Comparison cloud indicating the words that appeared most frequently with regard to each type of lecturer (lecturers from the USA, top, blue colour; lecturers not from the USA, bott... by Ignacio García-Espona (21395335)

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Global number of lectures and posters (2013-2023). by Ignacio García-Espona (21395335)

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Emergency department dispositions of the study population. by Hun Gi Lee (21526538)

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Comparison cloud for posters indicating the words that appeared most frequently in each period (2013-2017, top, blue colour; 2018-2023, bottom, red colour). by Ignacio García-Espona (21395335)

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Poster ratios (women/men) by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Kore... by Ignacio García-Espona (21395335)

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Lectures by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Korea, TW: Taiwan, US... by Ignacio García-Espona (21395335)

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Lectures by country and year [Top 2-10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Korea, TW: Taiwan). by Ignacio García-Espona (21395335)

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Univariate and multivariate logistic regression analyses of the impact of Safe-Speed-5030 on the study population. by Hun Gi Lee (21526538)

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Clinical characteristics of the study population. by Hun Gi Lee (21526538)

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Lecturer ratios (women/men) by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Ko... by Ignacio García-Espona (21395335)

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Sample Data. by Ignacio García-Espona (21395335)

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Mean cocaine consumed (mg/kg) over 10 days. by Christopher Rowan (21499924)

“…<div><p>Background</p><p>Cocaine abuse and Cocaine Use Disorder (CUD) is an increasingly urgent public health issue leading to major health risks often resulting in a decreased lifespan and quality of life. Previous human research has described brain function of cocaine addicts however the amount of cocaine use, duration of use, and exclusion of using other drugs (i.e., nicotine and alcohol) have all been difficult to control. …”

Multivariate associations of lifestyle-related parameters with TMAD. by Chul-young Bae (14709766)

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Correlation between age and telomere length (TL) according to sex. by Chul-young Bae (14709766)

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Characteristics of the participants (mean ± SD): Age and biomarkers. by Chul-young Bae (14709766)

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Association between biological age (BA) and telomere age (TMA). by Chul-young Bae (14709766)

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Association between biological age (BA) and telomere age (TMA). by Chul-young Bae (14709766)

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Correlation between age and standardized telomere length (standardized_TL) according to sex. by Chul-young Bae (14709766)

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Correlation between age and telomere age (TMA). by Chul-young Bae (14709766)

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Correlation between telomere age difference (TMAD) and lifestyle. by Chul-young Bae (14709766)

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