Empirical 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. …”

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. …”

Synthesis, Structure, and Dynamic Behavior of Cyclopentadienyl-Lithium, -Sodium, and -Potassium Annelated with Bicyclo[2.2.2]octene Units:  A Systematic Study on Site Exchange of A... by Tohru Nishinaga (1630696)

“…Within this range, a tendency was observed for the Δ<i>G</i>^⧧ values to increase as the size of the metal decreased. Theoretical calculations (B3LYP/6-31G(d)) afforded considerably large values as the gas-phase dissociation energy for <b>1</b>−M (162.7 kcal mol^-1 for M = Li; 131.6 kcal mol^-1 for M = Na; 110.9 kcal mol^-1 for M = K) and for <b>2</b>−M (170.0 kcal mol^-1 for M = Li; 137.5 kcal mol^-1 for M = Na; 115.4 kcal mol^-1 for M = K). …”

Synthesis, Structure, and Dynamic Behavior of Cyclopentadienyl-Lithium, -Sodium, and -Potassium Annelated with Bicyclo[2.2.2]octene Units:  A Systematic Study on Site Exchange of A... by Tohru Nishinaga (1630696)

“…Within this range, a tendency was observed for the Δ<i>G</i>^⧧ values to increase as the size of the metal decreased. Theoretical calculations (B3LYP/6-31G(d)) afforded considerably large values as the gas-phase dissociation energy for <b>1</b>−M (162.7 kcal mol^-1 for M = Li; 131.6 kcal mol^-1 for M = Na; 110.9 kcal mol^-1 for M = K) and for <b>2</b>−M (170.0 kcal mol^-1 for M = Li; 137.5 kcal mol^-1 for M = Na; 115.4 kcal mol^-1 for M = K). …”

Synthesis, Structure, and Dynamic Behavior of Cyclopentadienyl-Lithium, -Sodium, and -Potassium Annelated with Bicyclo[2.2.2]octene Units:  A Systematic Study on Site Exchange of A... by Tohru Nishinaga (1630696)

“…Within this range, a tendency was observed for the Δ<i>G</i>^⧧ values to increase as the size of the metal decreased. Theoretical calculations (B3LYP/6-31G(d)) afforded considerably large values as the gas-phase dissociation energy for <b>1</b>−M (162.7 kcal mol^-1 for M = Li; 131.6 kcal mol^-1 for M = Na; 110.9 kcal mol^-1 for M = K) and for <b>2</b>−M (170.0 kcal mol^-1 for M = Li; 137.5 kcal mol^-1 for M = Na; 115.4 kcal mol^-1 for M = K). …”

Synthesis, Structure, and Dynamic Behavior of Cyclopentadienyl-Lithium, -Sodium, and -Potassium Annelated with Bicyclo[2.2.2]octene Units:  A Systematic Study on Site Exchange of A... by Tohru Nishinaga (1630696)

“…Within this range, a tendency was observed for the Δ<i>G</i>^⧧ values to increase as the size of the metal decreased. Theoretical calculations (B3LYP/6-31G(d)) afforded considerably large values as the gas-phase dissociation energy for <b>1</b>−M (162.7 kcal mol^-1 for M = Li; 131.6 kcal mol^-1 for M = Na; 110.9 kcal mol^-1 for M = K) and for <b>2</b>−M (170.0 kcal mol^-1 for M = Li; 137.5 kcal mol^-1 for M = Na; 115.4 kcal mol^-1 for M = K). …”

Temporal dynamics of Sox10-E1 and Sox10-E2 along the OL lineage. by Hongjoo An (21703199)

Subfoveal choroidal thickness in coronary artery disease compared to controls. by Meleha Ahmad (4162117)

Valve closing capability and hemolymph flow analysis. by Christian Meyer (6035)

“…For <i>rab5</i> knockdown animals, hemolymph velocity could not be determined. …”

Vm reconstruction error as a function of time. by Evan Cudone (5768813)

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. …”