DHE reports decreased cholesterol uptake by ∆<i>mceG</i> Mtb. by Yue Chen (73753)

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>. …”

<b>Aversive learning decreases aversive-reinforcer sensitivity</b><b> </b><b>in honey bees</b> by Martin GIURFA (8649351)

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)

Assessment values of machine learning models. by Bin Pan (742525)

Subjects:

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

Loss of ECRG4 expression decreases neutrophil mobilization from bone marrow reserves. by Katie D. Pool (20141584)

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)

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)

K-means results. by Fei Zhang (85787)

“…<div><p>This study aims to investigate the dynamics of basketball game pace and its influence on game outcomes through a novel intra-game segmentation approach. By employing K-means clustering on possession duration, we categorized possessions from 1,141 NBA games in the 2019–2020 season into high-frequency (HFS), low-frequency (LFS), and normal-frequency segments (NFS). …”

Comparison of ASE values with 95% bootstrap confidence intervals (CIs) and paired <i>t</i>-test <i>p</i>-values for BP() and NB() under equal sample sizes (). by Mahmut Sami Erdoğan (22097195)

Different calculated values for indication of resistance for each combination of mutant and inhibitor against IRP. by J. Roadnight Sheehan (20141887)