Ding Luo
Biographic Data
| ID | 6581005 |
|---|---|
| NAME | Ding Luo |
| GIVEN NAMES | Ding |
| FAMILY NAME | Luo |
| SIGNATURE | LUO D |
| AFFILIATIONS | Delft University of Technology |
| ORCID | 0000-0003-2661-0926 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Statistical machine learning models for prediction of China’s maritime emergency patients in dynamic: Arima model, Sarima model, and dynamic Bayesian network model
Introduction Rescuing individuals at sea is a pressing global public health issue, garnering substantial attention from emergency medicine researchers with a focus on improving prevention and control strategies. This study aims to develop a Dynamic Bayesian Networks (DBN) model utilizing maritime emergency incident data and compare its forecasting accuracy to Auto-regressive Integrated Moving Average (ARIMA) and Seasonal Auto-regressive Integrate…
Provenance changes of the Yangtze River Delta sediments since ∼3.6 Ma: Evidence from heavy mineral assemblages and detrital zircon U–Pb ages spectra
Can passenger flow distribution be estimated solely based on network properties in public transport systems
We present a pioneering investigation into the relation between passenger flow distribution and network properties in public transport systems. The methodology is designed in a reverse engineering fashion by utilizing passively measured passenger flow dynamics over the entire network. We quantify the properties of public transport networks using a range of centrality indicators in the topological representations of public transport networks with …
Antiviral activity of ethanol extract of Lophatherum gracile against respiratory syncytial virus infection
Integrating network science and public transport accessibility analysis for comparative assessment
Specific neuroprotective effects of manual stimulation of real acupoints versus non-acupoints in rats after middle cerebral artery occlusion
The objective of this study was to investigate the effectiveness and specific effects of acupuncture on ischemic-induced damage in rats after permanent middle cerebral artery occlusion. Cerebral ischemia was induced by middle cerebral artery occlusion in male Wistar rats. The rats were divided into the following 4 groups: normal controls, ischemic, real acupuncture-treated (Shuigou, DU26), and non-acupoint-treated groups. On the third postoperati…
Specific neuroprotective effects of manual stimulation of real acupoints versus non-acupoints in rats after middle cerebral artery occlusion
The objective of this study was to investigate the effectiveness and specific effects of acupuncture on ischemic-induced damage in rats after permanent middle cerebral artery occlusion. Cerebral ischemia was induced by middle cerebral artery occlusion in male Wistar rats. The rats were divided into the following 4 groups: normal controls, ischemic, real acupuncture-treated (Shuigou, DU26), and non-acupoint-treated groups. On the third postoperati…
Antiviral activity of ethanol extract of Lophatherum gracile against respiratory syncytial virus infection
Integrating network science and public transport accessibility analysis for comparative assessment
Can passenger flow distribution be estimated solely based on network properties in public transport systems
We present a pioneering investigation into the relation between passenger flow distribution and network properties in public transport systems. The methodology is designed in a reverse engineering fashion by utilizing passively measured passenger flow dynamics over the entire network. We quantify the properties of public transport networks using a range of centrality indicators in the topological representations of public transport networks with …
Provenance changes of the Yangtze River Delta sediments since ∼3.6 Ma: Evidence from heavy mineral assemblages and detrital zircon U–Pb ages spectra
Statistical machine learning models for prediction of China’s maritime emergency patients in dynamic: Arima model, Sarima model, and dynamic Bayesian network model
Introduction Rescuing individuals at sea is a pressing global public health issue, garnering substantial attention from emergency medicine researchers with a focus on improving prevention and control strategies. This study aims to develop a Dynamic Bayesian Networks (DBN) model utilizing maritime emergency incident data and compare its forecasting accuracy to Auto-regressive Integrated Moving Average (ARIMA) and Seasonal Auto-regressive Integrate…
Computer Science (3 works) · Mathematics (3 works) · Artificial Intelligence (2 works) · Complex network (2 works) · Engineering (2 works) · Flow network (2 works) · Geography (2 works) · Human Mobility and Location-Based Analysis (2 works) · Internal Medicine (2 works) · Mathematical optimization (2 works)