Rapid droplet shedding from surfaces is fundamentally interesting and important in numerous applications such as anti‐icing, anti‐fouling, dropwise condensation, and electricity generation. Recent efforts have demonstrated the complete rebound or pancake bouncing of impinging droplets by tuning the physicochemical properties of surfaces and applying external control, however, enabling sessile droplets to jump off surfaces in a bottom‐to‐up manner is challenging. Here, the rapid jumping of sessile droplets, even cold droplets, in a pancake shape is reported by engineering superhydrophobic magnetically responsive blades arrays. This largely unexplored droplet behavior, termed as pancake jumping, exhibits many advantages such as short interaction time and high energy conversion efficiency. The critical conditions for the occurrence of this new phenomenon are also identified. This work provides a new toolkit for the attainment of well‐controlled and active steering of both sessile and impacting droplets for a wide range of applications.

Environmental tobacco smoke (ETS) and ambient air fine particulate matter (PM2.5) are both complex mixtures that have important adverse effects on the cardiovascular system. Although exposures to these complex mixtures have been studied individually, direct comparisons between the two has not been performed. In this study, the authors employed a novel, noninvasive ultrasound biomicroscopy method (UBM) to assess the effects of long-term, low-concentration inhalations of side-stream smoke (SS) and concentrated ambient PM2.5 (CAPs) on plaque progression. ApoE−/− mice (n = 8/group) on high-fat chow (HFC), or normal chow (NC), were exposed to SS (PM = 450 μg/m3) or filtered air (FA) for 6 h/day, 5 days/week, for 6 months; CAPs exposure was at 134 μg/m3 (NC only). Mortality during the SS exposure was greater in the HFC than in the NC, and SS significantly enhanced the effects of diet. No mortality was observed in CAPs-exposed mice. At 4 and 6 months, SS produced the greatest change in plaque area in the left common carotid artery (CCA) in HFC as compared to FA or NC, but not in the brachiocephalic artery. In contrast, CAPs exposure significantly enhanced plaque areas in brachiocephalic and left CCA at 3 and 6 months of exposure. The effect of SS was comparable in magnitude to that produced by CAPs at an average PM2.5 mass concentration that was only 30% as high. In light of the employment of the same animal model, uniform inhalation exposure protocols, time schedules, a noninvasive monitoring protocol, and a parallel study design, these findings have broad applicability.

Bone marrow smear examination is an indispensable diagnostic tool in the evaluation of hematological diseases, but the process of manual differential count is labor extensive. In this study, we developed an automatic system with integrated scanning hardware and machine learning-based software to perform differential cell count on bone marrow smears to assist diagnosis. The initial development of the artificial neural network was based on 3000 marrow smear samples retrospectively archived from Sir Run Run Shaw Hospital affiliated to Zhejiang University School of Medicine between June 2016 and December 2018. The preliminary field validating test of the system was based on 124 marrow smears newly collected from the Second Affiliated Hospital of Harbin Medical University between April 2019 and November 2019. The study was performed in parallel of machine automatic recognition with conventional manual differential count by pathologists using the microscope. We selected representative 600,000 marrow cell images as training set of the algorithm, followed by random captured 30,867 cell images for validation. In validation, the overall accuracy of automatic cell classification was 90.1% (95% CI, 89.8–90.5%). In a preliminary field validating test, the reliability coefficient (ICC) of cell series proportion between the two analysis methods were high (ICC ≥ 0.883, P < 0.0001) and the results by the two analysis methods were consistent for granulocytes and erythrocytes. The system was effective in cell classification and differential cell count on marrow smears. It provides a useful digital tool in the screening and evaluation of various hematological disorders.

The synthesis process of the silicone ternary copolymer.

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