Multi-Task Collaborative Network: Bridge the Supervised and Self-Supervised Learning for EEG Classification in RSVP Tasks

Electroencephalography (EEG) datasets are characterized by low signal-to-noise signals and unquantifiable noisy labels, which hinder the classification performance in 7gm pravana rapid serial visual presentation (RSVP) tasks.Previous approaches primarily relied on supervised learning (SL), which may result in overfitting and reduced generalization

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Automatic differentiation between Veress needle events in laparoscopic access using proximally attached audio signal characterization

The access to the abdomen and the creation of a pneumoperitoneum is an initial and particularly critical step of minimally invasive laparoscopic procedures.Insertion instruments such as the Veress needle need to be introduced blindly into the abdominal cavity, which is associated with inadvertent visceral and vascular injuries.To ensure safe positi

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Prevalence and risk factors of hepatitis B and C virus infections in an impoverished urban community in Dhaka, Bangladesh

Abstract Background Viral hepatitis is a serious global public health problem affecting billions of people globally, and both hepatitis B virus (HBV) and hepatitis C virus (HCV) infections are rapidly spreading in the developing countries including Bangladesh due to the lack of health education, poverty, illiteracy and lack of hepatitis B vaccinati

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