- Metabolomics and Mass Spectrometry Studies
- Traffic Prediction and Management Techniques
- Transportation Planning and Optimization
- Anesthesia and Neurotoxicity Research
- Artificial Immune Systems Applications
- Anesthesia and Sedative Agents
- Traffic control and management
- Network Security and Intrusion Detection
- Liver Disease Diagnosis and Treatment
- Cancer, Lipids, and Metabolism
- Energy Load and Power Forecasting
- Anesthesia and Pain Management
- Energy Efficient Wireless Sensor Networks
- Advanced Sensor and Control Systems
- Indoor and Outdoor Localization Technologies
- Advanced Proteomics Techniques and Applications
- Topic Modeling
- Metaheuristic Optimization Algorithms Research
- Spectroscopy and Chemometric Analyses
- Gait Recognition and Analysis
- Safety and Risk Management
- Advanced Chemical Sensor Technologies
- Cancer, Hypoxia, and Metabolism
- Pediatric Pain Management Techniques
- Advanced Algorithms and Applications
Hunan Children's Hospital
2022-2025
Central South University
2024-2025
Wuhan University of Technology
2010-2025
Sanya University
2025
Kyoto University
2025
CCCC Highway Consultants (China)
2018-2024
Hubei University of Technology
2024
Taiyuan University of Technology
2024
China University of Geosciences
2024
Beijing Technology and Business University
2022-2023
Sepsis often results in damage to multiple organ systems, possibly due severe mitochondrial dysfunction. Two members of the sirtuin family, SIRT1 and SIRT3, have been implicated reversal damage. The aim this study was determine role SIRT1/3 acute kidney injury (AKI) following sepsis a septic rat model. After drug pretreatment cecal ligation puncture (CLP) model reproduction rats, we performed survival time evaluation tissue extraction renal tubular epithelial cell (RTEC) isolation. We...
Breast cancer is a clinically heterogeneous disease, which necessitates variety of treatments and leads to different outcomes. As an example, only some women will benefit from chemotherapy. Identifying patients who respond chemotherapy thereby improve their long‐term survival has important implications treatment protocols outcomes, while identifying non responders may enable these avail themselves other investigational approaches or potentially effective treatments. In this study, serum...
Background Esophageal adenocarcinoma (EAC) is a rarely curable disease and rapidly rising worldwide in incidence. Barret's esophagus (BE) high-grade dysplasia (HGD) are considered major risk factors for invasive adenocarcinoma. In the current study, unbiased global metabolic profiling methods were applied to serum samples from patients with EAC, BE HGD, healthy individuals, order identify metabolite based biomarkers associated early stages of EAC goal improving prognostication....
Sepsis is the leading cause of death in intensive care unit and continues to lack effective treatment. It widely accepted that high-mobility group box 1 (HMGB1) a key inflammatory mediator pathogenesis sepsis. Moreover, some studies indicate functions HMGB1 depend on its molecular localization posttranslational modifications. Our previous study confirms sirtuin 1, silent information regulator 2-related enzyme (SIRT1), type III deacetylase, can ameliorate sepsis-associated acute kidney injury...
A convenient and fast method for quantifying urea in biofluids is demonstrated using NMR analysis the solvent water signal as a concentration reference. The can be accurately determined with errors less than 3% between 1 mM 50 mM, 2% above urine serum. promising various applications advantages of simplicity, high accuracy, non-destructive detection. With an ability to measure other metabolites simultaneously, this also likely find metabolic profiling system biology.
Gait recognition has received widespread attention due to its non-intrusive mechanism. Currently, most gait methods use appearance-based methods, and such are easily affected by occlusions when facing complex environments, which in turn affects the accuracy. With maturity of pose estimation techniques, model-based have more their robustness environments. However, current mainly focus on modeling global feature information spatial dimension, ignoring importance local features influence...
Yarrowia lipolytica is an oleaginous ascomycete yeast that accumulates large amounts of lipids and has potential as a biofuel producing organism. Despite growing scientific literature focused on lipid production by Y. lipolytica, there remain significant knowledge gaps regarding the key biological processes involved. We applied combination metabolomic lipidomic profiling approaches well microscopic techniques to identify characterize pathways involved in de novo accumulation from glucose...
Esketamine has unique advantages in combination with dexmedetomidine for sedation young children, owing to its sympathetic activity and mild respiratory depression. However, the optimal dose is yet be determined. In this study, we compared different doses of intranasal esketamine combined during transthoracic echocardiography toddlers. A total 121 eligible children aged 13 years, who were scheduled randomized into three groups. They treated 1 mcg.kg-1 + 0.5 mg.kg-1 (group S1), S2), or 1.5...
The available data on the effect of dexmedetomidine premedication anesthesia depth in children during general are limited. This study was designed to determine preoperative administration bispectral index (BIS) and sevoflurane requirements anesthesia. 120 aged 5 12 years undergoing concealed penis repair or hypospadias plastic surgery were randomized receive 0.25 µg kg− 1 dexmedetomidine, 0.5 0.75 same volume placebo. primary outcome change BIS value from before 60 min after surgical...
Metabolite identification in the complex NMR spectra of biological samples is a challenging task due to significant spectral overlap and limited signal-to-noise. In this study we present new approach, RANSY (ratio analysis spectroscopy), which identifies all peaks specific metabolite on basis ratios peak heights or integrals. We show that spectrum for an individual can be generated by exploiting fact any are fixed proportional relative numbers magnetically distinct protons. When divided...
ABSTRACT The yeast Yarrowia lipolytica is a potent accumulator of lipids, and lipogenesis in this organism can be influenced by variety factors, such as genetics environmental conditions. Using multifactorial study, we elucidated the effects both genetic factors on regulation Y. identified how two opposite regulatory states result lipid accumulation. This study involved comparison strain overexpressing diacylglycerol acyltransferase ( DGA1 ) with control grown under either nitrogen or carbon...
Accurate traffic flow forecasting is a crucial component of intelligent transportation systems, playing pivotal role in enhancing intelligence. The integration Graph Neural Networks (GNNs) and Transformers has gained significant adoption for prediction accuracy. Yet, the complex spatial temporal dependencies present data continue to pose substantial challenges: (1) Most GNN-based methods assume that graph structure reflects actual between nodes, overlooking real-world context. (2) Standard...
NMR spectroscopy is a powerful analytical tool for both qualitative and quantitative analysis. However, accurate analysis in complex fluids such as human blood plasma challenging, using one-dimensional limited by signal overlap. It impractical to use heteronuclear experiments involving natural abundance 13C on routine basis due low sensitivity, despite their improved resolution. Focusing circumventing bottlenecks, this study demonstrates the utility of combination isotope enhanced analyze...
Node deployment optimization is one of the application points wireless sensor networks (WSN), and it also a hot topic that scholars have studied in recent years. Aiming at problems exist WSN node deployment, such as uneven distribution nodes incomplete coverage, this paper proposes an method for based on ant-lion algorithm. Firstly, establishes mathematical model to cover target area with nodes. Then, problem transformed into finding maximum value function. Finally, ALO algorithm used obtain...
In recent years, traffic forecasting has gradually become a core component of smart cities. Due to the complex spatial-temporal correlation data, flow prediction is highly challenging. Existing studies are mainly focused on graphical modeling fixed road structures. However, this structure cannot accurately capture relationship between different roads, affecting accuracy long-term prediction. order address problem, paper proposes framework STN-GCN for normalized convolutional neural networks....
Abstract A new trend in long-range biometrics, gait recognition, is finding application a number of different fields including video surveillance. Recently, with the increase robustness pose estimator and presence various unpredictable factors realistic skeleton-based methods higher have emerged to better meet challenging recognition needs. However, existing approaches primarily focus on extracting global skeletal features, neglecting intricate motion information local body parts overlooking...
Acute kidney injury (AKI) frequently occurs as a complication of sepsis. PANoptosis refers to type inflammatory programmed cell death that exhibits key characteristics apoptosis, necroptosis, and pyroptosis. Here, we evaluated the role absent in melanoma 2 (AIM2) eukaryotic translation initiation factor alpha kinase (EIF2AK2) septic AKI.
Despite the fact that colorectal cancer (CRC) is one of most prevalent and deadly cancers in world, development improved robust biomarkers to enable screening, surveillance, therapy monitoring CRC continues be evasive. In particular, patients with colon polyps are at higher risk developing cancer; however, noninvasive methods identify these suffer from poor performance. consideration challenges involved identifying metabolite individuals high for cancer, we have investigated NMR-based...