Search alternatives:
significant linear » significant clinical (Expand Search), significant gender (Expand Search), significant level (Expand Search)
weaker decrease » greater decrease (Expand Search), water decreases (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
significant linear » significant clinical (Expand Search), significant gender (Expand Search), significant level (Expand Search)
weaker decrease » greater decrease (Expand Search), water decreases (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
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1061
Image 7_The global, regional, and national alcohol-related colorectal cancer burden and forecasted trends: results from the global burden of disease study 2021.tif
Published 2024“…Temporal trends in the burden of disease from 1990 to 2021 were analyzed through linear regression models. Finally, both Age-Period-Cohort (APC) models and Bayesian Age-Period-Cohort (BAPC) models were utilized to project the future burden of the disease for 2022–2046.…”
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1062
Table_2_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.DOC
Published 2024“…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”
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1063
Data_Sheet_13_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.PDF
Published 2024“…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”
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1064
Table_3_Global burden of multiple sclerosis and its attributable risk factors, 1990–2019.DOC
Published 2024“…At the regional level, a non-linear relationship was observed between the age-standardized DALY rate of MS and SDI.…”
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1065
Image 2_The global, regional, and national alcohol-related colorectal cancer burden and forecasted trends: results from the global burden of disease study 2021.tif
Published 2024“…Temporal trends in the burden of disease from 1990 to 2021 were analyzed through linear regression models. Finally, both Age-Period-Cohort (APC) models and Bayesian Age-Period-Cohort (BAPC) models were utilized to project the future burden of the disease for 2022–2046.…”
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1066
Table 2_ILF-neurofeedback in clinical practice: examining symptom change and performance metrics across diagnostic groups.docx
Published 2025“…Symptoms significantly decreased during NF, with the fastest decline in the first 10 sessions. …”
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1067
Table 1_ILF-neurofeedback in clinical practice: examining symptom change and performance metrics across diagnostic groups.docx
Published 2025“…Symptoms significantly decreased during NF, with the fastest decline in the first 10 sessions. …”
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1068
Data Sheet 1_ILF-neurofeedback in clinical practice: examining symptom change and performance metrics across diagnostic groups.pdf
Published 2025“…Symptoms significantly decreased during NF, with the fastest decline in the first 10 sessions. …”
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1069
Image_1_Barriers of the CNS transfer rate dynamics in patients with vascular cognitive impairment and dementia.TIFF
Published 2024“…</p>Results<p>Longitudinal BBB measurements revealed variable dynamic behavior: after two years, the BBB K<sub>trans</sub> increased in 55% of patients and decreased in the remaining 45% unpredictably. We did not find a significant linear model of BBB K<sub>trans</sub> versus age for VCID. …”
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1070
Data Sheet 1_Past and future trends in swiss snow cover: multi-decades analysis using the snow observation from space algorithm.docx
Published 2025“…The pixel-wise analysis reveals significant negative trends in the monthly NDSI across all seasons, with the most pronounced decreases at low to mid-elevations, particularly in winter and spring (e.g., a 50% reduction in NDSI for pixels showing positive significative trends in winter below 1,000 m, and a 43% reduction in spring between 1,000 and 2,000 m). …”
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1071
Supplementary file 1_Past and future trends in swiss snow cover: multi-decades analysis using the snow observation from space algorithm.docx
Published 2025“…The pixel-wise analysis reveals significant negative trends in the monthly NDSI across all seasons, with the most pronounced decreases at low to mid-elevations, particularly in winter and spring (e.g., a 50% reduction in NDSI for pixels showing positive significative trends in winter below 1,000 m, and a 43% reduction in spring between 1,000 and 2,000 m). …”
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1072
Descriptive statistics.
Published 2025“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
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1073
Changes in body composition, PSC, PSCP, MVPA.
Published 2025“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
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1074
Causal paths for FFM.
Published 2025“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
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1075
Recruitment and screening flowchart.
Published 2025“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
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1076
Factors influencing body fat percentage at Q2.
Published 2025“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
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1077
Factors influencing body fat percentage at Q1.
Published 2025“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
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1078
STROBE flowchart.
Published 2025“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
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1079
Factors influencing FFM at Q1.
Published 2025“…The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”
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1080
Table 1_Effects of dietary amylose/amylopectin ratio on antioxidant ability and amino metabolism in the liver of weaned piglets undergoing feed transition and challenged with lipop...
Published 2025“…Serum immunoglobulin G (IgG) concentration increased in DAR 0.80 but decreased in other groups after LPS stress (p < 0.05). …”