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Mechanoluminescence (ML) is a unique luminescent phenomenon that converts mechanical energy into light energy. Recently, it has attracted the attention of many researchers due to its potential applications in visible stress sensing, wearable luminescent devices, self-powered electronic skin, and luminescent anti-counterfeiting. However, the absence of standardized testing methods and metrics for evaluating the performance of ML materials poses a hinderance to the development of ML. In this review, we focus on the ML testing methods, with an emphasis on the testing specimen, force application equipment and optical signal acquisition systems. Finally, we conclude with discussions on the future necessity and existing problems regarding the standardization of characterization methods for ML properties, aiming to provide a reference idea for the standardization of ML. [ABSTRACT FROM AUTHOR]

Mechanoluminescence (ML) is a fascinating phenomenon with diverse applications in pressure sensing, damage detection, and stress distribution visualization. However, most ML materials exhibit instantaneous photon emission that requires real‐time recording with a photodetector, and thereby circumscribing their applicability predominantly to real‐time stress‐sensing scenarios. In this work, a novel method is introduced for non‐real‐time stress sensing utilizing Li0.1Na0.9NbO3:Pr3+ phosphor, which allows for the retrieval of pressure location and intensity even 20 days after the event. The influence of heat and pressure on the trap depth distribution is analyzed using thermoluminescence (TL) and ML measurements, and it is proved that both heat and pressure release the captured electrons in the same traps. Leveraging the intricate competition between mechanical and thermal detrapping processes, stress information can be accessed through TL imaging. Furthermore, an algorithm is proposed based on this phenomenon to authenticate the stress information. This research not only advances the fundamental understanding of ML phenomena but also introduces a novel approach for applications such as mechano‐history indicators, security papers, and advanced data storage systems. [ABSTRACT FROM AUTHOR]

Persistent mechanoluminescence (PML) is highly desirable for its ability to overcome transient‐emitting behavior, but its applications are hindered by the limited emission wavelengths. Herein, a universal chemical interlinkage‐assisted efficient energy transfer (ET) strategy is introduced to achieve color conversion from green to red in traditional PML materials. A straightforward chemical route to create the RhB@SiO2/SAOED system is established via covalent chemical interlinkage by depositing mesoporous silica‐encapsulated Rhodamine B (RhB) nanoparticles (RhB@SiO2) onto SrAl2O4:Eu, Dy (SAOED) particles. The resulting system exhibits a high ET efficiency of 53.5%. The multicolor PML of the RhB@SiO2/SAOED system remains visible to the naked eye for exceeding 28 s after mechanical stimulation. With this unique PML behavior, the RhB@SiO2/SAOED system demonstrates the potential applications ranging from visualized reading activities to multi‐mode anticounterfeiting. This universal PML color‐conversion strategy provides a new approach to high‐performance mechanical light energy‐conversion systems and may further inspire more diverse functional applications of classical PML materials. [ABSTRACT FROM AUTHOR]

To ensure the sustainable development of regional tourism, it is essential to differentiate between adjacent tourist attractions in a state of homogeneous competition. This study proposes a decision model for the tourism symbiosis of ancient villages and towns (AVTs) using tourist reviews. Their co‐occurrence and individual characteristics were extracted through content analysis, and a probabilistic linguistic CODAS method with a newly defined distance was employed for sentiment analysis. Four clustered AVTs located in Huaihua City, China, were selected to validate the decision model. The results indicate that a long history and culture, ethnic customs, and a serene atmosphere comprise co‐occurrence characteristics, while material landscape, spiritual culture, emotional cognition, and tourism services comprise individual characteristics. The corresponding tourism symbiotic development schemes, including cultural construction, life experience, and pastoral entertainment, are proposed based on the advantages and potentials perceived by tourists. The decision model could contribute to sustainable development of rural areas. [ABSTRACT FROM AUTHOR]