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. …”

The deletion of the <i>pflB</i> gene led to decreased invasion efficiency in the Caco-2 cell line, which corresponded to a reduced organ burden in C57BL/6 mice five days after infe... by Debapriya Mukherjee (9961289)

Distribution of aggregate practitioner-reported adherence scores to ten of the International Standards for TB Care by practitioner training in the private sector in Chennai. by Liza Bronner Murrison (2272891)

Photographs of MTS testing setup. by Brian E. Walczak (11377108)

Significant repeated measurements sEMG outcomes. by María Benito-de-Pedro (22057468)

“…<div><p>Lateral ankle sprain (LAS) is a very common injury in the world of basketball. …”

Maximum voluntary contraction assessment. by María Benito-de-Pedro (22057468)

“…<div><p>Lateral ankle sprain (LAS) is a very common injury in the world of basketball. …”

Significant single measurement sEMG outcomes. by María Benito-de-Pedro (22057468)

“…<div><p>Lateral ankle sprain (LAS) is a very common injury in the world of basketball. …”

Processing of proHNP-1 by MPRO cells transfected with human serine proteases. by Andreas Glenthøj (156936)

Maximum penetration resistance stress <i>vs</i>. cone apex angles for different normalized water contents with a base radius of 2.5 mm at 16% clay content. by Siul Ruiz (757454)

DataSheet1_Decreasing incidence and mortality of lung cancer in Hungary between 2011 and 2021 revealed by robust estimates reconciling multiple data sources.ZIP by Gabriella Gálffy (177759)

“…The COVID-19 pandemic resulted in a statistically significant decrease in lung cancer incidence, especially in the 50–59 age group (both sexes).…”

Image_3_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.TIF by Iulian Gabur (11720927)

“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”

Image_1_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.TIF by Iulian Gabur (11720927)

“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”

Table_2_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.CSV by Iulian Gabur (11720927)

“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”

Image_2_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.TIF by Iulian Gabur (11720927)

“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”

Table_1_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.XLSX by Iulian Gabur (11720927)

“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”

Table_3_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.xlsx by Iulian Gabur (11720927)

“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”

Table_4_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.xlsx by Iulian Gabur (11720927)

“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”

Scoring schemes for the assessment of skin and keel bone status in laying hens¹ [29]. by Lisa Jung (13264758)