Means for STEM competence for pre- and post-test. by Esther Kim (2996622)

Participant characteristics (Mean ± SD) for each age group. by Markéta Rygelová (15453112)

Features with significant variance discrepancies affecting classification accuracy. by Yifan He (3986123)

Image 3_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.jpeg by Ling Kui (6108440)

Image 4_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.jpeg by Ling Kui (6108440)

Image 2_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.jpeg by Ling Kui (6108440)

Table 2_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.docx by Ling Kui (6108440)

Table 3_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.xlsx by Ling Kui (6108440)

Table 1_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.xlsx by Ling Kui (6108440)

Image 1_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.jpeg by Ling Kui (6108440)

Table 4_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.xlsx by Ling Kui (6108440)

Nasal microbiota features significantly associate with the presence of clinical signs. by Holly Kristin Arnold (14204655)

Gut microbiota features significantly associate with the presence of clinical signs. by Holly Kristin Arnold (14204655)

Random Forest based prediction process. by Mohammed Majeed Hameed (14053535)

“…To address this, the study focuses on the Lotschental catchment in Switzerland, conducting a comprehensive comparison between deep learning and ensemble-based models. Given the significant autocorrelation in runoff time series data, which may hinder the evaluation of prediction models, a novel statistical method is employed to assess the effectiveness of forecasting models in detecting turning points in the runoff data. …”

Prediction models based on neural networks. by Jorge L. B. Araújo (20324246)

Subjects:

Variations in the mean force coefficients. by Shantanu S. Bhat (5446082)

Subjects:

List of IPA-predicted significantly activated or inhibited Sertoli cell "Diseases and Functions" affected by ZIKV infection. by Mahamud-ur Rashid (3275076)

Maximum IFN concentrations are decreased in severe patients. by Sonia T. Gazeau (21512764)

“…Statistical differences in maximal IFN values between groups are marked by a level of significance (*) estimated based on p-values above the box plots (*, p < 0.05; **, p < 0.005; ***, p < 0.0005; ****, p < 5e-5). …”

Wage gaps by gender, sector and year. by Mingming Li (502877)

“…<div><p>Although the Chinese government has implemented a variety of measures, the gender wage gap in 21^st century China has not decreased. …”

Significant interactions from mixed linear models of ECM colonization (Table 1). by Laura García de Jalón (8939456)