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largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
values decrease » values increased (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
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561
Table 1_Gender differences in the association between sleep duration and diabetes in Chinese adults.docx
Published 2025“…</p>Conclusions<p>There was a U-shaped association between sleep duration and the risk of diabetes in women, with the lowest risk for diabetes at approximately 8–9h/day. …”
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562
Data Sheet 1_Gender differences in the association between sleep duration and diabetes in Chinese adults.docx
Published 2025“…</p>Conclusions<p>There was a U-shaped association between sleep duration and the risk of diabetes in women, with the lowest risk for diabetes at approximately 8–9h/day. …”
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563
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564
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565
Data Sheet 1_Factors influencing, and associated with, physical activity patterns in dogs with osteoarthritis-associated pain.xlsx
Published 2025“…</p>Results<p>At times of peak activity within a 24-h period, dogs with hindlimb OA pain, higher age, higher Clinical Metrology Instrument scores, higher joint pain, greater Body Condition Score and greater muscle atrophy all had decreased activity profiles. …”
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566
Data Sheet 2_Factors influencing, and associated with, physical activity patterns in dogs with osteoarthritis-associated pain.pdf
Published 2025“…</p>Results<p>At times of peak activity within a 24-h period, dogs with hindlimb OA pain, higher age, higher Clinical Metrology Instrument scores, higher joint pain, greater Body Condition Score and greater muscle atrophy all had decreased activity profiles. …”
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567
Data Sheet 6_Factors influencing, and associated with, physical activity patterns in dogs with osteoarthritis-associated pain.pdf
Published 2025“…</p>Results<p>At times of peak activity within a 24-h period, dogs with hindlimb OA pain, higher age, higher Clinical Metrology Instrument scores, higher joint pain, greater Body Condition Score and greater muscle atrophy all had decreased activity profiles. …”
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568
Data Sheet 4_Factors influencing, and associated with, physical activity patterns in dogs with osteoarthritis-associated pain.pdf
Published 2025“…</p>Results<p>At times of peak activity within a 24-h period, dogs with hindlimb OA pain, higher age, higher Clinical Metrology Instrument scores, higher joint pain, greater Body Condition Score and greater muscle atrophy all had decreased activity profiles. …”
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569
Data Sheet 5_Factors influencing, and associated with, physical activity patterns in dogs with osteoarthritis-associated pain.pdf
Published 2025“…</p>Results<p>At times of peak activity within a 24-h period, dogs with hindlimb OA pain, higher age, higher Clinical Metrology Instrument scores, higher joint pain, greater Body Condition Score and greater muscle atrophy all had decreased activity profiles. …”
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570
Data Sheet 3_Factors influencing, and associated with, physical activity patterns in dogs with osteoarthritis-associated pain.pdf
Published 2025“…</p>Results<p>At times of peak activity within a 24-h period, dogs with hindlimb OA pain, higher age, higher Clinical Metrology Instrument scores, higher joint pain, greater Body Condition Score and greater muscle atrophy all had decreased activity profiles. …”
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571
Cross-sectional dependence results.
Published 2024“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”
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572
Autocorrelation test results.
Published 2024“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”
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573
Pesaran’s CADF test results for Model I.
Published 2024“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”
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574
Descriptive statistics of related variables.
Published 2024“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”
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575
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576
Features on GMSC dataset used in NATE.
Published 2024“…Logistic regression is widely used in credit scoring due to its robustness, interpretability, and computational efficiency; however, its predictive power decreases when applied to complex or non-linear datasets, resulting in reduced accuracy. …”
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577
Searching space for hyperparameters in Table 7.
Published 2024“…Logistic regression is widely used in credit scoring due to its robustness, interpretability, and computational efficiency; however, its predictive power decreases when applied to complex or non-linear datasets, resulting in reduced accuracy. …”
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578
GMSC dataset (IR: Imbalance Ratio).
Published 2024“…Logistic regression is widely used in credit scoring due to its robustness, interpretability, and computational efficiency; however, its predictive power decreases when applied to complex or non-linear datasets, resulting in reduced accuracy. …”
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579
Under-sampled dataset.
Published 2024“…Logistic regression is widely used in credit scoring due to its robustness, interpretability, and computational efficiency; however, its predictive power decreases when applied to complex or non-linear datasets, resulting in reduced accuracy. …”
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580
The system architecture of NATE.
Published 2024“…Logistic regression is widely used in credit scoring due to its robustness, interpretability, and computational efficiency; however, its predictive power decreases when applied to complex or non-linear datasets, resulting in reduced accuracy. …”