A5052202989- Remote-Sensing Image Classification
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Target Tracking and Data Fusion in Sensor Networks
- COVID-19 Impact on Reproduction
- Clusterin in disease pathology
- Mobile Health and mHealth Applications
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Advanced Chemical Sensor Technologies
- Colorectal Cancer Surgical Treatments
- Chronic Obstructive Pulmonary Disease (COPD) Research
- COVID-19 and healthcare impacts
- Pancreatic and Hepatic Oncology Research
- GNSS positioning and interference
- Surgical site infection prevention
- Date Palm Research Studies
- Inertial Sensor and Navigation
- Advanced Image Fusion Techniques
- Respiratory Support and Mechanisms
- RNA modifications and cancer
- Pancreatitis Pathology and Treatment
- Cancer-related gene regulation
- Smart Agriculture and AI
Second Affiliated Hospital of Dalian Medical University
2024-2025
National University of Singapore
2022-2024
Huazhong University of Science and Technology
2024
Dalian Medical University
2024
Hebei University of Science and Technology
2023
Advancements in deep neural networks have made remarkable leap-forwards crop detection. However, the detection of wheat ears is an important yet challenging task due to complex background, dense targets, and overlaps between ears. Currently, many detectors significant progress improving accuracy. some them are not able make a good balance computational cost precision meet needs deployment real world. To address these issues, lightweight efficient ear detector with Shuffle Polarized...
Background: The outbreak of the COVID-19 pandemic brought unique challenges to field healthcare, particularly surgical field. This retrospective cohort study aims compare risk site infection (SSI) and secondary between colorectal cancer (CRC) patients with a history those without. Method: A 200 CRC patients, comprising 100 documented without, were retrospectively analyzed. Independent sample t-tests for continuous variables, Chi-square tests categorical additionally univariate multivariate...
Background Despite substantial progress in reducing the global burden of chronic obstructive pulmonary disease (COPD), traditional methods to promote understanding and management COPD are insufficient. We developed an innovative model based on internet things (IoT) for screening primary healthcare (PHC). Methods Electronic questionnaire IoT-based spirometer were used screen residents. defined individuals with a score 16 or higher as high-risk population, was diagnosed according 2021 Global...
Pancreatic cancer (PC) is the deadliest malignancy due to late diagnosis. Aberrant alterations in blood proteome might serve as biomarkers facilitate early detection of PC. We designed a nested case-control study incident PC based on prospective cohort 38,295 elderly Chinese participants with ∼5.7 years' follow-up. Forty matched pairs passed quality controls for proximity extension assay 1,463 serum proteins. With lenient threshold p < 0.005, we discovered regenerating family member 1A...
The Inertial Navigation System/Global Positioning System (INS/GPS) fusion navigation technology commonly used by unmanned ground vehicles is prone to GPS interruption in complex environments, resulting the inability of system locate accurately. This paper designs an INS/GPS/Odometer/Vision/Magnetometer scheme response this problem. Add odometer, vision, and magnetometer INS/GPS integrated system, use odometer dead reckoning suppress position offset caused interruption, reduce cumulative...
Colorectal cancer (CRC) is one of the most common malignant tumors globally, with metastasis emerging as leading cause mortality in CRC patients. Transcription factors play pivotal roles metastatic process. Using bioinformatics tools, we analyzed TCGA-COAD and GES146587 datasets identified ZNF248 participating tumor progression. By analyzing 100 patient tissues, it found that highly expressed tissue well cell lines by qRT-PCR. Our study discovered enhances migratory invasive capabilities. A...
To the Editor: The vaccine-related adaptive immune systems, including humoral immunity induced by B cell reaction and cellular T cells, are crucial for controlling severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection.[1] Therefore, it is vital to clarify changes caused inactivated vaccines, which most commonly used in China, evaluating protective effect of vaccines formulating vaccination plans. study was approved Medical Research Ethics Committee Henan Provincial People's...
Currently, Remote sensing object detection methods based on deep learning have been widely used in military investigation, ocean monitoring, urban planning and post-disaster relief. However, many difficulties, such as complex backgrounds, indistinguishable appearances, large-scale variations, non-uniform distributions, limit the accuracy of detectors. To deal with these problems, a key feature-enhanced network (KFENet) is proposed to improve accuracy. Specifically, multi-scale feature fusion...
Deep learning-based object detection in remote sensing images is an important yet challenging task because of the complex background and large variations size targets. Currently, many detectors have made significant progress improving accuracy, but they not shown good performance terms speed model size. To address these issues, a lightweight efficient detector proposed. Specifically, we utilize MobileNetv3 with Shuffle Attention as feature extraction backbone network to reduce parameter...
In recent studies, remote sensing object detection methods based on deep learning have emerged as a primary concern in environmental monitoring, military investigation, and hazard response. However, many difficulties, such complex backgrounds, dense target quantities, large-scale variations, non-uniform distribution, lead to parameters network structures, thus limiting the accuracy of detector slowing inference speed. To address these issues, we propose lightweight efficient for images....