A5100303058- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Image Enhancement Techniques
- Plant Virus Research Studies
- Robotics and Sensor-Based Localization
- Polymer composites and self-healing
- Plant Pathogenic Bacteria Studies
- Cocoa and Sweet Potato Agronomy
- Infrared Target Detection Methodologies
- Hematopoietic Stem Cell Transplantation
- Chromosomal and Genetic Variations
- Multiple Myeloma Research and Treatments
- Advanced Image Fusion Techniques
- Acute Myeloid Leukemia Research
- Immunotherapy and Immune Responses
- Advanced Image Processing Techniques
- Plant pathogens and resistance mechanisms
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Mesenchymal stem cell research
Qingdao University
2024
Shandong First Medical University
2022-2023
Liaocheng People's Hospital
2022-2023
Center for Research in Agricultural Genomics
2019
Melon production is often compromised by viral diseases, which cannot be treated with chemicals. Therefore, the use of genetic resistances main strategy for generating crops resistant to viruses. Resistance Cucumber mosaic virus (CMV) in melon scarcely described few accessions. Until recently, only known accessions were Freeman's and PI 161375, cultivar Songwhan Charmi (SC). CMV recessive generally oligogenic quantitative. However, SC, resistance strains subgroup II monogenic, depending on...
We investigated the effect of human serum albumin (HSA) on umbilical cord blood (UCB) CD34+ hematopoietic stem/progenitor cells (HSPCs) cultured in vitro and transplanted vivo.Human mononuclear were obtained by density gradient centrifugation. then sorted CD34 conjugated magnetic microbeads. The with or without HSA for 8 days vitro. After days, all harvested flow phenotyping colony formation cell (CFC) experiments. injected into immunodeficient mice (NOD/Shi-scid/IL2Rγnull, NOG) via...
The object detection model in UAV aerial image scenes faces challenges such as significant scale changes of certain objects and the presence complex backgrounds. This paper aims to address small images using NATCA (neighborhood attention Transformer coordinate attention) YOLO. Specifically, feature extraction network incorporates a neighborhood transformer (NAT) into last layer capture global context information extract diverse features. Additionally, fusion (Neck) (CA) module channel...
Abstract Deep‐learning methods, such as encoder–decoder networks, have achieved impressive results in image dehazing. However, these methods often rely only on synthesized data for training that limits their generalizability to hazy, real‐world images. To leverage prior knowledge of haze properties, we propose a bi‐encoder structure integrates prior‐based encoder into traditional network. The features from both encoders were fused using feature enhancement module. We adopted transformer...