The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

“…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. (B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …”

<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

“…The locomotion values (traces and metrics) are in arbitrary units with larger integers representing a greater displacement of the spherical treadmill, the hemodynamic (Hbt) values (traces and metrics) are a percentage change from the normalised baseline (prior to stimulus presentation), and the corresponding time series vector is presented in seconds. …”

Result of different feature selection methods: (a) feature selection results based on MIC; (b) feature selection results based on RFECV; (c) feature selection results based on MDA. by Zhen Zhao (159931)

Subjects:

Feature selection and feature importance ranking. by Mingkai Wang (9650918)

“…<p>A: The flowchart of feature selection based on the RFE algorithm. B: The RFE results reflect the changes in the average R2 of the 20-fold pair-level cross-validation as the number of RFE rounds increases and the number of features decreases. …”

Number of features selected. by Islam Zada (21755819)

“…In this paper, a Lean-based hybrid Intrusion Detection framework using Particle Swarm Optimization and Genetic Algorithm (PSO-GA) to select the features and Extreme Learning Machine and Bootstrap Aggregation (ELM-BA) to classify the features is introduced. …”

Some examples of selected Chinese characters. by Weijia Zhu (65481)

“…However, traditional methods are time-consuming, especially for complex fonts or large character sets. Font transfer streamlines this process by learning font transitions to generate multiple styles from a target font. …”

Increasing fractions of mobilized and static taxa in the microbial streamwater community, with a corresponding decrease in the fraction of diluted microbial taxa, detail the shift... by Dawn R. URycki (9659702)

Percentage of exhale flux penetrating through the mask fabric for different values of <i>c</i>_<i>k</i>; a–c and d–f decreasing porosity for outward and inward protection... by Akshay Anand (118579)

Correlation heatmap of selected features. by Islam Zada (21755819)

“…In this paper, a Lean-based hybrid Intrusion Detection framework using Particle Swarm Optimization and Genetic Algorithm (PSO-GA) to select the features and Extreme Learning Machine and Bootstrap Aggregation (ELM-BA) to classify the features is introduced. …”

IG feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

“…This study proposes an IDS model for the IoMT that integrates advanced feature selection techniques and deep learning to enhance detection performance. …”

RFE feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

“…This study proposes an IDS model for the IoMT that integrates advanced feature selection techniques and deep learning to enhance detection performance. …”

The wetting feature of compound solutions. by Xinhui Luo (11880086)

The basic process of feature selection of the random forest algorithm. by Jintao Li (448681)

Dynamical features of spontaneous firing activities in the two-cortical-column model. by Farhad Razi (22076077)

Data of the article "The physiological cost of being hot: High thermal stress and disturbance decrease energy reserves in dragonflies in the wild" by Eduardo Ulises Castillo-Pérez (20869904)

“…Despite this, individuals from disturbed sites were larger but had lower energy reserves than those from preserved sites. …”

Biases in larger populations. by Sander W. Keemink (21253563)

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”

Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

The PRAME-AS knockout cells showed a decrease in migration, proliferation, stemness, and viability. by Zahra Hosseininia (22265113)

Contribution of the through-mask leakages from the cavity and channel network distributed along the periphery of the mask; a–c and d–f are decreasing porosity <i>c</i><sub><i>k</i>... by Akshay Anand (118579)

Parameter optimal (a) n_estimators; (b) max_depth; (c) max_features. by Zhen Zhao (159931)

Subjects: