Publications by authors named "R Zeng"

The cerebrospinal fluid (CSF) border accommodates diverse immune cells that permit peripheral cell immunosurveillance. However, the intricate interactions between CSF immune cells and infiltrating cancer cells remain poorly understood. Here we use fate mapping, longitudinal time-lapse imaging and multiomics technologies to investigate the precise origin, cellular crosstalk and molecular landscape of macrophages that contribute to leptomeningeal metastasis (LM) progression.

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Objective: To construct a nomogram prediction model for 28-day mortality in septic shock patients based on routine laboratory data mining and verify its predictive value.

Methods: The clinical data of patients with septic shock admitted to Anhui Medical University Affiliated Fuyang Hospital from January 2018 to November 2023 were retrospectively analyzed. The patients were randomly divided into training set and validation set according to the ratio of 8 : 2.

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In situ measurement of nitric oxide (NO) in living tissue and single cells is highly important for achieving a profound comprehension of cellular functionalities and facilitating the precise diagnosis of critical diseases; however, the progress is greatly hindered by the weak affinity of ultratrace concentration NO in cellular environment toward electrocatalysts. Herein, a new strategy is reported for precisely constructing orbital coupled dual-atomic sites to enhance the affinity between the metal atomic sites and NO on a class of N-doped hollow carbon matrix dual-atomic sites Co─Ni (CoNi-NC) for greatly boosting electrocatalytic NO performance. The as-synthesized CoNi-NC demonstrates a substantially higher current density than Ni-NC and Co-NC, coupled with exceptional stability with a negligible degradation rate of 0.

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Metal halide luminescent materials, particularly those doped with ns ions, exhibit exceptional optical properties. However, the luminescent mechanisms associated with the stereochemical activity of lone-pair electrons remain insufficiently explored. In this study, zero-dimensional (0D) tin-based halide (CHN)SnCl is utilized as a model system to investigate the effects of lattice distortion and lone-pair electron expression on fluorescence emission characteristics by doping with 6s and 5s ions.

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Citrus fruits are widely consumed for their nutritional value and taste; however, juice sac granulation during fruit storage poses a significant challenge to the citrus industry. This study used Raman spectroscopy coupled with machine learning algorithms to rapidly, non-destructively, and precisely detect citrus granulation. The investigation analyzed 969 Raman spectral data points, comprising 714 non-granulated and 255 granulated citrus samples.

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