Steven W. Su
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View article: Autism spectrum disorder–risk genes have convergent effects on transcription and neuronal firing patterns in primary neurons
Autism spectrum disorder–risk genes have convergent effects on transcription and neuronal firing patterns in primary neurons Open
Autism spectrum disorder (ASD) is a highly heterogenous neurodevelopmental disorder with numerous genetic risk factors. Notably, a disproportionate number of risk genes encode transcription regulators including transcription factors and pr…
View article: TriCLFF: a multi-modal feature fusion framework using contrastive learning for spatial domain identification
TriCLFF: a multi-modal feature fusion framework using contrastive learning for spatial domain identification Open
Spatial transcriptomics (ST) encompasses rich multi-modal information related to cell state and organization. Precisely identifying spatial domains with consistent gene expression patterns and histological features is a critical task in ST…
View article: Analysis of the Guiding Opinions on the Application of the Justifiable Defense System According to Law
Analysis of the Guiding Opinions on the Application of the Justifiable Defense System According to Law Open
China’s Supreme People’s Court, the Supreme People’s Procuratorate and the Ministry of Public Security on September 3, 2020 jointly issued the “guidance on the application of legitimate self-defense system according to law” (hereinafter re…
View article: Self‐triggered MPC based on disturbance prediction and adjustable prediction horizon for a class of nonlinear systems
Self‐triggered MPC based on disturbance prediction and adjustable prediction horizon for a class of nonlinear systems Open
This paper designs a self‐triggered model predictive controller based on disturbance prediction and adjustable prediction horizon for a class of constrained nonlinear systems with incompletely measurable states, reducing computational burd…
View article: Autism spectrum disorder risk genes have convergent effects on transcription and neuronal firing patterns in primary neurons
Autism spectrum disorder risk genes have convergent effects on transcription and neuronal firing patterns in primary neurons Open
Autism spectrum disorder (ASD) is a highly heterogenous neurodevelopmental disorder with numerous genetic risk factors. Notably, a disproportionate number of risk genes encode transcription regulators including transcription factors and pr…
View article: Tube-based integral sliding mode predictive control scheme for constrained uncertain nonlinear time-delay system
Tube-based integral sliding mode predictive control scheme for constrained uncertain nonlinear time-delay system Open
For a class of constrained uncertain nonlinear time-delay systems, how to achieve their stability and robustness is a crucial issue. To this end, this paper proposes a tube-based integral sliding mode predictive control scheme (ISMPC). The…
View article: A Field Calibration Approach for Triaxial MEMS Gyroscopes Based on Gravity and Rotation Consistency
A Field Calibration Approach for Triaxial MEMS Gyroscopes Based on Gravity and Rotation Consistency Open
This paper developed an efficient method for calibrating triaxial MEMS gyroscopes, which can be effectively utilized in the field environment. The core strategy is to utilize the criterion that the dot product of the measured gravity and t…
View article: Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models
Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models Open
The present study introduces an innovative approach to the synthesis of Electroencephalogram (EEG) signals by integrating diffusion models with reinforcement learning. This integration addresses key challenges associated with traditional E…
View article: Performance of a Novel Electronic Nose for the Detection of Volatile Organic Compounds Relating to Starvation or Human Decomposition Post-Mass Disaster
Performance of a Novel Electronic Nose for the Detection of Volatile Organic Compounds Relating to Starvation or Human Decomposition Post-Mass Disaster Open
There has been a recent increase in the frequency of mass disaster events. Following these events, the rapid location of victims is paramount. Currently, the most reliable search method is scent detection dogs, which use their sense of sme…
View article: Application of gas sensor technology to locate victims in mass disasters – a review
Application of gas sensor technology to locate victims in mass disasters – a review Open
The occurrence of mass disasters are increasing as a result of changing climates and the growing threat of terrorist activities/conflicts. When these tragedies strike, it is critical to locate victims. While search and rescue dogs are trai…
View article: Human-Machine Co-Adaptation for Robot-Assisted Rehabilitation via Dual-Agent Multiple Model Reinforcement Learning (DAMMRL)
Human-Machine Co-Adaptation for Robot-Assisted Rehabilitation via Dual-Agent Multiple Model Reinforcement Learning (DAMMRL) Open
This study introduces a novel approach to robot-assisted ankle rehabilitation by proposing a Dual-Agent Multiple Model Reinforcement Learning (DAMMRL) framework, leveraging multiple model adaptive control (MMAC) and co-adaptive control str…
View article: In-field gyroscope autocalibration with iterative attitude estimation
In-field gyroscope autocalibration with iterative attitude estimation Open
This paper presents an efficient in-field calibration method tailored for low-cost triaxial MEMS gyroscopes often used in healthcare applications. Traditional calibration techniques are challenging to implement in clinical settings due to …
View article: Ante- and post-mortem human volatiles for disaster search and rescue
Ante- and post-mortem human volatiles for disaster search and rescue Open
Ante-mortem metabolic processes are responsible for the release of volatile organic compounds, which form the primary component of human scent and are used by search-and-rescue canines in victim location efforts. Similarly, the post-mortem…
View article: Sufficient D-Stability Conditions for Non-Square Matrices
Sufficient D-Stability Conditions for Non-Square Matrices Open
This note explores the extension of D-stability to non-square matrices, applicable to distributed/decentralized controllability analysis. We first present a definition of D-stability for non-square matrices, directly extending from square …
View article: On-site scale factor linearity calibration of MEMS triaxial gyroscopes
On-site scale factor linearity calibration of MEMS triaxial gyroscopes Open
The calibration of MEMS triaxial gyroscopes is crucial for achieving precise attitude estimation for various wearable health monitoring applications. However, gyroscope calibration poses greater challenges compared to accelerometers and ma…
View article: Multi-trait genetic analysis identifies novel pleiotropic loci for stroke and hematological traits or risk factors
Multi-trait genetic analysis identifies novel pleiotropic loci for stroke and hematological traits or risk factors Open
Accumulating evidence suggests a correlation between stroke and hematological traits along with their associated risk factors, yet the precise shared genetic basis remains elusive. We collected GWAS summary statistics of stroke and potenti…
View article: EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks
EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks Open
Brain-Computer Interfaces (BCIs) rely on accurately decoding electroencephalography (EEG) motor imagery (MI) signals for effective device control. Graph Neural Networks (GNNs) outperform Convolutional Neural Networks (CNNs) in this regard,…
View article: EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification Open
Brain-Computer Interfaces connect the brain to external control devices, necessitating the accurate translation of brain signals such as from electroencephalography (EEG) into executable commands. Graph Neural Networks (GCN) have been incr…
View article: Special Stable Matrices and Their Non-square Counterpart
Special Stable Matrices and Their Non-square Counterpart Open
In this note, we discuss the extension of several important stable square matrices, e.g., D-stable matrices, diagonal dominance matrices, Volterra-Lyapunov stable matrices, to their corresponding non-square matrices. The extension is motiv…
View article: An automated system for polymer wear debris analysis in total disc arthroplasty using convolution neural network
An automated system for polymer wear debris analysis in total disc arthroplasty using convolution neural network Open
Introduction: Polymer wear debris is one of the major concerns in total joint replacements due to wear-induced biological reactions which can lead to osteolysis and joint failure. The wear-induced biological reactions depend on the wear vo…