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    Evaluation of Ecological Resilience of Agricultural Ecosystems in Razavi Khorasan Province: Comparison of Integrated and Non-Integrated Ecosystems by Pegah Naghipour, Alireza Koocheki, Mahdi Nasiri mahalati, Soroor Khorramdel

    Published 2025-12-01
    “…The intensification of climate change caused by global warming and its consequences, including the occurrence of long droughts, floods and other natural disasters, have threatened the food security of subsistence farmers and smallholders in the first place, and the food security of large communities in the long run. …”
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    Evaluation on Carbon Sequestration Capacity of 30 Common Landscaping Tree Species in Beijing by Jing QIAN, Sidong SHEN, Shuxin FAN, Li DONG

    Published 2025-01-01
    “…Landscaping trees play an important role in increasing urban natural carbon sinks and neutralizing urban anthropogenic carbon emissions. …”
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    25 de Mayo, ciudad en vilo por la contaminación del Río Colorado. by Leandro Martín Altolaguirre, Jorge Lapena, Maite Betelú, Hugo David Kin

    Published 2024-12-01
    “… El río Colorado es el principal curso de agua de su cuenca homónima, situada mayormente en Patagonia Norte, siendo a la vez, el límite natural entre las provincias de Río Negro y La Pampa. …”
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    Des vestiges d’un possible aqueduc à Lyon, à l’angle des rues Appian et des Fossés-de-Trion by Tony Silvino

    Published 2023-12-01
    “…The suburbium was structured by the Aquitaine Roman road and the four aqueducts that supplied water to the colony and that converged in this zone.The excavation uncovered two parallel structures dug into the natural substrate, with a south-south-west and north-north-east orientation. …”
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  13. 40713

    Vegetable Crop Growth Modeling in Digital Twin Platform Based on Large Language Model Inference by ZHAO Chunjiang, LI Jingchen, WU Huarui, YANG Yusen

    Published 2024-11-01
    “…Traditional crop growth models, often constrained by their reliance on static, rule-based methods, fail to capture the dynamic and multifactorial nature of vegetable crop growth. This research tried to address these challenges by leveraging the advanced reasoning capabilities of pre-trained large language models (LLMs) to simulate and predict vegetable crop growth with accuracy and reliability. …”
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