This paper studies an adaptive fuzzy fixed-time tracking control problem for the two-joint robotic manipulator with input deadzone saturation and time-varying delay. By employing auxiliary signals to compensate for the effects of time-varying delay, ... read more
BACKGROUND: Surfactant replacement therapy is central to respiratory distress syndrome (RDS) management in preterm infants, which can be delivered using a variety of methods. Less invasive surfactant administration (LISA) has been increasingly adopte... read more
Education is being transformed by rapid advances in Artificial Intelligence (AI), including emerging Generative Artificial Intelligence (GAI). Such technology can significantly support academics and students by automating monotonous tasks and making ... read more
Pediatric asthma (PA) is a chronic airway disease with a complex etiology, and iron metabolism disorder is believed to be involved in its pathogenesis. In this study, we integrated three peripheral blood transcriptome datasets from the GEO database (... read more
Pest-related crop losses pose a critical threat to food security and sustainable agriculture, especially in apple orchards where the codling moth (Cydia pomonella) is a major concern. This study introduces an advanced pest monitoring system that inte... read more
BACKGROUND: Large language models (LLMs) are increasingly used by employees at university hospitals for information retrieval or decision support. Self-hosted on-premise systems provide a secure environment and conform to data privacy and security re... read more
MOTIVATION: Global population aging has led to a rapid increase in neurodegenerative disorders such as alzheimer's disease (AD). Although existing drugs can temporarily alleviate symptoms, none have been proven to delay or prevent disease progression... read more
MOTIVATIONS: Electroencephalography (EEG) is a non-invasive method that records brain electrical activity from scalp electrodes, offering millisecond temporal resolution but limited spatial detail due to sparse sensor layouts. RESULTS: We present DiB... read more
Gait is a key indicator for assessing an individual's mobility and overall health, and accurate detection of gait cycle phases is essential for precise gait analysis. Most existing gait phase detection approaches rely on multiple wearable sensors, in... read more
Physiological and pathological processes are governed by networks of genes called gene regulatory networks (GRNs). By reconstructing GRNs, we can accurately model how cells behave in their natural state and predict how genetic changes will affect the... read more
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