Data of AFR(%) of axial surface for each group. by Long Li (6555)

“…In the adhesive retention strength experiment, prostheses and abutments were bonded using permanent resin cement; retention strength was measured using a universal testing machine. Data were analyzed using one-way analysis of variance (ANOVA) or Welch’s ANOVA, followed by Tukey’s honestly significant difference test.…”

Unraveling the Anticancer Potential of SSRIs in Prostate Cancer by Combining Computational Systems Biology and <i>In Vitro</i> Analyses by Sanaa K. Bardaweel (9636542)

“…The combination of SSRIs with cisplatin, 5-fluorouracil, and raloxifene resulted in either synergistic or additive effects. SSRIs resulted in a significant increase in the early and late apoptotic activity in PC3 cells. …”

The interaction effect of CS*SFSF on fluctuations in Pak choi biomass under cycling irrigation (CI) paired with Si fertilization. by Jieru Zhao (21262027)

The interaction effect of CS*SFSF on enzyme Activity Fluctuations in Leaves under cycling irrigation (CI) combined with Si fertilization. by Jieru Zhao (21262027)

The interaction effect of CS*SFSF on Chlorophyll levels subjected to varied cycling irrigation (CI) modes coupled with silicon supplementation. by Jieru Zhao (21262027)

The interaction effect of CS*SFSF on fluctuations in silicon content within soil and leaf under cycling irrigation (CI) coupled with Si fertilization. by Jieru Zhao (21262027)

The interaction effect of CS*SFSF on soil ion content under cycling irrigation (CI) combined with Si fertilization. by Jieru Zhao (21262027)

The interaction effect of CS*SFSF on SOM and WDPT under cycling irrigation (CI) coupled with Si fertilization. by Jieru Zhao (21262027)

Sociodemographic characteristics of participants at baseline, overall and by age group. by Chelsea S. Lutz (16001569)

The interaction effect of CS*SFSF on alterations in leaf Malondialdehyde (MDA) and soluble protein levels subjected to cycling irrigation (CI) methods in conjunction with silicon n... by Jieru Zhao (21262027)

Clinical outcomes and COVID-19 treatment during acute illness, by hospitalization status and age group. by Chelsea S. Lutz (16001569)

Symptoms self-reported and/or documented in the electronic health record during the acute COVID-19 illness, by hospitalization status and age group. by Chelsea S. Lutz (16001569)

Sociodemographic and clinical characteristics associated with PCC at three months post-acute illness among adults enrolled during Omicron predominance. by Chelsea S. Lutz (16001569)

(a) X-ray diffraction (XRD) pattern of the cobalt nitrate catalyst, showing the crystallinity and phase structure of the Co/Al₂O₃ catalyst. (b) Fourier transform infrared (FTIR) sp... by Ning Zuo (17295415)

Assessment values of machine learning models. by Bin Pan (742525)

“…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”

List of datasets in AqSolDB. by Bin Pan (742525)

“…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”

Feature importance derived from SHAP analysis. by Bin Pan (742525)

“…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”

Table 1_High-dose medium-term HMB supplementation did not trigger body composition changes in trained and untrained males under usual conditions or high-intensity functional exerci... by Krzysztof Durkalec-Michalski (4691311)

“…Nevertheless, there was an impact (p < 0.05) from training status (but not HMB/PLA) on FM (kg; slight increases in UTR) and TBW (slight decreases in UTR).</p>Discussion<p>The individually adjusted high HMB dose did not change body mass and composition in trained or untrained individuals during a three-week exclusive supplementation or three-week supplementation in combination with additional HIFT stimuli. …”

Table 2_High-dose medium-term HMB supplementation did not trigger body composition changes in trained and untrained males under usual conditions or high-intensity functional exerci... by Krzysztof Durkalec-Michalski (4691311)

“…Nevertheless, there was an impact (p < 0.05) from training status (but not HMB/PLA) on FM (kg; slight increases in UTR) and TBW (slight decreases in UTR).</p>Discussion<p>The individually adjusted high HMB dose did not change body mass and composition in trained or untrained individuals during a three-week exclusive supplementation or three-week supplementation in combination with additional HIFT stimuli. …”

Multiomics Combined with Expression Pattern Analysis Reveals the Regulatory Response of Key Genes in Potato Jasmonic Acid Signaling Pathways to Cadmium Stress by Mingfang Yang (9265478)

“…As a negative regulatory transcription factor of the JA signaling pathway, <i>StJAZ14</i> exhibited a decreasing trend under Cd stress. …”