Machine Learning Model Performance Sorted by Decreasing MAE. by Renan N. D. Almeida (9265283)

Additional variable significance. by Benjamin T. Newman (18397604)

Dose- and time-dependent effect of IL-13, IL-4, and TGF-β1 on benzamil-sensitive <i>I</i>_sc and TEER in HBECs. by Anusree Sasidharan (19226521)

Effect of ex vivo treatment with rhTGFβ1 or a TGFβ1 inhibitor on monocyte responses to rgE stimulation. Monocytes and NK cells purified from PBMC collected from 10 RZV recipients (demographics in S4 Table) before vaccination (D0) and 90 days post-vaccination (D90) were combined ex vivo and stimulated with VZV-rgE. A subset of D0 monocyte & NK cocultures was also treated with the TGFβ1 inhibitor LY (D0 LY), and a subset of D90 cocultures were supplemented with rhTGFβ1. The graph shows individual data points, means and p values calculated by Friedman test for repeated measures with FDR correction. LY treatment of cells collected on D0 significantly increased their activation to levels similar to D90.... by Michael J. Johnson (5818168)

“…LY treatment of cells collected on D0 significantly increased their activation to levels similar to D90. …”

Summary of significant treatment × time effect. by Wensheng Xiao (16557866)

Variations in the mean force coefficients. by Shantanu S. Bhat (5446082)

Subjects:

The human neutrophil IL-1β secretory response, in contrast to the CXCL8/IL-8 secretory response decreases as MOI increases. by Florencia Sabbione (4862455)

Increased expression of PD-1 and CTLA-4 on Treg in CAP, without no significant difference in the frequency of Treg. by Haihong Gong (13235163)

CFU-Mk is significantly decreased by GATA1s overexpression in <i>GATA1s</i> strains. by Shiori Matsuo (10492159)

Comparing demographic data (mean values). by Tamer Shousha (10960632)

Subjects:

Ranges of significant and not-significant ATEs for Roman Urdu. by Ehtesham Hashmi (21540048)

Subjects:

Mean case duration before and after intervention (t-statistic = -3.35, p <i>< </i>0.001), indicating a statistically significant difference in means. by Mohammad Bakhtiari (11838264)

The mean and standard deviation of parameters. by Sadaf Sepasgozar Sarkhosh (20436143)

General characteristics. by Juho An (19434375)

Subjects:

Bayesian structural time series models estimating the observed (solid line) and forecasted (dashed line) numbers of patients with accidental poisoning who visited emergency departm... by Juho An (19434375)

Subjects:

Intentional poisoning. by Juho An (19434375)

Subjects:

Bayesian structural time series models estimating the observed (solid line) and forecasted (dashed line) numbers of patients with intentional poisoning who visited emergency depart... by Juho An (19434375)

Subjects:

Accidental poisoning. by Juho An (19434375)

Subjects:

Bayesian structural time series models estimating the observed (solid line) and forecasted (dashed line) numbers of total patients with poisoning who visited emergency departments... by Juho An (19434375)

Subjects:

Meaning of Each Model. by Yutong Liu (4027994)

“…The findings not only highlight the advantages of the improved model but also offer new ideas and directions for future related research.…”