A5102737672- Advanced Image Processing Techniques
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Tropical and Extratropical Cyclones Research
- Urban and Freight Transport Logistics
- Generative Adversarial Networks and Image Synthesis
- Image and Signal Denoising Methods
- Advanced SAR Imaging Techniques
- Caveolin-1 and cellular processes
- Medical Research and Treatments
- Technology and Security Systems
- Asthma and respiratory diseases
- Climate variability and models
- Salivary Gland Disorders and Functions
- Acupuncture Treatment Research Studies
- Sustainability and Ecological Systems Analysis
- Chemokine receptors and signaling
- Soil and Unsaturated Flow
- SARS-CoV-2 detection and testing
- Long-Term Effects of COVID-19
- SARS-CoV-2 and COVID-19 Research
- Stock Market Forecasting Methods
- Disaster Response and Management
- Curcumin's Biomedical Applications
- Digital Media Forensic Detection
- Ocular Surface and Contact Lens
Henan Agricultural University
2024
University of Electronic Science and Technology of China
2024
National University of Defense Technology
2023
Macau University of Science and Technology
2023
Anhui Medical University
2022
Yueyang Hospital
2018-2022
Shanghai University of Traditional Chinese Medicine
2018-2022
China Agricultural University
2022
Huawei Technologies (China)
2022
Weihai Chest Hospital
2018
In the past years, learned image compression (LIC) has achieved remarkable performance. The recent LIC methods outperform VVC in both PSNR and MS-SSIM. However, low bit-rate reconstructions of suffer from artifacts such as blurring, color drifting texture missing. Moreover, those varied make quality metrics correlate badly with human perceptual quality. this paper, we propose PO-ELIC, i.e., Perception-Oriented Efficient Learned Image Coding. To be specific, adapt ELIC, one state-of-the-art...
An epidemic of the Omicron variant severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) began in March 2022, and over 600,000 cases were confirmed until early May 2022 Shanghai, China. Data on infections are available other countries, but clinical features patients Chinese population, especially still lacking. We collected data from a subset asymptomatic mildly ill to learn about age sex disparity infection based changes cycle threshold values.The basic information 325 who...
Studying the spatiotemporal evolution characteristics of coupling coordination land–ecology–food system (LEF) aids in promoting green agricultural development and regional resource management. This study enriches food indicators under dietary structure uses degree model to analyze relationship among LEF 18 cities Henan Province from 2011 2020. The gray relational is used investigate main influencing factors determining synergistic system. results show that comprehensive index ranges between...
Studies have shown that eosinophils are closely related to pathogenesis of bronchial asthma. Eosinophils release eosinophil cationic protein (ECP), which plays an important role in infection and allergic reactions. Serum ECP mRNA expression children with asthma has not been adequately investigated. We analyzed serum 63 21 healthy by using reverse-transcriptase polymerase chain reaction understand the The were segregated into acute-phase stable-phase groups, based on severity illness. (0.375...
Tropical cyclones (TCs) are dangerous weather events; accurate monitoring and forecasting can provide significant early warning to reduce loss of life property. However, the study tropical cyclone intensity remains challenging, both in terms theory forecasting. ERA5 reanalysis is a benchmark data set for studies, yet maximum wind speed error very large (68 kts) still 19 kts after simple linear correction, even better sampled North Atlantic. Here, we develop an adaptive learning approach...
Tropical cyclones (TC) are dangerous weather events and accurate monitoring forecasting can provide significant early warning to reduce loss of life property. However, the study tropical cyclone intensity remains challenging, both in terms theory forecasting. ERA5 reanalysis is benchmark data set for studies, yet maximum wind speed error very large (68 kts) still 19 kts after simple linear correction even better sampled North Atlantic. Here, we develop an adaptive learning approach correct...
With the rapid development of modern information technology, various advanced logistics distribution models and strategies have been proposed. All related stake holders paid much attention to city express delivery. Achieving ideal supply demand matching resources is one important goals in smart cities. A dynamic network model based on Artificial Hummingbird Algorithm (AHA) proposed this paper. Dynamic Partition Network (DPN) can effectively divide a area such that total consumption...
Objective To investigate the changes of plasma phospholipids (PLs) levels, high-sensitivity C-reactive protein (hs-CRP) and fibrinogen (Fbg) in patients with acute exacerbation chronic obstructive pulmonary disease (AECOPD). Methods A total 65 AECOPD, 60 cases healthy volunteers as control were enrolled into study. The PLs, hs-CRP levels determined, peripheral blood samples obtained during after recovery. Plasma PLs was assayed by measuring its inorganic phosphorus separation...
Objective To investigate the correlation of high mobility group protein B1 (HMGB1),interleukin 8 (IL-8) and BODE in patients with chronic obstructive pulmonary disease (COPD) stabilization period.Methods Sixty period were enrolled into observation group,while 30 healthy people control group.HMGB1 IL-8 serum detected both groups.BODE analyzed.Results HMGB1 higher than those group(P ＜0.01).BODE index for was 5.1 ± 1.3,while had a positive relation HMGB1(r=0.726,P＜0.05)...
Chronic obstructive pulmonary disease (COPD), characterized by long-term breathing problem and poor airflow, is the fourth cause of death in United States. Although previous studies have provided insights into effects genetic factors on COPD, molecular mechanism still unknown. Here, we proposed a network pathway-based method for prioritization analysis COPD-related genes. In brief, firstly obtained single nucleotide polymorphisms (SNPs) from dbGaP COPD as well normal lung tissues gene...
JPEG is a popular image compression method widely used by individuals, data center, cloud storage and network filesystems. However, most recent progress on mainly focuses uncompressed images while ignoring trillions of already-existing images. To compress these adequately restore them back to format losslessly when needed, we propose deep learning based recompression that operates DCT domain Multi-Level Cross-Channel Entropy Model the informative Y component. Experiments show our achieves...
In the past years, learned image compression (LIC) has achieved remarkable performance. The recent LIC methods outperform VVC in both PSNR and MS-SSIM. However, low bit-rate reconstructions of suffer from artifacts such as blurring, color drifting texture missing. Moreover, those varied make quality metrics correlate badly with human perceptual quality. this paper, we propose PO-ELIC, i.e., Perception-Oriented Efficient Learned Image Coding. To be specific, adapt ELIC, one state-of-the-art...
Abstract Primary Sjogren's syndrome (pSS) is a systemic autoimmune disease that causes dysfunction of secretory glands and the specific pathogenesis still unknown. The CXCL9, 10, 11/CXCR3 axis G protein-coupled receptor kinase 2 (GRK2) involved in many inflammation immunity processes. We used NOD/Ltj mice, spontaneous SS animal model, to elucidate pathological mechanism promoting T lymphocyte migration by activating GRK2 pSS. found CD4+GRK2, Th17+CXCR3 was apparently increased Treg+CXCR3...