Moderating effect test I. by Liwen Huang (2180070)

“…Employing a two-way fixed effects model, the main findings are as follows: (1) Leverage manipulation significantly increases the level of financial risk among real estate firms; (2) Mechanism analysis reveals a collusion effect between controlling shareholders and management, as well as between external auditors and management, both of which significantly amplify the impact of leverage manipulation on financial risk. …”

Descriptive statistics. by Liwen Huang (2180070)

“…Employing a two-way fixed effects model, the main findings are as follows: (1) Leverage manipulation significantly increases the level of financial risk among real estate firms; (2) Mechanism analysis reveals a collusion effect between controlling shareholders and management, as well as between external auditors and management, both of which significantly amplify the impact of leverage manipulation on financial risk. …”

Baseline regression. by Liwen Huang (2180070)

“…Employing a two-way fixed effects model, the main findings are as follows: (1) Leverage manipulation significantly increases the level of financial risk among real estate firms; (2) Mechanism analysis reveals a collusion effect between controlling shareholders and management, as well as between external auditors and management, both of which significantly amplify the impact of leverage manipulation on financial risk. …”

Robustness tests I. by Liwen Huang (2180070)

“…Employing a two-way fixed effects model, the main findings are as follows: (1) Leverage manipulation significantly increases the level of financial risk among real estate firms; (2) Mechanism analysis reveals a collusion effect between controlling shareholders and management, as well as between external auditors and management, both of which significantly amplify the impact of leverage manipulation on financial risk. …”

Endogeneity tests II. by Liwen Huang (2180070)

“…Employing a two-way fixed effects model, the main findings are as follows: (1) Leverage manipulation significantly increases the level of financial risk among real estate firms; (2) Mechanism analysis reveals a collusion effect between controlling shareholders and management, as well as between external auditors and management, both of which significantly amplify the impact of leverage manipulation on financial risk. …”

Endogeneity test I. by Liwen Huang (2180070)

“…Employing a two-way fixed effects model, the main findings are as follows: (1) Leverage manipulation significantly increases the level of financial risk among real estate firms; (2) Mechanism analysis reveals a collusion effect between controlling shareholders and management, as well as between external auditors and management, both of which significantly amplify the impact of leverage manipulation on financial risk. …”

Heterogeneity test II. by Liwen Huang (2180070)

“…Employing a two-way fixed effects model, the main findings are as follows: (1) Leverage manipulation significantly increases the level of financial risk among real estate firms; (2) Mechanism analysis reveals a collusion effect between controlling shareholders and management, as well as between external auditors and management, both of which significantly amplify the impact of leverage manipulation on financial risk. …”

Robustness tests II. by Liwen Huang (2180070)

“…Employing a two-way fixed effects model, the main findings are as follows: (1) Leverage manipulation significantly increases the level of financial risk among real estate firms; (2) Mechanism analysis reveals a collusion effect between controlling shareholders and management, as well as between external auditors and management, both of which significantly amplify the impact of leverage manipulation on financial risk. …”

Heterogeneity test III. by Liwen Huang (2180070)

“…Employing a two-way fixed effects model, the main findings are as follows: (1) Leverage manipulation significantly increases the level of financial risk among real estate firms; (2) Mechanism analysis reveals a collusion effect between controlling shareholders and management, as well as between external auditors and management, both of which significantly amplify the impact of leverage manipulation on financial risk. …”

Balance test. by Liwen Huang (2180070)

“…Employing a two-way fixed effects model, the main findings are as follows: (1) Leverage manipulation significantly increases the level of financial risk among real estate firms; (2) Mechanism analysis reveals a collusion effect between controlling shareholders and management, as well as between external auditors and management, both of which significantly amplify the impact of leverage manipulation on financial risk. …”

Moderating effect test II. by Liwen Huang (2180070)

“…Employing a two-way fixed effects model, the main findings are as follows: (1) Leverage manipulation significantly increases the level of financial risk among real estate firms; (2) Mechanism analysis reveals a collusion effect between controlling shareholders and management, as well as between external auditors and management, both of which significantly amplify the impact of leverage manipulation on financial risk. …”

Variable definitions. by Liwen Huang (2180070)

“…Employing a two-way fixed effects model, the main findings are as follows: (1) Leverage manipulation significantly increases the level of financial risk among real estate firms; (2) Mechanism analysis reveals a collusion effect between controlling shareholders and management, as well as between external auditors and management, both of which significantly amplify the impact of leverage manipulation on financial risk. …”

Heterogeneity test I. by Liwen Huang (2180070)

“…Employing a two-way fixed effects model, the main findings are as follows: (1) Leverage manipulation significantly increases the level of financial risk among real estate firms; (2) Mechanism analysis reveals a collusion effect between controlling shareholders and management, as well as between external auditors and management, both of which significantly amplify the impact of leverage manipulation on financial risk. …”

Particle size distribution of the raw materials. by Chenchen Luo (20649067)

“…However, as the oil shale residue content further increases, the hydration product gradually decreases, and the microstructure becomes poorer. Therefore, the optimal oil shale residue content is 20%. …”

Design of alkali activated mortars/ kg·m⁻³. by Chenchen Luo (20649067)

“…However, as the oil shale residue content further increases, the hydration product gradually decreases, and the microstructure becomes poorer. Therefore, the optimal oil shale residue content is 20%. …”

Mineral composition analysis of raw materials. by Chenchen Luo (20649067)

“…However, as the oil shale residue content further increases, the hydration product gradually decreases, and the microstructure becomes poorer. Therefore, the optimal oil shale residue content is 20%. …”

Development of a User-Friendly Dynamic Culture System for Decellularized Scaffold-Based Tissue Engineering by Shujuan Fan (8380047)

“…Compared to static controls, constructs cultured in our platform exhibited a > 5-fold increase in proliferating (Ki67+) cells and a 32-fold decrease in apoptotic (TUNEL+) cells. Hepatic functions were also significantly enhanced, with increased urea production and markedly higher expression of albumin (∼1.5-fold) and the key metabolic enzymes UGT1 (∼1.4-fold) and CYP2D6 (∼2.7-fold). …”

The morphology of the oil shale slag. by Chenchen Luo (20649067)

“…However, as the oil shale residue content further increases, the hydration product gradually decreases, and the microstructure becomes poorer. Therefore, the optimal oil shale residue content is 20%. …”

Enteropathogen detection and fCal levels. by Muhammad Rehan (406524)

“…Samples positive for <i><i>Shigella</i></i> had significantly higher fCal than samples positive for rotavirus. …”

Schematic diagram of experimental scheme. by Chenchen Luo (20649067)

“…However, as the oil shale residue content further increases, the hydration product gradually decreases, and the microstructure becomes poorer. Therefore, the optimal oil shale residue content is 20%. …”