Ray‐Bing Chen
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View article: Nature-inspired metaheuristics for optimizing dose-finding and computationally challenging clinical trial designs
Nature-inspired metaheuristics for optimizing dose-finding and computationally challenging clinical trial designs Open
Metaheuristics are commonly used in computer science and engineering to solve optimization problems, but their potential applications in clinical trial design have remained largely unexplored. This article provides a brief overview of meta…
View article: Hydronephrosis-Induced Polycythemia with Low Erythropoietin Level: A Case Report and Literature Review
Hydronephrosis-Induced Polycythemia with Low Erythropoietin Level: A Case Report and Literature Review Open
Introduction: Polycythemia is a rare condition that can be either primary or secondary. We report a case of an adolescent with progressive hydronephrosis-induced polycythemia and low erythropoietin levels, along with a thorough literature …
View article: Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design
Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design Open
In computer experiments, Gaussian process (GP) models are commonly used for emulation. However, when both qualitative and quantitative factors are in the experiments, emulation using GP models becomes challenging. In particular, when the q…
View article: Prediction and Optimization of Heat Transfer Performance of Premixed Methane Impinging Flame Jet Using the Kriging Model and Genetic Algorithm
Prediction and Optimization of Heat Transfer Performance of Premixed Methane Impinging Flame Jet Using the Kriging Model and Genetic Algorithm Open
In practical applications, rapid prediction and optimization of heat transfer performance are essential for premixed methane impinging flame jets (PMIFJs). This study uses computational fluid dynamics (CFD) combined with a methane detailed…
View article: Association of Neonatal Antibiotic Exposure with Long-Term Growth Trajectory Faltering in Preterm-Birth Children
Association of Neonatal Antibiotic Exposure with Long-Term Growth Trajectory Faltering in Preterm-Birth Children Open
Introduction: Preterm neonates often receive a variety of duration of antibiotic exposure during admission. The aim of the study was to evaluate whether neonatal antibiotic exposure is relevant with longitudinal growth problems in preterm-…
View article: Associations between maternal chronic diseases and congenital anomalies of the kidney and urinary tract in offspring: a population-based cohort study
Associations between maternal chronic diseases and congenital anomalies of the kidney and urinary tract in offspring: a population-based cohort study Open
Background The relationship between maternal chronic diseases and congenital anomalies of the kidneys and urinary tract (CAKUT) in offspring still needs elucidation. This study aimed to comprehensively evaluate the associations between mat…
View article: Semantic Segmentation Using Super Resolution Technique as Pre-Processing
Semantic Segmentation Using Super Resolution Technique as Pre-Processing Open
Combining high-level and low-level visual tasks is a common technique in the field of computer vision. This work integrates the technique of image super resolution to semantic segmentation for document image binarization. It demonstrates t…
View article: CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image Binarization
CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image Binarization Open
To efficiently extract textual information from color degraded document images is a significant research area. The prolonged imperfect preservation of ancient documents has led to various types of degradation, such as page staining, paper …
View article: Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy Open
The Transformer-based method has demonstrated remarkable performance for image super-resolution in comparison to the method based on the convolutional neural networks (CNNs). However, using the self-attention mechanism like SwinIR (Image R…
View article: Acoustic Performance of Stress Gradient-Induced Deflection of Triangular Unimorphic/Bimorphic Cantilevers for MEMS Applications
Acoustic Performance of Stress Gradient-Induced Deflection of Triangular Unimorphic/Bimorphic Cantilevers for MEMS Applications Open
This paper reports two piezoelectric materials of lead zirconium titanate (PZT) and aluminum nitride (AlN) used to simulate microelectromechanical system (MEMS) speakers, which inevitably suffered deflections as induced via the stress grad…
View article: Early-Life Slow Enteral Feeding Progression Pattern Is Associated with Longitudinal Head-Size Growth Faltering and Neurodevelopmental Impairment Outcomes in Extremely Preterm Infants
Early-Life Slow Enteral Feeding Progression Pattern Is Associated with Longitudinal Head-Size Growth Faltering and Neurodevelopmental Impairment Outcomes in Extremely Preterm Infants Open
Objective: To determine whether feeding progression patterns in the first eight postnatal weeks, depicted by clustering analysis of daily enteral feeding volume, are associated with longitudinal head-circumference (HC) growth and neurodeve…
View article: Particle Swarm Optimization for Finding Efficient Longitudinal Exact Designs for Nonlinear Models
Particle Swarm Optimization for Finding Efficient Longitudinal Exact Designs for Nonlinear Models Open
Designing longitudinal studies is generally a very challenging problem because of the complex optimization problems. We show the popular nature-inspired metaheuristic algorithm, Particle Swarm Optimization (PSO), can find different types o…
View article: Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks
Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks Open
The efficient extraction of text information from the background in degraded color document images is an important challenge in the preservation of ancient manuscripts. The imperfect preservation of ancient manuscripts has led to different…
View article: Generative Adversarial Network (GAN) for Automatic Reconstruction of the 3D Spine Structure by Using Simulated Bi-Planar X-ray Images
Generative Adversarial Network (GAN) for Automatic Reconstruction of the 3D Spine Structure by Using Simulated Bi-Planar X-ray Images Open
In this study, we modified the previously proposed X2CT-GAN to build a 2Dto3D-GAN of the spine. This study also incorporated the radiologist’s perspective in the adjustment of input signals to prove the feasibility of the automatic product…
View article: Gestational Age-Related Associations between Early-Life Feeding Trajectories and Growth Outcomes at Term Equivalent Age in Very Preterm Infants
Gestational Age-Related Associations between Early-Life Feeding Trajectories and Growth Outcomes at Term Equivalent Age in Very Preterm Infants Open
Establishing the different feeding trajectories based on daily enteral feeding data in preterm infants at different gestational ages (GAs), may help to identify the risks and extrauterine growth restriction (EUGR) outcomes associated with …
View article: Agreement Between Caregivers' Concerns of Children's Developmental Problems and Professional Identification in Taiwan
Agreement Between Caregivers' Concerns of Children's Developmental Problems and Professional Identification in Taiwan Open
Objective Early detection of developmental delays relies on the accuracy of the caregivers' concerns of children's developmental problems. The aim of this study was to investigate the agreement between the caregivers' awareness of children…
View article: PAX2 Mutation-Related Renal Hypodysplasia: Review of the Literature and Three Case Reports
PAX2 Mutation-Related Renal Hypodysplasia: Review of the Literature and Three Case Reports Open
Paired box 2 ( PAX2 )-related disorder is an autosomal dominant genetic disorder associated with kidney and eye abnormalities and can result in end stage renal disease (ESRD). Despite reported low prevalence of PAX2 mutations, the prevalen…
View article: A Case Series: Continuous Kidney Replacement Therapy in Neonates With Low Body Weight
A Case Series: Continuous Kidney Replacement Therapy in Neonates With Low Body Weight Open
Emerging data indicate that acute kidney injury (AKI) may contribute to a worse prognosis in the infant population. Kidney replacement therapy (KRT) can be used to treat patients with AKI; however, this technique is challenging in patients…
View article: Premature birth carries a higher risk of nephrotic syndrome: a cohort study
Premature birth carries a higher risk of nephrotic syndrome: a cohort study Open
The pathogenesis of nephrotic syndrome is unclear. We conducted a nationwide population-based cohort study to examine the associations between preterm births and subsequent development of NS. NS was defined as ≥ 3 records with ICD-9-CM cod…
View article: Temporal Trends of Acute Kidney Injury and Associated Risk Exposures in Extremely Preterm Infants
Temporal Trends of Acute Kidney Injury and Associated Risk Exposures in Extremely Preterm Infants Open
Background and objectives Neonatal AKI in the preterm population is an under-recognized morbidity. Detecting AKI in preterm infants is important for their long-term kidney health. We aimed to examine the yearly trends of incidence and the …
View article: The Variational Bayesian Inference for Network Autoregression Models
The Variational Bayesian Inference for Network Autoregression Models Open
We develop a variational Bayesian (VB) approach for estimating large-scale dynamic network models in the network autoregression framework. The VB approach allows for the automatic identification of the dynamic structure of such a model and…
View article: Hybrid algorithms for generating optimal designs for discriminating multiple nonlinear models under various error distributional assumptions
Hybrid algorithms for generating optimal designs for discriminating multiple nonlinear models under various error distributional assumptions Open
Finding a model-based optimal design that can optimally discriminate among a class of plausible models is a difficult task because the design criterion is non-differentiable and requires 2 or more layers of nested optimization. We propose …
View article: Expression and Characterization of Rice-produced Recombinant Porcine Lactoferrin and its Antioxidant Activities
Expression and Characterization of Rice-produced Recombinant Porcine Lactoferrin and its Antioxidant Activities Open
Background: Lactoferrin (LF) exhibits multiple beneficial biological activities and thus has been used as a health food and additive. To broaden its application in the food industry, the porcine LF (pLF) gene has been engineered into rice …
View article: Finding Optimal Points for Expensive Functions Using Adaptive RBF-Based Surrogate Model Via Uncertainty Quantification
Finding Optimal Points for Expensive Functions Using Adaptive RBF-Based Surrogate Model Via Uncertainty Quantification Open
Global optimization of expensive functions has important applications in physical and computer experiments. It is a challenging problem to develop efficient optimization scheme, because each function evaluation can be costly and the deriva…
View article: Optimal Noncollapsing Space-Filling Designs for Irregular Experimental Regions
Optimal Noncollapsing Space-Filling Designs for Irregular Experimental Regions Open
Space-filling and noncollapsing are two important properties in designing computer experiments. We study how the noncollapsing, space-filling designs for irregular experimental regions can be generated efficiently by the proposed metaheuri…