Yilin Liu

2 months ago | nature.com | Yilin Liu |Ping Ji

In recent years, the emergence of artificial intelligence painting tools has significantly changed the creative activities and future development of designers, but studies specifically addressing designers’ inclinations to transition to AI painting tools are scarce. Therefore, to understand designers’ switching intentions toward AI painting tools, this study proposed a research model based on the push–pull–mooring framework. Data were collected from 320 Chinese designers and analyzed using structural equation modeling. The results indicate that the attractiveness of AI painting tools is the main factor that affects the designers’ intentions to switch, followed by switching costs and dissatisfaction with traditional painting tools. Moreover, perceived pleasantness increased the attractiveness of AI painting tools, and individuals’ habits greatly improved switching costs. These results provided valuable empirical evidence for the future advancement of AI painting tools. The findings of this study not only provide light on the motivations behind designers’ decisions during periods of technological change but also offer valuable references for future technological directions in the design industry and the evolution of designers’ professional roles. Furthermore, it provides important recommendations for AI painting tool developers, emphasizing the need to enhance the tools’ creativity and appeal.

Oct 23, 2024 | mdpi.com | Maolin Li |Yingda Wu |Yilin Liu |Yu An Zhang

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Aug 19, 2024 | alzres.biomedcentral.com | Yuzhu Gao |Ruihan Wang |Kefan Mou |Yifan Zhang |Hanyue Xu |Yilin Liu | +8 more

This cross-sectional study was approved by the Ethics Committee on Biomedical Research, West China Hospital of Sichuan University, and was conducted in accordance with the Declaration of Helsinki. All the participants were recruited in this study from June 2022 to December 2023. Written informed consent was obtained from all the enrolled participants.

Oct 31, 2023 | dx.doi.org | Yilin Liu |Zibo Li |Yang Xu |Xia Xu

RETURN TO ARTICLES ASAPPREVSurfaces, Interfaces...Surfaces, Interfaces, and ApplicationsNEXT Yilin Liu Beijing National Laboratory for Molecular Sciences (BNLMS), CAS Key Lab of Colloid, Interface and Chemical Thermodynamics, Institute of Chemistry, Chinese Academy of Sciences, 100190 Beijing, China University of Chinese Academy of Sciences, 100049 Beijing, China , Zibo Li Beijing National Laboratory for Molecular Sciences (BNLMS), CAS Key Lab of Colloid, Interface and Chemical...

Jun 26, 2023 | onlinelibrary.wiley.com | Yilin Liu |Jie Zhao |Xia Xu |Yang Xu

Graphical Abstract Emodin-based nanoparticles (E/H NPs) are fabricated by the co-assembly of Emo and HSA. E/H NPs possess a super-large two-photon absorption cross-section (TPAC) and ideal singlet oxygen (1O2) generation capability. They can be easily internalized by tumors and exhibit outstanding anti-cancer efficacy at ultra-low dosages. Abstract Two-photon-excited photodynamic therapy (TPE-PDT) has significant advantages over conventional photodynamic therapy (PDT).