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HIGHLIGHTS • Metallic cobalt selenide quantum dots encapsulated in mesoporous carbon matrix were prepared via a direct hydrothermal method. • The cobalt selenide/carbon composite (Co 0.85 Se-QDs/C) possesses tertiary hierarchical structure, which is the primary quantum dots, the secondary petals flake, and the tertiary hollow micropolyhedron framework. • Benefiting from this tertiary hierarchical structure, the Co 0.85 Se-QDs/C electrode as potassium-ion batteries anode shows an outstanding K-storage performance.

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Nowadays, rubber nanocomposites filled with graphene are endowed with promising future, because graphene has unique and outstanding mechanical, electrical, and thermal properties. This article summarizes the preparation and functionalization of graphene, and introduces the preparation, properties, and the latest achievement of graphene/rubber nanocomposites. Meanwhile it draws conclusions about factors that influence the properties of graphene‐based rubber composites. Finally, it gives the outlook and prospect about the development of graphene‐based rubber nanocomposites in future. POLYM. COMPOS., 39:1006–1022, 2018. © 2016 Society of Plastics Engineers

Objective: To compare the efficacy of autologous serum (AS) eye drops and artificial tears (AT) in dry eye disease (DED). Methods: Five databases (PubMed, Science Direct, the Cochrane Library, the Chinese National Knowledge Infrastructure, and the Wanfang Database) were searched for randomized controlled trials (RCTs). Efficacy was evaluated in terms of the Ocular Surface Disease Index (OSDI), Schirmer I test, tear break-up time (TBUT), and fluorescein and rose bengal staining of ocular surface. The estimated effects of AS or AT were expressed as a proportion with the 95% confidence interval and plotted on a forest plot. Results: Seven RCTs with 267 subjects were included in the meta-analysis. For most of the studies, subjects' age was around 50 years old, and the mostly treatment duration was within 8 weeks. The followup results showed that the OSDI after AS treatment was lower than that after the AT treatment: the mean difference (MD) was-10.75 (95% CI,-18.12;-3.39) points. There was no difference on the Schirmer I test after treatment between the two groups: the MD was 1.68 (95% CI,-0.65; 4.00) mm. The TBUT of the AS group was longer than that of the AT group, with an MD of 4.53 (95% CI, 2.02; 7.05) s. There was no statistically significant difference on fluorescein staining score of the ocular surface between the AS group and the AT group, the MD was-2.53 (95% CI,-6.08; 1.03) points. The rose bengal staining score of the AS group was slightly lower than that of the AT group after treatment: the MD was-0.78 (95% CI,-1.34;-0.22) points. Conclusion: AS could be an effective treatment for DED, improving OSDI, TBUT, and rose bengal staining score. Further RCTs with large samples and longterm follow-up are still needed to determine the exact role of AS in the management of DED.

With recent advances in resolution and field-of-view, spatially resolved sequencing has emerged as a cutting-edge technology that provides a technical foundation for interpreting large tissues at the spatial single-cell level. To handle the high-resolution spatial omics dataset with associated images and generate spatial single-cell level gene expression, a powerful one-stop toolbox is required. Here, we propose StereoCell, an image-facilitated cell segmentation framework for high-resolution and large field-of-view spatial omics. StereoCell offers a comprehensive and systematic solution to generating high-confidence spatial single-cell data, including image stitching, registration, nuclei segmentation, and molecule labeling. In image stitching and molecule labeling, StereoCell delivers the best-performing algorithms to reduce stitching error and improve the signal-to-noise ratio of single-cell gene expression compared to existing methods. Meanwhile, as demonstrated using mouse brain, StereoCell has been shown to obtain high-accuracy spatial single-cell data, which facilitates clustering and annotation.

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