Publications by authors named "Mubasher Saleem"

Article Synopsis
  • - Robotics and AI are crucial in creating assistive technologies for people with motor disabilities, particularly through Brain-Computer Interfaces (BCI), which enable communication by translating brain signals into external commands.
  • - A novel framework has been developed to accurately classify binary-class electroencephalogram (EEG) data, utilizing techniques like independent component analysis (ICA) and common spatial pattern (CSP) for preprocessing and feature extraction.
  • - The framework showed impressive results, achieving classification accuracies of 90.42% and 95.42% on two different BCI competition datasets using logistic regression, demonstrating potential for real-time BCI applications and future adaptability for multi-class scenarios.
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This paper presents the design and analysis of a multi degree of freedom (DOF) electro-thermally actuated non-resonant MEMS gyroscope with a 3-DOF drive mode and 1-DOF sense mode system. The 3-DOF drive mode system consists of three masses coupled together using suspension beams. The 1-DOF system consists of a single mass whose motion is decoupled from the drive mode using a decoupling frame.

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. Brain computer interface (BCI) is a combination of software and hardware communication protocols that allow brain to control external devices. Main purpose of BCI controlled external devices is to provide communication medium for disabled persons.

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Donor livers available to transplant for patients with end-stage liver disease are in severe shortage. One possible avenue to expand the donor pool is to recondition livers that would be otherwise discarded due to excessive fat content. Severely steatotic livers (also known as fatty livers) are highly susceptible to ischemia-reperfusion injury and as a result, primary liver non-function post-transplantation.

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Methods that rapidly decrease fat in steatotic hepatocytes may be helpful to recover severely fatty livers for transplantation. Defatting kinetics are highly dependent upon the extracellular medium composition; however, the pathways involved are poorly understood. Steatosis was induced in human hepatoma cells (HepG2) by exposure to high levels of free fatty acids, followed by defatting using plain medium containing no fatty acids, or medium supplemented with a cocktail of defatting agents previously described before.

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