The adoption of plant-protection unmanned aerial vehicles (UAVs) in agriculture is gaining attention, yet empirical evidence on the factors affecting their uptake remains limited.  This study investigates the factors influencing the adoption of UAVs among rice farmers in China’s Jiangxi Province (n=260), utilizing a structural equation model grounded in the Technology Acceptance Model (TAM).  Results indicate that perceived usefulness (β=1.274, P<0.001) and ease of use (β=0.146, P<0.001) have a positive influence on adoption intention, while perceived risk (β=–0.731, P<0.001) acts as a barrier.  Network externalities also play a significant role, with peer influence amplifying the likelihood of adoption.  Mediation analysis reveals that perceived risk mediates the relationship between network externalities and adoption (β=–0.569, P<0.05), underscoring the interplay between social factors and risk perception.  Additionally, farm size (β=0.001, P<0.001) has a significant positive effect on adoption decisions, whereas education level, age, and planting experience show no significant impact.  These findings provide critical insights for policymakers and industry stakeholders in designing targeted interventions, such as subsidies, training programs, and risk mitigation strategies, to promote the adoption of UAVs in agriculture.

Hair follicle stem cell (HFSC), capable of self-renewal and differentiation in hair follicle, represents an emerging stem cell model for regenerative medicine.  The interaction between HFSC and dermal papilla cell (DPC) governs hair follicle development.  FGF7 functions as a paracrine protein regulating epithelial proliferation, differentiation and migration.  The single-cell transcriptome profiling and immunofluorescence analysis demonstrated that FGF7 localizes at DPC, while FGF7 receptor (FGFR2) expresses in both DPC and HFSC.  Through co-culture experiments of HFSC and DPC, the results indicated that FGF7 secreted from DPC promotes the proliferation of DPC and HFSC via Wnt signaling pathway and induces HFSC differentiation.  Furthermore, CUT&Tag assay revealed genomic colocalization between FGF7 and pluripotency-related genes and GSK3β.  Electrophoretic mobility shift assay (EMSA) demonstrated that FGF7 interacts with the promoter region of CISH and PRKX.  This research provides valuable insights into the molecular mechanisms underlying the hair cycle.  Understanding the interaction between HFSC and DPC, as well as the role of FGF7, may advance regenerative medicine and hair loss treatment.