A5010827282- Salmonella and Campylobacter epidemiology
- Listeria monocytogenes in Food Safety
- Biosensors and Analytical Detection
- Genomics and Phylogenetic Studies
- Prion Diseases and Protein Misfolding
- Vibrio bacteria research studies
- Remote Sensing and LiDAR Applications
- Bacteriophages and microbial interactions
- Viral gastroenteritis research and epidemiology
- Identification and Quantification in Food
- Hydrology and Watershed Management Studies
- Trace Elements in Health
- Antibiotic Resistance in Bacteria
- Climate variability and models
- Extraction and Separation Processes
- Forest ecology and management
- Microbial Inactivation Methods
- Hydrology and Drought Analysis
- Computer Graphics and Visualization Techniques
- Enterobacteriaceae and Cronobacter Research
- Metallurgy and Material Science
- Advanced biosensing and bioanalysis techniques
- Microbial Community Ecology and Physiology
- Land Use and Ecosystem Services
- Hand Gesture Recognition Systems
Jiangxi Agricultural University
2010-2025
Shenzhen University
2023-2025
Northwest Institute of Mechanical and Electrical Engineering
2025
Foshan Maternity and Child Health Care Hospital
2025
Canadian Food Inspection Agency
2015-2024
Guizhou Institute of Technology
2021-2024
Shanghai Electric (China)
2023
Ministry of Natural Resources
2023
State Grid Corporation of China (China)
2023
Chongqing University
2022
Accurate individual tree reconstruction based on laser point clouds is vital for precise biomass estimation, virtual geographic environment modeling, and simulation. However, mobile 3D scanning systems often capture obscured by leaves, resulting in missing or incomplete branch data, posing significant challenges to detailed reconstruction. In this paper, a novel method fine-grained model from proposed. This approach addresses the structural of trees, tackling two main problems:...
Non-typhoidal Salmonella is a leading cause of foodborne illness worldwide. Prompt and accurate identification the sources responsible for disease outbreaks crucial to minimise infections eliminate ongoing contamination. Current subtyping tools including single nucleotide polymorphism (SNP) typing may be inadequate, in some instances, provide required discrimination among epidemiologically unrelated strains. Prophage genes represent majority accessory bacteria genomes have potential used as...
Analyzing and understanding hand information from multimedia materials like images or videos is important for many real world applications remains active in research community. There are various works focusing on recovering single image, however, they usually solve a task, example, mask segmentation, 2D/3D pose estimation, mesh reconstruction perform not well challenging scenarios. To further improve the performance of these tasks, we propose novel Hand Image Understanding (HIU) framework to...
Vegetation is a fundamental component of terrestrial ecosystems, and accurately assessing the effects seasonal climate variations, extreme weather events, land use changes on vegetation dynamics crucial. The Ganjiang River Basin (GRB), key region for water conservation recharge in southeastern China, has experienced significant variable past. However, comprehensive evaluations how these have impacted remain limited. To address this gap, we used machine learning models (random forest XGBoost)...
ABSTRACT Traditional localization methods based on sensors such as Bluetooth and Wi‐Fi struggle to achieve the required accuracy for fine‐grained applications like AR navigation or robot localization. Accurate global position estimation seamless in dynamic indoor environments can significantly enhance intelligence of scene applications. This paper proposes an as‐built BIM‐based using End‐to‐End visual ARCore. First, pre‐captured RGB image sequences, a sparse point cloud space be constructed...
The surface roughness, hardness, tensile properties and friction-wear were characterized, in comparison with those of the traditional turned cutting, electropulsing treatment (EP) ultrasonic surface-rolling process (USRP) sample. microstructure was obviously refined after USRP EP-USRP, a fine-grain depth 60 μm 100 μm, respectively. roughness significantly decreases at first, then gradually increases surface-strengthening modification. lowest 0.035 0.040 is obtained for EP-USRP samples,...
In Earth sciences, unobserved factors exhibit non-stationary spatial distributions, causing the relationships between features and targets to display heterogeneity. geographic machine learning tasks, conventional statistical methods often struggle capture heterogeneity, leading unsatisfactory prediction accuracy unreliable interpretability. While approaches like Geographically Weighted Regression (GWR) local variations, they fall short of uncovering global patterns tracking continuous...
ABSTRACT During host colonization, Campylobacter jejuni is exposed to harmful reactive oxygen species (ROS) produced from the immune system and gut microbiota. Consequently, identification characterization of oxidative stress defenses are important for understanding how C. survives ROS during colonization gastrointestinal tract. Previous transcriptomic studies have defined genes belonging oxidant stimulons within . We constructed isogenic deletion mutants these identified assess their role...
The Salmonella Syst-OMICS consortium is sequencing 4,500 genomes and building an analysis pipeline for the study of genome evolution, antibiotic resistance virulence genes. Metadata, including phenotypic as well genomic data, isolates collection are provided through Foodborne database (SalFoS), at https://salfos.ibis.ulaval.ca/. Here, we present our strategy first 3,377 genomes. Our data will be used to draw potential links between strains found in fresh produce, humans, animals environment....
This paper presents a novel fully automated approach for generating structured 3D synthetic tree models, addressing the limitations of existing datasets used in applications like digital twin construction, carbon stock calculation, and environmental assessments. The method allows creation large-scale dataset containing 13,000 models ten common species, each featuring detailed point cloud with hierarchical structures, precise parameters, separate branch leaf information. includes both...
Many studies have identified the influences of PM2.5. However, very little research has addressed spatiotemporal dependence and heterogeneity in relationships between impact factors This study firstly utilizes spatial statistics time series analysis to investigate temporal PM2.5 at city level China using a three-year (2015–2017) dataset. Then, new local regression model, multiscale geographically weighted (MGWR), is introduced, based on which we measure influence A lag constructed included...
The use of treated municipal wastewater residues (biosolids) as fertilizers is an attractive, inexpensive option for growers and farmers. Various regulatory bodies typically employ indicator organisms (fecal coliforms, E. coli Salmonella) to assess the adequacy efficiency treatment process in reducing pathogen loads final product. Molecular detection approaches can offer some advantages over culture-based methods they simultaneously detect a wider microbial species range, including...
Despite offshore aquaculture brings great economic benefits, it also has destructive effects on the ecological environment of coastal regions. Therefore, accurate monitoring areas is vital. Existing methods for extracting ponds are still limited by lack high-resolution hyperspectral imagery and inadequate feature extraction. In this paper, we proposed an unsupervised extraction method based super-resolution, fusion stepwise strategy. First, resolution original enhanced via a deep...