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Objective To investigate the effect of mindfulness-based decompression combined with music therapy on negative emotions, sleep quality and quality of life of patients in cabin hospital. Methods A total of 180 patients with infection of COVID-19 Omicron variant admitted to Jilin Cabin Hospital from April 1 to 10, 2022 were recruited as the research objects. They were randomly divided into control group and observation group, 90 cases in each group. The observation group was set into Ward A and received routine nursing management, and the control group was set into Ward B and received mindfulness decompression combined with music therapy on the basis of routine nursing care. After 10 days'intervention, the results of their negative emotions [Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS)], sleep quality [Pittsburgh Sleep Quality Index (PSQI)], quality of life [the MOS 36 item short form health survey (SF-36)] and nursing satisfaction were compared between the 2 groups. Results After intervention, the SAS (44.27±4.37 vs 49.52±4.83) and SDS scores (43.91±4.32 vs 48.34±4.78), and the score of each dimension and total score (5.72±1.04 vs 7.89±1.21) of PSQI were significantly lower in the observation group than the control group (all P < 0.05). The observation group had obviously higher score of each dimension and total score of SF-36, and increased total nursing satisfaction (95.56 % vs 86.67%) when compared with the control group (P < 0.05). Conclusion Mindfulness decompression combined with music therapy is a better psychological intervention method, with the advantages of improving negative emotions, sleep quality and quality of life in Covid-19 patients in the hospital.

Various reports revealed that chemical constituents from many species of Rubus exhibit diverse biological activities. In this study, a novel flavonoid with a 2-(phenanthren-9-yl)-4H-chromen-4-one structure (1), a 5-phenylthiophene-2-carbaldehyde derivative (5) first isolated from a natural source, together with five known compounds including three polyketides (2–4) and two sesquiterpenoids (6–7) were isolated from a traditional Chinese medicine Rubus rosifolius S.Vidal (Rosaceae). The structures of new compounds were elucidated by detailed spectroscopic analysis including NMR and X-ray single-crystal diffraction. The bioassays results indicated that, compound 1 displayed significant cytotoxicity against human colon cancer cell line HCT116 with IC50 value of 8.6 ± 1.9 μM, and compound 5 exhibited moderate cytotoxicity against human breast cancer cell line MDA-MB-435 with IC50 value of 24.1 ± 0.8 μM. [ABSTRACT FROM AUTHOR]

Land evapotranspiration (ET) plays a crucial role in Earth's water–carbon cycle, and accurately estimating global land ET is vital for advancing our understanding of land–atmosphere interactions. Despite the development of numerous ET products in recent decades, widely used products still possess inherent uncertainties arising from using different forcing inputs and imperfect model parameterizations. Furthermore, the lack of sufficient global in situ observations makes direct evaluation of ET products impractical, impeding their utilization and assimilation. Therefore, establishing a reliable global benchmark dataset and exploring evaluation methodologies for ET products is paramount. This study aims to address these challenges by (1) proposing a collocation-based method that considers non-zero error cross-correlation for merging multi-source data and (2) employing this merging method to generate a long-term daily global ET product at resolutions of 0.1° (2000–2020) and 0.25° (1980–2022), incorporating inputs from ERA5L, FluxCom, PMLv2, GLDAS, and GLEAM. The resulting product is the Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data (CAMELE). CAMELE exhibits promising performance across various vegetation coverage types, as validated against in situ observations. The evaluation process yielded Pearson correlation coefficients (R) of 0.63 and 0.65, root-mean-square errors (RMSEs) of 0.81 and 0.73 mm d -1 , unbiased root-mean-square errors (ubRMSEs) of 1.20 and 1.04 mm d -1 , mean absolute errors (MAEs) of 0.81 and 0.73 mm d -1 , and Kling–Gupta efficiencies (KGEs) of 0.60 and 0.65 on average at resolutions of 0.1 and 0.25°, respectively. In addition, comparisons indicate that CAMELE can effectively characterize the multiyear linear trend, mean average, and extreme values of ET. However, it exhibits a tendency to overestimate seasonality. In summary, we propose a reliable set of ET data that can aid in understanding the variations in the water cycle and has the potential to serve as a benchmark for various applications. The dataset is publicly available at 10.5281/zenodo.8047038 (Li et al., 2023b). [ABSTRACT FROM AUTHOR]