Zhiyu Shi
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View article: A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation
A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation Open
Diffusion Models have become a cornerstone of modern generative AI for their exceptional generation quality and controllability. However, their inherent \textit{multi-step iterations} and \textit{complex backbone networks} lead to prohibit…
View article: A multichannel extension of free-vibration-response based mode decomposition
A multichannel extension of free-vibration-response based mode decomposition Open
View article: Machine learning-driven immune signature identification for enhanced prognostic stratification and personalized therapy in colorectal Cancer: An AI-powered multi-omics approach
Machine learning-driven immune signature identification for enhanced prognostic stratification and personalized therapy in colorectal Cancer: An AI-powered multi-omics approach Open
View article: Mode Recognition of Chinese National Music Using Machine Learning for Intelligent Electronic Music Systems
Mode Recognition of Chinese National Music Using Machine Learning for Intelligent Electronic Music Systems Open
This paper proposes an intelligent mode recognition framework for Chinese national music by integrating traditional music theory with machine learning techniques tailored for electronic music systems. The framework constructs a mode templa…
View article: Flexural performance and damage evolution of coral sand reinforced concrete beams strengthened with CFRP sheets: A machine learning-based analysis
Flexural performance and damage evolution of coral sand reinforced concrete beams strengthened with CFRP sheets: A machine learning-based analysis Open
View article: Platelet-Rich Plasma-Induced Analgesia in Peripheral Nerve Repair: Mechanisms, Cautions, and Clinical Promise [Letter]
Platelet-Rich Plasma-Induced Analgesia in Peripheral Nerve Repair: Mechanisms, Cautions, and Clinical Promise [Letter] Open
View article: Adiponectin Assists Thrombopoietic Agents in ITP Treatment by Enhancing Myosin‐9/Rab6A‐Mediated Trafficking of c‐Mpl in MKs
Adiponectin Assists Thrombopoietic Agents in ITP Treatment by Enhancing Myosin‐9/Rab6A‐Mediated Trafficking of c‐Mpl in MKs Open
Immune thrombocytopenia (ITP) is an autoimmune disorder characterized by accelerated platelet destruction and defective platelet production. The thrombopoietin (TPO)‐activated c‐Mpl signaling pathway has been proven to promote megakaryocyt…
View article: Global spatiotemporal distribution characteristics and regional risk stratification model of acute myeloid leukaemia based on molecular genetics and cytogenetic features
Global spatiotemporal distribution characteristics and regional risk stratification model of acute myeloid leukaemia based on molecular genetics and cytogenetic features Open
Summary Genetic abnormalities in acute myeloid leukaemia (AML) patients are usually conducted in small or regional studies; there is currently a lack of research on whether genetic abnormalities in each continent have regional specificity.…
View article: Development and validation of prognostic and diagnostic models utilizing immune checkpoint-related genes in public datasets for clear cell renal cell carcinoma
Development and validation of prognostic and diagnostic models utilizing immune checkpoint-related genes in public datasets for clear cell renal cell carcinoma Open
Background Clear cell renal cell carcinoma (ccRCC) is the most prevalent subtype of renal cell carcinoma, and immune checkpoint regulator-based immunotherapy has emerged as an effective treatment for advanced stages of the disease. However…
View article: Machine-Learned Force Field for Molecular Dynamics Simulations of Nonequilibrium Ammonia Synthesis on Iron Catalysts
Machine-Learned Force Field for Molecular Dynamics Simulations of Nonequilibrium Ammonia Synthesis on Iron Catalysts Open
Ammonia (NH3) is one of the most important industrial chemicals. The conventional NH3 synthesis method-the Haber–Bosch process-converts atmospheric nitrogen (N2) into NH3 using H2 with…
View article: Plasma assisted NH3/H2/air ignition in nanosecond discharges with non-equilibrium energy transfer
Plasma assisted NH3/H2/air ignition in nanosecond discharges with non-equilibrium energy transfer Open
View article: Damage Mode Identification of Cfrp Sheet Strengthened Coral Aggregate Reinforced Concrete Beams Based on Acoustic Emission Technology
Damage Mode Identification of Cfrp Sheet Strengthened Coral Aggregate Reinforced Concrete Beams Based on Acoustic Emission Technology Open
View article: Constraint Interval Model Updating with Chebyshev Inclusion Functions
Constraint Interval Model Updating with Chebyshev Inclusion Functions Open
View article: Interpretable attention-based transfer learning in plasma catalysis: a study on the role of surface charge
Interpretable attention-based transfer learning in plasma catalysis: a study on the role of surface charge Open
Low-temperature plasma catalysis holds promise for electrification of energy-intensive chemical processes such as methane reforming and ammonia synthesis.
View article: An iterative method with Fourier series for multi-channel blind chirp component source separation in time varying structural modal analysis
An iterative method with Fourier series for multi-channel blind chirp component source separation in time varying structural modal analysis Open
View article: Research on the recoil reduction efficiency of a recoilless launch gun with high projectile velocity
Research on the recoil reduction efficiency of a recoilless launch gun with high projectile velocity Open
Recoilless launch can improve the adaptability of unmanned platforms to weapons by eliminating recoil, but it has the disadvantage of reducing the initial velocity of the projectile. The initial velocity of the recoilless gun can be improv…
View article: Conservative Analysis of Transient Heat Transfer in Thermal Protection Systems with Interval Parameters
Conservative Analysis of Transient Heat Transfer in Thermal Protection Systems with Interval Parameters Open
There are many uncertainties in the actual use of thermal protection systems (TPSs). In this paper, an interval finite element model of a TPS under transient heat transfer is established by taking the uncertainties of TPSs as interval para…
View article: Acute myeloid leukemia cells adhere to bone marrow and acquire chemoresistance by downregulating UNC5B expression
Acute myeloid leukemia cells adhere to bone marrow and acquire chemoresistance by downregulating UNC5B expression Open
Acute myeloid leukemia (AML) is a malignant tumor of the hematological system. Because of its characteristics of recurrence, refractory and chemoresistance, new therapeutic targets need to be identified. Adhesion and proliferation are char…
View article: CircBIRC6 affects prostate cancer progression by regulating miR-574-5p and DNAJB1
CircBIRC6 affects prostate cancer progression by regulating miR-574-5p and DNAJB1 Open
CircBIRC6 is highly expressed in prostate cancer samples. Knockdown of its expression inhibits cell proliferation, invasion, EMT and autophagy and promotes apoptosis. CircBIRC6/miRNA-574-5p/DNAJB1 is a molecular axis that regulates prostat…
View article: Interpretable Attention-based Transfer Learning in Plasma Catalysis: A Study on the Role of Surface Charge
Interpretable Attention-based Transfer Learning in Plasma Catalysis: A Study on the Role of Surface Charge Open
Low-temperature plasma catalysis holds promise for electrification of energy-intensive chemical processes such as methane reforming and ammonia synthesis. However, fundamental understanding of plasma-catalyst interactions, essential for ca…
View article: Quasi-Classical Trajectory Calculation of Rate Constants Using an Ab Initio Trained Machine Learning Model (aML-MD) with Multifidelity Data
Quasi-Classical Trajectory Calculation of Rate Constants Using an Ab Initio Trained Machine Learning Model (aML-MD) with Multifidelity Data Open
Machine learning (ML) provides a great opportunity for the construction of models with improved accuracy in classical molecular dynamics (MD). However, the accuracy of a ML trained model is limited by the quality and quantity of the traini…
View article: Unraveling Nonequilibrium Generation of Atomic Nitrogen and Hydrogen in Plasma-Aided Ammonia Synthesis
Unraveling Nonequilibrium Generation of Atomic Nitrogen and Hydrogen in Plasma-Aided Ammonia Synthesis Open
In this study, nonequilibrium generation of atomic nitrogen and hydrogen governing ammonia production both in the gas phase and on the catalyst surface is critical to plasma-aided ammonia synthesis. Here, this work studies the nonequilibri…
View article: Kinetics of low temperature plasma assisted NH3/H2 oxidation in a nanosecond-pulsed discharge
Kinetics of low temperature plasma assisted NH3/H2 oxidation in a nanosecond-pulsed discharge Open
View article: Numerical modeling of plasma assisted deflagration to detonation transition in a microscale channel
Numerical modeling of plasma assisted deflagration to detonation transition in a microscale channel Open
View article: Development and Validation of Prognostic and Diagnostic Models Utilizing Immune Checkpoint-Related Genes Egfr, Trib3, Zap70, and Cd4 in Clear Cell Renal Cell Carcinoma
Development and Validation of Prognostic and Diagnostic Models Utilizing Immune Checkpoint-Related Genes Egfr, Trib3, Zap70, and Cd4 in Clear Cell Renal Cell Carcinoma Open
View article: Constraint Interval Model Updating with Chebyshev Inclusion Functions
Constraint Interval Model Updating with Chebyshev Inclusion Functions Open
View article: Kernel Regression Residual Decomposition-Based Polynomial Frequency Modulation Integral Algorithm to Identify Physical Parameters of Time-Varying Systems under Random Excitation
Kernel Regression Residual Decomposition-Based Polynomial Frequency Modulation Integral Algorithm to Identify Physical Parameters of Time-Varying Systems under Random Excitation Open
The physical parameters (stiffness, damping) of time-varying (TV) systems under random excitation provide valuable information for their working condition but they are often overwhelmed by noise interference. To overcome this problem, this…
View article: Band Gap Properties in Metamaterial Beam with Spatially Varying Interval Uncertainties
Band Gap Properties in Metamaterial Beam with Spatially Varying Interval Uncertainties Open
First, this study proposed a metamaterial beam model with spatially varying interval density. The interval dynamic equation of this model could be established by incorporating the decomposition results of the interval field based on Karhun…
View article: Flexural wave bandgap properties of phononic crystal beams with interval parameters
Flexural wave bandgap properties of phononic crystal beams with interval parameters Open
Uncertainties are unavoidable in practical engineering, and phononic crystals are no exception. In this paper, the uncertainties are treated as the interval parameters, and an interval phononic crystal beam model is established. A perturba…
View article: Instantaneous Modal Parameter Identification of Time-Varying Systems Based on Kernel Regression Residual Decomposition Enhanced Polynomial Chirplet Transform
Instantaneous Modal Parameter Identification of Time-Varying Systems Based on Kernel Regression Residual Decomposition Enhanced Polynomial Chirplet Transform Open