A5101750240- Cancer-related molecular mechanisms research
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Semantic Web and Ontologies
- Biomedical Text Mining and Ontologies
- Service-Oriented Architecture and Web Services
- Text and Document Classification Technologies
- Effects of Environmental Stressors on Livestock
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Reproductive Physiology in Livestock
- Advanced Text Analysis Techniques
- Face and Expression Recognition
- scientometrics and bibliometrics research
- Emotion and Mood Recognition
- Advanced Manufacturing and Logistics Optimization
- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Machine Learning in Materials Science
- Evaluation and Optimization Models
- Biometric Identification and Security
- Logic, Reasoning, and Knowledge
- Metallurgy and Material Forming
- Advanced Clustering Algorithms Research
National Natural Science Foundation of China
2020-2024
Nanchang Institute of Technology
2011-2024
Xinjiang Academy of Animal Science
2021-2024
Affiliated Hospital of Zunyi Medical College
2023
Southeast University
2013-2016
China People's Public Security University
2013
HBIS (China)
2010
Abstract Background Genetic improvement of wool and growth traits is a major goal in the sheep industry, but their underlying genetic architecture remains elusive. To improve our understanding these mechanisms, we conducted weighted single-step genome-wide association study (WssGWAS) then integrated results with large-scale transcriptome data for five one trait Merino sheep: mean fibre diameter (MFD), coefficient variation (CVFD), crimp number (CN), staple length (MSL), greasy fleece weight...
Resolving incoherent terminologies is an important task in the maintenance of evolving OWL 2 DL ontologies. Existing approaches to this are either semi-automatic or based on simple deletion axioms. There a need fine-grained automatize task. Since approach should consider multiple choices for modifying axiom other than axioms only, primary challenges developing such lie both semantics repaired results and efficiency computing results. To tackle these challenges, we first introduce notion...
The epididymis is divided into three regions including the caput, corpus and cauda. Gene expression profiles in different indicate functions of which are crucial for sperm maturation. In this study, one-year-old rams was used as experimental animal. Transcriptome sequencing technology to sequence mRNA cauda epididymis. Based on spatiotemporal-specific pattern epididymis, parts were analysed. Region-specifically expressed genes analysed by GO KEGG analyses screen key involved sheep We...
Model-based approaches provide a semantically well justified way to revise ontologies. However, in general, model-based revision operators are limited due lack of efficient algorithms and inexpressibility the results. In this paper, we make both theoretical practical contribution computation revisions DL-Lite. Specifically, show that maximal approximations two well-known for DL-Lite_R can be computed using syntactic algorithm. such coincidence does not hold when role functionality axioms...
Blood is an important component for maintaining animal lives and synthesizing sugars, lipids, proteins in organs. Revealing the relationship between genes metabolite expression milk somatic cell count (SCC), fat percentage, protein lactose percentage blood helpful understanding molecular regulation mechanism of formation. Therefore, we separated buffy coat plasma from Xinjiang Brown cattle (XJBC) Chinese Simmental (CSC), which exhibit high low SCC/milk percentage/milk percentage/lactose...
Emotion distribution learning is an effective multi-emotion analysis model proposed in recent years. Its core idea to record the expression degree of examples on each emotion through distribution, which suitable for handling tasks with emotional ambiguity. To solve problem that prior knowledge psychology seldom considered existing methods, we propose Wheel Attention based Distribution Learning (EWA-EDL) model. EWA-EDL generates a describing relevance basic emotion, and then directly...
As an important research topic, text classification is often deeply studied by scholars. Convolutional neural network a commonly used deep learning algorithm for classification. However, CNN will lose some information features in the pooling process due to limitation of fixed-size convolution kernel when extracting from complex semantic information. In order avoid CNN's problems tasks, Capsule extract features. CapsNet model has problem redundant transmission. reduce information, capsule...
In the traditional Chinese-named entity recognition system, word-based sequence labeling model is affected by effect of word segmentation, which easy to cause boundary detection errors. Although character-based avoids error propagation segmentation it loses a lot lexical information because its can only learn original language signals at character level. This leads blurred and poor recognition. order solve problem that difficult demarcate boundaries entities, vocabulary enhancement proposed....
Abstract:
<p indent="0mm">In recent years, artificial intelligence has been successfully applied to synthetic chemistry in Europe and the United States. It is therefore urgent promote domestic development of “Artificial Chemist” by combining big data analysis, machine learning, adaptation robotics, other hardware so as achieve autonomous synthesis China. In this perspective, we briefly discuss challenges potential solutions for from four aspects.