The values for <i>k</i>_cat and <i>K</i>_M are sourced from [19]. by J. Roadnight Sheehan (20141887)

Schematic for measuring <i>D</i> and <i>D</i>′ values. by Hong Zhang (25820)

“…A recommended median area factor of 1.43 is therefore proposed. The measured <i>I</i>_s decreases following a power-law trend as <i>β</i> and <i>D</i> increase, with weathering reducing the sensitivity of <i>I</i>_s to <i>β</i> but not significantly altering its sensitivity to <i>D</i>. …”

All TPM values. by Hyuk Sung Yoon (20208672)

Modelled policy outcomes, with posterior values for individual nodes ranked from 1-5 across the parties - Green, Reform UK, Liberal Democrat, Conservative, and Labour, where 1 is the lowest rank and 5 is the highest. The parties are ranked for each policy node in the network (e.g., income tax), based on the direction of change (“performance indicator”) stated in the first column (e.g., lowest, highest, most, improvement). For example, a value of 5 for Green tax means that green tax is lowest under Reform UK’s policies, while a value of 1 means that green tax is highest under the Green Party’s policies. Larger text in bold and italic font indicates that the directional change (i.e., increase or decrease) of a node under a party’s policies is consistent with the direction indicated, whereas black text indicates an opposite directional change (e.g., income tax is predicted to decrease under Reform UK in alignment with the performance indicator, and increase under Green and Labour). by Richard Stafford (174326)

“…Larger text in bold and italic font indicates that the directional change (i.e., increase or decrease) of a node under a party’s policies is consistent with the direction indicated, whereas black text indicates an opposite directional change (e.g., income tax is predicted to decrease under Reform UK in alignment with the performance indicator, and increase under Green and Labour).…”

The values approximated and calculated for and for the WT and each mutant Abl1 enzyme. by J. Roadnight Sheehan (20141887)

Comparison of with changed values of <i>λ</i> and M. by Siva Sankari (2827295)

PPI Network Analysis, Hub DEGs Identification, and Survival Analysis in HCC. by Jianhua Zhong (11351726)

Subjects:

Explanation of condition nodes and decision nodes in the SCM, ordered by decreasing centrality. by Stella D. Juventia (19961247)

Original data2. by Lan Zeng (638254)

“…Overexpressing of <i>RP11-502I4.3</i> resulted in decreased VEGF levels. Diabetic rats exhibited retinopathy characterised by thinning of the retinal layer thickness, structural changes in the inner and outer nuclear layers, a reduced count of retinal ganglion cells, and the presence of acellular capillaries. …”

Original data1. by Lan Zeng (638254)

“…Overexpressing of <i>RP11-502I4.3</i> resulted in decreased VEGF levels. Diabetic rats exhibited retinopathy characterised by thinning of the retinal layer thickness, structural changes in the inner and outer nuclear layers, a reduced count of retinal ganglion cells, and the presence of acellular capillaries. …”

Cellular migration in LECs of βA3ΔG91 vs. WT mice using the scratch and transwell assays. by Akosua K. Boateng (21672931)

Stability differences between condition 1 and other conditions across participants on the hemiparetic (HP) side. by Hyung Suk Yang (20442438)

Subjects:

Concentration profiles of a particle in the liquid phase at different values of acceleration, where <i>S</i>_<i>T</i>=-0.01. by Xiaoxia Liu (294088)

Concentration profiles of a particle in the liquid phase at different values of acceleration, where <i>S</i>_<i>T</i>=0.01. by Xiaoxia Liu (294088)

An increase in MOI decreases neuronal dendrite numbers. by Emily Z. Tabaie (16630841)

Photographs showing the petrographic characteristics of saddle dolomite cement (Sd). by Haofu Zheng (22655834)

Photographs of SEMS showing the hydrothermal minerals in Sd. by Haofu Zheng (22655834)

Stability differences between condition 1 and other conditions across participants on the non-hemiparetic side (NHP) side. by Hyung Suk Yang (20442438)

Subjects:

Median SHAP values (calculated for CSCHF at age 5000 days) for binary features in the competing risks RSF model for different disease categories. The features are sorted in decreas... by Eric Wang (30587)

Pharmacological treatment does not influence endothelial cell identity or cell size but decreases the nuclear size. by Katrin Kalies (13217811)