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Quasi-real-time estimation of Global Horizontal Irradiance (GHI) is a key parameter for many solar energy applications. We propose the use of a deep belief network (DBN) to estimate GHI under all-sky conditions derived from Himawari-8 satellite images with a high accuracy and high efficiency, and a high spatial and time resolution for a large geographical area. The DBN solver for GHI (DBN-GHI) is based upon a radiative transfer model, Santa Barbara Discrete Ordinate Radiative Transfer (SBDART), to maintain the balance between computational efficiency and accuracy. The computational time of DBN-GHI for one satellite image with more than 400,000 pixels is around 9 seconds. Aerosol was considered as the main attenuation factor for clear skies, while cloud parameters were used for cloudy-sky GHI estimation. The main novelty of this research is that prior to it, there is a dearth of GHI estimations in China at minutely or hourly intervals in all sky conditions. The results of hourly comparison of this with ground-based observations gave a very good Pearson correlation coefficient (r), above 0.95, with a Root-Mean-Square-Error (RMSE) between about 30 to 80 w m−2. [ABSTRACT FROM AUTHOR]

Histology slide, tissue microbes, and the host gene expression can be independent prognostic factors of colorectal cancer (CRC), but the underlying associations and biological significance of these multimodal omics remain unknown. Here, we comprehensively profiled the matched pathological images, intratumoral microbes, and host gene expression characteristics in 527 patients with CRC. By clustering these patients based on histology slide features, we classified the patients into two histology slide subtypes (HSS). Onco‐microbial community and tumor immune microenvironment (TIME) were also significantly different between the two subtypes (HSS1 and HSS2) of patients. Furthermore, variation in intratumoral microbes–host interaction was associated with the prognostic heterogeneity between HSS1 and HSS2. This study proposes a new CRC classification based on pathological image features and elucidates the process by which tumor microbes–host interactions are reflected in pathological images through the TIME. [ABSTRACT FROM AUTHOR]

Background: Adoptive cell therapy has achieved great success in treating hematological malignancies. However, the production of chimeric antigen receptor T (CAR-T) cell therapy still faces various difficulties. Natural killer (NK)-92 is a continuously expandable cell line and provides a promising alternative for patient's own immune cells. Methods: We established CAR-NK cells by co-expressing natural killer group 2 member D (NKG2D) and IL-21, and evaluated the efficacy of NKG2D-IL-21 CAR-NK cells in treating lung cancer in vitro and in vivo. Results: Our data suggested that the expression of IL-21 effectively increased the cytotoxicity of NKG2D CAR-NK cells against lung cancer cells in a dose-dependent manner and suppressed tumor growth in vitro and in vivo. In addition, the proliferation of NKG2D-IL-21 CAR-NK cells were enhanced while the apoptosis and exhaustion of these cells were suppressed. Mechanistically, IL-21-mediated NKG2D CAR-NK cells function by activating AKT signaling pathway. Conclusion: Our findings provide a novel option for treating lung cancer using NKG2D-IL-21 CAR-NK cell therapy. [ABSTRACT FROM AUTHOR]