User profiles for "author:Xufeng Huang"
Xufeng HuangHuazhong University of Science & Technology Verified email at hust.edu.cn Cited by 478 |
[HTML][HTML] Lactate in the tumor microenvironment: A rising star for targeted tumor therapy
Z Li, Q Wang, X Huang, M Yang, S Zhou, Z Li… - Frontiers in …, 2023 - frontiersin.org
Metabolic reprogramming is one of fourteen hallmarks of tumor cells, among which aerobic
glycolysis, often known as the “Warburg effect,” is essential to the fast proliferation and …
glycolysis, often known as the “Warburg effect,” is essential to the fast proliferation and …
[HTML][HTML] A literature review: mechanisms of antitumor pharmacological action of leonurine alkaloid
Leonurine refers to the desiccated aerial portion of a plant in the Labiatae family. The
primary bioactive constituent of Leonurine is an alkaloid, Leonurine alkaloid (Leo) …
primary bioactive constituent of Leonurine is an alkaloid, Leonurine alkaloid (Leo) …
Intelligent mechanical fault diagnosis using multisensor fusion and convolution neural network
Diagnosis of mechanical faults in manufacturing systems is critical for ensuring safety and
saving costs. With the development of data transmission and sensor technologies …
saving costs. With the development of data transmission and sensor technologies …
Fault diagnosis of rotating machinery based on recurrent neural networks
Fault diagnosis of rotating machinery is essential for maintaining system performance and
ensuring the operation safety. Deep learning (DL) has been recently developed rapidly and …
ensuring the operation safety. Deep learning (DL) has been recently developed rapidly and …
[HTML][HTML] Integrating multiple machine learning methods to construct glutamine metabolism-related signatures in lung adenocarcinoma
P Zhang, S Pei, L Wu, Z Xia, Q Wang… - Frontiers in …, 2023 - frontiersin.org
Background Glutamine metabolism (GM) is known to play a critical role in cancer
development, including in lung adenocarcinoma (LUAD), although the exact contribution of …
development, including in lung adenocarcinoma (LUAD), although the exact contribution of …
Transfer learning based on improved stacked autoencoder for bearing fault diagnosis
Deep transfer learning algorithm is regarded as a promising method to address the issue of
rolling bearing fault diagnosis with limited labeled data. Stacked autoencoder (SAE) has …
rolling bearing fault diagnosis with limited labeled data. Stacked autoencoder (SAE) has …
[HTML][HTML] Brief literature review and comprehensive bioinformatics analytics unravel the potential mechanism of curcumin in the treatment of periodontitis
X Huang, Y Liu, Q Wang, HM Rehman, D Horváth… - BMC Oral Health, 2023 - Springer
Objective Periodontitis is a chronic oral disease prevalent worldwide, and natural products
are recommended as adjunctive therapy due to their minor side effects. Curcumin, a widely …
are recommended as adjunctive therapy due to their minor side effects. Curcumin, a widely …
Deep transfer convolutional neural network and extreme learning machine for lung nodule diagnosis on CT images
Diagnosis of benign–malignant nodules in the lung on Computed Tomography (CT) images
is critical for determining tumor level and reducing patient mortality. Deep learning-based …
is critical for determining tumor level and reducing patient mortality. Deep learning-based …
In situ quality inspection with layer-wise visual images based on deep transfer learning during selective laser melting
Selective laser melting is the most commonly used additive manufacturing technique for
fabricating metal components. However, the SLMed part quality still largely suffered from the …
fabricating metal components. However, the SLMed part quality still largely suffered from the …
[HTML][HTML] Establishment of a novel lysosomal signature for the diagnosis of gastric cancer with in-vitro and in-situ validation
Q Wang, Y Liu, Z Li, Y Tang, W Long, H Xin… - Frontiers in …, 2023 - frontiersin.org
Background Gastric cancer (GC) represents a malignancy with a multi-factorial combination
of genetic, environmental, and microbial factors. Targeting lysosomes presents significant …
of genetic, environmental, and microbial factors. Targeting lysosomes presents significant …