Publications by authors named "S Haharbano Rostami"

Acute myeloid leukemia (AML) is the most frequent type of leukemia among adults. Investigating AML heterogeneity based on DNA methylation can improve clinical diagnosis and prognosis. This study was conducted to investigate and gene methylation in fifty newly diagnosed AML patients and fifty healthy controls using Methyl specific PCR (MSP).

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This article presents a novel data-driven methodology designed to enhance the resilience of distributed DC microgrids against various cyber attacks, including Fault Detection and Isolation (FDI) attacks, Denial of Service (DoS) attacks, and delay attacks. A Transformer-based Kalman Filter (TKF) estimator was developed to predict the transmission of signals based on local measurements, addressing the challenges posed by noisy data environments. The proposed approach integrates an AutoRegressive Integrated Moving Average (ARIMA) model to formulate a state-space representation of the microgrid, while leveraging the strengths of deep learning techniques, particularly through the combination of transformers and Long Short-Term Memory (LSTM) networks, for effective high-dimensional data extraction.

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This work reports on the design and characterization of a tunable lens with a planar aperture that employs liquid channels to perform phase-based beamforming. The desired phase patterns are produced using specific speed-of-sound profiles and can be flexibly configured for a range of frequencies and beam types without changes to its shape or structure. Measurements of the fields show that the lens performs comparably to stepped designs, such as the fraxicon, for a range of focal configurations.

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Exosomes are small extracellular vesicles of endocytic origin released by various cell types. They consist of lipid bilayers containing macromolecules such as lipids, proteins, microRNAs, growth factors, cytokines, and carbohydrates. Exosomes play a critical role in the diagnosis and treatment of various diseases.

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