Pengfei Du
Biographic Data
| ID | 909505 |
|---|---|
| NAME | Pengfei Du |
| GIVEN NAMES | Pengfei |
| FAMILY NAME | Du |
| SIGNATURE | DU P |
| AFFILIATIONS | Tsinghua University |
| ORCID | 0000-0002-1096-8125 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2027 |
| H-INDEX | 0 |
A bioactive constituent from Bazhen decoction alleviates sepsis-associated liver injury by restoring SLC6A6-mediated taurine transport to reprogram macrophage immunometabolism
ETHNOPHARMACOLOGICAL RELEVANCE: Bazhen Decoction (BZD) is a classical formula first recorded in Ruizhu Tang Jing Yan Fang (14th century) and prescribed for centuries to replenish "Qi" and nourish "Blood". However, its bioactive constituents and immunometabolic mechanisms in sepsis-associated liver injury (SALI) remain unclear. AIM OF THE STUDY: To identify the key bioactive component of BZD and investigate its immunometabolic mechanism in SALI. M…
Forecasting carbon price with Ceemdan-SE-transformer model
The consensus regarding the impact of carbon dioxide emissions on the environment has been widely acknowledged, with market-based mechanisms highlighted in international frameworks like the Paris Agreement. China has actively advanced carbon market development by establishing transparent carbon trading mechanisms to address emission challenges. Accurately forecasting carbon emission rights prices is crucial for supporting enterprise and governmen…
Under the dark side of online trust
Purpose Despite the prevalence of service failures in this emerging livestreaming e-commerce domain, scholarly investigations have neglected the effectiveness of livestreamers’ online coping strategies in mitigating the dual consequences of sales attrition and reputational impairment after these failures. Based on the stress and coping theory, this research aims to examine the underlying mechanism and boundary condition through which livestreamer…
Improved predictive performance of cyanobacterial blooms using a hybrid statistical and deep-learning method
Cyanobacterial harmful algal blooms (CyanoHABs) threaten ecosystem functioning and human health at both regional and global levels, and this threat is likely to become more frequent and severe under climate change. Predictive information can help local water managers to alleviate or manage the adverse effects posed by CyanoHABs. Previous works have led to various approaches for predicting cyanobacteria abundance by feeding various environmental v…
Agent-Based Modelling of Food Production for Water Stewardship
Nonylphenol Toxicity Evaluation and Discovery of Biomarkers in Rat Urine by a Metabolomics Strategy through HPLC-QTOF-MS
Nonylphenol (NP) was quantified using liquid chromatography tandem mass spectrometry (LC-MS/MS) in the urine and plasma of rats treated with 0, 50, and 250 mg/kg/day of NP for four consecutive days. A urinary metabolomic strategy was originally implemented by high performance liquid chromatography time of flight mass spectrometry (HPLC-QTOF-MS) to explore the toxicological effects of NP and determine the overall alterations in the metabolite prof…
No prominent works on this page.
Nonylphenol Toxicity Evaluation and Discovery of Biomarkers in Rat Urine by a Metabolomics Strategy through HPLC-QTOF-MS
Nonylphenol (NP) was quantified using liquid chromatography tandem mass spectrometry (LC-MS/MS) in the urine and plasma of rats treated with 0, 50, and 250 mg/kg/day of NP for four consecutive days. A urinary metabolomic strategy was originally implemented by high performance liquid chromatography time of flight mass spectrometry (HPLC-QTOF-MS) to explore the toxicological effects of NP and determine the overall alterations in the metabolite prof…
Agent-Based Modelling of Food Production for Water Stewardship
Improved predictive performance of cyanobacterial blooms using a hybrid statistical and deep-learning method
Cyanobacterial harmful algal blooms (CyanoHABs) threaten ecosystem functioning and human health at both regional and global levels, and this threat is likely to become more frequent and severe under climate change. Predictive information can help local water managers to alleviate or manage the adverse effects posed by CyanoHABs. Previous works have led to various approaches for predicting cyanobacteria abundance by feeding various environmental v…
Under the dark side of online trust
Purpose Despite the prevalence of service failures in this emerging livestreaming e-commerce domain, scholarly investigations have neglected the effectiveness of livestreamers’ online coping strategies in mitigating the dual consequences of sales attrition and reputational impairment after these failures. Based on the stress and coping theory, this research aims to examine the underlying mechanism and boundary condition through which livestreamer…
Forecasting carbon price with Ceemdan-SE-transformer model
The consensus regarding the impact of carbon dioxide emissions on the environment has been widely acknowledged, with market-based mechanisms highlighted in international frameworks like the Paris Agreement. China has actively advanced carbon market development by establishing transparent carbon trading mechanisms to address emission challenges. Accurately forecasting carbon emission rights prices is crucial for supporting enterprise and governmen…
A bioactive constituent from Bazhen decoction alleviates sepsis-associated liver injury by restoring SLC6A6-mediated taurine transport to reprogram macrophage immunometabolism
ETHNOPHARMACOLOGICAL RELEVANCE: Bazhen Decoction (BZD) is a classical formula first recorded in Ruizhu Tang Jing Yan Fang (14th century) and prescribed for centuries to replenish "Qi" and nourish "Blood". However, its bioactive constituents and immunometabolic mechanisms in sepsis-associated liver injury (SALI) remain unclear. AIM OF THE STUDY: To identify the key bioactive component of BZD and investigate its immunometabolic mechanism in SALI. M…
Environmental Science (2 works) · Metabolomics and Mass Spectrometry Studies (2 works) · Advanced Chemical Sensor Technologies (1 work) · Aldose Reductase and Taurine (1 work) · Algal bloom (1 work) · Analytical Chemistry and Chromatography (1 work) · Aquatic Ecosystems and Phytoplankton Dynamics (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Attrition (1 work)