A5061911987- Bioenergy crop production and management
- Plant Molecular Biology Research
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Visual Attention and Saliency Detection
- Fiscal Policy and Economic Growth
- Genomics and Phylogenetic Studies
- Remote Sensing and LiDAR Applications
- Cancer, Lipids, and Metabolism
- Smart Agriculture and AI
- Hate Speech and Cyberbullying Detection
- Robotic Path Planning Algorithms
- Plant Gene Expression Analysis
- AI in cancer detection
- Fatty Acid Research and Health
- Kruppel-like factors research
- Metallurgy and Material Forming
- Metabolomics and Mass Spectrometry Studies
- Aldose Reductase and Taurine
- Lower Extremity Biomechanics and Pathologies
- Leaf Properties and Growth Measurement
- Climate change and permafrost
- Hand Gesture Recognition Systems
- Histone Deacetylase Inhibitors Research
ShenZhen People’s Hospital
2023-2024
Oregon State University
2020-2024
Beijing Information Science & Technology University
2024
Tianjin University of Science and Technology
2024
Tongji University
2023
Wuhan University
2023
University of South China
2023
Qingdao University of Science and Technology
2022
Minzu University of China
2018
Xidian University
2016
Abstract Plant regeneration is an important dimension of plant propagation and a key step in the production transgenic plants. However, capacity varies widely among genotypes species, molecular basis which largely unknown. Association mapping methods such as genome-wide association studies (GWAS) have long demonstrated abilities to help uncover genetic trait variation plants; however, performance these depends on accuracy scale phenotyping. To enable large-scale GWAS planta callus shoot...
Adventitious rooting (AR) is critical to the propagation, breeding, and genetic engineering of trees. The capacity for plants undergo this process highly heritable a polygenic nature; however, basis its variation largely uncharacterized. To identify regulators AR, we performed genome-wide association study (GWAS) using 1148 genotypes Populus trichocarpa. GWASs are often limited by abilities researchers collect precise phenotype data on high-throughput scale; help overcome limitation,...
Wide variation in amenability to transformation and regeneration (TR) among many plant species genotypes presents a challenge the use of genetic engineering research breeding. To help understand causes this variation, we performed association mapping network analysis using population 1204 wild trees Populus trichocarpa (black cottonwood). enable precise high-throughput phenotyping callus shoot TR, developed computer vision system that cross-referenced complementary red, green, blue (RGB)...
A synthetic aperture radar (SAR) imaging system usually produces pairs of bright area and dark when depicting the ground objects, such as a building or tree its shadow. Many buildings (trees) are aggregated together to form urban areas (forests). It means that often exist in scenes. Conventional unsupervised segmentation approaches segment scenes (e.g., forests) into different regions simply according gray values image. However, more convincing way is regard them consistent regions. In this...
Airborne light detection and ranging (LiDAR) technology has been widely utilized for collecting three-dimensional (3D) point cloud data on forest scenes, enabling the generation of high-accuracy digital elevation models (DEMs) efficient investigation management resources. Point filtering serves as crucial initial step in DEM generation, directly influencing accuracy resulting DEM. However, presents challenges dealing with sparse clouds selecting appropriate ground points. The introduction...
There is a rapidly growing need for multimodal content moderation (CM) as more and on social media in nature. Existing unimodal CM systems may fail to catch harmful that crosses modalities (e.g., memes or videos), which lead severe consequences. In this paper, we present novel model, Asymmetric Mixed-Modal Moderation (AM3), target tasks. Specifically, address the asymmetry semantics between vision language, AM3 has asymmetric fusion architecture designed not only fuse common knowledge both...
The abilities of plant biologists and breeders to characterize the genetic basis physiological traits are limited by their obtain quantitative data representing precise details trait variation, particularly collect this at a high-throughput scale with low cost. Although deep learning methods have demonstrated unprecedented potential automate phenotyping, these commonly rely on large training sets that can be time-consuming generate. Intelligent algorithms therefore been proposed enhance...
<i>Aims:</i> We investigated whether taurine indirectly protects neurons under hypoxia by affecting retinal Müller cells, which are known to play important roles in the regulation of glutamate content. <i>Methods:</i> Retinal cells isolated from rats were exposed for 24 h. evaluated neuron survival, content cultures with and without hypoxic conditions. The clearance function correlated expression glutamine synthetase (GS) mRNA...
Global climate change has caused the changes of ecological environment in Arctic region, including sea ice melting, runoff increase, glacial lake expansion, and a typical meltwater area formed coastal area. In this study, areas near six different characteristic Ny-Ålesund 2018 were taken as research objects, high-throughput sequencing V3-V4 regions all samples performed using 16S rDNA. Among soil Ny-Ålesund, Arctic, reservoir bay had highest bacterial abundance, sand lowest one. The dominant...
Unsupervised Video Object Segmentation (UVOS) aims at discovering objects and tracking them through videos. For accurate UVOS, we observe if one can locate precise segment proposals on key frames, subsequent processes are much simpler. Hence, propose to reason about frame using a graph built with the object probability masks initially generated from multiple frames around then propagated frame. On this graph, compute maximal cliques, each clique representing candidate object. By making in...
Lysine-specific demethylase 1 (LSD1) inhibitors are being developed for cancer therapy, but their bioeffects on vasculatures not clear. In this study, we compared the influences of ORY-1001 (an LSD1 inhibitor advanced into clinical trials) and 199 (a novel recently by us) to human umbilical vein endothelial cells (HUVECs) in vitro further verified zebrafish (Danio rerio) larvae vivo. The results showed that up 10 μM or did significantly affect cellular viability HUVECs substantially reduced...
Early asymmetry (AS) and architectural distortion (AD) detection on mammograms are essential in breast cancer diagnosis. However, they challenging as the prevalence of AS AD is very low. This paper proposes an efficient AsyDisNet for detection. First, a novel angle-based quadruplet loss proposed to detect with limited pixel-level labeled mammograms. Second, we scale semi-weakly supervised learning framework boost performance large number image-level labels extracted from medical reports. The...
The detection of masses on mammogram represents one the earliest signs a malignant breast cancer. However, may be hard to detect due dense tissue, leading false negative results. In this study, we aimed explore clinical application convolutional neural network (CNN)-based deep learning (DL) system constructed in our previous work as an objective and accurate tool for cancer screening diagnosis Asian women.This retrospective analysis included 324 patients with detected mammograms at Shenzhen...
Policy pilots have been instrumental in governing China's economic and social development. Prior research has primarily concentrated on examining the types of policy their promotion strategies through lens central-local dynamics, analysing organizational models within specific contexts. However, there's a gap understandinghow central government employs instruments to foster learning pilots. In complex pilots, there is often uncertainty regarding objectives, pathways, outcomes. Using...
Abstract Plant regeneration is an important dimension of plant propagation, and a key step in the production transgenic plants. However, capacity varies widely among genotypes species, molecular basis which largely unknown. While association mapping methods such as genome-wide studies (GWAS) have long demonstrated abilities to help uncover genetic trait variation plants, power these relies on accuracy scale phenotypic data used. To enable largescale GWAS planta model tree Populus , we...
Abstract Adventitious rooting is critical to the propagation, breeding, and genetic engineering or editing of trees. The capacity for plants undergo these processes highly heritable; however, basis its variation largely uncharacterized. To identify regulators processes, we performed a genome-wide association study (GWAS) using 1,148 genotypes Populus trichocarpa . GWAS are often limited by abilities researchers collect precise phenotype data on high-throughput scale; help overcome this...
Instance Segmentation, which seeks to obtain both class and instance labels for each pixel in the input image, is a challenging task computer vision. State-of-the-art algorithms often employ two separate stages, first one generating object proposals second recognizing refining boundaries. Further, are usually based on detectors such as faster R-CNN search boxes entire image exhaustively. In this paper, we propose novel algorithm that directly utilizes fully convolutional network (FCN)...
OBJECTIVE To study the effects of different dietary fatty acid on expression nuclear receptor genes in breast cancer rats. METHODS Fifty-day-old female Sprague-Dawley rats were fed eight diets containing following acids: saturated (SFA); monounsaturated (MUFA); n-6 polyunsaturated (PUFA); n-3 PUFA; 1:1 n-6/n-3; 5:1 10:1 1:2:1 S/M/P (n-6/n-3 at 1:1). The given a single intraperitoneal injection methyl-nitrosourea (MNU) 50 mg/kg body weight to establish rat model mammary carcinogenesis,...
There is a rapidly growing need for multimodal content moderation (CM) as more and on social media in nature. Existing unimodal CM systems may fail to catch harmful that crosses modalities (e.g., memes or videos), which lead severe consequences. In this paper, we present novel model, Asymmetric Mixed-Modal Moderation (AM3), target tasks. Specifically, address the asymmetry semantics between vision language, AM3 has asymmetric fusion architecture designed not only fuse common knowledge both...