Lifei Chen
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View article: Tracking myopia development through axial length progression: a retrospective longitudinal study
Tracking myopia development through axial length progression: a retrospective longitudinal study Open
This study develops a personalized prediction model for progressive myopia, grounded on factors of the first visit AL progression and baseline AL/CR. The model offers a dynamic and reliable foundation for selecting effective myopia control…
View article: Interpretable Active Learning Identifies Iron‐Doped Carbon Dots With High Photothermal Conversion Efficiency for Antitumor Synergistic Therapy
Interpretable Active Learning Identifies Iron‐Doped Carbon Dots With High Photothermal Conversion Efficiency for Antitumor Synergistic Therapy Open
Active learning (AL) is a powerful method for accelerating novel materials discovery but faces huge challenges for extracting physical meaning. Herein, we novelly apply an interpretable AL strategy to efficiently optimize the photothermal …
View article: Remaining useful life prediction of lithium-ion batteries using a novel particle flow filter framework with grey model
Remaining useful life prediction of lithium-ion batteries using a novel particle flow filter framework with grey model Open
View article: CORAL: Concept Drift Representation Learning for Co-evolving Time-series
CORAL: Concept Drift Representation Learning for Co-evolving Time-series Open
In the realm of time series analysis, tackling the phenomenon of concept drift poses a significant challenge. Concept drift -- characterized by the evolving statistical properties of time series data, affects the reliability and accuracy o…
View article: Insights into a Novel and Efficient Microbial Nest System for Treating Pig Farm Wastewater
Insights into a Novel and Efficient Microbial Nest System for Treating Pig Farm Wastewater Open
View article: Effects of Floral Characters on the Pollination Biology and Breeding System of Iris setosa (Iridaceae): A Cold-Tolerant Ornamental Species from Jilin Province
Effects of Floral Characters on the Pollination Biology and Breeding System of Iris setosa (Iridaceae): A Cold-Tolerant Ornamental Species from Jilin Province Open
Floral phenology and features are intricately linked to pollinator behavior and pollination systems. Iris setosa is one of the ornamental irises of the family Iridaceae with beautiful flowers and leaves, and little research has been report…
View article: Remaining useful life prediction of lithium-ion batteries using a novel particle flow filter framework with grey model
Remaining useful life prediction of lithium-ion batteries using a novel particle flow filter framework with grey model Open
Remaining useful life (RUL) prediction is a crucial aspect of the prognostics health management of lithium-ion batteries (LIBs). Owing to the influence of resampling technology, particle degradation is often observed in the particle filter…
View article: A knowledge graph-based method for intelligent risk assessment of power grid
A knowledge graph-based method for intelligent risk assessment of power grid Open
With the advancement of science and technology, the material resources that support people’s lives are becoming increasingly abundant, leading to increasingly complex accidents in the electricity system caused by factors such as Natech. Cu…
View article: WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?
WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series? Open
Dynamic concepts in time series are crucial for understanding complex systems such as financial markets, healthcare, and online activity logs. These concepts help reveal structures and behaviors in sequential data for better decision-makin…
View article: Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking Open
In the contemporary of deep learning, where models often grapple with the challenge of simultaneously achieving robustness against adversarial attacks and strong generalization capabilities, this study introduces an innovative Local Featur…
View article: Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability Open
Kolmogorov-Arnold Networks (KAN) is a groundbreaking model recently proposed by the MIT team, representing a revolutionary approach with the potential to be a game-changer in the field. This innovative concept has rapidly garnered worldwid…
View article: Exploring Color Invariance through Image-Level Ensemble Learning
Exploring Color Invariance through Image-Level Ensemble Learning Open
In the field of computer vision, the persistent presence of color bias, resulting from fluctuations in real-world lighting and camera conditions, presents a substantial challenge to the robustness of models. This issue is particularly pron…
View article: Evolution Mechanism of Flexural Wave Band Gap in Plate-Type Metamaterials and Low-Frequency Band Gap Regulation Strategy
Evolution Mechanism of Flexural Wave Band Gap in Plate-Type Metamaterials and Low-Frequency Band Gap Regulation Strategy Open
View article: Inverse Design of Ideal Pre-Stress Distribution in Assembly Interface Based on Service Performance
Inverse Design of Ideal Pre-Stress Distribution in Assembly Interface Based on Service Performance Open
View article: Insights into a Novel and Efficient Microbial Nest System for Treating Pig Farm Wastewater
Insights into a Novel and Efficient Microbial Nest System for Treating Pig Farm Wastewater Open
View article: Transfer of massive mitochondria from astrocytes reduce propofol neurotoxicity
Transfer of massive mitochondria from astrocytes reduce propofol neurotoxicity Open
Studies have shown that propofol-induced neurotoxicity is mediated by disruption of mitochondrial fission and fusion, leading to an imbalance in energy supply for developing neurons. Healthy mitochondria released from astrocytes migrate to…
View article: Automated EEG Pathology Detection Based on Significant Feature Extraction and Selection
Automated EEG Pathology Detection Based on Significant Feature Extraction and Selection Open
Neurological diseases are a significant health threat, often presenting through abnormalities in electroencephalogram (EEG) signals during seizures. In recent years, machine learning (ML) technologies have been explored as a means of autom…
View article: Compartmentalization engineering of yeasts to overcome precursor limitations and cytotoxicity in terpenoid production
Compartmentalization engineering of yeasts to overcome precursor limitations and cytotoxicity in terpenoid production Open
Metabolic engineering strategies for terpenoid production have mainly focused on bottlenecks in the supply of precursor molecules and cytotoxicity to terpenoids. In recent years, the strategies involving compartmentalization in eukaryotic …
View article: Role of ferroptosis in hypoxic preconditioning to reduce propofol neurotoxicity
Role of ferroptosis in hypoxic preconditioning to reduce propofol neurotoxicity Open
Background: An increasing number of studies have reported that neurotoxicity of propofol may cause long-term learning and cognitive dysfunction. Hypoxic preconditioning has been shown to have neuroprotective effects, reducing the neurotoxi…
View article: Syringa oblata genome provides new insights into molecular mechanism of flower color differences among individuals and biosynthesis of its flower volatiles
Syringa oblata genome provides new insights into molecular mechanism of flower color differences among individuals and biosynthesis of its flower volatiles Open
Syringa oblata is a high ornamental value tree owing to its elegant colors, unique aromas and wide adaptability, however, studies on the molecular mechanism underlying the formation of its ornamental traits are still lacking. Here, we pres…
View article: Automatic detection of abnormal EEG signals using multiscale features with ensemble learning
Automatic detection of abnormal EEG signals using multiscale features with ensemble learning Open
Electroencephalogram (EEG) is an economical and convenient auxiliary test to aid in the diagnosis and analysis of brain-related neurological diseases. In recent years, machine learning has shown great potential in clinical EEG abnormality …
View article: Pathogen effector AvrSr35 triggers Sr35 resistosome assembly via a direct recognition mechanism
Pathogen effector AvrSr35 triggers Sr35 resistosome assembly via a direct recognition mechanism Open
Nucleotide-binding, leucine-rich repeat receptors (NLRs) perceive pathogen effectors to trigger plant immunity. The direct recognition mechanism of pathogen effectors by coiled-coil NLRs (CNLs) remains unclear. We demonstrate that the Trit…
View article: Protective Effects of Remimazolam on Cerebral Ischemia/Reperfusion Injury in Rats by Inhibiting of NLRP3 Inflammasome-Dependent Pyroptosis
Protective Effects of Remimazolam on Cerebral Ischemia/Reperfusion Injury in Rats by Inhibiting of NLRP3 Inflammasome-Dependent Pyroptosis Open
Min Shi,* Jing Chen,* Tianxiao Liu,* Weixin Dai, Zhan Zhou, Lifei Chen, Yubo Xie Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People’s Republic of China*These authors contribut…
View article: PPAR-γ Promotes the Polarization of Rat Retinal Microglia to M2 Phenotype by Regulating the Expression of CD200-CD200R1 Under Hypoxia
PPAR-γ Promotes the Polarization of Rat Retinal Microglia to M2 Phenotype by Regulating the Expression of CD200-CD200R1 Under Hypoxia Open
View article: Dynamic order Markov model for categorical sequence clustering
Dynamic order Markov model for categorical sequence clustering Open
View article: Robust Person Re-identification with Multi-Modal Joint Defence.
Robust Person Re-identification with Multi-Modal Joint Defence. Open
The Person Re-identification (ReID) system based on metric learning has been
proved to inherit the vulnerability of deep neural networks (DNNs), which are
easy to be fooled by adversarail metric attacks. Existing work mainly relies on
adve…
View article: Person Re-identification Method Based on Color Attack and Joint Defence
Person Re-identification Method Based on Color Attack and Joint Defence Open
The main challenges of ReID is the intra-class variations caused by color deviation under different camera conditions. Simultaneously, we find that most of the existing adversarial metric attacks are realized by interfering with the color …
View article: Kernel-based Data Transformation Model for Nonlinear Classification of Symbolic Data
Kernel-based Data Transformation Model for Nonlinear Classification of Symbolic Data Open
Symbolic data are usually composed of some categorical variables used to represent discrete entities in many real-world applications. Mining of symbolic data is more difficult than numerical data due to the lack of inherent geometric prope…
View article: Self-Expressive Kernel Subspace Clustering Algorithm for Categorical Data with Embedded Feature Selection
Self-Expressive Kernel Subspace Clustering Algorithm for Categorical Data with Embedded Feature Selection Open
Kernel clustering of categorical data is a useful tool to process the separable datasets and has been employed in many disciplines. Despite recent efforts, existing methods for kernel clustering remain a significant challenge due to the as…
View article: A Hierarchical Approach for Android Malware Detection Using Authorization-Sensitive Features
A Hierarchical Approach for Android Malware Detection Using Authorization-Sensitive Features Open
Android’s openness has made it a favorite for consumers and developers alike, driving strong app consumption growth. Meanwhile, its popularity also attracts attackers’ attention. Android malware is continually raising issues for the user’s…