These results indicate that the augmentation of reward by food restriction extends to drugs that bypass the DA terminal and act postsynaptically. When taken together with prior immunohistochemical and behavioral findings, these results suggest that food restriction may increase the "enabling" effect of the D1 receptor on DA-mediated behaviors.
While the reported DA-independence of deltorphin-II rewarding effects seemed to offer a means of testing the hypothesis that DA transmission is the critical modulated variable in food-restricted subjects, rewarding effects of this compound could not be demonstrated in the LHSS paradigm. The present results do, however, confirm and extend prior findings indicating that the enhanced self-administration of abused drugs by food-restricted subjects is due to enhanced sensitivity of a final common pathway for drug reward.
These results indicate that agonist activity at MCRs potentiates amphetamine reward and that the anorexigenic neuropeptide alpha-MSH may exert this effect physiologically.
In this article, the authors introduce a new algorithm to identify adult images that can effectively filter out images of naked human bodies in the internet. The algorithm detects eyes, which are known as the most salient component of a human face, and makes a statistical skin color distribution model directly from each input image by choosing reliable skin samples in facial areas near the detected eyes. Skin areas over the entire image are segmented robustly with the online constructed skin color model. The authors then extract a set of representative features characterizing naked bodies from the segmented skin areas and verify if the skin regions contain naked bodies through multilayer perceptron neural networked-based learning and inference of the representative features. Experimental results are given to demonstrate that the proposed adult image detection method can identify various types of nude images effectively compared to other conventional methods.
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