A5101303309- CRISPR and Genetic Engineering
- Natural Language Processing Techniques
- Fungal Plant Pathogen Control
- Protein purification and stability
- Machine Learning in Bioinformatics
- Topic Modeling
- Plant-Microbe Interactions and Immunity
- Genomics and Phylogenetic Studies
- Microstructure and Mechanical Properties of Steels
- RNA and protein synthesis mechanisms
- Forest Ecology and Biodiversity Studies
- Machine Learning in Materials Science
- Cloud Computing and Resource Management
- Opinion Dynamics and Social Influence
- Plant biochemistry and biosynthesis
- Metallurgy and Material Forming
- Complex Network Analysis Techniques
- Complex Systems and Decision Making
- Liver physiology and pathology
- Banana Cultivation and Research
- Advanced biosensing and bioanalysis techniques
- Biomedical and Engineering Education
- Berry genetics and cultivation research
- Pluripotent Stem Cells Research
- Biomedical Ethics and Regulation
Institute of Zoology
2023-2024
Chinese Academy of Sciences
2023-2024
State Key Laboratory of Stem Cell and Reproductive Biology
2024
University of Chinese Academy of Sciences
2023-2024
Nanjing University of Posts and Telecommunications
2015-2023
Guangzhou University of Chinese Medicine
2022
Ansteel (China)
2022
Nanjing Agricultural University
2019-2020
Affiliated Zhongshan Hospital of Dalian University
2009
Superoxide dismutase (SOD) is an essential enzyme of the plant antioxidant system that responds to oxidative damage caused by adverse conditions. However, little known about SOD gene family in Vitis vinifera (Vv). In present study, ten genes, including 6 copper/zinc SODs, 2 iron and manganese were identified grapevine genome where they unevenly distributed on 12 chromosomes. Ten VvSOD genes divided into three main groups based phylogenetic analysis, subcellular localization, distribution...
Text-to-image (T2I) models have rapidly advanced, enabling the generation of high-quality images from text prompts across various domains. However, these present notable safety concerns, including risk generating harmful, biased, or private content. Current research on assessing T2I remains in its early stages. While some efforts been made to evaluate specific dimensions, many critical risks remain unexplored. To address this gap, we introduce T2ISafety, a benchmark that evaluates three key...
Protein solubility plays a crucial role in various biotechnological, industrial, and biomedical applications. With the reduction sequencing gene synthesis costs, adoption of high-throughput experimental screening coupled with tailored bioinformatic prediction has witnessed rapidly growing trend for development novel functional enzymes interest (EOI). High protein rates are essential this process accurate is challenging task. As deep learning technology continues to evolve, attention-based...
Abstract Protein solubility plays a crucial role in various biotechnological, industrial and biomedical applications. With the reduction sequencing gene synthesis costs, adoption of high-throughput experimental screening coupled with tailored bioinformatic prediction has witnessed rapidly growing trend for development novel functional enzymes interest (EOI). High protein rates are essential this process accurate is challenging task. As deep learning technology continues to evolve,...
Abstract Tandem repeat proteins (TRPs) are widely distributed and bind to a wide variety of ligands. DNA-binding TRPs such as zinc finger (ZNF) transcription activator-like effector (TALE) play important roles in biology biotechnology. In this study, we first conducted an extensive analysis public databases, found that the enormous diversity is largely unexplored. We then focused our efforts on identifying novel possessing capabilities. established protein language model for prediction...
Alternaria blotch, caused by alternata f. sp. mali, is a destructive defoliating disease that affects apple worldwide, especially in Asia. Despite previous efforts characterizing this disease, few have reported on nucleotide binding sites (NBS)-encoding genes response to pathogen infection. In study, we characterized the morphological and gene expression of 'Golden Delicious' 'Starking' apples challenged A. alternata. Inoculation detached leaves resulted rapid initiation symptoms but slow...
The study of community detection algorithms in complex networks has been very active the past several years. In this paper, a Hybrid Self-adaptive Community Detection Algorithm (HSCDA) based on modularity is put forward first. HSCDA, three different crossover and two mutation operators for are designed then combined to form strategy pool, which strategies will be selected probabilistically statistical self-adaptive learning framework. Then, by adopting best evolving Multiobjective (MCDA)...
In the rapidly evolving landscape of Large Language Models (LLMs), ensuring robust safety measures is paramount. To meet this crucial need, we propose \emph{SALAD-Bench}, a benchmark specifically designed for evaluating LLMs, attack, and defense methods. Distinguished by its breadth, SALAD-Bench transcends conventional benchmarks through large scale, rich diversity, intricate taxonomy spanning three levels, versatile functionalities.SALAD-Bench crafted with meticulous array questions, from...
Different pluripotent cell types have been established by capturing pluripotency in different states. Human extended stem cells (hEPSCs), recently two independent studies, the capability of differentiating into both embryonic and extraembryonic lineages, as well forming human blastoids, showing great potential for early development modeling regenerative medicine. Considering that X chromosome status female is dynamic heterogeneous, often leads to functional consequences, we characterized it...
In this paper, we release an open-source library, called TextBox, to provide a unified, modularized, and extensible text generation framework. TextBox aims support broad set of tasks models. our implement 21 models on 9 benchmark datasets, covering the categories VAE, GAN, pretrained language Meanwhile, library maintains sufficient modularity extensibility by properly decomposing model architecture, inference, learning process into highly reusable modules, which allows users easily...
In view of the continuous quality improvement network engineering education in context emerging engineering, we propose a talent evaluation method field based on deep reinforcement learning with time windows. Firstly, mathematical model is established, and then comprehensive index system built from four aspects: awareness, foundation, ability innovation. Secondly, window mode used to divide slots data source, results are solved through dynamic interaction between agent environment. Further,...
It is well known that double deformation method widely used to determine static recrystallization volume fraction. And fraction for many materials have ever been evaluated by the methods, as 0.2% offset, 2% back-extrapolation, 5% total strain, mean flow stress and area (strain energy) methods. These methods are based on characteristic or strain energy (CS). However, can exhibit different behaviors during hot working process, which results in a difficulty designate CS. Therefore, there some...