Major depressive disorder (MDD) is highly prevalent, recurrent, and associated with functional impairment, morbidity, and mortality. Herein, we aimed to identify disruptions in functional connectomics among subjects with MDD by using resting-state functional magnetic resonance imaging (rs-fMRI). Sixteen subjects with MDD and thirty health controls completed resting-state fMRI scans and clinical assessments (e.g., Hamilton Depression Rating Scale (HAMD) and Hospital Anxiety and Depression Scale (HADS)). We found higher amplitude of low frequency fluctuations (ALFF) bilaterally in the hippocampus and amygdala among MDD subjects when compared to healthy controls. Using graph theoretical analysis, we found decreased clustering coefficient, local efficiency, and transitivity in the MDD patients. Our findings suggest a potential biomarker for differentiating individuals with MDD from individuals without MDD.
Abstract. This paper presents an automatic inspection robot for insulators installed on 500kV power transmission lines. In order to detect the poor insulators automatically, the robot's behaviors are analyzed, and a behavior control model based on Finite State Machine (FSM) is established. Moreover, an exception handling method is proposed based on sensors and timers. The results of experiments in the laboratory prove that the control methods mentioned above are correct and valid. Experiments on a 500kV transmission live line show that the inspection robot can not only automatically move along the double insulator strings with variable intervals, but also reliably handle the abnormal conditions including slipping, power shortage, deadlocking, sensor abnormity, and probe loosening.
The importance of case-retrieving method selection in the CBR system is analyzed, and the defaults of traditional retrieving methods which make use of fuzzy distance to describe the distance in the similar cases are pointed out. A model for case- retrieving based on AHP is presented after the introduction of the basic principle and process of CBR and AHP. With the development environment of CGI, a prototype system is developed, and the running interface is shown.
Image is one of the most important carriers for communication in our life, and it’s the utmost medium containing information. As all we known, the data quantity of digital image is so large that it should be compressed for high-speed transmission and store. So image encoding has become one of the key technologies on which the digital society depends.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.