(A) Time taken to reach platform in hidden trail, (B) Time taken to reach platform in visible trail, (C) Latency time to reach platform zone and (D) Time spent in platform zone in... by Hammad Ismail (4227988)

A principled method to find OL enhancers for <i>Sox10.</i> by Hongjoo An (21703199)

Primary monocytes at 1 x 10⁶ cells were seeded in a flask and supplemented with RPMI 1640 + GM-CSF + IL-4 and incubated at 37°C for 6 days for monocyte to macrophage tra... by Janani Madhuravasal Krishnan (19736002)

Participant retention flowchart. by Carolin Oetzmann (11397968)

“…We used latent class and latent transition analysis to identify subtypes at baseline, determined their consistency at 6- and 12-month follow-ups, and examined transitions over time. We identified a 4-class solution: (1) severe with appetite decrease, (2) severe with appetite increase, (3) moderate severity and (4) low severity. …”

Cohort characteristics. by Fernanda Talarico (807333)

“…</p><p>Results</p><p>The analysis reveals a significant decrease in all health services utilization from 2016 to 2019, followed by an increase until 2022. …”

Distribution of groups of municipalities formed by municipalities with similar fertility rate of women aged 15 to 19 years in the pre-pandemic period (on the left) and in the pande... by Rosa Maria Soares Madeira Domingues (2795005)

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)

Clinical data of the control and CoA cases in our cohort. by Inmaculada Villanueva-Baxarias (21454246)

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

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

Probabilities of endorsing depressive symptoms derived from baseline 4-class latent class analysis (N = 619). by Carolin Oetzmann (11397968)

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

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

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

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

The global disease burden of <i><i>Klebsiella pneumoniae</i></i> associated LRI for both sexes in 204 countries and territories. (a) The number of deaths in 2021; (b) The EAPC of d... by Juanjuan Li (399633)

(A) Cardiovascular Disease and (B) type-2 Diabetes Mellitus, and (C) chronic kidney disease- related Age-Adjusted Mortality Rates per 100,000 in Adults in the United States, 1999 t... by Aman Goyal (19231397)

Table 2_Prognostic significance of collagen content in solitary fibrous tumors of the central nervous system.docx by Xiaoling Li (129705)

“…Additionally, the signal intensity of SFTs on T2-weighted imaging (T2WI) decreased with increasing collagen content. Radiomics analysis identified 1,702 features from each patient’s region of interest, with 12 features showing significant differences between the high and low collagen content groups. …”

Table 4_Prognostic significance of collagen content in solitary fibrous tumors of the central nervous system.docx by Xiaoling Li (129705)

“…Additionally, the signal intensity of SFTs on T2-weighted imaging (T2WI) decreased with increasing collagen content. Radiomics analysis identified 1,702 features from each patient’s region of interest, with 12 features showing significant differences between the high and low collagen content groups. …”

Table 3_Prognostic significance of collagen content in solitary fibrous tumors of the central nervous system.docx by Xiaoling Li (129705)

“…Additionally, the signal intensity of SFTs on T2-weighted imaging (T2WI) decreased with increasing collagen content. Radiomics analysis identified 1,702 features from each patient’s region of interest, with 12 features showing significant differences between the high and low collagen content groups. …”