“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

“…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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Organising general practice for care homes: a multi-method study by Barbara Hanratty, Rachel Stocker, David Sinclair, Katie Brittain, Karen Spilsbury, Daniel Stow, Louise Robinson, Fiona E Matthews

“…Setting England: national survey; qualitative work in three areas (two Vanguards); analysis of national primary care data across early implementation of Enhanced Health in Care Homes and the COVID-19 pandemic. …”
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Spatiotemporal variations in water quality parameters and assessment of the current status and challenges of eutrophication in Lake Dian by Huayu Li, Hucai Zhang, Lizeng Duan, Qi Liu, Donglin Li, Jiaping Huang, Jiawen Fu, Lihua Zi, Tianbao Xu

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Increasing uptake of self-management education programmes for type 2 diabetes in primary care: the Embedding research programme including an RCT by Melanie J Davies, Shona Agarwal, Danielle H Bodicoat, Alan Brennan, Simon Dixon, Helen Eborall, Agnieszka Glab, Laura J Gray, Michelle Hadjiconstantinou, Lisa Huddlestone, Nicky Hudson, Anju Keetharuth, Kamlesh Khunti, Caroline Kristunas, Graham Martin, Alison Northern, Mike Patterson, Daniel Pollard, Rebecca Pritchard, Sally Schreder, Jane Speight, Bernie Stribling, Jackie Sturt, Jess Turner, Christina Weis

“…Methods Workstream 1: developing Embedding Package Mixed-methods development work for the Embedding Package, including: (1) secondary analysis of existing qualitative data, systematic literature review and the merging of the resulting coded data with further analysis; (2) stakeholder consultation through workshops and interviews; and (3) analysis of all collected data. …”
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Exploring the Feasibility of a 5-Week mHealth Intervention to Enhance Physical Activity and an Active, Healthy Lifestyle in Community-Dwelling Older Adults: Mixed Methods Study by Kim Daniels, Sharona Vonck, Jolien Robijns, Kirsten Quadflieg, Jochen Bergs, Annemie Spooren, Dominique Hansen, Bruno Bonnechère

“…ResultsThe study involved 30 participants with an average age of 70.3 (SD 4.8) years, of whom 57% (17/30) were female. …”
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Construction of time series prediction and dynamic evaluation model for environmental factors in pregnant sow houses in winter by Xuehan Li, Jia Shen, Xiaoping Yang, Pengcheng Nie, Yiming Li, Zhe Li, Yawen Tan, Ziyi Li

“…The results demonstrate that the BiLSTM+Attention model improves the average R² by 47.55 %, 46.11 %, 33.66 %, 31.4 %, and 29.3 %, respectively. …”
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Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

“…Subsequently, these features were tested with eight well-known classifiers, comprising Decision tree, Discriminant analysis, Naive Bayes, Support vector machine, k-nearest neighbor, Ensemble learning, Neural networks, and Kernel approximation.ResultsFor subject-dependent analysis, the maximum accuracy of 59.17% was obtained using the EEG features that were selected the most (including (i) energy and variance of five frequency bands in frequency-domain feature set, (ii) all feature types in time-domain, time-frequency domain, and nonlinear domain feature sets) and all EEG channels by the Support vector machine algorithm. …”
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Utilizing plasma biochemical indicators to improve prediction of economic traits in crossbred duck population by Jian Hu, Mengdie Wang, Linxi Zhu, Chengming Han, Qinglei Yang, Zhenlin Liu, Jing Song, Zhengkui Zhou, Shuisheng Hou, Wentao Cai

“…Hierarchical clustering and principal component analysis revealed distinct metabolic networks: Cluster 1 (e.g., triglycerides, uric acid) correlated with leg muscle and viscera traits, while Cluster 2 (e.g., cholesterol, albumin) associated with breast muscle and fat deposition. …”
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Measurement report: Long-term measurements of surface ozone and trends in semi-natural sub-Saharan African ecosystems by H. E. V. Donnou, A. B. Akpo, M. Ossohou, M. Ossohou, C. Delon, V. Yoboué, D. Laouali, M. Ouafo-Leumbe, P. G. Van Zyl, O. Ndiaye, E. Gardrat, M. Dias-Alves, C. Galy-Lacaux

“…The data are collected with passive samplers and archived as monthly averages; quality assurance is maintained by INDAAF's calibration and intercomparison protocols with other programmes employing the same systems. …”
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Investigation of DC-Biased Optical OFDM With Precoding Matrix for Visible Light Communications: Theory, Simulations, and Experiments by Tao Jiang, Ming Tang, Rui Lin, Zhenhua Feng, Xi Chen, Lei Deng, Songnian Fu, Xiang Li, Wu Liu, Deming Liu

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Identification of Genomic Regions Related to Litter Size With Divergent Selection between Iranian Indigenous Sheep Breeds and Iceland Sheep Breed using FST Unbiased Statistics by Parviz Azizi, Hossein Moradi Shahrbabak, Mohammad Moradi Shahrbabak, Mahdi Mokhber

“…In this edition of the data, 527,284 SNP markers related to 174 animals were endured to selection signature analysis. …”
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Effectiveness of biomarker-guided duration of antibiotic treatment in children hospitalised with confirmed or suspected bacterial infection: the BATCH RCT by Cherry-Ann Waldron, Philip Pallmann, Simon Schoenbuchner, Debbie Harris, Lucy Brookes-Howell, Céu Mateus, Jolanta Bernatoniene, Katrina Cathie, Saul N Faust, Josie Henley, Lucy Hinds, Kerry Hood, Chao Huang, Sarah Jones, Sarah Kotecha, Sarah Milosevic, Helen Nabwera, Sanjay Patel, Stéphane Paulus, Colin VE Powell, Jenny Preston, Huasheng Xiang, Emma Thomas-Jones, Enitan D Carrol

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To what extent does the CO₂ diurnal cycle impact flux estimates derived from global and regional inversions? by S. Munassar, S. Munassar, S. Munassar, C. Rödenbeck, M. Gałkowski, M. Gałkowski, F.-T. Koch, F.-T. Koch, K. U. Totsche, K. U. Totsche, S. Botía, C. Gerbig

“…Differences between CO<span class="inline-formula">₂</span> mixing ratios simulated with daily averaged and hourly NEE from FLUXCOM-X range between around <span class="inline-formula">−</span>2.5 and 7 ppm averaged annually throughout a site network across the world. …”
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Mapping of the Literal Regressive and Geospatial–Temporal Distribution of Solar Energy on a Short-Scale Measurement in Mozambique Using Machine Learning Techniques by Fernando Venâncio Mucomole, Carlos Augusto Santos Silva, Lourenço Lázaro Magaia

“…The clear-sky index <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mfenced separators="|"><mrow><msubsup><mrow><mi>K</mi></mrow><mrow><mi>t</mi></mrow><mrow><mo>*</mo></mrow></msubsup></mrow></mfenced></mrow></semantics></math></inline-formula> theoretical approach was applied in conjunction with MLM that emphasized random forest (RF) and artificial neural networks (ANNs). Solar energy mapping was the result of the methodology, which involved statistically calculating <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mrow><mi>K</mi></mrow><mrow><mi>t</mi></mrow><mrow><mo>*</mo></mrow></msubsup></mrow></semantics></math></inline-formula> for the analysis of solar energy in correlational and causal terms of the space-time distribution. …”
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Enhanced recovery pathway for older people with hip fracture and cognitive impairment in acute hospitals: the PERFECTED research programme including an RCT by Chris Fox, Simon P Hammond, Lee Shepstone, Fiona Poland, Catherine Henderson, Tamara Backhouse, Bridget Penhale, Simon Donell, Martin Knapp, Douglas Lewins, Alasdair MacLullich, Martyn Patel, Opinder Sahota, Toby O Smith, Justin Waring, Jane L Cross

“…Main outcome measures Mortality, patient and carer quality of life, cognition, activities of daily living. Data sources Clinical trial. Results A total of 284 participants were recruited, 132 to the PEFECT-ER intervention arm and 150 to the control arm, had good retention in the study and provided data for analysis. …”
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AI predicting recurrence in non-muscle-invasive bladder cancer: systematic review with study strengths and weaknesses by Saram Abbas, Rishad Shafik, Naeem Soomro, Rakesh Heer, Rakesh Heer, Kabita Adhikari

“…These were categorised by data modalities (e.g., radiomics, clinical, histopathological, genomic) and types of ML models, such as neural networks, deep learning, and random forests. …”
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Assessing SWOT's Hydraulic Visibility on the Rhine: Precision Flow Lines and Slope‐Based Flood Wave Propagation Signatures by T. Ledauphin, P.‐A. Garambois, K. Larnier, M. Azzoni, C. Emery, N. Picot, S. Amzil, R. Fjørtoft, J. Maxant, H. Yésou

“…The 1‐day Cal/Val data analysis successfully observed flood wave propagation, intumescence, and a rarely observed submersion wave positive slope, underscoring SWOT's value for river hydrology. …”
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The Impact of Social Capital on Sustainable Development of Agriculture in Rural Areas (Case Study: Kermanshah Province Villages) by Vakil Haidari Sareban, Sohyla Bakhtar, Mina Ziarati

“…Field methods were used to collect data. Moreover, a framework of six indicators of social capital (trust, consistency, and consistency) and sustainable agriculture (social, economic and environmental) in the form of 63 items were selected in order to analyze the subject. …”
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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

“…The EAG base case applies the EAG RCT network meta-analysis estimate of −0.29% HbA1c for HCL relative to CSII + CGM. …”
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Development of Women Resilience in the Workplace: A Solution to Break the Glass Ceiling by Farajallah Rahimi, Maral Ahmadi Arpanahi

“…Academy of Management Review, 34(3), 477-491.Robinson, S. & Stubberud, H. A. (2010). An analysis of informal social networks by. International Journal of Entrepreneurship, 14(1), 1-12.Rowley, C., Kang, H. …”
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