A5110457400- High-Energy Particle Collisions Research
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Particle Detector Development and Performance
- Advanced X-ray and CT Imaging
- Nuclear physics research studies
- Image and Signal Denoising Methods
- Geophysical Methods and Applications
- Metamaterials and Metasurfaces Applications
- Helicobacter pylori-related gastroenterology studies
- Advanced Antenna and Metasurface Technologies
- Atomic and Molecular Physics
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Antenna Design and Analysis
- Advanced Radiotherapy Techniques
- Smart Agriculture and AI
- Radiation Therapy and Dosimetry
- Spectroscopy and Chemometric Analyses
- Blind Source Separation Techniques
- Gaze Tracking and Assistive Technology
- Medical Image Segmentation Techniques
- Kruppel-like factors research
- Date Palm Research Studies
Institute of Modern Physics
2022-2024
Fudan University
2022-2024
Sir Run Run Shaw Hospital
2022-2024
Zhejiang University
2022-2024
Sichuan Agricultural University
2024
Beijing University of Chinese Medicine
2024
Merck (Singapore)
2020
University of Science and Technology of China
2015-2020
Shanghai Institute of Applied Physics
2020
Chinese Academy of Sciences
2020
Abstract We proposed an ultra-broadband reflective metamaterial with controlling the scattering electromagnetic fields based on a polarization convertor. The unit cell of convertor was composed three layers substrate double metallic split-rings structure and metal ground plane. that rotation angle 90 deg had been employed as “0” “1” elements to design digital metamaterial. numbers were chosen information entropy theory. Then, optimized combinational format selected by genetic optimization...
PET is a popular medical imaging modality for various clinical applications, including diagnosis and image-guided radiation therapy. The low-dose (LDPET) at minimized dosage highly desirable in clinic since involves ionizing radiation, raises concerns about the risk of exposure. However, reduced dose radioactive tracers could impact image quality diagnosis. In this paper, supervised deep learning approach with generative adversarial network (GAN) cycle-consistency loss, Wasserstein distance...
Abstract The pathogenesis of bladder pain syndrome/interstitial cystitis (BPS/IC) is currently unclear. However, inflammation has been suggested to play an important role in BPS/IC. JNK downstream signaling plays numerous chronic inflammatory diseases. studies the pathway BPS/IC are limited. In this study, we investigated human and rat protamine sulfate (PS)-induced examined effect selective inhibitor SP600125 on cystitis. our demonstrated that was activated (the expression JNK, c-Jun,...
An effective and precise method for shoreline detection from satellite imagery is presented.The algorithm based on two main steps: (1) the of singularities in a single image using non-separable wavelet (2)amendment procedure distance regularized level set evolution scheme.Firstly, by selecting appropriate parameters, filter banks which can provide information different orientations are used to capture selected image; Secondly, obtaining modulus utilizing sub-images decomposed banks; Thirdly,...
We report the first measurement of Λc+ baryon production and significantly improved Ds+ meson production, within rapidity range |y|<1 in Au+Au collisions at sNN=200GeV from STAR experiment. The transverse momentum spectra as well their yield ratios to that D0 are also presented compared theoretical calculations. Both Λc+/D0 Ds+/D0 found be enhanced with respect those p+p predicted by PYTHIA. A model calculation including coalescence hadronization thermalized charm quarks is consistent...
Background: It is known that the contribution of risk alleles to chronic obstructive pulmonary disease (COPD) may vary between populations. Further, previous studies involving various ethnic groups have revealed associations COPD and genetic polymorphisms in families with sequence similarity 13, member A ( FAM13A ), micro-RNA 2054 MIR2054 SET domain containing protein 7 SETD7 ring finger 150 RNF150 hedgehog interacting HHIP vascular endothelial growth factor VEGFA ). Our objective was...
Abstract Under the condition of limited memory and computing power radar aircraft equipment, large-scale object detection network based deep learning can not be deployed. Based on darknet framework, Our paper proposes a lightweight for range doppler(RD) images: YOLO-RD, builds RD dataset: mini-RD, efficient training. Firstly, YOLO-RD extracts features from input image through series small convolutional. Secondly, dense block connection module is used to design backbone extraction network....
We present a study of charm and beauty isolation based on data-driven method with recent measurements heavy flavor hadrons their decay electrons in Au+Au collisions at sNN = 200 GeV RHIC. The individual electron pT spectra, RAA v2 distributions from charmed hadron decays are obtained. find that the (RAAb→e) is suppressed minimum bias but less compared > 3.5 GeV/c, which indicates quark interacts hot-dense medium depositing its energy consistent mass-dependent loss scenario. For first time,...
Positron emission tomography (PET) is a promising medical imaging technology that provides non-invasive and quantitative measurement of biochemical process in the human bodies. PET image reconstruction challenging due to ill-poseness inverse problem. With lower statistics caused by limited detected photons, low-dose leads noisy reconstructed images with much quality degradation. Recently, deep neural networks (DNN) have been widely used computer vision tasks attracted growing interests...
This study addresses the challenges of low detection precision and limited generalization across various ripeness levels varieties for large non-green-ripe citrus fruits in complex scenarios. We present a high-precision lightweight model, YOLOC-tiny, built upon YOLOv7, which utilizes EfficientNet-B0 as feature extraction backbone network. To augment sensing capabilities improve accuracy, we embed spatial channel composite attention mechanism, convolutional block module (CBAM), into head’s...
As an important part of the tongue, tongue coating is closely associated with different disorders and has major diagnostic benefits. This study aims to construct a neural network model that can perform complex segmentation. addresses issue segmentation in intelligent diagnosis automation.
Objective. To develop a cycle-consistent learning-based hybrid iterative reconstruction (IR) method that takes only slightly longer than analytic reconstruction, while pursuing the image resolution and tumor quantification achievable by IR for whole-body PET imaging.Approach. We backproject raw positron emission tomography (PET) data to generate blurred activity distribution. From backprojection label, mapping approximates deblurring filters point spread function physical effects of system...
Nowadays, electric wheelchairs on the market mostly were controlled by joystick which required users to operate hands flexibly. But this wheelchair could not be used patients with hand disability or paraplegics. This paper designs an eye movements. An tracker of Tobii is connected a wheelchair. The convert movement signals into coordinate gazing points. these data points are too diverging directly. Kalman filter algorithm and obtain optimal data. By discriminating movement-controlled panel...
Objective. One critical task for adaptive proton therapy is how to perform spot weight re-tuning and reoptimize plan, both of which are time-consuming labor intensive. We proposed a deep learning framework (SWFT-Net) speed up such task, starting point us move towards online therapy.Approach. For H&N patient case, reference intensity modulated plan was generated. data augmentation, weights were modified generate three datasets (DS10, DS30, DS50), corresponding different levels adjustment....
Esophageal carcinoma (EC) is a common malignancy worldwide. Previous studies indicated that gastrointestinal gland cancer and EC share some susceptibility loci. Our aim was to identify new single nucleotide polymorphisms (SNPs) associated with by investigating whether known cancers loci are found in patients. A Chinese Han population case-control study conducted assess SNP associations risk. Twenty-six SNPs were selected from loci, 360 patients 310 controls genotyped for these using Sequenom...
Purpose FDG PET imaging is often recommended for the diagnosis of pulmonary nodules after indeterminate low dose CT lung cancer screening. Lowering injecting desirable imaging. In this work, we aimed to investigate performance a deep learning framework in automatic diagnoses at different count levels Materials and methods Twenty patients with 18F-FDG-avid were included divided into independent training (60%), validation (20%), test (20%) subsets. We trained convolutional neural network...