Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation by Xiaoyu Shen (4715430)

“…Nevertheless, research on glycosyltransferase-related lncRNAs (GTRLs) in endometrial cancer (EC) is still unclear. In this study, we constructed a novel prognostic model based on GTRLs using univariate Cox regression, Lasso, and multivariate stepwise Cox regression analysis. …”

REVIGO plots of significantly enriched GO <i>Biological Process</i> terms. by Richard A. Radcliffe (9557984)

Data_Sheet_1_Simulating the Cortical Microcircuit Significantly Faster Than Real Time on the IBM INC-3000 Neural Supercomputer.pdf by Arne Heittmann (11976065)

Parasite burden is significantly decreased in the small intestine of <i>taiep</i> infected rats. by Karen Elizabeth Nava-Castro (6940340)

List of the hub-genes whose degree decreased from IL and PL to LHB. by Souvik Seal (12437166)

Subjects:

List of post processed metabolites. by Nisa Leksungnoen (18966403)

Flowchart of the search process. by Razieh Bidhendi-Yarandi (7139387)

“…The results of meta-regression analyses revealed a statistically significant trend showing a gradual decrease in the prevalence of the composite outcome of anxiety and/or depression over time (RD = -0.004,P = 0.022). …”

Univariate linear regression analysis of scales. by Xiangyu Wang (341093)

“…<div><p>Objective</p><p>Body image perception significantly impacts university students’ well-being and potentially their creativity. …”

Linear regression between PCB TEQ and ∑PCB in different study areas. by Matti Viluksela (321291)

Linear regression between ∑PCB and ∑indicator PCB in different study areas. by Matti Viluksela (321291)

Processed data set used in this article. by Ilona Alberca (12046917)

Primers used for vagal sensory ganglia qPCR. by Nathalie A. J. Verzele (18389733)

“…In the present study, we employed surgical, genetic, and pharmacological approaches to manipulate pulmonary vagal sensory neuron innervation and activity in the lungs to explore potential crosstalk between pulmonary sensory neurons and immune processes. …”

Example of the recruitment process for study participants using RDS. by Masunga K. Iseselo (7300460)

ANOVA test of the linear regression model. by Dania AL-Najjar (11840857)

Subjects:

Presentation_1_Decreased Plasma Hydrogen Sulfide Level Is Associated With the Severity of Depression in Patients With Depressive Disorder.PDF by Yuan-Jian Yang (5237552)

“…Compared with healthy controls (1.02 ± 0.34 μmol/L), the plasma H₂S level significantly decreased in patients with mild depression (0.84 ± 0.28 μmol/L), with moderate depression (0.62 ± 0.21μmol/L), and with severe depression (0.38 ± 0.18 μmol/L). …”

Supp Tables 1 and 2 from Tropical mammal functional diversity increases with productivity but decreases with anthropogenic disturbance by Daniel Gorczynski (10093617)

“…We use occupancy values derived from the camera trap data to calculate occupancy-weighted functional diversity and use Bayesian generalized linear regression to determine the effects of multiple predictors. …”

TEAM Site Funct bi from Tropical mammal functional diversity increases with productivity but decreases with anthropogenic disturbance by Daniel Gorczynski (10093617)

“…We use occupancy values derived from the camera trap data to calculate occupancy-weighted functional diversity and use Bayesian generalized linear regression to determine the effects of multiple predictors. …”

Literature screening process. by Hailun Kang (19009263)

Improvement of CBS to CBR process. by Pingping Yan (462509)

“…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”

Image_1_Decrease in Serum Urate Level Is Associated With Loss of Visceral Fat in Male Gout Patients.tif by Zijing Ran (11429935)

“…By multiple regression model, ΔSU was identified to be a significant determinant variable of decrease in VFA (beta, 0.302; p = 0.001).…”