The main goal of this paper is to identify last speckle images rapidly. Digital image processing techniques are employed to analyze the characteristics of laser speckle images and match them up to achieve laser speckle image identification. Besides the database is built to accelerate the identification process and further enhance its practicability. In terms of building the database, Gabor filter is utilized to enhance the extracted characteristics as well as to generate the feature vectors. The final step is adopting K-means clustering to build the classification model of feature vectors. The process of identifying laser speckle images is described as follows. Through experiments we observed that scale invariant feature transform (SIFT) can extract features of laser speckle images very well. However the drawback is that it took too much time to compute and match up those features, which is not suitable for fast laser speckle identification. Therefore the proposed method took enhance SIFT as backbone. Experimental results demonstrate that the retrieval performance of the proposed method is accurate when the database size contains 516 images.

Sleep disruption is highly associated with the pathogenesis and progression of a wild range of psychiatric disorders. Furthermore, appreciable evidence shows that experimental sleep deprivation (SD) on humans and rodents evokes anomalies in the dopaminergic (DA) signaling, which are also implicated in the development of psychiatric illnesses such as schizophrenia or substance abuse. Since adolescence is a vital period for the maturation of the DA system as well as the occurrence of mental disorders, the present studies aimed to investigate the impacts of SD on the DA system of adolescent mice. We found that 72 h SD elicited a hyperdopaminergic status, with increased sensitivity to the novel environment and Amphetamine (Amph) challenge. Also, altered neuronal activity and expression of striatal DA receptors were noticed in the SD mice. Moreover, 72 h SD in uenced the immune status in the striatum, with reduced microglial phagocytic capacity, primed microglial activation, and neuroin ammation. The abnormal neuronal and microglial activity were putatively provoked by the enhanced corticotrophinreleasing factor (CRF) signaling and sensitivity during the SD period. Together, our ndings demonstrated the consequences of SD in adolescents including aberrant neuroendocrine, DA system, and in ammatory status. Sleep insu ciency is a risk factor for the aberration and neuropathology of psychiatric disorders.

Sleep disruption is highly associated with the pathogenesis and progression of a wild range of psychiatric disorders. Furthermore, appreciable evidence shows that experimental sleep deprivation (SD) on humans and rodents evokes anomalies in the dopaminergic (DA) signaling, which are also implicated in the development of psychiatric illnesses such as schizophrenia or substance abuse. Since adolescence is a vital period for the maturation of the DA system as well as the occurrence of mental disorders, the present studies aimed to investigate the impacts of SD on the DA system of adolescent mice. We found that 72 h SD elicited a hyperdopaminergic status, with increased sensitivity to the novel environment and Amphetamine (Amph) challenge. Also, altered neuronal activity and expression of striatal DA receptors were noticed in the SD mice. Moreover, 72 h SD influenced the immune status in the striatum, with reduced microglial phagocytic capacity, primed microglial activation, and neuroinflammation. The abnormal neuronal and microglial activity were putatively provoked by the enhanced corticotrophin-releasing factor (CRF) signaling and sensitivity during the SD period. Together, our findings demonstrated the consequences of SD in adolescents including aberrant neuroendocrine, DA system, and inflammatory status. Sleep insufficiency is a risk factor for the aberration and neuropathology of psychiatric disorders.