Distributions of the largest component size and density as a function of network size and concurrency: In this figure we reproduce some of the information in <b>Figure 1</b> for ne... by Nicole Bohme Carnegie (310082)

“…The middle row shows the size distribution of the largest component as a percentage of the network, and the bottom row shows the distribution of the density of the largest components. …”

Image_4_Use of Clinical Isolates to Establish Criteria for a Mouse Model of Latent Cryptococcus neoformans Infection.jpeg by Minna Ding (12031985)

“…Cells expressing the T_bet transcription factor were the predominant activated CD4 T-cell subset in the lungs during the latent infection. These T_bet-expressing T-cells had decreased IFNγ production, which may have implications in the capacity of the cells to orchestrate the pulmonary immune response. …”

Image_3_Use of Clinical Isolates to Establish Criteria for a Mouse Model of Latent Cryptococcus neoformans Infection.jpeg by Minna Ding (12031985)

“…Cells expressing the T_bet transcription factor were the predominant activated CD4 T-cell subset in the lungs during the latent infection. These T_bet-expressing T-cells had decreased IFNγ production, which may have implications in the capacity of the cells to orchestrate the pulmonary immune response. …”

Image_1_Use of Clinical Isolates to Establish Criteria for a Mouse Model of Latent Cryptococcus neoformans Infection.jpeg by Minna Ding (12031985)

“…Cells expressing the T_bet transcription factor were the predominant activated CD4 T-cell subset in the lungs during the latent infection. These T_bet-expressing T-cells had decreased IFNγ production, which may have implications in the capacity of the cells to orchestrate the pulmonary immune response. …”

Image_5_Use of Clinical Isolates to Establish Criteria for a Mouse Model of Latent Cryptococcus neoformans Infection.jpeg by Minna Ding (12031985)

“…Cells expressing the T_bet transcription factor were the predominant activated CD4 T-cell subset in the lungs during the latent infection. These T_bet-expressing T-cells had decreased IFNγ production, which may have implications in the capacity of the cells to orchestrate the pulmonary immune response. …”

Image_2_Use of Clinical Isolates to Establish Criteria for a Mouse Model of Latent Cryptococcus neoformans Infection.jpeg by Minna Ding (12031985)

“…Cells expressing the T_bet transcription factor were the predominant activated CD4 T-cell subset in the lungs during the latent infection. These T_bet-expressing T-cells had decreased IFNγ production, which may have implications in the capacity of the cells to orchestrate the pulmonary immune response. …”

Predicted distance (km) needed to achieve a correlation coefficient of at least r =  0.50 using the median-based linear regression models. by Claire Stevens (11127729)

Supplementary Material for: Larger degree of renal function decline in CKD is a favorable factor for the attenuation of eGFR slope worsening by SGLT2 inhibitors: a retrospective ob... by Miyaoka Y. (18280342)

Effects on the probability to choose the larger-but-later (LL) option in the temporal discounting task (N = 28) from a generalized mixed effects regression analysis (glmer model: c... by David Mathar (9707947)

Phagocytosis in unprimed macrophages is independent of growth surface linear stiffness. by Erika J. Gruber (11846156)

Basal production of reactive oxygen species is dependent on linear stiffness. by Erika J. Gruber (11846156)

Fig 1 - by Xuemei Duan (6901601)

Hierarchical multiple linear regressions predicting psychological and physical symptoms. by Alec M. Smidt (14504514)

Hierarchical multiple linear regressions models predicting employee outcomes. by Alec M. Smidt (14504514)

Drop point and rebound rounds^a effects for groups in the empirical and simulated data. by Daniel B. Shank (709756)

Linear trend analysis results for the share of single-person households reporting a problem with crime, violence or vandalism in the area in 2005–2020. by Marlena Piekut (18576002)

Prevalence of antimicrobial resistance to nalidixic acid has an increasing trend from 2002–2016, and antimicrobial resistance to beta-lactam antimicrobials and a beta-lactam/beta-lactamase inhibitor combination exhibit decreasing linear trends from 2002–2016. by Kelly E. Davidson (5464472)

Theoretical model. by Jing-hua Yin (13007541)

Path analysis. by Jing-hua Yin (13007541)

Linear epitope mapping of monoclonal antibody Tc24-C4/884. by Leroy Versteeg (4248760)