A5064068343- Advancements in Battery Materials
- Advanced Battery Technologies Research
- Phosphodiesterase function and regulation
- Electric Vehicles and Infrastructure
- Neuroinflammation and Neurodegeneration Mechanisms
- Adenosine and Purinergic Signaling
- Fault Detection and Control Systems
- Autophagy in Disease and Therapy
- Parkinson's Disease Mechanisms and Treatments
- Cannabis and Cannabinoid Research
- Endoplasmic Reticulum Stress and Disease
- Machine Fault Diagnosis Techniques
- Geological and Geophysical Studies
- Electromagnetic wave absorption materials
- Quality and Safety in Healthcare
- Cholinesterase and Neurodegenerative Diseases
- Curcumin's Biomedical Applications
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Geological Studies and Exploration
- Hydrocarbon exploration and reservoir analysis
- Neurological Complications and Syndromes
- Reliability and Maintenance Optimization
- Neurological Disease Mechanisms and Treatments
- Sirtuins and Resveratrol in Medicine
- Neurological Disorders and Treatments
Southeast University
2025
Xi'an Jiaotong University
2023-2024
Southern Medical University
2019-2022
Inhibition of phosphodiesterase 4 (PDE4) produces neuroprotective effects against cerebral ischemia. However, the involved mechanism remains unclear. Augmentation endoplasmic reticulum (ER) stress promotes neuronal apoptosis, and excessive oxidative is an inducer ER stress. The present study aimed to determine whether suppression in protective PDE4 inhibition We found that exposing HT-22 cells oxygen-glucose deprivation (OGD) significantly activated stress, as evidenced by increased...
Abstract RNA therapeutics have recently shown significant promise in treating a variety of diseases, including cancers, infectious and genetic disorders. However, their potential addressing neuropsychiatric disorders has been limited by the lack an efficient delivery system to central nervous (CNS). Here, novel nanoemulsion platform, perillyl alcohol nanoemulsions (PANEs) is introduced, designed for therapeutic circDYM brain alleviated depressive‐like behaviors. PANEs successfully...
The precise estimate of remaining useful life (RUL) is vital for the prognostic analysis and predictive maintenance that can significantly reduce failure rate costs. degradation-related features extracted from sensor streaming data with neural networks dramatically improve accuracy RUL prediction. Temporal deep degradation network (TDDN) model proposed to make prediction given by one-dimensional convolutional (1D CNN) feature extraction attention mechanism. 1D CNN used extract temporal data....
Pearl River Mouth Basin undergoes complex tectonic evolution processes and forms lacustrine, transitional marine sediments. Drilling shows that there exist large petroleum reserves in the hydrocarbon-rich sags of Basin, South China Sea. To reduce risk, exploration, structural sedimentary characteristics should be identified described. Drilling, seismic, microfossil data are integrated to interpret Basin. By analyzing evolutionary characteristics, three conclusions may drawn: 1) The present...
Accurate co-estimations of battery states, such as state-of-charge (SOC), state-of-health (SOH,) and remaining useful life (RUL), are crucial to the management systems assure safe reliable management. Although external properties charge with aging degree, batteries' degradation mechanism shares similar evolving patterns. Since batteries complicated chemical systems, these states highly coupled intricate electrochemical processes. A state-coupled co-estimation method named Deep Inter...
Accurate state-of-health (SOH) estimation is critical to guarantee the safety, efficiency and reliability of battery-powered applications. Most SOH methods focus on 0-100\% full state-of-charge (SOC) range that has similar distributions. However, batteries in real-world applications usually work partial SOC under shallow-cycle conditions follow different degradation profiles with no labeled data available, thus making challenging. To estimate battery SOH, a novel unsupervised deep transfer...
The reliable and safe battery operations demand accurate estimation of states in the management system (BMS). Due to complex electrochemical process, it is challenging directly measure SOH RUL batteries for online applications. Moreover, aging can strongly influence SOC estimation. paper proposes a SOC, SOH, co-estimation method based on Deep Inter Intra-Cycle Attention Network (DIICAN). From BMS data, dual time-scale inter-cycle intra-cycle features are automatically extracted with neural...