Chuandong Li
YOU?
Author Swipe
View article: Dynamical Analysis of a Fractional-Order Memristive Bridge-Coupled HR and FN Neuron Model with Crosstalk
Dynamical Analysis of a Fractional-Order Memristive Bridge-Coupled HR and FN Neuron Model with Crosstalk Open
Recent advances in crosstalk simulation using integer-order memristive synapses have shown considerable progress. However, most existing models still employ a single-memristor structure, which constrains synaptic weight modulation and make…
View article: Network Meta-Analysis Of Bone Rrepairmaterials For Apical Bone Defects
Network Meta-Analysis Of Bone Rrepairmaterials For Apical Bone Defects Open
Aim or purpose: This study used the network meta-analysis(NMA) method to compare and rank the efficacy of bone repair materials for apical bone defects. Materials and methods: The randomized controlled trials on the treatment of apical bon…
View article: A holomorphic embedding power flow method based on dynamic power restart
A holomorphic embedding power flow method based on dynamic power restart Open
View article: Mechanism by which hydrogen-rich water mitigates exercise-induced fatigue: activation of the immunoresponsive gene 1-itaconate/nuclear factor erythroid 2-related factor 2/heme oxygenase-1 pathway
Mechanism by which hydrogen-rich water mitigates exercise-induced fatigue: activation of the immunoresponsive gene 1-itaconate/nuclear factor erythroid 2-related factor 2/heme oxygenase-1 pathway Open
JOURNAL/mgres/04.03/01612956-202603000-00005/figure1/v/2025-08-04T105942Z/r/image-tiff Exercise-induced fatigue limits athletic performance. Molecular hydrogen is an effective treatment for relieving fatigue, but the exact mechanism is not…
View article: The effectiveness and cost-effectiveness of population-level policies to reduce alcohol use: A systematic umbrella review
The effectiveness and cost-effectiveness of population-level policies to reduce alcohol use: A systematic umbrella review Open
Objective To systematically review and synthesize evidence from reviews about the effectiveness and cost-effectiveness of population-level policies to reduce alcohol use. Methods We searched peer-reviewed literature using eight electronic …
View article: Impact of Optical Communication Link Error on Large-Scale AI Training in Data Centers
Impact of Optical Communication Link Error on Large-Scale AI Training in Data Centers Open
Recently, data centers (DCs) have been increasingly dedicated to artificial intelligence (AI) training processes. To enable large-scale model training, parallelization schemes such as distributed data parallelism (DDP) and pipeline paralle…
View article: Lazy Shadow Paging Under the RISC-V Architecture
Lazy Shadow Paging Under the RISC-V Architecture Open
View article: Memristor-Based Selective Convolutional Circuit for High-Density Salt-and-Pepper Noise Removal
Memristor-Based Selective Convolutional Circuit for High-Density Salt-and-Pepper Noise Removal Open
In this article, we propose a memristor-based selective convolutional (MSC) circuit for salt-and-pepper (SAP) noise removal. We implement its algorithm using memristors in analog circuits. In experiments, we build the MSC model and benchma…
View article: Holomorphic embedding method based Three-Phase power flow algorithm considering the sensitivity of the initial value
Holomorphic embedding method based Three-Phase power flow algorithm considering the sensitivity of the initial value Open
The transmission network is generally considered as three-phase balanced, while the consideration of three-phase unbalance is mainly on distribution networks. However, with the increasingly interconnection of renewable energy, such as wind…
View article: Leveraging large language models for comprehensive locomotion control in humanoid robots design
Leveraging large language models for comprehensive locomotion control in humanoid robots design Open
This paper investigates the utilization of large language models (LLMs) for the comprehensive control of humanoid robot locomotion. Traditional reinforcement learning (RL) approaches for robot locomotion are resource-intensive and rely hea…
View article: Ultra-Short-Term Wind Farm Power Prediction Considering Correlation of Wind Power Fluctuation
Ultra-Short-Term Wind Farm Power Prediction Considering Correlation of Wind Power Fluctuation Open
Accurate ultra-short-term power prediction for wind farms is challenging under rapid wind speed fluctuations, complicating production planning and power balancing. This paper proposes a new method considering spatial and temporal correlati…
View article: Experimental Comparison of Average-Power Constrained and Peak-Power Constrained 64QAM under Optimal Clipping in 400Gbps Unamplified Coherent Links
Experimental Comparison of Average-Power Constrained and Peak-Power Constrained 64QAM under Optimal Clipping in 400Gbps Unamplified Coherent Links Open
We experimentally demonstrated an end-to-end link budget optimization over clipping in 400Gbps unamplified links, showing that the clipped MB distribution outperforms the peak-power constrained 64QAM by 1dB link budget.
View article: An elliptical dual-band antenna with crescent slot for 5G mmWave applications
An elliptical dual-band antenna with crescent slot for 5G mmWave applications Open
This paper proposes a new elliptical dual-band antenna with a crescent slot with the advantages of compactness, lightweightness, low cost, and easy installation for 5G mmWave applications. The radiating element is obtained by Boolean manip…
View article: Preparation and Simulation of 3D Printed Cu/ZnO Structured Catalysts for On-Board Methanol Steam Reforming
Preparation and Simulation of 3D Printed Cu/ZnO Structured Catalysts for On-Board Methanol Steam Reforming Open
Currently, the main types of methanol steam reforming (MSR) reactors used in vehicles are fixed bed reactors and microchannel reactors.However, these two-dimensional reactors have limitations such as restricted radial diffusion, catalyst c…
View article: Fast Successive-Cancellation Decoding of 2 x 2 Kernel Non-Binary Polar Codes: Identification, Decoding and Simplification
Fast Successive-Cancellation Decoding of 2 x 2 Kernel Non-Binary Polar Codes: Identification, Decoding and Simplification Open
Non-binary polar codes (NBPCs) decoded by successive cancellation (SC) algorithm have remarkable bit-error-rate performance compared to the binary polar codes (BPCs). Due to the serial nature, SC decoding suffers from large latency. The la…
View article: The Synchronisation Problem of Chaotic Neural Networks Based on Saturation Impulsive Control and Intermittent Control
The Synchronisation Problem of Chaotic Neural Networks Based on Saturation Impulsive Control and Intermittent Control Open
This paper primarily focuses on the chaos synchronisation analysis of neural networks (NNs) under a hybrid controller. Firstly, we design a suitable hybrid controller with saturated impulse control, combined with time-dependent intermitten…
View article: STUDY ON THE SPATIAL PATTERNS, EVOLUTION CHARACTERISTICS AND DRIVING MECHANISM OF GREEN SPACES IN A TYPICAL RESOURCE-EXHAUSTED CITY IN CHINA
STUDY ON THE SPATIAL PATTERNS, EVOLUTION CHARACTERISTICS AND DRIVING MECHANISM OF GREEN SPACES IN A TYPICAL RESOURCE-EXHAUSTED CITY IN CHINA Open
View article: Exponential Stability of Continuous-Time and Discrete-Time Neural Networks with Saturated Impulses
Exponential Stability of Continuous-Time and Discrete-Time Neural Networks with Saturated Impulses Open
View article: Load Forecasting for Iron and Steel Industry Based on Hybrid Mechanism- and Data-Driven
Load Forecasting for Iron and Steel Industry Based on Hybrid Mechanism- and Data-Driven Open
View article: Multiobjective Optimization of a Novel Hybrid Triply Periodic Minimal Surface Structural Catalyst and Reactors for On-Board Methanol Steam Reforming
Multiobjective Optimization of a Novel Hybrid Triply Periodic Minimal Surface Structural Catalyst and Reactors for On-Board Methanol Steam Reforming Open
View article: Holomorphic Embedding Method Based Three-Phase Power Flow Algorithm Considering the Sensitivity of the Initial Value
Holomorphic Embedding Method Based Three-Phase Power Flow Algorithm Considering the Sensitivity of the Initial Value Open
View article: Air embolism after CT-guided localization of pulmonary ground-glass nodules
Air embolism after CT-guided localization of pulmonary ground-glass nodules Open
Objective: To investigate the incidence of air embolism (AE) related to CT-guided localization of pulmonary ground-glass nodules (GGNs) prior to video-assisted thoracoscopic surgery (VATS). Methods: The data of all patients who received CT…
View article: Design of All-Optical Subtractors Utilized with Plasmonic Ring Resonators for Optical Computing
Design of All-Optical Subtractors Utilized with Plasmonic Ring Resonators for Optical Computing Open
In this paper, a novel plasmonic all-optical half-subtractor and full-subtractor are designed for optical computing. The structure of plasmonic subtractors consists of a metal–insulator–metal (MIM) waveguide and rectangular ring resonators…
View article: Multimodal Associative Memory Based on Forgetting Memristor Bridge Synapse Circuit
Multimodal Associative Memory Based on Forgetting Memristor Bridge Synapse Circuit Open
View article: Pt-Co-K Nanoparticles Supported on Al2o3 Via Ball Milling as an Efficient Catalyst for Preferential Oxidation of Co Towards Hydrogen Purification
Pt-Co-K Nanoparticles Supported on Al2o3 Via Ball Milling as an Efficient Catalyst for Preferential Oxidation of Co Towards Hydrogen Purification Open
View article: Learned Signal-to-Noise Ratio Estimation in Optical Fiber Communication Links
Learned Signal-to-Noise Ratio Estimation in Optical Fiber Communication Links Open
This paper proposes a signal-to-noise ratio (SNR) estimator based on recurrent neural network (RNN) in optical fiber communication links. The proposed estimator jointly estimates the linear and nonlinear components of the SNR. The input fe…
View article: Learning for Perturbation-Based Fiber Nonlinearity Compensation
Learning for Perturbation-Based Fiber Nonlinearity Compensation Open
Several machine learning inspired methods for perturbation-based fiber nonlinearity (PBNLC) compensation have been presented in recent literature. We critically revisit acclaimed benefits of those over non-learned methods. Numerical result…
View article: Long-term and Short-term Memory Networks Based on Forgetting Memristors
Long-term and Short-term Memory Networks Based on Forgetting Memristors Open
The hardware circuit of neural network based on forgetting memristor not only has the characteristics of high computational efficiency and low power consumption, but also has the advantage that a memristor can store the weight of long-term…
View article: Influencing factors and paths of direct carbon emissions from the energy consumption of rural residents in central China determined using a questionnaire survey
Influencing factors and paths of direct carbon emissions from the energy consumption of rural residents in central China determined using a questionnaire survey Open
Rural residents have unique lifestyle characteristics, energy consumption methods, energy-saving behaviors, and awareness. And the direct carbon emission from rural residents is based on the combined effect of multiple factors. In order to…
View article: Clinical Outcomes of Patients with Peritoneal Metastasis-Only Colorectal Cancer Treated with First-Line Bevacizumab and FOLFIRI Through Irinotecan Dose Escalation According to UGT1A1 Polymorphism: Compared to Liver Metastasis-Only, and Lung Metastasis-Only
Clinical Outcomes of Patients with Peritoneal Metastasis-Only Colorectal Cancer Treated with First-Line Bevacizumab and FOLFIRI Through Irinotecan Dose Escalation According to UGT1A1 Polymorphism: Compared to Liver Metastasis-Only, and Lung Metastasis-Only Open
Ching-Chun Li,1 Tsung-Kun Chang,1,2 Yen-Cheng Chen,1,3 Hsiang-Lin Tsai,1,2 Ching-Wen Huang,1,2 Wei-Chih Su,1,3 Cheng-Jen Ma,1,3 Tzu-Chieh Yin,1,4,5 Po-Jung Chen,1 Jaw-Yuan Wang1– 3,6– 8 1Division of Colorectal Surgery, Department of Surger…