A5045195700- Statistical Methods and Inference
- Electrochemical sensors and biosensors
- Statistical Methods and Bayesian Inference
- Insurance, Mortality, Demography, Risk Management
- Health Systems, Economic Evaluations, Quality of Life
- Advancements in Transdermal Drug Delivery
- Advanced Drug Delivery Systems
- Advanced biosensing and bioanalysis techniques
- Surface Modification and Superhydrophobicity
- Nanocluster Synthesis and Applications
- Dye analysis and toxicity
- Advanced Causal Inference Techniques
- Analytical Chemistry and Sensors
- Electrochemical Analysis and Applications
- Molecular Sensors and Ion Detection
- Aerogels and thermal insulation
- Bee Products Chemical Analysis
- Advanced Chemical Sensor Technologies
- Biosensors and Analytical Detection
- Advanced Sensor and Energy Harvesting Materials
- Advanced Nanomaterials in Catalysis
- Carbon and Quantum Dots Applications
- Pain Mechanisms and Treatments
Shanghai Institute of Technology
2023-2024
University of Saskatchewan
2024
Toray (China)
2023
Taiyuan Institute of Technology
2015-2021
Shanxi University
2015-2016
Benefiting from the advantages of light weight, porosity, high specific surface area and ultra-low thermal conductivity, silica aerogel (SiAG) has been regarded as ideal insulation material. However, low strength fragility limited its application. In this paper, needled nonwoven (NNW) composed polyphenylene sulfide fibers pre-oxidized was applied substrate for incorporating with (SiAG/NNW) to coordinate heat preservation. Various characterizations were carried out discuss property. The...
The scheme of the turn-off colorimetric response AA to TMB–MnO<sub>2</sub> NP system.
Abstract Herein, poly (diallyldimethylammonium chloride) (PDDA) functionalized gold nanoparticles/graphene (AuNPs/Gr) composites were prepared by the one‐pot method under simple, rapid and mild conditions. The nanocomposites combined excellent conductivity electrocatalytic performance of Gr AuNPs. Based on above advantages, an outstanding electrochemical sensor was constructed to detect sunset yellow (SY) tartrazine (TZ) simultaneously. Under optimum conditions, linear response ranges for SY...
Survival analysis often involves modeling hazard functions while considering frailty to account for unobserved cluster-level factors in clustered survival data. Shared models have gained popularity this purpose, but assessing covariate functional form these presents unique challenges. Martingale and deviance residuals are commonly used visually against continuous covariates. Nevertheless, their subjective nature lack of a reference distribution make it challenging derive numerical...
Residual diagnostic methods play a critical role in assessing model assumptions and detecting outliers statistical modelling. In the context of survival models with censored observations, Li et al. (2021) introduced Z-residual, which follows an approximately normal distribution under true model. This property makes it possible to use Z-residuals for diagnosing way similar how Pearson residuals are used regression. However, computing based on full dataset can result conservative bias that...
This paper compares six different parameter estimation methods for shared frailty models via a series of simulation studies. A model is survival that incorporates random effect term, where the frailties are common or among individuals within specific groups. Several available fitting models, such as penalized partial likelihood (PPL), expectation-maximization (EM), pseudo full (PFL), hierarchical (HL), maximum marginal (MML), and maximization (MPL) algorithms. These implemented in various R...
In survival analysis, the hazard function often depends on a set of covariates. Martingale and deviance residual are most widely used for examining validity form covariates by checking whether there is discernible trend in their scatterplot against continuous However, visual inspection martingale residuals subjective. addition, these lack reference distribution due to censoring. It therefore challenging derive numerical statistical tests based or residuals. this paper, we extend idea...
<title>Abstract</title> A new glucose-responsive polymer made from carbopol and 3-phenylboronic acid was developed with condensation reaction. The resulting possesses a pKa of 6.86 ± 0.38 at proper feedstock ratio 1:2 (<italic>w</italic>/<italic>w</italic>), which approached the physiological pH. hydrogel corresponding exhibited good features in response to changes glucose concentration solution pH value. were elevated owing addition ammoniated ZnO nanoparticles, be related structure...