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Quantitative comparisons of different reservoir operation schemes can provide valuable suggestions for decision making and help to promote new planning tools under changing environments. The full spectrum of reservoir operation schemes (rule-curve-based setup (RBS), single-objective optimisation setup (SOS), bi-objective optimisation setup (BOS) and many-objective optimisation setup (MOS)) was considered in this work. A large reservoir in the southwest of China (Qinshitan reservoir) was used as a case study. The four reservoir operation schemes were established using similar formulations and were evaluated quantitatively under typical hydrological years. For the considered optimisation problem, progressive improvement on the solution was obtained from RBS to SOS, then BOS and finally MOS. Among the models, the MOS provided a comprehensive perspective on reservoir operation and achieved the best performance in terms of offering the most options for decision making. The MOS also discovered a step-wise operational scheme that had not been captured by the RBS, the SOS or the BOS.

Ecosystem service flow refers to the whole process of ecosystem service production, delivery and utilization, which is closely related to social-ecological processes. However, quantifying the entire ecosystem service flow process remains challenging, placing limits on the management of social-ecological systems to improve human wellbeing. Here, we explored the relationship between social-ecological processes (e.g., product transfer, matter cycling, energy flow and information delivery) and the spatial flow of ecosystem service. Then, we reviewed methods quantifying the spatial flow of ecosystem service. Finally, we proposed a comprehensive framework for quantifying the whole process of ecosystem service flow in terms of social-ecological processes. The framework consists of the quantification of ecosystem service supply and demand, the spatial flow of ecosystem service between suppliers and consumers, and the quantification of utilized ecosystem service. To better quantify the whole process of ecosystem service flow, we need to further understand the factors impacting ecosystem service flow, develop process-based models integrating beneficiaries and infrastructure, and establish social-ecological approaches to inform ecosystem service flow governance.

In the process of the evolution of urban-rural spatial patterns, traditional village forms have been seriously eroded and destroyed, resulting in the gradual loss of garden feature elements and the blurring of spatial features. Facing these problems, accurate and efficient acquisition of relevant data becomes the key to traditional village conservation. We take the typical Huizhou Shuikou garden Tangmo village as an example and conduct a study on how to use UAV aerial images to extract spatial feature data. Firstly, the UAV was used to acquire aerial images of the study area through a predefined mission. Then, the image data are processed by using structure from motion (SfM) software to obtain digital surface model (DSM), digital orthophoto map (DOM), point cloud, and 3D model. Finally, the produced spatial data are applied to the spatial feature extraction analysis study. The results show the following: (1) the data produced by UAV aerial images have a horizontal accuracy of 0.034 m and a vertical accuracy of 0.039 m, which meet the requirements of traditional village spatial data collection. (2) The results of spatial feature elements and terrain feature extraction show that the 3D model and DSM can accurately extract and analyze the micro and macro spatial feature of traditional villages. (3) By using the cloth simulation filtering (CSF) to extract point clouds of buildings and streets, and after statistical analysis, we could quickly obtain their spatial features. Based on the spatial data obtained by using UAV, the study achieves the accurate collection of Tangmo DSM, DOM, 3D model, and spatial feature data and forms a method of data collection, processing and spatial feature extraction. The results of the study can provide a scientific basis for data collection on the spatial features of other cultural heritages and the conservation of traditional villages.

The full potential of tumor-infiltrating lymphocyte (TIL) therapy has been hampered by the inadequate activation and low persistence of TILs, as well as inefficient neoantigen presentation by tumors. We transformed tumor cells into artificial antigen-presenting cells (aAPCs) by infecting them with a herpes simplex virus 1 (HSV-1)-based oncolytic virus encoding OX40L and IL12 (OV-OX40L/IL12) to provide local signals for optimum T cell activation. The infected tumor cells displayed increased expression of antigen-presenting cell-related markers and induced enhanced T cell activation and killing in coculture with TILs. Combining OV-OX40L/IL12 and TIL therapy induced complete tumor regression in patient-derived xenograft and syngeneic mouse tumor models and elicited an antitumor immunological memory. In addition, the combination therapy produced aAPC properties in tumor cells, activated T cells, and reprogrammed macrophages to a more M1-like phenotype in the tumor microenvironment. This combination strategy unleashes the full potential of TIL therapy and warrants further evaluation in clinical studies.