Significant main effect of housing type. by Grace Hecker (18813445)

Significant interactions and main effects of day. by Grace Hecker (18813445)

Behaviors with a significant main effect or interaction. by Grace Hecker (18813445)

Significant main effect of age showing decreased gray matter volume in nearly the entire cortical brain and subcortical cortex. by Zhiliang Long (306092)

Impact of interventions on attendances and disease spectra based on segmented regression analysis. by Weiqin Liu (8489124)

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BLyS^-/- significantly decreased IgM and IgG secreting cells. by Natalie M. Bath (6316517)

Subjects:

Charging station placement optimization based on the location significance prediction by Daria Matkovic (19539339)

“…To address this issue, we introduce a novel approach to optimize the placement of electric vehicle charging stations, integrating a novel location-based charging station significance prediction model with a lion optimization algorithm (LOA) where the significance is defined as the combination of charging energy and the number of sessions. …”

The number of gauging cross-sections where a statistically significant decreasing trend was identified. by Krzysztof Kochanek (835532)

Main characteristics of included papers. by Giacomo Stroffolini (11716410)

APRIL^-/- and BLyS^-/- lymphocyte proliferation significantly decreased when challenged with alloantigen. by Natalie M. Bath (6316517)

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MANCOVA’s main and interactive effect results. by Nina Brkić-Jovanović (18886883)

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Comparison of the estimated SNP-based heritability and predictive performance across the 813 traits with significant PRSs. by Yosuke Tanigawa (8805017)

Main characteristics of included studies. by Hamed Akbari (8119361)

Significant driver genes predictive of drug response by SNV. by Zeyuan Wang (6956759)

Survival covariate significance in survival prediction. by Teemu J. Rintala (19333003)

Process of UWB location prediction based on LSTM. by Li Wang (15202)

“…In comparison to conventional approaches such as the least squares method (LS) and the Kalman filter method (KF), the proposed SO-LSTM-based positioning method significantly reduces the root mean square error (RMSE) by 63.39% and 58.01%, respectively, while also decreasing the maximum positioning error (MPE) by 60.77% and 52.65%.…”

Leptin receptor deficiency caused decrease in cortical bone mainly in female mice. by Devorah M. Natelson (8807576)

The descriptive statistics of the main variables. by Caihong Wen (17904307)

Statistical significance results based on dominant hand measurements. by Mehmet Yetiş (10654227)

3D features significantly improve CRISPR prediction. by Shaked Bergman (18784567)

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