Gannan Normal University

Purpose This study investigates how social media influencers (SMIs) impact mimicry consumption by applying the heuristic-systematic model (HSM). It explores how the roles of empathy expression and self-disclosure influence consumers’ consumption imitation. Design/methodology/approach A quantitative, cross-sectional survey design was employed. Data were collected from 475 Chinese social media users. PLS-SEM and PROCESS marco were used to test the hypothesized relationships. Mediation effects of SMI credibility and emotional attachment, and moderation effects of homophily were also tested. Findings Empathy expression and self-disclosure significantly enhance both SMI credibility and emotional attachment. SMI credibility, in turn, positively predicts mimicry consumption, supporting the heuristic pathway. In contrast, emotional attachment does not directly influence mimicry behavior, and homophily does not moderate the proposed relationships. However, emotional attachment significantly mediates the effects of empathy expression and self-disclosure on mimicry consumption, functioning as an indirect relational mechanism rather than a direct driver of imitation. Research limitations/implications This study relies on self-reported survey data, which may be susceptible to common method bias and social desirability effects, and lacks behavioral or experimental validation. The model centers on HSM mechanisms without examining alternative mediators. In addition, SMI-level characteristics were not incorporated. Future research should adopt behavioral or longitudinal designs, integrate additional psychological mechanisms and consider both relational and structural SMI attributes to provide a more comprehensive account of SMI-driven consumer behavior. Practical implications SMIs should prioritize empathy expression and authentic self-disclosure to enhance credibility and stimulate mimicry consumption. Long-term collaborations with SMIs who demonstrate consistent expertise, transparency and genuine product use are more effective than relying solely on follower size. Originality/value This study is among the first to apply the HSM to SMI marketing, offering a novel dual-process explanation of mimicry consumption. Unlike prior research that treats emotional engagement and credibility as isolated factors, this study integrates them into a cohesive cognitive-emotional framework. It also challenges assumptions by showing that emotional attachment and homophily may not directly drive consumer mimicry.

Despite the exceptional optoelectronic properties of three-dimensional (3D) perovskites, their commercial application remains constrained by insufficient long-term stability. Low-dimensional (LD)@3D perovskites integrate the high efficiency of 3D frameworks with the superior stability of LD phases, presenting a highly promising architecture. Herein, a series of aromatic heterocyclic imidazole derivatives, specifically 1H-benzo[d]imidazole hydroiodide (BnI), 3H-imidazo[4,5-b]pyridine hydroiodide (PdI), and 1H-imidazo[4,5-b]pyrazine hydroiodide (PzI), are tailored and incorporated into perovskite precursors as additives, promoting the formation of LD@3D perovskites. The LD perovskites can effectively passivate defects at the grain boundary and interface, optimize energy level alignment, and improve hole extraction. As a result, the champion perovskite solar cells (PSCs) based on PzI achieve an excellent power conversion efficiency (PCE) of 25.63%. Meanwhile, the unencapsulated devices with PzI display superior long-term stability, which retain 90% of their initial PCE after 1600h in ambient air. Finally, this strategy is successfully scaled to minimodules, delivering an efficiency of 21.51% for an active area of 20.25cm2, which is a very competitive efficiency in minimodules. This study highlights the pivotal role of rational additive engineering in LD@3D perovskites, demonstrating that tailored molecular design for highly efficient and stable PSCs.

Despite its widespread use in destination marketing practice, studies focusing on animal and celebrity animal endorsement is currently limited. This study expands the endorsement theory by addressing the issue of animal endorsement in destination marketing. Study 1 employed content analysis to code comment data on 20 popular giant panda videos, identifying five key effective animal endorser characteristics: cuteness, anthropomorphism, uniqueness, intimacy, and healing power. Based on questionnaire data and empirical tests, study 2 verified a model of animal endorsement in destination marketing. Results revealed that all five characteristics of animal endorser positively influenced travel intention through the mediation of parasocial interaction. This work provides important theoretical contributions to destination marketing through animal endorsement, offering actionable insights for marketers in selecting appropriate animal endorsers for destinations. • Defines the concept of animal endorsement in destination marketing. • Develops and test a model of animal endorsement in tourism. • Identifies cuteness, anthropomorphism, uniqueness, intimacy to humans, healing power as endorser characteristics. • Effective endorser characteristics positively affect parasocial interaction. • Parasocial interaction mediates the effects of animal endorsement on travel intention.

Nanozymes with multienzymatic activities provide synergistic effects for diverse biosensing applications. However, precise manipulation of their functionalities without cross-reactivity for advanced multimode sensing remains challenging. Herein, we employed a cytochrome c (Cyt c)-templated pyrolysis strategy to construct Fe single-atom nanozymes (FeSAN) featuring Fe-N5 moieties with pH-switchable multienzymatic activities. Notably, the oxidase and peroxidase-like activities of FeSAN exhibit acid-dependent catalytic behavior, enabling a self-supplying oxidative catalytic cascade in acidic conditions. Conversely, in alkaline media, FeSAN demonstrates superoxide dismutase and catalase-like activity, forming a complementary antioxidant pathway for superoxide anion scavenging. The enzyme-mimicking mechanism and potential cascade pathways were investigated through comprehensive experiments and theoretical calculations. Capitalizing on the divergent pH requirements of colorimetric (acidic) and electrochemiluminescence (alkaline) systems, this pH-switchable dual-cascade catalytic platform enables amplified colorimetric response via TMB oxidation in acidic media while suppressing electrochemiluminescence intensity in alkaline circumstances. Using an organophosphorus pesticide (e.g., trichlorfon) as a proof-of-concept target, this platform with inverse signal correction achieved at least 10-fold higher sensitivity and improved accuracy compared to conventional methods. This work establishes a novel paradigm for advanced biosensing by fully utilizing the multienzymatic functionalities of single-atom nanozymes to construct dual-cascade catalysis in dual-mode platforms.

The low-potential aldehyde oxidation reaction (LPAOR) is emerging as a pivotal anodic strategy in hybrid water electrolysis and biomass fuel cell systems, enabling low-energy hydrogen production and biomass upgrading. However, the most prior research focus on the stability of monometallic Cu catalysts and the structural modulation to accelerate hydrogen coupling, without elucidating the entire reaction pathways. Herein, a Cr-doped mixed-valent Cu nanowire arrays (An-CrCuxO-AC NWAs) catalyst is prepared to elucidate the dual pathways in LPAOR. Owing to the regulation of Cr on the adsorption ability of OH*, the active H* generated by C─H bond cleavage of aldehyde group combines with OH* forming H2O via Volmer step, triggering parallel one-electron and two-electron reaction pathways for An-CrCuxO-AC NWAs catalyst. Furthermore, Cr incorporation tunes the electronic structure of Cu, modulating the adsorption capacity of substrates and kinetics energy barrier of key elementary step, which makes an enhanced LPAOR performance. Concretely, the An-CrCuxO-AC NWAs catalyst attains a current density of 100mA cm-2 at 0.224 VRHE, remarkably surpassing An-CuxO-AC NWAs catalyst (0.271 VRHE). A hybrid system coupled LPAOR with oxygen reduction reaction realizes a peak power density of 43.0mW cm-2 at 103.1mA cm-2 using An-CrCuxO-AC NWAs as anodic catalyst.