A5100771556- Advanced Fiber Laser Technologies
- Photonic Crystal and Fiber Optics
- Advanced Fiber Optic Sensors
- Advanced X-ray and CT Imaging
- Sentiment Analysis and Opinion Mining
- Advanced Image and Video Retrieval Techniques
- AI in cancer detection
- Advanced Neural Network Applications
- Advanced Decision-Making Techniques
- Radiomics and Machine Learning in Medical Imaging
- Remote Sensing and LiDAR Applications
- Optical Network Technologies
- RNA modifications and cancer
- Remote-Sensing Image Classification
- Neonatal and fetal brain pathology
- Medical Imaging Techniques and Applications
- Medicinal Plants and Bioactive Compounds
- Engineering Structural Analysis Methods
- Meat and Animal Product Quality
- MicroRNA in disease regulation
- Phonocardiography and Auscultation Techniques
- Cell Image Analysis Techniques
- COVID-19 diagnosis using AI
- Imbalanced Data Classification Techniques
- Regional Development and Environment
Northwest University
2023-2024
Chengdu University of Traditional Chinese Medicine
2024
Fourth Hospital of Hebei Medical University
2023
China University of Geosciences
2023
Nanjing Forestry University
2021-2023
Hebei Medical University
2023
China University of Geosciences (Beijing)
2023
Chinese Academy of Sciences
2023
Wenzhou Medical University
2022-2023
University of Chinese Academy of Sciences
2023
Abstract Terahertz (THz) radiation, spanning the 100 GHz to 10 THz frequency range, offers diverse applications in spectroscopy, material characterization, medical diagnostics, and environmental monitoring. Despite its potential, generating high-intensity, tunable radiation remains a significant challenge. In this work, we explore novel approach efficient generation based on laser-plasma interactions, utilizing photon deceleration principles. When relativistic CO 2 laser passes through...
In recent years, object detection based on deep learning has been widely applied and developed. When using methods to process remote sensing images, the trade-off between speed accuracy of models is necessary, because images pose additional difficulties such as complex backgrounds, small objects, dense distribution task. This paper proposes YOLO-RS, an optimized algorithm YOLOv4 address challenges. The Adaptively Spatial Feature Fusion (ASFF) structure introduced after feature enhancement...
Previous studies have revealed an association between dietary factors and atopic dermatitis (AD). To explore whether there was a causal relationship diet AD, we performed Mendelian randomisation (MR) analysis. The dataset of twenty-one obtained from UK Biobank. for AD the publicly available FinnGen consortium. main research method inverse-variance weighting method, which supplemented by MR‒Egger, weighted median mode. In addition, sensitivity analysis to ensure accuracy results. study that...
Epilepsy is the second common neurological disorder after headache, accurate and reliable prediction of seizures great clinical value. Most epileptic seizure methods consider only EEG signal or extract classify features ECG signals separately, improvement performance from multimodal data not fully considered. In addition, epilepsy are time-varying, with differences between each episode in a patient, making it difficult for traditional curve-fitting models to achieve high accuracy...
The street trees coverage ratio provides reliable data support for urban ecological environment assessment, which plays an important part in the index calculation.Aiming at statistical estimation of ratio, integrated model based on YOLOv4 and Unet network detecting extracting from remote sensing images is proposed, obtain estimated accurately.The experiments are carried out under self-made dataset, results show that accuracy detection 94.91%, 16.30% 13.81% two experimental scenes.The MIoU...
This study aims to evaluate the effect of naloxone on intravenous fentanyl patient-controlled analgesia after laparoscopic cholecystectomy under total anesthesia.A 90 patients, who underwent anesthesia, were included into this study. All patients randomly divided 3 groups (each group, n=30): group (naloxone+fentanyl), tropisetron (tropisetron+fentanyl), and (fentanyl). Patients in each given a corresponding dose naloxone. Postoperative incidence side effects such as nausea vomiting...
Non-small-cell lung cancer (NSCLC) is one of the most common malignancies worldwide, and cisplatin-based chemotherapy main treatment for NSCLC. However, cisplatin resistance NSCLC cells a major challenge treatment.qRT-PCR Western blot were performed to detect expression LINC02389 miR-7-5p in tissues cell lines. Cell counting kit-8 (CCK-8) assay flow cytometry applied exam proliferation apoptosis rate cells. The interaction between was verified by dual luciferase reporter gene assay, RNA...
Background: We aimed to explore the risk factors of lung nodules and cancer in physical ex-amination population with low-dose multi-slice spiral CT (LDCT) screening, provide basis for screening follow-up management after examination. Methods: The general data, serum tumor markers images 2,274 patients underwent LDCT Physical Examination Center Fourth Hospital Hebei Medical University, China 2019 were retrospectively analyzed followed up three years. Results: detection rate was 48.42%. higher...
A continuous wave (CW) ultra-narrow linewidth single-longitudinal mode (SLM) ytterbium-doped fiber laser (YDFL) based on narrowband Bragg grating (NB-FBG) and double-ring passive subcavity (DR-PS) was studied. The filtering characteristics of the are analyzed theoretically, it is used as a high-precision filter to eliminate dense longitudinal hopping YDFL ensure that operates in SLM state. Experimental results show has central wavelength 1030.052 nm at room temperature, an optical...
To evaluate the role of internal limiting membrane (ILM) peeling in preventing secondary epiretinal (ERM) formation pars plana vitrectomy (PPV) for proliferative diabetic retinopathy (PDR).This retrospective study analyzed medical records patients who underwent PPV PDR and were followed up minimum 3mo. ILM was performed based on intraoperative surgeons' judgments. ERM assessed by optical coherence tomography photography. The relationship between postoperative analyzed.In total, 212 eyes from...
Abstract This paper tries to improve the performance of imbalanced comment texts sentiment analysis by combining deep learning and class methods. A method for based on BiLSTM framework is proposed. For case more negative samples than positive samples, when degree imbalance low, minority are Adaptive Synthetic Sampling, CNN-BiLSTM model proposed realize classification constructing Sigmoid. When high, majority sampled multiple times until original dataset divided into low datasets. Then,...
There have been significant advancements in deep learning based object detection algorithms, which found widespread applications across various fields, including remote sensing. However, existing algorithms often fall short detecting complex objects sensing images, resulting suboptimal overall performance. To address this issue, letter proposes a novel algorithm called OYOLO, builds upon the YOLOv4 network and incorporates several optimization techniques. Firstly, feature enhancement is...
The 3-D point cloud segmentation has played an important role in spatial structure analysis. Nowadays, methods either use a primitive-based strategy to fit points predefined geometric shapes or group based on their attributes (e.g., distance). However, the required results, e.g., primitive level object level, depend application. Therefore, this letter develops semiautomatic method extract contours for users’ desired segmentation. First, we initialize closed curve target. Second, calculate...
This paper tries to improve the performance of imbalanced comment texts sentiment analysis by combining deep learning and class methods. A method for based on BiLSTM framework is proposed. For case more negative samples than positive samples, when degree imbalance low, minority are Adaptive Synthetic Sampling(ADASYN), CNN-BiLSTM model proposed realize classification constructing Sigmoid. When high, majority sampled multiple times until original dataset divided into low datasets. Then, groups...
To explore the effect of electric function training instrument for arteriovenous fistula on vascular index and puncture success rate in patients with autogenous fistulization (AVF).
The generic features of modulation instability (MI) in optical fibers are disclosed by application an extended nonlinear Schroedinger equation. role arbitrary higher-order dispersions, stimulated Raman scattering (SRS) and self-steepening (SS) MI is identified. It shown that all odd-order dispersions contribute nothing to MI, whereas even-order not only affect the conventional regions but may also lead appearance new regions. In presence SRS, gain spectrum consists two parts: spectrum. case...