The intelligent traffic flow control system based on 6G and optimized genetic algorithm
C Ding, L Zhu, L Shen, Z Li, Y Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the acceleration of urbanization, the problem of urban traffic congestion has become
increasingly serious. This study aims to develop an intelligent traffic flow control system based …
increasingly serious. This study aims to develop an intelligent traffic flow control system based …
NDLSC: A new deep learning-based approach to smart contract vulnerability detection
X Zenggang, L Qiangqiang, L Youfeng, C Hao… - Journal of Signal …, 2025 - Springer
With the rapid development of blockchain technology, the role of smart contracts as an important
part of the blockchain has become more and more significant, bringing unprecedented …
part of the blockchain has become more and more significant, bringing unprecedented …
Uric acid induces oxidative stress and growth inhibition by activating adenosine monophosphate-activated protein kinase and extracellular signal-regulated kinase …
Y Zhang, T Yamamoto, I Hisatome, Y Li… - Molecular and cellular …, 2013 - Elsevier
Hyperuricaemia is a disorder of purine metabolism, and is strongly associated with insulin
resistance and abnormal glucose metabolism. As the producer of insulin, pancreatic β cells …
resistance and abnormal glucose metabolism. As the producer of insulin, pancreatic β cells …
The hemoglobin, albumin, lymphocyte, and platelet (HALP) score is associated with poor outcome of acute ischemic stroke
M Tian, Y Li, X Wang, X Tian, L Pei, X Wang… - Frontiers in …, 2021 - frontiersin.org
Background: The combined index of hemoglobin, albumin, lymphocyte, and platelet (HALP)
is considered a novel score to reflect systemic inflammation and nutritional status. This study …
is considered a novel score to reflect systemic inflammation and nutritional status. This study …
Secure routing strategy based on attribute-based trust access control in social-aware networks
…, Z Xiong, Y Liu, Y Rao, Y Lyu, Y Li, D Hou, Y Li - Journal of Signal …, 2024 - Springer
In social aware networks, the routing protocol possesses a considerable amount of
sensitive user information during node transmission. When selecting the next hop node for …
sensitive user information during node transmission. When selecting the next hop node for …
AMP-Activated Protein Kinase Suppresses the In Vitro and In Vivo Proliferation of Hepatocellular Carcinoma
J Cheng, T Huang, Y Li, Y Guo, Y Zhu, Q Wang, X Tan… - PloS one, 2014 - journals.plos.org
AMP-activated protein kinase (AMPK) is a central metabolic sensor and plays an important
role in regulating glucose, lipid and cholesterol metabolism. Therefore, AMPK is a key …
role in regulating glucose, lipid and cholesterol metabolism. Therefore, AMPK is a key …
[HTML][HTML] Metformin suppresses hepatocellular carcinoma cell growth through induction of cell cycle G1/G0 phase arrest and p21CIP and p27KIP expression and …
X Cai, X Hu, B Cai, Q Wang, Y Li, X Tan… - Oncology …, 2013 - spandidos-publications.com
Metformin is used as a first-line therapy for type 2 diabetes, with reports of its usefulness for
the prevention and control of several types of cancers. This study investigated the effects of …
the prevention and control of several types of cancers. This study investigated the effects of …
Electricity theft detection in smart grids based on omni-scale CNN and AutoXGB
S Zhu, Z Xue, Y Li - IEEE Access, 2024 - ieeexplore.ieee.org
Electricity theft is a prevalent global issue that has detrimental effects on both utility providers
and electricity consumers. This phenomenon undermines the economic stability of utility …
and electricity consumers. This phenomenon undermines the economic stability of utility …
Multi-disciplinary team for early gastric cancer diagnosis improves the detection rate of early gastric cancer
L Di, H Wu, R Zhu, Y Li, X Wu, R Xie, H Li, H Wang… - BMC …, 2017 - Springer
Background Gastric cancer is a frequent malignant tumor worldwide and its early detection
is crucial for curing the disease and enhancing patients’ survival rate. This study aimed to …
is crucial for curing the disease and enhancing patients’ survival rate. This study aimed to …
A novel Bayesian learning method for information aggregation in modular neural networks
Modular neural network is a popular neural network model which has many successful
applications. In this paper, a sequential Bayesian learning (SBL) is proposed for modular neural …
applications. In this paper, a sequential Bayesian learning (SBL) is proposed for modular neural …