Major hyperparameters of RF-SVR. by Jintao Li (448681)

“…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”

Pseudo code for coupling model execution process. by Jintao Li (448681)

“…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”

Major hyperparameters of RF-MLPR. by Jintao Li (448681)

“…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”

Results of RF algorithm screening factors. by Jintao Li (448681)

“…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”

Schematic diagram of the basic principles of SVR. by Jintao Li (448681)

“…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”

Effects of message content condition on outcomes. by Rhyan N. Vereen (10765678)

“…Based on body size, women reported less perceived susceptibility or knowledge when exposed to the CI campaign, compared to either the control or general audience campaign. …”

Participant characteristics, N = 502. by Rhyan N. Vereen (10765678)

“…Based on body size, women reported less perceived susceptibility or knowledge when exposed to the CI campaign, compared to either the control or general audience campaign. …”

Sample of study stimuli by content condition. by Rhyan N. Vereen (10765678)

“…Based on body size, women reported less perceived susceptibility or knowledge when exposed to the CI campaign, compared to either the control or general audience campaign. …”

Functional iKIR do not consistently modify detrimental genotypes. by Laura Mora-Bitria (20477525)

“…In the corresponding permutation test the p-value becomes even less significant (P <b>=</b> 0.19). We conclude that there is no evidence that detrimental class II drivers are modified by functional iKIR.…”

Molecular features influencing clinical outcome of advanced HER2-positive gastric cancer receiving trastuzumab plus chemotherapy by Yu Lei (266919)

“…Additionally, after treatment, TMB significantly increased in non-responders, while CIN significantly decreased in responders.…”

Routine blood biochemical biomarkers in amyotrophic lateral sclerosis: Systematic review and cohort analysis by Robert J. Nona (18558903)

“…For urate, there was evidence of decreased levels in ALS, with higher levels associated ith longer survival. …”

<b>Gene x environment interactions as drivers of lifespan variation in nematodes</b> by Justin Havird (2812975)

“…There was a trade-off between healthspan and lifespan, such that strains that lived longer were generally less active across all ages. …”