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. …”

Data information. by Yuxin Wei (11510974)

“…During this period, there was an increasing trend of drought in spring and autumn and a decreasing trend of drought in summer. …”

Classification of TVDI effector interactions. by Yuxin Wei (11510974)

“…During this period, there was an increasing trend of drought in spring and autumn and a decreasing trend of drought in summer. …”

Workflow of the study. by Yuxin Wei (11510974)

“…During this period, there was an increasing trend of drought in spring and autumn and a decreasing trend of drought in summer. …”

Mann–Kendall trend test grading. by Yuxin Wei (11510974)

“…During this period, there was an increasing trend of drought in spring and autumn and a decreasing trend of drought in summer. …”

Distribution of sampling sites in the study area. by Yuxin Wei (11510974)

“…During this period, there was an increasing trend of drought in spring and autumn and a decreasing trend of drought in summer. …”

Single-factor detection using Geodetector. by Yuxin Wei (11510974)

“…During this period, there was an increasing trend of drought in spring and autumn and a decreasing trend of drought in summer. …”

Study area. by Yuxin Wei (11510974)

“…During this period, there was an increasing trend of drought in spring and autumn and a decreasing trend of drought in summer. …”

Remote sensing imagery schedule. by Yuxin Wei (11510974)

“…During this period, there was an increasing trend of drought in spring and autumn and a decreasing trend of drought in summer. …”

Experimental groups. by Nida Saleem (17194610)

“…</p><p>Results</p><p>The study showed that the number of white blood cells, platelets count, granulocyte count and lymphocyte count in both genders of albino rats after 30-, 60- and 90-days exposure to dimethoate was significantly increased where simultaneously the number of red blood cells, hemoglobin level, mean corpuscle hemoglobin count, and mean corpuscle hemoglobin concentration count was decreased considerably due to exposure of dimethoate pesticide in both genders of albino rats. …”

Low NCOA4 expression promotes the migration and invasion of CCA cells in vitro. by Wenlong Shen (9313937)

Low expression of NCOA4 promotes the proliferation of CCA cells in vitro. by Wenlong Shen (9313937)