A5006282634- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Advanced Multi-Objective Optimization Algorithms
- Cholangiocarcinoma and Gallbladder Cancer Studies
- RNA modifications and cancer
- Neural Networks and Applications
- Cancer-related molecular mechanisms research
- Energy Load and Power Forecasting
- Peptidase Inhibition and Analysis
- Wind and Air Flow Studies
- Cleft Lip and Palate Research
- Wind Energy Research and Development
- Energy and Environment Impacts
- Artificial Immune Systems Applications
- Water-Energy-Food Nexus Studies
- Immune cells in cancer
- Immune Cell Function and Interaction
- Building Energy and Comfort Optimization
- Optical Systems and Laser Technology
- Craniofacial Disorders and Treatments
- Neural Networks and Reservoir Computing
- Vehicle Routing Optimization Methods
- Liver Disease Diagnosis and Treatment
- Immune Response and Inflammation
- Circular RNAs in diseases
Soil and Fertilizer Institute of Hunan Province
2025
Ningbo University
2020-2025
Nanjing Forestry University
2025
Northwest University
2025
Jiangsu Province Hospital
2020-2024
First Affiliated Hospital of Anhui Medical University
2024
Nanjing Medical University
2020-2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2018-2024
Dalian Medical University
2021-2024
Chongqing Medical University
2021-2024
An artificial neural network (ANN) that mimics the information processing mechanisms and procedures of neurons in human brains has achieved a great success many fields, e.g., classification, prediction, control. However, traditional ANNs suffer from problems, such as hard understanding problem, slow difficult training difficulty to scale them up. These problems motivate us develop new dendritic neuron model (DNM) by considering nonlinearity synapses, not only for better biological neuronal...
JADE is a differential evolution (DE) algorithm and has been shown to be very competitive in comparison with other evolutionary optimization algorithms. However, it suffers from the premature convergence problem easily trapped into local optima. This article presents novel variant by incorporating chaotic search (CLS) mechanisms alleviate this problem. Taking advantages of ergodicity nonrepetitious nature chaos, can diversify population thus chance explore huge space. Because inherent...
A gravitational search algorithm (GSA) uses force among individuals to evolve population. Though GSA is an effective population-based algorithm, it exhibits low performance and premature convergence. To ameliorate these issues, this work proposes a multi-layered called MLGSA. Inspired by the two-layered structure of GSA, four layers consisting population, iteration-best, personal-best global-best are constructed. Hierarchical interactions dynamically implemented in different stages greatly...
In this paper, a global optimum-based search strategy is proposed to alleviate the situation that differential evolution (DE) usually sticks into stagnation, especially on complex problems. It aims reconstruct balance between exploration and exploitation, improve efficiency solution quality of DE. The method activated by recording number recently consecutive unsuccessful optimum updates. takes feedback from optimum, which makes not only refine current quality, but also have change find other...
Some recent research reports that a dendritic neuron model (DNM) can achieve better performance than traditional artificial networks (ANNs) on classification, prediction, and other problems when its parameters are well-tuned by learning algorithm. However, the back-propagation algorithm (BP), as mostly used algorithm, intrinsically suffers from defects of slow convergence easily dropping into local minima. Therefore, more adopts non-BP algorithms to train ANNs. In this paper, dynamic...
Abstract Molecular variation between geographical populations and subtypes indicate potential genomic heterogeneity novel features within CCA. Here, we analyze exome-sequencing data of 87 perihilar cholangiocarcinoma (pCCA) 261 intrahepatic (iCCA) cases from 3 Asian centers (including 43 pCCAs 24 iCCAs our center). iCCA tumours demonstrate a higher tumor mutation burden copy number alteration (CNAB) than pCCA tumours, high CNAB indicates poorer prognosis. We identify 12 significantly mutated...
Abstract Background circular RNAs (circRNAs) have been reported to exert important effects in the progression of numerous cancers. However, functions circRNAs intrahepatic cholangiocarcinoma (ICC) are still unclear. Methods circPCNXL2 (has_circ_0016956) were identified paired ICC by circRNA microarray. Then, we assessed biological CCK8, EdU, clone formation, transwell, wound healing assays, and xenograft models. RNA pull-down, mass spectrometry, immunoprecipitation (RIP) applied explore...
Deubiquitylating enzymes (DUBs) play an essential role in targeted protein degradation and represent emerging therapeutic paradigm cancer.However, their potential cholangiocarcinoma (CCA) has not been explored.Herein, based on The Cancer Genome Atlas (TCGA) Gene Expression Omnibus (GEO) databases, we found that ubiquitin-specific protease 21 (USP21) was upregulated CCA, high USP21 level associated with poor prognosis.In vivo vitro, identified as a master regulator of CCA growth maintenance,...