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  1. 1601

    FAILURE ANALYSIS OF HIGH STRENGTH ALUMINUM ALLOY WHEEL by YU JianMin, ZHANG ZhiMin, WANG Qiang

    Published 2018-01-01
    “…After T6 heat treatment,there areηphase,S phase and θ phase on the grain boundary of 7 A04 aluminum alloy. In the corrosion environment,the matrix grain priority to dissolute itself as anodic,which makes the grain boundary become active path,crack propagation along the path lead to fracture.…”
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  2. 1602
  3. 1603

    Spatial Variation of Arsenic in Soil, Irrigation Water, and Plant Parts: A Microlevel Study by M. S. Kabir, M. A. Salam, D. N. R. Paul, M. I. Hossain, N. M. F. Rahman, Abdullah Aziz, M. A. Latif

    Published 2016-01-01
    “…Both arsenic contaminated irrigation water and the soils were responsible for accumulation of arsenic in rice straw, husk, and grain. The accumulation of arsenic was higher in water followed by soil, straw, husk, and grain. …”
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  4. 1604

    Microstructure and Tensile Property Tailoring of Al–5Mg (wt%) Alloy Combined with Continuous Rheo-Extrusion and Sc Modification by Bowei Yang, Wenyue Liu, Xin Liu, Dalong Yang, Minqiang Gao

    Published 2025-01-01
    “…The results showed that an obvious grain refinement effect was achieved in the CREed Al–5Mg alloy as the Sc content increased from 0 to 0.5 wt%, and the average grain size decreased from 52.6 μm to 2.4 μm, respectively. …”
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  5. 1605

    Tracing nitrogen use efficiency of diverse Canadian spring wheat cultivars by Kate A. Congreves, Olivia Otchere, Pierre J. Hucl

    Published 2024-12-01
    “…The 15NRE in the grain averaged 25.0% at the higher soil N site, and 15.5% at the lower soil N site. …”
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  6. 1606

    AMMI and GGE biplot analyses of genotype-environment interaction in spring barley lines by P. N. Solonechnyi

    Published 2017-11-01
    “…To find out the effects of GEI on grain yield, the data were subjected to AMMI and GGE biplot analysis. …”
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  7. 1607
  8. 1608

    Evaluating modified atmosphere with variable CO₂-O₂ concentrations for Tribolium castaneum management and quality preservation in Rice storage by Xue Dong, Ming Yang, Peian Tang

    Published 2025-02-01
    “…These findings presented an advancement in sustainable grain storage, with tailored CO₂-O₂ ratios to achieve desirable outcomes as a sustainable strategy for long-term rice storage.…”
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  9. 1609

    Assessment of source material for malting barley breeding by O. A. Yusova, P. N. Nikolaev, M. A. Kuzmich, L. S. Kuzmich

    Published 2023-04-01
    “…Besides, these lines had a set of the following brewing characteristics: grain evenness (98.7–99.95); grain filminess (9.3–9.9%), 1000 grain weight (55.6–57.0 g), grain extractivity (78.1 and 78.9%), mass fraction of starch (55,35–56.83%), color (0.15–0.30 EBC units), and malt vitreousness (0.0–3.0%).Conclusion., The lines Sasha × Getman (1) and (2), Omsky 90 × Margret, Omsky 95 × Beatrice (2) and (3), Omsky 95 × Despina are recommended for further research.…”
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  10. 1610

    Preliminary Evaluation of Some Engineering Geological Properties of Soils in the New Yenagoa Town, Bayelsa State, Central Niger Delta by PO Youdeowei, HO Nwankwoala

    Published 2013-07-01
    “…The litho-log reveals light to dark brown, fine grained, cohesionless, loose, sands generally overlying dark grey, very fine grained, soft consistency, sticky, low plasticity, silty clays. …”
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  11. 1611

    Enhancing Soybean Yield Through Inoculation of Multifunctional Microbial Consortia by Murilo Francisco Travençoli Rossetim, Antonio Carlos Vargas Motta, Yanka Rocha Kondo, Barbara Elis Santos Ruthes, Mariangela Hungria, Joana Falcão Salles, Glaciela Kaschuk

    Published 2025-01-01
    “…Measurements included shoot, root, nodules, grain masses, and grain yield, alongside analyses of seed N, P, lipid, protein, and carbohydrate contents. …”
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  12. 1612

    Preliminary Evaluation of Some Engineering Geological Properties of Soils in the New Yenagoa Town, Bayelsa State, Central Niger Delta by PO Youdeowei, HO Nwankwoala

    Published 2013-07-01
    “…The litho-log reveals light to dark brown, fine grained, cohesionless, loose, sands generally overlying dark grey, very fine grained, soft consistency, sticky, low plasticity, silty clays. …”
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    Article
  13. 1613

    The influence of dispersing structure in multiple drawing on the plasticity of low‑carbon steel by V. P. Fetisov

    Published 2024-06-01
    “…Minimizing the cell sizes and reducing the intensity of deformation hardening for a more dispersed initial structure maintain an increased relative contraction of fine‑grained steel after large total compressions. The increase in the tendency to harden coarse‑grained steel is accompanied by an increased decrease in the ductility of the wire during repeated drawing. …”
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  14. 1614

    A strategy of the new “green revolution” in wheat breeding: celebrating the jubilee of Lyudmila A. Bespalova, Full Member of the Russian Academy of Sciences by E. K. Khlestkina

    Published 2022-04-01
    “…Bespalova, a renowned breeder and head of the Department of Wheat and Triticale Breeding and Seed Production at the P.P. Lukyanenko National Grain Center.The main result achieved by L.A. Bespalova’s team is more than 170 cultivars of various wheat species and triticale, including over 100 bread wheat cultivars that supply about 10% of worldwide grain harvests of this staple crop, most important for the existence of mankind. …”
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  15. 1615

    Study on video action recognition based on augment negative example multi-granularity discrimination model by LIU Liangzhen, YANG Yang, XIA Yingjie, KUANG Li

    Published 2024-12-01
    “…An augment negative example discrimination paradigm based on contrastive learning was proposed to improve the model’s fine-grained discrimination ability of video actions. The most challenging video-text negative pairs was generated, forming an augmented negative example set for each video sample. …”
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  16. 1616
  17. 1617

    Research on Monitoring Methods for the Appropriate Rice Harvest Period Based on Multispectral Remote Sensing by Chen Cong, Cao Guangqiao, Li Yibai, Liu Dong, Ma Bin, Zhang Jinlong, Li Liang, Hu Jianping

    Published 2022-01-01
    “…The inverse model of spectral reflectance with rice thousand-grain weight and moisture content was established using the BP neural network, SVM, and decision tree. …”
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