Objectives. This study was designed to assess the extent to which 7 traditional and novel predictors contribute to overall pharmacy grade point average (pharmacy GPA), first through third year pharmacy GPA (1-3 year GPA), and clerkship GPA of pharmacy students. Methods. This investigation used a convenience sample and a blinded retrospective record review of the first 3 class years of Doctor of...

Background & aim: Aggression is a phenomenon that causes irreversible damage to a community. Psychodynamic theory suggests that aggression is rooted in early relationships with family members, especially mother. According to this theory, infant-mother relationship is a major predictor of an individual’s behavior from childhood to adulthood. This study aimed to investigate the correlation betwee...

One important challenge with networked systems is that communication delays can significantly deteriorate system performance. This paper considers a model-free predictor framework to compensate for communication delays and improve networked system performance, where the term "model-free" indicates that the predictor does not need to know the dynamic equations governing the system. Stability ana...

The TAGE predictor [12] is considered as one of the most storage effective global branch/path history predictors. It has been shown that associated with small adjunct predictors like a statistical corrector (SC for short) and/or a loop predictor (L for short) [11, 10], TAGE can even be more effective. In this study, we explore the performance limits of these TAGE-SC-L predictors for respectivel...

This paper proposes a cascaded RLS-LMS predictor for lossless audio coding. In this proposed predictor, a high-order LMS predictor is employed to model the ample tonal and harmonic components of the audio signal for optimal prediction gain performance. To solve the slow convergence problem of the LMS algorithm with colored inputs, a low-order RLS predictor is cascaded prior to the LMS predictor...