Crude and type-specific incidence rates (A), all-cause mortality rates (B), and prevalence rates (C) of liver cancer per 100,000 over 2014–2023. by Ayana Ablayeva (22103708)

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Crude and residence-specific incidence rates (A), all-cause mortality rates (B), and prevalence rates (C) of liver cancer per 100,000 over 2014–2023. by Ayana Ablayeva (22103708)

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Interaction of prepubertal adverse childhood experiences (ACEs) group and self-reported decrease in sexual desire attributed to hormonal contraception (HC) use on expected valence... by Andrew M. Novick (12059859)

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Age-adjusted annual percent changes (APC) in incidence (A), mortality (B), and prevalence (C) rates per 100,000 over 2014–2023 for both sexes and sex-specific. by Ayana Ablayeva (22103708)

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Clinical factors affecting renal response to dulaglutide. by Sungmin Kim (628527)

Myeloid cell development is negatively affected by the addition of PCP in the 0, 24, 48, and 72 hpf treatment groups. by Aleeza Namit (12295157)

Blood development and circulation is negatively affected by the addition of PCP in the 0, 24, 48, and 72 hpf treatment groups. by Aleeza Namit (12295157)

Decrease of injuries. by Petr Fulin (8380320)

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PBM significantly reduces hyperphosphorylation of tau with no effect on total tau expression. by Kevin J. Johnson (2647639)

The red blood cell-platelet ratio affects prognosis. by Jie Zhao (49409)

Baseline patient characteristics. by Oscar F. C. van den Bosch (22184246)

“…While mean respiratory rate was not affected, midazolam resulted in a significant decrease in both VRR (ß = −0.071, 95% CI: −0.120 to −0.021) and VTV (ß = −0.117, 95% CI: −0.170 to −0.062). …”

Silencing or activating IR52a⁺ neurons in males affects sexual behavior. by Zhe He (508742)

Networks of affect states: Significant paths. by Anna Kuranova (8460411)

“…<p>In this figure, affect states networks are visualized for the Stable and the Increase groups. …”

S1 Data - by Genzhu Wang (8449938)

Subjects: “…forest characteristics significantly…”

Characteristics of the sample plots. by Genzhu Wang (8449938)

Subjects: “…forest characteristics significantly…”

Multiple linear regressions of carbon storage fraction of different components. by Genzhu Wang (8449938)

Subjects: “…forest characteristics significantly…”

Carbon concentrations (g/kg) of different <i>D</i>. <i>viscosa</i> components for different vegetation types. by Genzhu Wang (8449938)

Subjects: “…forest characteristics significantly…”

Fig 2 - by Genzhu Wang (8449938)

Subjects: “…forest characteristics significantly…”

Biomass and carbon storage of single plants of <i>D</i>. <i>viscosa</i> for different components in different vegetation types. by Genzhu Wang (8449938)

Subjects: “…forest characteristics significantly…”

Environmental factors of the sample plots after 7 years afforestation. by Genzhu Wang (8449938)

Subjects: “…forest characteristics significantly…”