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Practice improves discrimination of many basic visual features, such as contrast, orientation, and positional offset. Perceptual learning of many of these tasks is found to be retinal location specific, in that learning transfers little to an untrained retinal location. In most perceptual learning models, this location specificity is interpreted as a(More)
Location-specific perceptual learning can be rendered transferrable to a new location with double training, in which feature training (e.g., contrast) is accompanied by additional location training at the new location even with an irrelevant task (e.g. orientation). Here we investigated the impact of relevancy (to feature training) and demand of location(More)
The seminal study on perceptual learning of TDT (a texture discrimination task) has greatly shaped the field of perceptual learning up to the present time. However, here we demonstrate that this classic learning mostly involves temporal learning, rather than texture discrimination learning. Specifically, observers first practiced a letter identification(More)
BACKGROUND Cerebrovascular segmentation plays an important role in medical diagnosis. This study was conducted to develop a threshold segmentation algorithm for automatic extraction and volumetric quantification of cerebral vessels on brain magnetic resonance angiography (MRA) images. NEW METHODS The MRA images of 10 individuals were acquired using a 3(More)
Hippocampal CA1 pyramidal neurons are sensitive to ischemic damage. However, the cellular and molecular mechanisms underlying neuronal cell death caused by ischemia-reperfusion (I/R) are not completely clear. Here, we report that the ephrinA/EphA cell-cell interaction signaling pathway plays an important role in the apoptosis of hippocampal CA1 pyramidal(More)
Perceptual learning, a process in which training improves visual discrimination, is often specific to the trained retinal location, and this location specificity is frequently regarded as an indication of neural plasticity in the retinotopic visual cortex. However, our previous studies have shown that "double training" enables location-specific perceptual(More)
β-amyloid (Aβ) deposition is considered partially responsible for cognitive dysfunction in Alzheimer's disease (AD). Recently, resveratrol has been reported to play a potential role as a neuroprotective biofactor by modulating Aβ pathomechanisms, including through anti-neuronal apoptotic, anti-oxidative stress, and anti-neuroinflammatory effects. In(More)
The rapidly growing server energy expenditure and the warning of climate change have forced the IT industry to look at datacenters powered by renewable energy. Existing proposals on this issue yield sub-optimal performance as they typically assume certain specific type of renewable energy sources and overlook the benefits of cross-source coordination. This(More)
Eco-friendly energy sources (i.e. green power) attract great attention as lowering computer carbon footprint has become a necessity. Existing proposals on managing green energy powered systems show sub-optimal results since they either use rigid load power capping or heavily rely on backup power. We propose <i>Chameleon</i>, a novel adaptive green(More)