Showing 5,021 - 5,040 results of 5,295 for search '"Xi'an"', query time: 0.09s Refine Results
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    Roman stamped bricks from the Tussla-collection in the Hungarian National Museum by Linda Dobosi, Tamás Szabadváry

    Published 2025-01-01
    “…The other 27 stamps belonged to 10 other manufacturers: the legio XI Claudia (4), legio XXX Ulpia Victrix (2), cohors VII Breucorum (6), classis Flavia Histrica (1), Quadriburgium (3), Frigeridus dux (1), Terentius dux (1), Lupicinus tribunus (6), Terentianus tribunus (1) and Corta Vicen (2). …”
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    Changes on soil structural stability after in natura and composted chicken manure application by Thadeu Rodrigues De Melo, Alex Figueiredo, Wesley Machado, João Tavares Filho

    Published 2024-01-01
    “…Chicken manure did not alter water-dispersible clay ( = 21.7%), but increased the mean weight diameter of water-stable aggregates (MWD=5.43+0.068Ãdose) through the agglomeration of aggregates with 0.5â4 mm into 8â19 mm. …”
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    Comparative transcriptome analysis of albino northern snakehead (Channa argus) reveals its various collagen-related DEGs in caudal fin cells. by Shixi Chen, Ning Li, Fardous Mohammad Safiul Azam, Li Ao, Na Li, Jianlan Wang, Yuanchao Zou, Rui Li, Zakaria Hossain Prodhan

    Published 2024-01-01
    “…The enriched DEGs of collagen components include collagen I of COL1A1 and COL1A2, collagen II of COL2A1, collagen V of COL5A1 and COL5A2, collagen VI of COL6A1 and COL6A3, collagen IX of COL9A3, collagen X of COL10A1, collagen XI of COL11A2, collagen XII of COL12A1, collagen XVI of COL16A1, collagen XVIII of COL18A1 and decorin (DCN), all of which play a role in modulating the collagen matrix. …”
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    Mapping Heatwave Socioeconomic Exposure in the Chinese Mainland for the Period of 2000–2019 by Wei Wu, Qingsheng Liu, He Li, Chong Huang, Weiming Cheng

    Published 2024-12-01
    “…The combination of climate and socioeconomic factors contributes less to exposure rates, except in the Northeast (NE) and Southwest (SW) regions where it impacts GDP exposure most. (3) High-risk hotspot cities include Shanghai, Beijing, Chongqing, Guangzhou, Wuhan, Zhengzhou, Hangzhou, Xi’an, Tianjin, and Nanjing. These findings underscore the urgent need for targeted interventions and mitigation strategies in these vulnerable areas.…”
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