Fitting curve parameters. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Test instrument. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Empirical model establishment process. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Model prediction error trend chart. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Basic physical parameters of red clay. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

BP neural network structure diagram. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Structure diagram of GBDT model. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Model prediction error analysis index. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Fitting curve parameter table. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Model prediction error analysis. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Representative photographs of exoprotein assessment in a 96-well master plate. by Marion Schoof (11999106)

“…Wells A1–3 (black box) contain MH96 (wild-type); A4–6 (red box) contain K18 (non-secretion control); A7–9, E5–8, and H10–12 (purple box) contain LB broth blanks. …”

Supporting information file corresponding to Fig 7. by Oswaldo Maillard (20660661)

Supporting information file corresponding to Fig 3. by Oswaldo Maillard (20660661)

Supporting information file corresponding to Fig 8. by Oswaldo Maillard (20660661)

Fig 1 - by Tori V. Burt (17261197)

A Mononuclear Non-Heme Manganese(IV)–Oxo Complex Binding Redox-Inactive Metal Ions by Junying Chen (286746)

“…A mononuclear non-heme Mn­(IV)–oxo complex bearing a pentadentate N₅ ligand has been synthesized and used in the synthesis of a Mn­(IV)–oxo complex binding scandium ions. …”

PEDV entry dependent on ALIX, while PEAV entry requires ALIX and TSG101. by Xiongnan Chen (13307178)

Piriform neurons respond to odor onset. by Alice Berners-Lee (15354255)

“…Gray lines represent the mean and SEM for each mouse separately. ANOVA details in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3002086#pbio.3002086.t001" target="_blank">Table 1</a>, rows 5 and 6. …”

Cxcr4 promotes Cyclin D1 expression through ERK signaling during DFC proliferation. by Jingwen Liu (517390)

“…<p>(A) ERK1/2 phosphorylation levels were dramatically decreased in <i>cxcr4a</i>^<i>um20</i> mutants. …”

The patients with PMR had a significant inflammatory gene expression profile, abundant inflammatory genes that may activate JAK signaling. by Xinlei Ma (1423633)