A5040972296- Gastrointestinal Tumor Research and Treatment
- Electric Power System Optimization
- Gastric Cancer Management and Outcomes
- Pancreatic and Hepatic Oncology Research
- Ferroptosis and cancer prognosis
- Energy Load and Power Forecasting
- Electric Vehicles and Infrastructure
- Cancer Immunotherapy and Biomarkers
- Cancer Genomics and Diagnostics
- Microgrid Control and Optimization
- Histone Deacetylase Inhibitors Research
- RNA Interference and Gene Delivery
- Nanoplatforms for cancer theranostics
- Advanced Battery Technologies Research
- Optimal Power Flow Distribution
- Transportation and Mobility Innovations
- Power System Reliability and Maintenance
Fuyang Second People's Hospital
2020-2025
Anhui Medical University
2018-2025
Chongqing University
2019-2021
First Affiliated Hospital of Anhui Medical University
2018
Both production of DNA damage and subsequent prevention its repair are crucial in concluding the therapeutic outcome radiotherapy (RT). However, nearly all current strategies for improving RT focus only on one two aspects overlook necessity their combinations. In this work, we introduce a concept DNA-dual-targeting nanomedicine (NM) to simultaneously enhance lesion formation prevent succeeding repair. Briefly, cisplatin prodrug loaded NM can form platinated cell nuclei, making more...
Duodenal adenocarcinoma is an uncommon, malignant tumor usually accompanied by a poor prognosis. We identified 3150 duodenal cases from the SEER database (1988–2013) to analyze clinical characteristics and outcomes. The Kaplan–Meier method was used evaluate cancer-specific survival (CSS). Cox regression analysis explore prognostic factors of CSS. Adverse include higher grade, later stage, size ≥ 2cm, positive regional lymph nodes, not undergoing surgical resection. Our results suggest,...
Electricity price risk assessment (EPRA) is essential for spot market analysis and operation. The statistical moments (i.e., the mean standard deviation) of need to be assessed support control. This paper proposes a data-driven approach EPRA based on Gaussian process (GP) framework. Compared with deep learning algorithms, GP has two merits: (1) scale training sample required small (2) time-consuming hyperparameter tuning avoided. However, direct application not tractable due complicated...
Background and Objectives: Duodenal adenocarcinoma (DAC) is a rare tumor that often accompanied by liver metastasis in advanced stages. The aim of this study was to evaluate the correlation between clinicopathological characteristics survival DAC patients with metastasis, explore appropriate treatment options. Methods: 482 were retrospectively identified from Surveillance, Epidemiology End Results (SEER) database (2011– 2020). Univariate multivariate Cox regression analyses performed factors...
The increasing number of electric vehicles (EVs) has promoted the development an eco-friendly society. charging and discharging behaviors EVs have high uncertainties in time space, which bring severe challenges to location capacity determination EV stations. To make it more reasonable, this paper proposes optimal planning method for stations considering environmental temperature user behaviors. In method, a model is established. Besides, with that users tend choose those near their current...
Abstract Security-constrained economic dispatch (SCED) is one of the most important daily tasks for operators. The scale security constraints huge practically-sized power systems, which makes SCED difficult or even impossible to be solved. Whereby, number active relatively small. By eliminating inactive constraints, complexity can significantly reduced. Focusing on it, this paper proposes an intelligent framework accelerate calculation without any loss accuracy. proposed uses a deep neural...