A5103272012- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Cancer-related molecular mechanisms research
- Genetic and phenotypic traits in livestock
- Multimodal Machine Learning Applications
- Animal Nutrition and Physiology
- Genetic Mapping and Diversity in Plants and Animals
- Educational Technology and Assessment
- Peroxisome Proliferator-Activated Receptors
- Gut microbiota and health
- Face recognition and analysis
- Adipose Tissue and Metabolism
- Water Quality Monitoring and Analysis
- Simulation and Modeling Applications
- Digital Media and Visual Art
- Bayesian Methods and Mixture Models
- Statistical Methods and Inference
- Big Data Technologies and Applications
- Adipokines, Inflammation, and Metabolic Diseases
- Hydrological Forecasting Using AI
- Chromosomal and Genetic Variations
- Innovative Human-Technology Interaction
- Digital Marketing and Social Media
- Digital Mental Health Interventions
Lanzhou University of Finance and Economics
2023
Universiti Sains Malaysia
2022-2023
National Animal Husbandry Service
2017-2019
The University of Queensland
2005-2016
China Agricultural University
2012-2013
Data61
2009-2011
Shaoguan University
2004-2005
Pork quality is an economically important trait and one of the main selection criteria for breeding in swine industry.In this genome-wide association study (GWAS), 455 pigs from a porcine Large White × Minzhu intercross population were genotyped using Illumina PorcineSNP60K Beadchip, phenotyped intramuscular fat content (IMF), marbling, moisture, color L*, a*, b* score longissimus muscle (LM).Association tests between each SNPs performed via Genome Wide Rapid Association Mixed Model...
Feed efficiency appears to vary even within closely related pigs, and may be partly affected by the diversity in composition function of gut microbes. To investigate components functional differences microbiota low high feed (FE) throughput sequencing de novo metagenomics were performed on pig cecal contents. Pigs selected pairs with conversion ratio. The microorganisms individuals different clustered according diversity. genus Prevotella was most enriched both groups, abundance species sp....
Abstract Fatness traits are important in pigs because of their implications for fattening efficiency, meat quality, reproductive performance and immunity. Songliao black Landrace show differences production quality traits, including fatness muscle growth. Therefore, we used a high-throughput massively parallel RNA-seq approach to identify genes differentially expressed backfat tissue between these two breeds (six each). An average 37.87 million reads were obtained from the 12 samples. After...
The goal of this study was to evaluate the microbial communities in gut and feces from female finishing Landrace pigs with high low feed conversion ratio (FCR) by 16S rRNA gene amplicon sequencing. Many potential biomarkers can distinguish between FCR groups duodenum, ileum, cecum, colon, rectum, according linear discriminant analysis effect sizes. relative abundance microbes were tested Mann–Whitney test different organs: Campylobacter, Prevotella Sphaerochaeta duodenum (P < 0.05);...
Hematological traits, which are important indicators of immune function in animals, have been commonly examined as biomarkers disease and severity humans animals.Genome-wide significant quantitative trait loci (QTLs) provide information for use breeding programs animals such pigs.QTLs hematological parameters (hematological traits) detected pig chromosomes, although these often mapped by linkage analysis to large intervals making identification the underlying mutation problematic.Single...
Along with increasingly serious water pollution, environmental problems have become major factors that hinder the sustainable development of our economy and society. Reliable evaluation quality accurate prediction pollution indicators are key links in resource management control. In this paper, data Lanzhou Xincheng Bridge section Yellow River Basin Sichuan Panzhihua Longdong Yangtze were used to establish a model model. For model, we constructed research samples by means equal intervals...
Fat deposition is very important in pig production, and its mechanism not clearly understood. MicroRNAs (miRNAs) play critical roles fat energy metabolism. In the current study, we investigated mRNA miRNA transcriptome livers of Landrace pigs with extreme backfat thickness to explore miRNA-mRNA regulatory networks related lipid A comparative analysis liver transcriptomes from (four per group) was performed. We identified differentially expressed genes RNA-seq data using a Cufflinks pipeline....
The feed conversion ratio (FCR) is an essential economic trait for pig production, and directly related to efficiency. Studies identifying the differential expression of functional genes involved in biological molecular mechanisms intestine relation growth performance are rare. In this study, RNA-Seq was used identify transcriptomes caecal colonic mucosal tissues order determine from two full-sibling pairs half-sibling Landrace finishing pigs with opposing FCR phenotypes. total, 138...
Copy number variations (CNVs) are one of the main contributors to genetic diversity in animals and broadly distributed genomes swine. Investigating performance evolutionary impacts pig CNVs requires comprehensive knowledge their structure function within between breeds. In current study, 4 different programs (i.e., GADA, PennCNV, QuantiSNP, cnvPartition) were used analyze Porcine SNP60 genotyping data 585 pigs from Large White × Minzhu intercross population detect copy variant regions...
Fat deposition in pigs, which significantly contributes to meat quality, fattening efficiency, reproductive performance, and immunity, is critically affected by preadipocyte adipogenic differentiation. We elucidated adipogenesis pigs using transcriptome analysis. Preadipocytes from subcutaneous adipose tissue (SAT) of Landrace piglets were differentiated into adipocytes vitro. RNA sequencing (RNA-seq) used screen differentially expressed genes (DEGs) during differentiation up day 8 revealed...
Electronic sports show significant user churn caused by a toxic gaming atmosphere, and current GUI-based interventions are insufficient to address the issue. Based on theoretical framework of Perceiving Experiencing Fictional Characters, new hybrid interaction interface paradigm combined with tangibles is proposed counter negative mood. To support frustrated users Massive Online Battle Arena (MOBA) games, we added AI teammates for better personal performance social robots disclosure We...
A Bayesian semiparametric model framework is proposed to analyze multivariate longitudinal data. The new leads simple explicit posterior distributions of parameters. It results in easy implementation the MCMC algorithm for estimation parameters and demonstrates fast convergence. associated with validated by four covariance structures a real-life dataset. Monte Carlo study under an analysis real dataset show that its inferential method through perform fairly well sense implementation,...
In this paper, we extend the nearest convex hull classifier to Symmetric Positive Definite (SPD) manifolds. SPD manifold features have been shown excellent performance in various image/video classification tasks. Unfortunately, manifolds naturally possess non-Euclidean geometry, so existing Euclidean machineries such as cannot be used directly. To that end, propose a novel mathematical framework, named Manifold Convex Hull (MACH), extends Manifolds. The superior of our framework on is...
Many automatic attribute discovery methods have been developed to extract a set of visual attributes from images for various tasks. However, despite good performance in some image classification tasks, it is difficult evaluate whether these discover meaningful and which one the best find descriptions. An intuitive way this manually verify consistent identifiable concepts exist distinguish between positive negative an attribute. This manual checking tedious, labor intensive expensive very...
Automatic attribute discovery methods have gained in popularity to extract sets of visual attributes from images or videos for various tasks. Despite their good performance some classification tasks, it is difficult evaluate whether the discovered by these are meaningful and which most appropriate discover descriptions. In its simplest form, such an evaluation can be performed manually verifying there any consistent identifiable concept distinguishing between positive negative exemplars...