Zi–Qiang Lang
YOU?
Author Swipe
View article: The Scarlet Alchemy of Survival: Integrated Transcriptomic and Metabolomic Analysis of Leaf Coloration in Endangered Parrotia subaequalis
The Scarlet Alchemy of Survival: Integrated Transcriptomic and Metabolomic Analysis of Leaf Coloration in Endangered Parrotia subaequalis Open
Parrotia subaequalis is a rare and endangered deciduous tree native to China, valued for its vibrant autumn foliage and ornamental appeal. Its leaves exhibit striking coloration, ranging from red to yellow and purple, yet the physiological…
View article: Transmissibility function analysis for the detection and localization of damage with nonlinear features in MDOF structural systems
Transmissibility function analysis for the detection and localization of damage with nonlinear features in MDOF structural systems Open
Transmissibility function analysis refers to the evaluation of the ratio between the spectra of two different outputs of a system and has been widely used for the detection and localization of damage in linear structural systems. In this a…
View article: Machine learning prediction and parameter sensitivity analysis of top earth pressure of high-filled cut-and-cover tunnels
Machine learning prediction and parameter sensitivity analysis of top earth pressure of high-filled cut-and-cover tunnels Open
To quickly and effectively predict the unknown top earth pressure of high-filled cut-and-cover tunnels (HFCCTs), a prediction model of top earth pressure of HFCCTs based on machine learning was proposed. The data set was established by tak…
View article: Blood pressure and its associations in 554 children and young people with congenital adrenal hyperplasia
Blood pressure and its associations in 554 children and young people with congenital adrenal hyperplasia Open
Background Congenital adrenal hyperplasia (CAH) due to 21-hydroxylase deficiency (21OHD) affects approximately 1 in 15 000 individuals. We leveraged the power of multicentre registry data to assess the trend and predictors of blood pressur…
View article: Optimizing Sensor Placement for Enhanced Source Term Estimation in Chemical Plants
Optimizing Sensor Placement for Enhanced Source Term Estimation in Chemical Plants Open
The leakage of hazardous chemical gases in chemical plants can lead to severe consequences. Source term estimation (STE) algorithms are effective in locating the leak source. The layout of the sensor network significantly affects the perfo…
View article: Inverse Design with Dynamic Mode Decomposition
Inverse Design with Dynamic Mode Decomposition Open
We introduce a computationally efficient method for the automation of inverse design in science and engineering. Based on simple least-square regression, the underlying dynamic mode decomposition algorithm can be used to construct a low-ra…
View article: NonSysId: A nonlinear system identification package with improved model term selection for NARMAX models
NonSysId: A nonlinear system identification package with improved model term selection for NARMAX models Open
System identification involves constructing mathematical models of dynamic systems using input-output data, enabling analysis and prediction of system behaviour in both time and frequency domains. This approach can model the entire system …
View article: Developing a logistic regression model to predict spontaneous preterm birth from maternal socio-demographic and obstetric history at initial pregnancy registration
Developing a logistic regression model to predict spontaneous preterm birth from maternal socio-demographic and obstetric history at initial pregnancy registration Open
Background Current predictive machine learning techniques for spontaneous preterm birth heavily rely on a history of previous preterm birth and/or costly techniques such as fetal fibronectin and ultrasound measurement of cervical length to…
View article: 6437 Analysis of 17-OH-Progesterone (17OHP) and Androstenedione (A4) Profiles To Rationalise Biochemical Monitoring Of CAH Patients
6437 Analysis of 17-OH-Progesterone (17OHP) and Androstenedione (A4) Profiles To Rationalise Biochemical Monitoring Of CAH Patients Open
Disclosure: N.R. Lawrence: None. N.P. Krone: None. J.F. Dawson: None. Z. Lang: None. W. Arlt: Advisory Board Member; Self; Diurnal. A. Brac de la Perriere: Research Investigator; Self; Diurnal. A.L. Hirschberg: Research Investigator; Self;…
View article: Digital twin-based anomaly detection for real-time tool condition monitoring in machining
Digital twin-based anomaly detection for real-time tool condition monitoring in machining Open
Real-time tool condition monitoring (TCM) has been emerging as a key technology for smart manufacturing. TCM can improve the dimensional accuracy of products, minimize machine tool downtime, and eliminate scraps and re-work costs. Digital …
View article: Vibration Signal-Based Tool Condition Monitoring Using Regularized Sensor Data Modeling and Model Frequency Analysis
Vibration Signal-Based Tool Condition Monitoring Using Regularized Sensor Data Modeling and Model Frequency Analysis Open
Tool condition monitoring (TCM) plays a vital role in maintaining product quality and improving productivity in advanced manufacturing.However, complex machining environments often limit the monitoring accuracy of conventional monitoring s…
View article: Tool Condition Monitoring Based on Nonlinear Output Frequency Response Functions and Multivariate Control Chart
Tool Condition Monitoring Based on Nonlinear Output Frequency Response Functions and Multivariate Control Chart Open
Tool condition monitoring (TCM) is a key technology for intelligent manufacturing. The objective is to monitor the tool operation status and detect tool breakage so that the tool can be changed in time to avoid significant damage to workpi…
View article: A Quantitative Risk Assessment Model for Domino Accidents of Hazardous Chemicals Transportation
A Quantitative Risk Assessment Model for Domino Accidents of Hazardous Chemicals Transportation Open
In recent years, hazardous materials transportation accidents have received increasing attention. Previous studies have focused on accidents involving a single vehicle. When vehicles loaded with materials gather on a stretch of road, a pot…
View article: Analysis and design of non-linear seismic isolation systems for building structures—An overview
Analysis and design of non-linear seismic isolation systems for building structures—An overview Open
In this paper, the development of non-linear building isolation systems is overviewed. The study summarizes commonly used linear building isolation systems in two categories, which are building base isolation systems and building inter-sto…
View article: Hysteretic behaviour of uniaxially thermoformed auxetic foams under 3-point bending low-frequency vibration
Hysteretic behaviour of uniaxially thermoformed auxetic foams under 3-point bending low-frequency vibration Open
The work describes experiments and models related to auxetic (negative Poisson’s ratio) foams subjected to low-frequency and variable amplitude 3-point bending loading. A custom 3-point bending vibration test rig is designed and used to pe…
View article: The design of nonlinear damped building isolation systems by using mobility analysis
The design of nonlinear damped building isolation systems by using mobility analysis Open
Additional power law nonlinear damping has shown advantages in seismic isolation of buildings. The design of nonlinear damped building isolation systems can be conducted in the frequency domain based on the output frequency response functi…
View article: A Novel Multi-Sensor Data-Driven Approach to Source Term Estimation of Hazardous Gas Leakages in the Chemical Industry
A Novel Multi-Sensor Data-Driven Approach to Source Term Estimation of Hazardous Gas Leakages in the Chemical Industry Open
Source term estimation (STE) is crucial for understanding and addressing hazardous gas leakages in the chemical industry. Most existing methods basically use an atmospheric transport and dispersion (ATD) model to predict the concentrations…
View article: E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information Flow
E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information Flow Open
Binary neural network (BNN) provides a promising solution to deploy parameter-intensive deep single image super-resolution (SISR) models onto real devices with limited storage and computational resources. To achieve comparable performance …
View article: Beneficial effects of antisymmetric nonlinear damping with application to energy harvesting and vibration isolation under general inputs
Beneficial effects of antisymmetric nonlinear damping with application to energy harvesting and vibration isolation under general inputs Open
Beneficial effects of nonlinear damping on energy harvesting and vibration isolation under harmonic inputs have been investigated showing that the introduction of nonlinear damping can increase the harvested energy and reduce the vibration…