Recapitulating experimental biofilm structure required surface motility ABM rules. by Tracy J. Kuper (18452180)

Best performance based on linear and quadratic model. by Alina Bazarova (17138191)

LFP activity recorded from FPC tracks the predicted value of the counterfactual rule. by Matthew Ainsworth (16160798)

Substructures of most significant fingerprint features for the classification of T cell epitopes of the fatty acid derivatives (cluster 2). by Paul F. Zierep (12107410)

Text sentiment analysis process based on sentiment dictionary. by Xiangqi Zhao (16426114)

The fuzzy rules output surface of <i>T</i>_<i>e</i>. by Xiaohui Liu (6412)

The number of ribosomes bound to a single strand of viral RNA is a significant determinant of replication onset and magnitude. by Caroline I. Larkin (21484987)

ROC curves of the models based on the BDHS, 2022 dataset. by Md. Merajul Islam (12646837)

Scatter plot of the D-dimer levels in patients who underwent CTPA according to the YEARS algorithm, in whom PE was ruled out and confirmed, on a base-2 log scale. by Inge H. Y. Luu (14833261)

Model comparison for response feature-based updating. by Fredrik Allenmark (208899)

Subjects:

SMRM by Miguel Inácio (13004807)

“…<p>The SMRM is a reduced complexity, two-dimensional rule-based model of marsh response to SLR that only requires the input of four parameters: (1) a high-resolution DTM, representing both the target marsh area and adjacent surfaces (e.g., tidal flats, backbarrier flats, dunes, alluvial plains), with an acceptable spatial range, resolution and quality to allow simulating marsh expansion; (2) critical tidal levels, representing transition between main intertidal environments and vegetation sensitive to submersion time; in the test-cases addressed herein, the model considers mean high-water neap elevation (MHWN) as the critical boundary between tidal flat and low marsh, mean high-water (MHW) as the transition between low and high marsh, and mean high-water spring (MHWS) as the upper growth limit of the high marsh; (3) at least one SLR projection, including an initial rate and an optional SLR acceleration value; (4) representative accretion/sedimentation rates for high marsh, low marsh and tidal flat domains, which can remain invariant over time or change throughout the century (in this last case, acceleration values of accretion rates must be introduced). …”

C to meta-model DSML transformation rules. by Misbah Mehboob Awan (22783925)

LDA visualization analysis based on <i>pyLDAvis</i>. by Xiangqi Zhao (16426114)

“…Then, the random dominance among various drug factors is determined based on the Stochastic Dominance Rules. Finally, the PROMETHEE–Ⅱ method is used to determine the ranking value of the importance of each factor. …”

Substructures of most significant fingerprint features for the classification of B cell epitopes of the glucoside/oligosaccharide derivatives (cluster 4). by Paul F. Zierep (12107410)

Data_Sheet_1_Minimal Interspecies Interaction Adjustment (MIIA): Inference of Neighbor-Dependent Interactions in Microbial Communities.docx by Hyun-Seob Song (660934)

“…We termed this rule-based inference minimal interspecies interaction adjustment (MIIA). …”

Temporal profile of the position based inter-trial effects. by Fredrik Allenmark (208899)

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Temporal profile of the color-based inter-trial effects. by Fredrik Allenmark (208899)

Subjects:

New Design Rules for Developing Potent Cell-Active Inhibitors of the Nucleosome Remodeling Factor (NURF) via BPTF Bromodomain Inhibition by Huda Zahid (8823089)

Subjects:

Descriptive statistics and t test results for anthropometric and physical performance measures of selected and non-selected 12 year old Australian footballers in a school-based sports academy. Significance was accepted as p <  0.05 and effect sizes were interpreted using Sawizlowsky’s rule of thumb. by Paul Larkin (3932063)

“…<p>Descriptive statistics and t test results for anthropometric and physical performance measures of selected and non-selected 12 year old Australian footballers in a school-based sports academy. Significance was accepted as p <  0.05 and effect sizes were interpreted using Sawizlowsky’s rule of thumb.…”

Symbol representation and definition in the LDA topic model based on Fig 1. by Xiangqi Zhao (16426114)