Publications by authors named "J Z Cai"

Background: Survivors of childhood cancer (CCS) and hematopoietic stem cell transplantation (HSCT) recipients are at increased risk of human papillomavirus (HPV)-associated malignancies. Although HPV vaccination is recommended for these groups, parental acceptance remains uncertain.

Procedure: We recruited caregivers of female CCS/HSCT aged ≥9 years from the Shanghai Children's Medical Center (SCMC) vaccination clinic.

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East, South, and Southeast Asia (together referred to as Southeastern Asia hereafter) have been recognized as critical areas fuelling the global circulation of seasonal influenza. However, the seasonal influenza migration network within Southeastern Asia remains unclear, including how pandemic-related disruptions altered this network. We leveraged genetic, epidemiological, and airline travel data between 2007-2023 to characterise the dispersal patterns of influenza A/H3N2 and B/Victoria viruses both out of and within Southeastern Asia, including during perturbations by the 2009 A/H1N1 and COVID-19 pandemics.

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Purpose: To evaluate the efficacy and subjects' perception of the Modified Schirmer Test (MST) to the traditional Unstimulated Salivary Flow Test (USFT) when measuring salivary flow rate for screening and monitoring patients' dry mouth.

Methods: A total of 100 subjects were enrolled including subjects with and without dry mouth. All subjects answered a brief self-reported survey about dry mouth before and after the two types of saliva tests and their preference for the type of test administered.

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CDK2 and CDK9 play pivotal roles in cell cycle progression and gene transcription, respectively, making them promising targets for cancer treatment. Herein, we discovered a series of -(substituted thiazol-2-yl)--(4-substituted phenyl)pyrimidine-2,4-diamines as highly potent CDK2/9 dual inhibitors. Especially, compound significantly inhibited CDK2 (IC = 0.

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Broadcast ephemeris data are essential for the precision and reliability of the BeiDou Navigation Satellite System (BDS) but are highly susceptible to anomalies caused by various interference factors, such as ionospheric and tropospheric effects, solar radiation pressure, and satellite clock biases. Traditional threshold-based methods and manual review processes are often insufficient for detecting these complex anomalies, especially considering the distinct characteristics of different satellite types. To address these limitations, this study proposes an automated anomaly detection method using the IF-TEA-LSTM model.

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