A5100379413- Endometrial and Cervical Cancer Treatments
- Cancer-related molecular mechanisms research
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neural Network Applications
- Management of metastatic bone disease
- Soil and Land Suitability Analysis
- Computer Graphics and Visualization Techniques
- Cervical Cancer and HPV Research
- Advanced Vision and Imaging
- Robotics and Sensor-Based Localization
- Environmental Sustainability in Business
- Topic Modeling
- Spam and Phishing Detection
- Human Mobility and Location-Based Analysis
- Forest, Soil, and Plant Ecology in China
- Rangeland Management and Livestock Ecology
- Environmental Education and Sustainability
- Advanced Image Processing Techniques
- Soil Carbon and Nitrogen Dynamics
- Digital Media Forensic Detection
- 3D Shape Modeling and Analysis
- Urban Green Space and Health
- Complex Network Analysis Techniques
- Phenomenology and Existential Philosophy
- Flavonoids in Medical Research
Affiliated Hospital of Southwest Medical University
2020-2024
Hong Kong Metropolitan University
2023
Tumor Hospital of Guangxi Medical University
2023
University of Technology Sydney
2020-2022
Tongji University
2022
Stanford University
2020-2022
Wenzhou Medical University
2022
First Affiliated Hospital of Wenzhou Medical University
2022
Iowa State University
2021
Fudan University
2018-2020
The dramatic growth of the world’s population is increasing pressure on natural resources, particularly soil systems. At same time, inappropriate agricultural practices are causing widespread degradation. Improved management resources and identification potential capability soils therefore needed to prevent further land degradation, in dryland areas such as Egypt. Here, we present a case study El-Fayoum depression (Northern Egypt) model map suitability for 12 typical Mediterranean crops. Two...
Gestational diabetes (GDM) is prevalent and benefits from timely effective treatment, given the short window to impact glycemic control. Clinicians face major barriers choosing effectively among treatment modalities [medical nutrition therapy (MNT) with or without pharmacologic (antidiabetic oral agents and/or insulin)]. We investigated whether clinical data at varied stages of pregnancy can predict GDM modality.Among a population-based cohort 30,474 pregnancies delivered Kaiser Permanente...
A neural network method was employed to establish a dose prediction model for organs at risk (OAR) in patients with cervical cancer receiving brachytherapy using needle insertion.A total of 218 CT-based needle-insertion fraction plans loco-regionally advanced treatment were analyzed 59 patients. The sub-organ OAR automatically generated by self-written MATLAB, and the volume read. Correlations between D2cm3 each sub-organ-as well as high-risk clinical target bladder, rectum, sigmoid...
The Chinese authorities firmly encourage the use of electric cars to decrease global pollution and fossil fuel consumption (electric vehicles). Nevertheless, research aimed at determining customers’ switching intentions toward vehicles pro-environmental behavior are scarce in country. purpose this study is fill knowledge gap by scrutinizing linkage among general environmental knowledge, concern, eco-label attitude (ATT), intentions(SIN), that might affect SIN PEB context. present has...
Background Treatment of metastatic cervical cancer is a tricky issue. Currently, the National Comprehensive Cancer Network (NCCN) guideline recommends chemotherapy combined with bevacizumab for recurrent or cancer. Still, recurrence rate high and survival low after standard treatment. We urgently need to achieve multimodal therapy approach Case description report case patient stage IB2 squamous carcinoma who developed multiple metastases within short term receiving first-line treatment, she...
Objectives. To differentiate the primary site of brain metastases (BMs) is high clinical value for successful management patients with BM. The purpose this study to investigate a combined radiomics model computer tomography (CT) and magnetic resonance imaging (MRI) images in differentiating BMs originated from lung breast cancer. Methods. Pretreatment cerebral contrast enhanced CT T1-weighted MRI 78 179 cancer were retrospectively analyzed. Radiomic features extracted contoured BM lesions...
In this paper, we present a novel 3D object detection framework for locating bounding boxes of the target in autonomous driving scenes. Our proposed consists two modules, which are twofold proposal fusion module and RoI deep module. former module, utilized voxel Sparse Convolution Neural Network (CNN) PointNet-like network to coarse generate voxel-based point-based proposals, where these proposals contain voxel-dense point-wise features under raw point cloud. Twofold integrated those...
A deep learning method is provided in this paper to deblur images captured behind OLED screen named Camera Under Display (CUD). Because of optical diffraction pixel pattern, by front camera under the display panel are unfavorably blurred. This proposed a modified GAN training network these images, with result showing perceptually clearer image better restored high spatial frequency information.
Online-to-Offline (O2O) e-commerce service platforms and their users are faced with various fraud risks. Among them, financial identity theft is a widely existing challenge. However, methods insufficient to detect this type of fraud. In paper, we address the detection problem in services by leveraging access environment behavior sequence. To explore patterns, first make detailed analysis using real cases from Meituan, leading O2O platform China. Our findings twofold. First, fraudulent...
A deep learning method is provided in this paper to deblur images captured behind OLED screen named Camera Under Display (CUD). Because of optical diffraction pixel pattern, by front camera under the display panel are unfavorably blurred. This proposed a modified GAN training network these images, with result showing perceptually clearer image better restored high spatial frequency information.
Traffic sign recognition (TSR) systems on the vehicles can collect posted speed limit information and have been in commercial usage since 2008. A daily-updated auto-pilot map be constructed based massive amounts of TSR observations from multiple consumer vehicles; data is then aggregated, filtered processed, learned signs finally transferred to with high-coverage real-time information. Compared direct detection by systems, complement current errors, reduce camera cost provide a continuous...
Google Scholar has been a widely used platform for academic performance evaluation and citation analysis. The issue about the mis-configuration of author profiles may seriously damage reliability data, thus affect accuracy Therefore, it is important to detect mis-configured profiles. Dealing with this challenging because scale dataset large manual annotation time-consuming relatively subjective. In paper, we first collect Scholar’s in field computer science compare reliable ones. Then,...
Background Despite the significant progress made in radiotherapy and chemotherapy for treatment of cervical cancer, patients with lymph node metastasis still have a poor prognosis. It is widely accepted that plays crucial role spread cancer to other organs considered an independent factor predicting However, recent research suggests importance nodes tumor therapy needs be reevaluated, as preserving integrity before immunotherapy can enhance effectiveness. Case presentation In this report, we...
To clarify the genetic diagnosis of two children with ring chromosome 18 and explore their mechanisms clinical phenotypes.
The average 5-year overall survival (OS) rate of locally advanced cervical cancer (LACC) is unsatisfactory, this study was to investigate the clinical factors chemoradiotherapy resistance in after chemoradiation and improve efficacy. A total 965 LACC patients treated with radical chemoradiotherapy, were categorized into two groups: chemoradiotherapy-resistant chemoradiotherapy-sensitive. curve drawn by Kaplan-Meier method using R language package. Log-rank test applied analyze difference...
Aiming at the problem of host load forecasting in mobile cloud computing, Long Short Term Memory networks (LSTM) is introduced, which suitable for complex and long-time series data environment a algorithm based on Glowworm Swarm Optimization LSTM neural network proposed. Specifically, we build model using network, Algorithm (GSO) used to search optimal parameters research analysis computing center. Finally, simulation experiments are implemented similar prediction algorithms compared. The...