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

Subjects:

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

Subjects:

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)

Subjects:

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)

Subjects:

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)

Subjects:

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)

Subjects:

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

Subjects:

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

Subjects:

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)

Subjects:

Sample Data. by Ignacio García-Espona (21395335)

Subjects:

Complementary conditioning measures in healthy subjects. by Gabriela Ribeiro (4748373)

“…<b>(I) Novelty</b> ratings significantly decreased from pre to post-conditioning (F_(1,51) = 10.2, <i>P</i> = 0.002; post hoc CS^-, <i>P</i> = 0.0001; post hoc CS⁺, <i>P</i> = 0.01) but similarly for both stimuli (F_{(1, 51)} = 0.17, <i>P</i> = 0.7; Interaction: F_{(1, 51)} = 1.1, <i>P</i> = 0.3). …”

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

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

Characteristics of the participants (%): Lifestyle (category). by Chul-young Bae (14709766)

Subjects: