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linear decrease » linear increase (Expand Search)
significant largest » significantly larger (Expand Search), significant changes (Expand Search), significant dangers (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
linear decrease » linear increase (Expand Search)
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2621
Data Sheet 1_New prognostic features and personalized treatment strategies of mitochondrial related genes in colorectal cancer patients.docx
Published 2025“…Key mitochondrial genes, including SUCLG2, ACACB, OSBPL1A, and TRAP1, have been identified as significant prognostic markers in CRC. The expression of ACACB and OSBPL1A progressively increased, while SUCLG2 and TRAP1 expression decreased in patients. …”
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2622
Data Sheet 1_Lack of association between genetic variations in CYP3A5 and blood pressure or hypertension risk in the UK biobank.pdf
Published 2025“…While some previous studies reported that CYP3A5 variants were associated with decreased blood pressure and risk of HTN, others reported no associations. …”
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2623
Table 1_Association between the dietary index for gut microbiota and metabolic syndrome in adults: the mediating role of body mass index.docx
Published 2025“…RCS analysis further revealed a linear relationship between DI-GM and MetS prevalence. …”
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2624
Table 1_Dietary caffeine and its negative link to serum Klotho concentrations: evidence from the National Health and Nutrition Examination Survey.docx
Published 2024“…Subgroup analyses indicated that this association was more significant in participants with sedentary activity >480 min and without hypertension.…”
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2625
Data Sheet 1_Global, regional, and national burden of fracture of vertebral column, 1990–2021: analysis of data from the global burden of disease study 2021.docx
Published 2025“…Background<p>Fractures of the vertebral column, encompassing various spinal injuries, represent a significant public health burden worldwide. These injuries can lead to long-term disability, reduced quality of life, and substantial healthcare costs.…”
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2626
Image 2_The global burden of lead exposure-related ischemic stroke: based on Bayesian age-period-cohort analysis.png
Published 2025“…</p>Results<p>In 2019, lead exposure-related ischemic stroke caused a significant disease burden, with males and middle-aged/older adults disproportionately affected. …”
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2627
Table 1_A daily positive work reflection intervention for psychological distress among Chinese nurses: a pilot randomized controlled trial.docx
Published 2025“…</p>Results<p>In addition to significant within group improvements over time for both groups, OLS linear regression with Full Information Likelihood Estimation revealed a statistically significant between group treatment effects across outcome domains, including psychological distress, b = 22.60, p < 0.001, g = 11.34, somatic symptoms, b = 6.79, p < 0.001, g = 6.56, depressive symptoms, b = 8.15, p < 0.001, g = 8.19, and anxiety symptoms, b = 7.69, p < 0.001, g = 8.23.…”
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2628
Table 1_The global burden of lead exposure-related ischemic stroke: based on Bayesian age-period-cohort analysis.docx
Published 2025“…</p>Results<p>In 2019, lead exposure-related ischemic stroke caused a significant disease burden, with males and middle-aged/older adults disproportionately affected. …”
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2629
Image 3_The global burden of lead exposure-related ischemic stroke: based on Bayesian age-period-cohort analysis.png
Published 2025“…</p>Results<p>In 2019, lead exposure-related ischemic stroke caused a significant disease burden, with males and middle-aged/older adults disproportionately affected. …”
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2630
Image 1_The global burden of lead exposure-related ischemic stroke: based on Bayesian age-period-cohort analysis.png
Published 2025“…</p>Results<p>In 2019, lead exposure-related ischemic stroke caused a significant disease burden, with males and middle-aged/older adults disproportionately affected. …”
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2631
Table 1_Oxidative balance score is independently associated with reduced prevalence of sarcopenia among US adults with metabolic syndrome.docx
Published 2025“…Restricted cubic spline analysis confirmed that these relationships were linear. The impact of age was significant, with OBS benefits only observed in those aged 40 and older.…”
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2632
<b>Contrasting strategies, shared risk: 12-yr nitrogen addition compromises hydraulic safety in young and mature trees via distinct pathways</b>
Published 2025“…However, this apparent adaptive response was accompanied by a significant increase in xylem vulnerability to embolism as reflected by the stimulated percentage loss of hydraulic conductivity, indicating a potential trade-off between greater root carbon investment and hydraulic safety. …”
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2633
Glial 5-HT<sub>2a</sub> receptors are necessary and rate limiting for experience-dependent synaptic glomeruli pruning.
Published 2024“…The Or42a OSN innervation volume with glial <i>5-HT</i><sub><i>2A</i></sub><i>R</i> OE is very significantly decreased in comparison to the control EB condition (<i>p</i> = 4.64 × 10<sup>−10</sup>). …”
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2634
Data Sheet 1_Inverse associations of the lifestyle critical 9 with cardiorenal syndrome: the mediating role of the dietary inflammatory index.xlsx
Published 2025“…The dose–response curve illustrates a linear relationship between LC9 and CRS; as LC9 increases, the occurrence of CRS decreases. …”
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2635
Table 1_Inverse associations of the lifestyle critical 9 with cardiorenal syndrome: the mediating role of the dietary inflammatory index.docx
Published 2025“…The dose–response curve illustrates a linear relationship between LC9 and CRS; as LC9 increases, the occurrence of CRS decreases. …”
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2636
Land use intensity classes standard.
Published 2025“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
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2637
Land use transfer matrix 1990-2020 (km<sup>2</sup>).
Published 2025“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
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2638
Study area habitat quality LISA clustering map.
Published 2025“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
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2639
Spato-temporal changes in land use types.
Published 2025“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
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2640
Pattern indices of landscape levels.
Published 2025“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”