Journal: Scientific Reports

Article Title: A multi dataset validation model for hybrid feature selection in wind energy maximum power point tracking systems

doi: 10.1038/s41598-026-41602-3

Figure Lengend Snippet: ( a )–( f ): MI score distribution results for ( a ) MI score range (minimum–maximum), ( b ) mean MI with standard deviation, ( c ) top 10% vs. bottom 10% mean MI scores, ( d ) total features per dataset, ( e ) distribution skewness, and ( f ) distribution kurtosis. Together, the panels illustrate dataset-specific variability in FS across Kelmarsh Wind Farm, Reverse-Acting Controller, and VV Wind Farms.

Article Snippet: Reverse-Acting Controller Wind Energy Conversion System (RAC-WECS) Dataset: Publicly available from Mendeley Data at 10.17632/363d24mcb6.2 (González-Hernández et al., 2021).

Techniques: Standard Deviation

Journal: Scientific Reports

Article Title: A multi dataset validation model for hybrid feature selection in wind energy maximum power point tracking systems

doi: 10.1038/s41598-026-41602-3

Figure Lengend Snippet: ( a )–( c ): Top-ranked features by MI scores for: ( a ) Kelmarsh Wind Farm; ( b ) VV Wind Farms; ( c ) Reverse-Acting Controller datasets. Each panel lists features in descending order of MI score, highlighting dataset-specific patterns of FS.

Article Snippet: Reverse-Acting Controller Wind Energy Conversion System (RAC-WECS) Dataset: Publicly available from Mendeley Data at 10.17632/363d24mcb6.2 (González-Hernández et al., 2021).

Techniques:

Journal: Scientific Reports

Article Title: A multi dataset validation model for hybrid feature selection in wind energy maximum power point tracking systems

doi: 10.1038/s41598-026-41602-3

Figure Lengend Snippet: ( a ) to ( f ): AMO-BHS convergence analysis results: ( a ) convergence vs. maximum iterations, ( b ) final HMS and Pareto set size, ( c ) hypervolume performance, ( d ) Inverted Generational Distance (IGD), ( e ) convergence rate, and ( f ) efficiency comparison (convergence rate vs. iterations). Results are shown for Kelmarsh Wind Farm, VV Wind Farms, and Reverse-Acting Controller datasets.

Article Snippet: Reverse-Acting Controller Wind Energy Conversion System (RAC-WECS) Dataset: Publicly available from Mendeley Data at 10.17632/363d24mcb6.2 (González-Hernández et al., 2021).

Techniques: Comparison

Journal: Scientific Reports

Article Title: A multi dataset validation model for hybrid feature selection in wind energy maximum power point tracking systems

doi: 10.1038/s41598-026-41602-3

Figure Lengend Snippet: ( a ) to ( f ): Optimal subset features across solution types. ( a ) Feature reduction percentages, ( b ) number of selected features, ( c ) RMSE vs. feature density trade-off, ( d ) computational savings, ( e ) efficiency ratio (savings/RMSE), and ( f ) Error per feature. Results are exposed for Kelmarsh Wind Farm, VV Wind Farms, and Reverse-Acting Controller datasets.

Article Snippet: Reverse-Acting Controller Wind Energy Conversion System (RAC-WECS) Dataset: Publicly available from Mendeley Data at 10.17632/363d24mcb6.2 (González-Hernández et al., 2021).

Techniques:

Journal: Psycho-Oncology

Article Title: Effect of Technology‐Based Psychological Empowerment Interventions on Psychological Well‐Being of Parents of Pediatric Cancer Patients: A Meta‐Analysis of Randomized Controlled Trials

doi: 10.1002/pon.70097

Figure Lengend Snippet: Characteristic of included studies.

Article Snippet: Duan et al. (2024) [ ] China , Randomized controlled trial , 146 parents of children with cancer Intervention group median (IQR) ages: 31.0 (25.0–44.0) years Control group median (IQR) ages: 33.0 (26.0–44.0) years , Intervention group: n = 74 Intervention content : Parents in the WeChat education and care program (WECP) divided into different groups (8‐10 parents per team) and received WeChat‐based mental and physical health education. This education including training materials articles and training videos (instructional videos on meditation and deep breathing). Parents via WeChat group can add the nurse's account and if can communicate one‐to‐one with the nurse when they have problems. Also, parents communicated with each other in the WeChat group Duration : 60 min Frequency : One a week Sessions : 6 months Mode of delivery : Mobile device‐based (mHealth) WeChat education and care program (WECP) , Control group: n = 72 Standard care , – Self‐rating anxiety scale (SAS) score – Self‐rating depression scale (SDS) score – 12‐item general health questionnaire (GHQ‐12) score , SAS scores at T3 (44.8 ± 10.1; 48.8 ± 12.3; p = 0.041) and T6 (43.3 ± 9.3 vs. 47.3 ± 12.1; p = 0.032) were decreased in the WECP group in comparison with the SC group SDS score at T6 WECP group compared to the SC group (42.7 ± 9.1; 46.5 ± 10.0; p = 0.024). Groups (all p > 0.05) General state of health of parents, the GHQ‐12 scores at T3 (4.4 ± 1.7; 5.3 ± 2.0; p = 0.007) and M6 (4.1 ± 1.8; 5.2 ± 1.8; p = 0.001) were reduced in the WECP group in comparison with the SC group , – Baseline (T0) – At the first (T1), third (T3), and sixth (T6) months after the intervention ( follow up ) , —.

Techniques: Control, Comparison