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High spatio-temporal resolution estimates of electricity consumption are essential for formulating effective energy transition strategies. However, the data availability is limited by complex spatio-temporal heterogeneity and insufficient multi-source feature fusion. To address these issues, this study introduces an innovative downscaling method that combines multi-source data with machine learning and spatial interpolation techniques. The method's accuracy showed significant improvements, with determination coefficients (R2) increasing by 30.1% and 33.4% over the baseline model in two evaluation datasets. With this advanced model, we estimated monthly electricity consumption across 1 km x 1 km grid for 280 Chinese cities from 2012 to 2019. Our dataset is highly consistent with officially released electricity consumption of different industries (Pearson correlation coefficients within 0.83 - 0.91). Moreover, our data can reflect the electricity consumption patterns of different urban land uses compared to other datasets. This study bridges a significant gap in fine-grained electricity consumption data, providing a robust foundation for the development of sustainable energy policies. [ABSTRACT FROM AUTHOR]

Background: Acupotomy was used to treat tenosynovitis of hand flexor tendons (THFT) in China. But it's uncertain about the efficacy of acupotomy for THFT. We plan to evaluate the efficacy and safety about acupotomy therapy in the treatment of THFT through this review., Methods: The protocol about this review was registered in PROSPERO (registration number: CRD42022330568). We searched 6 databases from their respective inception dates to January 11, 2022. Studies searched was screened by our reviewers, and then the raw data was filtered out. We used RevMan 5.3 software to perform statistical analysis., Results: 11 studies involving 828 patients were shortlisted. The experimental group showed obvious advantages compared with the control group, such as effective rate (odds ratio [OR] = 6.77, 95% CI [confidence intervals] = [3.89, 11.77], P < .00001), cure rate (OR = 3.32, 95% CI = [1.81, 6.11], P = .0001) and Vas score (MD = -1.21, 95% CI = [-2.00, -0.42], Z = 3.01, P < .003)., Conclusions: According to the above results, Acupotomy is an effective and safe treatment for THFT. So it should be recommended for the treatment of THFT patients., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.)