Alzheimer’s disease (AD) is a chronic neurodegenerative disease causing progressive impairment of memory and cognitive function. Streptozotocin (STZ) injection into the brain is known to cause cognitive impairment in rats and is similar to sporadic AD in humans. Several lines of evidence have indicated that an inflammatory process contributes to the pathology of AD. On the basis of the results ...

Alzheimer’s disease (AD) is a chronic neurodegenerative disease causing progressive impairment of memory and cognitive function. Streptozotocin (STZ) injection into the brain is known to cause cognitive impairment in rats and is similar to sporadic AD in humans. Several lines of evidence have indicated that an inflammatory process contributes to the pathology of AD. On the basis of the results ...

This study investigates the merits of employing active learning strategies in the delivery of information literacy instruction (ILI). Traditional approaches to the teaching of information literacy skills – where students are passive recipients of the information they receive – are challenged. Rather, methods that encourage students to actively engage themselves in the learning process are posit...

Compared to children, adults are bad at learning language. This is counterintuitive; adults outperform children on most measures of cognition, especially those that involve effort (which continue to mature into early adulthood). The present study asks whether these mature effortful abilities interfere with language learning in adults and further, whether interference occurs equally for aspects ...

conclusions these data suggest that single bilateral microinjection of aβ (25-35) could impair memory and can be used as an ad model in wistar rats. results the results showed that aβ (25-35) significantly impaired both step-through latency and time in dark compartment in the passive avoidance task. background alzheimer's disease (ad) is the most common form of dementia that leads to neurotoxic...

Online Passive-Aggressive (PA) learning is an effective framework for performing max-margin online learning. But the deterministic formulation and estimated single large-margin model could limit its capability in discovering descriptive structures underlying complex data. This paper presents online Bayesian Passive-Aggressive (BayesPA) learning, which subsumes the online PA and extends naturall...

This research is concerned with learning a model of a user’s behaviour to accurately make predictions that reflect the user’s decision making process. We focus on learning the user’s preferences or utility function in a passive setting and extend previous approaches by allowing for both trade-offs and conditional preferences. We investigate suitable preference representation methods, and frame ...