Data Extraction Sheet: A sheet that contains the data that we extracted from the included studies. by Mohamed R. Abdelraouf (21501468)

FcRn KO significantly reduces colocalization between late endosomal and lysosomal compartments after treatment with ICs. by George Haddad (470789)

List of 1483 genes that were significantly (<i>P</i> < 0.1) increased or decreased in any galactose-treated sample. by Masaya Nagaya (13851123)

PGG nanoparticle treatment decreases the external diameter of aorta and adventitial inflammation. by Saphala Dhital (8630226)

“…</b> The outer diameter of PPE treated aorta expanded up to 70% on day 14, and continue to expand to ~150% at day 28. After the two treatments of PGG nanoparticles starting at day 14, the external diameter of the aorta significantly decreased. * p < 0.0001 as compared to PPE treated controls. …”

Umbelliprenin treatment decreases the activity of the TCF reporter in gastric cancer cells. by Lijing Zhang (463702)

LCN2 treatment does not significantly alter the membrane expression of AMPA receptors or VGLUT2 in the hippocampal neurons. by Jae-Hong Kim (124622)

Total cellular ATP is decreased in melanoma cells after CNP treatment. by Elif Aplak (7430123)

Effect of different treatments on ionic contents like sodium, calcium, potassium, phosphorous and soluble proteins constituents of two wheat genotypes (Markaz 19 and Ujala 16) afte... by Nida Mansoora (11648641)

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SRC-3 treatment decreased tumor growth in a Jeko-1 ibrutinib resistant mouse model. by Imani Bijou (18275174)

Amounts of fertilizers used in the field experiment treatments. by Jie Wei (264772)

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Toward Perfect Surfaces of Transition Metal Dichalcogenides with Ion Bombardment and Annealing Treatment by Wan-Hsin Chen (9581576)

“…Recent efforts have been focused on delicate control of growth conditions to reduce the defect density, whereas the preparation of a defect-free surface remains challenging. Here, we show a counterintuitive approach to decrease surface defects on layered TMDs: a two-step process including Ar ion bombardment and subsequent annealing. …”

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

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

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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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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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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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Association between socio-demographic and medical parameters and all-cause mortality rates of liver cancer between 2014 and 2023. by Ayana Ablayeva (22103708)

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Crude and stage-specific incidence rate of liver cancer per 100,000 over 2014–2023. by Ayana Ablayeva (22103708)

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Crude and age-specific mortality to incidence ratios 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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