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Objective To describe the cross-cultural adaptation of the document of advance care planning (ACP) Voicing My CHOiCESTM in Chinese, and provide the basis for the practice of ACP in China. Methods The process of cross-cultural adaptation involved document translation and synthesis, evaluation of healthcare providers, evaluation of patients, back translation, author revision of the original document, and finalization. The participants were all kinds of healthcare providers involved in ACP practice, including doctors, nurses, social workers, psychologists, hospice volunteers, anesthesiologists, nutritionists, and pharmacists. The heathcare providers were invited to answer a questionnaire about the document's structure, importance, appropriateness, and level of language localization. The evaluation of healthcare providers included three rounds of the process. We revised the document based on the feedback and developed the first draft. The first draft of the document was reviewed by young patients with fatal diseases and their families. They read each page of the document and rated the perceived appropriateness, helpfulness, and stressfulness of each item. After further revision, the final document was formed. Results Due to the differences in language, culture, health, and legal system between China and the United States, the cross-cultural adaptations were made in some topics of the document. The Chinese version of the document included 13 topics, involving medical and nursing decision-making, daily life planning, funeral planning, and spiritual support, etc. In total, 91.67% of the patients and 80% of their parents considered all topics covered to be appropriate for age and culture. In total, 75% of patients and 70% of their parents found all the topics to be helpful. In the evaluation of stress, death-related topics brought pressure on patients. Conclusions The Chinese version of Voicing My CHOiCESTM is the first ACP document applicable to adolescents and young adults in China. This document can help young Chinese patients to think and express their wishes and preferences, and guide patients, family members, and healthcare providers to fully and deeply communicate with each other about future planning.

River conditions are complex and affected by human activities. Various hydraulic structures change the longitudinal slope and cross-sectional shape of the riverbed, which has a significant impact on the simulation of water-head evolution. With continuous population growth, the hydrological characteristics of the Yongding River Basin have undergone significant changes. Too little or too much water discharge may be insufficient to meet downstream ecological needs or lead to the wastage of water resources, respectively. It is necessary to consider whether the total flow in each key section can achieve the expected value under different discharge flows. Therefore, a reliable computer model is needed to simulate the evolution of the water head and changes in the water level and flow under different flow rates to achieve efficient water resource allocation. A one-dimensional hydrodynamic coupling model based on the Saint-Venant equations was established for the Yongding River Basin. Different coupling methods were employed to calibrate the coupling model parameters, using centralised water replenishment data for the autumn of 2022, and the simulation results were verified using centralised water replenishment data for the spring of 2023. The maximum error of the water-head arrival time between different river sections was 4 h, and the maximum error of the water-head arrival time from the Guanting Reservoir to each key cross-section was 6 h. The maximum flow error was less than 5 m3/s, and the changing trend of the flow over time was consistent with the measured data. The model effectively solved the problem of low accuracy of the water level and flow calculation results when using the traditional one-dimensional hydrodynamic model to simulate the flow movement of complex river channels in the Yongding River. The output results of the model include the time when the water head arrives at the key section, the change process of the water level and flow of each section, the change process of the water storage of lakes and gravel pits, and the change process of the total flow and water surface area of the key section. This paper reports data that support the development of an ecological water compensation scheme for the Yongding River. [ABSTRACT FROM AUTHOR]

Our understanding and predictive capability of streamflow processes largely rely on high-quality datasets that depict a river's upstream basin characteristics. Recent proliferation of large sample hydrology (LSH) datasets has promoted model parameter estimation and data-driven analyses of hydrological processes worldwide, yet existing LSH is still insufficient in terms of sample coverage, uncertainty estimates, and dynamic descriptions of anthropogenic activities. To bridge the gap, we contribute the synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) to complement existing LSH datasets, which covers 21 568 watersheds from 13 agencies for as long as 43 years based on discharge observations scraped from the internet. In addition to annual and monthly streamflow indices, each basin's daily meteorological variables (i.e., precipitation, 2 m air temperature, longwave/shortwave radiation, wind speed, actual and potential evapotranspiration), daily–weekly water storage terms (i.e., snow water equivalence, soil moisture, groundwater percentage), and yearly dynamic descriptors of the land surface characteristics (i.e., urban/cropland/forest fractions, leaf area index, reservoir storage and degree of regulation) are also provided by combining openly available remote sensing and reanalysis datasets. The uncertainties in all meteorological variables are estimated with independent data sources. Our analyses reveal the following insights: (i) the meteorological data uncertainties vary across variables and geographical regions, and the revealed pattern should be accounted for by LSH users; (ii) ∼6 % watersheds shifted between human-managed and natural states during 2001–2015, e.g., basins with environmental recovery projects in northeast China, which may be useful for hydrologic analysis that takes the changing land surface characteristics into account; and (iii) GSHA watersheds showed a more widespread declining trend in runoff coefficient than an increasing trend, pointing towards critical water availability issues. Overall, GSHA is expected to serve hydrological model parameter estimation and data-driven analyses as it continues to improve. GSHA v1.1 can be accessed at 10.5281/zenodo.8090704 and 10.5281/zenodo.10433905 (Yin et al., 2023a, b). [ABSTRACT FROM AUTHOR]