Schematic diagram of the mechanism by which curcumin ameliorates aging-induced TJ damage in SCs. by Chen Xue (699418)

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D-gal-induced aging leads to reduced autophagy levels in SCs, which are restored by curcumin <i>in vitro.</i> by Chen Xue (699418)

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Flowchart of the study participants. by Subeen Kim (11714313)

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Characteristics of study participants in women according to frailty groups. by Subeen Kim (11714313)

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Percentage of macronutrient intake relative to the acceptable macronutrient distribution range (AMDR) by frailty groups. by Subeen Kim (11714313)

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Basic characteristics of the study participants by gender. by Subeen Kim (11714313)

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Curcumin restores D-gal-induced SCs TJ injury through autophagy activation <i>in vitro.</i> by Chen Xue (699418)

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Socio-demographic and medical characteristics of patients with liver cancer. by Ayana Ablayeva (22103708)

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GLM models for predictors of monthly HIV costs. by Drew B. Cameron (10687420)

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Data cleaning and preparation algorithm. by Ayana Ablayeva (22103708)

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A comparison of Paraquat concentrations ^a in various types of plants. by Vivat Keawdounglek (9710710)

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Purposive Sampling of Traditional Lanna Restaurants. by Vivat Keawdounglek (9710710)

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CONSORT of participants with OPV status. by Zahid Hasan Khan (6281396)

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Crude and age-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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Laab Nuer^a. ^a Photographed by Vivat Keawdounglek. by Vivat Keawdounglek (9710710)

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Selection model estimates for gender-specific determinants of participation in cricket farming. by Nancy Ndung’u (21601567)

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Association of <i>Shigella</i> infections with EE biomarker concentration over time. by Haley A. Liakakos (21445884)

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Median cost (USD) per visit breakdown. by Drew B. Cameron (10687420)

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A conceptual framework of adoption cricket farming and its effect on household food security. by Nancy Ndung’u (21601567)

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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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