Model fit and class prevalence for baseline LCA models with varying numbers of classes and residual associations (N = 619). by Carolin Oetzmann (11397968)

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Mean 0-20 m sprint times for TSG, VBT, and CG groups at pre-test and post-test (with 95% CI). by Murat Tutar (22250461)

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Distribution of groups of municipalities formed by municipalities with similar fertility rate of women aged 10 to 14 years in the pre-pandemic period (on the left) and in the pande... by Rosa Maria Soares Madeira Domingues (2795005)

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Mean 0-10 m sprint times for TSG, VBT, and CG groups at pre-test and post-test (with 95% CI). by Murat Tutar (22250461)

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Adjusted multinomial logistic regression models of class membership at baseline in relation to participant characteristics (N = 432). by Carolin Oetzmann (11397968)

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Trend of mental health-related services utilization between 2016 and 2022. by Fernanda Talarico (807333)

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Comparison of mental health-related services utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

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Trend of all service utilization for all conditions between 2016 and 2022. by Fernanda Talarico (807333)

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Transition probabilities and class sizes for three-step LTA model (N = 432). by Carolin Oetzmann (11397968)

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IFA significantly attenuated capsule-mediated resistance to the binding of C3b and C5b-9 to bacterial surface. by Tingting Wang (123983)

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Comparison of soil moisture in different microtoporaphies (Note: Different letters in the same column indicate significant differences (P < 0.05)). by Qingping Gou (22641045)

Model selection based on best fit. by Angelina Mageni Lutambi (22097223)

“…<div><p>Malaria remains a significant public health challenge, particularly among vulnerable populations in high-burden countries like Tanzania. …”

Distribution of the same ingredient across different IDDSI levels (Percentages and frequencies) and statistical significance analysis (Chi-square analysis). by Muxi Chen (9294270)

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The 160 differentially expressed proteins significantly elevated in the severe injury group compared to the mild injury group and their folding changes. by Huiyang Jia (14444661)

Coastline variations in different years. Map data were generated with Natural Earth (http://www.naturalearthdata.com/). by Zihao Duan (17403792)

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Study area of the Caspian Sea. by Zihao Duan (17403792)

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(a) Change rates were calculated for each transect along the coastlines from 1985 to 2023; (b) Coastline change rates of the Caspian Sea based on the EPR and LRR. by Zihao Duan (17403792)

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Water surface transitions from 1984 to 2021. The map data were generated by the Global Surface Water Explorer (https://global-surface-water.appspot.com/faq). by Zihao Duan (17403792)

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The coastline changes of the Aral Sea from 1960 to 2023. Land cover data are from LANDSAT 8 ( by Zihao Duan (17403792)

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(a) Surface area and volume change with water level; (b) Topographic changes in the Caspian Sea. by Zihao Duan (17403792)

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