The association between the diversity of online activities on smartphones and cognitive function among middle-aged and elderly Chinese adults by Qian Chen, Haoqiang Ji, Qingxin Shang

“…Moreover, some online activities, such as watching news (β:0.5, 95% CI:0.2–0.8), posting moments (β:0.4, 95% CI:0.2–0.7) playing games (β:0.3, 95% CI:0.03–0.6) and making mobile payments (β:0.3, 95% CI:0.1–0.5) were independently associated with good cognitive function. …”
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A study on the carbon emission reduction pathways of China’s digital economy from multiple perspectives by Xiaoyan Shi, Zhenhua Zhu, Jiaxin Wu, Zhijiang Li

“…As the share of the digital economy’s output continues to rise each year, the emergence of new industries such as e-commerce, mobile payments, and cloud computing has opened new avenues for carbon emission reduction (CER). …”
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Household usage of financial services around the world and Ukraine by Shapoval Yu. I.

“…The ways of increasing the use of financial services are identified, such as mobile payments, digitalisation of private and public payments, and an increase in financial literacy.…”
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Characterizing Mobile Money Phishing Using Reinforcement Learning by Alima Nzeket Njoya, Vanelle Laure Tchaya Ngongag, Franklin Tchakounte, Marcellin Atemkeng, Claude Fachkha

“…Finally, we found that some deep reinforcement algorithms, such as Deep Sarsa and <inline-formula> <tex-math notation="LaTeX">$A2C$ </tex-math></inline-formula>, can improve the characterization of scammer-victim interactions during mobile payments.…”
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RingAuth dataset by Sturgess, J

“…The data contains data from users (n=21) as they performed five types of gesture: tap gestures as users performed mobile payments on a number of point-of-sale terminals with (i) the smart ring and (ii) the smartwatch, and knock gestures as users knocked on the door in patterns of (iii) 3 knocks at a time, (iv) 5 knocks at a time, and (v) secret knocks chosen by the user. …”