Immunogenicity and safety of the human papillomavirus (HPV)-16/18 AS04-adjuvanted vaccine were evaluated in healthy Chinese females aged 9–45 years in 2 phase IIIB, randomized, controlled trials. Girls aged 9–17 years (ClinicalTrials.gov, NCT00996125) received vaccine (n = 374) or control (n = 376) and women aged 26–45 years (NCT01277042) received vaccine (n = 606) or control (n = 606) at months 0, 1, and 6. The primary objective was to show non-inferiority of anti-HPV-16 and -18 immune responses in initially seronegative subjects at month 7, compared with Chinese women aged 18–25 years enrolled in a separate phase II/III trial (NCT00779766). Secondary objectives were to describe the anti-HPV-16 and -18 immune response, reactogenicity and safety. At month 7, immune responses were non-inferior for girls (9–17 years) vs. young women (18–25 years): the upper limit of the 95% confidence interval (CI) for the geometric mean titer (GMT) ratio (women/girls) was below the limit of 2 for both anti-HPV-16 (0.37 [95% CI: 0.32, 0.43]) and anti-HPV-18 (0.42 [0.36, 0.49]). Immune responses at month 7 were also non-inferior for 26–45 year-old women vs. 18–25 year-old women: the upper limit of the 95% CI for the difference in seroconversion (18–25 minus 26–45) was below the limit of 5% for both anti-HPV-16 (0.00% [–1.53, 1.10]) and anti-HPV-18 (0.21% [–1.36, 1.68]). GMTs were 2- to 3-fold higher in girls (9–17 years) as compared with young women (18–25 years). The HPV-16/18 AS04-adjuvanted vaccine had an acceptable safety profile when administered to healthy Chinese females aged 9–45 years.

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The rapid development of digital technology results in a tremendous increase in computational tasks that impose stringent performance requirements on next‐generation computing. Biological neurons with fault tolerance and logic functions exhibit powerful computing capacity when facing complex real‐world problems, which strikes the inspiration for the development of highly energy‐efficient brain‐like computing. Herein, a novel device architecture, an electrolyte‐manipulated ferroelectric organic neuristor, which emulates biological neurons to perform both neuromorphic and reconfigurable logic‐in‐memory operations in a single cell, is proposed. The interfacial coupling of ions and dipoles in the neuristor contributes to the tunable synaptic behaviors of short‐ to long‐term plasticity. Notably, by virtue of lateral capacitive coupling, the neuristor is effectively controlled by multiple in‐plane gates to achieve heterosynaptic plasticity. An artificial neural network exhibits robust recognition ability with high accuracy of 93.7% in speech recognition, further demonstrating the feasibility of the neuristor for neuromorphic computing. Additionally, reconfigurable logic‐in‐memory operations (OR and AND) are successfully demonstrated in a single device. Therefore, the devices shed new light on the development of more brain‐inspired computing systems in the era of big data.