Study-related adverse events. by Benjamin R. Lewis (22279166)

“…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

Timeline of significant events in the avian influenza outbreak. by Parsa Bastani (22574623)

Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

“…By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”

Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

Overview of the WeARTolerance program. by Ana Beato (20489933)

“…<div><p>The stigma surrounding mental health remains a significant barrier to help-seeking and well-being in youth populations. …”

FPS and FFP values of the basic events of the top event fault tree based on IT2FS. by Mostafa Mirzaei Aliabadi (11060636)

Subjects:

<i>GmNN1/FT2a</i> expression analysis. by Xinxin Li (281237)

FPS and FFP values of the basic events of the top event fault tree based on IT2FS-Z. by Mostafa Mirzaei Aliabadi (11060636)

Subjects:

Subgroup analysis of adverse events based on patient setting. by Julie Zhu (306803)

Forest plot of adverse event. by Yaqin Wang (188672)

Subjects:

Table 2_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.docx by Yiqu Wei (22011386)

Image 4_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif by Yiqu Wei (22011386)

Image 1_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif by Yiqu Wei (22011386)

Image 3_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif by Yiqu Wei (22011386)

Table 1_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.docx by Yiqu Wei (22011386)

Image 2_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif by Yiqu Wei (22011386)

Pathway analysis based on the protein accessions from the significant glycopeptiforms separately for glycation and glycosylation. by Yishai Levin (702481)

Subjects:

Example of a recognized event chain. by Xizhen Xu (476895)