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This study focuses on the fault identification of the pneumatic bellows valve. This valve plays an essential role in regulating system pressure to ensure the smooth progress of the tritium removal process. To conduct research on the health status of the pneumatic bellows valve and to timely identify potential faults and anomalies, we developed a dedicated experimental platform and assessed the performance of various deep learning models, including recurrent neural networks (RNNs), single‐layer long short–term memory networks (LSTMs), double‐layer LSTM, multilayer LSTM, single‐layer gated recurrent unit (GRU), and bidirectional GRU, in valve fault identification. The experimental outcomes reveal that the RNN and bidirectional GRU models exhibit superior performance in terms of accuracy and model fit, particularly in scenarios involving normal valve operations, valve leakage faults, and valve head contact faults. These findings offer new perspectives and methodologies for the detection and prevention of valve faults, contributing to the operational stability and safety of bellows valves.

Medical distrust is a potent barrier to participation in HIV care and medication use among African American/Black and Latino (AABL) persons living with HIV (PLWH). However, little is known about sociodemographic and risk factors associated with distrust. We recruited adult AABL PLWH from low socio-economic status backgrounds with insufficient engagement in HIV care ( N = 512). Participants completed structured assessments on three types of distrust (of health care providers, health care systems, and counter-narratives), HIV history, and mental health. We used a type of machine learning called random forest to explore predictors of trust. On average, participants were 47 years old ( SD = 11 years), diagnosed with HIV 18 years prior ( SD = 9 years), and mainly male (64%) and African American/Black (69%). Depression and age were the most important predictors of trust. Among those with elevated depressive symptoms, younger participants had less trust than older, while among those without depression, trust was greater across all ages. The present study adds nuance to the literature on medical distrust among AABL PLWH and identifies junctures where interventions to build trust are needed most.