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Showing 141 - 160 results of 3,908 for search '(( process ((when decrease) OR (mean decrease)) ) OR ( a ((large decrease) OR (larger decrease)) ))', query time: 0.42s Refine Results
  1. 141
    The concentration of inflammatory parameters (TNF-α and IL-10) in serum (a and b) and burned skin samples (c) of different experimental groups on day 2 and 10.

    The concentration of inflammatory parameters (TNF-α and IL-10) in serum (a and b) and burned skin samples (c) of different experimental groups on day 2 and 10. by Omid Mehrpour (9385929)

    Published 2024
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  2. 142
    The concentrations of malondialdehyde (a), super oxide dismutase (b), and NOx (nitrate +nitrite)(c) in the burned skin samples of different experimental groups on day 2 and 10.

    The concentrations of malondialdehyde (a), super oxide dismutase (b), and NOx (nitrate +nitrite)(c) in the burned skin samples of different experimental groups on day 2 and 10. by Omid Mehrpour (9385929)

    Published 2024
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  3. 143
    Metal input and output of BOF.

    Metal input and output of BOF. by Junwen Chen (4862806)

    Published 2025
    “…In this paper, a widespread SFA model is proposed, and four evaluation indicators are proposed to appraise the metabolic processes of iron and carbon. …”
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  4. 144
    General model for SFA.

    General model for SFA. by Junwen Chen (4862806)

    Published 2025
    “…In this paper, a widespread SFA model is proposed, and four evaluation indicators are proposed to appraise the metabolic processes of iron and carbon. …”
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  5. 145
    Actual statistical data of steel enterprises.

    Actual statistical data of steel enterprises. by Junwen Chen (4862806)

    Published 2025
    “…In this paper, a widespread SFA model is proposed, and four evaluation indicators are proposed to appraise the metabolic processes of iron and carbon. …”
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  6. 146
    Comparison with other methods.

    Comparison with other methods. by Junwen Chen (4862806)

    Published 2025
    “…In this paper, a widespread SFA model is proposed, and four evaluation indicators are proposed to appraise the metabolic processes of iron and carbon. …”
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  7. 147
    Carbon emission factors in this study [25].

    Carbon emission factors in this study [25]. by Junwen Chen (4862806)

    Published 2025
    “…In this paper, a widespread SFA model is proposed, and four evaluation indicators are proposed to appraise the metabolic processes of iron and carbon. …”
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  8. 148
    The original data of this paper.

    The original data of this paper. by Junwen Chen (4862806)

    Published 2025
    “…In this paper, a widespread SFA model is proposed, and four evaluation indicators are proposed to appraise the metabolic processes of iron and carbon. …”
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  9. 149
    Metal input and output of EAF.

    Metal input and output of EAF. by Junwen Chen (4862806)

    Published 2025
    “…In this paper, a widespread SFA model is proposed, and four evaluation indicators are proposed to appraise the metabolic processes of iron and carbon. …”
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  10. 150
    Main energy metabolism flow of EAF.

    Main energy metabolism flow of EAF. by Junwen Chen (4862806)

    Published 2025
    “…In this paper, a widespread SFA model is proposed, and four evaluation indicators are proposed to appraise the metabolic processes of iron and carbon. …”
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  11. 151
    The impact of CO2 emission in EAF.

    The impact of CO2 emission in EAF. by Junwen Chen (4862806)

    Published 2025
    “…In this paper, a widespread SFA model is proposed, and four evaluation indicators are proposed to appraise the metabolic processes of iron and carbon. …”
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  12. 152
    Scope and boundary of iron and steel system.

    Scope and boundary of iron and steel system. by Junwen Chen (4862806)

    Published 2025
    “…In this paper, a widespread SFA model is proposed, and four evaluation indicators are proposed to appraise the metabolic processes of iron and carbon. …”
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  13. 153
    Carbon metabolism flow (UnitMt).

    Carbon metabolism flow (UnitMt). by Junwen Chen (4862806)

    Published 2025
    “…In this paper, a widespread SFA model is proposed, and four evaluation indicators are proposed to appraise the metabolic processes of iron and carbon. …”
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  14. 154
    Iron metabolism flow (UnitMt).

    Iron metabolism flow (UnitMt). by Junwen Chen (4862806)

    Published 2025
    “…In this paper, a widespread SFA model is proposed, and four evaluation indicators are proposed to appraise the metabolic processes of iron and carbon. …”
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  15. 155
    Main energy metabolism flow of BOF.

    Main energy metabolism flow of BOF. by Junwen Chen (4862806)

    Published 2025
    “…In this paper, a widespread SFA model is proposed, and four evaluation indicators are proposed to appraise the metabolic processes of iron and carbon. …”
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  16. 156
    Polylactic Acid/Polybutylene Adipate Terephthalate-Carbon Nanotube Nanobiocomposites with a Segregated Toughening Morphology Yielding Large Ductility for Biocompatible Materials

    Polylactic Acid/Polybutylene Adipate Terephthalate-Carbon Nanotube Nanobiocomposites with a Segregated Toughening Morphology Yielding Large Ductility for Biocompatible Materials by Utsab Ayan (18552401)

    Published 2025
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  17. 157
    Metformin lotion decreases collagen III levels in the wounded skin of rats after 10 days of wound healing.

    Metformin lotion decreases collagen III levels in the wounded skin of rats after 10 days of wound healing. by Jianying Zhang (256508)

    Published 2024
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  18. 158
    Metformin lotion decreases collagen III levels in the wounded skin of rats after 10 days of wound healing.

    Metformin lotion decreases collagen III levels in the wounded skin of rats after 10 days of wound healing. by Jianying Zhang (256508)

    Published 2024
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  19. 159
    Renal (urea and creatinine) (a, b) and Liver function (ALT and AST) (c, d) test in serums of different experimental groups and body weight changes (e) on day 10.

    Renal (urea and creatinine) (a, b) and Liver function (ALT and AST) (c, d) test in serums of different experimental groups and body weight changes (e) on day 10. by Omid Mehrpour (9385929)

    Published 2024
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  20. 160
    Depth and unit sub-grouping improve performance and neural prediction. (A) depth was added by stacking RNNs while controlling the number of trainable parameters (the number of hidden units per layer is indicated in white). (B) Deeper models have lower word error rate. (C) Deeper models also achieved better predictive power for brain responses, when units in each layer were used to create separate predictors (solid lines). However, increasing the number of predictors derived from flat models by K-means clustering also increased predictive power (dotted lines), with the highest predictive power for the flat localist model at K = 32. (D) K-means clustering applied to deep models (ignoring the differentiation of units into different layers). While depth generally improved predictive power of GloVe models, it did not seem to have a clear effect on localist models. (E) Acoustic-phonetic structure in the learned output mappings is found even in deep localist models, but it decreases as a

    Depth and unit sub-grouping improve performance and neural prediction. (A) depth was added by stacking RNNs while controlling the number of trainable parameters (the number of hidd... by Christian Brodbeck (211096)

    Published 2025
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