A5016635931- Recommender Systems and Techniques
- Image Retrieval and Classification Techniques
- Pain Mechanisms and Treatments
- Acupuncture Treatment Research Studies
- Software Reliability and Analysis Research
- Healthcare and Venom Research
- Advanced Graph Neural Networks
- Software Testing and Debugging Techniques
- Reliability and Maintenance Optimization
- Topic Modeling
- Data Management and Algorithms
- Software Engineering Research
- Advanced Image and Video Retrieval Techniques
- Advanced Bandit Algorithms Research
- Bayesian Modeling and Causal Inference
- Software System Performance and Reliability
- Pharmacological Effects of Natural Compounds
- Dermatology and Skin Diseases
- Stochastic Gradient Optimization Techniques
- Calpain Protease Function and Regulation
- Orthopedic Surgery and Rehabilitation
- Syphilis Diagnosis and Treatment
- Neuroscience and Neuropharmacology Research
- Graph Theory and Algorithms
- Augmented Reality Applications
Wuhan No.1 Hospital
2018-2024
Wuhan Third Hospital
2017-2023
Huazhong University of Science and Technology
2015-2017
Ordnance Engineering College
2006-2013
Background Paclitaxel is commonly used as a cancer chemotherapy drug that frequently causes peripheral neuropathic pain. Inflammasome multiprotein complex consisting of Nod-like receptor proteins (NLRPs), apoptosis-associated speck-like protein, and caspase-1, which functions to switch on the inflammatory process release interleukin-1β. Growing evidences have supported interleukin-1β critical in enhancing paclitaxel-induced However, whether activation NLRP3 inflammasome nerve contributes...
Knee osteoarthritis (KOA) is a highly prevalent, chronic joint disorder, with pain as its typical symptom. Although studies have shown that an activated peripheral CB2 receptor can reduce acute pain, whether the involved in electroacupuncture (EA) inhibiting and mechanism remains unclear. The aim of this study was to investigate EA may strengthen receptor-inhibited mouse model KOA.KOA induced by intra-articular injection monosodium iodoacetate (MIA) into left knee mice. Thermal hyperalgesia...
The problem of learning conditional preference networks (CP-nets) from a set examples has received great attention recently. However, because the randomicity users' behaviors and observation errors, there is always some noise making inconsistent, namely, exists at least one outcome preferred over itself (by transferring) in examples. Existing CP-nets methods cannot handle inconsistent In this work, we introduce model consistent present method to solve model. We do not learn directly....
Type 1 and type 2 cannabinoid receptors (CB1 CB2, respectively) mediate cannabinoid-induced analgesia. Loss of endogenous CB1 is associated with hyperalgesia. However, the downstream targets affected by ablation in primary sensory neurons remain unknown. In present study, we hypothesized that conditional knockout (CB1cKO) alters gene expression dorsal root ganglion (DRG) targeting these pathways alleviates neuropathic pain. We found CB1cKO induced tamoxifen adult Advillin-Cre:CB1-floxed mice...
Background Calpain is a calcium-dependent cysteine protease, and inhibition of calpain by pre-treatment with MDL28170 attenuated the rat mechanical allodynia in variety pain models. Postherpetic neuralgia (Shingles) neuropathic conditioned presence profound allodynia. Systemic injection resiniferatoxin can reproduce clinical symptoms postherpetic neuralgia. In this study, we determined to study whether activation contributes cleave myelin basic protein dorsal root involved...
Test case design is a key factor to improve software reliability level. A new method for test based on Markov chain usage model presented. Construction steps of Model UML are introduced. described with directed graph. Auto generation arithmetic proposed ease the in practice. Based method, an ATM designed and demonstrated. The result proves this paper practical efficient engineering practices.
In this paper, we proposed a framework to address the problem of binary object (2D or 3D) recognition. our method, is represented as Skeleton Tree (ST), transformed from its skeleton (or centerline). Both topological and geometrical features are embedded in ST allows comparisons between different objects by tree matching algorithms. descriptor used represent ST, maximal isomorphic subtrees (MIST) obtained searching for longest substrings descriptors. A novel method based on also presented....
To observe the effect of different frequencies electroacupuncture (EA) stimulation on pain threshold (PT) and expression vascular endothelial growth factor (VEGF) in dorsal horns (DHs) lumbar spinal cord resiniferatoxin (RTX)-induced post-herpetic neuralgia (PHN) rats, so as to reveal its mechanism alleviating PHN.Male SD rats were randomized into control, model, 2 Hz-EA, 15 100 Hz-EA sham EA groups (n=16 each). The PHN model was induced by a single intraperitoneal injection RTX (250 μg/kg),...
Constructing software reliability growth model (SRGM) is an important method to evaluate reliability. The common SRGMs usually assume that faults are removed immediately when detected. And new aren't introduced. It not the truth. In this paper, a SRGM presented. correlation of detection process and removing considered, testing effort divided into effort, modeled separately. Compared with other models, it showed presented has best fitting capability predicting by experiments on two data sets.
To observe the clinical effect of pricking-cupping combined with auricular thumbtack needle for postherpetic neuralgia (PHN)
Deep learning based recommendation methods, such as the recurrent neural network method (RNNRec) and gated unit (GRU) (GRURec), are proposed to solve problem of time heterogeneous feedback recommendation. These methods out-perform several state-of-the-art methods. However, in RNNRec GRURec, action vectors item shared among users. The different meanings same for users not considered. Similarly, user preference is also ignored. To address this problem, models GRURec modified paper. In...
How to represent the users' preference is one of principle problems in widely used recommender systems. To address this problem, paper, expressibility, space complexity and learning different kinds models are investigated. The recommendation performances these also compared on a real-life dataset. Considering both expressibility computational complexity, quadric model most suited
In this paper, the hypothesis that detected faults will be immediately removed is revised. An integration of fault detection process and correction considered. According to statistic faults, two new frameworks, which are SRGM framework including repeated (CRDW) excluding (CNRDW), presented. The above not only can predict number cumulative but also corrected faults. as an example, reliability models gained from CNRDW with different process. fitting capability prediction evaluated by open...