“Locality – Adaptation” Research of Hydropower Resettlement Communities in the Jinsha River Basin: A Case Study of Ludila Hydropower Station by Fang WANG, Zhuoqi LI, Haoyi XU, Jiaqi YAN

“…At the settlement scale, the Mask Region-based Convolutional Neural Network (Mask R-CNN) deep learning model is utilized to identify architectural spatial features, categorizing three typical building types: traditional pitched-roof buildings, uniformly planned flat-roof buildings, and color steel plate-modified structures. Through multi-source data fusion (including remote sensing, demographic statistics, and compensation records) and field investigations, the research quantitatively analyzes the “locality – adaptation” reconstruction process of resettlement communities across the three spatial dimensions of living, production, and cultural spaces.Results1) Land cover evolution: Water storage of hydropower station inundates 37.12 km2 of land (including 21.61 km² of high-quality cultivated land), resulting in a loss of 43.68% of settlement production space. 2) Adjustment of architectural space: 65.8% of dwellings in the original villages are traditional timber-earth buildings with a tile roof, which adapt to the climate environment of concentrated rainfall and sufficient sunshine in the Jinsha River Basin. 48.7% of the resettlement sites adopt unified flat roof planning, and 51.3% realize functional optimization through self-construction or renovation, with the average renovation area reaching 230.9 m2. 3) Transformation of livelihood system: The annual compensation mechanism only restores 15.79% of the cultivated land allocation before resettlement, and the proportion of compensation income drops from 82.71% in the initial stage of relocation to 33.15% after long-term resettlement, driving the adjustment of crop structure to high value-added cash crops. 4) Cultural space reconstruction: In the context of the disappearance of traditional water transport functions, the three cultural relics reconstructed in different places show a symbolic turn. …”
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Hybrid closed-loop systems for managing blood glucose levels in type 1 diabetes: a systematic review and economic modelling by Asra Asgharzadeh, Mubarak Patel, Martin Connock, Sara Damery, Iman Ghosh, Mary Jordan, Karoline Freeman, Anna Brown, Rachel Court, Sharin Baldwin, Fatai Ogunlayi, Chris Stinton, Ewen Cummins, Lena Al-Khudairy

“…Two reviewers extracted data independently using a piloted data extraction form. …”
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Innovation and diversity in public health team engagement in local alcohol premises licensing: qualitative interview findings from the ExILEnS study by Richard Purves, Andrea Mohan, Rachel O’Donnell, Matt Egan, Nason Maani, Niamh Fitzgerald

“…Relevant public health team activity was analysed quantitatively within 19 activities in 6 categories using the ‘Public Health engagement In Alcohol Licensing’ measure, as well as qualitatively using NVivo (QSR International, Melbourne, Australia). …”
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MRI Compatibility Research of Ultrasonic Motor and Material for DBS Surgical Robot by PENG Renyuan, ZHANG Juzhong, WANG Zhisen, CHU Yuyi, WU Yuwen, PENG Haoran, LIN Jun, YANG Hongbo

“…This study provides specific <italic>S</italic>_NR data and improvement methods based on experimental and theoretical analysis. …”
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Multi-element Accurate Analysis of Sulfide Minerals by Low-temperature Ablation LA-ICP-MS by Huilai LI, Fan LI, Dingwen ZHANG, Wei GUO, Lanlan JIN, Shenghong HU

“…BACKGROUNDMicro-geochemical information of sulfide minerals plays a crucial role in the field of geochemistry, allowing discovery of the formation mechanism and evolution process of sulfide minerals by analyzing their element composition characteristics. …”
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