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The four α-cobalt hydroxides (green or blue) with different intercalated anions were synthesized by a chemical precipitation route in which polyethylene glycol was used as the structure-directing reagent for application in the electrode materials of electrochemical capacitors. Every one among the four samples displays an interesting and distinctive morphology although the synthesis conditions were the same except for the anions. The intercalated anions have a critical effect on the basal plane spacing, morphologies, and capacitive properties of the products. Structural and morphological characterizations were performed by using power X-ray diffraction (XRD) and field emission scanning electron microscopy (FESEM). The component and thermal stability of the sample were respectively measured by FT-IR and thermal analyses, including thermogravimetry (TG) and differential thermogravimetry (DTG). The electrochemical behaviors were measured by cyclic voltammogram and galvanostatic charge−discharge. The specific capacitance is up to 697 F g−1 at a charge−discharge current density of 1 A g−1 for the sample with intercalated chlorine. But the sample with intercalated sulfate, which has small crystalline size, more disordered structure, and almost perfect alveolate nanostructure with a large surface area, exhibits relatively poor specific capacitance (420 F g−1). The exceptive phenomena caused by intercalated anions were explained by hydrogen bonding and electrostatic forces. Moreover, the relationships between the specific capacitance, basal plane spacing, as well as the content of the interlayer water were discussed in detail for the four as-synthesized samples.

Graphene sheets modified by phenylacetylene moieties provide a facile platform for attaching various photoactive functional molecules via"click" chemistry. The produced photoactive graphene materials are well-dispersed in various solvents and show dramatically improved photo-current responses.

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Recently, studies based on time-varying functional connectivity have unveiled brain states diversity in some neuropsychiatric disorders, such as schizophrenia and major depressive disorder. However, time-varying functional connectivity analysis of resting-state functional Magnetic Resonance Imaging (fMRI) have been rarely performed on the Autism Spectrum Disorder (ASD). Hence, we performed time-varying connectivity analysis on resting-state fMRI data to investigate brain states mutation in ASD children. ASD showed an imbalance of connectivity state and aberrant ratio of connectivity with different strengths in the whole brain network, and decreased connectivity associated precuneus/posterior cingulate gyrus with medial prefrontal gyrus in default mode network. As compared to typical development children, weak relevance condition (the strength of a large number of connectivities in the state was less than means minus standard deviation of all connection strength) was maintained for a longer time between brain areas of ASD children, and ratios of weak connectivity in brain states varied dramatically in the ASD. In the ASD, the abnormal brain state might be related to repetitive behaviors and stereotypical interests, and macroscopically reflect disruption of gamma-aminobutyric acid at the cellular level. The detection of brain states based on time-varying functional connectivity analysis of resting-state fMRI might be conducive for diagnosis and early intervention of ASD before obvious clinical symptoms.

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