Moderating effect of CSR-sensitivity (SCSR). by Hao Wang (39217)

“…Furthermore, our results indicate that customer concentration or CSR sensitivity significantly moderates this relationship. More particularly, firms with higher customer concentration are less responsive to minimum wage increases in their CSR activities. …”

Main results and moderating effects. by Hao Wang (39217)

“…Furthermore, our results indicate that customer concentration or CSR sensitivity significantly moderates this relationship. More particularly, firms with higher customer concentration are less responsive to minimum wage increases in their CSR activities. …”

Variable definitions. by Hao Wang (39217)

“…Furthermore, our results indicate that customer concentration or CSR sensitivity significantly moderates this relationship. More particularly, firms with higher customer concentration are less responsive to minimum wage increases in their CSR activities. …”

Descriptive statistics and correlation analysis. by Hao Wang (39217)

“…Furthermore, our results indicate that customer concentration or CSR sensitivity significantly moderates this relationship. More particularly, firms with higher customer concentration are less responsive to minimum wage increases in their CSR activities. …”

This study and possible future studies. by Hao Wang (39217)

“…Furthermore, our results indicate that customer concentration or CSR sensitivity significantly moderates this relationship. More particularly, firms with higher customer concentration are less responsive to minimum wage increases in their CSR activities. …”

Main results for different types of CSR. by Hao Wang (39217)

“…Furthermore, our results indicate that customer concentration or CSR sensitivity significantly moderates this relationship. More particularly, firms with higher customer concentration are less responsive to minimum wage increases in their CSR activities. …”

Study data. by Jie Liu (15128)

“…The Morisky score of the roxadustat group was higher [7 (5, 8) vs. 6 (4, 8), <i>P</i> < 0.01]. The drug cost of the roxadustat group was higher, but another additional cost for correcting anemia was significantly reduced. …”

Summary of clinical outcomes after 9 months. by Jie Liu (15128)

“…The Morisky score of the roxadustat group was higher [7 (5, 8) vs. 6 (4, 8), <i>P</i> < 0.01]. The drug cost of the roxadustat group was higher, but another additional cost for correcting anemia was significantly reduced. …”

Approval by the research ethics committee. by Jie Liu (15128)

“…The Morisky score of the roxadustat group was higher [7 (5, 8) vs. 6 (4, 8), <i>P</i> < 0.01]. The drug cost of the roxadustat group was higher, but another additional cost for correcting anemia was significantly reduced. …”

The flow chart of the study. by Lanxiang Pu (5924435)

“…</p><p>Conclusions</p><p>Our study shows that higher HCT in the first 2 hours of life was statistically significant association with decreased ROP and blood transfusion in very preterm infants. …”

Baseline characteristics of participants. by Lanxiang Pu (5924435)

“…</p><p>Conclusions</p><p>Our study shows that higher HCT in the first 2 hours of life was statistically significant association with decreased ROP and blood transfusion in very preterm infants. …”

Reversible Adsorption and Interfacial Photoisomerization of Azobenzene Surfactants Studied by QCM by Maren Umlandt (9638121)

“…Using quartz crystal microbalance (QCM) measurements, we show that the interfacial mass change is governed by the isomeric composition in the bulk solution: the <i>trans</i> isomer exhibits strong adsorption, while the <i>cis</i> isomer is significantly less surface-active. …”

Participant characteristics by village. by Tyler M. Barrett (20846174)

“…We hypothesized that farmers with greater market-based wealth and more farming experience would have higher odds of adaptation. …”

Final dataset. by Keiko Ochiai (21453423)

“…The results showed that CM exhibited significantly higher mAge acceleration and spent significantly less time gazing at the eye region during facial expression presentations. …”

Demographic Characteristics of Participants. by Keiko Ochiai (21453423)

“…The results showed that CM exhibited significantly higher mAge acceleration and spent significantly less time gazing at the eye region during facial expression presentations. …”

Table_1_Higher oxidative balance score is associated with lower female infertility: a cross-sectional study.DOCX by Xiong Lei (3847897)

“…In addition, subgroup analyses showed that the negative association between OBS and infertility was significant in the non-chronic disease (hypertension and diabetes) population, those with less than a high school educational background, poverty-to-income ratio (1 to 3), and those with more than 30 years of age.…”

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. …”