unhealthy obesity did not exhibit a notable association with dementia onset (HR = 1.06; 95% CI 0.83–1.37).
According to our meta‐analysis, patients with MHO had a reduced likelihood of developing general dementia and Alzheimer disease. Maintaining a well‐functioning metabolism can provide advantages in reducing the occurrence of dementia.
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