Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
set decrease » we decrease (Expand Search), sizes decrease (Expand Search), mean decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
set decrease » we decrease (Expand Search), sizes decrease (Expand Search), mean decrease (Expand Search)
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3341
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3342
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3343
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3344
Results from linear regression analysis for δ<sup>13</sup>C or δ<sup>15</sup>N and collection date.
Published 2025Subjects: -
3345
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3346
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3347
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3348
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3349
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3350
Linear regressions of consumer stable carbon and nitrogen isotope values and collection date.
Published 2025Subjects: -
3351
Phagocytosis of SMPs by alveolar macrophages of MH-S cell line evaluated by flow cytometry.
Published 2025Subjects: -
3352
Compound eye blindfolding and its effect on the search for oviposition sites.
Published 2024Subjects: -
3353
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3354
Cell viability of alveolar macrophages of MH-S cell line stimulated with SMPs for 24
Published 2025Subjects: -
3355
Some examples of selected Chinese characters.
Published 2025“…Our model further integrates deep clipping and timestep optimization techniques, significantly reducing parameter complexity while maintaining superior performance. …”
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3356
Illustrative diagram of the three crash types.
Published 2025“…</p><p>Results</p><p>Significant risk factors for overtaking crashes included heavy goods vehicles (HGVs) as crash partners (AOR = 1.30, 95% CI 1.27–1.33), and elderly crash partners (AOR = 2.01, 95% CI = 1.94–2.09), and decreased risk in rural area with speed limits of 20–30 miles per hour (AOR = 0.45, 95% CI = 0.43–0.47). …”
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3357
Multivariate logistic regression results.
Published 2025“…</p><p>Results</p><p>Significant risk factors for overtaking crashes included heavy goods vehicles (HGVs) as crash partners (AOR = 1.30, 95% CI 1.27–1.33), and elderly crash partners (AOR = 2.01, 95% CI = 1.94–2.09), and decreased risk in rural area with speed limits of 20–30 miles per hour (AOR = 0.45, 95% CI = 0.43–0.47). …”
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3358
Univariate logistic regression results.
Published 2025“…</p><p>Results</p><p>Significant risk factors for overtaking crashes included heavy goods vehicles (HGVs) as crash partners (AOR = 1.30, 95% CI 1.27–1.33), and elderly crash partners (AOR = 2.01, 95% CI = 1.94–2.09), and decreased risk in rural area with speed limits of 20–30 miles per hour (AOR = 0.45, 95% CI = 0.43–0.47). …”
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3359
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3360