This study investigated associative recognition memory by using unique features of the Chinese language and the underlying neuroanatomical correlates. The study participants were 22 Chinese speakers with mild cognitive impairment (MCI) and 25 cognitively normal (CN) Chinese speakers. The results revealed that the MCI group demonstrated impaired associative memory performance, despite exhibiting...

Diverse image-based tracking schemes for a robot moving in free motion have been proposed and experimentally validated. However, few visual servoing schemes have addressed the tracking of the desired trajectory and the contact forces for multiple robot arms. The main difficulty stems from the fact that camera information cannot be used to drive force trajectories. Recognizing this fact, a uniqu...

High-throughput antibody repertoire sequencing (Ig-seq) provides quantitative molecular information on humoral immunity. However, Ig-seq is compromised by biases and errors introduced during library preparation and sequencing. By using synthetic antibody spike-in genes, we determined that primer bias from multiplex polymerase chain reaction (PCR) library preparation resulted in antibody frequen...

computational errors in numerical data processing may be detected efficiently by using parity values associated with real number codes, even when inherent round off errors are allowed in addition to failure disruptions. this paper examines correcting turbo codes by straightforward application of an algorithm derived for finite-field codes, modified to operate over any field. there are syndromes...

In dynamic linear models (DLMs) with unknown fixed parameters, a standard Markov chain Monte Carlo (MCMC) sampling strategy is to alternate sampling of latent states conditional on fixed parameters and sampling of fixed parameters conditional on latent states. In some regions of the parameter space, this standard data augmentation (DA) algorithm can be inefficient. To improve efficiency, we app...