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significantly increased » significant increase (Expand Search)
increased decrease » increased release (Expand Search), increased crash (Expand Search)
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Showing 2,181 - 2,200 results of 14,310 for search '(( significantly increased decrease ) OR ( significant ((all decrease) OR (small decrease)) ))', query time: 0.66s Refine Results
  1. 2181
    A spatial Durbin model compared to a spatial error and lag model.

    A spatial Durbin model compared to a spatial error and lag model. by Sakar Hasan Hamza (20978818)

    Published 2025
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  2. 2182
    Descriptive statistics from 2005 to 2018.

    Descriptive statistics from 2005 to 2018. by Sakar Hasan Hamza (20978818)

    Published 2025
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  3. 2183
    Models 7 to 12: estimation results.

    Models 7 to 12: estimation results. by Sakar Hasan Hamza (20978818)

    Published 2025
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  4. 2184
    Models 1 to 6: estimation results.

    Models 1 to 6: estimation results. by Sakar Hasan Hamza (20978818)

    Published 2025
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  5. 2185
    The LM test is used to determine whether models contain spatial lag or spatial error.

    The LM test is used to determine whether models contain spatial lag or spatial error. by Sakar Hasan Hamza (20978818)

    Published 2025
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  6. 2186
    Hausman test results.

    Hausman test results. by Sakar Hasan Hamza (20978818)

    Published 2025
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  7. 2187
    The LR test is used to determine whether models contain fixed effects.

    The LR test is used to determine whether models contain fixed effects. by Sakar Hasan Hamza (20978818)

    Published 2025
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  8. 2188
    Variable’s construction.

    Variable’s construction. by Sakar Hasan Hamza (20978818)

    Published 2025
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  9. 2189
    Moran’s I across countries.

    Moran’s I across countries. by Sakar Hasan Hamza (20978818)

    Published 2025
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  10. 2190
    Raw dataset.

    Raw dataset. by Sakar Hasan Hamza (20978818)

    Published 2025
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  11. 2191
    Positive correlation between tourist arrivals per capita & level of prices.

    Positive correlation between tourist arrivals per capita & level of prices. by Sakar Hasan Hamza (20978818)

    Published 2025
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  12. 2192
    Phenotypic characterization of NMIIC knockout (KO) mice.

    Phenotypic characterization of NMIIC knockout (KO) mice. by Hiroki Hamaguchi (22783780)

    Published 2025
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  13. 2193
    Spontaneous physical activity and respiratory quotient (RQ) in WT and NMIIC KO mice.

    Spontaneous physical activity and respiratory quotient (RQ) in WT and NMIIC KO mice. by Hiroki Hamaguchi (22783780)

    Published 2025
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  14. 2194
    NMIIC expression and muscle weight in the soleus of 82-86-week-old mice.

    NMIIC expression and muscle weight in the soleus of 82-86-week-old mice. by Hiroki Hamaguchi (22783780)

    Published 2025
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  15. 2195
    Evaluation of mitochondrial protein expression and morphology in NMIIC KO mice.

    Evaluation of mitochondrial protein expression and morphology in NMIIC KO mice. by Hiroki Hamaguchi (22783780)

    Published 2025
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  16. 2196
    Proliferation and differentiation of myoblasts derived from satellite cells in WT and NMIIC KO mice.

    Proliferation and differentiation of myoblasts derived from satellite cells in WT and NMIIC KO mice. by Hiroki Hamaguchi (22783780)

    Published 2025
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  17. 2197
    Confirmation of NMIIC expression.

    Confirmation of NMIIC expression. by Hiroki Hamaguchi (22783780)

    Published 2025
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  18. 2198
    Expression of non-muscle myosin (NM) IIC in skeletal muscle cells.

    Expression of non-muscle myosin (NM) IIC in skeletal muscle cells. by Hiroki Hamaguchi (22783780)

    Published 2025
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  19. 2199
    Comparison of soleus muscle weight and fiber size histogram between young and aged WT and NMIIC KO mice.

    Comparison of soleus muscle weight and fiber size histogram between young and aged WT and NMIIC KO mice. by Hiroki Hamaguchi (22783780)

    Published 2025
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  20. 2200
    Examples of positive, negative, and neutral tweets. Each tweet is assigned to only one of the categories based on its sentiment score calculated by VADER.

    Examples of positive, negative, and neutral tweets. Each tweet is assigned to only one of the categories based on its sentiment score calculated by VADER. by Yuqi Zhang (286958)

    Published 2025
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