A5109547895- Analytical chemistry methods development
- Spectroscopy and Chemometric Analyses
- Music and Audio Processing
- Dye analysis and toxicity
- Speech and Audio Processing
- Animal Vocal Communication and Behavior
- Electrochemical sensors and biosensors
- Spectroscopy Techniques in Biomedical and Chemical Research
- Pesticide Residue Analysis and Safety
- Mass Spectrometry Techniques and Applications
- Pharmacological Effects and Assays
- Fault Detection and Control Systems
- Biochemical Analysis and Sensing Techniques
- Advanced Chemical Sensor Technologies
- Electrochemical Analysis and Applications
- Advanced Image Fusion Techniques
- Water Quality Monitoring and Analysis
- Image and Signal Denoising Methods
- Biosensors and Analytical Detection
- Bacillus and Francisella bacterial research
- Silk-based biomaterials and applications
- Medicinal Plants and Neuroprotection
- Autonomous Vehicle Technology and Safety
- Analytical Chemistry and Chromatography
- Medical Image Segmentation Techniques
Tianjin University of Commerce
2018-2025
Fujian Provincial Cancer Hospital
2020-2024
Fujian Medical University
2020-2024
University College London
2024
Ocean University of China
2023
Inner Mongolia Agricultural University
2022-2023
Sichuan Academy of Agricultural Sciences
2022
Hainan University
2021
Fuzhou University
2012-2020
China Agricultural University
2009-2017
Abstract Chronic kidney disease (CKD) is one of the most serious non‐communicable diseases affecting population. In early‐stages patients have no obvious symptoms, until it becomes life‐threatening leading end‐stage failure. Therefore, important to early diagnose CKD allow therapeutic interventions and progression monitoring. Here, a point‐of‐care (POC) sensing platform reported for simultaneous detection three biomarkers, namely creatinine, urea, human serum albumin (HSA), using reduced...
Intelligent vehicles use advanced driver assistance systems (ADASs) to mitigate driving risks. There is increasing demand for an ADAS framework that can increase safety by detecting dangerous behavior from driver, vehicle, and lane attributes. However, because in real-world scenarios be caused any or a combination of attributes, the detection using conventional approaches focus on only one type attribute may not sufficient improve realistic situations. To facilitate improvements, concept...
Impulse noise corruption in digital images frequently occurs because of errors generated by noisy sensors or communication channels, such as faulty memory locations devices, malfunctioning pixels within a camera, bit transmission. Although recently developed big data streaming enhances the viability video communication, visual distortions caused impulse can negatively affect applications. In addition, sparsity, density, and multimodality large volumes have often been ignored recent studies,...
Abstract Antibacterial nanofibers have been widely used in the fields of biomedicine and food packaging fields. To overcome existing antibiotic resistance, this study utilized isobavachalcone (IBC), a natural compound with antibacterial antioxidant properties, combined polycaprolactone (PCL) gelatin (GEL) to develop an electrospun nanofibrous membrane. Scanning electron microscopy (SEM) analysis revealed uniform smooth surface structure nanofiber. Fourier transform infrared spectroscopy...
Radiotherapy has been widely used for nasopharyngeal carcinoma (NPC) treatment, which causes DNA damage and alterations of macromolecules cancer cells. However, the Raman profile irradiated NPC cells remain unclear. In present study, we laser tweezers spectroscopy (LTRS) to monitor internal structural changes chemical modifications in after exposure at a clinical dose (2.3 Gy) X-ray irradiation (IR) single-cell level. Two types cell lines, CNE2 (EBV-negative line) C666-1 (EBV-positive line),...
Wood density is a key indicator for tree functionality and end utilization. Appropriate chemometric methods play an important role in the successful prediction of wood by visible near infrared (Vis-NIR) spectroscopy. The objective this study was to select appropriate pre-processing, variable selection multivariate calibration techniques improve accuracy Chinese white poplar (Populus tomentosa carriere) wood. Vis-NIR spectra were de-noised using four (lifting wavelet transform, LWT; WT;...
The coadsorption of mixed anionic–nonionic surfactants, sodium dodecylbenzenesulfonate with Triton X‐100, on the surface eggshell membrane was investigated based adsorption isotherms to improve solid‐phase extraction performance toward organic contaminants. Results showed that even though excess X‐100 might inhibit dodecylbenzenesulfonate, a low dosage can significantly modification and enhance efficiency from 73.7 100.4% because formation hemimicelles. highest recovery achieved at 2:8...
This paper presents a new approach for identifying birds automatically from their sounds, which first converts the bird songs into spectrograms and then extracts texture features this visual time-frequency representation. The is inspired by finding that of different present distinct textures can be easily distinguished one another. In particular, we perform local feature extraction segmenting series syllables, has been proved to quite effective due high variability found in vocalizations....
Few studies have been carried out on the discrimination of precious<italic>Tetrastigma hemsleyanum</italic>, also known as Sanyeqing in China.
Hybrid nanomaterial based on magnetic multiwalled carbon nanotube-octadecylphosphonic acid modified zirconia for extraction of polycyclic aromatic hydrocarbons from edible oils.
Traditional approaches to environmental sounds recognition used acoustic features merely based on time domain or frequency domain. In this paper, a new feature descriptor that uses image texture information is proposed identify specific the of fixed-duration segments where their corresponding spectrums are viewed as gray-level images. The system firstly conducts short-time spectrum estimation algorithm noisy segments, and then extracts 5 time-frequency descriptors(TFD) from enhanced using...
This paper proposes a new robust environmental sounds recognition technology based on APNCC to improve the accuracy of in real noisy conditions. First, highly non-stationary noise estimation algorithm is applied for power spectrum estimation. Second, achieve reduction with less residual colored noise, we present multi-band spectral subtraction. Then, process PNCC extraction combined estimated clean extract APNCC. Finally, using 70 subclasses 4 classes sounds, comparison experiments different...
Impulse noise corruption in digital images frequently occurs because of errors generated noisy sensors or communication channels, such as faulty memory locations devices, malfunctioning pixels within the camera, and bit transmission. Although recently developed big data streaming enhances viability video communication, visual distortions that are caused by impulse can negatively affect applications. This paper develops a novel model uses devised cost function through semisupervised learning...
Combination of metolazone (0.5 mg) and valsartan (80 has been verified as a promising therapy treatment for hypertension. In order to facilitate pharmacokinetic research, it needs method the simultaneously determination in biological samples. However, there are no relative reports so far. an on-line solid phase extraction coupled with liquid chromatography-tandem mass spectrometry simultaneous beagle dog plasma was developed validated this study. An column Retain PEP Javelin (10 mm × 2.1 mm)...
Most current multi modalities medical image registration approaches are concerned about registering one modality to another. However, in the real world, may be involved multiple modes, not just two specific modalities. To this end, we propose a multi-contrast modal (Star-Reg net). It uses single generator and discriminator for all contrasts of registrations amount several Furthermore, proposed approach is trained an unsupervised way, which alleviates requirement manual annotation data. The...
Background: Plasma Epstein–Barr virus (EBV) DNA has been identified as a significant prognostic marker for nasopharyngeal carcinoma (NPC), yet there is limited research on the prognosis of NPC patients with negative EBV DNA. Objectives: We explore value comprehensive immune-inflammatory and nutritional indicators to offer personalized treatment recommendations predictions non-metastatic Design: This was retrospective study. Methods: study retrospectively analyzed 257 between January 2015...
Support Vector Machine (SVM) is a new learning technique based on Statistical Learning Theory (SLT). In this paper, Medical Diagnosis Decision System (MDDSS) SVM has been established to intellectively diagnose 4 types of acid-base disturbance. was originally developed for two-class classification. It extended solve multi-class classification problem named hierarchical with clustering algorithm stepwise decomposition. Compared other classical techniques, not only more solid theoretical...