Dynamic pricing has become a widely adopted strategy in the hospitality and tourism industry, yet little is known about how consumers’ political identity influences their perceptions of its fairness. Drawing on data from a cross-sectional survey and a series of experimental studies, we examine how consumers’ political orientation shapes their responses to dynamic pricing practices and uncover that conservative consumers perceive dynamic pricing as fairer and react less negatively compared to their liberal counterparts. We further reveal that the government intervention moderates this effect: liberal consumers react more favorably when government intervention is present, whereas conservatives respond more negatively. These findings underscore the need for hospitality and tourism firms to account for consumers’ political identities in their target market when implementing dynamic pricing strategies, as these identities significantly shape attitudinal and behavioral responses across market segments.
In mathematics, the integral inequalities are crucial. Research on this topic has recently been conducted using the q -, (p,q) -, and symmetric q -calculus. In this manuscript, first, we consider the left endpoint of the interval and introduce the new concept of integration and derivatives in dual basic symmetric quantum calculus. Moreover, we derive symmetric post-quantum variants of integral inequalities, i.e., (p,q) -H ö lder, (p,q) - Minkowski, (p,q) -Hermite–Hadamard, and some kinds of (p,q) -Hermite–Hadamard inequalities. Finally, we give a graphical analysis of our obtained results by selecting certain parameters in different variants of newly introduced (p,q) -Hermite–Hadamard-type inequalities via support line.
This paper presents a resonant frequency tracking method for wireless power transfer (WPT) systems using a peak detector algorithm with a 3-point coarse and halved-fine tracking strategy. The proposed approach works without using primary-side voltage or secondary-side voltage and current, and determines the resonant frequency solely from the primary-side current peak, enabling fast, simple, and accurate frequency convergence. The proposed system is implemented with a STM32G4 module, coils, and discrete components. Experimental results verify that the proposed system achieves fast and stable tracking performance under various load conditions. The tracking time was measured as 1.87 ms at 50 Ω and 2.09 ms at 5 Ω, maintaining a consistent frequency tracking error of 125 Hz across the Qi standard operating range of 80–300 kHz. The proposed method achieved a peak power transfer efficiency of 92
Microplastics (MPs) are chemically stable and environmentally persistent pollutants that accumulate in natural ecosystems, posing potential risks to both environmental and human health. Despite growing concern, effective strategies for degrading MPs and elucidating their chemical transformations remain limited. In this study, we demonstrate plasmon-mediated degradation of polyethylene (PE) microplastics in aqueous solution using Au nanoparticle clusters (NPCs) under visible light irradiation. Nanogaps within the Au NPCs act as plasmonic hot spots, where hot carriers are generated and utilized in the degradation process, while the enhanced electromagnetic fields enable surface-sensitive detection of chemical changes via surface-enhanced Raman scattering (SERS). By leveraging the integrated catalytic and spectroscopic capabilities of Au NPCs, we conducted real-time SERS monitoring to reveal the plasmon-mediated degradation mechanism of PE MPs.
