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Showing 101 - 120 results of 50,115 for search '(( significant decrease risk ) OR ( significance ((we decrease) OR (mean decrease)) ))', query time: 1.73s Refine Results
  1. 101
    Mean scores compared with paired-samples <i>t</i>-test (and related effect sizes) at pre- and follow-up by age group (<i>n</i> = 662).

    Mean scores compared with paired-samples <i>t</i>-test (and related effect sizes) at pre- and follow-up by age group (<i>n</i> = 662). by Maria Anna Donati (6735548)

    Published 2022
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  2. 102
    DataSheet_1_Decreased TCF1 and BCL11B expression predicts poor prognosis for patients with chronic lymphocytic leukemia.docx

    DataSheet_1_Decreased TCF1 and BCL11B expression predicts poor prognosis for patients with chronic lymphocytic leukemia.docx by Taotao Liang (9944552)

    Published 2022
    “…Altogether, this study demonstrates that decreased TCF1 and BCL11B expression is significantly correlated with poor prognosis, which may be due to decreased TCF1+CD8+ T cells, impairing the effector CD8+ T cell differentiation regulated by TCF1/BCL11B.…”
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  3. 103
    Decreased frequency of CD8+ cells and M1/M2 macrophage ratio in obese mice might indicate an impaired anti-tumoral reponse.

    Decreased frequency of CD8+ cells and M1/M2 macrophage ratio in obese mice might indicate an impaired anti-tumoral reponse. by Aleida Núñez-Ruiz (12463062)

    Published 2022
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  4. 104
    Sodium levels in Canadian restaurant menu items compared to UK National Salt Reduction Initiative (NSRI) targets by UK NSRI food category.

    Sodium levels in Canadian restaurant menu items compared to UK National Salt Reduction Initiative (NSRI) targets by UK NSRI food category. by Caroline G. Middleton (22041479)

    Published 2025
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  5. 105
    Different effects of intervention: We simulate an intervention that decreases the nosocomial transmission rate by a factor of 70% (<i>β</i>→0.3<i>β</i>) starting from January 2011.

    Different effects of intervention: We simulate an intervention that decreases the nosocomial transmission rate by a factor of 70% (<i>β</i>→0.3<i>β</i>) starting from January 2011.... by Tal T. Robin (17847380)

    Published 2024
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  6. 106
    The map of the study site in Jiangling County, Hubei Province, People’s Republic of China.

    The map of the study site in Jiangling County, Hubei Province, People’s Republic of China. by Jiaxin Feng (4926844)

    Published 2023
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  7. 107
    Changes in the prevalence of schistosomiasis infection in humans, livestock, and snails in Jiangling County from 2005 to 2021.

    Changes in the prevalence of schistosomiasis infection in humans, livestock, and snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  8. 108
    Global Moran’s <i>I</i> spatial autocorrelation analysis on average density of living snails in Jiangling County from 2005 to 2021.

    Global Moran’s <i>I</i> spatial autocorrelation analysis on average density of living snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  9. 109
    Local spatial autocorrelation analysis of the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.cn/ngcc/ with credit to National Geomatics Center of China.

    Local spatial autocorrelation analysis of the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.... by Jiaxin Feng (4926844)

    Published 2023
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  10. 110
    Results of Joinpoint model analysis on trends of schistosomiasis-related epidemic indicators in Jiangling County from 2005 to 2021.

    Results of Joinpoint model analysis on trends of schistosomiasis-related epidemic indicators in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  11. 111
    Fig 4 -

    Fig 4 - by Jiaxin Feng (4926844)

    Published 2023
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  12. 112
    Central and discrete trend changes for the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.cn/ngcc/ with credit to National Geomatics Center of China.

    Central and discrete trend changes for the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.cn/... by Jiaxin Feng (4926844)

    Published 2023
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  13. 113
    Distribution of hot spot areas for the average density of living snails in Jiangling County from 2005 to 2021.

    Distribution of hot spot areas for the average density of living snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  14. 114
    Investigation results of schistosomiasis in humans, livestock and investigation on snails in Jiangling County from 2005 to 2021.

    Investigation results of schistosomiasis in humans, livestock and investigation on snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  15. 115
    Analysis of kernal density for the average density of living snails in Jiangling County from 2005 to 2021.

    Analysis of kernal density for the average density of living snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  16. 116
    Changes in the average density of living snails and the occurrence rate of frames with snails in Jiangling County from 2005 to 2021.

    Changes in the average density of living snails and the occurrence rate of frames with snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  17. 117
    Average stability values (mean ± standard deviation) and statistical results.

    Average stability values (mean ± standard deviation) and statistical results. by Hyung Suk Yang (20442438)

    Published 2024
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  18. 118
    Bendamustine treatment of haematological malignancies: significant risks of opportunistic viral, fungal and bacterial infections

    Bendamustine treatment of haematological malignancies: significant risks of opportunistic viral, fungal and bacterial infections by Tony K.Y. Wu (12531048)

    Published 2022
    “…Age remained the only significant risk on multivariate analysis. CMV reactivation resulted in retinitis (<i>N</i> = 4), ependymitis/ventriculitis (<i>N</i> = 1) and duodenitis/colitis (<i>N</i> = 1). …”
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  19. 119
    Table1_CLEC16A variants conferred a decreased risk to allergic rhinitis in the Chinese population.DOCX

    Table1_CLEC16A variants conferred a decreased risk to allergic rhinitis in the Chinese population.DOCX by Yongliang Niu (14245295)

    Published 2022
    “…</p><p>Results: Totally, CLEC16A (rs887864, rs12935657, rs2286973, rs11645657 and rs36045143) were significantly associated with AR risk. Therein, rs2286973, rs11645657 and rs36045143 were related to a decreased risk of AR in the people ≤ 43 years old, females and the people with BMI≤24, respectively. …”
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  20. 120
    Table1_CLEC16A variants conferred a decreased risk to allergic rhinitis in the Chinese population.DOCX

    Table1_CLEC16A variants conferred a decreased risk to allergic rhinitis in the Chinese population.DOCX by Yongliang Niu (14245295)

    Published 2022
    “…</p><p>Results: Totally, CLEC16A (rs887864, rs12935657, rs2286973, rs11645657 and rs36045143) were significantly associated with AR risk. Therein, rs2286973, rs11645657 and rs36045143 were related to a decreased risk of AR in the people ≤ 43 years old, females and the people with BMI≤24, respectively. …”
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