Arash Akhlaghi

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Reverse transcription quantitative PCR (RT—qPCR) is one of the best methods for the study of mesenchymal stem cell (MSC) differentiation by gene expression analysis. This technique needs appropriate reference or housekeeping genes (HKGs) to normalize the expression of the genes of interest. In the present study the expression stability of six widely(More)
Users with cognitive impairments use assistive technology (AT) as part of a clinical treatment plan. As the AT interface is manipulated, data stream mining techniques are used to monitor user goals. In this context, real-time data mining aids clinicians in tracking user behaviors as they attempt to achieve their goals. Quality metrics over stream-mined(More)
This paper describes how quality metrics over streammined models can identify potential changes in user goal attainment, as a user learns a personalized emailing system. A sequence of mined models is generated from sequential segments of logged user email commands. When the quality of some models varies significantly from nearby models—as defined by quality(More)
We demonstrate the use of sequence pattern mining as applied to monitoring the usage of emailing software by clients with cognitive impairments. We show how Max Motif, a sequence-mining algorithm, can be applied using a stream-mining approach. Consequently, clinicians can now consider sequential patterns in their analysis of client emailing behaviors. Such(More)
BACKGROUND The polymorphisms of cytochrome P450 2C19 (CYP2C19) gene are major prognostic factors for the response to clopidogrel therapy in patients with coronary artery diseases (CAD). The CYP2C19*2 is the most important allele responsible for resistance to clopidogrel therapy. This study examined CYP2C19 gene polymorphism (CYP2C19*1 and *2) in Iranian(More)
This paper proposes a novel hybrid approach for islanding detection of inverter-based distributed generations (DG) based on combination of the Slip mode frequency-shift (SMS) as an active and rate of change of frequency (ROCOF) relay and over/under frequency relay as passive methods. This approach is utilized to force the DG to lose its stable operation and(More)
Date stream mining techniques can be used in tracking user behaviors as they attempt to achieve their goals. Quality metrics over stream-mined models identify potential changes in user goal attainment. When the quality of some data mined models varies significantly from nearby models—as defined by quality metrics—then the user’s behavior is automatically(More)