Dai Zhou

ORCID: 0009-0004-5231-3647
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About
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Research Areas
  • Intracranial Aneurysms: Treatment and Complications
  • Cerebrovascular and Carotid Artery Diseases
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Wind Energy Research and Development
  • Meningioma and schwannoma management
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Fluid Dynamics and Vibration Analysis
  • Wind and Air Flow Studies
  • Natural Compounds in Disease Treatment
  • Vascular Malformations Diagnosis and Treatment
  • Moyamoya disease diagnosis and treatment
  • Energy Load and Power Forecasting
  • Aerodynamics and Fluid Dynamics Research
  • Glioma Diagnosis and Treatment
  • MicroRNA in disease regulation
  • Angiogenesis and VEGF in Cancer
  • Fluid Dynamics and Turbulent Flows
  • Acute Ischemic Stroke Management
  • Neurosurgical Procedures and Complications
  • Nanoparticle-Based Drug Delivery
  • Natural product bioactivities and synthesis
  • Solar Radiation and Photovoltaics
  • Neurological Disease Mechanisms and Treatments
  • Smart Grid Energy Management
  • Histone Deacetylase Inhibitors Research

Guizhou University of Finance and Economics
2023-2025

First Affiliated Hospital of Soochow University
2009-2024

Soochow University
2007-2024

Changsha Normal University
2024

Shanghai Jiao Tong University
2022-2023

Shanghai Ocean University
2023

Ningxia University
2023

China Southern Power Grid (China)
2021-2022

South China University of Technology
2022

Second Affiliated Hospital of Soochow University
2013

Abstract The nuclear factor erythroid 2‐related 2 and antioxidant‐response element (Nrf2‐ARE) pathway is a key regulator for modulating inflammation oxidative damage, which are involved in the pathogenesis of early brain injury (EBI) after subarachnoid hemorrhage (SAH). Previous studies have demonstrated that Nrf2‐ARE play neural protective roles traumatic injury, cerebral ischemia, intracerebral models; however, it has not been investigated whether, to what degree, induced by SAH, role...

10.1002/jnr.22577 article EN Journal of Neuroscience Research 2011-01-21

This paper proposes a two-way relay network with multiple relays based on generalized carrier index differential chaos shift keying (GCI-DCSK), which operates without any channel state information (CSI) or the locations of relays. A maximum-minimum decision threshold distance (MMTD) selection strategy is used to select best for network, where effects both location and states links are considered. Based probability selecting relay, approximate expressions bit error rate (BER) outage derived....

10.23919/transcom.2024ebp3140 article EN IEICE Transactions on Communications 2025-01-01

The prediction of significant wave height (SWH) is crucial for managing energy. While many machine learning studies have focused on accurately predicting SWH values within hours in advance, the primary concern should be given to level real-world applications. In this paper, a classification framework time-series based Transformer encoder (TF) and empirical mode decomposition (EMD) developed, which can provide lead time 6 48 h with fixed thresholds 2 m high waves 1.5 low waves. performance...

10.1016/j.egyai.2023.100257 article EN cc-by-nc-nd Energy and AI 2023-03-25

The role of celastrol in the treatment cancer has been an area growing interest. To circumvent issues low solubility, poor bioavailability, and systemic toxicity celastrol, we prepared liposomal using thin-film dispersion method. We characterized particle size, encapsulation efficiency, pharmacological parameters celastrol. drug concentration plasma tissues was measured LC-MS/MS. In addition, sulforhodamine B assay used to determine 50% inhibiting concentration. assessed effects compound...

10.1097/cad.0b013e3283514b68 article EN Anti-Cancer Drugs 2012-02-16

Abstract Accurate forecasting of electric vehicle (EV) load is essential for grid stability and energy management. EV influenced by multiple factors. At present, the model EVs mainly uses collected sample data to build a data‐driven model. But these algorithms need collect all together train model, ignoring privacy each collection source. In competitive market environment, device service provider not willing share they store. Aiming at this problem, paper proposes an diagnosis algorithm...

10.1049/gtd2.13192 article EN cc-by IET Generation Transmission & Distribution 2024-06-17

The electric vehicle (EV) has been popular in recent years, which also brings huge challenges to the distribution network due its energy instability. In order consider economic factors of dispatching these distributed renewable resources, voltage variation is important. A novel model‐free method put forward for collaborative management EV resources aggregators network. costs and physical constraints this issue are considered at same time. Multiagent Deep Deterministic Policy Gradient...

10.1155/2024/7765710 article EN cc-by International Transactions on Electrical Energy Systems 2024-01-01

Background Surgical treatment of intracranial aneurysms is often compromised by incomplete exclusion the aneurysm or stenosis parent vessels. Intraoperative microvascular Doppler (IMD) an attractive, noninvasive, and inexpensive tool. The present study aimed to evaluate usefulness reliability IMD for guiding clip placement in surgery. Methods A total 92 patients with 101 were included study. a 1.5-mm diameter, 20-MHz microprobe was used before after application confirm obliteration patency...

10.3760/cma.j.issn.0366-6999.20130395 article EN cc-by-nc-nd Chinese Medical Journal 2013-07-05
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